CN111027843A - Electric power safety production integrated management system for power generation enterprises - Google Patents
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Abstract
The invention discloses an electric power safety production integrated management system for power generation enterprises, which comprises a personnel database, a working hour monitoring unit, an initial calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, intelligent equipment, a management unit, a data extraction unit and an inspection monitoring unit, wherein the personnel database is used for storing the working hour monitoring unit and the initial calculation unit; the invention can monitor the working hours of enterprise staff in real time through the working hour monitoring unit and process the working hours of all the staff to obtain corresponding evaluation data latent danger values Qi; meanwhile, the inspection times corresponding to each device can be obtained through the inspection monitoring unit, the inspection danger value Rc can be processed according to the inspection times, and then the total danger value is obtained according to a corresponding algorithm; the safety degree of the safety production of the current enterprise can be evaluated according to the total danger value; the production of enterprises can be assisted, and the effective auxiliary judgment of production safety is realized; the invention is simple, effective and easy to use.
Description
Technical Field
The invention belongs to the field of production management, relates to an electric power safety production technology, and particularly relates to an electric power safety production integrated management system for power generation enterprises.
Background
The patent with publication number CN104850964A discloses a device and a method for verifying the safety of an electric power production site, which comprises an electronic identity tag, an identity verification device and a mobile terminal; the identity authentication device is connected with the electronic identity tag and the mobile terminal; the mobile terminal is connected with the identity verification device through a serial port, after the mobile terminal sends a 2.4GHz radio frequency signal, the electronic identity tag receives the radio frequency signal and sends information of personnel, vehicles and equipment to the identity verification device, the identity verification device compares the received information with information recorded in an internal memory, and after the comparison is passed, verification is completed to display the information of the personnel, the vehicles and the equipment to the mobile terminal. The accurate verification of the whole process of the power production field is realized. The loophole in the aspect of safety management of the power production field is effectively avoided, and the safety of power operators and equipment is improved.
However, the current safety production management system cannot well combine the specific production conditions to effectively monitor the electric power safety production; in order to solve this technical problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide an integrated management system for power safety production for power generation enterprises.
The purpose of the invention can be realized by the following technical scheme:
an electric power safety production integrated management system for power generation enterprises comprises a personnel database, a working hour monitoring unit, a primary calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, intelligent equipment, a management unit, a data extraction unit and an inspection monitoring unit;
the personnel database stores a first-line worker list of the power generation enterprise, and the worker list comprises identity information of corresponding first-line workers and corresponding post information of the corresponding first-line workers; the working hour monitoring unit is used for monitoring the actual working hour corresponding to each identity information in the corresponding worker list and marking the working hour as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of corresponding front-line workers to form actual parameter information; the labor hour monitoring unit is used for transmitting the actual parameter information to the initial calculation unit, the initial calculation unit receives the actual parameter information transmitted by the labor hour monitoring unit and performs initial calculation analysis on the actual parameter information, and the specific steps of the initial calculation analysis are as follows:
the method comprises the following steps: acquiring actual parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing the identity information according to the post information, and endowing a limit value according to a dividing mode;
step three: marking identity information of a first-line worker as Si, i 1.. n;
step four: acquiring the working hours corresponding to the identity information Si every day from the beginning of a month, and marking the corresponding working hour information corresponding to the identity information Si every day as Gij, i is 1.. n, j is 1.. m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents that the man-hour of worker i on the j th day of the month is Gij;
step five: acquiring the labor hour information Gij, and resetting the labor hour information Gij at the end of each month; performing convergence and divergence analysis on the working hour information Gij to obtain a potential danger value Qi;
the initial calculation unit is also used for transmitting the latent danger value Qi to the controller; the system comprises an inspection monitoring unit, a storage unit and a control unit, wherein the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory area every day, and marking the inspection times as Hcv, c is 1.. k, and v is 1.. l; hcv denotes the number of polling times of device c on day v; the inspection unit is used for transmitting Hcv to the data extraction unit, and the data extraction unit is used for extracting Hcv to obtain an inspection value Rc, wherein c is 1.. k;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for correspondingly calculating Rc and Qi according to a formula to obtain a total danger value Zw; the specific calculation formula is as follows:
the controller generates a high-risk signal when Zw is larger than or equal to X4, otherwise, the controller generates a normal signal.
Further, the specific division manner of the limit values given in the step two is as follows:
s1: the staff marks the post information as a high-risk post, a medium post and a conventional post according to the post property;
s2: sequentially endowing the high-risk posts, the medium posts and the conventional posts with limit values, and correspondingly sequentially marking the limit values of the high-risk posts, the medium posts and the conventional posts as X1, X2 and X3; x1, X2 and X3 are preset values, and X1> X2> X3 is more than or equal to 1.
Further, the step five includes the step of analyzing the vergence:
SS 1: obtaining corresponding G1j by changing i to 1;
SS 2: calculating the average value of G1j, and marking the average value as average working hour P;
SS 3: a steady value W1 of G1j is calculated,
SS 4: acquiring the post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS 5: correspondingly calculating the potential risk value Q1 (Xz P/W1);
SS 6: obtaining corresponding Gij by enabling i to be i +1, and repeating the steps SS2-SS6 to obtain potential danger values Qi, i to be 1.. n corresponding to all Gij; qi corresponds to Si one to one.
Further, the specific processing steps for extracting and processing the patrol value Rc include:
s10: all the equipment is obtained, and the staff autonomously divides each equipment into high-grade equipment, medium-grade equipment and common equipment according to the importance of the equipment on production; correspondingly giving the security values to the advanced equipment, the medium equipment and the common equipment, and sequentially marking the security values to be A1, A2 and A3, wherein A1 is more than A2 is more than A3;
c is set to be 1, and corresponding H1v is obtained;
s20: calculating the average value of H1v, and marking the average value as B; acquiring an ampere value Az corresponding to the equipment;
s30: a steady value F1 for H1v was calculated,
s40: correspondingly calculating an patrol value R1-Az B/F1;
s50: c +1, obtaining corresponding Hcv, and repeating the steps SS2-SS6 to obtain patrol critical values Rc, c 1.. k corresponding to all Hcv; rc corresponds to Hcv.
Further, the controller transmits the high-risk signal to the intelligent device when generating the high-risk signal, and the intelligent device automatically displays that the current production risk coefficient is high and the current production risk coefficient is required to be immediately rectified and corrected when receiving the high-risk signal transmitted by the controller.
Further, the controller transmits a normal signal to the intelligent device when generating the normal signal, and the intelligent device automatically displays that the current production risk factor is normal and can be maintained when receiving the normal signal transmitted by the controller.
Further, the intelligent device is a portable intelligent terminal for a user, specifically a mobile phone.
Further, the initial calculation unit is also used for transmitting the labor hour information Gij to a database; the yield monitoring unit is used for monitoring the total power generation in real time in the current month and transmitting the total power generation to the accounting unit, the accounting unit is used for carrying out efficiency analysis on the total power generation by combining a database, and the specific analysis process is as follows:
s100: marking the total power generation as Df;
s200: calculating the generating efficiency Fx by using a formula; the specific calculation formula is
S300: transmitting the generating efficiency Fx to a database for storage, comparing the generating efficiency in the current month with the generating efficiency in the previous month, if the generating efficiency in the current month is more than or equal to the generating efficiency in the previous month, generating a progress signal, and otherwise generating a reduction signal;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits characters to the intelligent equipment, wherein the efficiency of the current month is improved compared with that of the last month when receiving the progress signal transmitted by the accounting unit;
the accounting unit transmits the reduction signal to the controller when generating the reduction signal, and the controller automatically transmits characters to the intelligent equipment when receiving the reduction signal transmitted by the accounting unit, wherein the current month efficiency is obviously lower than the previous month efficiency, and the production is required to be adjusted in time.
Further, the management unit is used for a manager to enter all preset values X1, X2, X3, X4, A1, A2 and A3.
The invention has the beneficial effects that:
the invention can monitor the working hours of enterprise staff in real time through the working hour monitoring unit and process the working hours of all the staff to obtain corresponding evaluation data latent danger values Qi; meanwhile, the inspection times corresponding to each device can be obtained through the inspection monitoring unit, the inspection danger value Rc can be processed according to the inspection times, and then the total danger value is obtained according to a corresponding algorithm; the safety degree of the safety production of the current enterprise can be evaluated according to the total danger value; the auxiliary production of enterprises is facilitated; the invention creatively utilizes two concepts of latent danger value and patrol danger value to evaluate the production condition; obtaining the basic situation of a power generation enterprise; the production of enterprises can be assisted, and the effective auxiliary judgment of production safety is realized; the invention is simple, effective and easy to use.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a system block diagram of an integrated management system for power safety production for power generation enterprises according to the present invention.
Detailed Description
As shown in fig. 1, an integrated management system for power safety production for power generation enterprises includes a personnel database, a man-hour monitoring unit, an initial calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, an intelligent device, a management unit, a data extraction unit and an inspection monitoring unit;
the personnel database stores a first-line worker list of the power generation enterprise, and the worker list comprises identity information of corresponding first-line workers and corresponding post information of the corresponding first-line workers; the working hour monitoring unit is used for monitoring the actual working hour corresponding to each identity information in the corresponding worker list and marking the working hour as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of corresponding front-line workers to form actual parameter information; the labor hour monitoring unit is used for transmitting the actual parameter information to the initial calculation unit, the initial calculation unit receives the actual parameter information transmitted by the labor hour monitoring unit and performs initial calculation analysis on the actual parameter information, and the specific steps of the initial calculation analysis are as follows:
the method comprises the following steps: acquiring actual parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing the identity information according to the post information, and endowing a limit value according to a dividing mode, wherein the specific dividing mode is as follows:
s1: the staff marks the post information as a high-risk post, a medium post and a conventional post according to the post property;
s2: sequentially endowing the high-risk posts, the medium posts and the conventional posts with limit values, and correspondingly sequentially marking the limit values of the high-risk posts, the medium posts and the conventional posts as X1, X2 and X3; x1, X2 and X3 are preset values, and X1 is greater than X2, X3 is greater than or equal to 1;
step three: marking identity information of a first-line worker as Si, i 1.. n;
step four: acquiring the working hours corresponding to the identity information Si every day from the beginning of a month, and marking the corresponding working hour information corresponding to the identity information Si every day as Gij, i is 1.. n, j is 1.. m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents that the man-hour of worker i on the j th day of the month is Gij;
step five: acquiring the labor hour information Gij, and resetting the labor hour information Gij at the end of each month; performing convergence and divergence analysis on the man-hour information Gij, wherein the convergence and divergence analysis comprises the following steps:
SS 1: obtaining corresponding G1j by changing i to 1;
SS 2: calculating the average value of G1j, and marking the average value as average working hour P;
SS 3: a steady value W1 of G1j is calculated,
SS 4: acquiring the post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS 5: correspondingly calculating the potential risk value Q1 (Xz P/W1);
SS 6: obtaining corresponding Gij by enabling i to be i +1, and repeating the steps SS2-SS6 to obtain potential danger values Qi, i to be 1.. n corresponding to all Gij; qi corresponds to Si one by one;
the initial calculation unit is also used for transmitting the latent danger value Qi to the controller; the system comprises an inspection monitoring unit, a storage unit and a control unit, wherein the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory area every day, and marking the inspection times as Hcv, c is 1.. k, and v is 1.. l; hcv denotes the number of polling times of device c on day v; the inspection unit is used for transmitting Hcv to the data extraction unit, the data extraction unit is used for extracting Hcv, and the specific processing steps are as follows:
s10: all the equipment is obtained, and the staff autonomously divides each equipment into high-grade equipment, medium-grade equipment and common equipment according to the importance of the equipment on production; correspondingly giving the security values to the advanced equipment, the medium equipment and the common equipment, and sequentially marking the security values to be A1, A2 and A3, wherein A1 is more than A2 is more than A3;
c is set to be 1, and corresponding H1v is obtained;
s20: calculating the average value of H1v, and marking the average value as B; acquiring an ampere value Az corresponding to the equipment;
s30: a steady value F1 for H1v was calculated,
s40: correspondingly calculating an patrol value R1-Az B/F1;
s50: c +1, obtaining corresponding Hcv, and repeating the steps SS2-SS6 to obtain patrol critical values Rc, c 1.. k corresponding to all Hcv; rc corresponds to Hcv;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for correspondingly calculating Rc and Qi according to a formula to obtain a total danger value Zw; the specific calculation formula is as follows:
the controller generates a high-risk signal when Zw is larger than or equal to X4, otherwise, a conventional signal is generated; the controller transmits a high-risk signal to the intelligent equipment when generating the high-risk signal, and the intelligent equipment automatically displays that the current production risk coefficient is high and the current production risk coefficient is required to be immediately corrected when receiving the high-risk signal transmitted by the controller;
the controller transmits a conventional signal to the intelligent device when generating the conventional signal, and the intelligent device can automatically display that the current production danger coefficient is normal and can be maintained when receiving the conventional signal transmitted by the controller;
the intelligent equipment is a portable intelligent terminal of a user, and can be a mobile phone specifically;
the initial calculation unit is also used for transmitting the working hour information Gij to a database; the yield monitoring unit is used for monitoring the total power generation in real time in the current month and transmitting the total power generation to the accounting unit, the accounting unit is used for carrying out efficiency analysis on the total power generation by combining a database, and the specific analysis process is as follows:
s100: marking the total power generation as Df;
s200: calculating the generating efficiency Fx by using a formula; the specific calculation formula is
S300: transmitting the generating efficiency Fx to a database for storage, comparing the generating efficiency in the current month with the generating efficiency in the previous month, if the generating efficiency in the current month is more than or equal to the generating efficiency in the previous month, generating a progress signal, and otherwise generating a reduction signal;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits characters to the intelligent equipment, wherein the efficiency of the current month is improved compared with that of the last month when receiving the progress signal transmitted by the accounting unit;
the accounting unit transmits the reduction signal to the controller when generating the reduction signal, and the controller automatically transmits characters to the intelligent equipment when receiving the reduction signal transmitted by the accounting unit, wherein the characters are that the monthly efficiency is obviously insufficient compared with the monthly efficiency, and the production is required to be adjusted in time;
the management unit is used for the manager to record all preset values X1, X2, X3, X4, A1, A2 and A3.
When the integrated management system works, the working hours of enterprise staff can be monitored in real time through a working hour monitoring unit, and the working hours of all the staff are processed to obtain corresponding evaluation data latent danger values Qi; meanwhile, the inspection times corresponding to each device can be obtained through the inspection monitoring unit, the inspection danger value Rc can be processed according to the inspection times, and then the total danger value is obtained according to a corresponding algorithm; the safety degree of the safety production of the current enterprise can be evaluated according to the total danger value; the auxiliary production of enterprises is facilitated; the invention creatively utilizes two concepts of latent danger value and patrol danger value to evaluate the production condition; obtaining the basic situation of a power generation enterprise; the production of enterprises can be assisted, and the effective auxiliary judgment of production safety is realized; the invention is simple, effective and easy to use.
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 (10)
1. An integrated management system for power safety production for power generation enterprises is characterized by comprising a personnel database, a working hour monitoring unit, an initial calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, intelligent equipment, a management unit, a data extraction unit and an inspection monitoring unit;
the personnel database stores a first-line worker list of the power generation enterprise, and the worker list comprises identity information of corresponding first-line workers and corresponding post information of the corresponding first-line workers; the working hour monitoring unit is used for monitoring the actual working hour corresponding to each identity information in the corresponding worker list and marking the working hour as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of corresponding front-line workers to form actual parameter information; the labor hour monitoring unit is used for transmitting the actual parameter information to the initial calculation unit, the initial calculation unit receives the actual parameter information transmitted by the labor hour monitoring unit and performs initial calculation analysis on the actual parameter information, and the specific steps of the initial calculation analysis are as follows:
the method comprises the following steps: acquiring actual parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing the identity information according to the post information, and endowing a limit value according to a dividing mode;
step three: marking identity information of a first-line worker as Si, i 1.. n;
step four: acquiring the working hours corresponding to the identity information Si every day from the beginning of a month, and marking the corresponding working hour information corresponding to the identity information Si every day as Gij, i is 1.. n, j is 1.. m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents that the man-hour of worker i on the j th day of the month is Gij;
step five: acquiring the labor hour information Gij, and resetting the labor hour information Gij at the end of each month; performing convergence and divergence analysis on the working hour information Gij to obtain a potential danger value Qi;
the initial calculation unit is also used for transmitting the latent danger value Qi to the controller; the system comprises an inspection monitoring unit, a storage unit and a control unit, wherein the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory area every day, and marking the inspection times as Hcv, c is 1.. k, and v is 1.. l; hcv denotes the number of polling times of device c on day v; the inspection unit is used for transmitting Hcv to the data extraction unit, and the data extraction unit is used for extracting Hcv to obtain an inspection value Rc, wherein c is 1.. k;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for correspondingly calculating Rc and Qi according to a formula to obtain a total danger value Zw; the specific calculation formula is as follows:
the controller generates a high-risk signal when Zw is larger than or equal to X4, otherwise, the controller generates a normal signal.
2. The integrated power safety production management system for the power generation enterprises according to claim 1, wherein the specific division of the limit values in the second step is as follows:
s1: the staff marks the post information as a high-risk post, a medium post and a conventional post according to the post property;
s2: sequentially endowing the high-risk posts, the medium posts and the conventional posts with limit values, and correspondingly sequentially marking the limit values of the high-risk posts, the medium posts and the conventional posts as X1, X2 and X3; x1, X2 and X3 are preset values, and X1> X2> X3 is more than or equal to 1.
3. The integrated management system for power safety production of power generation enterprises according to claim 1, wherein the aggregation and dispersion analysis in the fifth step comprises:
SS 1: obtaining corresponding G1j by changing i to 1;
SS 2: calculating the average value of G1j, and marking the average value as average working hour P;
SS 3: a steady value W1 of G1j is calculated,
SS 4: acquiring the post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS 5: correspondingly calculating the potential risk value Q1 (Xz P/W1);
SS 6: obtaining corresponding Gij by enabling i to be i +1, and repeating the steps SS2-SS6 to obtain potential danger values Qi, i to be 1.. n corresponding to all Gij; qi corresponds to Si one to one.
4. The integrated management system for power safety production of power generation enterprises according to claim 1, wherein the specific processing steps for extracting and processing the patrol value Rc are as follows:
s10: acquiring all devices, wherein the devices are divided into high-grade devices, medium-grade devices and common devices; correspondingly giving the security values to the advanced equipment, the medium equipment and the common equipment, and sequentially marking the security values to be A1, A2 and A3, wherein A1 is more than A2 is more than A3;
c is set to be 1, and corresponding H1v is obtained;
s20: calculating the average value of H1v, and marking the average value as B; acquiring an ampere value Az corresponding to the equipment;
s30: a steady value F1 for H1v was calculated,
s40: correspondingly calculating an patrol value R1-Az B/F1;
s50: c +1, obtaining corresponding Hcv, and repeating the steps SS2-SS6 to obtain patrol critical values Rc, c 1.. k corresponding to all Hcv; rc corresponds to Hcv.
5. The integrated management system for power safety production of power generation enterprises of claim 1, wherein the controller transmits a high-risk signal to the intelligent device when generating the high-risk signal, and the intelligent device automatically displays that "the current production risk factor is high, please immediately correct and change" when receiving the high-risk signal transmitted by the controller.
6. The integrated management system for power safety production of power generation enterprises as claimed in claim 1, wherein the controller transmits a normal signal to the intelligent device when generating the normal signal, and the intelligent device automatically displays that the current production risk factor is normal and can be maintained when receiving the normal signal transmitted by the controller.
7. The integrated management system for power safety production of power generation enterprises according to any one of claims 1, 5 and 6, wherein the intelligent device is a portable intelligent terminal, in particular a mobile phone.
8. The integrated management system for power safety production of power generation enterprises according to claim 1, wherein the initial calculation unit is further configured to transmit labor hour information Gij to a database; the yield monitoring unit is used for monitoring the total power generation in the current month in real time and transmitting the total power generation to the accounting unit.
9. The integrated power safety production management system for power generation enterprises according to claim 8, wherein the accounting unit is configured to perform efficiency analysis on the total power generation amount by combining with the database, and the specific analysis process is as follows:
s100: marking the total power generation as Df;
s200: calculating the generating efficiency Fx by using a formula; the specific calculation formula is
S300: transmitting the generating efficiency Fx to a database for storage, comparing the generating efficiency in the current month with the generating efficiency in the previous month, if the generating efficiency in the current month is more than or equal to the generating efficiency in the previous month, generating a progress signal, and otherwise generating a reduction signal;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits characters to the intelligent equipment, wherein the efficiency of the current month is improved compared with that of the last month when receiving the progress signal transmitted by the accounting unit;
the accounting unit transmits the reduction signal to the controller when generating the reduction signal, and the controller automatically transmits characters to the intelligent equipment when receiving the reduction signal transmitted by the accounting unit, wherein the current month efficiency is obviously lower than the previous month efficiency, and the production is required to be adjusted in time.
10. The integrated power safety production management system for power generation enterprises of claim 1, wherein the management unit is used for a manager to enter all preset values X1, X2, X3, X4, A1, A2 and A3.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107451732A (en) * | 2017-07-31 | 2017-12-08 | 华腾软科（北京）信息技术有限公司 | A kind of enterprise safety operation total management system and method |
| CN108280579A (en) * | 2018-01-24 | 2018-07-13 | 杭州凯达电力建设有限公司 | A kind of electric power enterprise safe production management system and method |
| CN110031371A (en) * | 2019-04-29 | 2019-07-19 | 李旭 | A kind of environment monitoring device of architectural engineering |
| CN110514898A (en) * | 2019-08-20 | 2019-11-29 | 国网湖北省电力有限公司荆州供电公司 | Power grid power supply capacity metering system based on 0.4KV client |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107451732A (en) * | 2017-07-31 | 2017-12-08 | 华腾软科（北京）信息技术有限公司 | A kind of enterprise safety operation total management system and method |
| CN108280579A (en) * | 2018-01-24 | 2018-07-13 | 杭州凯达电力建设有限公司 | A kind of electric power enterprise safe production management system and method |
| CN110031371A (en) * | 2019-04-29 | 2019-07-19 | 李旭 | A kind of environment monitoring device of architectural engineering |
| CN110514898A (en) * | 2019-08-20 | 2019-11-29 | 国网湖北省电力有限公司荆州供电公司 | Power grid power supply capacity metering system based on 0.4KV client |
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