CN111027843B - Integrated management system for power safety production for power generation enterprises - Google Patents
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- 238000010248 power generation Methods 0.000 title claims abstract description 59
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 49
- 238000012544 monitoring process Methods 0.000 claims abstract description 48
- 238000004364 calculation method Methods 0.000 claims abstract description 35
- 238000007689 inspection Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000013075 data extraction Methods 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims description 18
- 230000003203 everyday effect Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 5
- 238000009434 installation Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims 1
- 230000002776 aggregation Effects 0.000 claims 1
- 239000006185 dispersion Substances 0.000 claims 1
- 238000011156 evaluation Methods 0.000 abstract description 3
- 238000012795 verification Methods 0.000 description 10
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses an integrated management system for power safety production for power generation enterprises, which comprises a personnel database, a working hour monitoring unit, a primary calculation unit, a controller, a database, a calculation unit, a yield monitoring unit, intelligent equipment, a management unit, a data extraction unit and a patrol monitoring unit; the invention can monitor the working hours of the staff of the enterprise in real time through the working hour monitoring unit, and process the working hours of all staff to obtain the corresponding evaluation data potential risk value Qi; meanwhile, the inspection monitoring unit can acquire the inspection times corresponding to each device, process the inspection danger value Rc according to the inspection times, and then obtain the total danger value according to the 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 effective auxiliary judgment of production safety is realized; the invention is simple and effective, and is easy and practical.
Description
Technical Field
The invention belongs to the field of production management, relates to a power safety production technology, and in particular relates to a power safety production integrated management system for power generation enterprises.
Background
The patent with the bulletin number of CN104850964A discloses a power production site safety verification device and a power production site safety verification method, wherein the power production site safety verification device comprises an electronic identity tag, an identity verification device and a mobile terminal; the identity verification 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 personnel, vehicles and equipment information to the identity verification device, the identity verification device compares the received information with information recorded in an internal memory, and after the comparison, verification is completed to display the personnel, vehicles and equipment information to the mobile terminal. And the whole process accurate verification of the power production site is realized. The vulnerability in the aspect of safety management of the power production site is effectively avoided, and the safety of power operators and equipment is improved.
However, the current safety production management system cannot effectively monitor the safety production of electric power by combining specific production conditions; 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 aim of the invention can be achieved by the following technical scheme:
the integrated management system for the power safety production for the power generation enterprises comprises a personnel database, a working hour monitoring unit, a preliminary calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, intelligent equipment, a management unit, a data extraction unit and a patrol monitoring unit;
the personnel database stores a first-line worker list of a power generation enterprise, wherein the worker list comprises identity information of corresponding first-line workers and corresponding post information of the workers; the working hour monitoring unit is used for monitoring the actual working time length corresponding to each identity information in the corresponding worker list and marking the working time length as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of a corresponding first-line worker to form real parameter information; the working hour monitoring unit is used for transmitting the real parameter information to the primary calculation unit, and the primary calculation unit receives the real parameter information transmitted by the working hour monitoring unit and performs primary calculation analysis on the real parameter information, and the specific steps of the primary calculation analysis are as follows:
step one: acquiring real parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing identity information according to post information, and giving limit values according to a dividing mode;
step three: the identity information of the first line worker is marked Si, i=1..n;
step four: the method comprises the steps of obtaining working hours of corresponding identity information Si every day from the beginning of month, and marking the working hours of the corresponding identity information Si every day as Gij, i=1..n, j=1..m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents the man-hour of worker i on the j th day of the month as Gij;
step five: acquiring working hour information Gij, and clearing the working hour information Gij at the month end of each month; carrying out gather and scatter analysis on the man-hour information Gij to obtain a potential risk value Qi;
the primary calculation unit is also used for transmitting the potential risk value Qi to the controller; the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory every day, and marking the inspection times as Hcv, c=1..k, v=1..l; hcv represents the number of device c night patrol; the inspection monitoring unit is used for transmitting the Hcv to the data extraction unit, and the data extraction unit is used for extracting the Hcv to obtain an inspection risk value Rc, c=1..k;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for carrying out corresponding calculation on Rc and Qi according to a formula to obtain a total risk value Zw; the specific calculation formula is as follows:
the controller generates high-risk signals when Zw is more than or equal to X4, otherwise generates conventional signals.
Further, the specific dividing mode of the limit value in the second step is as follows:
s1: the staff marks the post information as high-risk posts, medium posts and conventional posts according to the post properties;
s2: sequentially assigning limit values to the high-risk positions, the medium positions and the conventional positions, and correspondingly sequentially marking the limit values of the high-risk positions, the medium positions and the conventional positions as X1, X2 and X3; x1, X2 and X3 are all preset values, and X1> X2> X3 is more than or equal to 1.
Further, in the fifth step, the step of vergence analysis is as follows:
SS1: let i=1, obtain the corresponding G1j;
SS2: the average value of G1j is obtained and marked as average time P;
SS3: calculating the steady value W of G1j 1 ，
SS4: acquiring post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS5: correspondingly calculating the potential risk value Q1=Xz.P/W 1 ；
SS6: let i=i+1, obtain the corresponding Gij, repeat steps SS2-SS6, obtain the potential value Qi of all the corresponding Gij, i=1..n; qi corresponds one-to-one to Si.
Further, the specific processing steps for obtaining the patrol risk value Rc through the extraction processing are as follows:
s10: all the devices are obtained, and a worker autonomously divides the devices into advanced devices, medium devices and common devices according to the importance of each device on production; corresponding to the high-level equipment, the medium equipment and the common equipment, giving security values, and marking the security values as A1, A2 and A3 in sequence, wherein A1 is more than A2 is more than A3 is more than 1;
let c=1, obtain the corresponding H1v;
s20: the average value of H1v is calculated, and marked as average patrol B; acquiring an installation value Az corresponding to the equipment;
s30: calculating the steady value F of H1v 1 ，
S40: corresponding calculation of the inspection risk value R1=Az×B/F 1 ；
S50: c=c+1, obtaining corresponding Hcv, and repeating steps S20-S50 to obtain patrol risk values Rc corresponding to all Hcv, c=1. Rc corresponds one-to-one 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 the current high-risk coefficient when receiving the high-risk signal transmitted by the controller, and immediately alters the current high-risk coefficient.
Further, the controller transmits the regular signal to the intelligent device when generating the regular signal, and the intelligent device automatically displays that the current production risk coefficient is normal and can be maintained when receiving the regular signal transmitted by the controller.
Further, the intelligent device is a portable intelligent terminal of a user, and particularly is a mobile phone.
Further, the primary calculation unit is further used for transmitting the working hour information Gij to a database; the output monitoring unit is used for monitoring the total power generation amount in the current month in real time and transmitting the total power generation amount to the accounting unit, and the accounting unit is used for carrying out efficiency analysis on the total power generation amount by combining a database, and the specific analysis process is as follows:
s100: marking the total power generation amount as Df;
s200: calculating the power generation efficiency Fx by using a formula; the specific calculation formula is that
S300: transmitting the power generation efficiency Fx to a database for storage, comparing the power generation efficiency of the current month with the power generation efficiency of the previous month, generating an progress signal if the power generation efficiency of the current month is more than or equal to the power generation efficiency of the previous month, and generating a reduction signal if the power generation efficiency of the current month is not more than the power generation efficiency of the previous month;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits the word 'the efficiency of the month is improved by the month' to the intelligent device when receiving the progress signal transmitted by the accounting unit;
the said accounting unit transmits the said lowering signal to the controller when producing the lowering signal, the said controller when receiving the lowering signal that the accounting unit transmits, transmit the word "the efficiency is obviously insufficient than the upper month in the month" to the intelligent device automatically, please adjust the production in time.
Further, the management unit is used for a manager to input 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 the staff of the enterprise in real time through the working hour monitoring unit, and process the working hours of all staff to obtain the corresponding evaluation data potential risk value Qi; meanwhile, the inspection monitoring unit can acquire the inspection times corresponding to each device, process the inspection danger value Rc according to the inspection times, and then obtain the total danger value according to the 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 evaluates the production condition by means of two concepts of the potential risk value and the inspection risk value; obtaining the basic condition of a power generation enterprise; the production of enterprises can be assisted, and effective auxiliary judgment of production safety is realized; the invention is simple and effective, and is easy and practical.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a system block diagram of an integrated power safety production management system for a power generation enterprise of the present invention.
Detailed Description
As shown in fig. 1, an integrated management system for power safety production for a power generation enterprise includes a personnel database, a man-hour monitoring unit, a preliminary calculation unit, a controller, a database, an accounting unit, a yield monitoring unit, an intelligent device, a management unit, a data extraction unit and a patrol monitoring unit;
the personnel database stores a first-line worker list of a power generation enterprise, wherein the worker list comprises identity information of corresponding first-line workers and corresponding post information of the workers; the working hour monitoring unit is used for monitoring the actual working time length corresponding to each identity information in the corresponding worker list and marking the working time length as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of a corresponding first-line worker to form real parameter information; the working hour monitoring unit is used for transmitting the real parameter information to the primary calculation unit, and the primary calculation unit receives the real parameter information transmitted by the working hour monitoring unit and performs primary calculation analysis on the real parameter information, and the specific steps of the primary calculation analysis are as follows:
step one: acquiring real parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing identity information according to post information, and giving limit values according to a dividing mode, wherein the specific dividing mode is as follows:
s1: the staff marks the post information as high-risk posts, medium posts and conventional posts according to the post properties;
s2: sequentially assigning limit values to the high-risk positions, the medium positions and the conventional positions, and correspondingly sequentially marking the limit values of the high-risk positions, the medium positions and the conventional positions as X1, X2 and X3; x1, X2 and X3 are all preset values, and X1> X2> X3 is more than or equal to 1;
step three: the identity information of the first line worker is marked Si, i=1..n;
step four: the method comprises the steps of obtaining working hours of corresponding identity information Si every day from the beginning of month, and marking the working hours of the corresponding identity information Si every day as Gij, i=1..n, j=1..m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents the man-hour of worker i on the j th day of the month as Gij;
step five: acquiring working hour information Gij, and clearing the working hour information Gij at the month end of each month; and carrying out gather and scatter analysis on the working hour information Gij, wherein the gather and scatter analysis comprises the following steps:
SS1: let i=1, obtain the corresponding G1j;
SS2: the average value of G1j is obtained and marked as average time P;
SS3: calculating the steady value W of G1j 1 ，
SS4: acquiring post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS5: correspondingly calculating the potential risk value Q1=Xz.P/W 1 ；
SS6: let i=i+1, obtain the corresponding Gij, repeat steps SS2-SS6, obtain the potential value Qi of all the corresponding Gij, i=1..n; qi corresponds to Si one by one;
the primary calculation unit is also used for transmitting the potential risk value Qi to the controller; the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory every day, and marking the inspection times as Hcv, c=1..k, v=1..l; hcv represents the number of device c night patrol; the inspection monitoring unit is used for transmitting the Hcv to the data extraction unit, and the data extraction unit is used for extracting the Hcv, and the specific processing steps are as follows:
s10: all the devices are obtained, and a worker autonomously divides the devices into advanced devices, medium devices and common devices according to the importance of each device on production; corresponding to the high-level equipment, the medium equipment and the common equipment, giving security values, and marking the security values as A1, A2 and A3 in sequence, wherein A1 is more than A2 is more than A3 is more than 1;
let c=1, obtain the corresponding H1v;
s20: the average value of H1v is calculated, and marked as average patrol B; acquiring an installation value Az corresponding to the equipment;
s30: calculating the steady value F of H1v 1 ，
S40: corresponding calculation of the inspection risk value R1=Az×B/F 1 ；
S50: c=c+1, obtaining corresponding Hcv, and repeating steps S20-S50 to obtain patrol risk values Rc corresponding to all Hcv, c=1. Rc corresponds to Hcv one by one;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for carrying out corresponding calculation on Rc and Qi according to a formula to obtain a total risk value Zw; the specific calculation formula is as follows:
the controller generates a high-risk signal when Zw is more than or equal to X4, otherwise generates a conventional signal; the controller transmits high-risk signals to the intelligent equipment when generating the high-risk signals, and the intelligent equipment automatically displays the current high-risk coefficient of production and immediate correction when receiving the high-risk signals transmitted by the controller;
the controller transmits a conventional signal to the intelligent device when generating the conventional signal, and the intelligent device automatically displays that the current production risk 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;
the primary calculation unit is also used for transmitting the working hour information Gij to a database; the output monitoring unit is used for monitoring the total power generation amount in the current month in real time and transmitting the total power generation amount to the accounting unit, and the accounting unit is used for carrying out efficiency analysis on the total power generation amount by combining a database, and the specific analysis process is as follows:
s100: marking the total power generation amount as Df;
s200: calculating the power generation efficiency Fx by using a formula; the specific calculation formula is that
S300: transmitting the power generation efficiency Fx to a database for storage, comparing the power generation efficiency of the current month with the power generation efficiency of the previous month, generating an progress signal if the power generation efficiency of the current month is more than or equal to the power generation efficiency of the previous month, and generating a reduction signal if the power generation efficiency of the current month is not more than the power generation efficiency of the previous month;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits the word 'the efficiency of the month is improved by the month' to the intelligent device when receiving the progress signal transmitted by the accounting unit;
the controller automatically transmits words of 'obviously insufficient month efficiency is higher month efficiency, and timely production adjustment is required' to intelligent equipment when receiving the lowering signal transmitted by the accounting unit;
the management unit is used for a manager to input all preset values X1, X2, X3, X4, A1, A2 and A3.
The integrated management system for power safety production for power generation enterprises can monitor the working hours of the staff of the enterprises in real time through a working hour monitoring unit and process the working hours of all the staff to obtain corresponding evaluation data potential risk value Qi; meanwhile, the inspection monitoring unit can acquire the inspection times corresponding to each device, process the inspection danger value Rc according to the inspection times, and then obtain the total danger value according to the 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 evaluates the production condition by means of two concepts of the potential risk value and the inspection risk value; obtaining the basic condition of a power generation enterprise; the production of enterprises can be assisted, and effective auxiliary judgment of production safety is realized; the invention is simple and effective, and is easy and practical.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. The integrated management system for the power safety production for the power generation enterprises is characterized by comprising 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 a patrol monitoring unit;
the personnel database stores a first-line worker list of a power generation enterprise, wherein the worker list comprises identity information of corresponding first-line workers and corresponding post information of the workers; the working hour monitoring unit is used for monitoring the actual working time length corresponding to each identity information in the corresponding worker list and marking the working time length as working hour information; the working hour monitoring unit is used for fusing working hour information with identity information and post information of a corresponding first-line worker to form real parameter information; the working hour monitoring unit is used for transmitting the real parameter information to the primary calculation unit, and the primary calculation unit receives the real parameter information transmitted by the working hour monitoring unit and performs primary calculation analysis on the real parameter information, and the specific steps of the primary calculation analysis are as follows:
step one: acquiring real parameter information, and acquiring internal working hour information, corresponding identity information and post information;
step two: dividing identity information according to post information, and giving limit values according to a dividing mode;
step three: the identity information of the first line worker is marked Si, i=1..n;
step four: the method comprises the steps of obtaining working hours of corresponding identity information Si every day from the beginning of month, and marking the working hours of the corresponding identity information Si every day as Gij, i=1..n, j=1..m; m is less than or equal to 31; gij corresponds to Si one by one; and Gij represents the man-hour of worker i on the j th day of the month as Gij;
step five: acquiring working hour information Gij, and clearing the working hour information Gij at the month end of each month; carrying out gather and scatter analysis on the man-hour information Gij to obtain a potential risk value Qi;
the primary calculation unit is also used for transmitting the potential risk value Qi to the controller; the inspection monitoring unit is used for monitoring the inspection times of all equipment in a factory every day, and marking the inspection times as Hcv, c=1..k, v=1..l; hcv represents the number of device c night patrol; the inspection monitoring unit is used for transmitting the Hcv to the data extraction unit, and the data extraction unit is used for extracting the Hcv to obtain an inspection risk value Rc, c=1..k;
the data extraction unit is used for transmitting Rc to the controller, and the controller is used for carrying out corresponding calculation on Rc and Qi according to a formula to obtain a total risk value Zw; the specific calculation formula is as follows:
the controller generates a high-risk signal when Zw is more than or equal to X4, otherwise generates a conventional signal, and X4 is a preset value;
the aggregation and dispersion analysis step in the fifth step is as follows:
SS1: let i=1, obtain the corresponding G1j;
SS2: the average value of G1j is obtained and marked as average time P;
SS3: calculating the steady value W of G1j 1 ，
SS4: acquiring post information corresponding to G1j, acquiring a corresponding limit value according to the post information, and marking the limit value as Xz;
SS5: correspondingly calculating the potential risk value Q1=Xz.P/W 1 ；
SS6: let i=i+1, obtain the corresponding Gij, repeat steps SS2-SS6, obtain the potential value Qi of all the corresponding Gij, i=1..n; qi corresponds to Si one by one;
the specific dividing mode of the limit value is as follows:
s1: the staff marks the post information as high-risk posts, medium posts and conventional posts according to the post properties;
s2: sequentially assigning limit values to the high-risk positions, the medium positions and the conventional positions, and correspondingly sequentially marking the limit values of the high-risk positions, the medium positions and the conventional positions as X1, X2 and X3; x1, X2 and X3 are all preset values, and X1> X2> X3 is more than or equal to 1;
the specific processing steps for obtaining the inspection risk value Rc through extraction processing are as follows:
s10: all the devices are obtained and are divided into advanced devices, medium devices and common devices; corresponding to the high-level equipment, the medium equipment and the common equipment, giving security values, and marking the security values as A1, A2 and A3 in sequence, wherein A1 is more than A2 is more than A3 is more than 1;
let c=1, obtain the corresponding H1v;
s20: the average value of H1v is calculated, and marked as average patrol B; acquiring an installation value Az corresponding to the equipment;
s30: calculating the steady value F of H1v 1 ，
S40: corresponding calculation of the inspection risk value R1=Az×B/F 1 ；
S50: c=c+1, obtaining corresponding Hcv, and repeating steps S20-S50 to obtain patrol risk values Rc corresponding to all Hcv, c=1. Rc corresponds one-to-one to Hcv.
2. The integrated management system for power safety production for a power generation enterprise according to claim 1, wherein the controller transmits the high-risk signal to the intelligent device when generating the high-risk signal, and the intelligent device automatically displays the "current production risk factor is high and immediate rectification is required" when receiving the high-risk signal transmitted by the controller.
3. The integrated management system for power generation and production of power enterprises according to claim 1, wherein the controller transmits a regular signal to the intelligent device when generating the regular signal, and the intelligent device automatically displays "the current production risk coefficient is normal and can be maintained" when receiving the regular signal transmitted by the controller.
4. The integrated management system for power generation and power safety production for power generation enterprises according to any one of claims 1, 2 and 3, wherein the smart device is a mobile phone.
5. An integrated management system for power generation and safety production for power generation enterprises according to claim 1, wherein the primary calculation unit is further configured to transmit man-hour information Gij to a database; the output monitoring unit is used for monitoring the total power generation amount in the current month in real time and transmitting the total power generation amount to the accounting unit.
6. The integrated management system for power safety production for a power generation enterprise according to claim 5, wherein the accounting unit is used for carrying out efficiency analysis on the total power generation amount by combining a database, and the specific analysis process is as follows:
s100: marking the total power generation amount as Df;
s200: calculating the power generation efficiency Fx by using a formula; the specific calculation formula is that
S300: transmitting the power generation efficiency Fx to a database for storage, comparing the power generation efficiency of the current month with the power generation efficiency of the previous month, generating an progress signal if the power generation efficiency of the current month is more than or equal to the power generation efficiency of the previous month, and generating a reduction signal if the power generation efficiency of the current month is not more than the power generation efficiency of the previous month;
the accounting unit transmits the progress signal to the controller when generating the progress signal, and the controller automatically transmits the word 'the efficiency of the month is improved by the month' to the intelligent device when receiving the progress signal transmitted by the accounting unit;
the said accounting unit transmits the said lowering signal to the controller when producing the lowering signal, the said controller when receiving the lowering signal that the accounting unit transmits, transmit the word "the efficiency is obviously insufficient than the upper month in the month" to the intelligent device automatically, please adjust the production in time.
7. The integrated management system for power safety production for power generation enterprises according to 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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Citations (4)
| 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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Patent Citations (4)
| 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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