CN114709923A - Intelligent fault judgment method for power Internet of things - Google Patents
Intelligent fault judgment method for power Internet of things Download PDFInfo
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- CN114709923A CN114709923A CN202210321395.XA CN202210321395A CN114709923A CN 114709923 A CN114709923 A CN 114709923A CN 202210321395 A CN202210321395 A CN 202210321395A CN 114709923 A CN114709923 A CN 114709923A
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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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
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- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an intelligent fault judgment method for an electric power Internet of things, which comprises the following steps: s1: the intelligent fault diagnosis system architecture of the power Internet of things is divided into a sensing layer, a communication layer and an application layer; s2: establishing a perception layer; s3: establishing a communication layer; s4: establishing an application layer; s5: and constructing a maintenance scheduling module. According to the invention, the equipment state information in the information platform of the Internet of things is analyzed by matching of all modules, the fault type of the equipment is judged according to a certain criterion, and the fault diagnosis framework sends the diagnosis result and the related maintenance decision to the maintainer and the related responsible person in a short message form in real time, so that the hidden trouble of the equipment fault is eliminated in time, the equipment is maintained, unnecessary accidents are reduced, and the real-time performance of fault diagnosis can be effectively guaranteed.
Description
Technical Field
The invention relates to a power transmission technology, in particular to an intelligent fault judgment method for a power internet of things.
Background
The electric power internet of things is an intelligent service system which fully applies modern information technologies such as mobile interconnection, artificial intelligence and the like and advanced communication technologies around each link of an electric power system, realizes the mutual object interconnection and man-machine interaction of each link of the electric power system, and has the characteristics of comprehensive state perception, efficient information processing and convenient and flexible application. The power distribution network directly contacts users, and the reliable power supply capacity and the power supply quality of the power distribution network are direct reflection of economic benefits of power enterprises and correspond to immeasurable social benefits. Distribution line on-line monitoring is an important content of distribution automation, has great influence on improving power supply reliability, and is paid more and more attention.
The power distribution system is complicated due to a plurality of branch lines, and a great amount of manpower, material resources and time are consumed for finding a specific fault position when a short-circuit fault occurs. If the traditional manual fault finding mode is still adopted, the workload is large, and the real-time performance, the accuracy, the applicability and the like are seriously insufficient.
Therefore, the traditional manual troubleshooting mode for quickly changing the faults of the distribution lines needs to rely on the modern digital communication technology, the computer software and hardware technology, the online monitoring automatic measurement technology, the geographic information application technology and the like; an intelligent fault judgment method based on the power internet of things is provided, so that the power supply reliability, the working efficiency of a power supply department and the automatic management level are greatly improved.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an intelligent fault judgment method for an electric power Internet of things, so that the hidden trouble of equipment fault can be eliminated in time, the equipment can be maintained, and unnecessary accidents can be reduced.
The technical scheme is as follows: the invention relates to an intelligent fault judgment method of an electric power Internet of things, which comprises the following steps of:
s1: the intelligent fault diagnosis system architecture of the power Internet of things is divided into a sensing layer, a communication layer and an application layer;
s2: establishing a perception layer: the sensing layer comprises a line sensor network in a power transmission link, a power transformation equipment sensor group in a power transformation link and a radio frequency identification and coding identification module for power equipment maintenance, so that the power transmission equipment and the power transformation equipment of the power internet of things can be sensed and monitored on line;
s3: establishing a communication layer: the power transmission link is mainly realized by a wireless communication technology, information transmission is realized by utilizing wireless transceiving modules among power transmission nodes, and the power transformation equipment realizes the transmission of the operation state information and the self information of the power transformation equipment in a wired and wireless combined transmission mode;
s4: establishing an application layer: the online monitoring platform completes access, aggregation, storage, processing and display of various information in the Internet of things of the power transmission and transformation equipment, the technology of the construction of the monitoring platform comprises a database, data storage and data display, real-time monitoring of online monitoring information, routing inspection information, scheduling operation information, production management information and public safety information can be realized, the online monitoring platform is packaged according to a panoramic information model through a uniform data interface, mapping from the panoramic information model to the database is completed, and the information is stored into a corresponding database after being preliminarily processed by extraction, conversion and loading tools;
s5: constructing a maintenance scheduling module: the overhaul scheduling module is used for scheduling overhaul teams and corresponding personnel to notify abnormal conditions, the overhaul teams and the corresponding personnel are provided with scheduling notification equipment connected through a wireless communication technology, and can receive and send information with the online monitoring platform in real time for interacting overhaul scheduling information and overhaul completion receipt information.
The line sensor network in the S2 comprises a wireless intelligent acceleration sensor, a temperature sensor, a humidity sensor, a sag sensor and a wind speed sensor, wherein sensor equipment in the line sensor network is arranged on a tower of a line.
And the transformer equipment sensor group in the S2 detects the composition and concentration of various gases generated by the decomposition of the transformer oil by adopting a DGA method to determine the fault state, and comprises a core-through current sensor, a current transformer and a micro-water sensor.
And the radio frequency identification and code identification module in the S2 comprises a device identification code and a device identification RFID tag, and the device identification code and the device identification RFID tag can generate panoramic state information under the panoramic situation perception system.
A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described intelligent failure determination method for an electric power internet of things.
A computer device comprises a storage, a processor and a computer program which is stored on the storage and can run on the processor, wherein the processor executes the computer program to realize the intelligent fault judgment method of the power internet of things.
Has the advantages that: compared with the prior art, the invention has the following advantages:
1. the invention analyzes the longitudinal and transverse equipment state information in the information platform of the Internet of things, acquires the complementary and redundant information of the information in time and space, comprehensively and accurately describes the diagnosed equipment, and judges the fault type of the equipment according to a certain criterion, and the fault diagnosis framework sends the diagnosis result and the related maintenance decision in real time to the maintainers and the related responsible persons in the form of short messages, so that the hidden danger of equipment fault can be timely eliminated, the equipment can be maintained, the occurrence of some unnecessary accidents is reduced, and the real-time performance of fault diagnosis can be effectively guaranteed;
2. on the basis of the panoramic information integration platform, the invention can also establish modules of state evaluation, risk evaluation, cost analysis and the like, thereby better providing management service for the whole life cycle of the power transmission and transformation equipment.
Drawings
Fig. 1 is a fault judgment flow chart of an intelligent fault judgment method of an electric power internet of things provided by the invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
Referring to fig. 1, an intelligent fault judgment method for an electric power internet of things includes the following steps:
s1: the intelligent fault diagnosis system architecture of the power Internet of things is divided into a sensing layer, a communication layer and an application layer;
s2: establishing a perception layer: the sensing layer comprises a line sensor network in a power transmission link, a power transformation equipment sensor group in a power transformation link and a radio frequency identification and coding identification module for power equipment maintenance, so that the power transmission equipment and the power transformation equipment of the power internet of things can be sensed and monitored on line;
s3: establishing a communication layer: the power transmission link is mainly realized through a wireless communication technology, information transmission is realized by utilizing wireless transceiving modules among all power transmission nodes, and the transmission of the operation state information and the self information of the power transformation equipment is realized by the power transformation equipment through a transmission mode combining wired and wireless;
s4: establishing an application layer: the online monitoring platform completes access, aggregation, storage, processing and display of various information in the Internet of things of the power transmission and transformation equipment, the technology of the construction of the monitoring platform comprises a database, data storage and data display, real-time monitoring of online monitoring information, routing inspection information, scheduling operation information, production management information and public safety information can be realized, the online monitoring platform is packaged according to a panoramic information model through a uniform data interface, mapping from the panoramic information model to the database is completed, and the information is stored into a corresponding database after being preliminarily processed by extraction, conversion and loading tools;
s5: constructing a maintenance scheduling module: the overhaul scheduling module is used for scheduling overhaul teams and corresponding personnel to notify abnormal conditions, the overhaul teams and the corresponding personnel are provided with scheduling notification equipment connected through a wireless communication technology, and can receive and send information with the online monitoring platform in real time for interacting overhaul scheduling information and overhaul completion receipt information.
The line sensor network comprises a wireless intelligent acceleration sensor, a temperature sensor, a humidity sensor, a sag sensor and a wind speed sensor, wherein sensor equipment in the line sensor network is arranged on a tower of a line, an intelligent acceleration sensor chip horizontal inclination angle module adopted is WT31, and the models of the temperature sensor, the humidity sensor, the sag sensor and the wind speed sensor are DS18B20, CJ-HR31, HVT810T and AFMD101 modules respectively.
The transformer equipment sensor group comprises a core-through current sensor, a current transformer and a micro-water sensor, wherein the core-through current sensor, the current transformer and the micro-water sensor are respectively of LCTA71CDGA, LMZJ1-0.5 and EA2-TX-100, and DGA test is used as a tool for determining the running state of the transformer, can reflect the problems in several aspects and identify the degradation of insulating oil, and can be used for detecting early faults such as electric arcs, partial discharge and overheating of an insulating system;
the radio frequency identification and coding identification module comprises an equipment identification code and an equipment identification RFID tag, the equipment identification code and the equipment identification RFID tag generate panoramic state information under the panoramic situation perception system, the panoramic vision situation perception system is a 360-degree panoramic visualization system and is suitable for various scenes needing large-range monitoring, the perception system is used for obtaining panoramic information of the surrounding environment, the observation and detection range is not limited, and the overall management and control of the power transmission and transformation equipment are realized.
Specifically, in the power transmission link, wireless intelligent acceleration, temperature, humidity, sag, wind speed and other sensors are installed on an overhead line, and an inclination sensor is deployed on a tower to acquire state information of line temperature, icing, galloping, breeze vibration, wind speed, tower inclination angle and the like. The sensors form a sensor network according to a certain mode, sense information is transmitted to a sink node comprising a wireless transceiver in a multi-hop mode, and then the information is transmitted to an online monitoring center through a mobile communication network;
in the power transformation link, a plurality of types of sensors are deployed on power transformation equipment, state information such as dissolved gas content, local discharge capacity, micro-water content in oil, leakage current and the like in oil is acquired, and information acquired by nodes is transmitted to a substation monitoring center in a mode of power optical fiber network or power line carrier and the like after being transmitted by a ZigBee network, and is synchronized to an online monitoring center;
the radio frequency identification and coding identification system is applied to the whole life cycle management of the power transmission and transformation equipment, the equipment is uniformly coded, the RFID tag is implanted into the equipment, the panoramic state information is utilized and is simultaneously associated with the attribute of the equipment body, the asset is subjected to identity management, state monitoring, state evaluation and residual life estimation, and the Internet of things is applied to the whole life cycle management of the power asset, so that the timely updating and maintenance frequency change of a power transmission equipment framework and the power transformation equipment are ensured, and the stability of a power connection end of the power transmission and transformation equipment is improved;
the online monitoring center fully excavates and integrates according to the equipment monitoring information and the basic information that gather, carries out advanced application analysis such as state assessment, prediction early warning, failure diagnosis, risk assessment to in time inform maintenance teams and corresponding personnel abnormal conditions, through utilizing the dispatch that maintainer is close to and the work progress combines in the maintenance scheduling module, improve maintenance and maintenance efficiency in the power transmission and transformation equipment.
Claims (6)
1. An intelligent fault judgment method for an electric power Internet of things is characterized by comprising the following steps:
s1: the intelligent fault diagnosis system architecture of the power Internet of things is divided into a sensing layer, a communication layer and an application layer;
s2: establishing a perception layer: the sensing layer comprises a line sensor network in a power transmission link, a power transformation equipment sensor group in a power transformation link and a radio frequency identification and coding identification module for power equipment maintenance, so that the power transmission equipment and the power transformation equipment of the power internet of things can be sensed and monitored on line;
s3: establishing a communication layer: the power transmission link is mainly realized by a wireless communication technology, information transmission is realized by utilizing wireless transceiving modules among power transmission nodes, and the power transformation equipment realizes the transmission of the operation state information and the self information of the power transformation equipment in a wired and wireless combined transmission mode;
s4: establishing an application layer: the online monitoring platform completes access, aggregation, storage, processing and display of various information in the Internet of things of the power transmission and transformation equipment, the technology for constructing the monitoring platform comprises a database, data storage and data display, real-time monitoring of online monitoring information, routing inspection information, scheduling operation information, production management information and public safety information can be realized, the online monitoring platform is packaged according to a panoramic information model through a unified data interface, mapping from the panoramic information model to the database is completed, and the panoramic information model is stored in the corresponding database after being preliminarily processed by extraction, conversion and loading tools;
s5: constructing a maintenance scheduling module: the overhaul scheduling module is used for scheduling overhaul teams and corresponding personnel to notify abnormal conditions, the overhaul teams and the corresponding personnel are provided with scheduling notification equipment connected through a wireless communication technology, and can receive and send information with the online monitoring platform in real time for interacting overhaul scheduling information and overhaul completion receipt information.
2. The intelligent fault judgment method of the Internet of things for electric power according to claim 1, wherein the line sensor network in the S2 comprises a wireless intelligent acceleration sensor, a temperature sensor, a humidity sensor, a sag sensor and a wind speed sensor, and sensor equipment in the line sensor network is arranged on a tower of a line.
3. The method for intelligently judging faults of the internet of things of electric power according to claim 1, wherein a DGA method is adopted by the power transformation equipment sensor group in S2 to detect the composition and concentration of various gases generated by decomposition of a transformer oil so as to determine the fault state, and the power transformation equipment sensor group comprises a core-through current sensor, a current transformer and a micro-water sensor.
4. The intelligent fault judgment method of the power internet of things as claimed in claim 1, wherein the radio frequency identification and code identification module in S2 comprises a device identification code and a device identification RFID tag, and the device identification code and the device identification RFID tag can generate panoramic status information under a panoramic situation awareness system.
5. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent failure determination method for the power internet of things as claimed in any one of claims 1 to 4.
6. A computer device comprising a storage, a processor and a computer program stored on the storage and executable on the processor, wherein the processor implements the intelligent fault diagnosis method for the power internet of things as claimed in any one of claims 1 to 4 when executing the computer program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210321395.XA CN114709923A (en) | 2022-03-30 | 2022-03-30 | Intelligent fault judgment method for power Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116308887A (en) * | 2023-05-12 | 2023-06-23 | 北京迅巢科技有限公司 | Intelligent power distribution integrated platform model construction method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116308887A (en) * | 2023-05-12 | 2023-06-23 | 北京迅巢科技有限公司 | Intelligent power distribution integrated platform model construction method |
| CN116308887B (en) * | 2023-05-12 | 2023-08-11 | 北京迅巢科技有限公司 | Intelligent power distribution integrated platform model construction method |
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