CN117937771B - One-key sequential control video double-confirmation system - Google Patents

One-key sequential control video double-confirmation system Download PDF

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CN117937771B
CN117937771B CN202410334699.9A CN202410334699A CN117937771B CN 117937771 B CN117937771 B CN 117937771B CN 202410334699 A CN202410334699 A CN 202410334699A CN 117937771 B CN117937771 B CN 117937771B
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sequential control
equipment
confirmation
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CN117937771A (en
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娄坚鑫
刘方贵
严澍
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Fujian Rongtu Power Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00001Circuit 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]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2431Multiple classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00002Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00006Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Power Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
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  • Human Computer Interaction (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention provides a one-key sequential control video double-confirmation system, belongs to the technical field of power grid safety, and solves the problems that the existing one-key sequential control system cannot accurately perform visual double confirmation, personalized intelligent learning and the like. The intelligent analysis system comprises a one-key sequential control workstation, an OMS subsystem, an auxiliary area master station subsystem, a dispatching automation subsystem, a substation auxiliary subsystem, an intelligent research and judgment analysis subsystem, front-end camera equipment and a switching equipment double-confirmation device, wherein the OMS subsystem and the auxiliary area master station subsystem are connected through an FTP file transfer protocol, and the one-key sequential control workstation is connected with the auxiliary area master station subsystem through a data communication network; the intelligent research analysis subsystem is connected with the substation auxiliary subsystem and the front-end camera equipment through a station-end data private network. According to the method, visual double confirmation of the states of equipment such as a disconnecting link is realized through cooperation of equipment, cloud analysis and intelligent learning, training and learning are carried out in a personalized selection mode, analysis data are mined, and the mined data are stored.

Description

One-key sequential control video double-confirmation system
Technical Field
The invention belongs to the technical field of power grid safety, and relates to a one-key sequential control video double-confirmation system.
Background
Along with the high-speed development of power grid construction, the number of substations is continuously increased, the development of the substations has undergone three stages of conventional substations, intelligent substations and intelligent substations, and as an important means for operation and maintenance of the substations, the switching operation is still performed in a traditional manual successive operation mode, so that the development requirements of an electric power system can not be met far, and a plurality of defects exist in the traditional switching operation: the environment is complex and the efficiency is low; the risk of misoperation is high; the cost is high and the difficulty is high; the personal safety risk is high; in this context, a substation sequence control technology is generated, and sequence control is abbreviated as sequential control, which means that control operation of equipment is automatically completed in sequence by a computer in a substation according to a preset operation sequence, and operation of multiple substation equipment is completed at one time.
The existing one-key sequential control system needs manual field check to realize 'double confirmation', if the area is far away, workers can only arrive at the field for checking after spending a certain time, so that the 'double confirmation' consumes a long time, the implementation of remedial measures is delayed, if the defect cannot be remedied in time, the working risk of the personnel can be further increased in severe environments, various defects of certain safety risks exist, the position information of the isolating switch cannot be accurately confirmed, the judging speed is low, the anti-interference capability is general, the automatic deviation calibration function is not provided, and the utilization rate of a communication line cannot be improved.
Meanwhile, birds and miscellaneous trees outside the anti-zone are more, the false alarm rate is higher, foreign personnel are prevented from entering the factory to be damaged, meanwhile, in order to prevent the personnel entering the factory from being in a relaxed state, safety helmets and working clothes are not worn as required, whether the personnel entering the factory wear the safety helmets, the working clothes and the working shoes as required is detected, the ignition source is stopped, and accidents are prevented.
The judgment of whether the disconnecting link is in place is to realize a one-key sequential control basis, and the single judgment basis cannot meet the actual operation requirement on site. By combining the current situation of a dispatching telecontrol system and through a video intelligent research and judgment technology, the non-homologous double-angle confirmation of the running state of the disconnecting link is realized, thereby meeting the demand of one-key sequential control practicability of dispatching operation.
Based on the above, we propose a one-key sequential control video double-confirmation system, through the cooperation of equipment, cloud analysis and artificial intelligence learning, the double confirmation of equipment states is realized, training learning is carried out on a personalized selection mode and method, analysis data are mined, and the mined data are stored.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides a one-key sequential control video double-confirmation system, which aims to solve the technical problems that: and (3) double confirmation of states of equipment such as a disconnecting link and the like is realized, training and learning are carried out on a personalized selection mode and method, analysis data are mined, and the mined data are stored.
The aim of the invention can be achieved by the following technical scheme:
The system information feedback of the auxiliary regional master station subsystem is penetrated to the first power network region and the second power network region through a SCADA event server arranged in the third power network region, the OMS subsystem and the auxiliary regional master station subsystem are in communication connection through an FTP file transmission protocol, and the one-key sequential control workstation is in communication connection with the auxiliary regional master station subsystem through a data communication network; the intelligent research analysis subsystem is connected with the substation auxiliary subsystem and the front-end camera equipment through a station-end data private network.
The one-key sequential control workstation comprises a grading module, an artificial intelligent learning module, a depth mining module and a data storage module, wherein the grading module is used for grading, and the grading content comprises, but is not limited to, a risk grade, a confirmation grade and a processing grade;
The risk level is that risk level classification is carried out on the risk data obtained after data analysis, and the grade is divided into general risk, larger risk, major risk and extra-large risk; the confirmation level is obtained by carrying out confirmation level classification on the data obtained after data analysis, and the level is classified into a special confirmation event, a major confirmation event, a large confirmation event and a general confirmation event; the processing grades are obtained by processing the data after data analysis and are divided into employee processing grades, group leader processing grades, partition processing grades and headquarter processing grades;
The artificial intelligent learning module is used for training and learning a mode or a method for personalized processing selection of staff according to the requirements of site conditions and a result, and storing the mode and the method for personalized selection into the data storage module; the personalized processing selection mode or method comprises grading, alarming, rescue and the like.
The depth mining module is used for mining and analyzing working data for processing the situations occurring on the spot, establishing a data mining model, guaranteeing the accuracy and the model understandability of the model, performing descriptive method data mining, anomaly detection method data mining and predictive method data mining, thereby mining new coping methods, and storing the mined data and the new coping methods into the data storage module for selection by staff, so that more coping methods are available.
The OMS subsystem is a power failure management system, comprises planned power failure management and fault power failure management, strengthens the management of planned power failure, rapidly processes fault power failure, shortens power failure time, improves power supply reliability, provides information of recovering power supply for a fault repair response system, and responds to a user consultation related to recovering power supply in real time, thereby improving the quality of service for the user.
The auxiliary area master station subsystem comprises an intelligent error prevention host, a one-key sequential control host and a data network shutdown; the substation operator uses the one-key sequential control host to call the one-key sequential control operation ticket, and after the intelligent error prevention host and the one-key sequential control host are subjected to error prevention double check, an operation instruction is issued to the on-site secondary equipment through the spacer layer equipment, so that various operation tasks are completed, and one-key sequential control operation of the substation end is realized; meanwhile, the one-key sequential control workstation and the dispatching automation subsystem are deployed with one-key sequential control function modules, and one-key sequential control of the centralized control station end and the dispatching end is realized through shutdown of the data communication network.
The one-key sequential control operation ticket is an operation sequence stored in the transformer substation and used for one-key sequential control, and the content comprises, but is not limited to, an operation object, a current equipment state, a target equipment state, an operation task name, an operation item, an operation condition and a target state, and the one-key sequential control operation ticket is debugged and verified before the one-key sequential control function is put into operation; the operation sequence formed by sequentially combining a plurality of one-key sequential control operation tickets forms a one-key sequential control combined ticket.
The scheduling automation subsystem can automatically complete a series of operation steps through a preset program and algorithm, and reduces the chance of manual intervention, thereby reducing the technical safety risk caused by manual misoperation.
The substation auxiliary subsystem comprises a data encryption and network security module, a risk early warning and disposal mechanism module, a periodic maintenance and updating module and a real-time monitoring and early warning module.
The intelligent research and judgment analysis subsystem can collect and analyze the operation data of the equipment in real time, provide the functions of real-time monitoring and early warning of the operation state of the equipment, and provide decision support for operation and maintenance personnel.
The front-end camera equipment comprises, but is not limited to, a plurality of NVRs and a plurality of DVRs, acquires the knife switch mode, the knife switch running state and the position information of the equipment in real time, and performs identification and processing through an image analysis algorithm to realize double confirmation of the equipment state; this helps to reduce the risk of mishandling and missed operations due to human factors.
The identification of the knife switch mode is that characteristic points of a real-time image and a template image acquired by a high-definition camera are extracted and matched, and knife switch equipment is stripped from complex background information; the automatic identification of the direction of the disconnecting link arm in the disconnecting link equipment image is realized by using a Hough transformation technology, so that the direction angle of the disconnecting link arm is obtained; and the judgment of the in-place reliability of disconnecting link opening and closing is realized by comparing the direction of the disconnecting link in the image acquired in real time with the angle information of the disconnecting link specified by the in-place disconnecting link closing template.
The knife switch operating state includes, but is not limited to, horizontal split, horizontal rotary, and vertical crank telescopic.
The switch equipment double-confirmation device carries out double confirmation on the states of the circuit breaker and the isolating switch, and simultaneously correspondingly changes through at least two non-identical principle or non-homologous state indications, and is divided into a main criterion and an auxiliary criterion; the main criteria comprise a breaker double-confirmation main criterion and a disconnecting switch double-confirmation main criterion, the auxiliary criteria comprise a breaker double-confirmation auxiliary criterion and a disconnecting switch auxiliary criterion, the breaker double-confirmation main criterion adopts a breaker closing position and a breaker dividing auxiliary contact, and the breaker auxiliary criterion is acquired three-phase current or voltage; the double-confirmation main criterion of the isolating switch adopts the closing position of the isolating switch and the separating auxiliary contact of the isolating switch, and the auxiliary criterion of the isolating switch is data acquired by a sensor system or a video image recognition system.
Compared with the prior art, the one-key sequential control video double-confirmation system has the following advantages:
the OMS subsystem is matched with the auxiliary area main station subsystem to realize the transmission and archiving of the monitoring pictures of the sequential control operation;
The system information feedback of the auxiliary regional main station subsystem is penetrated to the first power network region and the second power network region through an SCADA event server arranged in the third power network region;
The intelligent research and judgment analysis subsystem is matched with the substation auxiliary subsystem and the front-end camera equipment to acquire the knife switch mode, the knife switch running state and the position information of the equipment in real time, perform key monitoring on key areas as required and formulate tasks; video linkage is realized with dispatching automation, primary equipment previewing and overall monitoring of sequential control operation tickets are realized, and closed-loop operation is realized with the dispatching automation sequential control operation tickets; intelligent research and judgment are carried out on the disconnecting link opening and closing operation, intelligent research and judgment on the state of disconnecting link equipment is realized through a monitoring picture related to disconnecting link operation, and the state of the disconnecting link equipment is compared with the state of a sequential control operation ticket;
The switch equipment double-confirmation device is matched with the main criterion and the auxiliary criterion, and is used for identifying and processing through an image analysis algorithm, so that double confirmation of equipment states is realized;
The one-key sequential control workstation performs training learning on the personalized selection mode, mines analysis data and stores the mined data.
Drawings
Fig. 1 is a schematic diagram of the overall architecture of the present invention.
Fig. 2 is a schematic diagram of the general architecture details of the present invention.
FIG. 3 is a flow chart of the state of the system in the forward control operation knife switch in the invention.
Fig. 4 is a schematic diagram of a dual acknowledgement detail in the present invention.
Detailed Description
The following are specific embodiments of the present invention and the technical solutions of the present invention will be further described with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
As shown in fig. 1-4, the one-key sequential control video double-confirmation system comprises a one-key sequential control workstation, an OMS subsystem, an auxiliary area master station subsystem, a dispatching automation subsystem, a substation auxiliary subsystem, an intelligent research analysis subsystem, a front end camera device and a switching device double-confirmation device, wherein the dispatching automation subsystem belongs to a first power network area, the one-key sequential control workstation, the OMS subsystem, the auxiliary area master station subsystem, the substation auxiliary subsystem, the front end camera device and the switching device double-confirmation device belong to a third power network area, sequential control operation instructions of the first power network area and the third power network area are subjected to strong isolation penetration interaction, system information of the auxiliary area master station subsystem is transmitted back to the first power network area and the second power network area through an SCADA event server arranged in the third power network area, the OMS subsystem and the auxiliary area master station subsystem are in communication connection through an FTP file transmission protocol, and the one-key sequential control workstation is in communication connection with the auxiliary area master station subsystem through a data communication network; the intelligent research and judgment analysis subsystem is in communication connection with the substation auxiliary subsystem and the front-end camera equipment through a station-end data private network;
The system mainly comprises a power dispatcher, a hydropower dispatcher, relay protection personnel, a power market transactor and the like, a station end, an electric energy remote terminal, a fault wave recording device, a quotation system of a power plant and the like, wherein the data acquisition frequency of the non-control area is in a minute level or an hour level, the data communication of the non-control area uses a non-real-time sub-network of a power dispatching data network, and the systems do not belong to the one-key sequential control video double-confirmation system.
The one-key sequential control workstation comprises a grading module, an artificial intelligent learning module, a depth mining module and a data storage module, wherein the grading module is used for grading, and the grading content comprises, but is not limited to, a risk grade, a confirmation grade and a processing grade;
The risk level is that risk data obtained after data analysis is subjected to risk level classification, such as general risk, larger risk, major risk and extra-large risk; the confirmation level is used for classifying the data obtained after the data analysis, such as special confirmation event, major confirmation event, large confirmation accident and general confirmation accident; the processing grade is that the data obtained after the data analysis are processed and graded, such as employee processing grade, group leader processing grade, partition processing grade and headquarter processing grade;
The artificial intelligent learning module is used for training and learning a mode or a method for personalized processing selection of staff according to the requirements of the site conditions and a result, and storing the mode and the method for personalized selection into the data storage module; the personalized processing selection modes or methods comprise grading, alarming, rescue and the like;
The depth mining module is used for mining and analyzing working data for processing the situations occurring on the spot, establishing a data mining model, guaranteeing the accuracy and the model understandability of the model, performing descriptive method data mining, anomaly detection method data mining and predictive method data mining, thereby mining new coping methods, and storing the mined data and the new coping methods into the data storage module for selection by staff, so that more coping methods are available.
The OMS subsystem is a power failure management system, comprises planned power failure management and fault power failure management, strengthens the management of planned power failure, rapidly processes fault power failure, shortens power failure time, improves power supply reliability, provides information of recovering power supply for a fault repair response system, responds to the consultation of a user on recovering power supply in real time, and improves the quality of service for the user.
The auxiliary area master station subsystem comprises an intelligent error prevention host, a one-key sequential control host and a data network shutdown; the substation operator uses the one-key sequential control host to call the one-key sequential control operation ticket, and after the intelligent error prevention host and the one-key sequential control host are subjected to error prevention double check, an operation instruction is issued to the on-site secondary equipment through the spacer layer equipment, so that various operation tasks are completed, and one-key sequential control operation of the substation end is realized; meanwhile, the one-key sequential control workstation and the dispatching automation subsystem are deployed with one-key sequential control function modules, and one-key sequential control of the centralized control station end and the dispatching end is realized through shutdown of the data communication network.
The one-key sequential control operation ticket is an operation sequence stored in the transformer substation and used for one-key sequential control, and the content comprises, but is not limited to, an operation object, a current equipment state, a target equipment state, an operation task name, an operation item, an operation condition and a target state, and the one-key sequential control operation ticket is subjected to debugging verification before the one-key sequential control function is put into operation; the operation sequence formed by sequentially combining a plurality of one-key sequential control operation tickets forms a one-key sequential control combined ticket.
The scheduling automation subsystem can automatically complete a series of operation steps through a preset program and algorithm, so that the chance of manual intervention is reduced, and the technical safety risk caused by manual misoperation is reduced.
The substation auxiliary subsystem comprises a data encryption and network security module, a risk early warning and disposal mechanism module, a periodic maintenance and updating module and a real-time monitoring and early warning module.
The intelligent research and judgment analysis subsystem can collect and analyze the operation data of the equipment in real time, provide the real-time monitoring and early warning functions of the operation state of the equipment, and provide decision support for operation and maintenance personnel.
The front-end camera equipment comprises a plurality of NVRs and a plurality of DVRs, acquires the knife switch mode, the knife switch running state and the position information of the equipment in real time, and performs identification and processing through an image analysis algorithm to realize double confirmation of the equipment state; this helps to reduce the risk of mishandling and missed operations due to human factors.
The identification of the knife switch mode is that characteristic points of a real-time image and a template image acquired by a high-definition camera are extracted and matched, and the knife switch equipment is stripped from complex background information; the automatic identification of the direction of the disconnecting link arm in the disconnecting link equipment image is realized by using a Hough transformation technology, so that the direction angle of the disconnecting link arm is obtained; and the judgment of the in-place reliability of disconnecting link opening and closing is realized by comparing the direction of the disconnecting link in the image acquired in real time with the angle information of the disconnecting link specified by the in-place disconnecting link closing template.
The knife switch operating state includes, but is not limited to, horizontal split, horizontal rotary, and vertical crank arm telescoping.
The switch equipment double-confirmation device carries out double confirmation on the states of the circuit breaker and the isolating switch, and simultaneously correspondingly changes through at least two non-identical principle or non-homologous state instructions, and is divided into a main criterion and an auxiliary criterion; the main criteria comprise a breaker double-confirmation main criterion and a disconnecting switch double-confirmation main criterion, the auxiliary criteria comprise a breaker double-confirmation auxiliary criterion and a disconnecting switch auxiliary criterion, the breaker double-confirmation main criterion adopts a breaker closing position and a breaker dividing auxiliary contact, and the breaker auxiliary criterion is acquired three-phase current or voltage; the double-confirmation main criterion of the isolating switch adopts the closing position of the isolating switch and the separating auxiliary contact of the isolating switch, and the auxiliary criterion of the isolating switch is data acquired by a sensor system or a video image recognition system.
The working principle of the invention is as follows:
The technology of artificial intelligence, cloud technology, whole network transmission, centralized control, display and the like is adopted, and the system mainly comprises equipment, cloud analysis, an artificial intelligence learning system and the like. The system judges the state information of the primary equipment according to the state judgment standard of the operation and maintenance personnel, combines artificial intelligence through a machine vision deep learning technology and autonomous learning training, and simultaneously performs state analysis through a plurality of characteristics such as angle of a knife switch crank arm, over dead point, knife switch contact and the like. The judgment accuracy is higher than 98%, and is higher than that of the traditional manual identification;
The method comprises the steps that through the cooperation of a plurality of NVRs and a plurality of DVRs of front-end camera equipment, the knife switch mode, the knife switch running state and the position information of the equipment are collected in real time, key monitoring is conducted on key areas according to requirements, and tasks are formulated; video linkage is realized with dispatching automation, primary equipment previewing and overall monitoring of sequential control operation tickets are realized, and closed-loop operation is realized with the dispatching automation sequential control operation tickets; intelligent research and judgment are carried out on the disconnecting link opening and closing operation, intelligent research and judgment on the state of disconnecting link equipment is realized through a monitoring picture related to disconnecting link operation, and the state of the disconnecting link equipment is compared with the state of a sequential control operation ticket; realizing butt joint with an OMS subsystem, archiving the running state of the knife switch in the sequential control operation ticket, and transmitting the operation state to the OMS subsystem; detecting abnormal states of the disconnecting link, early warning the situation that the disconnecting link is not in place in sequential control operation, alarming in real time in an auxiliary monitoring system, and transmitting the alarm back to the dispatching automation subsystem; on the premise of condition permission, the one-key sequential control double-confirmation system can be interconnected with other third-party systems to acquire telecontrol information for linkage, so that the visualizations of scheduling and maintenance are realized;
The dispatching automation subsystem, the OMS subsystem and the substation auxiliary subsystem are arranged in the substation;
The system information feedback of the auxiliary regional main station subsystem is penetrated to the first power network region and the second power network region through an SCADA event server arranged in the third power network region;
The auxiliary area main station subsystem is responsible for archiving monitoring pictures of the sequential control operation and uploading the monitoring pictures to the OMS subsystem through an FTP file transfer protocol.
In conclusion, the monitoring picture transmission archiving of the sequential control operation is realized through the cooperation of the OMS subsystem and the auxiliary area main station subsystem;
The system information feedback of the auxiliary regional main station subsystem is penetrated to the first power network region and the second power network region through an SCADA event server arranged in the third power network region;
The intelligent research and judgment analysis subsystem is matched with the substation auxiliary subsystem and the front-end camera equipment to acquire the knife switch mode, the knife switch running state and the position information of the equipment in real time, perform key monitoring on key areas as required and formulate tasks; video linkage is realized with dispatching automation, primary equipment previewing and overall monitoring of sequential control operation tickets are realized, and closed-loop operation is realized with the dispatching automation sequential control operation tickets; intelligent research and judgment are carried out on the disconnecting link opening and closing operation, intelligent research and judgment on the state of disconnecting link equipment is realized through a monitoring picture related to disconnecting link operation, and the state of the disconnecting link equipment is compared with the state of a sequential control operation ticket;
The switch equipment double-confirmation device is matched with the main criterion and the auxiliary criterion, and is used for identifying and processing through an image analysis algorithm, so that double confirmation of equipment states is realized;
The one-key sequential control workstation performs training learning on the personalized selection mode, mines analysis data and stores the mined data.
The specific embodiments described herein are offered by way of example only to illustrate the spirit of the invention. Those skilled in the art may make various modifications or additions to the described embodiments or substitutions thereof without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.

Claims (2)

1. The one-key sequential control video double-confirmation system is characterized in that the dispatching automation subsystem belongs to a first power network area, the one-key sequential control workstation, the OMS subsystem, the auxiliary area master station subsystem, the substation auxiliary subsystem, the front end camera shooting equipment and the switching equipment double-confirmation device belong to a third power network area, sequential control operation instructions of the first power network area and the third power network area are subjected to strong isolation penetration interaction, system information of the auxiliary area master station subsystem is transmitted back to the first power network area and the second power network area through an SCADA event server arranged in the third power network area, and the OMS subsystem and the auxiliary area master station subsystem are in communication connection through an FTP file transmission protocol; the intelligent research and judgment analysis subsystem is in communication connection with the substation auxiliary subsystem and the front-end camera equipment through a station-end data private network;
the one-key sequential control workstation comprises a grading module, an artificial intelligent learning module, a depth mining module and a data storage module, wherein the grading module is used for grading, and the grading content comprises, but is not limited to, a risk grade, a confirmation grade and a processing grade; the artificial intelligent learning module is used for training and learning a mode or a method for personalized processing selection of staff according to the requirements of the site conditions and a result, and storing the mode and the method for personalized selection into the data storage module; the depth mining module is used for mining and analyzing working data for processing the situations occurring on the scene, establishing a data mining model, guaranteeing the accuracy and the model understandability of the model, performing descriptive method data mining, anomaly detection method data mining and predictive method data mining, thereby mining new coping methods, and storing the mined data and the new coping methods into the data storage module;
The auxiliary area master station subsystem comprises an intelligent error prevention host, a one-key sequential control host and a data network shutdown; the substation operator uses the one-key sequential control host to call the one-key sequential control operation ticket, and after the intelligent error prevention host and the one-key sequential control host are subjected to error prevention double check, an operation instruction is issued to the on-site secondary equipment through the spacer layer equipment, so that various operation tasks are completed, and one-key sequential control operation of the substation end is realized; meanwhile, a one-key sequential control workstation and a dispatching automation subsystem are deployed with a one-key sequential control function module, and one-key sequential control of a centralized control station end and a dispatching end is realized through shutdown of a data communication network;
the OMS subsystem is a power failure management system, comprises planned power failure management and fault power failure management, enhances the management of planned power failure, rapidly processes fault power failure, shortens power failure time, improves power supply reliability, provides information of recovering power supply for a fault repair response system, and responds to a user consultation related to recovering power supply in real time, thereby improving the quality of service for the user;
the scheduling automation subsystem can automatically complete a series of operation steps through a preset program and algorithm, so that the chance of manual intervention is reduced, and the technical safety risk caused by manual misoperation is reduced;
the substation auxiliary subsystem comprises a data encryption and network security module, a risk early warning and disposal mechanism module, a periodic maintenance and updating module and a real-time monitoring and early warning module;
The intelligent research and judgment analysis subsystem can collect and analyze the operation data of the equipment in real time, provide the functions of real-time monitoring and early warning of the operation state of the equipment, and provide decision support for operation and maintenance personnel;
The front-end camera equipment comprises, but is not limited to, a plurality of NVRs and a plurality of DVRs, acquires the knife switch mode, the knife switch running state and the position information of the equipment in real time, and performs identification and processing through an image analysis algorithm to realize double confirmation of the equipment state; this helps to reduce the risk of mishandling and missed operations due to human factors; the identification of the knife switch mode is that characteristic points of a real-time image and a template image acquired by a high-definition camera are extracted and matched, and knife switch equipment is stripped from complex background information; the automatic identification of the direction of the disconnecting link arm in the disconnecting link equipment image is realized by using a Hough transformation technology, so that the direction angle of the disconnecting link arm is obtained; the judgment of the switching-on and switching-off in-place reliability of the disconnecting link is realized by comparing the direction of the disconnecting link in the image acquired in real time with the angle information of the disconnecting link specified by the disconnecting link switching-on in-place template; the knife switch operating state includes, but is not limited to, horizontal split, horizontal rotary and vertical crank telescopic;
The switch equipment double-confirmation device carries out double confirmation on the states of the circuit breaker and the isolating switch, and simultaneously correspondingly changes through at least two non-identical principle or non-homologous state indications, and is divided into a main criterion and an auxiliary criterion; the main criteria comprise a breaker double-confirmation main criterion and a disconnecting switch double-confirmation main criterion, the auxiliary criteria comprise a breaker double-confirmation auxiliary criterion and a disconnecting switch auxiliary criterion, the breaker double-confirmation main criterion adopts a breaker closing position and a breaker dividing auxiliary contact, and the breaker auxiliary criterion is acquired three-phase current or voltage; the double-confirmation main criterion of the isolating switch adopts the closing position of the isolating switch and the separating auxiliary contact of the isolating switch, and the auxiliary criterion of the isolating switch is data acquired by a sensor system or a video image recognition system.
2. The one-key sequential control video double-confirmation system according to claim 1, wherein the one-key sequential control operation ticket is an operation sequence for one-key sequential control stored in a transformer substation, and contents include, but are not limited to, an operation object, a current equipment state, a target equipment state, an operation task name, an operation project, an operation condition and a target state, and should be debugged and verified before the one-key sequential control function is put into operation; the operation sequence formed by sequentially combining a plurality of one-key sequential control operation tickets forms a one-key sequential control combined ticket.
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