CN115860979A - Artificial intelligence management system for field operation of power grid - Google Patents
Artificial intelligence management system for field operation of power grid Download PDFInfo
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- CN115860979A CN115860979A CN202211497856.5A CN202211497856A CN115860979A CN 115860979 A CN115860979 A CN 115860979A CN 202211497856 A CN202211497856 A CN 202211497856A CN 115860979 A CN115860979 A CN 115860979A
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Abstract
An artificial intelligence management system for field operation of a power grid comprises an operation server, a plurality of mobile terminals loaded with APPs, a face recognition attendance machine, an electronic fence device and a plurality of image acquisition devices, wherein an image acquisition module is used for acquiring operation image data and positioning data, and meanwhile managers check the operation conditions of all construction sites through the positioning data; the 5G communication module is used for transmitting image data to the operation server in a data transmission mode, the operation server judges violation through a machine vision technology, and the operation server is connected with the face recognition attendance machine to perform on-site attendance card punching. The artificial intelligence management system is applied to a construction site in the power industry, and whether a worker works according to the regulations or not is determined by acquiring images of an operation site, and performing behavior analysis, tracking and judgment.
Description
Technical Field
The invention belongs to the technical field of electric power operation monitoring, and particularly relates to an artificial intelligence management system for field operation of an electric power grid.
Background
The electric field operation is an operation of overhauling or maintaining the electric equipment by workers. In a traditional electric power field operation mode, a detailed plan is usually made before operation, the operation is performed according to the plan strictly in the execution process, an operator is required to have a high operation level, and the handling capacity is high when sudden problems occur.
The site of the electric power field operation is complicated and the operation point is too wide, so that the safe operation of the field constructor is difficult to control. The existing monitoring device only monitors the position and the residence time of a worker, cannot analyze specific operation, does not have the functions of prompting and alarming, and is inconvenient for carrying out flow, standardization and electronization management on field operation.
Chinese patent CN113705836A "a system and apparatus for grid field operation guidance" discloses a system for grid field operation guidance, which includes a data acquisition module, a guidance scheme generation module, a guidance scheme display module, a monitoring module and an alarm module. The method can effectively guide the actual situation of the power grid field operation, and meets the requirement of the power grid field operation. But it also has some disadvantages, such as unable to actively send prompt warning information in real time; the method has no self-learning capability, and can not identify new conditions in the electric power construction process in time; the recognition accuracy is greatly influenced by the environmental conditions such as light rays and the like; it can be implemented only in areas where wide bands are laid.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides an artificial intelligence management system for field operation of a power grid, which is used for determining whether a worker operates according to the regulations by acquiring images of an operation field and performing behavior analysis, tracking and judgment through an operation server. The main characteristics of the method include: the image acquisition end has infrared, night vision and anti-interference capabilities, and the system can work normally under the conditions of insufficient light such as cloudy days, night and the like; the system adopts an artificial intelligence algorithm, the recognition model has learning ability, can be self-trained and self-improved, data generated in the system operation process can automatically supplement a training database and serve as a new training sample, and the model can continuously improve the accuracy and the recognition range of the model according to continuously abundant sample data.
The invention adopts the following technical scheme.
An artificial intelligence management system for the field operation of an electric power grid,
the system comprises an operation server, a plurality of mobile terminals loaded with APPs, a face recognition attendance machine, an electronic fence device and a plurality of image acquisition devices, wherein each image acquisition device comprises an image acquisition module, a voice module, a 5G communication module, a processor module, a positioning module, an intercom module and a power supply module, the image acquisition modules, the voice module, the 5G communication module, the positioning module, the intercom module and the power supply module are all connected with the processor module, and the image acquisition modules are used for acquiring operation image data of operators;
the voice module is used for playing prompt voice;
the 5G communication module is used for sending the image data to the operation server, the operation server is used for carrying out violation judgment, and the operation server is connected with the face recognition attendance machine and the electronic fence device.
Preferably, the violation determination specifically includes:
the image acquisition device is bound with a corresponding mobile terminal, and an operation image is acquired through an image acquisition module;
transmitting the image data to an arithmetic processor through the 5G communication module, preprocessing the operation image by the arithmetic processor, acquiring the information of each pixel unit of the operation image, sequentially comparing the information with the standard operation image in category, and judging the operation type;
carrying out image segmentation on the preprocessed operation image, extracting a characteristic image, and judging the on-site violation and violation states;
when violation or violation is detected, recording violation time, violation types and violation pictures, enabling the operation server to generate an instruction to the processor module through the 5G communication module, enabling the processor module to play prompt voice through the voice module, and giving a warning;
the violation time, the violation type and the violation picture are stored through the operation server, the violation time, the violation type and the violation picture are obtained through the mobile terminal, and other people check violation data through the mobile terminal to which the other people belong.
Preferably, the staff binds the site, associates the work tickets, checks violation data or site data and signs in and checks the card-punching condition through the mobile terminal loaded with the APP, and checks the site operation flow to complete the operation work.
Preferably, the rule for judging the existing goods, personnel and field states in the existing place is generated by analyzing the identified violation information, and a record is generated.
The analysis process of the identified violation information is as follows:
and the image acquisition device uploads the field video data to the operation server.
And the operation server performs frame extraction on the video data, performs screenshot on the image, acquires color information of each pixel unit of the image, and performs brightness conversion, noise point removal and contrast enhancement on the image in sequence.
And performing image segmentation and 3D restoration on the processed image, and pushing the image frame by frame to a behavior recognition model for analysis.
And the system gives an alarm for the model identification result.
Preferably, the electronic fence device comprises a plurality of electronic fence hosts fixed at the edge of a site, and the electronic fence hosts are communicated with the operation server.
The invention has the advantages that compared with the prior art,
1. by collecting images of an operation site and performing behavior analysis, tracking and judgment, whether workers operate according to regulations or not is determined, irregular construction behaviors are found in time, and illegal operations of the workers can be corrected in time.
2. The image acquisition device and the mobile terminal are communicated with the operation server, so that the operation data can be conveniently stored and checked, and the management is convenient.
3. The traditional monitoring system usually adopts simple image contrast for judgment or completely depends on algorithm identification integrated by a camera, and the algorithm is a general algorithm and has no pertinence, so that the system has the defects of low accuracy and high false alarm rate. The system adopts a background independent analysis mode, uses a self-developed algorithm, aims at the characteristics of outdoor operation scenes, and utilizes an artificial intelligent neural network algorithm to carry out a large amount of data training, thereby improving the system identification accuracy to the maximum extent, reducing the false alarm rate of identification and improving the reliability of the system.
Drawings
FIG. 1 is a schematic diagram of an artificial intelligence management system for field operation of an electric power grid according to the present invention;
fig. 2 is a flowchart of the violation determination of the operation server in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described in this application are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step on the basis of the spirit of the present invention are within the scope of protection of the present invention.
An artificial intelligence management system for field operation of a power grid comprises an operation server, a plurality of mobile terminals carrying APP, a face recognition attendance machine, an electronic fence device and a plurality of image acquisition devices, as shown in figure 1. The system is logically divided into a data acquisition module, an image processing module, a behavior recognition module, a machine training module, an information warning module and a statistical analysis module. The data acquisition module acquires outdoor field data in real time by using equipment such as a mobile terminal, an image acquisition device, a face recognition attendance machine, an electronic fence and the like; the image processing module is responsible for processing video frames, denoising and the like, and inputting the video frames, denoising and the like into the recognition model; the behavior recognition module is responsible for extracting features of input image data, analyzing the features by adopting an artificial intelligent neural network algorithm and judging whether violation behaviors occur or not; the machine training module is responsible for training the model so as to continuously improve the recognition precision; the information alarm module is responsible for pushing the illegal behaviors identified by the system in real time; and the statistical analysis module is responsible for classifying and counting the historical data to generate a statistical table and a statistical chart which are used as data support for leadership decision making.
The image acquisition device is fixed on the body of corresponding operating personnel or fixed at the installation position for the image acquisition device can gather operating personnel's operation image, the image acquisition device includes image acquisition module, voice module, 5G communication module, processor module, orientation module, talkback module and power module, the image acquisition module the voice module 5G communication module the orientation module talkback the module and power module all with the processor module is connected.
The positioning module is used for acquiring position data of an operator, and the position of the operator can be conveniently checked.
The talkback module has the functions of early warning, shouting, talkback and the like, and is convenient for managers and operators to communicate.
The image acquisition module is used for acquiring operation image data of an operator, and because the outdoor operation field environment is poor, the operation conditions are different, the influence of weather, night, angles and the like is large, certain difficulty is brought to video acquisition, and therefore the image acquisition module adopts a high-end intelligent camera and has the high performance of infrared, night vision, interference resistance and the like.
The voice module is used for playing prompt voice.
The 5G communication module is used for sending image data to the operation server, most construction sites are located in outdoor or temporary places and do not have pre-erected broadband coverage, the 5G communication module is used for solving the problem of data transmission, the operation server is used for carrying out violation judgment, the operation server adopts a micro-service framework, the system performance is improved, and the performance problem of simultaneous operation of multiple scenes is solved.
The operation server is connected with the electronic fence device. A virtual fence is defined for a construction site through the electronic fence device, and when a stranger breaks into the fence, the virtual fence is timely identified and gives an alarm.
The operation server is connected with the face recognition attendance machine and has a face brushing attendance function, and when field workers enter and exit a construction field, the face recognition is automatically carried out, the identity of the workers is recognized, and attendance checking results are recorded. Meanwhile, the attendance checking method can also acquire face information through attendance software in the mobile terminal to check the attendance by punching the card.
The operation server adopts a computer vision technology to enable the operation server to have an identification function, can accurately identify the situation of site occurrence, and timely sends out early warning information, and as shown in fig. 2, the violation judgment specifically comprises the following steps:
step 1, the image acquisition device is bound with a corresponding mobile terminal, and operation image acquisition is carried out through an image acquisition module. The mobile terminal carrying the APP binds the site, associates the work ticket, checks violation data or site data and checks the signing and card-punching conditions, and checks the site operation flow to finish the operation work.
And 2, transmitting the image data to an operation processor through the 5G communication module, preprocessing the operation image by the operation processor, acquiring information of each pixel unit of the operation image, sequentially comparing the information with the standard operation image in category, and judging the operation type.
And 3, carrying out image segmentation on the preprocessed operation image, extracting a characteristic image, and judging the on-site violation and violation states. And generating judgment rules of the existing articles, personnel and field states in the existing places and generating records. And judging the site violation and violation state. The identification content comprises whether the insulated shoes, the insulated gloves, the work clothes, the safety helmets and the like are worn correctly, and whether the safety belts, the safety ropes, the ladders and the like are used correctly. Whether smoking, high altitude throwing and other phenomena occur, whether fire fighting facilities are configured completely, placed reasonably and the like.
And 4, when violation or violation is detected, recording violation time, violation type and violation picture, generating an instruction to the processor module by the operation server through the 5G communication module, and playing a prompt voice by the processor module through the voice module to warn.
And 5, storing the violation time, the violation type and the violation picture through the operation server, acquiring the violation time, the violation type and the violation picture through the mobile terminal, and checking violation data through other personnel through the mobile terminal to which the other personnel belong.
The electronic fence device comprises a plurality of electronic fence hosts fixed on the edges of a site, the electronic fence hosts are communicated with the operation server to define virtual fences for the construction site, and when a stranger breaks into the fences, the system timely identifies and gives an alarm.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer-readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. An artificial intelligence management system for field operation of a power grid comprises an operation server, a plurality of mobile terminals loaded with APPs, a face recognition attendance machine, an electronic fence device and a plurality of image acquisition devices; the method is characterized in that:
the image acquisition device comprises an image acquisition module, a voice module, a 5G communication module, a processor module, a positioning module, an intercom module and a power supply module, wherein the image acquisition module, the voice module, the 5G communication module, the positioning module, the intercom module and the power supply module are all connected with the processor module; the image acquisition module is used for acquiring operation image data of an operator; the voice module is used for playing prompt voice; the 5G communication module is used for sending the image data to the operation server, and the operation server carries out violation judgment and analyzes the identified violation information; the operation server is connected with the face recognition attendance machine and the electronic fence device.
2. The system according to claim 1, wherein the violation determination specifically comprises:
the image acquisition device is bound with a corresponding mobile terminal, and an operation image is acquired through an image acquisition module;
transmitting the image data to an arithmetic processor through the 5G communication module, preprocessing the operation image by the arithmetic processor, acquiring the information of each pixel unit of the operation image, sequentially comparing the information with the standard operation image in category, and judging the operation type;
and carrying out image segmentation on the preprocessed operation image, extracting a characteristic image, and judging the on-site violation and violation states.
3. The artificial intelligence management system for electric power grid field operations of claim 2, wherein the determining field violation and violation conditions comprises:
when violation or violation is detected, recording violation time, violation types and violation pictures, enabling the operation server to generate an instruction to the processor module through the 5G communication module, enabling the processor module to play prompt voice through the voice module, and giving a warning;
the violation time, the violation type and the violation picture are stored through the operation server, the violation time, the violation type and the violation picture are obtained through the mobile terminal, and other people check violation data through the mobile terminal to which the other people belong.
4. The field management system of claim 1, wherein: the staff binds the scene through the mobile terminal who carries with APP, associates the work ticket, looks over violation data or field data and the condition of checking in and checking the operation flow of scene and accomplishes the operation work.
5. The field management system of claim 1, wherein: and analyzing the identified violation information to generate a judgment rule for the existing goods, personnel and field states in the existing place and generate a record.
6. An outdoor job site management system according to claim 5, wherein:
the identification of the on-site articles, the personnel and the on-site state comprises whether insulating shoes, insulating gloves, work clothes, safety helmets and the like are worn correctly or not, and whether safety belts, safety ropes, ladders and the like are used correctly or not. Whether smoking and high-altitude object throwing phenomena occur or not, and whether fire fighting facilities are complete in configuration and reasonable in placement or not.
7. An artificial intelligence management system for electric power grid field operations as claimed in claim 5, wherein:
the analysis process of the identified violation information is as follows:
the image acquisition device uploads the field video data to the operation server;
the operation server performs frame extraction on the video data, performs screenshot on the image, acquires color information of each pixel unit of the image, and performs brightness conversion, noise point removal and contrast enhancement on the image in sequence;
performing image segmentation and 3D restoration on the processed image, and pushing the image frame by frame to a behavior recognition model for analysis;
and the system alarms the model identification result.
8. The field management system of claim 1, wherein: the electronic fence device comprises a plurality of electronic fence hosts fixed on the edge of a site, and the electronic fence hosts are communicated with the operation server.
9. A terminal comprising a processor and a storage medium; the method is characterized in that:
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 8.
10. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117115755B (en) * | 2023-10-23 | 2024-01-23 | 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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