CN114357321A

CN114357321A - Building energy consumption management method and system based on intelligent operation and maintenance

Info

Publication number: CN114357321A
Application number: CN202111665896.1A
Authority: CN
Inventors: 严永康; 吉达伟; 沈张华; 马进华
Original assignee: Jiangsu Guoying Information Technology Co ltd
Current assignee: Jiangsu Guoying Information Technology Co ltd
Priority date: 2021-12-30
Filing date: 2021-12-30
Publication date: 2022-04-15

Abstract

The application relates to a building energy consumption management method and system based on intelligent operation and maintenance, wherein the method comprises the following steps: receiving an energy consumption query request sent by a resident account through a terminal; inquiring the usage amount of each energy source corresponding to each day after the initial time in a preset energy consumption record database according to the residential position identification; generating a graph of the daily usage of each energy source after the self-initiation time, respectively; inquiring the consumption of each energy source in each day corresponding to each living position identification after the starting time in an energy consumption database; calculating the average daily consumption of each energy; obtaining an energy consumption reference line and a daily consumption comparison map corresponding to each energy source respectively; and sending all the obtained daily consumption comparison maps to the use terminal. The application has the technical effects that: the system is beneficial to timely discovering and consuming excessive energy by residents, and carrying out targeted energy consumption management to save energy.

Description

Building energy consumption management method and system based on intelligent operation and maintenance

Technical Field

The application relates to the field of intelligent operation and maintenance, in particular to a building energy consumption management method and system based on the intelligent operation and maintenance.

Background

At present, when the understanding of operation and maintenance is considered separately, "operation" refers to the work that must be checked, analyzed and performed in the daily work process, and plays a role in finding problems. And the dimension is to make a maintenance plan and further execute after the problems are determined and further detailed diagnosis and analysis are carried out on the problems. After the 'maintenance' action, the user still needs to return to the 'operation' work, whether the problem is solved or not is judged, and therefore the whole operation and maintenance activity is completely closed.

The intelligent operation and maintenance is an operation and maintenance mode based on the development of a cloud platform and big data, but the intelligent level of the domestic operation and maintenance is still in a more primary stage at present. The main function that the wisdom fortune dimension was used in the community is for monitoring the electric energy that each building consumed in the community and community security protection etc. and the managers of community can look over the power consumption condition in each region at the background.

In view of the above-mentioned related art, the inventors found that at least the following problems exist in the art: most of buildings in the community are residential buildings, residents living in the community can only count various consumed energy sources through energy cost documents of water, electricity, gas and other energy sources at the end of a month, when energy consumption in a certain month is more, the residents are difficult to accurately know the reason of more energy consumption, and targeted energy consumption management is performed according to the known reason so as to save energy.

Disclosure of Invention

In order to solve the problem, the application provides a building energy consumption management method and system based on intelligent operation and maintenance.

In a first aspect, the application provides a building energy consumption management method based on intelligent operation and maintenance, which adopts the following technical scheme:

the method comprises the following steps:

receiving an energy consumption query request sent by a resident account through a terminal, wherein the energy consumption query request comprises a residence position identifier and starting time corresponding to the resident account;

inquiring the consumption of each energy source corresponding to each day after the initial time in a preset energy consumption record database according to the residential position identification;

generating a graph of the daily usage of each energy source, respectively, since the start time;

inquiring the consumption of each energy source in each day corresponding to each living position identification after the starting time in an energy consumption database;

calculating the average daily consumption of each energy;

according to the energy types and dates, respectively taking points of all average consumption on a graph of the daily consumption of each type of energy and connecting the points to obtain an energy consumption reference line and a daily consumption comparison map corresponding to each type of energy;

and sending all the obtained daily consumption comparison maps to the use terminal.

By adopting the technical scheme, each household in the community can inquire the daily consumption of various energy sources through the terminal, can know the trend of the recent consumption of each energy source according to the daily consumption comparison chart corresponding to each energy source, can help the residents to judge whether the energy sources with the consumption far exceeding the average level exist through comparison with the energy consumption reference line, help the residents to find excessive energy sources in time, and perform targeted energy consumption management to save energy.

Optionally, the querying, in the energy consumption database, the consumption amount of each energy source per day corresponding to each residential location identifier after the starting time includes:

querying population composition information corresponding to the residential position identification in the energy consumption query request in a preset residential data database, wherein the population composition information comprises the number of adults and the number of minors;

inquiring a residential position identifier with corresponding population composition information identical to the population composition information corresponding to the energy consumption inquiry request in the preset residential data database;

and inquiring the consumption of each energy source every day corresponding to each residential position identification inquired after the initial time in the energy consumption database.

By adopting the technical scheme, when the energy consumption reference line corresponding to the resident with energy consumption is calculated and inquired by the platform, the family with the population structure identical to that of the family in which the resident is positioned is screened out, so that the calculated energy consumption reference line is closer to the reality, the energy consumption reference line has reference significance, and the energy consumption reference line is more helpful for assisting the resident to make accurate judgment according to the energy consumption reference line.

Optionally, the method further includes:

receiving an energy consumption monitoring request sent by a resident account through a using terminal, wherein the energy consumption monitoring request comprises a residence position identifier corresponding to the resident account;

the historical daily consumption of each energy source of the residential position identification in a preset time range is adjusted, and the duration of the preset time range is more than one week;

setting a cycle period as one week, and classifying the consumption of each energy source taken out every day according to the week and the day of the week;

calculating the average value of the consumption of each energy source corresponding to each week and date as the reference consumption of each energy source corresponding to each week and date;

receiving the consumption of various energy sources sent by a data acquisition terminal corresponding to the living position identification;

when detecting that the consumption of energy on the same day exceeds the consumption difference of the reference consumption corresponding to the energy in the week day corresponding to the same day, marking the energy as over-consumed energy;

and sending an energy over-consumption reminder to the using terminal, wherein the energy over-consumption reminder comprises over-consumption energy and consumption.

By adopting the technical scheme, aiming at residents with energy consumption monitoring requirements, the platform can automatically calculate the contrast consumption of each energy source of the residents every day in a week according to the historical energy consumption of the residents, when the platform monitors that the used energy sources in the day seriously exceed the corresponding contrast consumption, the platform can automatically remind the residents, the residents can judge whether the useful electric appliances or the water faucet forgets to be closed according to the received energy source over-consumption reminding, and the platform is closed in time, so that the energy source monitoring system is beneficial to reducing the energy waste.

Optionally, the calculating an average value of the consumption of each energy source corresponding to each day of the week as the reference consumption of each energy source corresponding to each day of the week comprises:

segmenting the time of each week and each date according to a preset time segmentation rule;

calculating an average value of the consumption amount of each energy source in each time period of each week and date as a control consumption amount of each energy source in each time period of each week and date;

when the fact that the consumption of energy on the same day exceeds the consumption difference of the corresponding reference consumption of the energy in the week day corresponding to the same day, which is higher than a preset difference threshold value, is detected, the energy is marked as over-consumed energy including;

if a time period exists in which the consumption of the corresponding energy exceeds the comparison consumption of the energy in the same time period on the week and the date corresponding to the day, and the consumption difference value of the consumption of the energy exceeding the comparison consumption is higher than a preset difference value threshold, judging whether the comparison consumption is zero;

if so, marking the energy corresponding to the comparison consumption as leakage energy, and calculating the leakage rate of the leakage energy;

the sending of the energy over-consumption reminder to the user terminal, the energy over-consumption reminder including over-consumption energy and consumption includes:

sending an energy source leakage prompt to a user terminal, wherein the energy source leakage prompt comprises leaked energy sources and corresponding leakage rates;

otherwise, the energy corresponding to the contrast consumption is marked as over-consumption energy, and an energy over-consumption reminder is sent to the use terminal, wherein the energy over-consumption reminder comprises over-consumption energy and consumption.

By adopting the technical scheme, the platform can accurately monitor the consumption of each energy every day to each time period, thereby being beneficial to improving the accuracy of monitoring the energy of residents. When the platform detects that the energy with the current consumption which is seriously beyond the comparison consumption of the same time period exists, whether the comparison consumption of the energy in the same time period is zero is further judged, if yes, the energy leakage caused by the accidents such as pipeline breakage is probably explained, the energy leakage condition is favorably handled by residents in time, and the loss of the residents is favorably reduced.

Optionally, after the calculating an average of the consumption amount of each energy source in each time period of each day of the week as the control consumption amount of each energy source in each time period of each day of the week, the method further comprises:

generating a resident energy consumption model corresponding to the residential position identification, wherein the energy consumption model comprises the contrast consumption of each energy source in each time period of each week, date and day;

the method further comprises the following steps:

acquiring environmental temperature information sent by a temperature detection terminal;

if the environment temperature value corresponding to the environment temperature information exceeds a preset high-temperature value, recording the environment temperature value and the time point of obtaining the environment temperature information, and calling out energy consumption models of all residents;

selecting the comparison consumption of the electric energy in each time period after the time point on the week and the date corresponding to the day from the adjusted resident energy consumption models;

adding the selected comparison consumption according to different time periods to obtain the total power consumption of each time period;

selecting the time period with the maximum total power consumption;

and generating and storing a closing instruction corresponding to the selected time period, and automatically sending the closing instruction to landscape equipment in a preset landscape equipment list when the selected time period is reached.

Through adopting above-mentioned technical scheme, the energy consumption model that every resident corresponds can be generated automatically to the platform, during summer high temperature, when the platform detected ambient temperature too high, the resident probably consumed more electric quantities through heating and ventilating equipment, and the power consumption condition of resident at every time quantum on the high temperature day is estimated to the platform, and automatic shutdown landscape equipment helps reducing the load of electric wire netting during resident's power consumption peak time quantum.

Optionally, the recording the ambient temperature value and the obtaining the time point of the ambient temperature information include:

recording the high-temperature grade as one grade and the time point of obtaining the environment temperature information, wherein the higher the environment temperature value is, the higher the grade number of the corresponding high-temperature grade is;

the selecting of the time period with the maximum total power consumption includes:

sequencing the time periods from large to small according to the total power consumption;

selecting a time period with the maximum total power consumption, and taking the selected time period as an early warning time period;

after the generating and storing the closing instruction corresponding to the selected time period, the method further includes:

receiving environmental temperature information sent by a temperature detection terminal in real time and recording the time point when the environmental temperature information is received;

if the environment temperature value corresponding to the environment temperature information is increased, sequentially increasing the recorded series of high-temperature grades along with the increase of the environment temperature value according to a preset high-temperature grading rule;

sequentially increasing the number of early warning time periods along with the sequential increase of the grade number of the high-temperature grade, wherein the increased early warning time periods are sequentially selected from the sequenced time periods in sequence;

whenever an increase in the early warning time period is detected, determining whether the increased early warning time period is before a most recently recorded time point;

if not, generating and storing a closing instruction corresponding to the newly increased early warning time period, and automatically sending the closing instruction to the landscape equipment in the preset landscape equipment list when the newly increased early warning time period is reached.

By adopting the technical scheme, in summer, the higher the ambient temperature is, the more the heating and ventilation energy consumption is, the number of the early warning time periods corresponding to the current day and for closing the landscape equipment can be automatically calculated by the platform according to the rise of the high temperature grade of the current day, and when the specific early warning time period is reached, and when each early warning time period is reached, a closing instruction is automatically sent to the landscape equipment, so that the load of a power grid is further reduced in the peak period of power consumption of residents.

Optionally, a public power consumption query request sent by a management account through a management terminal is received, where the public power consumption query request includes a start date and an end date;

inquiring corresponding power consumption of all preset public equipment types between a starting day and an ending day in a preset power consumption record database;

sending the power consumption corresponding to each inquired public equipment type to a management terminal;

receiving a request for clearing the shared power consumption cost sent by a management terminal, wherein the request for clearing the shared power consumption cost comprises the selected public equipment type;

calculating power consumption charges corresponding to each public equipment type in the shared charge clearing request from the starting date to the ending date according to a preset power charge calculation rule, and obtaining total power consumption charges corresponding to all public equipment types;

inquiring living position identifications with zero energy consumption of each kind between the starting date and the ending date in a preset energy consumption record database, and counting the number of the living position identifications;

subtracting the counted number of the residential position identifications from the number of the preset total residential position identifications to obtain the number of residential users;

and dividing the calculated total power consumption by the number of the residential households to obtain the shared power consumption of each household, and sending the shared power consumption to the management terminal.

By adopting the technical scheme, the platform can automatically calculate the power consumption of each public equipment type within a period of time and can calculate the total power consumption corresponding to all the public equipment types. The platform can automatically screen out vacant houses in the community, so that the number of the residents living in the community is obtained, and the shared power consumption cost required to be borne by each household is automatically calculated according to the number of the resident residents. Thereby improving convenience for the work of the manager.

The second aspect, this application provides a building energy consumption management system based on wisdom fortune dimension, adopts following technical scheme: the system comprises: using a terminal and a platform, the platform to:

calculating the average daily consumption of each energy;

By adopting the technical scheme, each household in the community can inquire the daily consumption of various energy sources through the terminal, can know the recent consumption trend of each energy source according to the daily consumption comparison chart corresponding to each energy source, and can determine whether each energy source is excessively used relative to the average level through comparison with the energy consumption reference line, thereby being beneficial to timely discovering the excessively consumed energy sources by the household and carrying out targeted energy consumption management to save energy.

In a third aspect, the present application provides a computer device, which adopts the following technical solution: the intelligent operation and maintenance based building energy consumption management device comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and executes any one of the intelligent operation and maintenance based building energy consumption management device methods.

In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions: a computer program is stored which can be loaded by a processor and used for executing any one of the above-mentioned intelligent operation and maintenance-based building energy consumption management methods.

In summary, the present application includes at least one of the following beneficial technical effects:

1. each household resident in the community can inquire the daily consumption of various energy sources through the terminal, can know the recent consumption trend of each energy source according to the daily consumption comparison map corresponding to each energy source, and can determine whether each energy source is excessively used relative to the average level through comparison with the energy consumption reference line, so that the resident can find the excessively consumed energy sources in time and perform targeted energy consumption management to save the energy sources;

2. the platform can accurately monitor the consumption of each energy source every day to each time period, thereby being beneficial to improving the accuracy of monitoring the energy sources of residents. When the platform detects that the energy with the current consumption which is seriously beyond the comparison consumption of the same time period exists, whether the comparison consumption of the energy in the same time period is zero is further judged, if yes, the energy leakage caused by the accidents such as pipeline breakage is probably explained, the energy leakage condition is favorably handled by residents in time, and the loss of the residents is favorably reduced.

Drawings

Fig. 1 is a flowchart of a building energy consumption management method based on intelligent operation and maintenance according to an embodiment of the present application.

Fig. 2 is a block diagram illustrating a building energy consumption management device based on intelligent operation and maintenance according to an embodiment of the present application.

Fig. 3 is a block diagram of a building energy consumption management device based on intelligent operation and maintenance according to another embodiment of the present application.

Fig. 4 is a block diagram of a building energy consumption management device based on intelligent operation and maintenance according to another embodiment of the present application.

Fig. 5 is a block diagram of a building energy consumption management device based on intelligent operation and maintenance according to another embodiment of the present application.

Description of reference numerals: 20. using the terminal; 21. a platform; 30. a data acquisition terminal; 40. a temperature detection terminal; 41. landscape equipment; 50. and managing the terminal.

Detailed Description

The application discloses building energy consumption management method based on intelligent operation and maintenance. The method is based on a use terminal, a platform, a management terminal and a plurality of data acquisition terminals. The use terminal and the management terminal can be intelligent equipment such as a mobile phone, a computer and the like. The platform can be the server, and every family all is equipped with a data acquisition terminal, and data acquisition terminal can be data collection station, and data collection station can carry out data acquisition to multiple intelligent instrument such as water gauge, ammeter and gas table to with the data transmission who gathers to the platform, resident's accessible user terminal interacts with the platform, and management terminal can look over the monitoring data of energy consumption through the platform.

In one embodiment, as shown in fig. 1, there is provided a building energy consumption management method based on intelligent operation and maintenance, the method comprising the following steps:

and S10, receiving an energy consumption inquiry request sent by the resident account through the using terminal.

Specifically, after logging in an account on the platform, a resident can click an area corresponding to the energy consumption query on the use interface, and automatically send an energy consumption query request to the background, wherein the energy consumption query request comprises a residence position identifier and starting time corresponding to the resident account. The living location identification and the living location of the residents in the community can be the number of buildings, the number of units and the specific number of households, and can be manually set when the residents create account numbers.

And S11, respectively generating a graph management terminal for the daily usage of each energy source.

Specifically, the platform queries the consumption of each energy source corresponding to each day after the initial time in a preset energy consumption database according to the resident residence position identification. The energy source may include electricity, water, gas, and the like. And each household is correspondingly provided with a data acquisition terminal, and the data acquisition terminals are in one-to-one correspondence with the living position identifications. The energy consumption database is preset, and after the processor receives the consumption of various energy sources sent by the data acquisition terminal, the consumption of various energy sources and the living position identification corresponding to the data acquisition terminal are stored into the energy consumption database in a correlation mode. After inquiring the consumption of each energy source corresponding to each day, the background extracts points of the daily consumption of each energy source in a preset blank chart, the abscissa of the blank chart is days, the ordinate of the blank chart is the consumption of the energy source, the points are extracted and then connected to obtain a curve graph corresponding to the energy source, and each energy source generates a corresponding curve graph.

And S12, calculating the average consumption of each energy source every day.

Specifically, the platform queries the energy consumption record database for the consumption of each energy source per day between the start corresponding to each residential location identifier, calculates the sum of the consumption of all households in each energy community per day, and divides the sum by the number of households in the sum to obtain the average consumption of each energy source per day.

And S13, obtaining an energy consumption reference line and a daily consumption comparison map corresponding to each energy source respectively.

Specifically, the platform sequentially points the average daily consumption amount corresponding to each energy source in the generated graph corresponding to each energy source according to the date, and connects the two adjacent points to obtain the energy consumption reference line corresponding to each energy source. And the energy consumption reference line and the graph corresponding to each energy source form a daily consumption comparison chart corresponding to each energy source.

And S14, sending all the obtained daily consumption comparison maps to the use terminal.

Specifically, the platform sends the daily consumption map corresponding to each energy source to the use terminal, the resident can check the daily consumption of each energy source and the trend of the consumption of each energy source after the starting time on the use terminal, and can judge the magnitude relation between the consumption of each energy source and the average level according to the reference line, so that the resident can judge whether the energy source with the consumption far exceeding the average level exists, the resident can manage the consumption of each energy source, and the consumption can be reduced in a targeted manner aiming at the excessive energy source to save the energy source.

In another embodiment, considering that the number of people in different households and the composition of population are different, which may cause a large difference in consumption of each energy source, after the platform generates a graph of the daily usage of each energy source according to the queried usage of each energy source for the residents per day, population composition information corresponding to the residential position identifier in the energy consumption query request sent by the residents is queried in a preset resident data database, and the population composition information comprises the number of adults and the lives of minors.

The resident data database is preset, and the working personnel can obtain the corresponding resident position information of each household and the identity information of residents. And the background inquires a residence position identifier with the same population composition as the population composition corresponding to the energy consumption inquiry request in a preset resident data database. The consumption of each energy source per day corresponding to all residential location identifications with the same population composition after the starting time is inquired in the energy consumption database. And then calculating the average consumption of each energy source every day according to the consumption of each energy source every day corresponding to all the inquired residential position identifications, and carrying out point taking and line connecting on the average consumption of each energy source every day in each graph to obtain a daily usage amount comparison map. And selecting data of energy consumption amount with the population composition same as that of the household in which the resident performs the energy consumption query request as reference, and making a daily usage amount comparison map, so that the daily usage amount comparison map is closer to the reality of the resident and has higher referential property.

In yet another embodiment, it is considered that the energy is wasted when the residents use the electricity-off devices or the gas devices forget to be turned off in time. The resident can open the option of energy consumption control in the user interface to send the energy consumption control request to the background, after opening, the background will continuously monitor the resident's energy consumption condition. And the background calls the historical daily consumption of each energy source of the resident in a preset time range according to the residential position identification in the energy consumption monitoring request, wherein the duration of the preset time range is more than one week. The preset time range may be 2 weeks or 3 weeks. The life rules of most people circulate by one week, the platform sets the circulation period as one week, the platform classifies the consumption of each energy source in each day according to the week and the day of the week, sums the consumption of each energy source corresponding to each week period respectively, divides the sum by the number of times of the corresponding week and the corresponding day within the preset time range to obtain the average value of the consumption of each energy source corresponding to each week and the corresponding day, and takes the average value as a comparison value. For residents turning on the option of energy consumption monitoring, the platform may update the comparison value of the consumption of each energy source for each day of the week corresponding to the resident once a day.

The platform monitors the current consumption of each kind of energy, if the energy consumption exceeds the comparison consumption of the energy in the current corresponding week period, a difference value between the energy consumption and the comparison consumption is calculated, if the difference value is larger than a preset difference value threshold value, the energy consumption is greatly larger than the daily consumption, the energy is marked as over-consumed energy, and an energy over-consumption reminder is sent to a user terminal corresponding to a resident, wherein the energy over-consumption reminder comprises over-consumed energy and the corresponding consumption. And if the difference between the energy consumption and the reference consumption is not greater than a preset difference threshold, continuing to monitor the energy consumption. After receiving the energy over-consumption prompt, the residents can remember whether the corresponding energy consumption equipment is timely turned off or not according to the over-consumption energy, so that the residents can timely find the equipment forgotten to be turned off and the energy waste is reduced.

In still another embodiment, considering that the consumption amounts of residents in different periods of a day are different for the same energy source, the determination is made only on the basis of whether the consumption amount of the energy source exceeds the total usage amount of the day, which tends to result in a low accuracy of the determination result. The platform is used for taking out the historical daily consumption of each energy source of the resident in a preset time range, classifying the consumption according to the days of the week and segmenting the time of each day of the week and the date according to a preset time period segmentation rule. All week dates apply to the same time period segmentation rule. The time period segmentation rule may segment 24 hours of a day with 2 hours as a time period, and a starting point of the segmentation may be a zero point.

The platform calculates the average of the consumption of each energy source in each time period of each day of the week and the average is used as the control consumption. The platform detects the usage amount of each energy in different time periods, if the fact that the consumption amount of the energy exceeds the comparison consumption amount of the energy in the current time period in the week day corresponding to the current day is found, a difference value between the consumption amount and the comparison consumption amount is calculated, whether the difference value exceeds a preset difference value threshold value is judged, if yes, whether the comparison consumption amount used for calculating the difference value is zero is judged, if yes, the resident cannot use the energy in the current time period in daily life, energy leakage possibly caused by accidents such as pipeline breakage can be judged, the platform marks the energy as leakage energy and calculates the leakage rate, and the platform sends an energy leakage prompt to the resident, wherein the energy leakage prompt always comprises the leakage energy and the corresponding leakage rate; otherwise, the energy is marked as over-consumed energy and an energy over-consumption reminder is sent to the residents, wherein the energy over-consumption reminder comprises the over-consumed energy and consumption corresponding to the over-consumed energy. And if the difference between the calculated consumption and the comparison consumption does not exceed a preset difference threshold, continuing to monitor the consumption of the energy. The difference threshold values corresponding to different energy types are different, and the difference threshold values can be preset by residents according to the use conditions of the residents. Therefore, the accurate monitoring of the energy consumption of the residents in each time period is realized, and the residents can find the energy leakage timely.

In another embodiment, considering that residents can intensively use heating and ventilation equipment in summer high-temperature weather, the consumption of electric energy is large, the load on a power grid is large, tripping operation, power failure and the like are prone to occur, the platform calculates the average value of the consumption of each energy source of the residents in each time period of each week and each date, and generates a resident energy consumption model corresponding to the resident position identification after the average value is used as comparison consumption, wherein the resident energy consumption model comprises the comparison consumption of each energy source in each time period of each week and date day.

The method comprises the steps that a platform obtains environment temperature information sent by a temperature detection terminal arranged in a community, the environment temperature information comprises an environment temperature value, the platform judges whether the temperature value exceeds a preset high-temperature value, if yes, the environment temperature value and the time point when the environment temperature value is detected to be larger than the high-temperature value are recorded, and energy consumption models of all residents are taken out; otherwise, the ambient temperature continues to be monitored. And after all the resident power consumption models are taken out by the platform, the environmental temperature value and the time point are recorded. The temperature detection terminal may be a temperature sensor. And selecting the comparison consumption of the electric energy in each time period after the recorded time point on the week and the date corresponding to the day by the platform in the adjusted resident energy consumption model. And adding the selected comparison consumption amounts according to different time periods by the platform to obtain the total power consumption amount of each time period. And selecting the time period with the maximum total power consumption by the background, generating and storing a closing instruction corresponding to the selected time period, and automatically sending the closing instruction to the landscape equipment in the preset landscape equipment list when the selected time period is reached. After the selected time period passes, an opening instruction can be automatically sent to the landscape equipment. The landscape equipment list is preset by managers and comprises equipment identity marks corresponding to each landscape equipment. The landscape equipment may include landscape lights, fountains, and the like. Therefore, when the electricity consumption of residents is in a peak period, all landscape equipment is automatically closed, and the possibility of overlarge load of a power grid is reduced.

In another embodiment, in consideration of the situation that the peak period of power consumption may last for a plurality of time periods in hot weather in summer, after the platform detects that the ambient temperature value is greater than the high temperature value, the platform records the high temperature level as one level and records the time point when the ambient temperature value is greater than the high temperature value, and the higher the ambient temperature value is, the higher the corresponding level number of the high temperature level is. And adjusting the energy consumption models of all residents in the background, selecting the comparison consumption of electric energy in each time period after the time point of the week and the date corresponding to the current day, adding the selected comparison consumption according to different time periods to obtain the total electricity consumption of each time period, sequencing all the time periods by the platform according to the total electricity consumption from large to small, selecting the time period with the maximum total electricity consumption as an early warning time period, producing and storing a closing instruction corresponding to the early warning time period, and automatically sending a closing instruction to the landscape equipment when the early warning time period is reached.

And the platform continuously receives the environmental temperature information sent by the temperature detection terminal in real time and records the received time point. And if the environmental temperature value corresponding to the environmental temperature information is increased, sequentially increasing the recorded grade number of the high-temperature grade along with the increase of the environmental temperature value according to a preset high-temperature grading rule. The high temperature classification rule is summarized by the manager as a change in the amount of electricity used according to an increase in temperature. For example, the number of recorded high temperature levels is one, and when the ambient temperature reaches two levels of the high temperature levels, the number of recorded high temperature levels is changed to two levels. And sequentially increasing the number of the early warning time periods along with the increase of the high temperature grade, increasing the high temperature grade by one grade, increasing one early warning time period, and sequentially selecting the increased early warning time periods from the sequenced time periods. When monitoring that the early warning time period is increased, the platform judges whether the increased early warning time period is before the latest recorded time point, if so, the monitoring is continued; and otherwise, generating and storing a closing instruction corresponding to the newly increased early warning time period, and automatically sending the closing instruction to the landscape equipment in the preset landscape equipment list when the newly increased early warning time period is reached. And when the environment temperature corresponding to the environment temperature information does not rise, continuously monitoring the environment temperature. Therefore, the background can determine the number of time periods with larger electricity consumption of all residents according to the final high-temperature grade of the environment temperature, and the landscape equipment is closed at all early warning time, so that the intelligent management of energy consumption is realized.

In another embodiment, in consideration of the situation that the manager needs to settle the public electricity consumption generation cost at the end of a month, after logging in the management account, the manager can send a public electricity consumption query request to the platform through the management terminal, wherein the public electricity consumption query request comprises a start date and an end date. And the platform inquires the corresponding power consumption of the preset public equipment type between the start date and the end date in the power consumption record database. The public equipment types are preset by managers, and the managers can independently create the public equipment types and add corresponding public equipment terminals into the public equipment types. And the platform sends the power consumption corresponding to each inquired public equipment type to the management terminal.

When a manager needs to clear the public power consumption, after the type of the public equipment needing to be shared is selected, a shared power consumption clearing request is sent to the platform through the management terminal, and the shared power consumption clearing request comprises the selected type of the public equipment. The platform calculates the power consumption charge corresponding to each public equipment type in the shared charge clearing request from the starting date to the ending date according to a preset power consumption calculation rule, the total power consumption charge corresponding to all the public equipment types is obtained by adding the power consumption charges corresponding to each public equipment type, the preset power consumption calculation rule can be that the platform calculates the power consumption charge of each public equipment for 1 day according to the preset power price, and the power consumption charge of each public equipment from the starting date to the ending date can be obtained by adding the power consumption charges of all the days. And the platform inquires the living position identification with zero energy consumption of each energy source between the starting day and the ending day in a preset energy consumption record database, and counts the number of the living position identifications. And the consumption of each energy source between the starting day and the ending day is zero, which represents that the house corresponding to the living position mark is unoccupied in the period. And the platform subtracts the counted number of the residential position identifications from the number of the preset total residential position identifications to obtain the number of the residential users. The number of the preset total residential position identifiers is the number of the houses of all residential residents in the community. And the platform divides the calculated total power consumption by the number of the resident households to obtain the shared power consumption of each household, and sends the shared power consumption to the processing terminal. If the administrator wants to know that all residents pay the electricity consumption cost of the shared area through one-touch, the administrator can send a payment notification instruction to the background through the management terminal, and after receiving the payment notification instruction, the platform automatically becomes a payment notification reminder which comprises the reminding content and the electricity consumption cost of the shared area of each household. The platform sends the generated payment notice prompt to resident accounts corresponding to the rest residential position identifications except for the unoccupied house, and the residents can check the resident accounts when logging in the accounts.

According to the building energy consumption management method based on intelligent operation and maintenance, when the residents inquire the energy consumption, the platform can automatically generate the daily usage comparison map of each energy source corresponding to the residents, so that the residents can conveniently know the daily usage of each energy source and whether the daily usage of each energy source is excessive relative to the energy consumption reference line; aiming at residents with energy monitoring requirements, the platform can monitor each time period when the energy of the residents is accurate to every day, and when the possibility of excessive energy consumption or energy leakage is found, the residents can be informed in time, so that the residents can find abnormal conditions of energy consumption in time conveniently.

In one embodiment, as shown in fig. 2, there is provided a building energy consumption management system based on intelligent operation and maintenance, the system comprising: using the terminal 20 and the platform 21, the platform 21 is used to:

receiving an energy consumption query request sent by a resident account through a terminal 20, wherein the energy consumption query request comprises a residence position identifier and a starting time corresponding to the resident account;

inquiring the usage amount of each energy source corresponding to each day after the initial time in a preset energy consumption record database according to the residential position identification;

generating a graph of the daily usage of each energy source after the self-initiation time, respectively;

calculating the average daily consumption of each energy;

all the obtained daily consumption maps are sent to the user terminal 20.

In yet another embodiment, querying the energy consumption database for the consumption of each energy source per day corresponding to each residential location identification after the start time comprises:

inquiring a residential position identifier with corresponding population composition information identical to the population composition information corresponding to the energy consumption inquiry request in a preset residential data database;

and inquiring the consumption amount of each energy source every day corresponding to each residential position identification inquired after the initial time in the energy consumption database.

In yet another embodiment, the method further comprises:

receiving an energy consumption monitoring request sent by a resident account through a user terminal 20, wherein the energy consumption monitoring request comprises a residence position identifier corresponding to the resident account;

calling out the historical daily consumption of each energy source of the living position identification in a preset time range, wherein the duration of the preset time range is more than one week;

receiving the consumption of various energy sources sent by the data acquisition terminal 30 corresponding to the living position identification;

when detecting that the consumption of the energy on the same day exceeds the consumption difference of the contrast consumption corresponding to the energy in the week day corresponding to the same day, marking the energy as over-consumed energy;

and sending an energy over-consumption reminder to the user terminal 20, wherein the energy over-consumption reminder comprises over-consumption energy and consumption.

In still another embodiment, calculating the average of the consumption amounts of each energy source for each day of the week as the control consumption amount of each energy source for each day of the week includes:

when detecting that the consumption of the energy on the same day exceeds the consumption difference of the comparison consumption corresponding to the energy in the week day corresponding to the same day, marking the energy as over-consumed energy including;

if a time period exists in which the consumption of the corresponding energy exceeds the comparison consumption of the energy in the same time period on the week and the date corresponding to the day, and the consumption difference value of the consumption of the energy exceeding the comparison consumption is higher than a preset difference value threshold value, judging whether the comparison consumption is zero;

if yes, the energy mark corresponding to the consumption is compared with the leakage energy, and the leakage rate of the leakage energy is calculated;

sending an energy over-consumption reminder to the user terminal 20, where the energy over-consumption reminder includes over-consumption energy and consumption, and includes:

sending an energy leak alert to the user terminal 20, the energy leak alert including the leaked energy and the corresponding leak rate;

otherwise, the energy corresponding to the comparison consumption is marked as over-consumed energy, and an energy over-consumption reminder is sent to the user terminal 20, where the energy over-consumption reminder includes over-consumed energy and consumption.

In still another embodiment, after calculating the average of the consumption amount of each energy source in each time period for each day of the week as the control consumption amount of each energy source in each time period for each day of the week, further comprising:

generating a resident energy consumption model corresponding to the residential position identification, wherein the energy consumption model comprises the contrast consumption of each energy source in each time period of each week, each date and each day;

the method further comprises the following steps:

acquiring environmental temperature information sent by a temperature detection terminal 40;

if the environment temperature value corresponding to the environment temperature information exceeds a preset high-temperature value, recording the environment temperature value and the time point of obtaining the environment temperature information, and calling out all resident energy consumption models;

selecting the comparison consumption of the electric energy in each time period after the time point of the week and the date corresponding to the day from the adjusted resident energy consumption models;

selecting a time period with the maximum total power consumption;

and generating and storing a closing instruction corresponding to the selected time period, and automatically sending the closing instruction to the landscape equipment 41 in the preset landscape equipment 41 list when the selected time period is reached.

In yet another embodiment, recording the ambient temperature value and the point in time at which the ambient temperature information is obtained includes:

recording the time point when the high-temperature grade is one grade and the environmental temperature information is obtained, wherein the higher the environmental temperature value is, the higher the grade number of the corresponding high-temperature grade is;

sequencing the time slots according to the total power consumption from large to small;

after generating and storing the closing instruction corresponding to the selected time period, the method further comprises the following steps:

receiving the environmental temperature information sent by the temperature detection terminal 40 in real time and recording the time point when the environmental temperature information is received;

sequentially increasing the number of early warning time periods along with the sequential increase of the grade number of the high-temperature grade, wherein the increased early warning time periods are sequentially selected from the sequenced time periods according to the sequence;

if not, a closing instruction corresponding to the newly increased early warning time period is generated and stored, and when the newly increased early warning time period is reached, the closing instruction is automatically sent to the landscape equipment 41 in the preset landscape equipment 41 list.

In another embodiment, a public electricity consumption query request sent by the management account through the management terminal 50 is received, where the public electricity consumption query request includes a start date and an end date;

transmitting the power consumption amount corresponding to each inquired public device type to the management terminal 50;

receiving a request for clearing the shared power consumption fee sent by the management terminal 50, wherein the request for clearing the shared power consumption fee comprises the selected public equipment type;

inquiring living position marks with zero energy consumption between the starting day and the ending day in a preset energy consumption record database, and counting the number of the living position marks;

the calculated total power consumption rate is divided by the number of the residential households to obtain the shared power consumption rate of each household, and the shared power consumption rate is sent to the management terminal 50.

In one embodiment, a computer device is provided.

Specifically, the computer device comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes the building energy consumption management method based on intelligent operation and maintenance.

In one embodiment, a computer-readable storage medium is provided.

Specifically, the computer-readable storage medium stores a computer program capable of being loaded by a processor and executing the building energy consumption management method based on intelligent operation and maintenance, and the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.

Claims

1. A building energy consumption management method based on intelligent operation and maintenance is characterized by comprising the following steps:

calculating the average daily consumption of each energy;

2. The method of claim 1, wherein querying the energy consumption database for the consumption of each energy source per day for each residential location identifier after the start time comprises:

3. The method of claim 1, further comprising:

4. The method according to claim 3, wherein the calculating of the average of the consumption amounts of each energy source for each day of the week as the control consumption amount of each energy source for each day of the week comprises:

5. The method according to claim 4, wherein after said calculating the average of the consumption amount of each energy source in each time period for each day of the week as the control consumption amount of each energy source in each time period for each day of the week, further comprising:

the method further comprises the following steps:

selecting the time period with the maximum total power consumption;

6. The method of claim 5, wherein the recording of the ambient temperature value and the point in time at which the ambient temperature information is obtained comprises:

7. The method according to claim 1, characterized by receiving a public electricity consumption query request sent by a management account through a management terminal, wherein the public electricity consumption query request comprises a start date and an end date;

8. A building energy consumption management method system based on intelligent operation and maintenance is characterized by comprising the following steps: using a terminal (20) and a platform (21), the platform (21) being configured to:

receiving an energy consumption query request sent by a resident account through a use terminal (20), wherein the energy consumption query request comprises a residence position identifier and starting time corresponding to the resident account;

calculating the average daily consumption of each energy;

and sending all the obtained daily consumption comparison maps to the use terminal (20).

9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.