CN114429261B - Smart electric meter management method and device - Google Patents
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Abstract
The application relates to a smart electric meter management method and a device, and relates to the technical field of energy management and control, wherein the method comprises the following steps: acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information; in a preset recording time period, analyzing the electric quantity consumption information to obtain the corresponding electric quantity consumption change rate and corresponding time point of each building; and comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal. According to the application, the electricity consumption condition of the buildings of the building group is monitored, and the electricity consumption condition is analyzed by matching with the corresponding electricity consumption change rate, peak value, valley value and corresponding time, so that the electricity consumption abnormality can be handled in time at a later stage.
Description
Technical Field
The application relates to the technical field of energy management and control, in particular to a method and a device for managing an intelligent ammeter.
Background
The existing management means are mainly characterized in that a management and control strategy is automatically formulated by an electric power department according to the electricity load conditions of each building, and the management and control time is mainly that the electricity load is overloaded to cause power failure to be used in a limited mode in a stepwise mode so as to solve the problem of electric quantity shortage.
The existing control strategy is mainly subject to subjective judgment by an electric power department based on the power load, and no control data is used as a basis, so that subjectivity is strong, and errors are large.
Therefore, in order to accurately manage and control the electricity consumption of the building group, an intelligent ammeter management technology is provided so as to meet the current use requirement.
Disclosure of Invention
The application provides a smart meter management method and device, which are used for analyzing the electricity consumption situation by monitoring the electricity consumption situation of a building group and matching with the corresponding electricity consumption change rate, peak value, valley value and corresponding time so as to timely process the electricity consumption abnormality at the later stage.
In a first aspect, the present application provides a smart meter management method, the method including the steps of:
acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
And comparing the electricity consumption change rate with an electricity consumption change rate threshold, and judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal when the electricity consumption change rate is larger than the electricity consumption change rate threshold.
In actual operation, the technical scheme of the application has the following operation flow:
Firstly, acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
The specific statistical means can be based on the intelligent ammeter or an upper computer for managing the intelligent ammeter, records the electricity consumption condition of each building in the target building group in real time, and performs statistical arrangement corresponding to the recorded time information to finally obtain corresponding electricity consumption information.
Secondly, analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
firstly, setting a recording time period, and selecting electric quantity consumption information in the recording time period;
Obtaining the corresponding electricity consumption change rate and the corresponding time point of each building;
The method comprises the steps of displaying the electricity consumption change condition of a building, wherein the electricity consumption change rate is used for intuitively reflecting the electricity consumption change condition of the building, when the value of the electricity consumption change rate is positive and the value is larger, the electricity consumption corresponding to the building is increased suddenly, when the value of the electricity consumption change rate is positive and the value is smaller, the electricity consumption corresponding to the building is increased gradually, when the value of the electricity consumption change rate is negative and the value is larger, the electricity consumption corresponding to the building is reduced suddenly, and when the value of the electricity consumption change rate is negative and the value is smaller, the electricity consumption corresponding to the building is reduced gradually.
Thirdly, comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal;
in specific operation, the absolute value of the power consumption change rate is required to be processed, namely the absolute value of the power consumption change rate is taken, and then the absolute value of the power consumption change rate is compared with the power consumption change rate threshold value,
And when the absolute value of the electric quantity consumption change rate is larger than the electric quantity consumption change rate threshold value, judging that the electric quantity consumption of the building corresponding to the electric quantity consumption change rate with the absolute value larger than the electric quantity consumption change rate threshold value is abnormal.
Further, the method comprises the following steps:
According to the electricity consumption change rate and the corresponding time point, carrying out statistical analysis to obtain a corresponding electricity consumption rule of the building;
And carrying out electric quantity scheduling pre-warning according to the electric quantity consumption rule of each building in the target building group.
Further, the method comprises the following steps:
analyzing the electric quantity consumption information in a preset recording time period to obtain electric quantity consumption peaks and corresponding time periods corresponding to the buildings;
and comparing the electric quantity consumption peak value with an electric quantity consumption threshold value, and when the electric quantity consumption peak value is larger than the electric quantity consumption threshold value, judging that the building electric quantity consumption corresponding to the electric quantity consumption peak value larger than the electric quantity consumption threshold value is excessive.
Further, the method comprises the following steps:
Recording the continuous lifting time period of the electric quantity consumption change rate corresponding to each building, and judging the continuous lifting time period of the electric quantity consumption change rate as an energy consumption lifting time period;
and adjusting the electric quantity supply of the target building group based on the energy consumption lifting time period.
Further, the method comprises the following steps:
And in a preset recording time period, analyzing the electric quantity consumption information to obtain a corresponding electric quantity consumption fluctuation curve of the building.
Specifically, the electricity consumption threshold is adjusted according to the region and the season corresponding to the target building group.
In a second aspect, the present application provides a smart meter management apparatus, the apparatus comprising:
the electric quantity consumption monitoring module is used for acquiring record information of a plurality of intelligent electric meters of each building in the target building group in real time and acquiring corresponding electric quantity consumption information;
The electricity consumption analysis module is used for analyzing the electricity consumption information in a preset recording time period to obtain the corresponding electricity consumption change rate and the corresponding time point of each building;
And the consumption abnormality judging module is used for comparing the electricity consumption change rate with an electricity consumption change rate threshold, and judging that the electricity consumption of the building corresponding to the electricity consumption change rate which is larger than the electricity consumption change rate threshold is abnormal when the electricity consumption change rate is larger than the electricity consumption change rate threshold.
Further, the electricity consumption analysis module is further configured to analyze the electricity consumption information in a preset recording time period to obtain an electricity consumption peak value and a corresponding time period corresponding to each building;
The abnormal consumption judging module is further used for comparing the electricity consumption peak value with an electricity consumption threshold value, and judging that the electricity consumption of the building corresponding to the electricity consumption peak value which is larger than the electricity consumption threshold value exceeds the electricity consumption threshold value when the electricity consumption peak value is larger than the electricity consumption threshold value.
Further, the electricity consumption analysis module is further used for recording the time period of continuous lifting of the electricity consumption change rate corresponding to each building, and judging that the time period is the energy consumption lifting time period;
The device also comprises an electric quantity supply allocation module which is used for allocating the electric quantity supply of the target building group based on the energy consumption lifting time period.
Further, the electricity consumption analysis module is further configured to analyze the electricity consumption information in a preset recording time period, so as to obtain a corresponding electricity consumption fluctuation curve of the building.
Specifically, the electricity consumption threshold is adjusted according to the region and the season corresponding to the target building group.
The technical scheme provided by the application has the beneficial effects that:
According to the application, the electricity consumption condition of the buildings of the building group is monitored, and the electricity consumption condition is analyzed by matching with the corresponding electricity consumption change rate, peak value, valley value and corresponding time, so that the electricity consumption abnormality can be handled in time at a later stage.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of steps of a smart meter management method provided in an embodiment of the present application;
Fig. 2 is a block diagram of a smart meter management device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a method and a device for managing an intelligent electric meter, which are used for analyzing the electric consumption condition by monitoring the electric consumption condition of a building group and matching with corresponding electric consumption change rate, peak value, valley value and corresponding time so as to timely process electric consumption abnormality in the later period.
In order to achieve the technical effects, the general idea of the application is as follows:
a smart meter management method, the method comprising the steps of:
s1, acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
S2, analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
S3, comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
In a first aspect, referring to fig. 1, an embodiment of the present application provides a smart meter management method, including the following steps:
s1, acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
S2, analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
S3, comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal.
In the embodiment of the application, the electricity consumption condition of the buildings of the building group is monitored, and the electricity consumption condition is analyzed by matching with the corresponding electricity consumption change rate, peak value, valley value and corresponding time, so that the electricity consumption abnormality can be processed in time at a later stage.
In actual operation, the technical scheme of the application has the following operation flow:
Firstly, acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
The specific statistical means can be based on the intelligent ammeter or an upper computer for managing the intelligent ammeter, records the electricity consumption condition of each building in the target building group in real time, and performs statistical arrangement corresponding to the recorded time information to finally obtain corresponding electricity consumption information.
Secondly, analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
firstly, setting a recording time period, and selecting electric quantity consumption information in the recording time period;
Obtaining the corresponding electricity consumption change rate and the corresponding time point of each building;
The method comprises the steps of displaying the electricity consumption change condition of a building, wherein the electricity consumption change rate is used for intuitively reflecting the electricity consumption change condition of the building, when the value of the electricity consumption change rate is positive and the value is larger, the electricity consumption corresponding to the building is increased suddenly, when the value of the electricity consumption change rate is positive and the value is smaller, the electricity consumption corresponding to the building is increased gradually, when the value of the electricity consumption change rate is negative and the value is larger, the electricity consumption corresponding to the building is reduced suddenly, and when the value of the electricity consumption change rate is negative and the value is smaller, the electricity consumption corresponding to the building is reduced gradually.
Thirdly, comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal;
in specific operation, the absolute value of the power consumption change rate is required to be processed, namely the absolute value of the power consumption change rate is taken, and then the absolute value of the power consumption change rate is compared with the power consumption change rate threshold value,
And when the absolute value of the electric quantity consumption change rate is larger than the electric quantity consumption change rate threshold value, judging that the electric quantity consumption of the building corresponding to the electric quantity consumption change rate with the absolute value larger than the electric quantity consumption change rate threshold value is abnormal.
If necessary, in the embodiment of the application, when data transmission and data statistics are performed, periodic transmission or periodic statistics can be performed according to a preset working interval period, and data transmission and data statistics at night can be selected, so that the increase of working load to a network system in the daytime is avoided.
Further, the smart meter management method further comprises the following steps:
According to the electricity consumption change rate and the corresponding time point, carrying out statistical analysis to obtain a corresponding electricity consumption rule of the building;
And carrying out electric quantity scheduling pre-warning according to the electric quantity consumption rule of each building in the target building group.
Further, the intelligent ammeter management method further comprises the following steps of
Analyzing the electric quantity consumption information in a preset recording time period to obtain electric quantity consumption peaks and corresponding time periods corresponding to the buildings;
and comparing the electric quantity consumption peak value with an electric quantity consumption threshold value, and when the electric quantity consumption peak value is larger than the electric quantity consumption threshold value, judging that the building electric quantity consumption corresponding to the electric quantity consumption peak value larger than the electric quantity consumption threshold value is excessive.
Specifically, the electricity consumption threshold is adjusted according to the region and the season corresponding to the target building group.
Further, the smart meter management method further comprises the following steps:
Recording the continuous lifting time period of the electric quantity consumption change rate corresponding to each building, and judging the continuous lifting time period of the electric quantity consumption change rate as an energy consumption lifting time period;
and adjusting the electric quantity supply of the target building group based on the energy consumption lifting time period.
Further, the smart meter management method further comprises the following steps:
analyzing the electric quantity consumption information in a preset recording time period to obtain a corresponding electric quantity consumption fluctuation curve of the building;
in actual operation, the actual condition of the electricity consumption can be intuitively known according to the change condition of the electricity consumption fluctuation curve.
In actual operation, firstly, a recording time period, such as a year, month or quarter, is set, and the electricity consumption fluctuation condition of the building in the corresponding recording time period is reflected by adopting an electricity consumption fluctuation curve;
The electricity consumption conditions of the building can be compared, so that the use conditions of the building in different seasons can be known, a corresponding higher electricity consumption time period can be analyzed, and a data basis is provided for later energy distribution;
The electricity consumption condition of the building can be compared with the electricity consumption conditions of other buildings of the building group, the electricity consumption of one building is obtained through analysis in the corresponding electricity consumption time period, compared with other buildings, the electricity consumption of one building is overlarge, the electricity consumption of the building is judged to be abnormal, and the electricity consumption of the building is used as a basis for reasonable management of corresponding staff.
Specifically, the electricity consumption threshold is adjusted according to the region and the season corresponding to the target building group.
In a second aspect, referring to fig. 2, an embodiment of the present application provides a smart meter management device, including:
the electric quantity consumption monitoring module is used for acquiring record information of a plurality of intelligent electric meters of each building in the target building group in real time and acquiring corresponding electric quantity consumption information;
The electricity consumption analysis module is used for analyzing the electricity consumption information in a preset recording time period to obtain the corresponding electricity consumption change rate and the corresponding time point of each building;
And the consumption abnormality judging module is used for comparing the electricity consumption change rate with an electricity consumption change rate threshold, and judging that the electricity consumption of the building corresponding to the electricity consumption change rate which is larger than the electricity consumption change rate threshold is abnormal when the electricity consumption change rate is larger than the electricity consumption change rate threshold.
In the embodiment of the application, the electricity consumption condition of the buildings of the building group is monitored, and the electricity consumption condition is analyzed by matching with the corresponding electricity consumption change rate, peak value, valley value and corresponding time, so that the electricity consumption abnormality can be processed in time at a later stage.
In actual operation, the technical scheme of the application has the following operation flow:
Firstly, acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
The specific statistical means can be based on the intelligent ammeter or an upper computer for managing the intelligent ammeter, records the electricity consumption condition of each building in the target building group in real time, and performs statistical arrangement corresponding to the recorded time information to finally obtain corresponding electricity consumption information.
Secondly, analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
firstly, setting a recording time period, and selecting electric quantity consumption information in the recording time period;
Obtaining the corresponding electricity consumption change rate and the corresponding time point of each building;
The method comprises the steps of displaying the electricity consumption change condition of a building, wherein the electricity consumption change rate is used for intuitively reflecting the electricity consumption change condition of the building, when the value of the electricity consumption change rate is positive and the value is larger, the electricity consumption corresponding to the building is increased suddenly, when the value of the electricity consumption change rate is positive and the value is smaller, the electricity consumption corresponding to the building is increased gradually, when the value of the electricity consumption change rate is negative and the value is larger, the electricity consumption corresponding to the building is reduced suddenly, and when the value of the electricity consumption change rate is negative and the value is smaller, the electricity consumption corresponding to the building is reduced gradually.
Thirdly, comparing the electricity consumption change rate with an electricity consumption change rate threshold, and when the electricity consumption change rate is larger than the electricity consumption change rate threshold, judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal;
in specific operation, the absolute value of the power consumption change rate is required to be processed, namely the absolute value of the power consumption change rate is taken, and then the absolute value of the power consumption change rate is compared with the power consumption change rate threshold value,
And when the absolute value of the electric quantity consumption change rate is larger than the electric quantity consumption change rate threshold value, judging that the electric quantity consumption of the building corresponding to the electric quantity consumption change rate with the absolute value larger than the electric quantity consumption change rate threshold value is abnormal.
If necessary, in the embodiment of the application, when data transmission and data statistics are performed, periodic transmission or periodic statistics can be performed according to a preset working interval period, and data transmission and data statistics at night can be selected, so that the increase of working load to a network system in the daytime is avoided.
Further, the electricity consumption analysis module is further configured to perform statistical analysis according to the electricity consumption change rate and the corresponding time point, so as to obtain an electricity consumption rule of the corresponding building;
The electric quantity consumption analysis module is also used for carrying out electric quantity dispatching early warning according to the electric quantity consumption rule of each building in the target building group.
Further, the electricity consumption analysis module is further configured to analyze the electricity consumption information in a preset recording time period to obtain an electricity consumption peak value and a corresponding time period corresponding to each building;
The abnormal consumption judging module is further used for comparing the electricity consumption peak value with an electricity consumption threshold value, and judging that the electricity consumption of the building corresponding to the electricity consumption peak value which is larger than the electricity consumption threshold value exceeds the electricity consumption threshold value when the electricity consumption peak value is larger than the electricity consumption threshold value.
Further, the electricity consumption analysis module is further used for recording the time period of continuous lifting of the electricity consumption change rate corresponding to each building, and judging that the time period is the energy consumption lifting time period;
The device also comprises an electric quantity supply allocation module which is used for allocating the electric quantity supply of the target building group based on the energy consumption lifting time period.
Further, the electricity consumption analysis module is further configured to analyze the electricity consumption information in a preset recording time period, so as to obtain a corresponding electricity consumption fluctuation curve of the building.
In actual operation, firstly, a recording time period, such as a year, month or quarter, is set, and the electricity consumption fluctuation condition of the building in the corresponding recording time period is reflected by adopting an electricity consumption fluctuation curve;
The electricity consumption conditions of the building can be compared, so that the use conditions of the building in different seasons can be known, a corresponding higher electricity consumption time period can be analyzed, and a data basis is provided for later energy distribution;
The electricity consumption condition of the building can be compared with the electricity consumption conditions of other buildings of the building group, the electricity consumption of one building is obtained through analysis in the corresponding electricity consumption time period, compared with other buildings, the electricity consumption of one building is overlarge, the electricity consumption of the building is judged to be abnormal, and the electricity consumption of the building is used as a basis for reasonable management of corresponding staff.
Specifically, the electricity consumption threshold is adjusted according to the region and the season corresponding to the target building group.
It should be noted that, in the present application, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of embodiments of the present application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (3)
1. A smart meter management method, the method comprising the steps of:
Acquiring record information of a plurality of intelligent electric meters of each building in a target building group in real time, and acquiring corresponding electric quantity consumption information;
analyzing the electric quantity consumption information in a preset recording time period to obtain the corresponding electric quantity consumption change rate and the corresponding time point of each building;
comparing the electricity consumption change rate with an electricity consumption change rate threshold, and judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal when the electricity consumption change rate is larger than the electricity consumption change rate threshold;
the method further comprises the steps of:
according to the electricity consumption change rate and the corresponding time point, carrying out statistical analysis to obtain the electricity consumption rule of the corresponding building;
carrying out electric quantity scheduling early warning according to the electric quantity consumption rule of each building in the target building group;
the method further comprises the steps of:
analyzing the electric quantity consumption information in a preset recording time period to obtain electric quantity consumption peaks and corresponding time periods corresponding to the buildings;
comparing the electricity consumption peak value with an electricity consumption threshold value, and when the electricity consumption peak value is larger than the electricity consumption threshold value, judging that the electricity consumption of the building corresponding to the electricity consumption peak value larger than the electricity consumption threshold value exceeds the electricity consumption of the building;
the method further comprises the steps of:
recording the continuous lifting time period of the electric quantity consumption change rate corresponding to each building, and judging the continuous lifting time period of the electric quantity consumption change rate as an energy consumption lifting time period;
allocating the electric quantity supply of the target building group based on the energy consumption lifting time period;
The intelligent ammeter management method is based on an intelligent ammeter management device, and the device comprises the following steps:
the electric quantity consumption monitoring module is used for acquiring record information of a plurality of intelligent electric meters of each building in the target building group in real time and acquiring corresponding electric quantity consumption information;
The electricity consumption analysis module is used for analyzing the electricity consumption information in a preset recording time period to obtain the corresponding electricity consumption change rate and the corresponding time point of each building;
the consumption abnormality judging module is used for comparing the electricity consumption change rate with an electricity consumption change rate threshold, and judging that the electricity consumption of the building corresponding to the electricity consumption change rate larger than the electricity consumption change rate threshold is abnormal when the electricity consumption change rate is larger than the electricity consumption change rate threshold;
the electric quantity consumption analysis module is also used for carrying out statistical analysis according to the electric quantity consumption change rate and the corresponding time point to obtain the electric quantity consumption rule of the corresponding building;
the electric quantity consumption analysis module is also used for carrying out electric quantity scheduling early warning according to the electric quantity consumption rule of each building in the target building group;
The electricity consumption analysis module is also used for analyzing the electricity consumption information in a preset recording time period to obtain electricity consumption peaks and corresponding time periods corresponding to the buildings;
The consumption abnormality judging module is further used for comparing the electricity consumption peak value with an electricity consumption threshold value, and judging that the electricity consumption of the building corresponding to the electricity consumption peak value which is larger than the electricity consumption threshold value exceeds the electricity consumption threshold value when the electricity consumption peak value is larger than the electricity consumption threshold value;
The electric quantity consumption analysis module is also used for recording the continuous lifting time period of the electric quantity consumption change rate corresponding to each building and judging the continuous lifting time period of the electric quantity consumption change rate as the energy consumption lifting time period;
the device also comprises an electric quantity supply allocation module which is used for allocating the electric quantity supply of the target building group based on the energy consumption lifting time period.
2. The smart meter management method of claim 1, further comprising the steps of:
And in a preset recording time period, analyzing the electric quantity consumption information to obtain a corresponding electric quantity consumption fluctuation curve of the building.
3. The smart meter management method of claim 1, wherein:
and the electricity consumption threshold is adjusted according to the region and season corresponding to the target building group.
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| CN110189053A (en) * | 2019-06-07 | 2019-08-30 | 广州远正智能科技股份有限公司 | A kind of public building energy consumption management system for monitoring |
| CN112346418A (en) * | 2020-10-27 | 2021-02-09 | 中德（珠海）人工智能研究院有限公司 | Energy monitoring method and device for smart city and readable storage medium |
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