CN113610011A - AI identification system for distribution network operation site personnel management and control - Google Patents

AI identification system for distribution network operation site personnel management and control Download PDF

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Publication number
CN113610011A
CN113610011A CN202110914538.3A CN202110914538A CN113610011A CN 113610011 A CN113610011 A CN 113610011A CN 202110914538 A CN202110914538 A CN 202110914538A CN 113610011 A CN113610011 A CN 113610011A
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module
information
personnel
control
operator
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黄国栋
陈俊
马志强
张明
程前
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Taicang Power Supply Branch Of State Grid Jiangsu Electric Power Co ltd
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Taicang Power Supply Branch Of State Grid Jiangsu Electric Power Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Abstract

The invention discloses an AI identification system applied to distribution network operation site personnel management and control, which comprises: the system comprises a face recognition module, an operation field control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module. The scheme adopted by the invention realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, intelligently evaluates the field operation process, establishes a digital evaluation file, and comprehensively improves the management and control efficiency of safe production and the lean management level of construction operation. Therefore, the scheme provided by the invention can effectively manage and control field personnel in real time, and ensure the safety of the field personnel.

Description

AI identification system for distribution network operation site personnel management and control
Technical Field
The invention relates to the technical field of distribution network operation site management, in particular to an AI identification system for personnel management and control of a distribution network operation site.
Background
The Suzhou power supply company implements gridding planning as early as 2013, divides a city distribution network into 1412 grids, takes the grids as basic units, implements the planning of reserve projects, and promotes the construction target of an 'first-class' power grid. In the process of promoting the construction of the target grid frame and the implementation of the project, the implementation environment of the project construction is generally complex, the scope is wide, the number of points is large, the construction period is short, the participation units are large, the qualification of the construction units is different from the qualification of the construction team, and higher requirements are put forward for standardization, specialization and comprehension of the project construction and safety management.
From the aspect of project construction safety management, among the elements of safety production, "people" belongs to the most critical and active factor, and is also the most main factor influencing safety production. Constructors have high mobility and lack safety responsibility consciousness, and the method has the defects of poor understanding and execution of safety work standards and safety measures and poor supervision of violation behaviors, and becomes a working key point for improving field safety management.
Therefore, management and control of personnel at the site of distribution network operation are very important, the mobile video monitoring device is gradually applied to the outdoor operation site in the prior art, all levels of supervision personnel are required to perform anti-violation inspection by watching returned videos in real time or calling stored historical videos at a later stage, some abnormal conditions can be found, a large amount of manpower, energy and material resources are consumed, the possible omission condition can be artificially judged, real-time performance cannot be achieved through artificial monitoring, and the problem of information lag exists.
Disclosure of Invention
The invention provides an AI identification system applied to distribution network operation site personnel management and control, which is used for solving the problems that the omission condition possibly exists in the manual judgment, the real-time performance cannot be realized in the manual monitoring and the information lag exists in the prior art.
The invention provides an AI identification system applied to distribution network operation site personnel management and control, which comprises: the system comprises a face recognition module, an operation field control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module;
the face recognition module is arranged at the entrance and exit position of the distribution network operation site, and whether the entrance and exit personnel are related operation personnel is judged through a face recognition technology;
the information acquisition module acquires image information of different areas of the distribution network operation site; the image information comprises pictures and videos;
the information acquisition module transmits acquired image information to the information calculation and analysis module, the information calculation and analysis module analyzes the image information based on an edge calculation technology and a convolution network model of an attention mechanism, and determines the dressing irregularity problem or the illegal operation behavior of the operator on the distribution network operation site according to an analysis result;
the information calculation and analysis module transmits the dressing non-standard problems or the illegal operation behaviors of the operators on the distribution network operation site to an operation site control platform, the operation site control platform records the dressing non-standard problems or the illegal operation behaviors of the operators, sends the certificates of the dressing non-standard problems or the illegal operation behaviors of the operators to the mobile end of the operators with the dressing non-standard problems or the illegal operation behaviors in a warning mode, and notifies the certificates to the affiliated leaders of the related operators so as to monitor the operators.
Optionally, different areas of the distribution network operation site are respectively provided with different area entry levels;
each zone entrance is provided with a zone entrance management and control module; each of the zones having a different zone entry level;
the zone entrance management and control module includes: the system comprises a region grade setting module, a face acquisition module, a face matching module and a matching database of the information of the operating personnel allowed to enter the related region;
the region grade setting module sets different region entering grades based on different regions; corresponding to areas of different levels, setting operator information allowed to enter in each area, and forming a matching database of the corresponding area according to the operator information allowed to enter in each area;
the face acquisition module acquires face information of an operator, the face matching module performs face matching on the acquired face information and the operator information in the matching database of the corresponding area, if the matching is successful, the corresponding operator is allowed to enter the corresponding area, and if the matching is unsuccessful, the corresponding operator is prompted not to have the authority to enter the area.
Optionally, the area entrance management and control module further includes a gate and a gate control module;
when the area entry level of a certain area reaches or exceeds a preset value, if the face matching module judges that the face matching of the acquired face information and the face of the operator information in the matching database of the corresponding area is successful, the face matching module sends a command for opening a gate to a gate control module, and the gate is opened according to the command to allow the operator to enter; if the matching is unsuccessful, the gate is not opened, and the operator is prohibited from entering the corresponding area.
Optionally, a virtual electronic fence is arranged in a dangerous area of the distribution network operation site; all the operators do not have the authority to enter the virtual electronic fence on the premise of the distribution network operation specification;
arranging infrared monitoring equipment or intelligent identification equipment around the virtual electronic fence;
the infrared monitoring equipment monitors whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an infrared monitoring technology;
the intelligent identification equipment detects whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an artificial intelligent identification technology;
and if the infrared monitoring equipment or the intelligent identification equipment detects that personnel exist around the virtual electronic fence or enter the virtual electronic fence, sending the detected information to the operation field control platform, and sending high-level warning to the corresponding personnel by the operation field control platform.
Optionally, the operation field control platform records violation behaviors and violation times of operators wearing irregular problems or violation behaviors, sets violation levels for corresponding violation personnel according to the violation times, and increases the number of times of information acquisition of the violation personnel by the information acquisition module when the violation levels are higher within a set safety violation level range.
Optionally, the information collecting module includes: the intelligent control system comprises an intelligent control ball, an intelligent safety helmet and an intelligent unmanned aerial vehicle;
when the information acquisition module comprises an intelligent unmanned aerial vehicle, the unmanned aerial vehicle automatically sets a moving stroke according to the position of an operator, and automatically acquires the operators at different angles and the operation behaviors of the operators; the intelligent unmanned aerial vehicle transmits acquired information to the information calculation and analysis module in real time, the information calculation and analysis module analyzes the acquired information in real time, if the problem of irregular dressing or the behavior of illegal operation of an operator is preliminarily judged, an analysis result is fed back to the intelligent unmanned aerial vehicle, the intelligent unmanned aerial vehicle classifies the fed back analysis result to further confirm the specific dressing and behavior of the related operator and sends the further confirmed information to the information calculation and analysis module, and the information calculation and analysis module forms a certificate of the problem of irregular dressing or the behavior of illegal operation of the operator according to the further confirmed information and transmits the certificate to the operation field control platform.
Optionally, the work site management and control platform includes an automatic information sending module;
under the condition that the information automatic sending module is triggered, the operation field control platform automatically sends the certificate of the dressing non-standard problem or the illegal operation behavior of the operator to the mobile end of the operator with the dressing non-standard problem or the illegal operation behavior, and automatically notifies the certificate to the upper leader of the related operator so as to conveniently supervise the operator; after the automatic sending module is triggered, the automatic sending mode of the operation field control platform cannot be manually intervened.
Optionally, the evidence of the dress irregularity problem or the illegal operation behavior of the operator is a video or an image; the job site management and control platform still includes: the system comprises a video processing module, an image processing module and an information integration module;
the video processing module extracts a section with an irregular problem or an illegal operation behavior from the video by processing the voucher video, then encodes and converts the extracted section into character information based on a deep neural network model through a video conversion module in the video processing module, and outputs the character information as a voucher which is finally transmitted to a mobile terminal through an output end of the video processing module;
the image processing module extracts a part with an irregular problem or an illegal operation behavior from the picture by processing the certificate picture, and then the picture conversion module in the image processing module performs coding processing on the extracted part based on a deep neural network model and converts the part into character information, and the character information is used as a certificate which is finally transmitted to a mobile terminal; outputting the text information as a certificate finally transmitted to a mobile terminal through an output end of the image processing module;
the information integration module integrates and outputs the character information output by the video processing module and the image processing module based on a character integration module.
Optionally, the information calculation and analysis module includes an edge calculation module; the edge calculation module analyzes the image information based on an edge calculation technology;
the edge computing module removes redundant information by preprocessing a video image, so that part or all of video analysis is migrated to the edge, the requirements on cloud center computing, storage and network bandwidth are reduced, and the video analysis speed is increased.
Optionally, the face recognition module includes an evidence collection module, an evidence storage module and a collection time recording module, when the face recognition module judges that the personnel entering and leaving the field are non-relevant operating personnel through a face recognition technology, the evidence collection module collects a live face photo, the collection time recording module records the time of collecting the face photo, and the evidence collection module transmits the collected face photo to the evidence storage module; when the demand is verified afterwards, the face photos are called from the evidence storage module and the time for collecting the face photos is called from the collection time recording module so as to verify.
The invention provides an AI identification system applied to distribution network operation site personnel management and control, which adopts the scheme to realize real-time management and control on site operation state, personnel operation behavior and safe civilized construction, intelligently evaluate the site operation process, establish a digital evaluation file and comprehensively improve the safe production management and control efficiency and the lean management level of construction operation. Therefore, the scheme provided by the invention can effectively manage and control field personnel in real time, and ensure the safety of the field personnel.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of an AI identification system applied to personnel management and control in a distribution network operation site in an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an overall method for monitoring violation of a device based on edge computing functionality according to an embodiment of the present invention;
fig. 3 is a flowchart of face recognition in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
an embodiment of the present invention provides an AI identification system applied to distribution network operation site personnel management and control, fig. 1 is a schematic structural diagram of an AI identification system applied to distribution network operation site personnel management and control in an embodiment of the present invention, please refer to fig. 1, and the system includes the following parts:
the system comprises a face recognition module, an operation field control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module;
the face recognition module is arranged at the entrance and exit position of the distribution network operation site, and whether the entrance and exit personnel are related operation personnel is judged through a face recognition technology;
the information acquisition module acquires image information of different areas of the distribution network operation site; the image information comprises pictures and videos;
the information acquisition module transmits acquired image information to the information calculation and analysis module, the information calculation and analysis module analyzes the image information based on an edge calculation technology and a convolution network model of an attention mechanism, and determines the dressing irregularity problem or the illegal operation behavior of the operator on the distribution network operation site according to an analysis result;
the information calculation and analysis module transmits the dressing non-standard problems or the illegal operation behaviors of the operators on the distribution network operation site to an operation site control platform, the operation site control platform records the dressing non-standard problems or the illegal operation behaviors of the operators, sends the certificates of the dressing non-standard problems or the illegal operation behaviors of the operators to the mobile end of the operators with the dressing non-standard problems or the illegal operation behaviors in a warning mode, and notifies the certificates to the affiliated leaders of the related operators so as to monitor the operators.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that a face recognition module, an operation field control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module are arranged; the face recognition module is arranged at the entrance and exit position of the distribution network operation site, and whether the entrance and exit personnel are related operation personnel is judged through a face recognition technology; the information acquisition module acquires image information of different areas of the distribution network operation site; the image information comprises pictures and videos; the information acquisition module transmits acquired image information to the information calculation and analysis module, the information calculation and analysis module analyzes the image information based on an edge calculation technology and a convolution network model of an attention mechanism, and determines the dressing irregularity problem or the illegal operation behavior of the operator on the distribution network operation site according to an analysis result; the information calculation and analysis module transmits the dressing non-standard problems or the illegal operation behaviors of the operators on the distribution network operation site to an operation site control platform, the operation site control platform records the dressing non-standard problems or the illegal operation behaviors of the operators, sends the certificates of the dressing non-standard problems or the illegal operation behaviors of the operators to the mobile end of the operators with the dressing non-standard problems or the illegal operation behaviors in a warning mode, and notifies the certificates to the affiliated leaders of the related operators so as to monitor the operators.
It should be noted that, according to the requirements of "construction standardization, management standardization, team specialization, and cooperative team organization", the system integrates the existing PMS production business system, the business outsourcing safety management and control system, and the safety production operation risk management and control system, and on the basis of the existing operation site video monitoring system, the latest artificial intelligent image recognition technology, visual perception edge calculation technology, and monocular vision ranging technology are applied, so that the real-time management and control of the site operation state, the personnel operation behavior, and the safety civilization construction can be realized, and the safety production management and control efficiency and the lean management level of the construction operation can be improved in all directions.
The project is an edge computing system for identifying the violation behaviors in the operation field, and the deep learning intelligent identification algorithm is deployed to the operation field end by marginalizing a computing platform. When the front-end visual analysis device identifies the violation behaviors, the identification result is transmitted to the back-end server, the conversion from passive monitoring to active early warning is realized, and the network bandwidth and the pressure of the back-end server are greatly reduced. Meanwhile, aiming at the problems of high power consumption, insufficient stock and the like of a video monitoring camera, the edge calculation module is deployed in a conventional ball distribution and control system, an intelligent safety helmet and the like, so that violation identification is realized on the basis of recycling stock monitoring equipment, and the waste of equipment resources is avoided.
Specifically, the violation identification is realized based on the edge computing device, and the typical violation behavior image identification of the power grid operation field is realized; the detection result of the front-end identification device is subjected to refined test and autonomous early warning at the rear end, so that end-to-end identification service is realized, and the pressure of a bandwidth and a rear-end server is reduced.
The convolutional network model based on the attention mechanism realizes standard dressing identification, and the workload of project implementation is mainly focused on applying a deep learning convolutional neural network self-learning technology and implementing a violation behavior detection module. The action recognition technology based on deep learning overcomes the visual angle of operators and the dynamic change of clothes, and accurately positions the human body behavior of the power grid operation video key frame.
Fast push rectification and real-time intervention double combination based on the violation identification server. According to the method, the result of identifying the site violation behaviors is calculated by the edge, the rectification information is pushed to the mobile phone of the site personnel in the back-end server, so that the technology of the Internet of things is interfered in real time in the operation safety construction of the power grid industry, and the corresponding time in the period only needs 1 minute, so that the early discovery and early processing are realized.
And large-area automatic operation and violation identification are realized by using the AI edge calculation of the unmanned aerial vehicle. The unmanned aerial vehicle automatic cruise monitoring technology is used for developing and testing a flight mode of an unmanned aerial vehicle executing program design, so that the unmanned aerial vehicle generates a flight path through existing data and automatically executes a patrol monitoring plan; and transmitting the power grid operation field video acquired by the unmanned aerial vehicle to a rear-end intelligent analysis and detection system in real time by using an automatic unmanned airport and a real-time streaming media transmission protocol.
Fig. 2 is an overall flowchart of violation behaviors of monitoring equipment based on an edge computing function in the embodiment of the present invention, please refer to fig. 2, where an edge computing device is used as a core processor for connecting an engineering construction site and a violation management and control platform, and acquired site monitoring picture/video data of stock video monitoring equipment (stock guns, stock ball machines, stock distribution control balls), video safety caps, unmanned aerial vehicles, etc. are transmitted to the edge computing device for processing, so as to establish a set of front-end video analysis system; and transmitting the front-end analysis result to a rear-end analysis server through the APN/wired public network/wireless public network, realizing refined test and autonomous early warning, and finally uploading the important early warning data to the rear-end server or a violation management and control platform.
For the stock ball distribution and control equipment, the ball distribution and control equipment deployed in the construction and maintenance site is linked to the intelligent edge computing device through wifi, the intelligent edge computing device carries out intelligent identification and analysis on the acquired image, and the image with violation alarm in the site is sent to the back-end platform through 4G through a Nanrui or Puhua encryption chip.
For the guns or the ball machines deployed in the transformer substation, the intelligent edge computing device is accessed through the Ethernet through a transformer substation local area network cabinet, the acquired images are subjected to intelligent identification and analysis, and the pictures with the warning of the violation of the badge on the site are sent to the back-end platform through the intranet.
And the management mode is optimized, and the management and control efficiency is improved. The AI identification system for distribution network operation site violation integrates the management functions of the existing PMS production service system, the service outsourcing safety management system, the safety production operation risk management system and the operation site video monitoring system, changes the previous chain type management state that the project management department and the project management department supervise the operation points layer by layer and guide the operation points by one level into the linear management of the company and the project management department on the same operation site at the same time and different places, and greatly improves the management efficiency.
In addition, the invention can realize intelligent personnel identification based on the face identification module, thereby improving the entrance safety. The AI identification system combines intelligent image analysis and face recognition technology, collects the field information of the operating personnel through a field video device, realizes the face recognition identity authentication of the operating personnel entering and leaving the field, increases the identification of the safety helmet and the dressing standard of the personnel before entering the field, and automatically sends out an alarm in real time for the personnel not in a list library, the safety helmet and the dressing not meeting the standard requirements.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, different areas of the distribution network operation site are respectively provided with different area entry levels;
each zone entrance is provided with a zone entrance management and control module; each of the zones having a different zone entry level;
the zone entrance management and control module includes: the system comprises a region grade setting module, a face acquisition module, a face matching module and a matching database of the information of the operating personnel allowed to enter the related region;
the region grade setting module sets different region entering grades based on different regions; corresponding to areas of different levels, setting operator information allowed to enter in each area, and forming a matching database of the corresponding area according to the operator information allowed to enter in each area;
the face acquisition module acquires face information of an operator, the face matching module performs face matching on the acquired face information and the operator information in the matching database of the corresponding area, if the matching is successful, the corresponding operator is allowed to enter the corresponding area, and if the matching is unsuccessful, the corresponding operator is prompted not to have the authority to enter the area.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that different areas of the distribution network operation site are respectively provided with different area entry levels; each zone entrance is provided with a zone entrance management and control module; each of the zones having a different zone entry level; the zone entrance management and control module includes: the system comprises a region grade setting module, a face acquisition module, a face matching module and a matching database of the information of the operating personnel allowed to enter the related region; the region grade setting module sets different region entering grades based on different regions; corresponding to areas of different levels, setting operator information allowed to enter in each area, and forming a matching database of the corresponding area according to the operator information allowed to enter in each area; the face acquisition module acquires face information of an operator, the face matching module performs face matching on the acquired face information and the operator information in the matching database of the corresponding area, if the matching is successful, the corresponding operator is allowed to enter the corresponding area, and if the matching is unsuccessful, the corresponding operator is prompted not to have the authority to enter the area.
Specifically, through setting up the authority that gets into different regions, further carry out the management and control of system standard to the operation personnel to guarantee site personnel's standardization and security.
Fig. 3 is a flowchart of face recognition in the embodiment of the present invention, and please refer to fig. 3, and face matching is finally completed through face detection, face detection positioning, feature extraction, three-dimensional modeling, and model comparison.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the zone entrance management and control module further comprises a gate and a gate control module;
when the area entry level of a certain area reaches or exceeds a preset value, if the face matching module judges that the face matching of the acquired face information and the face of the operator information in the matching database of the corresponding area is successful, the face matching module sends a command for opening a gate to a gate control module, and the gate is opened according to the command to allow the operator to enter; if the matching is unsuccessful, the gate is not opened, and the operator is prohibited from entering the corresponding area.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the region entrance management and control module further comprises a gate and a gate control module; when the area entry level of a certain area reaches or exceeds a preset value, if the face matching module judges that the face matching of the acquired face information and the face of the operator information in the matching database of the corresponding area is successful, the face matching module sends a command for opening a gate to a gate control module, and the gate is opened according to the command to allow the operator to enter; if the matching is unsuccessful, the gate is not opened, and the operator is prohibited from entering the corresponding area.
Therefore, the arrangement of the gate adopts hardware equipment to strictly manage and control field personnel in certain areas, and the normative and the safety are ensured.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, a virtual electronic fence is arranged in a dangerous area of the distribution network operation site; all the operators do not have the authority to enter the virtual electronic fence on the premise of the distribution network operation specification;
arranging infrared monitoring equipment or intelligent identification equipment around the virtual electronic fence;
the infrared monitoring equipment monitors whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an infrared monitoring technology;
the intelligent identification equipment detects whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an artificial intelligent identification technology;
and if the infrared monitoring equipment or the intelligent identification equipment detects that personnel exist around the virtual electronic fence or enter the virtual electronic fence, sending the detected information to the operation field control platform, and sending high-level warning to the corresponding personnel by the operation field control platform.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that a virtual electronic fence is arranged in a dangerous area of the distribution network operation site; all the operators do not have the authority to enter the virtual electronic fence on the premise of the distribution network operation specification; arranging infrared monitoring equipment or intelligent identification equipment around the virtual electronic fence; the infrared monitoring equipment monitors whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an infrared monitoring technology; the intelligent identification equipment detects whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an artificial intelligent identification technology; and if the infrared monitoring equipment or the intelligent identification equipment detects that personnel exist around the virtual electronic fence or enter the virtual electronic fence, sending the detected information to the operation field control platform, and sending high-level warning to the corresponding personnel by the operation field control platform.
Specifically, based on the video image intelligent analysis technology, a virtual electronic fence is established in a video picture, so that the situation that workers mistakenly enter a surrounding electrified dangerous area and mistakenly touch electrified equipment is avoided, and external personnel approach a construction operation area is avoided.
And the illegal behavior is identified through the front end, and the management and control site is enlarged. The AI identification system adopts the fusion application of the video distribution control ball and the video safety helmet, so that the monitoring range of an operation site is greatly enlarged, and the newly-added artificial intelligent AI edge calculation module is used for carrying out front-end real-time identification judgment and real-time alarm on typical violation behaviors such as safety helmets, personnel dressing, safety belts and safety measures, so that the violation identification timeliness is improved. The front-end identification can effectively reduce redundant video transmission and storage space, greatly reduce the requirements on cloud center calculation, storage and network bandwidth, and improve the video analysis speed.
And (4) intelligently and comprehensively evaluating and standardizing operation behaviors. The intelligent evaluation system carried by the project records the discovered violation behaviors in real time, and identifies and hooks the violation behaviors, constructors and construction units by comparing the violation behaviors with data of a business management system such as production management, operation planning, risk management and control, outsourcing personnel management and the like, so that the intelligent evaluation system provides a powerful basis for companies and construction management departments to master and know the safety condition of field operation in time and comprehensively evaluate and assess the construction units.
Finally, the result of the identification of the site violation behaviors is calculated by the edge, and the rectification information is pushed to the mobile phone of the site personnel in the back-end server, so that the technology of the Internet of things is interfered in real time in the operation safety construction of the power grid industry.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the operation field control platform records the violation behaviors and the violation times of the operators wearing the irregular problems or the violation behaviors, sets violation levels for the corresponding violation personnel according to the violation times, and within the set safety violation level range, the higher the violation level is, the more the information acquisition module acquires the information of the violation personnel.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the operation field control platform records the violation behaviors and the violation times of the operation personnel wearing the irregular problem or the violation operation behavior, the operation field control platform sets violation levels for the corresponding violation personnel according to the violation times, and the higher the violation level is within the set safety violation level range, the more the information acquisition times of the violation personnel are acquired by the information acquisition module.
Therefore, according to the scheme, according to the violation behaviors and the violation times of the operators, the operators who easily have violation operations are subjected to key management and control and supervision, and compared with the management and control of the same level for all the operators, the operators with more violation times are subjected to key supervision through the design with pertinence in the embodiment, so that the behavior of effectively avoiding the violation operations is achieved.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the information collection module comprises: the intelligent control system comprises an intelligent control ball, an intelligent safety helmet and an intelligent unmanned aerial vehicle;
when the information acquisition module comprises an intelligent unmanned aerial vehicle, the unmanned aerial vehicle automatically sets a moving stroke according to the position of an operator, and automatically acquires the operators at different angles and the operation behaviors of the operators; the intelligent unmanned aerial vehicle transmits acquired information to the information calculation and analysis module in real time, the information calculation and analysis module analyzes the acquired information in real time, if the problem of irregular dressing or the behavior of illegal operation of an operator is preliminarily judged, an analysis result is fed back to the intelligent unmanned aerial vehicle, the intelligent unmanned aerial vehicle classifies the fed back analysis result to further confirm the specific dressing and behavior of the related operator and sends the further confirmed information to the information calculation and analysis module, and the information calculation and analysis module forms a certificate of the problem of irregular dressing or the behavior of illegal operation of the operator according to the further confirmed information and transmits the certificate to the operation field control platform.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the information acquisition module comprises: the intelligent control system comprises an intelligent control ball, an intelligent safety helmet and an intelligent unmanned aerial vehicle; when the information acquisition module comprises an intelligent unmanned aerial vehicle, the unmanned aerial vehicle automatically sets a moving stroke according to the position of an operator, and automatically acquires the operators at different angles and the operation behaviors of the operators; the intelligent unmanned aerial vehicle transmits acquired information to the information calculation and analysis module in real time, the information calculation and analysis module analyzes the acquired information in real time, if the problem of irregular dressing or the behavior of illegal operation of an operator is preliminarily judged, an analysis result is fed back to the intelligent unmanned aerial vehicle, the intelligent unmanned aerial vehicle classifies the fed back analysis result to further confirm the specific dressing and behavior of the related operator and sends the further confirmed information to the information calculation and analysis module, and the information calculation and analysis module forms a certificate of the problem of irregular dressing or the behavior of illegal operation of the operator according to the further confirmed information and transmits the certificate to the operation field control platform.
Specifically, intelligent safety helmet possesses the integrated 4G individual soldier safety helmet device of artificial intelligence edge calculation module, can realize on-the-spot video image and gather, through analysis and processing techniques such as spatial localization perception, artificial intelligence, on-the-spot insecurity factor of intelligent identification and the action of violating the regulations and real-time feedback upload rear end server, in time indicate the risk.
The intelligent ball distributing and controlling device is provided with an integrated ball distributing and controlling device with an artificial intelligent edge computing module, can realize field video image acquisition, intelligently identifies field unsafe factors and violation behaviors through analysis and processing technologies such as spatial positioning sensing and artificial intelligence, and feeds back the unsafe factors and the violation behaviors to a rear-end server in real time so as to prompt risks in time.
Intelligent unmanned aerial vehicle possesses the unmanned aerial vehicle of artificial intelligence edge calculation (ground satellite station) module, can realize remote video safety supervision, the discernment violating the regulations in job site to the real-time feedback uploads rear end server, in time points out the risk.
In addition, the application research of the unmanned aerial vehicle AI edge calculation on the large-area operation site violation behaviors is utilized in the scheme, so that the application of the intelligent unmanned aerial vehicle technology in the field of power grid industry operation safety construction violation behaviors identification is further expanded, and the detection efficiency is improved for multi-angle remote interference-free violation detection on the large-area operation site.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the work site management and control platform comprises an information automatic sending module;
under the condition that the information automatic sending module is triggered, the operation field control platform automatically sends the certificate of the dressing non-standard problem or the illegal operation behavior of the operator to the mobile end of the operator with the dressing non-standard problem or the illegal operation behavior, and automatically notifies the certificate to the upper leader of the related operator so as to conveniently supervise the operator; after the automatic sending module is triggered, the automatic sending mode of the operation field control platform cannot be manually intervened.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the operation field control platform comprises an automatic information sending module; under the condition that the information automatic sending module is triggered, the operation field control platform automatically sends the certificate of the dressing non-standard problem or the illegal operation behavior of the operator to the mobile end of the operator with the dressing non-standard problem or the illegal operation behavior, and automatically notifies the certificate to the upper leader of the related operator so as to conveniently supervise the operator; after the automatic sending module is triggered, the automatic sending mode of the operation field control platform cannot be manually intervened.
Specifically, for the violation identification behaviors of the power grid operation field, edge calculation and artificial intelligence are used as core devices. The traditional fixed or mobile camera can be accessed, artificial intelligent edge calculation is realized at the front end of the site, unsafe factors and violation behaviors in the site are intelligently identified, and real-time feedback and uploading to a back-end server and automatic early warning are carried out; the device such as edge computing device, video safety helmet can realize scene video image acquisition, through analysis and processing techniques such as spatial localization perception, artificial intelligence, intelligent recognition scene insecurity factor and the act of breaking rules and regulations and real-time feedback upload back-end server, in time indicate the risk. Based on the image deep learning algorithm, the functions of automatic snapshot, comparison, alarm and pushing of the illegal behaviors such as no person in the picture, no safety helmet wearing correctly, no safety belt wearing correctly (short sleeve wearing), no safety belt fastening, low hanging height of the safety belt and the like are realized through edge calculation. Intelligent unmanned aerial vehicle. The unmanned aerial vehicle with the artificial intelligent edge computing (ground station) module can realize remote video safety supervision and violation identification on an operation site, feed back and upload the information to a rear-end server in real time, and prompt risks in time.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the evidence of the operator dressing an irregular issue or an illegal operation behavior is a video or an image; the job site management and control platform still includes: the system comprises a video processing module, an image processing module and an information integration module;
the video processing module extracts a section with an irregular problem or an illegal operation behavior from the video by processing the voucher video, then encodes and converts the extracted section into character information based on a deep neural network model through a video conversion module in the video processing module, and outputs the character information as a voucher which is finally transmitted to a mobile terminal through an output end of the video processing module;
the image processing module extracts a part with an irregular problem or an illegal operation behavior from the picture by processing the certificate picture, and then the picture conversion module in the image processing module performs coding processing on the extracted part based on a deep neural network model and converts the part into character information, and the character information is used as a certificate which is finally transmitted to a mobile terminal; outputting the text information as a certificate finally transmitted to a mobile terminal through an output end of the image processing module;
the information integration module integrates and outputs the character information output by the video processing module and the image processing module based on a character integration module.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the evidence of the dress irregularity problem or the illegal operation behavior of the operator is a video or an image; the job site management and control platform still includes: the system comprises a video processing module, an image processing module and an information integration module; the video processing module extracts a section with an irregular problem or an illegal operation behavior from the video by processing the voucher video, then encodes and converts the extracted section into character information based on a deep neural network model through a video conversion module in the video processing module, and outputs the character information as a voucher which is finally transmitted to a mobile terminal through an output end of the video processing module; the image processing module extracts a part with an irregular problem or an illegal operation behavior from the picture by processing the certificate picture, and then the picture conversion module in the image processing module performs coding processing on the extracted part based on a deep neural network model and converts the part into character information, and the character information is used as a certificate which is finally transmitted to a mobile terminal; outputting the text information as a certificate finally transmitted to a mobile terminal through an output end of the image processing module; the information integration module integrates and outputs the character information output by the video processing module and the image processing module based on a character integration module.
Specifically, when no network or network signal is poor, and the transmission of the video or image is slow or cannot be transmitted, the video or image is subjected to coding conversion, the coding conversion is performed based on a deep neural network model, the video or image is converted into text information matched with the video or image, the text information is used as a certificate, the certificate displayed by the text information is transmitted, and the text information is more convenient and quick in the transmission process, so that the text information can be transmitted in various modes when no network or network signal is large. Therefore, the timeliness of information transmission can be guaranteed through the scheme.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the information calculation analysis module comprises an edge calculation module; the edge calculation module analyzes the image information based on an edge calculation technology;
the edge computing module removes redundant information by preprocessing a video image, so that part or all of video analysis is migrated to the edge, the requirements on cloud center computing, storage and network bandwidth are reduced, and the video analysis speed is increased.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the information calculation and analysis module comprises an edge calculation module; the edge calculation module analyzes the image information based on an edge calculation technology; the edge computing module removes redundant information by preprocessing a video image, so that part or all of video analysis is migrated to the edge, the requirements on cloud center computing, storage and network bandwidth are reduced, and the video analysis speed is increased.
Specifically, an artificial intelligent edge computing module is added in a traditional fixed camera, a mobile distribution control ball and 4G individual safety helmet equipment in the system to form a fixed visual analysis device and a mobile visual analysis device, so that identification and judgment of field violation behaviors can be directly carried out, and the identification and judgment are actively reported to a rear-end platform system.
The edge calculation has the characteristics of low time delay, safety, strong flexibility and independence on cloud and network. The artificial intelligence AI recognition edge calculation is completed at the video monitoring terminal, and the problems of untimely cloud calculation response and high power consumption are solved.
The most important change of edge calculation and video monitoring is to change passive monitoring into active analysis and early warning, so that the problem that massive monitoring data needs to be manually processed is solved. The edge calculation removes redundant information by preprocessing a video image, so that part or all of video analysis is migrated to the edge, thereby reducing the demands on cloud center calculation, storage and network bandwidth and improving the video analysis speed.
Meanwhile, the invalid video storage is reduced, the storage space is reduced, the occupation of a large amount of high-definition video network transmission bandwidth is greatly reduced, the 'in-the-fact' evidence video data is stored to the maximum extent, the reliability of evidence information is enhanced, and the utilization rate of the video data storage space is improved.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
In another embodiment, the face recognition module comprises an evidence acquisition module, an evidence storage module and an acquisition time recording module, when the face recognition module judges that the personnel entering and leaving the field are non-related operating personnel through a face recognition technology, the evidence acquisition module acquires a face photo of the field, the acquisition time recording module records the time for acquiring the face photo, and the evidence acquisition module transmits the acquired face photo to the evidence storage module; when the demand is verified afterwards, the face photos are called from the evidence storage module and the time for collecting the face photos is called from the collection time recording module so as to verify.
The working principle of the technical scheme is as follows: the scheme adopted by the embodiment is that the face recognition module comprises an evidence acquisition module, an evidence storage module and an acquisition time recording module, when the face recognition module judges whether field personnel are non-related operating personnel through a face recognition technology, the evidence acquisition module acquires a field face photo, the acquisition time recording module records the time for acquiring the face photo, and the evidence acquisition module transmits the acquired face photo to the evidence storage module; when the demand is verified afterwards, the face photos are called from the evidence storage module and the time for collecting the face photos is called from the collection time recording module so as to verify.
The intelligent image analysis and face recognition technology is utilized in combination with actual service requirements of the system and requirements of field working environments, face recognition identity authentication of personnel entering and exiting a field of production operation personnel and illegal helmet and wearing recognition are achieved, face recognition is added during entering the field, personnel with unmatched face recognition are pushed and sent to alarm at the backstage, field face pictures are collected, post-investigation is facilitated, common cheating behaviors such as alternate card punching, imposition and the like are avoided, and quality safety management of construction projects is further enhanced. The voice alarm is given to the irregular dressing personnel who do not correctly wear the safety helmet and the like.
In another embodiment, the system further comprises a voiceprint recognition module and a voiceprint gate, wherein the voiceprint recognition module is used for recognizing and matching voice wake-up signals of operators entering a site, judging whether the operators have the authority to enter a corresponding site area, and if so, automatically opening the voiceprint gate;
specifically, the processing procedure of the voiceprint recognition module is as follows: acquiring characteristic parameters of the awakening voice signal; the calculation formula of the characteristic parameters is as follows:
Figure BDA0003205161330000201
wherein T is a characteristic parameter, x (T) is a wake-up voice signal, Hm(k) Is the frequency spectrum of the filter; k is Hm(k) K is more than or equal to 0 and less than or equal to N-1; n-1, where M is 0, 1, 2, and M is the number of filters, typically 22-26; n is the number of sampling points of the awakening voice signal, t is the parameter variable of the awakening voice signal as the input signal, and t is more than or equal to 0 and less than or equal to N-1; l, L is typically 12-16;
acquiring final parameters of the starting conditions based on the characteristic parameters; the calculation formula of the final parameter is as follows:
Figure BDA0003205161330000202
wherein Z is the final parameter, T is the characteristic parameter, x (T) is the wake-up voice signal, Hm(k) Is the frequency spectrum of the filter; k is Hm(k) K is more than or equal to 0 and less than or equal to N-1; n-1, where N is the number of sampling points of the wake-up voice signal, t is a parameter variable of the wake-up voice signal as an input signal, and t is greater than or equal to 0 and less than or equal to N-1; z-1, z, z being an integer from 1 to 12;
carrying out normalization processing on the final parameters to obtain opening indexes; and taking the opening index as a basis for judging whether the awakening voice signal meets the requirement of opening the voiceprint gate.
The working principle of the technical scheme is as follows: the voiceprint gate is arranged at the position of the door entering and exiting the site, the effect of opening the voiceprint gate through the voiceprint recognition technology is achieved, voiceprint recognition and face recognition are combined, it is guaranteed that operating personnel entering and exiting the site are personnel with corresponding authorities, and non-related personnel cannot enter the site.
The beneficial effects of the above technical scheme are: the scheme adopted by the embodiment realizes real-time management and control of the field operation state, the personnel operation behavior and the safe civilized construction, carries out intelligent evaluation on the field operation process, establishes a digital evaluation archive, and comprehensively improves the safety production management and control efficiency and the lean management level of the construction operation. Therefore, the scheme provided by the embodiment can be used for effectively managing and controlling field personnel in real time, and the safety of the field personnel is ensured.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. The utility model provides an AI identification system for join in marriage net job site personnel management and control which characterized in that includes: the system comprises a face recognition module, an operation field control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module;
the face recognition module is arranged at the entrance and exit position of the distribution network operation site, and whether the entrance and exit personnel are related operation personnel is judged through a face recognition technology;
the information acquisition module acquires image information of different areas of the distribution network operation site; the image information comprises pictures and videos;
the information acquisition module transmits acquired image information to the information calculation and analysis module, the information calculation and analysis module analyzes the image information based on an edge calculation technology and a convolution network model of an attention mechanism, and determines the dressing irregularity problem or the illegal operation behavior of the operator on the distribution network operation site according to an analysis result;
the information calculation and analysis module transmits the dressing non-standard problems or the illegal operation behaviors of the operators on the distribution network operation site to an operation site control platform, the operation site control platform records the dressing non-standard problems or the illegal operation behaviors of the operators, sends the certificates of the dressing non-standard problems or the illegal operation behaviors of the operators to the mobile end of the operators with the dressing non-standard problems or the illegal operation behaviors in a warning mode, and notifies the certificates to the affiliated leaders of the related operators so as to monitor the operators.
2. The AI identification system applied to personnel management and control of a distribution network operation site as recited in claim 1, wherein different areas of the distribution network operation site are respectively provided with different area entry levels;
each zone entrance is provided with a zone entrance management and control module; each of the zones having a different zone entry level;
the zone entrance management and control module includes: the system comprises a region grade setting module, a face acquisition module, a face matching module and a matching database of the information of the operating personnel allowed to enter the related region;
the region grade setting module sets different region entering grades based on different regions; corresponding to areas of different levels, setting operator information allowed to enter in each area, and forming a matching database of the corresponding area according to the operator information allowed to enter in each area;
the face acquisition module acquires face information of an operator, the face matching module performs face matching on the acquired face information and the operator information in the matching database of the corresponding area, if the matching is successful, the corresponding operator is allowed to enter the corresponding area, and if the matching is unsuccessful, the corresponding operator is prompted not to have the authority to enter the area.
3. The AI identification system for distribution network job site personnel management and control of claim 2, wherein the area entrance management and control module further comprises a gate and a gate control module;
when the area entry level of a certain area reaches or exceeds a preset value, if the face matching module judges that the face matching of the acquired face information and the face of the operator information in the matching database of the corresponding area is successful, the face matching module sends a command for opening a gate to a gate control module, and the gate is opened according to the command to allow the operator to enter; if the matching is unsuccessful, the gate is not opened, and the operator is prohibited from entering the corresponding area.
4. The AI identification system applied to personnel management and control of a distribution network operation site as recited in claim 1, wherein a virtual electronic fence is provided in a dangerous area of the distribution network operation site; all the operators do not have the authority to enter the virtual electronic fence on the premise of the distribution network operation specification;
arranging infrared monitoring equipment or intelligent identification equipment around the virtual electronic fence;
the infrared monitoring equipment monitors whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an infrared monitoring technology;
the intelligent identification equipment detects whether people exist around the virtual electronic fence or whether people enter the virtual electronic fence through an artificial intelligent identification technology;
and if the infrared monitoring equipment or the intelligent identification equipment detects that personnel exist around the virtual electronic fence or enter the virtual electronic fence, sending the detected information to the operation field control platform, and sending high-level warning to the corresponding personnel by the operation field control platform.
5. The AI identification system applied to distribution network operation site personnel management and control of claim 1, wherein the operation site management and control platform records violation behaviors and violation times of operators wearing out of specification problems or violation behaviors, the operation site management and control platform sets violation levels for corresponding violation personnel according to the violation times, and within the set safety violation level range, the higher the violation level is, the more times the information acquisition module acquires information of the violation personnel.
6. The AI identification system for distribution network operation site personnel management and control of claim 1, wherein the information collection module comprises: the intelligent control system comprises an intelligent control ball, an intelligent safety helmet and an intelligent unmanned aerial vehicle;
when the information acquisition module comprises an intelligent unmanned aerial vehicle, the unmanned aerial vehicle automatically sets a moving stroke according to the position of an operator, and automatically acquires the operators at different angles and the operation behaviors of the operators; the intelligent unmanned aerial vehicle transmits acquired information to the information calculation and analysis module in real time, the information calculation and analysis module analyzes the acquired information in real time, if the problem of irregular dressing or the behavior of illegal operation of an operator is preliminarily judged, an analysis result is fed back to the intelligent unmanned aerial vehicle, the intelligent unmanned aerial vehicle classifies the fed back analysis result to further confirm the specific dressing and behavior of the related operator and sends the further confirmed information to the information calculation and analysis module, and the information calculation and analysis module forms a certificate of the problem of irregular dressing or the behavior of illegal operation of the operator according to the further confirmed information and transmits the certificate to the operation field control platform.
7. The AI identification system applied to personnel management and control of a distribution network operation site according to claim 1, wherein the operation site management and control platform comprises an automatic information sending module;
under the condition that the information automatic sending module is triggered, the operation field control platform automatically sends the certificate of the dressing non-standard problem or the illegal operation behavior of the operator to the mobile end of the operator with the dressing non-standard problem or the illegal operation behavior, and automatically notifies the certificate to the upper leader of the related operator so as to conveniently supervise the operator; after the automatic sending module is triggered, the automatic sending mode of the operation field control platform cannot be manually intervened.
8. The AI identification system applied to personnel management and control of distribution network operation site according to claim 1, wherein the evidence of the operator wearing out of specification problems or illegal operation behavior is video or image; the job site management and control platform still includes: the system comprises a video processing module, an image processing module and an information integration module;
the video processing module extracts a section with an irregular problem or an illegal operation behavior from the video by processing the voucher video, then encodes and converts the extracted section into character information based on a deep neural network model through a video conversion module in the video processing module, and outputs the character information as a voucher which is finally transmitted to a mobile terminal through an output end of the video processing module;
the image processing module extracts a part with an irregular problem or an illegal operation behavior from the picture by processing the certificate picture, and then the picture conversion module in the image processing module performs coding processing on the extracted part based on a deep neural network model and converts the part into character information, and the character information is used as a certificate which is finally transmitted to a mobile terminal; outputting the text information as a certificate finally transmitted to a mobile terminal through an output end of the image processing module;
the information integration module integrates and outputs the character information output by the video processing module and the image processing module based on a character integration module.
9. The AI identification system for distribution network job site personnel management and control of claim 1, wherein the information calculation analysis module comprises an edge calculation module; the edge calculation module analyzes the image information based on an edge calculation technology;
the edge computing module removes redundant information by preprocessing a video image, so that part or all of video analysis is migrated to the edge, the requirements on cloud center computing, storage and network bandwidth are reduced, and the video analysis speed is increased.
10. The AI identification system applied to personnel management and control of a distribution network operation site as recited in claim 1, wherein the face recognition module comprises an evidence collection module, an evidence storage module and a collection time recording module, wherein when the face recognition module judges that the personnel entering and leaving the site are non-relevant personnel through face recognition technology, the evidence collection module collects face photos of the site, the collection time recording module records the time for collecting the face photos, and the evidence collection module transmits the collected face photos to the evidence storage module; when the demand is verified afterwards, the face photos are called from the evidence storage module and the time for collecting the face photos is called from the collection time recording module so as to verify.
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CN113298444A (en) * 2021-07-15 2021-08-24 若普自动化技术（北京）有限公司 Private cloud-based intelligent power safety control platform

Cited By (5)

* Cited by examiner, † Cited by third party
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CN114040164A (en) * 2021-11-09 2022-02-11 南通中安高科电子有限公司 Personnel operation safety supervision cloud platform based on image video real-time monitoring
CN115358619A (en) * 2022-09-02 2022-11-18 国网河北省电力有限公司雄安新区供电公司 Digital intelligent power grid operation safety control management platform
CN115454138A (en) * 2022-10-11 2022-12-09 众芯汉创（北京）科技有限公司 Construction violation determination method and system based on unmanned aerial vehicle image recognition technology
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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Application publication date: 20211105