CN112616041A - Power grid video equipment running state monitoring system and fault analysis method thereof - Google Patents

Power grid video equipment running state monitoring system and fault analysis method thereof Download PDF

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Publication number
CN112616041A
CN112616041A CN202011484259.XA CN202011484259A CN112616041A CN 112616041 A CN112616041 A CN 112616041A CN 202011484259 A CN202011484259 A CN 202011484259A CN 112616041 A CN112616041 A CN 112616041A
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video
diagnosis
power grid
fault
service
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Inventor
李学斌
代东旭
魏东旭
陈超楠
宋曼瑞
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State Grid Corp of China SGCC
Benxi Power Supply Co of Liaoning Electric Power Co Ltd
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State Grid Corp of China SGCC
Benxi Power Supply Co of Liaoning Electric Power Co Ltd
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Priority to CN202011484259.XA priority Critical patent/CN112616041A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • 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]
    • 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
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/02Diagnosis, testing or measuring for television systems or their details for colour television signals

Abstract

The invention belongs to the technical field of power systems, and particularly relates to a power grid video equipment running state monitoring system and a fault analysis method thereof. The diagnosis service module is connected between the power grid unified management platform and the front-end video equipment through a power grid video standard inlet, and comprises an intelligent analysis service module, a streaming media service module, a communication service module and a fault diagnosis analysis service module; through the power grid video equipment running state monitoring and fault analysis method model research, a company can preliminarily analyze and locate specific video fault reasons, initial basis is provided for maintenance, and maintenance efficiency is improved. The equipment fault diagnosis result is fused with the operation and maintenance flow, the equipment with the fault is quickly responded, the equipment maintenance flow is effectively tracked, the equipment maintenance flow is fused with the operation and maintenance personnel for fault troubleshooting and operation and maintenance, and the supporting capacity of the platform for each service link is improved.

Description

Power grid video equipment running state monitoring system and fault analysis method thereof
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a power grid video equipment running state monitoring system and a fault analysis method thereof.
Background
This xi region is widely flung, and the website distributes unevenly, and video equipment is in large quantity, and the operation maintenance degree of difficulty is great, and the platform mainly provides rough equipment access state information (equipment from/on-line state) at present, can't carry out preliminary analysis, location to concrete reason, for overhauing providing initial basis, improves maintenance efficiency. In addition, the equipment fault diagnosis result is not fused with the operation and maintenance flow, so that the equipment with the fault cannot respond quickly, the equipment maintenance flow cannot be effectively tracked, and the equipment maintenance flow is disconnected with the troubleshooting and operation and maintenance of operation and maintenance staff. Therefore, it is necessary to develop a functional study for accurately analyzing and diagnosing equipment faults, and to better improve the supporting capability of the platform on each business link.
Disclosure of Invention
Aiming at the problems, the invention provides a power grid video equipment running state monitoring system and a fault analysis method thereof in order to solve the defects in the prior art.
The technical scheme of the invention is as follows:
a power grid video equipment running state monitoring system, a diagnosis service module is connected between a power grid unified management platform and front-end video equipment through a power grid video standard inlet,
the diagnosis service module comprises an intelligent analysis service module, a streaming media service module, a communication service and a fault diagnosis analysis service module;
communication service: SIP communication service functions between platforms, between platforms and service systems and between platforms and front end systems are realized, and the functions comprise registration and authentication information forwarding and access proxy functions;
and (3) management service: the video monitoring platform bears the functions of data management service and service drive, and other services in the platform are combined together through the management service to form a platform capable of providing systematic service;
streaming media service: the system is characterized in that a media stream forwarding and distributing service module in a platform realizes the forwarding and distributing functions of audio and video data under the cooperative control of a communication service module and a management service module, a plurality of streaming media service modules can be arranged in one platform and controlled by the management service module to balance the conditions of multiple paths of media streams; in the forwarding and distribution strategy, the streaming media service module only forwards and distributes aiming at the access of the front-end equipment, but not distributes the connection between the user and the client and only forwards the connection; meanwhile, the monitoring function of the network flow is supported;
fault analysis and diagnosis service: mainly undertake the diagnosis and analysis functions of network diagnosis, video quality and the self fault of the equipment; the method comprises the steps of diagnosis standard, task management, diagnosis result, inspection work order, diagnosis statistics, fault knowledge base and fault fan management;
intelligent analysis service: performing intelligent analysis on the video picture label; the method mainly comprises algorithm management, label management and intelligent analysis character management; calling front-end video equipment data, and further intelligently analyzing and forwarding the data through an intelligent algorithm to form a video picture label;
the power grid video equipment running state monitoring module is connected between the power grid unified management platform and the front-end video equipment through a power grid video standard inlet; the front-end equipment transmits the video data to the power grid video equipment running state monitoring module through the power grid video standard interface, and transmits the analysis result to the power grid unified video monitoring platform through the power grid video standard inlet through data intelligent analysis.
A fault analysis method for a power grid video equipment running state monitoring system is characterized in that when a fault occurs, a diagnosis standard is established in a background, then a diagnosis task is established, a diagnosed device is selected, then the task is executed, and a final result of device diagnosis can be seen in a diagnosis result module.
An inspection work order can be added for automatic inspection; historical diagnostic statistics can be reviewed, a fault knowledge base can be established, and a fault level can be established.
The types of the diagnostic criteria include video signal, video freeze, sharpness, brightness too high, brightness too low, and video color.
The diagnosis task is to select the diagnosis time period, the frequency of the task and the type of diagnosis.
The types of diagnosis comprise a network diagnosis type, an equipment fault type and a video quality type.
The main advantages of the invention are:
through the power grid video equipment running state monitoring and fault analysis method model research, a company can preliminarily analyze and locate specific video fault reasons, initial basis is provided for maintenance, and maintenance efficiency is improved. The equipment fault diagnosis result is fused with the operation and maintenance flow, the equipment with the fault is quickly responded, the equipment maintenance flow is effectively tracked, the equipment maintenance flow is fused with the operation and maintenance personnel for fault troubleshooting and operation and maintenance, and the supporting capacity of the platform for each service link is improved.
Description of the drawings:
FIG. 1 is a model of a system for monitoring the operating state of a power grid video device;
FIG. 2 is a conceptual data model of a power grid video equipment operating condition monitoring system;
FIG. 3 is a logic data model of a power grid video equipment operation state monitoring system;
FIG. 4 is a conceptual model of fault diagnosis management of a power grid video equipment operation state monitoring system;
FIG. 5 is a conceptual model of fault diagnosis of a monitoring system of the operation state of a power grid video device;
Detailed Description
The present invention is described in detail below by way of examples.
Example 1
Specifically, the description is provided with the accompanying drawing, wherein a first drawing is a power grid unified video monitoring model with intelligent analysis service, is a power grid unified video monitoring platform which is currently applied, and is mainly used for data display, data acquisition and the like of terminal equipment; thirdly, the video equipment is heavily distributed in all areas; and the power grid video equipment running state monitoring module is connected between the power grid unified management platform and the front-end video equipment through a power grid video standard inlet. The front-end equipment transmits the video data to the power grid video equipment running state monitoring module through the power grid video standard interface, and transmits the analysis result to the power grid unified video monitoring platform through the power grid video standard inlet through data intelligent analysis.
The diagnosis service module comprises an intelligent analysis service module, a streaming media service module, a communication service and a fault diagnosis analysis service module;
communication service: SIP communication service functions between platforms, between platforms and service systems and between platforms and front end systems are realized, and the functions comprise registration and authentication information forwarding and access proxy functions;
and (3) management service: the video monitoring platform bears the functions of data management service and service drive, and other services in the platform are combined together through the management service to form a platform capable of providing systematic service;
streaming media service: the system is characterized in that a media stream forwarding and distributing service module in a platform realizes the forwarding and distributing functions of audio and video data under the cooperative control of a communication service module and a management service module, a plurality of streaming media service modules can be arranged in one platform and controlled by the management service module to balance the conditions of multiple paths of media streams; in the forwarding and distribution strategy, the streaming media service module only forwards and distributes aiming at the access of the front-end equipment, but not distributes the connection between the user and the client and only forwards the connection; meanwhile, the monitoring function of the network flow is supported;
fault analysis and diagnosis service: mainly undertake the diagnosis and analysis functions of network diagnosis, video quality and the self fault of the equipment; the method comprises the steps of diagnosis standard, task management, diagnosis result, inspection work order, diagnosis statistics, fault knowledge base and fault fan management;
intelligent analysis service: performing intelligent analysis on the video picture label; the method mainly comprises algorithm management, label management and intelligent analysis person management. Calling front-end video equipment data, and further intelligently analyzing and forwarding the data through an intelligent algorithm to form a video picture label;
the working principle is as follows: the running states of all video equipment accessed into the system are monitored, the fault diagnosis management service is ensured to find the fault at the first time, and the fault is analyzed in time through the intelligent analysis management service (including algorithm management, label management, algorithm and label association and intelligent analysis task management). The intelligent analysis task management in the intelligent analysis management service (by applying a MapReduce distributed computation framework, a computation task is decomposed and dispatched to a plurality of computation nodes, the rapid concentration and the efficient retrieval of mass video data are realized, a video semantic tag library is formed by performing tagging processing on unstructured videos, the structured retrieval and the rapid positioning of the video data are realized, and the rapid feedback knowledge assistance) is used for diagnosing, analyzing and positioning faults occurring in the operation process of platform video equipment, assisting operation and maintenance maintainers to rapidly eliminate faults, position fault reasons and solve problems, and improving the efficiency of operation and maintenance.
A power grid video equipment running state monitoring system and a fault analysis and diagnosis standard thereof are as follows:
1. fault diagnosis criteria basic item information Table (ANALYSIS _ DIAGNOSTIC _ BASE _ INFO)
Figure BDA0002838911380000031
Figure BDA0002838911380000041
Figure BDA0002838911380000042
1.1 Fault diagnosis result status information Table (ANALYSIS _ DIAGNOSTIC _ GRADE _ INFO)
Figure BDA0002838911380000043
Figure BDA0002838911380000044
1.2 Fault diagnosis criteria information Table (ANALYSIS _ DIAGNOSTIC _ INFO)
Figure BDA0002838911380000051
Figure BDA0002838911380000052
1.3 Fault diagnosis TIME PLAN information Table (ANALYSIS _ TIME _ PLAN _ INFO)
Figure BDA0002838911380000053
Figure BDA0002838911380000061
Figure BDA0002838911380000062
1.4 Fault diagnosis criteria and RESOURCEs associated information Table (ANALY _ DIAGNOSTIC _ TO _ RESOURCE)
Figure BDA0002838911380000063
Figure BDA0002838911380000071
2. Fault diagnosis method and group
2.1 ANALYSIS METHOD information Table for Fault diagnosis (ANALYSIS _ ANALYTIC _ METHOD _ INFO)
Figure BDA0002838911380000072
Figure BDA0002838911380000073
2.2 DIAGNOSTIC type and DIAGNOSTIC item association information Table (ANALYTIC _ TO _ DIAGNOSTIC _ INFO)
Figure BDA0002838911380000074
Figure BDA0002838911380000081
2.3 DIAGNOSTIC item and DIAGNOSTIC sub item association information Table (ANALYTIC _ TO _ DIAGNOSTIC _ BASE)
Figure BDA0002838911380000082
Figure BDA0002838911380000083
2.4 Fault diagnosis task information Table (ANALYSIS _ PLAN _ INFO)
Figure BDA0002838911380000084
Figure BDA0002838911380000091
Figure BDA0002838911380000092
Figure BDA0002838911380000101
2.5 diagnostic task diagnostic METHOD associated information Table (ANALYSIS _ PLAN _ TO _ METHOD)
Figure BDA0002838911380000102
Figure BDA0002838911380000103
Figure BDA0002838911380000111
2.6 Fault diagnosis PLAN STATUS record information Table (ANALYSIS _ PLAN _ STATUS _ INFO)
Figure BDA0002838911380000112
Figure BDA0002838911380000113
2.7 Fault diagnosis PLAN and RESOURCE associated information Table (ANALYSIS _ PLAN _ TO _ RESOURCE)
Figure BDA0002838911380000114
Figure BDA0002838911380000121
Figure BDA0002838911380000122
3. Results of fault diagnosis analysis
3.1 Equipment failure LEVEL information Table (HITCH _ LEVEL _ INFO)
Figure BDA0002838911380000123
Figure BDA0002838911380000124
3.2 Fault LEVEL and diagnosis basic item correlation information Table (HITCH _ LEVEL _ TO _ DIAGNOSTICBASE)
Figure BDA0002838911380000125
Figure BDA0002838911380000131
3.3. Equipment diagnosis information table (DEV _ TASK _ RESULT _ INFO)
Figure BDA0002838911380000132
Figure BDA0002838911380000133
Figure BDA0002838911380000141
3.4 detailed information Table of device diagnostic information subentry (DEV _ TASK _ RESULT _ DETAILS _ INFO)
Figure BDA0002838911380000151
Figure BDA0002838911380000152
3.5 diagnostic worksheet information Table (ANALYSIS _ ORDER _ INFO)
Figure BDA0002838911380000153
Figure BDA0002838911380000161
3.6 work ORDER DETAIL information Table (ORDER _ DETAIL _ INFO)
Figure BDA0002838911380000171
Figure BDA0002838911380000172
3.7 diagnostic error description information Table (ANALYSIS _ RESULT _ DESC _ INFO)
Figure BDA0002838911380000173
Figure BDA0002838911380000181
Figure BDA0002838911380000182
3.8 Fault KNOWLEDGE base information Table (FAULT _ KNOWLEDGE _ INFO)
Figure BDA0002838911380000183
Figure BDA0002838911380000184
Figure BDA0002838911380000191
3.9 worksheet and knowledge base association information Table (ORDER _ DETAIL _ TO _ FAULTKNOWLEDGE)
Figure BDA0002838911380000192
Figure BDA0002838911380000193
Application effects
Interface A is used for standardizing the unified access of the business system, and interface B is used for standardizing the access of the front-end video monitoring equipment.
The front-end video equipment transmits interface configuration information of the monitoring equipment into a video platform in an interface B mode or other modes, the video platform provides functions of equipment dynamic access management, authorization management, resource pushing, equipment naming management, equipment and field dynamic hanging and binding, equipment use track tracing and the like according to the flexible access requirement, finally access of flexible access videos of production and operation fields is achieved, a service system provides an OCX integrated control to access a field real-time video picture through a unified video platform, and a monitoring client deploys a unified video platform C/S application client to access the field real-time video picture;
equipment fault diagnosis service and intelligent analysis service: the intelligent analysis service of other manufacturers is integrated, the data of the monitoring equipment enters the intelligent analysis front end through an interface B or other interface modes, and the data are forwarded to the foreground for display through the intelligent analysis service.
Has the advantages that:
1. the method has the advantages that the fault occurring in the operation process of the platform video equipment is diagnosed, analyzed and positioned, operation and maintenance maintainers are assisted to quickly troubleshoot faults, the fault reason is positioned and problems are solved, and the operation and maintenance efficiency is improved;
2. the fault diagnosis management realizes quick response to the maintenance of platform fault equipment, tracks and processes each link of the equipment maintenance flow in real time, and standardizes the equipment operation and maintenance flow;
3. and forming an equipment operation defect library to provide data support for subsequent type selection and network configuration standardization of the video monitoring equipment.

Claims (6)

1. A power grid video equipment running state monitoring system is characterized in that a diagnosis service module is connected between a power grid unified management platform and front-end video equipment through a power grid video standard inlet,
the diagnosis service module comprises an intelligent analysis service module, a streaming media service module, a communication service and a fault diagnosis analysis service module;
communication service: SIP communication service functions between platforms, between platforms and service systems and between platforms and front end systems are realized, and the functions comprise registration and authentication information forwarding and access proxy functions;
and (3) management service: the video monitoring platform bears the functions of data management service and service drive, and other services in the platform are combined together through the management service to form a platform capable of providing systematic service;
streaming media service: the system is characterized in that a media stream forwarding and distributing service module in a platform realizes the forwarding and distributing functions of audio and video data under the cooperative control of a communication service module and a management service module, a plurality of streaming media service modules can be arranged in one platform and controlled by the management service module to balance the conditions of multiple paths of media streams; in the forwarding and distribution strategy, the streaming media service module only forwards and distributes aiming at the access of the front-end equipment, but not distributes the connection between the user and the client and only forwards the connection; meanwhile, the monitoring function of the network flow is supported;
fault analysis and diagnosis service: mainly undertake the diagnosis and analysis functions of network diagnosis, video quality and the self fault of the equipment; the method comprises the steps of diagnosis standard, task management, diagnosis result, inspection work order, diagnosis statistics, fault knowledge base and fault fan management;
intelligent analysis service: performing intelligent analysis on the video picture label; the method mainly comprises algorithm management, label management and intelligent analysis character management; calling front-end video equipment data, and further intelligently analyzing and forwarding the data through an intelligent algorithm to form a video picture label;
the power grid video equipment running state monitoring module is connected between the power grid unified management platform and the front-end video equipment through a power grid video standard inlet; the front-end equipment transmits the video data to the power grid video equipment running state monitoring module through the power grid video standard interface, and transmits the analysis result to the power grid unified video monitoring platform through the power grid video standard inlet through data intelligent analysis.
2. A fault analysis method of a power grid video equipment running state monitoring system is characterized in that: when a fault occurs, a diagnosis standard is established in a background, then a diagnosis task is established, a diagnosed device is selected, then the task is executed, and the final result of device diagnosis can be seen in a diagnosis result module.
3. The method for analyzing the faults of the power grid video equipment operation state monitoring system according to claim 2, wherein the method comprises the following steps: an inspection work order can be added for automatic inspection; historical diagnostic statistics can be reviewed, a fault knowledge base can be established, and a fault level can be established.
4. The method for analyzing the faults of the power grid video equipment operation state monitoring system according to claim 2, wherein the method comprises the following steps: the types of the diagnostic criteria include video signal, video freeze, sharpness, brightness too high, brightness too low, and video color.
5. The method for analyzing the faults of the power grid video equipment operation state monitoring system according to claim 2, wherein the method comprises the following steps: the diagnosis task is to select the diagnosis time period, the frequency of the task and the type of diagnosis.
6. The method for analyzing the faults of the power grid video equipment operation state monitoring system according to claim 5, wherein the method comprises the following steps: the types of diagnosis comprise a network diagnosis type, an equipment fault type and a video quality type.
CN202011484259.XA 2020-12-16 2020-12-16 Power grid video equipment running state monitoring system and fault analysis method thereof Pending CN112616041A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
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CN113541321A (en) * 2021-09-17 2021-10-22 广东电网有限责任公司东莞供电局 Industrial power grid intelligent operation and maintenance system based on big data fault diagnosis and detection

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Application publication date: 20210406