CN112737121A - Intelligent video monitoring, analyzing, controlling and managing system for power grid - Google Patents
Intelligent video monitoring, analyzing, controlling and managing system for power grid Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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Abstract
The invention discloses a power grid intelligent video monitoring analysis control management system, which comprises a front-end monitoring processing system, a front-end monitoring processing system and a monitoring management system, wherein the front-end monitoring processing system is arranged in each transformer substation in a jurisdiction area and is used for collecting, coding, storing and uploading image video information, environment quantity information and alarm information in the transformer substation; the electric power comprehensive data network is used for communication between the front-end monitoring processing system and the rear-end monitoring center; and the rear-end monitoring center is deployed in a city regulation and control center of the region where the transformer substation is located and is used for receiving various data information uploaded by the front end and managing, monitoring, operating and maintaining remote vision, remote measurement, remote signaling and remote control data of all transformer substations in the administrative region. The invention combines the actual requirements of the transformer substation and the system architecture planning, provides a cooperative unified platform for a plurality of information islands on the basis of front-end sensing equipment, and achieves the effect of assisting the intelligent management of the transformer substation.
Description
Technical Field
The invention relates to a transformer substation monitoring technology, in particular to an intelligent video monitoring, analyzing, controlling and managing system for a power grid.
Background
The security monitoring products in the power industry are continuously developed along with the power industry, like the current relatively mature integrated automation system is also a system which is released under the condition of experience accumulation for many years and is continuously improved, but the system is excessively concentrated on the management of special equipment for the power system, the capabilities of fire fighting, theft prevention, dynamic data acquisition and post processing analysis existing in the power system are slightly insufficient, and the technological utilization degree of the existing equipment and systems for video monitoring and alarming and the like is also lagged behind the mainstream of the security monitoring market. With the continuous progress of the comprehensive automation level of the transformer substation site and the continuous increase of the number of unattended transformer substations, video inspection work performed by inspection personnel on the controlled stations faces a considerable challenge, and the capability of effectively inspecting video images of the controlled stations and the related inspection work quality are reduced due to information overload.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides the power grid intelligent video monitoring analysis control management system for assisting the inspection personnel to comprehensively control the controlled station.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a power grid intelligent video monitoring analysis control management system comprises
The front-end monitoring and processing system is deployed in each transformer substation in the jurisdiction area and is used for collecting, coding, storing and uploading image video information, environment quantity information and alarm information in the transformer substation;
the electric power comprehensive data network is used for communication between the front-end monitoring processing system and the rear-end monitoring center;
the back-end monitoring center is deployed in a city regulation and control center of the region where the transformer substation is located and used for receiving various data information uploaded by the front end and managing, monitoring and operating and maintaining remote vision, remote measurement, remote signaling and remote control data of all transformer substations in the administrative region;
the front-end monitoring processing system comprises a security perimeter precaution subsystem, an entrance and exit access control management subsystem, a field safety helmet detection subsystem, a field personnel abnormal falling area detection subsystem, an on-duty personnel off-duty detection subsystem, an in-station environment monitoring subsystem and an in-station drainage monitoring subsystem;
the security and protection perimeter precaution subsystem is used for carrying out target boundary-crossing detection and area intrusion detection on a perimeter enclosure of the transformer substation and a set warning area in the substation, and alarming and target tracking are carried out when abnormality occurs;
the access control management subsystem is used for carrying out access authority management and personnel management and control on different areas in the station in an identity verification mode combining traditional identity verification and biological characteristic identification, and alarming when abnormal;
the on-site safety helmet detection subsystem is used for detecting whether a constructor correctly wears a safety helmet or not through a video image on a construction site and giving an alarm when the constructor is abnormal;
the field personnel abnormal falling detection subsystem is used for carrying out personnel abnormal falling detection in a patrol area and an operation area in the station through video images and alarming when the personnel abnormal falling detection is abnormal;
the on-duty personnel off-duty detection subsystem is used for carrying out on-duty personnel off-duty detection in the on-duty area in the station through video images and alarming when the on-duty personnel off-duty area is abnormal;
the in-station environment monitoring subsystem is used for carrying out environment state detection and fire control detection on the in-station equipment area through various sensors, and automatically controlling auxiliary equipment to handle abnormity and give an alarm when abnormity occurs;
the station internal drainage monitoring subsystem is used for detecting the conditions of temperature, humidity, water immersion and rainfall in the station internal cable trench area, and automatically controlling the auxiliary equipment to handle abnormality and give an alarm when abnormality occurs.
Specifically, the security and protection perimeter precaution subsystem comprises an electronic fence arranged on a perimeter wall of the transformer substation, perimeter radars arranged at intervals along the perimeter wall of the transformer substation, a thermal imaging camera arranged along the perimeter wall of the transformer substation in a matching way with the perimeter radars and used for shooting images of a warning area set in the substation, a security and protection behavior analysis host which is communicated with the electronic fence, the perimeter radars and the thermal imaging camera through an in-station network and used for storing, processing and transmitting data, and a security and protection alarm module connected with the security and protection behavior analysis host,
the security behavior analysis host performs security data processing through the following processes:
presetting an image surveillance zone based on the perimeter enclosure and the surveillance zone according to the image shot by the thermal imaging camera, and presetting a radar detection zone of a perimeter radar based on the perimeter enclosure and the surveillance zone;
when a trigger signal generated by entering of a person or an object exists in an image warning area or a radar detection area, capturing and storing image data and radar data in a period of specified time before and after the trigger signal is generated;
extracting and judging whether the duration of the generated trigger signal reaches a set threshold value from the captured image data and radar data, if so, determining that a target is out of range or invaded, and triggering a security alarm module to give an alarm;
the data stored and processed by the security behavior analysis host and the alarm signal data generated by the security alarm module are transmitted to a rear-end monitoring center through a power integrated data network.
In particular, the access control subsystem comprises access control modules configured at the entrances and exits of various areas in the station, a face recognition module, a fingerprint recognition module, a card reading module, an entrance guard information storage module, a personnel registration module and an entrance guard alarm module which are connected with the entrance guard control module, the personnel registration module is used for inputting personnel identity and authority information, the entrance guard control module is communicated with the back-end monitoring center through the electric power comprehensive data network, the entrance guard information storage module stores the personnel information allowed to pass by the current transformer substation configured according to the personnel identity and the authority, when the face recognition module, the fingerprint recognition module or the card reading module collects information of a person to be entered and exited, the access control module judges the identity and the authority of the person, if the condition is met, the person is released and the passing information is recorded, otherwise, the person is refused to pass; when the access control module receives the abnormal condition of the access, the access alarm module gives an alarm; when the access control module receives the fire-fighting dangerous case signal, all the accesses are controlled so that people can escape conveniently.
In particular, the on-site safety helmet detection subsystem comprises a monitoring camera arranged on a construction site in a station, a safety helmet detection host which is communicated with the monitoring camera through a network in the station and is used for storing, processing and transmitting data, and a safety helmet alarm module connected with the safety helmet detection host,
the safety helmet detection host machine carries out safety helmet detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the head of the human body;
according to morphological optical data of the head position of the human body in the acquired image data, comparing the morphological optical data with various safety helmet information prestored in a database, judging whether a safety helmet exists at the head position of the human body, if the safety helmet does not exist, sending an alarm by a safety helmet alarm module to remind safety responsible persons in related areas to administer, and if the safety helmet exists, judging whether the safety helmet is worn correctly;
and acquiring the height difference between the position of the safety helmet and the position of the shoulder of the human body in the image data, if the height difference does not meet a set threshold value, judging that the safety helmet is not correctly worn, and sending an alarm by a safety helmet alarm module to remind a safety responsible person in a related area to administer.
Specifically, the field personnel abnormal falling-down detection subsystem comprises monitoring cameras arranged in a station inspection area and a working area, an abnormal falling-down detection host which is communicated with the monitoring cameras through a station network and is used for storing, processing and transmitting data, an abnormal falling-down alarm module connected with the abnormal falling-down detection host,
the abnormal falling detection host machine performs abnormal falling detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the human body state;
and judging whether the current human body is in a climbing, lying and sitting posture state or not according to human body shape data in the acquired image data, if so, calculating the duration of the current human body posture state, if the duration exceeds a set threshold, judging that the current human body falls to the ground abnormally, and sending an alarm by an abnormal falling to the ground alarm module to remind a safety responsible person in a related area to rescue.
Specifically, the on duty detection subsystem comprises a monitoring camera arranged in an on duty area in a station, an on duty detection host which is communicated with the monitoring camera through an in-station network and is used for storing, processing and transmitting data, an on duty alarm module connected with the on duty detection host,
the off-Shift detection host machine performs off-Shift detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body target, if so, analyzing the number of the human body targets, if not, determining that no one is on duty, storing the current image, and sending an alarm by an on-duty alarm module to remind a manager to inform the manager to check;
and judging whether the human body target number meets the preset number of the people on duty, if not, recording the duration of the people not on duty, if the duration of the people not on duty exceeds a set threshold, determining that the time for the people to leave the duty is too long, storing the current image, and sending an alarm by an alarm module on the duty to remind a manager of notifying the manager of inspection.
Specifically, the in-station environment monitoring subsystem comprises a small-sized meteorological monitoring station for monitoring the surrounding meteorological environment of the transformer substation, a thermal imaging camera and a smoke sensor for monitoring the temperature state of equipment in the transformer substation, a sulfur hexafluoride sensor, a temperature and humidity sensor, an oxygen sensor, an air conditioner and an exhaust fan which are arranged in a high-voltage chamber, a temperature and humidity sensor, a heating module and a fan which are arranged in an outdoor terminal box, a temperature and humidity sensor and an electric trench cover plate which are arranged in a cable trench, an environment monitoring module which is communicated with various sensors and auxiliary equipment through an in-station network and is used for storing, processing and transmitting data, and an environment monitoring alarm module connected with the environment monitoring module,
when the environment in the high-pressure chamber is abnormal, the environment monitoring module controls the operation of an air conditioner or/and an exhaust fan in the high-pressure chamber to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the environment in the outdoor terminal box is abnormal, the environment monitoring module controls the operation of the heating module or/and the fan in the outdoor terminal box so as to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the small-sized meteorological monitoring station detects rain, the electric trench cover plate is controlled to be closed, and when the rain does not exist and the temperature and humidity in the cable trench are too high, the electric trench cover plate is controlled to be opened;
when the thermal imaging camera monitors that the picture temperature exceeds a set threshold or the smoke sensor monitors that the smoke quantity exceeds a set threshold, the environment monitoring alarm module sends out a fire alarm.
Specifically, the in-station drainage monitoring subsystem comprises a water sensor and a water pump which are arranged in the cable trench, a drainage monitoring module which is communicated with the water sensor and the water pump through an in-station network, and a drainage alarm module which is connected with the shooting monitoring module,
when the water logging sensor detects that accumulated water exists in the cable trench, the drainage monitoring module controls the water suction pump to operate to drain the cable trench, and if the drainage time exceeds a set threshold value, the drainage alarm module gives an alarm to remind a manager to treat the cable trench.
Specifically, the back-end monitoring center comprises a video management server, an access control management server, a moving-ring monitoring alarm server, an operation and maintenance server, a video comprehensive platform and an AI processing platform, wherein the video management server is used for storing and processing video image information and performing behavior analysis at the back end, the access control management server is used for storing and processing access control information, the moving-ring monitoring alarm server is used for storing and processing monitoring alarm information and remotely controlling auxiliary equipment, the operation and maintenance server is used for assisting in managing various data, the video comprehensive platform is used for displaying the video image information, and the AI processing platform is used for intelligently processing various data through deep learning.
And the back-end monitoring center is also provided with an on-map monitoring subsystem, and the on-line monitoring and state display of each device configured in the transformer substation by the front-end monitoring processing system are carried out through the integrated electronic map.
Compared with the prior art, the invention has the following beneficial effects:
the invention combines the actual demand of the transformer substation and the system architecture planning, provides a cooperative unified platform for a plurality of information islands on the basis of front-end sensing equipment, establishes the power grid intelligent video monitoring, analyzing, controlling and managing system, combines the characteristics of an unattended station, acquires, monitors and analyzes data of a plurality of factors such as personnel activities, security protection, dynamic environment, equipment state and the like in the station in real time, dispatches all subsystems to cooperate according to the analysis result, takes specific measures if necessary, realizes real-time alarm of abnormal conditions in the transformer substation, and automatically takes targeted counter measures under the condition of no human intervention, so that the transformer substation becomes an integral with vision, feeling, reaction and action, really 'lives' and finally achieves the effect of assisting the intelligent management of the transformer substation.
According to the characteristics of the power industry, the advanced automatic remote intelligent monitoring of the power grid is realized by upgrading and transforming a conventional monitoring system, and according to the characteristics of the power grid and the surrounding environment, the complete and reliable monitoring and management of the transformer substation are realized, the personnel redundancy is reduced, the labor intensity of the personnel is reduced, and the working efficiency is improved; the working personnel and the external personnel of the transformer substation actively or passively follow the production order of the transformer substation due to the intelligent video analysis auxiliary system, so that the effect of preventing various accidents is achieved.
Drawings
Fig. 1 is a schematic overall structure diagram of an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a front-end monitoring processing system according to an embodiment of the present invention.
FIG. 3 is a schematic structural diagram of a security perimeter protection subsystem in an embodiment of the present invention.
FIG. 4 is a schematic flow chart of a security perimeter protection subsystem in an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an access control management subsystem according to an embodiment of the present invention.
FIG. 6 is a schematic flow diagram of a field crash helmet detection subsystem in an embodiment of the present invention.
FIG. 7 is a flow chart illustrating a field personnel abnormal falling detection subsystem according to an embodiment of the present invention.
FIG. 8 is a schematic flow chart of an off duty detection subsystem for an operator on duty according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of an in-station environment monitoring subsystem according to an embodiment of the present invention.
FIG. 10 is a schematic diagram of an in-station drainage monitoring subsystem according to an embodiment of the present invention.
Detailed Description
The present invention is further illustrated by the following figures and examples, which include, but are not limited to, the following examples.
Examples
As shown in FIG. 1 and FIG. 2, the power grid intelligent video monitoring analysis control management system comprises
The front-end monitoring and processing system is deployed in each transformer substation in the jurisdiction area and is used for collecting, coding, storing and uploading image video information, environment quantity information and alarm information in the transformer substation;
the electric power comprehensive data network is used for communication between the front-end monitoring processing system and the rear-end monitoring center;
the back-end monitoring center is deployed in a city regulation and control center of the region where the transformer substation is located and used for receiving various data information uploaded by the front end and managing, monitoring and operating and maintaining remote vision, remote measurement, remote signaling and remote control data of all transformer substations in the administrative region;
the front-end monitoring processing system comprises a security perimeter precaution subsystem, an entrance and exit access control management subsystem, a field safety helmet detection subsystem, a field personnel abnormal falling area detection subsystem, an on-duty personnel off-duty detection subsystem, an in-station environment monitoring subsystem and an in-station drainage monitoring subsystem;
the security and protection perimeter precaution subsystem is used for carrying out target boundary-crossing detection and area intrusion detection on a perimeter enclosure of the transformer substation and a set warning area in the substation, and alarming and target tracking are carried out when abnormality occurs;
the access control management subsystem is used for carrying out access authority management and personnel management and control on different areas in the station in an identity verification mode combining traditional identity verification and biological characteristic identification, and alarming when abnormal;
the on-site safety helmet detection subsystem is used for detecting whether a constructor correctly wears a safety helmet or not through a video image on a construction site and giving an alarm when the constructor is abnormal;
the field personnel abnormal falling detection subsystem is used for carrying out personnel abnormal falling detection in a patrol area and an operation area in the station through video images and alarming when the personnel abnormal falling detection is abnormal;
the on-duty personnel off-duty detection subsystem is used for carrying out on-duty personnel off-duty detection in the on-duty area in the station through video images and alarming when the on-duty personnel off-duty area is abnormal;
the in-station environment monitoring subsystem is used for carrying out environment state detection and fire control detection on the in-station equipment area through various sensors, and automatically controlling auxiliary equipment to handle abnormity and give an alarm when abnormity occurs;
the station internal drainage monitoring subsystem is used for detecting the conditions of temperature, humidity, water immersion and rainfall in the station internal cable trench area, and automatically controlling the auxiliary equipment to handle abnormality and give an alarm when abnormality occurs.
The back-end monitoring center comprises a video management server, an access control management server, a moving-ring monitoring alarm server, an operation and maintenance server, a video comprehensive platform and an AI processing platform, wherein the video management server is used for storing and processing video image information and performing behavior analysis at the back end, the access control management server is used for storing and processing access control information, the moving-ring monitoring alarm server is used for storing and processing monitoring alarm information and remote control auxiliary equipment, the operation and maintenance server is used for assisting in managing various data, the video comprehensive platform is used for displaying the video image information, and the AI processing platform is used for intelligently processing various data through deep.
And the back-end monitoring center is also provided with an on-map monitoring subsystem, and the on-line monitoring and state display of each device configured in the transformer substation by the front-end monitoring processing system are carried out through the integrated electronic map.
As shown in fig. 3 and 4, the security and protection perimeter precaution subsystem includes an electronic fence disposed on the perimeter enclosure of the substation, perimeter radars disposed at intervals along the perimeter enclosure of the substation, thermal imaging cameras disposed along the perimeter enclosure of the substation and matched with the perimeter radars and configured to take images of a warning area set in the substation, a security and protection behavior analysis host communicating with the electronic fence, the perimeter radars and the thermal imaging cameras through an in-station network and configured to store, process and transmit data, and a security and protection alarm module connected to the security and protection behavior analysis host,
the security behavior analysis host performs security data processing through the following processes:
presetting an image surveillance zone based on the perimeter enclosure and the surveillance zone according to the image shot by the thermal imaging camera, and presetting a radar detection zone of a perimeter radar based on the perimeter enclosure and the surveillance zone;
when a trigger signal generated by entering of a person or an object exists in an image warning area or a radar detection area, capturing and storing image data and radar data in a period of specified time before and after the trigger signal is generated;
extracting and judging whether the duration of the generated trigger signal reaches a set threshold value from the captured image data and radar data, if so, determining that a target is out of range or invaded, and triggering a security alarm module to give an alarm;
the data stored and processed by the security behavior analysis host and the alarm signal data generated by the security alarm module are transmitted to a rear-end monitoring center through a power integrated data network.
Based on the capture of target image data, the form detection of people and vehicles can be effectively realized, the intrusion detection alarm of different targets is realized, and the cloud platform system configured based on the camera can track and recheck images of the alarm targets. False alarms possibly caused by shaking trees, low shrubs, flying birds and other small animals around the perimeter can be filtered by utilizing radar detection and image recognition technology, so that the accuracy of security target detection is improved.
As shown in fig. 5, the access control subsystem includes access control modules disposed at entrances and exits of various regions in the station, a face recognition module, a fingerprint recognition module, a card reading module, an entrance guard information storage module, a personnel registration module and an entrance guard alarm module which are connected with the entrance guard control module, the personnel registration module is used for inputting personnel identity and authority information, the entrance guard control module is communicated with the back-end monitoring center through the electric power comprehensive data network, the entrance guard information storage module stores the personnel information allowed to pass by the current transformer substation configured according to the personnel identity and the authority, when the face recognition module, the fingerprint recognition module or the card reading module collects information of a person to be entered and exited, the access control module judges the identity and the authority of the person, if the condition is met, the person is released and the passing information is recorded, otherwise, the person is refused to pass; when the access control module receives the abnormal condition of the access, the access alarm module gives an alarm; when the access control module receives the fire-fighting dangerous case signal, all the accesses are controlled so that people can escape conveniently. The subsystem can effectively manage the access authority and the access time interval of each channel of the transformer substation by using the personnel identity, and records all access information and state information, thereby realizing the convenient personnel management function.
As shown in fig. 6, the on-site helmet detection subsystem includes a monitoring camera disposed in a construction site, a helmet detection host communicating with the monitoring camera through an in-station network for storing, processing and transmitting data, a helmet alarm module connected to the helmet detection host,
the safety helmet detection host machine carries out safety helmet detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the head of the human body;
according to morphological optical data of the head position of the human body in the acquired image data, comparing the morphological optical data with various safety helmet information prestored in a database, judging whether a safety helmet exists at the head position of the human body, if the safety helmet does not exist, sending an alarm by a safety helmet alarm module to remind safety responsible persons in related areas to administer, and if the safety helmet exists, judging whether the safety helmet is worn correctly;
and acquiring the height difference between the position of the safety helmet and the position of the shoulder of the human body in the image data, if the height difference does not meet a set threshold value, judging that the safety helmet is not correctly worn, and sending an alarm by a safety helmet alarm module to remind a safety responsible person in a related area to administer.
As shown in fig. 7, the field personnel abnormal falling detection subsystem comprises monitoring cameras arranged in a station inspection area and a working area, an abnormal falling detection host which is communicated with the monitoring cameras through a station network and is used for storing, processing and transmitting data, an abnormal falling alarm module connected with the abnormal falling detection host,
the abnormal falling detection host machine performs abnormal falling detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the human body state;
and judging whether the current human body is in a climbing, lying and sitting posture state or not according to human body shape data in the acquired image data, if so, calculating the duration of the current human body posture state, if the duration exceeds a set threshold, judging that the current human body falls to the ground abnormally, and sending an alarm by an abnormal falling to the ground alarm module to remind a safety responsible person in a related area to rescue.
As shown in fig. 8, the on duty detection subsystem includes a monitoring camera disposed in an on duty area in a station, an on duty detection host communicating with the monitoring camera through an on-duty network for storing, processing and transmitting data, an on duty alarm module connected to the on duty detection host,
the off-Shift detection host machine performs off-Shift detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body target, if so, analyzing the number of the human body targets, if not, determining that no one is on duty, storing the current image, and sending an alarm by an on-duty alarm module to remind a manager to inform the manager to check;
and judging whether the human body target number meets the preset number of the people on duty, if not, recording the duration of the people not on duty, if the duration of the people not on duty exceeds a set threshold, determining that the time for the people to leave the duty is too long, storing the current image, and sending an alarm by an alarm module on the duty to remind a manager of notifying the manager of inspection.
As shown in fig. 9, the in-station environment monitoring subsystem includes a small-sized weather monitoring station for monitoring the weather environment around the transformer substation, a thermal imaging camera and a smoke sensor for monitoring the temperature state of the equipment in the transformer substation, a sulfur hexafluoride sensor, a temperature and humidity sensor, an oxygen sensor, an air conditioner and an exhaust fan which are arranged in a high-voltage chamber, a temperature and humidity sensor, a heating module and a fan which are arranged in an outdoor terminal box, a temperature and humidity sensor and an electric trench cover plate which are arranged in a cable trench, an environment monitoring module which is communicated with various sensors and auxiliary equipment through an in-station network and is used for storing, processing and transmitting data, and an environment monitoring alarm module connected with the environment monitoring module,
when the environment in the high-pressure chamber is abnormal, the environment monitoring module controls the operation of an air conditioner or/and an exhaust fan in the high-pressure chamber to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the environment in the outdoor terminal box is abnormal, the environment monitoring module controls the operation of the heating module or/and the fan in the outdoor terminal box so as to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the small-sized meteorological monitoring station detects rain, the electric trench cover plate is controlled to be closed, and when the rain does not exist and the temperature and humidity in the cable trench are too high, the electric trench cover plate is controlled to be opened;
when the thermal imaging camera monitors that the picture temperature exceeds a set threshold or the smoke sensor monitors that the smoke quantity exceeds a set threshold, the environment monitoring alarm module sends out a fire alarm.
As shown in fig. 10, the in-station drainage monitoring subsystem includes a water sensor and a water pump disposed in the cable trench, a drainage monitoring module communicating with the water sensor and the water pump through an in-station network, a drainage alarm module connected with the shooting monitoring module,
when the water logging sensor detects that accumulated water exists in the cable trench, the drainage monitoring module controls the water suction pump to operate to drain the cable trench, and if the drainage time exceeds a set threshold value, the drainage alarm module gives an alarm to remind a manager to treat the cable trench.
Through the system and the implementation process, the invention provides a technical basis for informatization, automation and interaction of the smart grid, and uploads the data to the statistical analysis system through an effective data integration and collection system, thereby providing technical support and decision basis for operation management work. By adopting the invention, the abnormity can be found in time, the accident can be reduced, the environment and security comprehensive monitoring technology can be improved, the dynamic environment and security data of the transformer substation can be mastered, the abnormity of the transformer substation environment can be found in time and can be processed in time, and the power failure accident caused by the transformer substation environment can be reduced. The device based on the infrared thermal imaging camera and the cable temperature measurement technology are improved, the problem that the bus temperature can be measured without contacting a bus is solved, the cable temperature is detected through a wireless communication technology, the bus and cable temperature is mastered in real time, and the device and cable fault early warning effect is achieved; detecting ozone O3 gas corroding the cable to prevent the cable from being corroded; the high-pressure chambers SF6 and O2 are detected, the leakage condition is detected in real time, and the safety of personnel is ensured; H2S gas in the cable trench is detected, the concentration of toxic gas H2S in the cable trench is mastered in real time, and the life safety of cable trench constructors is guaranteed. The unmanned pump machine is started and stopped, the manual patrol frequency is reduced, underground water leakage detection and the improvement of a water pump linkage technology are realized, the unmanned pump machine can be started and stopped, and the manual patrol frequency is reduced. And the active video monitoring is utilized to timely process the application of the intrusion damage behavior to the active video analysis technology, so that the active video monitoring of the internal and external environments of the transformer substation can be realized, and the intrusion and damage behaviors of the transformer substation can be timely processed. According to the invention, through a dynamic video system, various data acquisition systems and corresponding response control treatment systems, the working states of the transformer substation for autonomous analysis and autonomous response are realized, real-time monitoring and analysis are carried out in a normal state, abnormality is monitored, and treatment is carried out under the condition that human intervention cannot be timely carried out, so that the purpose of autonomously eliminating the abnormality or reducing loss to the maximum extent is achieved, the transformer substation is enabled to live without only numb 'look', certain thinking and treatment capabilities are given to the transformer substation, and the virtuous cycle of 'feeling', 'seeing', 'thinking', 'treatment' is realized.
The above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, but all changes that can be made by applying the principles of the present invention and performing non-inventive work on the basis of the principles shall fall within the scope of the present invention.
Claims (10)
1. A power grid intelligent video monitoring analysis control management system is characterized by comprising
The front-end monitoring and processing system is deployed in each transformer substation in the jurisdiction area and is used for collecting, coding, storing and uploading image video information, environment quantity information and alarm information in the transformer substation;
the electric power comprehensive data network is used for communication between the front-end monitoring processing system and the rear-end monitoring center;
the back-end monitoring center is deployed in a city regulation and control center of the region where the transformer substation is located and used for receiving various data information uploaded by the front end and managing, monitoring and operating and maintaining remote vision, remote measurement, remote signaling and remote control data of all transformer substations in the administrative region;
the front-end monitoring processing system comprises a security perimeter precaution subsystem, an entrance and exit access control management subsystem, a field safety helmet detection subsystem, a field personnel abnormal falling area detection subsystem, an on-duty personnel off-duty detection subsystem, an in-station environment monitoring subsystem and an in-station drainage monitoring subsystem;
the security and protection perimeter precaution subsystem is used for carrying out target boundary-crossing detection and area intrusion detection on a perimeter enclosure of the transformer substation and a set warning area in the substation, and alarming and target tracking are carried out when abnormality occurs;
the access control management subsystem is used for carrying out access authority management and personnel management and control on different areas in the station in an identity verification mode combining traditional identity verification and biological characteristic identification, and alarming when abnormal;
the on-site safety helmet detection subsystem is used for detecting whether a constructor correctly wears a safety helmet or not through a video image on a construction site and giving an alarm when the constructor is abnormal;
the field personnel abnormal falling detection subsystem is used for carrying out personnel abnormal falling detection in a patrol area and an operation area in the station through video images and alarming when the personnel abnormal falling detection is abnormal;
the on-duty personnel off-duty detection subsystem is used for carrying out on-duty personnel off-duty detection in the on-duty area in the station through video images and alarming when the on-duty personnel off-duty area is abnormal;
the in-station environment monitoring subsystem is used for carrying out environment state detection and fire control detection on the in-station equipment area through various sensors, and automatically controlling auxiliary equipment to handle abnormity and give an alarm when abnormity occurs;
the station internal drainage monitoring subsystem is used for detecting the conditions of temperature, humidity, water immersion and rainfall in the station internal cable trench area, and automatically controlling the auxiliary equipment to handle abnormality and give an alarm when abnormality occurs.
2. The intelligent video monitoring, analyzing, controlling and managing system for power grids according to claim 1, wherein the security and protection perimeter precaution subsystem comprises an electronic fence disposed on the perimeter enclosure of the transformer substation, perimeter radars disposed at intervals along the perimeter enclosure of the transformer substation, thermal imaging cameras disposed along the perimeter enclosure of the transformer substation in a matching manner with the perimeter radars and configured to take images of a warning region set in the substation, a security and protection behavior analysis host for storing, processing and transmitting data in communication with the electronic fence, the perimeter radars and the thermal imaging cameras through an in-station network, and a security and protection alarm module connected to the security and protection behavior analysis host,
the security behavior analysis host performs security data processing through the following processes:
presetting an image surveillance zone based on the perimeter enclosure and the surveillance zone according to the image shot by the thermal imaging camera, and presetting a radar detection zone of a perimeter radar based on the perimeter enclosure and the surveillance zone;
when a trigger signal generated by entering of a person or an object exists in an image warning area or a radar detection area, capturing and storing image data and radar data in a period of specified time before and after the trigger signal is generated;
extracting and judging whether the duration of the generated trigger signal reaches a set threshold value from the captured image data and radar data, if so, determining that a target is out of range or invaded, and triggering a security alarm module to give an alarm;
the data stored and processed by the security behavior analysis host and the alarm signal data generated by the security alarm module are transmitted to a rear-end monitoring center through a power integrated data network.
3. The intelligent video monitoring, analyzing, controlling and managing system for power grids according to claim 1, wherein the access control subsystem comprises access control modules disposed at the entrances and exits of various regions in a station, a face recognition module, a fingerprint recognition module, a card reading module, an access information storage module, a personnel registration module and an access alarm module connected to the access control modules, wherein the personnel registration module is used for entering personnel identity and authority information, the access control modules communicate with a rear-end monitoring center through a power integrated data network, the access information storage module stores personnel information which is allowed to pass through a current substation and is configured according to the personnel identity and authority, and when the face recognition module, the fingerprint recognition module or the card reading module collects the personnel information to be accessed, the access control module judges the identity and authority of the personnel, if the conditions are met, releasing and recording the passing information, otherwise, refusing to pass; when the access control module receives the abnormal condition of the access, the access alarm module gives an alarm; when the access control module receives the fire-fighting dangerous case signal, all the accesses are controlled so that people can escape conveniently.
4. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the on-site helmet detection subsystem comprises a monitoring camera disposed at a construction site in a station, a helmet detection host for storing, processing and transmitting data, which communicates with the monitoring camera via an in-station network, a helmet alarm module connected to the helmet detection host,
the safety helmet detection host machine carries out safety helmet detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the head of the human body;
according to morphological optical data of the head position of the human body in the acquired image data, comparing the morphological optical data with various safety helmet information prestored in a database, judging whether a safety helmet exists at the head position of the human body, if the safety helmet does not exist, sending an alarm by a safety helmet alarm module to remind safety responsible persons in related areas to administer, and if the safety helmet exists, judging whether the safety helmet is worn correctly;
and acquiring the height difference between the position of the safety helmet and the position of the shoulder of the human body in the image data, if the height difference does not meet a set threshold value, judging that the safety helmet is not correctly worn, and sending an alarm by a safety helmet alarm module to remind a safety responsible person in a related area to administer.
5. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the field personnel abnormal falling detection subsystem comprises monitoring cameras arranged in an in-station inspection area and an operation area, an abnormal falling detection host machine communicated with the monitoring cameras through an in-station network and used for storing, processing and transmitting data, and an abnormal falling alarm module connected with the abnormal falling detection host machine,
the abnormal falling detection host machine performs abnormal falling detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body, if so, analyzing the human body state;
and judging whether the current human body is in a climbing, lying and sitting posture state or not according to human body shape data in the acquired image data, if so, calculating the duration of the current human body posture state, if the duration exceeds a set threshold, judging that the current human body falls to the ground abnormally, and sending an alarm by an abnormal falling to the ground alarm module to remind a safety responsible person in a related area to rescue.
6. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the on duty detecting subsystem comprises a monitoring camera disposed in an on duty area in the station, an on duty detecting host for storing, processing and transmitting data communicated with the monitoring camera through an on duty network, and an on duty alarming module connected to the on duty detecting host,
the off-Shift detection host machine performs off-Shift detection data processing through the following processes:
capturing a moving object in a scene through a video image shot by a monitoring camera;
judging whether the moving object is a human body target, if so, analyzing the number of the human body targets, if not, determining that no one is on duty, storing the current image, and sending an alarm by an on-duty alarm module to remind a manager to inform the manager to check;
and judging whether the human body target number meets the preset number of the people on duty, if not, recording the duration of the people not on duty, if the duration of the people not on duty exceeds a set threshold, determining that the time for the people to leave the duty is too long, storing the current image, and sending an alarm by an alarm module on the duty to remind a manager of notifying the manager of inspection.
7. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the in-station environment monitoring subsystem comprises a small weather monitoring station for monitoring the weather environment around the substation, a thermal imaging camera and a smoke sensor for monitoring the temperature state of the equipment in the substation, a sulfur hexafluoride sensor, a temperature and humidity sensor, an oxygen sensor, an air conditioner and an exhaust fan arranged in a high-pressure chamber, a temperature and humidity sensor, a heating module and a fan arranged in an outdoor terminal box, a temperature and humidity sensor and an electric trench cover plate arranged in a cable trench, an environment monitoring module for storing, processing and transmitting data and an environment monitoring alarm module connected with the environment monitoring module, wherein the environment monitoring module is communicated with various sensors and auxiliary equipment through an in-station network,
when the environment in the high-pressure chamber is abnormal, the environment monitoring module controls the operation of an air conditioner or/and an exhaust fan in the high-pressure chamber to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the environment in the outdoor terminal box is abnormal, the environment monitoring module controls the operation of the heating module or/and the fan in the outdoor terminal box so as to eliminate the abnormality, and if the abnormal state exists after the set time is exceeded, the environment monitoring alarm module gives an alarm to remind a manager to process;
when the small-sized meteorological monitoring station detects rain, the electric trench cover plate is controlled to be closed, and when the rain does not exist and the temperature and humidity in the cable trench are too high, the electric trench cover plate is controlled to be opened;
when the thermal imaging camera monitors that the picture temperature exceeds a set threshold or the smoke sensor monitors that the smoke quantity exceeds a set threshold, the environment monitoring alarm module sends out a fire alarm.
8. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the in-station drainage monitoring subsystem comprises a water sensor and a water pump arranged in a cable trench, a drainage monitoring module communicating with the water sensor and the water pump through an in-station network, and a drainage alarm module connected with the shooting monitoring module,
when the water logging sensor detects that accumulated water exists in the cable trench, the drainage monitoring module controls the water suction pump to operate to drain the cable trench, and if the drainage time exceeds a set threshold value, the drainage alarm module gives an alarm to remind a manager to treat the cable trench.
9. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 1, wherein the back-end monitoring center comprises a video management server for storing and processing video image information and performing behavior analysis at the back end, an access control management server for storing and processing access control information, a dynamic loop monitoring and alarming server for storing and processing monitoring and alarming information and remotely controlling auxiliary equipment, an operation and maintenance server for assisting in managing various data, a video integrated platform for displaying video image information, and an AI processing platform for intelligently processing various data through deep learning training and configured with an open interface.
10. The power grid intelligent video monitoring, analyzing, controlling and managing system according to claim 9, wherein the back-end monitoring center is further configured with an on-map monitoring subsystem, and performs on-line monitoring and status display on each device configured in the substation by the front-end monitoring processing system through an integrated electronic map.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103312032A (en) * | 2012-03-14 | 2013-09-18 | 国家电网公司 | Monitoring system for auxiliary equipment of substation |
CN105701944A (en) * | 2014-11-27 | 2016-06-22 | 国网河南省电力公司南阳供电公司 | Transformer station live zone boundary-crossing detection system based on IVS and quality coding |
CN107545224A (en) * | 2016-06-29 | 2018-01-05 | 珠海优特电力科技股份有限公司 | The method and device of transformer station personnel Activity recognition |
CN109102669A (en) * | 2018-09-06 | 2018-12-28 | 广东电网有限责任公司 | A kind of transformer substation auxiliary facility detection control method and its device |
CN109164857A (en) * | 2018-11-14 | 2019-01-08 | 江苏七塔电力科技有限公司 | Switchgear house intelligent monitor system and switchgear house remote monitoring system |
CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
CN111291699A (en) * | 2020-02-19 | 2020-06-16 | 山东大学 | Substation personnel behavior identification method based on monitoring video time sequence action positioning and abnormity detection |
-
2020
- 2020-12-28 CN CN202011579152.3A patent/CN112737121A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103312032A (en) * | 2012-03-14 | 2013-09-18 | 国家电网公司 | Monitoring system for auxiliary equipment of substation |
CN105701944A (en) * | 2014-11-27 | 2016-06-22 | 国网河南省电力公司南阳供电公司 | Transformer station live zone boundary-crossing detection system based on IVS and quality coding |
CN107545224A (en) * | 2016-06-29 | 2018-01-05 | 珠海优特电力科技股份有限公司 | The method and device of transformer station personnel Activity recognition |
CN109102669A (en) * | 2018-09-06 | 2018-12-28 | 广东电网有限责任公司 | A kind of transformer substation auxiliary facility detection control method and its device |
CN109164857A (en) * | 2018-11-14 | 2019-01-08 | 江苏七塔电力科技有限公司 | Switchgear house intelligent monitor system and switchgear house remote monitoring system |
CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | Multi-dimensional intelligent remote inspection system for transformer substation |
CN111291699A (en) * | 2020-02-19 | 2020-06-16 | 山东大学 | Substation personnel behavior identification method based on monitoring video time sequence action positioning and abnormity detection |
Cited By (16)
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---|---|---|---|---|
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CN113537166A (en) * | 2021-09-15 | 2021-10-22 | 北京科技大学 | Alarm method, alarm device and storage medium |
CN113537166B (en) * | 2021-09-15 | 2021-12-14 | 北京科技大学 | Alarm method, alarm device and storage medium |
CN114255582A (en) * | 2021-12-27 | 2022-03-29 | 深圳市希德威科技发展有限公司 | A wisdom monitoring device for leaving post and sleep post action |
CN114281136A (en) * | 2021-12-29 | 2022-04-05 | 安徽佑赛科技股份有限公司 | Intelligent monitoring system and method |
CN114333128A (en) * | 2021-12-30 | 2022-04-12 | 北京华能新锐控制技术有限公司 | Diversified application system of access control data |
CN114973569A (en) * | 2022-05-16 | 2022-08-30 | 国网天津市电力公司 | Perimeter disturbance warning method and system based on remote vision system |
CN115150559B (en) * | 2022-09-06 | 2022-11-25 | 国网天津市电力公司高压分公司 | Remote vision system with acquisition self-adjustment calculation compensation and calculation compensation method |
CN115150559A (en) * | 2022-09-06 | 2022-10-04 | 国网天津市电力公司高压分公司 | Remote vision system with acquisition self-adjustment calculation compensation and calculation compensation method |
CN115623031A (en) * | 2022-09-20 | 2023-01-17 | 中邮通建设咨询有限公司 | Three-dimensional wisdom building site operation and maintenance management and control platform |
CN115623031B (en) * | 2022-09-20 | 2023-11-03 | 中邮通建设咨询有限公司 | Three-dimensional intelligent building site operation and maintenance management and control platform |
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