CN111401851A - Attendance system convenient to business administration - Google Patents
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- CN111401851A CN111401851A CN202010199067.8A CN202010199067A CN111401851A CN 111401851 A CN111401851 A CN 111401851A CN 202010199067 A CN202010199067 A CN 202010199067A CN 111401851 A CN111401851 A CN 111401851A
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Abstract
The invention discloses an attendance system convenient for enterprise management, wherein a data acquisition module is used for acquiring the sitting time, the leaving time and the sitting time interval of a staff to be detected and the weight data of the staff to be detected, and the data acquisition module is used for transmitting the acquired sitting time, the leaving time and the sitting time interval as well as the weight data of the staff to be detected to a server and storing the acquired sitting time, the leaving time and the sitting time interval as well as the weight data of the staff to be detected in a; the data processing module comprises a time processing unit and a weight processing unit, the time processing unit is used for receiving the sitting time, the leaving time and the sitting time interval of the staff to be tested, carrying out statistical analysis and outputting attendance analysis results, and the weight processing unit is used for receiving the weight data of the staff to be tested, carrying out analysis and outputting weight data judgment results of the staff to be tested; the invention can effectively improve the attendance statistical efficiency, can count the condition that the staff leaves the station during working, and can prompt the attendance abnormity in time.
Description
Technical Field
The invention relates to the technical field of enterprise management, in particular to an attendance system convenient for enterprise management.
Background
The attendance checking is to maintain the normal work order of an enterprise, improve the work efficiency, seriously improve the enterprise discipline and enable the staff to voluntarily follow the working time and the labor discipline. The former definition is that the attendance can be positioned strictly and clearly, so that the attendance can become a strict regulation, and a system is used for measuring the standard of the attendance, otherwise, the attendance is not exactly what the earlier attendance is, the early attendance is usually signed by a pen on a record book, because the replacement phenomenon appears occasionally, the attendance is usually made by biological identification and door access card swiping, some companies have independent ERP office systems of companies and also have attendance management systems, and the system is more convenient and stricter than a fingerprint attendance machine.
The existing attendance checking scheme for enterprise management has certain defects: the card reading and fingerprint identification mode has the problems of replacing card punching or is not applicable to special condition periods (such as epidemic periods), and is influenced by power or a network to cause instability; the working condition of the staff during the working period cannot be obtained, such as the number of times the staff leaves the work station and the leaving time cannot be obtained.
Disclosure of Invention
The invention aims to provide an attendance system convenient for enterprise management; the method comprises the steps that the data acquisition module acquires the sitting time, the leaving time and the sitting time interval of a staff to be tested and the weight data of the staff to be tested, and sends the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested to a server; the method comprises the steps that the server sends the sitting time, the leaving time interval and the sitting time interval of a staff to be tested and the weight data of the staff to be tested to a data processing module, the data processing module is used for analyzing according to the weight data of the staff to be tested to obtain a weight data judgment result, whether the staff to be tested is a user of a station or not can be determined through analyzing the weight data of the staff to be tested, and the situation that other people help to replace the station to be used is avoided; the data processing module is used for analyzing the attendance of the staff to be detected according to the sitting time, the leaving time and the sitting time interval of the staff to be detected to obtain an attendance analysis result, and the sitting time, the leaving time and the sitting time interval of the staff to be detected are respectively analyzed to determine the working time and the working time of the staff and the frequency and duration of leaving the station in the working period, so that the purpose of recording and counting the attendance of the staff during working is achieved; sending the weight data judgment result and the attendance analysis result of the staff to be tested to a data statistics module and a server; counting the weight data judgment result and the attendance analysis result of the staff to be detected by using the data counting module, and sending abnormal results in the attendance analysis result of the staff to be detected to the data prompting module; the abnormal result in the attendance analysis result of the staff to be tested is sent to the staff and the administrator by the data prompt module, so that the administrator can conveniently count the attendance abnormality of the staff and the staff can timely adjust the attendance of the staff, the problem that the work period of the staff cannot be counted in the existing scheme is solved, the purpose of judging whether the staff is on a station can be achieved, and the staff attendance counting efficiency is improved.
The technical problem to be solved by the invention is as follows:
(1) how to judge whether the staff to be detected uses the station by the user, acquiring the weight data of the staff to be detected through the supporting seat and the acquisition block, and calculating the difference value between the weight data of the staff to be detected and preset weight initial data to obtain a weight data judgment result of the staff to be detected, wherein the preset weight initial data is the previous day weight data of the staff at the station; if the difference value belongs to the preset difference value range, judging the identity of the staff to be tested to be normal; if the difference does not belong to the preset difference range, the identity of the staff to be tested is judged to be abnormal, namely the staff to be tested is not the user station, and the problem that whether the staff to be tested uses the station by the user cannot be judged in the existing scheme is solved.
(2) Judging whether the employee to be detected has late attendance and early attendance problems, and comparing the initial sitting time of the employee to be detected with the preset attendance checking time to obtain an attendance checking result; if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, judging that the attendance of the employee to be tested is normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late; comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; if the last leaving time is after the preset off-duty card punching time or is the same as the preset off-duty card punching time, judging that the off-duty attendance of the staff to be tested is normal; if the last leaving time is before the preset on-duty card punching time, the off-duty attendance of the staff to be detected is judged to be early quit, and the problem that whether the staff has late attendance and early quit cannot be quickly and accurately judged in the existing scheme is solved.
(3) How to judge whether the employee to be tested has an attendance problem during the working period, calculating the leaving time and the sitting time interval of the employee to be tested to obtain a plurality of interval durations, and comparing the interval durations with the preset standard interval duration to obtain a working attendance result; if at least one of the interval durations is larger than a preset standard interval duration, judging the work attendance of the staff to be tested as abnormal; if the time length of the intervals is not greater than the preset standard time length, the work attendance of the staff to be detected is judged to be normal, the problem that the working condition of the staff during the station cannot be obtained in the existing scheme is effectively solved, and the range and the efficiency of the staff attendance are improved.
The purpose of the invention can be realized by the following technical scheme: an attendance system convenient for enterprise management comprises a data acquisition module, a server, a database, a data processing module, a data statistics module and a data prompt module; the working steps of the system comprise:
the method comprises the following steps: acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through a data acquisition module, and sending the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested to a server;
step two: the method comprises the steps that the sitting time, the leaving time interval and the sitting time interval of a staff to be tested and weight data of the staff to be tested are sent to a data processing module through a server, and the data processing module is used for analyzing according to the weight data of the staff to be tested to obtain a weight data judgment result; analyzing attendance of the staff to be detected by using a data processing module according to the sitting time, the leaving time and the sitting time interval of the staff to be detected to obtain an attendance analysis result;
step three: sending the weight data judgment result and the attendance analysis result of the staff to be tested to a data statistics module and a server;
step four: counting the weight data judgment result and the attendance analysis result of the staff to be detected by using the data counting module, and sending abnormal results in the attendance analysis result of the staff to be detected to the data prompting module;
step five: sending abnormal results in attendance analysis results of the staff to be tested to the staff and the administrator by using the data prompt module;
the data acquisition module is used for acquiring the sitting time, the leaving time and the sitting time interval of the staff to be detected and the weight data of the staff to be detected, and the data acquisition module is used for sending the acquired sitting time, the leaving time and the sitting time interval as well as the weight data of the staff to be detected to the server and storing the data in the database;
the data processing module comprises a time processing unit and a weight processing unit, the time processing unit is used for receiving the sitting time, the leaving time and the sitting time interval of the staff to be tested, carrying out statistical analysis and outputting attendance analysis results, and the weight processing unit is used for receiving the weight data of the staff to be tested, carrying out analysis and outputting weight data judgment results of the staff to be tested.
Further, the data processing module includes:
s21, acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through the supporting seat and the acquisition block, and marking the sitting time of the staff to be tested as TiI is 1, …, n; mark the departure time as TjJ is 1, …, n; mark the departure time and sitting time interval as DiI is 1, …, n; marking the weight data of the staff to be tested as Ti,i=1、…、n;
S22, calculating the difference value between the weight data of the staff to be tested and the preset weight initial data to obtain the weight data judgment result of the staff to be tested; if the difference value belongs to the preset difference value range, judging the identity of the staff to be tested to be normal; if the difference does not belong to the preset difference range, judging the identity of the employee to be tested as abnormal;
s22, obtaining an attendance analysis result of the employee to be detected by analyzing the sitting time, the leaving time and the sitting time interval of the employee to be detected, wherein the attendance analysis result comprises an attendance result on duty, a work attendance result and an attendance result on duty;
s23, comparing the first sitting time in the sitting time with the preset attendance checking time to obtain an attendance checking result; if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, judging that the attendance of the employee to be tested is normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late;
s24 according to formula H ═ (H)2-h1)*60+m2-m1Calculating the leaving time and sitting time interval of the staff to be testedObtaining a plurality of interval durations, wherein h1Expressed as a small value of the departure time, h2Hour value expressed as sitting time, m1Expressed as the value in minutes of the departure time, m2Minute values expressed as sitting time; comparing the plurality of interval durations with preset standard interval durations to obtain work attendance checking results; if at least one of the interval durations is larger than a preset standard interval duration, judging the work attendance of the staff to be tested as abnormal; if the interval time lengths are not greater than the preset standard interval time length, judging the work attendance of the staff to be tested to be normal;
s25, comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; if the last leaving time is after the preset off-duty card punching time or is the same as the preset off-duty card punching time, judging that the off-duty attendance of the staff to be tested is normal; if the last leaving time is before the preset on-duty card punching time, judging that the off-duty attendance of the staff to be detected is early quit;
and S26, sending the weight data judgment result and the attendance analysis result of the employee to be tested to the data statistics module and the server.
Furthermore, the data statistics module is used for receiving and counting attendance analysis results and weight data judgment results of the staff to be detected, and sending abnormal results in the attendance analysis results to the data prompt module, wherein the abnormal results comprise late arrival, work attendance abnormality and early departure.
Further, the data prompt module is used for sending abnormal results in attendance analysis results of the staff to be tested to the staff to be tested and the administrator; the data prompting module is preset with an alarm value B1、B2、B3In which B is1Indicating a late arrival in the abnormal result, B2Indicating that work attendance in the abnormal result is abnormal; b is3Indicating an early exit in the exception result; when the weight data judgment result and the attendance analysis result of the staff to be detected are received in the data statistics module and the server, the late arrival, work attendance abnormality and early departure of the abnormal result in the attendance analysis result are sent by the server through the data statistics moduleTo the data prompt module, using a formulaConverting the late arrival, work attendance abnormity and early exit of the staff to be tested into an alarm value B1、B2、B3Where h denotes the hour value of the abnormal result, m denotes the minute value of the abnormal result, s denotes the second value of the abnormal result, ηiAnd (4) representing a preset scale factor, i is 1,2 and 3, and sending an alarm value to the staff to be tested and the administrator.
Further, the data acquisition module includes supporting seat and collection piece, it is located the inside of supporting seat to gather the piece, the upper end movable mounting of supporting seat has the isolating pad, the lower extreme fixed mounting of supporting seat has the support column, the inside of supporting seat is close to the fixed position of one side and installs the backup plate, the outer fixed surface of backup plate installs and holds up the handle, hold up fixedly connected with connecting block between handle and the backup plate, it is fixed with the supporting seat block to gather the piece, the isolating pad is fixed with the supporting seat butt.
The invention has the beneficial effects that:
(1) according to the method, the weight data of the staff to be tested is obtained through the supporting seat and the collecting block, the difference value between the weight data of the staff to be tested and the preset weight initial data is calculated, the weight data judgment result of the staff to be tested is obtained, and the preset weight initial data is the weight data of the staff at the work station in the previous day; if the difference value belongs to the preset difference value range, judging the identity of the staff to be tested to be normal; if the difference value does not belong to the preset difference value range, the identity of the staff to be detected is judged to be abnormal, namely the staff to be detected is not the personal use station, and the identity identification efficiency of the staff to be detected is effectively improved.
(2) According to the invention, the first sitting time of the employee to be detected is compared with the preset attendance checking time to obtain an attendance checking result; if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, judging that the attendance of the employee to be tested is normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late; comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; if the last leaving time is after the preset off-duty card punching time or is the same as the preset off-duty card punching time, judging that the off-duty attendance of the staff to be tested is normal; if the last leaving time is before the preset on-duty card punching time, the off-duty attendance of the staff to be detected is judged to be early quit, and the system can help a manager to quickly and accurately judge whether the staff has late attendance and early quit attendance problems.
(3) According to the method, a plurality of interval durations are obtained by calculating the leaving time and the sitting time interval of the staff to be tested, and the interval durations are compared with the preset standard interval duration to obtain a work attendance result; if at least one of the interval durations is larger than a preset standard interval duration, judging the work attendance of the staff to be tested as abnormal; if the time length of the intervals is not greater than the preset standard time length, the work attendance of the staff to be detected is judged to be normal, the problem that the working condition of the staff during the station cannot be obtained in the existing scheme is effectively solved, and the range and the efficiency of the staff attendance are improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a functional block diagram of an attendance system for facilitating enterprise management in accordance with the present invention;
FIG. 2 is a connection structure diagram of the support base and the collection block of the present invention.
In the figure: 1. a supporting seat; 2. collecting blocks; 3. an insulating pad; 4. a backup plate; 5. a handle is supported; 6. connecting blocks; 7. and (4) a support column.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention is an attendance system convenient for enterprise management, including a data acquisition module, a server, a database, a data processing module, a data statistics module, and a data prompt module; the working steps of the system comprise:
the method comprises the following steps: acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through a data acquisition module, and sending the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested to a server;
step two: the method comprises the steps that the sitting time, the leaving time interval and the sitting time interval of a staff to be tested and weight data of the staff to be tested are sent to a data processing module through a server, and the data processing module is used for analyzing according to the weight data of the staff to be tested to obtain a weight data judgment result; analyzing attendance of the staff to be detected by using a data processing module according to the sitting time, the leaving time and the sitting time interval of the staff to be detected to obtain an attendance analysis result;
step three: sending the weight data judgment result and the attendance analysis result of the staff to be tested to a data statistics module and a server;
step four: counting the weight data judgment result and the attendance analysis result of the staff to be detected by using the data counting module, and sending abnormal results in the attendance analysis result of the staff to be detected to the data prompting module;
step five: sending abnormal results in attendance analysis results of the staff to be tested to the staff and the administrator by using the data prompt module;
the data acquisition module is used for acquiring the sitting time, the leaving time and the sitting time interval of the staff to be detected and the weight data of the staff to be detected, and the data acquisition module is used for sending the acquired sitting time, the leaving time and the sitting time interval as well as the weight data of the staff to be detected to the server and storing the data in the database;
the data processing module comprises a time processing unit and a weight processing unit, the time processing unit is used for receiving the sitting time, the leaving time and the sitting time interval of the staff to be tested, carrying out statistical analysis and outputting attendance analysis results, and the weight processing unit is used for receiving the weight data of the staff to be tested, carrying out analysis and outputting weight data judgment results of the staff to be tested.
The data processing module comprises the following specific steps:
s21, acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through the supporting seat 1 and the acquisition block 2, and marking the sitting time of the staff to be tested as TiI is 1, …, n; mark the departure time as TjJ is 1, …, n; mark the departure time and sitting time interval as DiI is 1, …, n; marking the weight data of the staff to be tested as Ti,i=1、…、n;
S22, calculating the difference value between the weight data of the staff to be tested and the preset weight initial data to obtain the weight data judgment result of the staff to be tested; if the difference value belongs to the preset difference value range, judging the identity of the staff to be tested to be normal; if the difference does not belong to the preset difference range, judging the identity of the employee to be tested as abnormal;
s22, obtaining an attendance analysis result of the employee to be detected by analyzing the sitting time, the leaving time and the sitting time interval of the employee to be detected, wherein the attendance analysis result comprises an attendance result on duty, a work attendance result and an attendance result on duty;
s23, comparing the first sitting time in the sitting time with the preset attendance checking time to obtain an attendance checking result; if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, judging that the attendance of the employee to be tested is normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late;
s24 according to formula H ═ (H)2-h1)*60+m2-m1Calculating the leaving time and sitting time interval of the staff to be testedObtaining a plurality of interval durations, wherein h1Expressed as a small value of the departure time, h2Hour value expressed as sitting time, m1Expressed as the value in minutes of the departure time, m2Minute values expressed as sitting time; comparing the plurality of interval durations with preset standard interval durations to obtain work attendance checking results; if at least one of the interval durations is larger than a preset standard interval duration, judging the work attendance of the staff to be tested as abnormal; if the interval time lengths are not greater than the preset standard interval time length, judging the work attendance of the staff to be tested to be normal;
s25, comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; if the last leaving time is after the preset off-duty card punching time or is the same as the preset off-duty card punching time, judging that the off-duty attendance of the staff to be tested is normal; if the last leaving time is before the preset on-duty card punching time, judging that the off-duty attendance of the staff to be detected is early quit;
and S26, sending the weight data judgment result and the attendance analysis result of the employee to be tested to the data statistics module and the server.
The data statistics module is used for receiving and counting attendance analysis results and weight data judgment results of the staff to be detected, and sending abnormal results in the attendance analysis results to the data prompt module, wherein the abnormal results comprise late arrival, work attendance abnormality and early departure.
The data prompt module is used for sending abnormal results in attendance analysis results of the staff to be tested to the staff to be tested and the administrator; the data prompting module is preset with an alarm value B1、B2、B3In which B is1Indicating a late arrival in the abnormal result, B2Indicating that work attendance in the abnormal result is abnormal; b is3Indicating an early exit in the exception result; when the data statistics module and the server receive the weight data judgment result and the attendance analysis result of the staff to be tested, the server sends the late arrival, work attendance abnormality and early departure of the abnormal result in the attendance analysis result to the data prompt module through the data statistics module,using formulasConverting the late arrival, work attendance abnormity and early exit of the staff to be tested into an alarm value B1、B2、B3Where h denotes the hour value of the abnormal result, m denotes the minute value of the abnormal result, s denotes the second value of the abnormal result, ηiAnd (4) representing a preset scale factor, i is 1,2 and 3, and sending an alarm value to the staff to be tested and the administrator.
The data acquisition module includes supporting seat 1 and collection piece 2, it is located the inside of supporting seat 1 to gather piece 2, the upper end movable mounting of supporting seat 1 has the isolation pad 3, the lower extreme fixed mounting of supporting seat 1 has support column 7, the inside fixed position that is close to one side of supporting seat 1 has backup plate 4, the fixed surface of backup plate 4 installs and holds up handle 5, hold up fixedly connected with connecting block 6 between handle 5 and backup plate 4, it is fixed with 1 block of supporting seat to gather piece 2, isolation pad 3 is fixed with 1 butt of supporting seat.
The method has the working principle that weight data of a staff to be tested are obtained through a supporting seat and a collecting block, a force sensor is arranged in the collecting block, the model of the force sensor is CZ L601, the difference value between the weight data of the staff to be tested and preset weight initial data is calculated, the weight data judgment result of the staff to be tested is obtained, and the preset weight initial data is the weight data of the staff at the previous day of a station, for example, the preset difference value range is +/-1.5 Kg, if the difference value belongs to the preset difference value range, the identity of the staff to be tested is judged to be normal, if the difference value does not belong to the preset difference value range, the identity of the staff to be tested is judged to be abnormal, namely, the staff to be tested is not a user to use the station, and the identity identification efficiency of;
comparing the initial sitting time of the employee to be detected with the preset attendance checking time to obtain an attendance checking result; for example, the preset attendance time is 9 points, and if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, the attendance of the employee to be tested is judged to be normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late; comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; for example, the preset time for punching the card next work is 18 points, and if the last leaving time is after the preset time for punching the card next work, or is the same as the preset time for punching the card next work; judging the attendance of the staff to be tested to be normal; if the last leaving time is before the preset on-duty card punching time, the off-duty attendance of the staff to be detected is judged to be early quit, and the system can help a manager to quickly and accurately judge whether the staff has late attendance and early quit attendance problems;
according to the formula H ═ H2-h1)*60+m2-m1Calculating the leaving time and sitting time interval of the staff to be tested to obtain a plurality of interval durations, wherein h1Expressed as a small value of the departure time, h2Hour value expressed as sitting time, m1Expressed as the value in minutes of the departure time, m2Minute values expressed as sitting time; comparing the plurality of interval durations with preset standard interval durations to obtain work attendance checking results; for example, the preset standard interval duration is 15 minutes, and if at least one of the interval durations is greater than the preset standard interval duration; judging the work attendance of the staff to be tested to be abnormal; if the interval time lengths are not greater than the preset standard interval time length, judging the work attendance of the staff to be tested to be normal; for example, employee a has a departure time of 9: 50, if the returned sitting time is 10:10 and the interval between the leaving time and the sitting time of the employee A is 20 minutes, judging that the work attendance of the employee A is abnormal; the problem that the working condition of the staff in the station period cannot be obtained in the existing scheme is effectively solved, and the range and the efficiency of staff attendance are improved. The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An attendance system convenient for enterprise management is characterized by comprising a data acquisition module, a server, a database, a data processing module, a data statistics module and a data prompt module; the working steps of the system comprise:
the method comprises the following steps: acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through a data acquisition module, and sending the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested to a server;
step two: the method comprises the steps that the sitting time, the leaving time interval and the sitting time interval of a staff to be tested and weight data of the staff to be tested are sent to a data processing module through a server, and the data processing module is used for analyzing according to the weight data of the staff to be tested to obtain a weight data judgment result; analyzing attendance of the staff to be detected by using a data processing module according to the sitting time, the leaving time and the sitting time interval of the staff to be detected to obtain an attendance analysis result;
step three: sending the weight data judgment result and the attendance analysis result of the staff to be tested to a data statistics module and a server;
step four: counting the weight data judgment result and the attendance analysis result of the staff to be detected by using the data counting module, and sending abnormal results in the attendance analysis result of the staff to be detected to the data prompting module;
step five: sending abnormal results in attendance analysis results of the staff to be tested to the staff and the administrator by using the data prompt module;
the data acquisition module is used for acquiring the sitting time, the leaving time and the sitting time interval of the staff to be detected and the weight data of the staff to be detected, and the data acquisition module is used for sending the acquired sitting time, the leaving time and the sitting time interval as well as the weight data of the staff to be detected to the server and storing the data in the database;
the data processing module comprises a time processing unit and a weight processing unit, the time processing unit is used for receiving the sitting time, the leaving time and the sitting time interval of the staff to be tested, carrying out statistical analysis and outputting attendance analysis results, and the weight processing unit is used for receiving the weight data of the staff to be tested, carrying out analysis and outputting weight data judgment results of the staff to be tested.
2. The attendance system convenient for enterprise management as claimed in claim 1, wherein the data processing module comprises the specific steps of:
s21, acquiring the sitting time, the leaving time and the sitting time interval of the staff to be tested and the weight data of the staff to be tested through the supporting seat (1) and the acquisition block (2), and marking the sitting time of the staff to be tested as TiI is 1, …, n; mark the departure time as TjJ is 1, …, n; mark the departure time and sitting time interval as DiI is 1, …, n; marking the weight data of the staff to be tested as Ti,i=1、…、n;
S22, calculating the difference value between the weight data of the staff to be tested and the preset weight initial data to obtain the weight data judgment result of the staff to be tested; if the difference value belongs to the preset difference value range, judging the identity of the staff to be tested to be normal; if the difference does not belong to the preset difference range, judging the identity of the employee to be tested as abnormal;
s22, obtaining an attendance analysis result of the employee to be detected by analyzing the sitting time, the leaving time and the sitting time interval of the employee to be detected, wherein the attendance analysis result comprises an attendance result on duty, a work attendance result and an attendance result on duty;
s23, comparing the first sitting time in the sitting time with the preset attendance checking time to obtain an attendance checking result; if the initial sitting time is before the preset attendance time or is the same as the preset attendance time, judging that the attendance of the employee to be tested is normal; if the initial sitting time is after the preset attendance checking time, judging that the attendance checking of the employee to be detected is late;
s24 according toFormula H ═ H2-h1)*60+m2-m1Calculating the leaving time and sitting time interval of the staff to be tested to obtain a plurality of interval durations, wherein h1Expressed as a small value of the departure time, h2Hour value expressed as sitting time, m1Expressed as the value in minutes of the departure time, m2Minute values expressed as sitting time; comparing the plurality of interval durations with preset standard interval durations to obtain work attendance checking results; if at least one of the interval durations is larger than a preset standard interval duration, judging the work attendance of the staff to be tested as abnormal; if the interval time lengths are not greater than the preset standard interval time length, judging the work attendance of the staff to be tested to be normal;
s25, comparing the last leaving time in the leaving time with the preset off-duty card punching time to obtain an off-duty attendance result; if the last leaving time is after the preset off-duty card punching time or is the same as the preset off-duty card punching time, judging that the off-duty attendance of the staff to be tested is normal; if the last leaving time is before the preset on-duty card punching time, judging that the off-duty attendance of the staff to be detected is early quit;
and S26, sending the weight data judgment result and the attendance analysis result of the employee to be tested to the data statistics module and the server.
3. The attendance system convenient for enterprise management of claim 1, wherein the data statistics module is configured to receive and count attendance analysis results and weight data determination results of staff to be tested, and send abnormal results in the attendance analysis results to the data prompt module, where the abnormal results include late arrival, work attendance abnormality, and early departure.
4. The attendance system convenient for enterprise management as claimed in claim 1, wherein the data prompt module is configured to send an abnormal result in the attendance analysis results of the staff under test to the staff under test and the administrator; the data prompting module is preset with an alarm value B1、B2、B3In which B is1Indicating a late arrival in the abnormal result, B2Indicating that work attendance in the abnormal result is abnormal; b is3Indicating an early exit in the exception result; when the weight data judgment result and the attendance analysis result of the staff to be detected are received in the data statistics module and the server, the late arrival, work attendance abnormality and early departure of the abnormal result in the attendance analysis result are sent to the data prompt module through the data statistics module by the server, and the formula is utilizedConverting the late arrival, work attendance abnormity and early exit of the staff to be tested into an alarm value B1、B2、B3Where h denotes the hour value of the abnormal result, m denotes the minute value of the abnormal result, s denotes the second value of the abnormal result, ηiAnd (4) representing a preset scale factor, i is 1,2 and 3, and sending an alarm value to the staff to be tested and the administrator.
5. The attendance system convenient for enterprise management according to claim 1, wherein the data acquisition module comprises a support seat (1) and an acquisition block (2), the acquisition block (2) is located inside the support seat (1), an isolation pad (3) is movably mounted at the upper end of the support seat (1), a support column (7) is fixedly mounted at the lower end of the support seat (1), a backup plate (4) is fixedly mounted at a position, close to one side, inside the support seat (1), of the backup plate (4), a handle (5) is fixedly mounted at the outer surface of the backup plate (4), a connecting block (6) is fixedly connected between the handle (5) and the backup plate (4), the acquisition block (2) is fixedly clamped with the support seat (1), and the isolation pad (3) is fixedly abutted against the support seat (1).
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CN112149586A (en) * | 2020-09-28 | 2020-12-29 | 上海翰声信息技术有限公司 | Automatic video clip extraction system and method based on neural network |
CN113393591A (en) * | 2021-06-10 | 2021-09-14 | 临沂大学 | Mathematical teaching intelligent display processing method and device |
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CN112149586A (en) * | 2020-09-28 | 2020-12-29 | 上海翰声信息技术有限公司 | Automatic video clip extraction system and method based on neural network |
CN113393591A (en) * | 2021-06-10 | 2021-09-14 | 临沂大学 | Mathematical teaching intelligent display processing method and device |
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