CN115879774A - Wisdom management system based on electric power safety risk - Google Patents
Wisdom management system based on electric power safety risk Download PDFInfo
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- CN115879774A CN115879774A CN202310159084.2A CN202310159084A CN115879774A CN 115879774 A CN115879774 A CN 115879774A CN 202310159084 A CN202310159084 A CN 202310159084A CN 115879774 A CN115879774 A CN 115879774A
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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 intelligent management system based on electric power safety risks, which comprises an operating system, a safety risk management terminal and a safety risk management terminal; wherein the operating system includes: the data acquisition unit is used for acquiring safety information elements such as safety risks, hidden dangers and the like of operation; the safety risk model building module is used for fusing and analyzing the information data in the data acquisition unit according to different elements, building a safety risk model base according to the fused and analyzed data for remotely monitoring the operation field and ensuring the safety of the field operation; the invention relates to the technical field of electric power safety. This wisdom management system based on electric power safety risk is through applying advanced technologies such as artificial intelligence, edge calculation, degree of depth study, intelligent identification, makes the on-the-spot intelligent safety management and control terminal application system of job site software and hardware integral type, with intelligent safety management and control terminal, embedded recognition algorithm, safety risk management and control platform etc. organic integration.
Description
Technical Field
The invention relates to the technical field of electric power safety, in particular to an intelligent management system based on electric power safety risks.
Background
The demand of energy utilization enterprises on electric power shows geometric growth, and higher requirements are provided for infrastructure construction and various service guarantees of the electric power. For a long time, power companies have complex environments in various operation sites, safety measures are difficult to implement, personnel break rules and regulations frequently occur, safety risks are large, operating personnel have multiple points and wide range, operation is frequent, safety supervision difficulty is high, potential safety hazards exist occasionally, dead zones of safety supervision are easy to cause, and therefore personal casualty accidents occur, which threatens personal safety of first-line operating personnel, seriously affects working progress and quality and further affects normal production of electric power. And the stability and the safety of power supply protection of enterprises are seriously threatened. In view of the current actual situation, the safety risk prevention and control on the construction operation site needs to be enhanced urgently, and the occurrence of personal safety accidents is reduced.
At present, the existing application management system of the power company realizes the functions of filling and reporting professional data, counting, examining and approving business and the like, but the intelligent Internet of things sensing means at the terminal side is insufficient, and ready-made operating personnel and working conditions can not be mastered in real time; the data side lacks data deep fusion with other service systems such as scheduling, production, infrastructure, marketing and the like, and certain information barriers exist among the service systems; high-grade applications such as data mining analysis statistics and visual display are lacked on the application side, and work such as strengthening safety real-time perception, risk automatic analysis, abnormal intelligent warning, violation permanent recording, service deepening cooperation and the like is urgently needed, so that the safety control and emergency command capabilities are improved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent management system based on electric power safety risks, and solves the problems that in the prior art, intelligent Internet of things perception means at a terminal side is insufficient, and ready-made operating personnel and working conditions can not be mastered in real time; the data side lacks data deep fusion with other service systems such as scheduling, production, infrastructure, marketing and the like, and certain information barriers exist among the service systems; the problem of high-level application such as data mining analysis statistics and visual display is lacked at the application side.
In order to achieve the purpose, the invention is realized by the following technical scheme: an intelligent management system based on electric power safety risk comprises an operating system and a safety risk management terminal,
the safety risk management terminal is used for remotely monitoring the operation site and ensuring the safety of the site operation;
wherein the operating system includes:
the data acquisition unit is used for acquiring safety information elements such as safety risks, hidden dangers and the like of operation;
the safety risk model building module is used for fusing and analyzing the information data in the data acquisition unit according to different elements and building a safety risk model base according to the fused and analyzed data;
and the safety risk identification module is used for binding the data in the safety risk model library with the operation flow and analyzing and comparing the data in the operation process so as to judge whether the operation has risks.
As a further technical solution, the model establishment of the security risk model establishment module:
wherein, U represents the safety risk index, un is the number of the safety risk indexes, and Unm is the risk level of each safety risk index, and is determined by a specific index system.
As a further technical scheme, the data acquisition unit can acquire safety information elements such as operation scale, operation procedures, the number of persons participating, influence consequences, prevention difficulty and the like.
As a further technical solution, the identification step of the security risk identification module is:
s1, a safety risk identification module receives and stores safety risk model database data in a safety risk model building module;
and S2, monitoring and collecting safety risk factors in the field operation process in real time, comparing and analyzing the safety risk factors with data in a safety risk model library, and judging whether risks exist in the operation in the field operation process.
As a further technical solution, the safety risk management terminal includes a remote monitoring unit for remotely monitoring the field operation, and further includes an alarm unit for alarming the operator and the supervisor when the field operation does not conform to the data in the safety risk model library.
As a further technical scheme, the remote monitoring unit comprehensively applies the technologies of artificial intelligence, edge calculation, data mining, image recognition, deep learning and the like, integrates real-time remote monitoring and realizes the intelligent supervision work of the operation site.
Advantageous effects
The invention provides an intelligent management system based on electric power safety risks. Compared with the prior art, the method has the following beneficial effects:
the intelligent management system based on the electric power safety risks is characterized in that an operation site software and hardware integrated site intelligent safety control terminal application system is manufactured by comprehensively utilizing advanced technologies such as artificial intelligence, edge calculation, deep learning, intelligent identification and mobile interconnection, an intelligent safety control terminal, an embedded identification algorithm, a safety risk control platform, mobile application, a business cooperation mechanism and the like are organically integrated, information streams such as an operation process, personnel, equipment, risks, measures and the like are intelligently generated, collected, matched and alarmed, manual intervention is less, efficiency is high, and interactive, visual, in-place, rapid and lightweight operation process and risk identification are achieved.
Drawings
Fig. 1 is a schematic block diagram provided by an intelligent management system based on electric power security risk according to the present invention.
In the figure: 1. an operating system; 100. a data acquisition unit; 110. a security risk model building module; 120. a security risk identification module; 2. a security risk management terminal; 200. a remote monitoring unit; 210. and an alarm unit.
Description of the preferred embodiment
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.
Examples
Referring to fig. 1, the present invention provides a technical solution: the intelligent management system based on the electric power safety risk comprises an operating system 1 and a safety risk management terminal 2, wherein the safety risk management terminal 2 is used for remotely supervising an operating site to ensure the safety of site operation; preferably, the security risk management terminal 2 includes a remote monitoring unit 200 for remotely supervising the field work; preferably, the remote monitoring unit 200 comprehensively applies technologies such as artificial intelligence, edge calculation, data mining, image recognition, deep learning and the like, integrates real-time remote monitoring, and realizes intelligent supervision work of an operation site, so that the operation of the site operation is intelligently supervised in real time, risk potential hazards are recognized, and operators and supervisors are early warned in advance; the safety risk management terminal 2 further includes an alarm unit 210 for alarming operators and supervisors when the data in the field operation and safety risk model library do not match, so as to ensure the standard and safety of the field operation.
The work system 1 includes:
the data acquisition unit 100 is used for acquiring safety information elements such as safety risks and hidden dangers of operation; as a further technical solution, the data acquisition unit 100 can acquire security information elements such as operation scale, operation procedures, number of people participating in the operation, influence on results, and prevention difficulty;
a security risk model building module 110, configured to fuse and analyze information data in the data acquisition unit 100 according to different elements, and build a security risk model base according to the fused and analyzed data;
wherein, the model establishment of the security risk model establishment module 110:
u represents the safety risk index, un represents the number of the safety risk indexes, and Unm represents the risk level of each safety risk index and is determined by a specific index system.
According to the safety risk model base, data comparison and analysis are carried out by using a data comparison algorithm, intelligent identification of operation risk points and hidden dangers is achieved, risk point information and operation flow are bound when field operation is carried out aiming at specific risk points, safety and risk verification are carried out by using voice for each step of operation in the field operation process by using the risk point information, when field operation and risk point formulation measures are not accordant, warning is provided, intelligent identification of power grid safety risks is achieved, and support is provided for management and control of the hidden dangers.
The security risk identification module 120 binds the data in the security risk model library with the job flow, and analyzes and compares the data with the job flow in the job process, so as to determine whether the job has a risk.
Examples
Referring to fig. 1, the present invention provides another technical solution: the intelligent management system based on the electric power safety risk comprises an operating system 1 and a safety risk management terminal 2, wherein the safety risk management terminal 2 is used for remotely supervising an operating site to ensure the safety of site operation; preferably, the security risk management terminal 2 includes a remote monitoring unit 200 for remotely supervising the field work; preferably, the remote monitoring unit 200 comprehensively applies technologies such as artificial intelligence, edge calculation, data mining, image recognition, deep learning and the like, integrates real-time remote monitoring, and realizes intelligent supervision work of an operation site, so that the operation of the site operation is intelligently supervised in real time, and risk hazards are intelligently recognized; the safety risk management terminal 2 further includes a warning unit 210 for warning operators and supervisors when the field operation does not conform to the data in the safety risk model library, and by this arrangement, the operators and supervisors can be warned in advance, and the specification and safety of the field operation can be ensured.
According to the safety risk model base, data comparison and analysis are carried out by using a data comparison algorithm, intelligent identification of operation risk points and hidden dangers is achieved, risk point information and operation flow are bound when field operation is carried out aiming at specific risk points, safety and risk verification are carried out by using voice for each operation in the field operation process by using the risk point information in the operation process, when field operation and risk point formulation measures are not accordant, a warning is provided, intelligent identification of power grid safety risks is achieved, and support is provided for management and control of the hidden dangers.
The work system 1 includes:
the data acquisition unit 100 is used for acquiring safety information elements such as safety risks, hidden dangers and the like of operation; as a further technical scheme, the data acquisition unit 100 can acquire safety information elements such as operation scale, operation procedures, number of people participating, influence consequences, prevention difficulty and the like;
the security risk model building module 110 is configured to fuse and analyze information data in the data acquisition unit 100 according to different elements, and build a security risk model library according to the fused and analyzed data. The method comprises the steps of comprehensively collecting information safety elements such as operation safety risks, hidden dangers and the like, fusing and analyzing collected data according to the elements such as operation scale, operation procedures, the number of persons participating, influence consequences, prevention difficulty and the like by adopting an artificial intelligence algorithm, and establishing an enterprise-level safety risk grading evaluation model, namely a safety risk model library.
Wherein, the model establishment of the security risk model establishment module 110:
u represents the safety risk index, un represents the number of the safety risk indexes, and Unm represents the risk level of each safety risk index and is determined by a specific index system.
The security risk identification module 120 binds the data in the security risk model library with the job flow, and analyzes and compares the data with the job flow in the job process, so as to determine whether the job has a risk.
The identification steps of the security risk identification module 120 are as follows:
s1, a security risk identification module 120 receives and stores security risk model database data in a security risk model building module 110;
and S2, monitoring and collecting safety risk factors in the field operation process in real time, comparing and analyzing the safety risk factors with data in a safety risk model library, and judging whether risks exist in the operation in the field operation process.
The basis for judging whether risks exist in the operation process in the step S2 is as follows: comparing and analyzing the monitored operation with data in a safety risk model library, and if the monitored operation is consistent with the data in the safety risk model library or the data in the safety risk model library is higher in correlation degree, indicating that the operation in the operation process is safe; and if the monitored operation does not accord with the data in the safety risk model base or the correlation degree is low, indicating that the operation in the operation process has risk.
In step S2, the method for comparing and analyzing the monitored operation process of the field operation with the data in the safety risk model library includes: recording the monitored operation of the field operation as X, recording the safety risk elements in the safety risk model library as Y, measuring the linear correlation degree between the two by using a Pearson correlation coefficient, wherein the correlation degree is expressed as rho, and the expression of the rho is as follows:
where the value of p is between-1 and 1, and takes 1 and 1. If rho is closer to 1, the positive correlation degree of the variable X and the variable Y is higher; when rho is equal to 1, the variable X and the variable Y are completely positively correlated; if rho is closer to-1, the more negative correlation degree between the variable X and the variable Y is described; when rho is equal to-1, the variable X and the variable Y are completely inversely related; if ρ is 0, it is stated that the variable X and the variable Y are completely uncorrelated.
And those not described in detail in this specification are well within the skill of the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. Wisdom management system based on electric power safety risk, its characterized in that: the intelligent management system based on electric power safety risk comprises an operating system (1) and a safety risk management terminal (2),
the safety risk management terminal (2) is used for remotely monitoring an operation site and ensuring the safety of site operation;
wherein the work system (1) comprises:
the data acquisition unit (100) is used for acquiring safety information elements such as safety risks and hidden dangers of operation;
the safety risk model building module (110) is used for fusing and analyzing the information data in the data acquisition unit (100) according to different elements and building a safety risk model base according to the fused and analyzed data;
and the safety risk identification module (120) is used for binding the data in the safety risk model base with the job flow and analyzing and comparing the data in the process of the job so as to judge whether the job has risks.
2. The intelligent management system based on electric power safety risk according to claim 1, characterized in that: modeling of the security risk model building module (110):
wherein, U represents the safety risk index, un is the number of the safety risk indexes, and Unm is the risk level of each safety risk index, and is determined by a specific index system.
3. The intelligent management system based on electric power safety risk according to claim 1, characterized in that: the data acquisition unit (100) can acquire safety information elements such as operation scale, operation procedures, the number of persons participating in the operation, influence results, prevention difficulty and the like.
4. The intelligent management system based on electric power safety risk according to claim 1, characterized in that: the identification steps of the security risk identification module (120) are as follows:
s1, a security risk identification module (120) receives and stores security risk model database data in the security risk model building module (110);
and S2, monitoring and collecting safety risk factors in the field operation process in real time, comparing and analyzing the safety risk factors with data in a safety risk model library, and judging whether risks exist in the operation in the field operation process.
5. The intelligent management system based on electric power safety risk according to claim 1, characterized in that: the safety risk management terminal (2) comprises a remote monitoring unit (200) for remotely monitoring the field operation, and further comprises an alarming unit (210) for alarming an operator and a supervisor when the field operation does not accord with the data in the safety risk model library.
6. The intelligent management system based on electric power safety risk according to claim 5, characterized in that: the remote monitoring unit (200) comprehensively applies the technologies of artificial intelligence, edge calculation, data mining, image recognition, deep learning and the like, integrates real-time remote monitoring and realizes intelligent supervision work of an operation site.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101374051A (en) * | 2008-08-22 | 2009-02-25 | 中国航天科工集团第二研究院七○六所 | Method for evaluating information system risk base on multi-element fusion |
| US20190305589A1 (en) * | 2016-11-10 | 2019-10-03 | China Electric Power Research Institute Company Limited | Distribution network risk identification system and method and computer storage medium |
| CN113506001A (en) * | 2021-07-15 | 2021-10-15 | 广东电网有限责任公司中山供电局 | Intelligent management and control auxiliary decision method for lean safety risk of operation site |
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- 2023-02-24 CN CN202310159084.2A patent/CN115879774A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101374051A (en) * | 2008-08-22 | 2009-02-25 | 中国航天科工集团第二研究院七○六所 | Method for evaluating information system risk base on multi-element fusion |
| US20190305589A1 (en) * | 2016-11-10 | 2019-10-03 | China Electric Power Research Institute Company Limited | Distribution network risk identification system and method and computer storage medium |
| CN113506001A (en) * | 2021-07-15 | 2021-10-15 | 广东电网有限责任公司中山供电局 | Intelligent management and control auxiliary decision method for lean safety risk of operation site |
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