CN112927464A - Job site macro-chain safety management and control system based on edge intelligence - Google Patents
Job site macro-chain safety management and control system based on edge intelligence Download PDFInfo
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Abstract
The invention discloses an operation site macro-chain safety control system based on edge intelligence, which comprises an application layer unit, a platform layer unit, a network layer unit, a sensing layer unit and a data source unit, wherein the application layer unit is electrically connected with the platform layer unit, the platform layer unit is electrically connected with the network layer unit, the network layer unit is electrically connected with the sensing layer unit, and the application layer unit comprises an intelligent security module, an intelligent inspection module, an intelligent transportation module and an operation risk safety control module; according to the invention, the visual image data of the sensing layer unit is analyzed and processed in real time mainly through the edge intelligent device, so that equipment faults and defects existing in the visual image and behavior loss of field operators are detected rapidly, electric equipment with the defects and the loss operators are alarmed in time, and the identified result and part of the visual image are uploaded to the cloud computing center, so that the transmission delay is reduced, and the risk early warning real-time efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of electric power safety production risk management and control, and particularly relates to an operation site macro-chain safety management and control system based on edge intelligence.
Background
In the actual production of electric power, a back-end server analysis mode, namely a centralized cloud computing mode, is mainly adopted. In the centralized cloud computing mode, all visual data are uploaded to a cloud computing center through network communication, the visual data are stored and analyzed by using the powerful computing capability of the cloud computing center, and visual images are identified and state sensed through deep learning technologies such as target detection, semantic segmentation and target tracking, and the technologies are practiced and applied in a plurality of power application scenes such as power transmission line defect detection, substation equipment identification and field operation personnel safety wearing detection. The result shows that the electric power intelligent vision method based on the centralized cloud computing mode has higher detection precision, higher processing speed and strong generalization capability, and has been applied to national and south networks to a certain extent.
However, in the prior art, although the intelligent video analysis based on the back-end server can provide a rich application surface based on a strong analysis and calculation capability, considering that the time delay generated in the whole calculation process is long, the time delay from the generation of the video acquisition to the generation of the analysis result to the generation of the alarm feedback needs to be 6-10 seconds in the whole process period, and the practical scenes with high requirements on the time ductility, such as field operation safety risk management and control, are difficult to play a good value in the actual production.
Therefore, the macro-chain safety control system based on the edge intelligence for the operation site is provided for solving the problems in the prior art, the power vision data of the sensing terminal is processed closer to the terminal side where the data are generated through the edge computing mode, the bandwidth and time delay of cloud computing data uploading are avoided, the analysis reasoning time delay of a power intelligence vision model is reduced, the response and processing speed is higher, and the data storage pressure of a cloud computing center can be greatly reduced.
Disclosure of Invention
The invention aims to provide an operation site macro-chain safety control system based on edge intelligence, which aims to solve the problems that the intelligent video analysis based on a back-end server in the prior art is difficult to play a good value in actual production, and meanwhile, the analysis mode based on the back-end server needs to occupy a large amount of calculation and storage resources, so that the requirements of business on comprehensive perception and efficient collaboration cannot be met.
In order to achieve the purpose, the invention adopts the following technical scheme:
an operation site macro-chain safety control system based on edge intelligence comprises an application layer unit, a platform layer unit, a network layer unit, a sensing layer unit and a data source unit, wherein the application layer unit is electrically connected with the platform layer unit, the platform layer unit is electrically connected with the network layer unit, the network layer unit is electrically connected with the sensing layer unit, the sensing layer unit is electrically connected with the data source unit, the application layer unit comprises an intelligent security module, an intelligent inspection module, an intelligent transportation module and an operation risk safety control module, the platform layer unit comprises an electric power data center module, an equipment physical association management platform module, a block chain service platform module and an intelligent visual service open platform module, the network layer unit comprises a block chain network and service facilities, and the sensing layer unit comprises edge intelligent equipment and a sensing terminal, the data source unit comprises an equipment recognition module, a behavior recognition module and a face recognition module.
Preferably, the application layer unit is used for high-order data analysis and service management, and realizes the standardized calling of an algorithm module by using big data and artificial intelligence technology, thereby completing the functions of real-time monitoring of equipment state, real-time control of an intelligent sensing terminal and intelligent inspection task management.
Preferably, the network layer unit is a block chain network and a service facility constructed based on a wireless private power network and a fiber optic power network, and completes trusted data storage, safe and reliable transmission and trusted data sharing of power data.
Preferably, the sensing layer unit mainly completes the state sensing of the electrical equipment, the operation personnel and the behavior visual influence acquisition and the operation environment, electric power visual images sensed by the terminal are uploaded to the edge intelligent equipment, and the edge intelligent equipment completes the functions of automatic allocation of sensing terminal image processing tasks, uploading of calculation processing of the visual images, transmission of intelligent analysis results, synchronous credible evidence storage of block chain operation data and coordination with a de-terminal.
Preferably, the power data center module is used for completing storage and query of service data; the equipment Internet of things management platform module is used for realizing management, cooperation and monitoring of various sensing equipment and realizing open access and mass data storage of multi-source heterogeneous data.
Preferably, the block chain service platform module is used for completing network, service and API treatment of a block chain underlying network, and the intelligent visual service open platform module is used for completing training, compression, optimization and edge issuing of an intelligent visual algorithm model.
Preferably, the perception terminal includes unmanned aerial vehicle, robot, terminal equipment, fixed camera and removal camera, the perception terminal is used for perception and data acquisition to the visual image.
Preferably, the edge intelligent device is composed of an industrial computer, an intelligent algorithm accelerator card, a battery, a wireless antenna and a chassis, and is used for analyzing and processing the visual image data of the sensing layer unit in real time, so that equipment faults and defects existing in the visual image and behavior loss of field operating personnel are quickly detected, an alarm is given to the electric equipment with the defects and the operating personnel with the loss, and the identified result and part of the visual image are uploaded to the cloud computing center.
Preferably, the equipment identification module comprises a GIS, a main transformer, a secondary device and a switch cabinet, the behavior identification module comprises a tower, hardware fittings, a power transmission line and an insulator, and the face identification module comprises personnel identity, personnel wearing, operation appliances, operation behaviors and an operation range.
Preferably, the equipment identification module is used for identifying the on-off state of the equipment and the state of the disconnecting link of the equipment, the behavior identification module is used for carrying out violation identification on the safety tool and the incorrect installation of safety measures, and the face identification module is used for identifying the identity of an operator.
Compared with the prior art, the macro-chain safety management and control system based on the edge intelligence in the operation field has the following advantages:
according to the invention, edge intelligent equipment is mainly carried on a perception terminal, and visual image data of a perception layer unit is analyzed and processed in real time through the edge intelligent equipment, so that equipment faults and defects existing in visual images and behavior loss of field operators are rapidly detected, electric power equipment with the defects and the lost operators are alarmed in time, and the identified results and part of the visual images are uploaded to a cloud computing center, so that on one hand, transmission delay is reduced, risk early warning real-time efficiency is improved, on the other hand, only pictures and short videos after analysis and calculation are stored at the rear end, and the storage scale is reduced on the basis of forming necessary elements for operation audit; and the safety risk management and control management of the whole operation process is promoted to fall to the ground by combining the real-time early warning of the front-end operation field and the storage of the necessary operation audit materials at the rear end.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a block diagram of a sense layer unit of the present invention;
fig. 3 is a block diagram of a data source unit of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. 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.
The invention provides an operation site macro-chain safety management and control system based on edge intelligence, which comprises an application layer unit, a platform layer unit, a network layer unit, a sensing layer unit and a data source unit, wherein the application layer unit is electrically connected with the platform layer unit;
the application layer unit is used for high-order data analysis and service management, standardized calling of the algorithm module is realized by using big data and artificial intelligence technology, and the functions of real-time monitoring of equipment state, real-time control of an intelligent sensing terminal and intelligent inspection task management are completed;
the platform layer unit comprises an electric power data center module, an equipment internet of things management platform module, a block chain service platform module and an intelligent visual service open platform module, wherein the electric power data center module is used for storing and inquiring business data; the device Internet of things management platform module is used for realizing management, cooperation and monitoring of various sensing devices and realizing open access and mass data storage of multi-source heterogeneous data; the block chain service platform module is used for finishing network, service and API treatment of a block chain underlying network, and the intelligent visual service open platform module is used for finishing training, compression, optimization and edge issuing of an intelligent visual algorithm model;
the network layer unit comprises a block chain network and a service facility, and the network layer unit is the block chain network and the service facility constructed based on the electric wireless private network and the electric optical fiber network and is used for finishing trusted data storage, safe and reliable transmission and trusted data sharing of electric power data;
the sensing layer unit mainly completes state sensing of electrical equipment, operation personnel and behavior visual influence acquisition and an operation environment, electric power visual images sensed by the terminal are uploaded to the edge intelligent equipment, and the edge intelligent equipment completes automatic allocation of sensing terminal image processing tasks, calculation processing of uploading visual images, transmission of intelligent analysis results, synchronous credible storage of block chain operation data and functions of coordination with a de-terminal;
the sensing terminal comprises an unmanned aerial vehicle, a robot, terminal equipment, a fixed camera and a mobile camera, and is used for sensing visual images and acquiring data;
the edge intelligent device consists of an industrial computer, an intelligent algorithm accelerator card, a battery, a wireless antenna and a case, and is used for analyzing and processing visual image data of the sensing layer unit in real time, so that equipment faults and defects existing in the visual image and behavior loss of field operators are quickly detected, an alarm is given to power equipment with the defects and the loss operators in time, and the identified results and part of the visual image are uploaded to the cloud computing center;
the data source unit comprises an equipment identification module, a behavior identification module and a face identification module, the equipment identification module comprises a GIS, a main transformer, a secondary device and a switch cabinet, the equipment identification module is used for identifying the on-off state of the equipment and the state of an equipment disconnecting link, the identification of the on-off state of the equipment mainly identifies the mechanical positions of various circuit breakers and indicates the on-off positions, and the identification of the state of the equipment disconnecting link mainly identifies the on-off positions of various disconnecting links and the moving and static contacts of a grounding disconnecting link; the behavior identification module comprises a pole tower, a hardware fitting, a power transmission line and an insulator, the behavior identification module is used for carrying out violation identification on the safety tool and the safety measure is not correctly installed, the violation identification on the safety tool and the safety measure is mainly used for identifying whether safety tools such as a safety belt, an insulating glove, a grounding wire, an electroscope and a safety helmet are correctly used in a compliance mode, and the violation identification is not correctly installed on the safety measure and is mainly used for identifying whether safety measures such as the upper end and the lower end of the grounding wire, a signboard and a fence net are correctly installed; the face recognition module comprises personnel identities, personnel dresses, operation appliances, operation behaviors and an operation range, and the face recognition module is used for recognizing the identities of the operation personnel and comprises face recognition, falling recognition, limb recognition, mask wearing recognition and dress wearing recognition.
It should be noted that the requirements of the edge intelligent device for satisfying the digital safety management and control of the job site are as follows:
A. the power supply is not needed, and the working requirement of 8 hours can be met by the self-contained power supply;
B. the wireless access of the camera and the uplink communication of 4G/5G data need to be solved;
C. industrial level protection for field operations, such as water resistance, fall resistance, impact resistance and lightning strike resistance;
D. the calculation force requirement required by deep learning is met;
E. the weight and size requirements convenient for single people to carry are met;
F. the safety access requirement of the power grid is met;
G. meeting the access requirement with IEF intelligent edge platform, or providing other intelligent edge platform which completes dynamic edge cooperation with edge intelligent equipment;
H. the requirement of accessing a unified video monitoring platform is met;
I. the requirement of at least 1-2 paths of access of the multi-path video cameras is met;
J. the requirement that a plurality of intelligent visual analysis models based on video streaming work simultaneously is met;
K. intelligent visual identification under the mobile camera;
and L, meeting the requirement of transmitting the identification result such as identification alarm, off-range photo and short video back to the safety risk management and control platform.
The working principle is as follows: the visual image data of the sensing layer unit is analyzed and processed in real time through the edge intelligent device, so that equipment faults and defects existing in the visual image and behavior loss of field operators are detected quickly, the power equipment with the defects and the loss operators are alarmed in time, the identified results and part of the visual image are uploaded to a cloud computing center, on one hand, transmission delay is reduced, risk early warning real-time efficiency is improved, on the other hand, only the analyzed and calculated pictures and short videos are stored at the rear end, and the storage scale is reduced on the basis of forming necessary elements for operation audit; and the safety risk management and control management of the whole operation process is promoted to fall to the ground by combining the real-time early warning of the front-end operation field and the storage of the necessary operation audit materials at the rear end.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (10)
1. The job site macro-chain safety management and control system based on edge intelligence comprises an application layer unit, a platform layer unit, a network layer unit, a perception layer unit and a data source unit, and is characterized in that: the utility model discloses a network layer unit, including application layer unit and platform layer unit, platform layer unit and network layer unit electric connection, network layer unit and perception layer unit electric connection, perception layer unit and data source unit electric connection, the application layer unit includes intelligent security module, intelligence module, the module is examined in the intelligence fortune and operation risk safety management and control module, platform layer unit includes electric power data center module, equipment thing allies oneself with management platform module, block chain service platform module and the open platform module of intelligent vision service, the network layer unit includes block chain net and service facility, perception layer unit includes marginal smart machine and perception terminal, the data source unit includes equipment identification module, action identification module and face identification module.
2. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the application layer unit is used for high-order data analysis and service management, and realizes the standardized calling of an algorithm module by using big data and artificial intelligence technology, thereby completing the functions of real-time monitoring of equipment state, real-time control of an intelligent sensing terminal and intelligent inspection task management.
3. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the network layer unit is a block chain network and a service facility constructed based on a wireless private power network and a power optical fiber network, and is used for finishing trusted data storage, safe and reliable transmission and trusted data sharing of power data.
4. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the perception layer unit mainly completes state perception of electric equipment, operation personnel and behavior visual influence collection and an operation environment, electric power visual images perceived through the terminal are uploaded to the edge intelligent equipment, and the edge intelligent equipment completes functions of automatic distribution of perception terminal image processing tasks, uploading calculation processing of the visual images, transmission of intelligent analysis results, synchronous credible evidence storage of block chain operation data and coordination with a de-terminal.
5. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the electric power data center module is used for finishing the storage and query of the service data; the equipment Internet of things management platform module is used for realizing management, cooperation and monitoring of various sensing equipment and realizing open access and mass data storage of multi-source heterogeneous data.
6. The worksite macro-chain safety management and control system based on edge intelligence of claim 5, wherein: the block chain service platform module is used for finishing network, service and API treatment of a block chain underlying network, and the intelligent visual service open platform module is used for finishing training, compression, optimization and edge issuing of an intelligent visual algorithm model.
7. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the perception terminal comprises an unmanned aerial vehicle, a robot, a terminal device, a fixed camera and a mobile camera, and is used for perceiving and collecting data of visual images.
8. The worksite macro-chain safety management and control system based on edge intelligence of claim 7, wherein: the edge intelligent device is composed of an industrial computer, an intelligent algorithm accelerator card, a battery, a wireless antenna and a case, and is used for analyzing and processing visual image data of the sensing layer unit in real time, so that equipment faults and defects existing in the visual image and behavior loss of field operators are quickly detected, an alarm is given to power equipment with the defects and the field operators in time, and the identified results and part of the visual image are uploaded to the cloud computing center.
9. The worksite macro-chain safety management and control system based on edge intelligence of claim 1, wherein: the equipment identification module comprises a GIS, a main transformer, a secondary device and a switch cabinet, the behavior identification module comprises a tower, hardware fittings, a power transmission line and an insulator, and the face identification module comprises personnel identity, personnel wearing, operation appliances, operation behaviors and an operation range.
10. The worksite macro-chain safety management and control system based on edge intelligence of claim 9, wherein: the equipment identification module is used for identifying the on-off state of the equipment and the state of the disconnecting link of the equipment, the behavior identification module is used for carrying out violation identification on the safety tool and the incorrect installation of safety measures, and the face identification module is used for identifying the identity of an operator.
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| CN113610011A (en) * | 2021-09-22 | 2021-11-05 | 国网江苏省电力有限公司太仓市供电分公司 | AI identification system for distribution network operation site personnel management and control |
| CN113705372A (en) * | 2021-08-10 | 2021-11-26 | 国网江苏省电力有限公司太仓市供电分公司 | AI identification system for join in marriage net job site violating regulations |
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| CN117115755A (en) * | 2023-10-23 | 2023-11-24 | 科曼智能科技有限公司 | Power operation site violation monitoring alarm recognition system based on image recognition |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109542057A (en) * | 2018-11-14 | 2019-03-29 | 中国电子工程设计院有限公司 | Novel maintenance model and its construction method based on virtual Machine Architecture |
| CN110071579A (en) * | 2019-06-05 | 2019-07-30 | 国网北京市电力公司 | Power grid power supply based on ubiquitous electric power Internet of Things ensures and intelligent managing and control system |
| KR102042616B1 (en) * | 2019-04-10 | 2019-11-08 | (주)영신디엔씨 | IoT Based Safety Management System of Urban Construction Site |
| CN111698470A (en) * | 2020-06-03 | 2020-09-22 | 河南省民盛安防服务有限公司 | Security video monitoring system based on cloud edge cooperative computing and implementation method thereof |
| CN111784026A (en) * | 2020-05-28 | 2020-10-16 | 国网信通亿力科技有限责任公司 | Cloud-side cooperative sensing-based all-dimensional physical examination system for electrical equipment of transformer substation |
| CN211906170U (en) * | 2020-05-06 | 2020-11-10 | 云南电网有限责任公司信息中心 | Based on electric wire netting field operation data management and control device |
-
2020
- 2020-11-23 CN CN202011319508.XA patent/CN112927464A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109542057A (en) * | 2018-11-14 | 2019-03-29 | 中国电子工程设计院有限公司 | Novel maintenance model and its construction method based on virtual Machine Architecture |
| KR102042616B1 (en) * | 2019-04-10 | 2019-11-08 | (주)영신디엔씨 | IoT Based Safety Management System of Urban Construction Site |
| CN110071579A (en) * | 2019-06-05 | 2019-07-30 | 国网北京市电力公司 | Power grid power supply based on ubiquitous electric power Internet of Things ensures and intelligent managing and control system |
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