CN113903141A - Scene abnormal event identification, analysis and alarm system for transformer substation and distribution room and outdoor transformer - Google Patents
Scene abnormal event identification, analysis and alarm system for transformer substation and distribution room and outdoor transformer Download PDFInfo
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- CN113903141A CN113903141A CN202111368363.7A CN202111368363A CN113903141A CN 113903141 A CN113903141 A CN 113903141A CN 202111368363 A CN202111368363 A CN 202111368363A CN 113903141 A CN113903141 A CN 113903141A
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- G—PHYSICS
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- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- H—ELECTRICITY
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- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses a scene abnormal event identification, analysis and alarm system for a power transformation and distribution room and an outdoor transformer, which comprises the following components: camera equipment module: the terminal equipment assembly used for scene identification and monitoring is used for carrying out equipment installation and configuration starting according to each actual scene; the video service module: the module is used as a streaming media server and an SIP signaling server for accessing video equipment and pulling video streams, and provides video live broadcast service and historical video playback service; an AI algorithm service module: the method comprises an integrated area intrusion recognition algorithm, an abnormal behavior recognition algorithm and a smoke flame abnormal recognition algorithm, and realizes detection of each function; a business service module: providing record viewing and processing of various kinds of alarm information; the problem that the pedestrian invades, even destroys abnormal behaviors such as transformer equipment and even causes safety accidents, so that the prevention and the evidence obtaining are difficult is solved.
Description
Technical Field
The invention belongs to the technical field of power system monitoring, and particularly relates to a scene abnormal event identification, analysis and alarm system for a power transformation and distribution room and an outdoor transformer.
Background art:
in an operation system of a power system, outdoor transformers in a power transformation and distribution room and various places are the most common places for converting power to residential electricity consumption terminals and are also important components for maintaining normal operation of the power system, the places are closely contacted with the living environment of residents, and normal operation and safe operation of the outdoor transformers are not only related to normal operation of the power system, but also related to personal interests of surrounding residents and even life and property safety. At present, the power transformation and distribution room and the transformer are widely distributed in all corners of towns and villages, and the stable and safe operation, abnormal occurrence and fault timely response and processing of the power transformation and distribution room and the transformer are one of the important problems needing attention of all power related departments.
The most common solution in the prior art is to dispatch personnel regularly for maintenance and repair replacement to avoid and reduce the occurrence of faults and accidents, but the similar 'do not need to be close to' warning slogans are posted for fault prevention and safety protection of surrounding people, so that the faults and accidents can be prevented from happening in the bud, common fault situations such as short circuit and smoke generation of a transformer and fire caused by lightning stroke can be responded effectively only by waiting for feedback verification for a long time, and timely feedback and response can hardly be made for situations which can cause faults and accidents such as foreign matters, personnel intrusion and artificial damage on equipment.
The invention content is as follows:
the technical problems to be solved by the invention are as follows: the utility model provides a become distribution room and outdoor transformer scene abnormal event identification analysis alarm system to solve: the problems that the pedestrian invades, even destroys abnormal behaviors such as power transformation equipment and the like, and even causes safety accidents are difficult to prevent and obtain evidence; the problem that foreign matters which can cause faults are hung on the transformer equipment and are difficult to be timely discovered and processed by a power department occurs; the problems of untimely response such as smoke generation, fire burning and the like of transformer faults occur.
The technical scheme of the invention is as follows:
a scene abnormal event identification analysis alarm system for a power transformation and distribution room and an outdoor transformer comprises:
camera equipment module: the terminal equipment assembly used for scene identification and monitoring is used for carrying out equipment installation and configuration starting according to each actual scene;
the video service module: the module is used as a streaming media server and an SIP signaling server for accessing video equipment and pulling video streams, provides video live broadcast service and historical video playback service, and provides a signaling control interface; the video playing and camera control function required by the video national standard protocol GB28181 protocol is achieved;
an AI algorithm service module: the method comprises an integrated area intrusion recognition algorithm, an abnormal behavior recognition algorithm and a smoke flame abnormal recognition algorithm, and realizes detection of each function;
a business service module: providing the functions of recording, checking and processing various kinds of alarm information, calibrating the warning area of each monitoring scene, checking the monitoring video of each camera device and playing back; when receiving the intrusion alarm and the abnormal behavior alarm, the system sends an alarm signal to the monitoring equipment, controls the corresponding equipment to send out a driving away alarm audio and makes a video recording for evidence collection.
Each camera device of the camera device module supports GB28181 national standard video protocol and RTMP protocol; supporting the infrared camera shooting capability at night; possess the sound production module storage and dispose sound content, support long-range trigger sound module work, when the system finds regional invasion or unusual acts of destruction personnel, camera sound module will be triggered, sends out warning and drives away the audio frequency.
Each camera of the camera equipment module is networked through an IP network protocol to form a camera equipment network and is collected to the hard disk video recorder equipment at the tail end, and the hard disk video recorder stores historical videos; the hard disk video recorder provides access service for the external module through the unified gateway; and the video service module and the AI algorithm service module integrate and acquire monitoring pictures through the IP and related addresses of the cameras of the corresponding networks.
The video service module comprises two parts of streaming media service and SIP signaling service, a camera equipment module end initiatively sends a registration request of the SIP signaling service by configuring domain ID password information appointed by the SIP signaling service, the SIP signaling service formally establishes connection with each equipment of the camera equipment module after receiving the registration request and verifying the registration request, sends instruction information to the camera equipment module through related functions of a GB28181 protocol, calls a camera real-time monitoring picture and checks historical videos, the corresponding camera equipment module pushes the video stream to the streaming media service appointed in the SIP signaling, the streaming media service receives the video stream, a video external playing address is formed through HLS and RTMP video protocols, and the video can be watched through the address change.
The regional intrusion identification algorithm carries out intrusion detection based on a YOLOV5 pedestrian target detection algorithm and regional markers, judges whether the pedestrian target enters the warning region by mistake and is positioned at the position of a person through a monitoring image, determines whether the pedestrian target is in the warning range, and forms a piece of warning information to be sent to the business service module.
The abnormal behavior recognition algorithm recognizes key points of human body limbs in the picture based on a DeepPose human posture recognition algorithm and classifies each action, whether abnormal or dangerous behaviors exist is judged by recognizing and analyzing video action behaviors, when a pedestrian is found in a monitored area, whether abnormal behaviors damaging related equipment possibly exist is judged by posture recognition and analysis, warning information is immediately sent to a service system, and videos in the time period are recorded as evidence.
The smoke flame abnormity identification algorithm is used for detecting a covering suspension target based on a YOLOV5 foreign object target identification algorithm and a warning region mark, and when clothes, plastic bags or foreign object targets are covered and shielded or suspended on electric equipment, immediately identifying and sending alarm information to a business system; whether equipment faults smoke or even fires is locked in a monitoring range based on a YOLOV5 smoke and flame target identification algorithm, when power equipment faults and smoke or fire critical conditions occur, smoke and flame targets appearing on the equipment are identified, and warning information is sent to a business service module immediately.
The business service module comprises an alarm push function module, and the implementation method of the alarm push function module comprises the following steps: the alarm information sent by the AI algorithm service module is stored in a corresponding database form according to the alarm category, the alarm of a front-end page is triggered, and an alarm picture and video information are displayed to prompt a worker to process; and if the alarm category is regional invasion, directly triggering the alarm driving-away function module.
The service module comprises a warning and driving function module, the warning and driving function module sends a camera warning request through an interface provided by the video service module SIP service, and the SIP service module triggers the camera equipment module to activate and send warning audio to drive away corresponding to the camera audio module.
The service module comprises a video viewing function module and a video viewing function module, and provides a front-end page real-time video playing and historical video viewing interface for displaying a video list.
The invention has the beneficial effects that:
the invention provides a machine vision-based power transformation and distribution room and outdoor transformer scene abnormal event recognition analysis alarm system aiming at the most common scenes of a power transformation and distribution room and an outdoor transformer in a power scene by combining the most advanced machine vision and artificial intelligence technology at present. Related departments can complete some inspection tasks through each monitoring picture without going to the site frequently, foreign matter covering or hanging which possibly causes faults and appears on equipment in the picture can be found in time through an AI foreign matter recognition algorithm, at the moment, an alarm is formed, the related departments can go to the site rapidly for processing, the labor cost can be effectively reduced, the utilization efficiency of personnel is maximized, and safety risks which possibly appear in a periodic inspection neutral period can be prevented; when a pedestrian invades the dangerous range of the power equipment or identifies abnormal behavior personnel nearby, the camera can send out warning sound in time to expel the invader and warn relevant departments to take corresponding measures in due time, so that faults possibly caused by human beings and safety accidents are effectively prevented; in addition, when serious events such as smoke generation, ignition and the like occur after the faults of relevant equipment such as the transformer and the like, the AI recognition algorithm can quickly find the smoke and the flame and give an alarm in time, so that relevant departments can quickly make a response and take measures, the situation is prevented from further worsening, the damage is stopped in time, and the adverse effect of the power faults on the life and the work of residents is reduced to the maximum extent.
The invention monitors and identifies scenes corresponding to a machine vision artificial intelligence identification algorithm and a series of technical means, timely alarms personnel intrusion and personnel abnormal behaviors, timely discovers foreign matters on equipment, timely discriminates and warns common fault phenomena such as smoke, fire and the like of a power transformation and distribution room and a transformer, and helps related departments to timely discover the abnormal phenomena and quickly respond to solve the faults, thereby not only effectively avoiding faults and safety accidents caused by foreign matters and artificial damage, effectively avoiding unnecessary property loss and reducing maintenance cost, but also reducing the influence of power failure on resident life and economic loss caused by the power failure.
The problem that the pedestrian invades, even destroys abnormal behaviors such as power transformation equipment and the like, and even causes safety accidents, so that the prevention and the evidence obtaining are difficult is solved; the problem that foreign matters which can cause faults are hung on the transformer equipment and are difficult to be timely discovered and processed by a power department occurs; the problems of untimely response such as smoke generation, fire burning and the like of transformer faults occur.
Description of the drawings:
FIG. 1 is a block diagram of the modules and structure of the system of the present invention;
FIG. 2 is a block diagram of the data flow and event trigger structure of the functional modules of the present invention.
The specific implementation mode is as follows:
the system of the present invention is composed of four parts as shown in fig. 1, which are a camera device module, a video service module, an AI algorithm service module and a business service module. For a clear description of the system structure and the function mechanism of the present invention, the following description will be made with reference to fig. 2. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
1. Camera equipment module: as a terminal device component for scene recognition and monitoring, each camera device should support GB28181 national standard video protocol and RTMP protocol; (ii) a Supporting the infrared camera shooting capability at night; possess the sound production module, can save and dispose sound content, can long-range trigger sound module work, when the regional invasion of system discovery or unusual acts on the personnel of destruction, camera sound module will be triggered, sends out warning and drives away the audio frequency.
Purchasing camera equipment meeting the functions and requirements, installing the equipment according to actual scenes, configuring and starting the equipment (the specific operation should refer to a camera corresponding specification), networking the equipment through an IP network protocol to form a camera equipment network, and collecting the network to the terminal hard disk video recorder equipment, wherein the hard disk video recorder can store historical videos and call the capability of real-time monitoring, the realization is realized in a local networking mode based on safety consideration, and the hard disk video recorder provides access services for other modules through a unified gateway; the video service module and the AI algorithm service module can integrate and acquire monitoring pictures through the IP and related addresses of the cameras corresponding to the network.
2. The video service module: the module provides live video service and historical video playback service, and provides a signaling control interface for other modules to use; the module needs to have the functions of video playing, camera control and the like required by the video national standard protocol GB28181 protocol.
The video service module is divided into two parts of streaming media service and SIP signaling service, a camera equipment module end initiatively sends a registration request of the SIP signaling service by configuring information such as a domain ID password appointed by the SIP signaling service, the SIP signaling service formally establishes connection with each equipment of the camera equipment module after receiving the verification of the registration request, then sends instruction information to the camera equipment module through related functions of a GB28181 protocol, calls a camera real-time monitoring picture, checks historical videos and the like, the corresponding camera equipment module pushes the video stream to the appointed streaming media service in the SIP signaling, the streaming media service receives the video stream, a video external playing address is formed through video protocols such as HLS, RTMP and the like, and the video can be watched through the address change.
AI algorithm service module: the method comprises a regional intrusion recognition algorithm, an abnormal behavior recognition algorithm and a smoke flame abnormal recognition algorithm, wherein the algorithm body comprises a Yolov5 target detection algorithm and a DeepPose human posture recognition algorithm, YOLOV5 trained through a pedestrian recognition data set, a smoke flame recognition data set and a foreign matter suspension recognition data set has the capability of recognizing a corresponding target, DeepPose trained through the abnormal behavior recognition data set has the capability of distinguishing abnormal behaviors, and the implementation mode of realizing the detection of each function in a specific scene is as follows.
And (3) a regional intrusion identification algorithm: carrying out intrusion detection based on a YOLOV5 pedestrian target detection algorithm and zone markers, judging whether a pedestrian target is in an alert range or not after the pedestrian target is identified to enter the alert zone by mistake and the algorithm is positioned to the position of a person through a monitoring image, and once the pedestrian target is determined to enter the alert range, forming an alert message by the algorithm and sending the alert message to a service system;
abnormal behavior recognition algorithm: identifying key points of human body limbs in a picture and classifying each action based on a DeepPose human body posture identification algorithm, judging whether abnormal or dangerous behaviors exist or not by identifying and analyzing video action behaviors, immediately sending a warning to a service system when a pedestrian is found in a monitored area and judging whether abnormal behaviors such as damage to related equipment and the like possibly exist or not by posture identification and analysis, and recording a video in the time period as an evidence basis;
smoke flame anomaly identification algorithm: the method comprises the steps that coverage suspension target detection is carried out based on a YOLOV5 foreign object target recognition algorithm and warning area marks, and when clothes, plastic bags or other foreign objects cover or are suspended on electric equipment, an algorithm module immediately recognizes and sends warning information to a business system; whether equipment faults smoke or even fires is locked in a monitoring range based on a YOLOV5 smoke and flame target identification algorithm, when power equipment faults and smoke or fire critical conditions occur, an algorithm module can identify smoke and flame targets appearing on the equipment and immediately send warning information to a business service module.
3.A business service module: the method can provide recording checking and processing capabilities of various kinds of alarm information, and has the functions of calibrating warning areas of various monitoring scenes, checking monitoring videos of various camera devices and playing back the videos. When receiving the intrusion alarm and the abnormal behavior alarm, the system sends an alarm signal to the monitoring equipment, controls the corresponding equipment to send out a driving away alarm audio and makes a video recording for evidence collection. The service module consists of a WEB service main body, comprises a front-end operation service WEB page, a rear-end business processing logic and a database storage service, and is divided into an alarm pushing function module, an alarm driving-away function module and a video viewing function module.
The alarm pushing function module: the back end provides a uniform interface to receive the alarm information sent by the AI algorithm service module, stores the alarm information into a corresponding database form according to the alarm category, triggers the alarm of the front end page, and displays the alarm image, video and other information to prompt relevant staff to process; if the alarm category is regional invasion, the alarm driving-away function module is directly triggered.
Warning and driving function module: the module sends a camera alarm control request through an interface provided by the video service module SIP service, and triggers a camera equipment module to activate a corresponding camera audio module to send out an alarm audio for driving away through the SIP service.
The video viewing function module: the front-end page provides a video list (the list is obtained by synchronizing a camera equipment list accessed in a video service module SIP signaling service), a real-time video playing interface and a historical video viewing interface, the camera monitoring equipment to be played is selected by clicking, a rear-end logic module sends a video acquisition request through an interface provided by the video service module SIP service, the video acquisition request comprises a real-time monitoring request and a historical video request, the SIP service sends a corresponding instruction to the camera service module after receiving the request, the camera service module pushes a corresponding video stream to a streaming media service after receiving the instruction, and the SIP service returns a corresponding video playing address to the front-end interface to perform functions of video viewing and the like.
Claims (10)
1. A scene abnormal event identification analysis alarm system for a power transformation and distribution room and an outdoor transformer comprises:
camera equipment module: the terminal equipment assembly used for scene identification and monitoring is used for carrying out equipment installation and configuration starting according to each actual scene;
the video service module: the module is used as a streaming media server and an SIP signaling server for accessing video equipment and pulling video streams, provides video live broadcast service and historical video playback service, and provides a signaling control interface; the video playing and camera control function required by the video national standard protocol GB28181 protocol is achieved;
an AI algorithm service module: the method comprises an integrated area intrusion recognition algorithm, an abnormal behavior recognition algorithm and a smoke flame abnormal recognition algorithm, and realizes detection of each function;
a business service module: providing the functions of recording, checking and processing various kinds of alarm information, calibrating the warning area of each monitoring scene, checking the monitoring video of each camera device and playing back; when receiving the intrusion alarm and the abnormal behavior alarm, the system sends an alarm signal to the monitoring equipment, controls the corresponding equipment to send out a driving away alarm audio and makes a video recording for evidence collection.
2. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: each camera device of the camera device module supports GB28181 national standard video protocol and RTMP protocol; supporting the infrared camera shooting capability at night; possess the sound production module storage and dispose sound content, support long-range trigger sound module work, when the system finds regional invasion or unusual acts of destruction personnel, camera sound module will be triggered, sends out warning and drives away the audio frequency.
3. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: each camera of the camera equipment module is networked through an IP network protocol to form a camera equipment network and is collected to the hard disk video recorder equipment at the tail end, and the hard disk video recorder stores historical videos; the hard disk video recorder provides access service for the external module through the unified gateway; and the video service module and the AI algorithm service module integrate and acquire monitoring pictures through the IP and related addresses of the cameras of the corresponding networks.
4. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the video service module comprises two parts of streaming media service and SIP signaling service, a camera equipment module end initiatively sends a registration request of the SIP signaling service by configuring domain ID password information appointed by the SIP signaling service, the SIP signaling service formally establishes connection with each equipment of the camera equipment module after receiving the registration request and verifying the registration request, sends instruction information to the camera equipment module through related functions of a GB28181 protocol, calls a camera real-time monitoring picture and checks historical videos, the corresponding camera equipment module pushes the video stream to the streaming media service appointed in the SIP signaling, the streaming media service receives the video stream, a video external playing address is formed through HLS and RTMP video protocols, and the video can be watched through the address change.
5. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the regional intrusion identification algorithm carries out intrusion detection based on a YOLOV5 pedestrian target detection algorithm and regional markers, judges whether the pedestrian target enters the warning region by mistake and is positioned at the position of a person through a monitoring image, determines whether the pedestrian target is in the warning range, and forms a piece of warning information to be sent to the business service module.
6. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the abnormal behavior recognition algorithm recognizes key points of human body limbs in the picture based on a DeepPose human posture recognition algorithm and classifies each action, whether abnormal or dangerous behaviors exist is judged by recognizing and analyzing video action behaviors, when a pedestrian is found in a monitored area, whether abnormal behaviors damaging related equipment possibly exist is judged by posture recognition and analysis, warning information is immediately sent to a service system, and videos in the time period are recorded as evidence.
7. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the smoke flame abnormity identification algorithm is used for detecting a covering suspension target based on a YOLOV5 foreign object target identification algorithm and a warning region mark, and when clothes, plastic bags or foreign object targets are covered and shielded or suspended on electric equipment, immediately identifying and sending alarm information to a business system; whether equipment faults smoke or even fires is locked in a monitoring range based on a YOLOV5 smoke and flame target identification algorithm, when power equipment faults and smoke or fire critical conditions occur, smoke and flame targets appearing on the equipment are identified, and warning information is sent to a business service module immediately.
8. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the business service module comprises an alarm push function module, and the implementation method of the alarm push function module comprises the following steps: the alarm information sent by the AI algorithm service module is stored in a corresponding database form according to the alarm category, the alarm of a front-end page is triggered, and an alarm picture and video information are displayed to prompt a worker to process; and if the alarm category is regional invasion, directly triggering the alarm driving-away function module.
9. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the service module comprises a warning and driving function module, the warning and driving function module sends a camera warning request through an interface provided by the video service module SIP service, and the SIP service module triggers the camera equipment module to activate and send warning audio to drive away corresponding to the camera audio module.
10. The system for recognizing, analyzing and alarming the scene abnormal events of the transformer substation and outdoor transformer as claimed in claim 1, wherein: the service module comprises a video viewing function module and a video viewing function module, and provides a front-end page real-time video playing and historical video viewing interface for displaying a video list.
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| CN116797429A (en) * | 2023-05-31 | 2023-09-22 | 北京瑞泰兴成工程技术有限公司 | Comprehensive security management method, platform, equipment and computer readable storage medium |
| CN117376534A (en) * | 2023-12-07 | 2024-01-09 | 江西云眼视界科技股份有限公司 | Intelligent device data acquisition system |
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Inventor after: Zhang Qiuyan Inventor after: Tan Zhukui Inventor after: Ou Jiaxiang Inventor after: Gao Zhenghao Inventor after: Dai jiyulei Inventor after: Deng Yuedan Inventor after: Liu Bin Inventor after: Zhang Junwei Inventor after: Huang Hao Inventor before: Zhang Qiuyan Inventor before: Tan Zhukui Inventor before: Ou Jiaxiang Inventor before: Gao Zhenghao Inventor before: Dai jiyulei Inventor before: Deng Yuedan Inventor before: Liu Bin Inventor before: Zhang Junwei Inventor before: Huang Hao |
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Application publication date: 20220107 |