CN112992352A - Staff health early warning method, device and medium - Google Patents
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Abstract
The invention relates to the technical field of staff health early warning, and particularly provides a staff health early warning method, a device and a medium, aiming at solving the technical problem of how to perform health early warning on staff according to the physical state of the staff. For this purpose, according to the method of the embodiment of the present invention, the frequency of occurrence of physical actions related to fatigue of the employee can be obtained; when the frequency is greater than or equal to the preset frequency, carrying out fatigue analysis on the staff according to the working state data of the staff; and selectively outputting health early warning information according to the result of the fatigue analysis. Through the steps, health early warning can be carried out according to the physical state of the staff, and the staff and/or the manager can be reminded in time when the staff is in a fatigue state, so that the staff and/or the manager can take corresponding measures according to the health early warning information.
Description
Technical Field
The invention relates to the technical field of staff health early warning, in particular to a staff health early warning method, a staff health early warning device and a staff health early warning medium.
Background
The modern society has great competitive pressure, a plurality of employees often stay on duty overnight, and long-time work enables most of the employees to be in a sub-health state, even can cause sudden death of the employees, thereby bringing huge hidden dangers and property loss to the safety of people and the society. Therefore, for a company with heavy work task, how to perform health early warning according to the physical state of the staff becomes important.
Accordingly, there is a need in the art for a new employee health warning solution to address the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks, the present invention is proposed to provide a method, an apparatus and a medium for staff health warning, which solve or at least partially solve the technical problem of how to perform health warning on a staff according to the physical state of the staff.
In a first aspect, a method for staff health early warning is provided, where the method includes:
acquiring the frequency of physical actions related to fatigue of the staff;
when the frequency is greater than or equal to a preset frequency, carrying out fatigue analysis on the staff according to the working state data of the staff;
and selectively outputting health early warning information according to the result of the fatigue analysis.
In one technical scheme of the employee health early warning method, the step of performing fatigue analysis on the employee according to the working state data of the employee specifically includes:
calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee;
judging whether the fatigue degree score is greater than or equal to a preset score or not;
if yes, judging that the employee is in a fatigue state;
and/or the like and/or,
the step of acquiring the frequency of physical actions related to fatigue of the employee specifically comprises the following steps:
acquiring an image of the employee, and acquiring the frequency of body actions related to fatigue of the employee according to the image by adopting an image recognition algorithm;
and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee.
In a technical solution of the above method for early warning of health of an employee, the working state data includes a working duration and/or a rest duration and/or a fatigue number, the fatigue number is a number of times that the employee is determined to be in the fatigue state within a preset time limit, and the step of obtaining the fatigue score of the employee by a method of weighted calculation according to the working state data specifically includes:
calculating the fatigue score of the employee by a weighted calculation method according to the following formula:
P＝aTw-bTv+cF
wherein P represents a fatigue score for the employee; the T iswRepresenting the working time length; the T isvRepresenting the rest period; said F represents said number of fatigue; and a, b and c respectively represent preset weights.
In one technical solution of the above method for warning the health of the employee, after the step of "determining that the employee is in a fatigue state", the method further includes:
matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff;
outputting corresponding health early warning information according to the fatigue degree of the staff;
sending the health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located;
the health early warning information comprises vacation suggestion information, and the rest duration in the vacation suggestion information and the degree grade of the fatigue degree form a positive correlation.
In a second aspect, an employee health warning device is provided, the device comprising:
a frequency acquisition module configured to acquire a frequency at which the employee exhibits physical actions related to fatigue;
the fatigue analysis module is configured to perform fatigue analysis on the staff according to the working state data of the staff when the frequency is greater than or equal to a preset frequency;
a health alert module configured to selectively output health alert information according to a result of the fatigue analysis.
In an aspect of the above staff health early warning apparatus, the fatigue analysis module is further configured to perform the following operations:
calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee;
judging whether the fatigue degree score is greater than or equal to a preset score or not;
if yes, judging that the employee is in a fatigue state;
and/or the like and/or,
the frequency acquisition module is further configured to:
acquiring an image of the employee, and acquiring the frequency of body actions related to fatigue of the employee according to the image by adopting an image recognition algorithm;
and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee.
In an embodiment of the above staff health warning apparatus, the working state data includes a working time and/or a rest time and/or a fatigue number, where the fatigue number is the number of times that the staff is determined to be in the fatigue state within a preset time limit, and the fatigue analysis module is further configured to perform the following operations:
calculating the fatigue score of the employee by a weighted calculation method according to the following formula:
P＝aTw-bTv+cF
wherein P represents a fatigue score for the employee; the T iswRepresenting the working time length; the T isvRepresenting the rest period; said F represents said number of fatigue; and a, b and c respectively represent preset weights.
In an aspect of the above staff health warning apparatus, after the step of "determining that the staff is in a fatigue state", the health warning module is further configured to perform the following operations:
matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff;
outputting corresponding health early warning information according to the fatigue degree of the staff;
sending the health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located;
the health early warning information comprises vacation suggestion information, and the rest duration in the vacation suggestion information and the degree grade of the fatigue degree form a positive correlation.
In a third aspect, an employee health early warning apparatus is provided, which includes a processor and a storage device, where the storage device is adapted to store a plurality of program codes, and the program codes are adapted to be loaded and run by the processor to execute the employee health early warning method according to any one of the above technical solutions.
In a fourth aspect, a computer-readable storage medium is provided, where multiple pieces of program codes are stored in the computer-readable storage medium, and the program codes are adapted to be loaded and executed by a processor to perform the employee health warning method according to any one of the above technical solutions.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
in the technical scheme of the invention, the frequency of body actions related to fatigue of the staff can be obtained; when the frequency is more than or equal to the preset frequency, the fact that the employee is possibly in a fatigue state is indicated, and at the moment, fatigue analysis can be conducted on the employee according to the working state data of the employee so as to judge whether the employee is in the fatigue state or not; and selectively outputting health early warning information according to the result of fatigue analysis, if the analysis result is that the employee is in a fatigue state, outputting the health early warning information, and otherwise, not outputting the health early warning information. The staff can be tired due to long-time work, and the working state and even the health of the staff can be influenced if the staff is in the fatigue state for a long time, so that in the technical scheme of the invention, whether the fatigue analysis needs to be carried out on the staff can be determined by judging whether the frequency of the physical actions related to the fatigue of the staff is greater than or equal to the preset frequency, if the frequency of the physical actions related to the fatigue of the staff is less than the preset frequency, the staff can be in a poor body state in a short time, and the influence on the working state and the health of the staff is not great, so that the fatigue analysis does not need to be carried out on the staff; if the frequency of the physical action related to fatigue of the employee is greater than or equal to the preset frequency, the employee may be in a fatigue state for a long time, the influence on the working state and the physical health of the employee is large, the employee needs to be subjected to fatigue analysis, and health early warning information is selectively output according to the result of the fatigue analysis, so that health early warning is performed according to the physical state of the employee, the employee and/or a manager is timely reminded when the employee is in the fatigue state, the employee and/or the manager can conveniently take corresponding measures according to the health early warning information, and the working state and even the physical health are prevented from being influenced due to the fact that the employee is in the fatigue state.
Further, the working state data (such as working time, rest time, fatigue frequency and the like) of the staff are important indexes for judging whether the staff are in the fatigue state, so that the working state data can be calculated by adopting a weighted calculation method to obtain the fatigue value of the staff, if the fatigue value is greater than or equal to a preset value, the staff are in the fatigue state, and through the arrangement, whether the staff are in the fatigue state is judged according to the multidimensional data by adopting the weighted calculation method, so that the judgment accuracy is improved.
Further, after the fact that the employee is in the fatigue state is determined, the fatigue degree of the employee can be matched according to the fatigue degree value of the employee based on the corresponding relation between the preset fatigue degree value and the fatigue degree, then corresponding health early warning information is output according to the fatigue degree of the employee, different health early warning information is output according to different fatigue degrees through the setting, so that the employee and/or a manager can take corresponding measures according to the health early warning information, and the state of the employee can be adjusted more reasonably.
Drawings
Embodiments of the invention are described below with reference to the accompanying drawings, in which:
FIG. 1 is a schematic flow chart illustrating the main steps of an employee health warning method according to an embodiment of the present invention;
fig. 2 is a main structural block diagram of an employee health warning device according to an embodiment of the present invention.
List of reference numerals:
11: a frequency acquisition module; 12: a fatigue analysis module; 13: and a health early warning module.
Detailed Description
Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, a "module" or "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, may comprise software components such as program code, or may be a combination of software and hardware. The processor may be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and/or signal processing functionality. The processor may be implemented in software, hardware, or a combination thereof. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random-access memory, and the like. The term "a and/or B" denotes all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" means similar to "A and/or B" and may include only A, only B, or both A and B. The singular forms "a", "an" and "the" may include the plural forms as well.
The modern society has great competitive pressure, a plurality of employees often stay on duty overnight, and long-time work enables most of the employees to be in a sub-health state, even can cause sudden death of the employees, thereby bringing huge hidden dangers and property loss to the safety of people and the society. Therefore, for a company with heavy work task, how to perform health early warning according to the physical state of the staff becomes important. However, at present, there is no good method for performing health warning according to the physical state of the staff.
In the embodiment of the invention, the frequency of body actions related to fatigue of the staff can be obtained; when the frequency is more than or equal to the preset frequency, the fact that the employee is possibly in a fatigue state is indicated, and at the moment, fatigue analysis can be conducted on the employee according to the working state data of the employee so as to judge whether the employee is in the fatigue state or not; and selectively outputting health early warning information according to the result of fatigue analysis, if the analysis result is that the employee is in a fatigue state, outputting the health early warning information, and otherwise, not outputting the health early warning information. The staff can be tired due to long-time work, and the working state and even the health of the staff can be influenced if the staff is in the fatigue state for a long time, so that in the technical scheme of the invention, whether the fatigue analysis needs to be carried out on the staff can be determined by judging whether the frequency of the physical actions related to the fatigue of the staff is greater than or equal to the preset frequency, if the frequency of the physical actions related to the fatigue of the staff is less than the preset frequency, the staff can be in a poor body state in a short time, and the influence on the working state and the health of the staff is not great, so that the fatigue analysis does not need to be carried out on the staff; if the frequency of the physical action related to fatigue of the employee is greater than or equal to the preset frequency, the employee may be in a fatigue state for a long time, the influence on the working state and the physical health of the employee is large, the employee needs to be subjected to fatigue analysis, and health early warning information is selectively output according to the result of the fatigue analysis, so that health early warning is performed according to the physical state of the employee, the employee and/or a manager is timely reminded when the employee is in the fatigue state, the employee and/or the manager can conveniently take corresponding measures according to the health early warning information, and the working state and even the physical health are prevented from being influenced due to the fact that the employee is in the fatigue state.
In an application scenario of the invention, a certain company regularly acquires the frequency of yawning of employees; when the frequency of yawning of a certain employee is detected to be greater than or equal to the preset frequency, fatigue analysis is carried out on the employee according to the working state data of the employee: calculating the working state data of the employee by adopting a weighted calculation method to obtain the fatigue degree score of the employee, and judging that the employee is in a fatigue state if the fatigue degree score of the employee is greater than or equal to a preset score; and then based on the preset corresponding relation between the fatigue degree score and the fatigue degree, matching the fatigue degree of the employee according to the fatigue degree score of the employee, if the fatigue degree of the employee is severe fatigue, outputting health early warning information suggesting two days of vacation, and sending the health early warning information to a mobile phone of the employee and an enterprise management terminal of the enterprise, so that the employee and a manager can take corresponding measures in time.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating main steps of an employee health warning method according to an embodiment of the present invention. As shown in fig. 1, the employee health early warning method in the embodiment of the present invention mainly includes the following steps:
step S101: the frequency of physical actions related to fatigue of the staff is obtained.
In the present embodiment, physical actions related to fatigue include, but are not limited to: the body movements of yawning, kneading eyes, stretching the body, etc. The frequency with which the employee develops physical actions related to fatigue may be acquired periodically, for example, twice daily, once in the morning, once in the afternoon.
In one embodiment, the step of obtaining the frequency of physical actions related to fatigue of the employee (step S101 above) may include: acquiring images of the staff, and acquiring the times of body actions related to fatigue of the staff according to the images by adopting an image recognition algorithm; and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee. In the embodiment, an image recognition algorithm can be adopted, the frequency of the body action related to fatigue of the staff is obtained according to the image of the staff, and the frequency is calculated according to the frequency, so that the accuracy of the frequency of the body action related to fatigue is improved.
In this embodiment, an image recognition algorithm may be used, and the frequency may be calculated based on the number of times that the body motion related to fatigue occurs within a certain time period of the image acquisition staff, for example, the frequency may be calculated based on the number of times that the body motion related to fatigue occurs within half an hour of the image acquisition staff, the number of times that the body motion related to fatigue occurs within half an hour of the staff may be acquired at a fixed time (for example, 10:00-10:30 a.m. every day, 15:30-16:00 a.m.), or the number of times that the body motion related to fatigue occurs within half an hour of the staff may be randomly acquired.
Step S102: and when the frequency is greater than or equal to the preset frequency, carrying out fatigue analysis on the staff according to the working state data of the staff.
In the present embodiment, the working state data of the employee refers to data related to the working state of the employee, including, but not limited to, a working time (including an overtime time), a rest time (a time other than the working time), a fatigue number (a number of times that the employee is determined to be in the fatigue state within a certain period), and the like. The preset frequency can be flexibly set by those skilled in the art according to practical application, for example, the preset frequency can be 5 times/hour, 10 times/hour, or other frequencies.
In one embodiment, the step of "performing fatigue analysis on the employee according to the working status data of the employee" in the step S102 may include: calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee; judging whether the fatigue degree score is greater than or equal to a preset score or not; and if so, judging that the employee is in a fatigue state. In the embodiment, whether the staff is in the fatigue state is judged by adopting a weighting calculation method according to the working state data of the staff, so that the judgment accuracy is improved.
In this embodiment, the preset score can be flexibly set by those skilled in the art according to practical situations, for example, the preset score can be 60, or can be 70, or other numerical values.
In one embodiment, the working state data includes a working time length and/or a rest time length and/or a fatigue number, the fatigue number is a number of times that the employee is determined to be in a fatigue state within a preset time limit, and the step of obtaining the fatigue score of the employee by a weighted calculation method according to the working state data specifically includes:
calculating the fatigue degree score of the employee by using the weighted calculation method described in formula (1):
P＝aTw-bTv+cF
wherein P represents the fatigue score of the employee; t iswRepresenting the working time length; t isvRepresents the rest period; f represents the number of fatigue; a. b and c respectively represent preset weights.
In the embodiment, the fatigue degree score of the staff is obtained according to the multi-dimensional data (the data of various working states) by adopting a weighted calculation method, so that the accuracy and the reasonability of the fatigue degree score of the staff are improved, and the accuracy of fatigue state judgment is further improved.
In this embodiment, a person skilled in the art can flexibly set the preset time limit according to actual conditions, for example, the preset time limit may be half a month, or one month, or other time limits. In addition, a person skilled in the art may set the preset weights by performing a plurality of simulation experiments.
Step S103: and selectively outputting health early warning information according to the result of the fatigue analysis.
In one embodiment, after the step of "determining that the employee is in a fatigue state", the employee health early warning method of the present invention further includes: matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff; and outputting corresponding health early warning information according to the fatigue degree of the staff. In the embodiment, different health early warning information is output according to different fatigue degrees, so that staff and/or managers can take corresponding measures according to the health early warning information, and the states of the staff can be adjusted more reasonably.
In this embodiment, a person skilled in the art can flexibly set the preset corresponding relationship between the fatigue degree score and the fatigue degree according to the actual situation, for example, the fatigue degree score is 70-80 for light fatigue, 81-90 for medium fatigue, and 91-100 for heavy fatigue, but of course, other corresponding relationships are also possible.
In one embodiment, the health early warning information includes vacation advice information, wherein the rest duration in the vacation advice information is in positive correlation with the level of the fatigue degree. In the present embodiment, the positive correlation between the rest period and the degree level of the degree of fatigue means that the higher the degree level of the degree of fatigue, the longer the rest period. Through such setting, staff's state is adjusted more rationally.
In this embodiment, a person skilled in the art can flexibly set the rest duration corresponding to different fatigue degrees according to actual conditions, for example, when the fatigue degree is light fatigue, the rest duration may be 0, when the fatigue degree is medium fatigue, the rest duration may be one day, when the fatigue degree is heavy fatigue, the rest duration may be two days, and of course, other corresponding relationships are also possible. In one possible embodiment, when the fatigue degree of the employee is light fatigue, the health warning information may be "you are currently in light fatigue state, please notice relief"; when the fatigue degree of the staff is moderate fatigue, the health early warning information can be 'you are currently in moderate fatigue state, and a day of vacation is recommended'; when the fatigue degree of the employee is severe fatigue, the health early warning information may be "you are currently in a severe fatigue state, and it is recommended to leave for two days", and of course, the health early warning information may also be in other expression modes.
In one embodiment, after the step of outputting the corresponding health warning information according to the fatigue degree of the employee, the employee health warning method of the present invention further includes: and sending health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located. In the embodiment, the health early warning information is sent to the terminal equipment of the staff and/or the enterprise management terminal of the enterprise where the staff is located, so that the staff and the management staff can take corresponding measures in time, and the situation that the working state and even the body health are influenced because the staff is in a fatigue state is avoided.
In the embodiment of the invention, the frequency of body actions related to fatigue of the staff can be obtained; when the frequency is more than or equal to the preset frequency, the fact that the employee is possibly in a fatigue state is indicated, and at the moment, fatigue analysis can be conducted on the employee according to the working state data of the employee so as to judge whether the employee is in the fatigue state or not; and selectively outputting health early warning information according to the result of fatigue analysis, if the analysis result is that the employee is in a fatigue state, outputting the health early warning information, and otherwise, not outputting the health early warning information. The staff can be tired due to long-time work, and the working state and even the health of the staff can be influenced if the staff is in the fatigue state for a long time, so that in the technical scheme of the invention, whether the fatigue analysis needs to be carried out on the staff can be determined by judging whether the frequency of the physical actions related to the fatigue of the staff is greater than or equal to the preset frequency, if the frequency of the physical actions related to the fatigue of the staff is less than the preset frequency, the staff can be in a poor body state in a short time, and the influence on the working state and the health of the staff is not great, so that the fatigue analysis does not need to be carried out on the staff; if the frequency of the physical action related to fatigue of the employee is greater than or equal to the preset frequency, the employee may be in a fatigue state for a long time, the influence on the working state and the physical health of the employee is large, the employee needs to be subjected to fatigue analysis, and health early warning information is selectively output according to the result of the fatigue analysis, so that health early warning is performed according to the physical state of the employee, the employee and/or a manager is timely reminded when the employee is in the fatigue state, the employee and/or the manager can conveniently take corresponding measures according to the health early warning information, and the working state and even the physical health are prevented from being influenced due to the fact that the employee is in the fatigue state.
It should be noted that, although the foregoing embodiments describe each step in a specific sequence, those skilled in the art will understand that, in order to achieve the effect of the present invention, different steps do not necessarily need to be executed in such a sequence, and they may be executed simultaneously (in parallel) or in other sequences, and these changes are all within the protection scope of the present invention.
Further, the invention also provides a staff health early warning device.
Referring to fig. 2, fig. 2 is a main structural block diagram of an employee health warning device according to an embodiment of the present invention. As shown in fig. 2, the employee health early warning apparatus in the embodiment of the present invention mainly includes a frequency obtaining module 11, a fatigue analysis module 12, and a health early warning module 13. In some embodiments, one or more of frequency acquisition module 11, fatigue analysis module 12, and health warning module 13 may be combined together into one module. In some embodiments, the frequency acquisition module 11 may be configured to acquire the frequency of occurrence of physical actions related to fatigue of the employee. The fatigue analysis module 12 may be configured to perform fatigue analysis on the employee according to the employee's working status data when the frequency is greater than or equal to the preset frequency. Health alert module 13 may be configured to selectively output health alert information based on the results of the fatigue analysis. In one embodiment, the description of the specific implementation function may refer to steps S101 to S103.
In one embodiment, the frequency acquisition module 11 may be further configured to perform the following operations: acquiring images of the staff, and acquiring the times of body actions related to fatigue of the staff according to the images by adopting an image recognition algorithm; and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee. In one embodiment, the description of the specific implementation function may be referred to in step S101.
In one embodiment, fatigue analysis module 12 may be further configured to perform the following operations: calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee; judging whether the fatigue degree score is greater than or equal to a preset score or not; and if so, judging that the employee is in a fatigue state. In one embodiment, the description of the specific implementation function may be referred to in step S102.
In one embodiment, the working state data includes a working time period and/or a rest time period and/or a fatigue number, the fatigue number is the number of times the employee is determined to be in a fatigue state within a preset time limit, and the fatigue analysis module 12 may be further configured to perform the following operations: and (3) calculating the fatigue degree score of the employee by using the weighted calculation method described in the formula (1). In one embodiment, the description of the specific implementation function may be referred to in step S102.
In one embodiment, after the step of "determining that the employee is in a tired state", the health warning module 13 may be further configured to perform the following operations: matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff; and outputting corresponding health early warning information according to the fatigue degree of the staff. In one embodiment, the description of the specific implementation function may refer to that in step S103.
In one embodiment, the health early warning information includes vacation advice information, wherein the length of vacation time in the vacation advice information is in positive correlation with the level of fatigue. In one embodiment, the description of the specific implementation function may refer to that in step S103.
In one embodiment, after the step of outputting the corresponding health-warning information according to the fatigue degree of the employee, the health-warning module 13 may be further configured to perform the following operations: and sending health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located. In one embodiment, the description of the specific implementation function may refer to that in step S103.
The above-mentioned staff health early warning device is used for executing the embodiment of the staff health early warning method shown in fig. 1, and the technical principles, the solved technical problems and the generated technical effects of the two are similar, and it can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working process and the related description of the staff health early warning device may refer to the content described in the embodiment of the staff health early warning method, and are not repeated here.
It will be understood by those skilled in the art that all or part of the flow of the method according to the above-described embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used to implement the steps of the above-described embodiments of the method when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Further, the invention also provides a staff health early warning device. In an embodiment of the employee health warning apparatus according to the present invention, the employee health warning apparatus includes a processor and a storage device, the storage device may be configured to store a program for executing the employee health warning method of the above method embodiment, and the processor may be configured to execute the program in the storage device, the program including but not limited to the program for executing the employee health warning method of the above method embodiment. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The staff health early warning device can be a control device formed by various electronic devices.
Further, the invention also provides a computer readable storage medium. In one computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium may be configured to store a program for executing the employee health early warning method of the above method embodiment, and the program may be loaded and executed by a processor to implement the above employee health early warning method. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The computer readable storage medium may be a storage device formed by including various electronic devices, and optionally, the storage in the embodiment of the present invention is a non-transitory computer readable storage medium.
Further, it should be understood that, since the configuration of each module is only for explaining the functional units of the apparatus of the present invention, the corresponding physical devices of the modules may be the processor itself, or a part of software, a part of hardware, or a part of a combination of software and hardware in the processor. Thus, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solutions to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.
So far, the technical solution of the present invention has been described with reference to one embodiment shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. An employee health early warning method, characterized in that the method comprises:
acquiring the frequency of physical actions related to fatigue of the staff;
when the frequency is greater than or equal to a preset frequency, carrying out fatigue analysis on the staff according to the working state data of the staff;
and selectively outputting health early warning information according to the result of the fatigue analysis.
2. The employee health early warning method according to claim 1, wherein the step of performing fatigue analysis on the employee according to the employee work state data specifically comprises:
calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee;
judging whether the fatigue degree score is greater than or equal to a preset score or not;
if yes, judging that the employee is in a fatigue state;
and/or the like and/or,
the step of acquiring the frequency of physical actions related to fatigue of the employee specifically comprises the following steps:
acquiring an image of the employee, and acquiring the frequency of body actions related to fatigue of the employee according to the image by adopting an image recognition algorithm;
and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee.
3. The employee health early warning method according to claim 2, wherein the working state data includes a working time and/or a rest time and/or a fatigue number, the fatigue number is the number of times that the employee is determined to be in the fatigue state within a preset time limit, and the step of obtaining the fatigue score of the employee by a weighted calculation according to the working state data specifically includes:
calculating the fatigue score of the employee by a weighted calculation method according to the following formula:
P＝aTw-bTu+cF
wherein P represents a fatigue score for the employee; the T iswRepresenting the working time length; the T isvRepresenting the rest period; said F represents said number of fatigue; and a, b and c respectively represent preset weights.
4. The employee health warning method according to claim 2, wherein after the step of "determining that the employee is in a tired state", the method further comprises:
matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff;
outputting corresponding health early warning information according to the fatigue degree of the staff;
sending the health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located;
the health early warning information comprises vacation suggestion information, and the rest duration in the vacation suggestion information and the degree grade of the fatigue degree form a positive correlation.
5. An employee health warning device, the device comprising:
a frequency acquisition module configured to acquire a frequency at which the employee exhibits physical actions related to fatigue;
the fatigue analysis module is configured to perform fatigue analysis on the staff according to the working state data of the staff when the frequency is greater than or equal to a preset frequency;
a health alert module configured to selectively output health alert information according to a result of the fatigue analysis.
6. The employee health warning device according to claim 5, wherein the fatigue analysis module is further configured to perform the following operations:
calculating the working state data by adopting a weighted calculation method to obtain the fatigue degree score of the employee;
judging whether the fatigue degree score is greater than or equal to a preset score or not;
if yes, judging that the employee is in a fatigue state;
and/or the like and/or,
the frequency acquisition module is further configured to:
acquiring an image of the employee, and acquiring the frequency of body actions related to fatigue of the employee according to the image by adopting an image recognition algorithm;
and calculating the frequency of the physical actions related to fatigue of the employee according to the times of the physical actions related to fatigue of the employee.
7. The employee health warning device according to claim 6, wherein the working state data comprises a working time length and/or a rest time length and/or a fatigue number, the fatigue number being the number of times the employee is determined to be in the fatigue state within a preset time limit, the fatigue analysis module being further configured to:
calculating the fatigue score of the employee by a weighted calculation method according to the following formula:
P＝aTw-bTu+CF
wherein P represents a fatigue score for the employee; the T iswRepresenting the working time length; the T isvRepresenting the rest period; said F represents said number of fatigue; and a, b and c respectively represent preset weights.
8. The employee health alert device according to claim 6, wherein after the step of "determining that the employee is in a tired state", the health alert module is further configured to perform the following operations:
matching the fatigue degree of the staff according to the preset corresponding relation between the fatigue degree score and the fatigue degree of the staff;
outputting corresponding health early warning information according to the fatigue degree of the staff;
sending the health early warning information to terminal equipment of the staff and/or an enterprise management terminal of an enterprise where the staff is located;
the health early warning information comprises vacation suggestion information, and the rest duration in the vacation suggestion information and the degree grade of the fatigue degree form a positive correlation.
9. An employee health warning device comprising a processor and a storage device, said storage device being adapted to store a plurality of program codes, characterized in that said program codes are adapted to be loaded and run by the processor to perform the employee health warning method according to any one of claims 1 to 4.
10. A computer readable storage medium having a plurality of program codes stored therein, wherein the program codes are adapted to be loaded and executed by a processor to perform the employee health alert method of any one of claims 1 to 4.
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Application publication date: 20210618 |