CN113110386A - GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system - Google Patents
GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system Download PDFInfo
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Abstract
The invention relates to a GIS/GIL equipment mechanical vibration state online monitoring and mechanical fault cloud diagnosis system, and belongs to the field of equipment monitoring. The GIS/GIL equipment mechanical vibration state online monitoring and mechanical fault cloud diagnosis system comprises vibration distributed sensing layers of different air chambers and components of the GIS/GIL equipment, a network communication layer of operation information of the GIS/GIL equipment cloud diagnosis system and an application layer of the GIS/GIL equipment cloud diagnosis system. The invention establishes a distributed vibration mode monitoring network and develops omnibearing real-time vibration signal acquisition. Based on the vibration intelligent detection terminal, the distributed network is subjected to acquisition, communication and analysis, an edge calculation technology is introduced, and GIS/GIL equipment operation mode monitoring operation is carried out based on field data. The intelligent operation and maintenance of the power equipment are realized through the functions of accessing and processing the interactive data of the multiple transformer substations and the like of the GIS/GIL equipment cloud diagnosis platform.
Description
Technical Field
The invention belongs to the field of equipment monitoring, and relates to a GIS/GIL equipment mechanical vibration state online monitoring and mechanical fault cloud diagnosis system.
Background
Gas Insulated Switchgear (GIS) and Gas insulated transmission lines (GIL) have the unique advantages of small floor space, large transmission capacity, high reliability, good environmental compatibility and the like, and are widely popularized. However, in the GIS/GIL equipment in operation in recent years, abnormal sound vibration phenomena caused by latent mechanical defects are frequent, such as jamming of an operating mechanism, abnormal contact of a conductive circuit, unbalanced butt joint of a shell, fatigue loosening of parts, bolt loosening and the like. The long-term abnormal sound vibration of the GIS/GIL equipment can cause the phenomena of equipment gas leakage, loop temperature rise increase, basin-type insulator or insulating support damage, shell grounding point suspension and the like, and insulation accidents are caused in serious cases.
The vibration signal analysis and monitoring can reflect the mechanical state characteristic change of the internal mechanism of the GIS/GIL equipment, and the electrified monitoring of the equipment is easy to realize. Therefore, real-time monitoring and defect diagnosis of the vibration state of the GIS/GIL equipment are carried out, potential safety hazards can be eliminated as soon as possible, and safe and stable operation of the equipment is guaranteed. The invention provides a GIS bus vibration condition monitoring device and a monitoring method, provides a monitoring terminal for abnormal vibration of a GIS bus in the operation process, and can perform early warning operation according to a vibration threshold value. The invention provides a GIS abnormal vibration analysis and mechanical fault diagnosis device and method, which combines a local data abnormal vibration analysis and fault diagnosis server and a remote monitoring GIS abnormal vibration analysis and diagnosis device. The invention provides a detail characteristic quantity extraction and intelligent analysis method for GIS vibration defect identification, and provides a system and a method integrating GIS equipment vibration signal acquisition, characteristic extraction and defect diagnosis, and mainly aims at integrally carrying out mechanical defect diagnosis on tested GIS equipment. Summarizing, the following problems still exist in the aspect of the mechanical vibration online monitoring device and the diagnosis system of the existing GIS/GIL equipment:
1) in the aspect of GIS/GIL equipment signal acquisition, the traditional vibration measurement terminal mainly carries out vibration detection or monitoring on a single air chamber or the whole equipment, and the influences of structural differences and load sizes of different air chambers of the GIS/GIL equipment are not considered. On the other hand, the existing vibration detection terminal of the GIS/GIL equipment only performs diagnosis and analysis on vibration signals, but certain correlation exists between the vibration of the equipment and factors such as electric energy quality, partial discharge and mechanism operation, so that intelligent diagnosis of information interaction and fusion is necessary to be performed on various types of data of the GIS/GIL equipment.
2) In the aspect of GIS/GIL equipment mechanical defect diagnosis, a traditional GIS/GIL equipment vibration analysis system is mostly based on a diagnosis analysis module of a detection terminal on the ground, and has a single analysis function, but the GIS/GIL equipment is large in quantity, complex in defect type and working condition, small in database data volume of the terminal on the ground and limited in calculation capacity, so that the diagnosis system is difficult to carry out deep analysis of the GIS/GIL equipment in transportation.
3) In the aspect of a GIS/GIL equipment cloud service system, the traditional Internet of things platform data adopts a centralized processing and management mode of cloud unified processing and unified management, most of the GIS/GIL equipment in the operation process is data with lower effective information level, and the centralized processing can cause the problems of low processing efficiency, large data transmission quantity, strong time delay and the like.
Aiming at the technology and the defects, the invention provides a GIS/GIL equipment mechanical state online monitoring and fault intelligent cloud diagnosis system based on an Internet of things platform. Compared with the existing GIS/GIL equipment mechanical state identification and diagnosis technology, the GIS/GIL equipment mechanical state identification and diagnosis method mainly comprises the following three technical contents: firstly, on a GIS/GIL equipment sensing layer, a distributed vibration mode monitoring network is established in the system, and omnibearing real-time vibration signal acquisition is carried out on main functional components of different intervals and air chambers of the GIS/GIL equipment. Meanwhile, multiple signals such as partial discharge, ultrasound, voltage, current and the like of the GIS/GIL equipment are accessed. Then, on a network layer, the system carries out acquisition, communication and analysis on a distributed network based on a vibration intelligent detection terminal, introduces an edge computing technology and carries out operations such as GIS/GIL equipment operation mode monitoring, on-site intelligent analysis, function remote maintenance, equipment safety control, data uploading communication and the like based on field data. And finally, on an application layer, the intelligent operation and maintenance of the power equipment are realized through the functions of accessing, processing, maintaining, diagnosing, data mining, accident maintenance and the like of the GIS/GIL equipment cloud diagnosis platform on the interactive data of the multiple substations.
Disclosure of Invention
In view of the above, the present invention is directed to providing a GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system. The system realizes intelligent operation and maintenance of the mechanical state of the GIS/GIL equipment of the transformer substation through modes of distributed vibration signal sensing, multi-terminal data fusion, edge intelligent analysis, cloud maintenance diagnosis and the like, has the characteristics of interactivity, globality and visibility, and has important engineering practical significance.
In order to achieve the purpose, the invention provides the following technical scheme:
the GIS/GIL equipment mechanical vibration state online monitoring and mechanical fault cloud diagnosis system comprises vibration distributed sensing layers of different air chambers and components of the GIS/GIL equipment, a network communication layer of operation information of the GIS/GIL equipment cloud diagnosis system and an application layer of the GIS/GIL equipment cloud diagnosis system.
Optionally, the vibration distributed sensing layer of different air chambers and components of the GIS/GIL device is composed of a signal monitoring network, including a vibration distributed mode monitoring network and other operation information sensing networks of the device, and further data access and analysis are carried out by the signal conditioning terminal, the data acquisition terminal, the data analysis processing terminal and the data communication terminal.
Optionally, monitoring objects of the vibration distributed mode monitoring network are isolation and grounding switches, current-voltage transformers, circuit breakers, lightning arresters and bus air chambers at intervals of different GIS/GIL devices in a station, sensors of the monitoring network are arranged according to geometric distribution and functional components of an internal conductive loop and an abnormal sound structure, and are arranged in an encrypted manner on a working surface and a key connection structure;
the sensor selects a piezoelectric acceleration sensor, and different bandwidths and sensitivities are matched according to different mechanism types, response levels and vibration modes;
the other operation information perception networks of the equipment access and analyze the partial discharge ultrahigh frequency signals, the ultrasonic signals, the operation voltage and current information, the field noise level, the infrared temperature measurement information, the circuit breaker operation state and the leakage or grounding current information of the GIS/GIL equipment, and the insulation state, the temperature level, the load level and the power quality state of the GIS/GIL equipment are fully mastered.
Optionally, the network communication layer of the operation information of the GIS/GIL device cloud diagnosis system includes a hardware system and a software system; the hardware system is used for high-speed data acquisition and summarization, data analysis and storage, data interaction communication and equipment running state display, and the software system is used for carrying out equipment running mode monitoring, local intelligent analysis, remote function maintenance, equipment safety control and data uploading communication operation by utilizing edge calculation and artificial intelligence technology based on intelligent terminal hardware resources;
the hardware system consists of a mechanical vibration state intelligent data acquisition, communication and processing terminal, an on-line monitoring terminal for other physical information in the station and a cloud diagnosis service unit;
the intelligent data acquisition, communication and processing terminal is used for performing high-speed acquisition, local storage, communication and analysis on vibration distributed mode network data, and comprises the following units:
a signal conditioning unit: amplifying and scaling small signals output by a plurality of sensors of the vibration distributed mode monitoring network into analog signals suitable for analog-to-digital conversion;
high-speed AD and filtering unit: carrying out high-speed A/D acquisition on output signals of the signal conditioning unit, and parallelly converting multi-channel vibration analog signals into digital signals; meanwhile, filtering the environmental noise of the signal;
a data communication unit: the local area network communication of the equipment in the station and the remote communication function of the cloud server are realized; the station equipment is connected and interacted with local information of the vibration intelligent terminal in a wired, Wi-Fi and ZigBee communication mode, the intelligent terminal establishes instant communication between data uploading, operation and maintenance service and software updating requests and the cloud service unit, and the communication mode comprises VPN limited and GPRS wireless;
the signal access unit: providing a data structure API for the local discharge, temperature, voltage/current online monitoring equipment of the GIS/GIL equipment in the station, and realizing the access and the summarization of different types of measurement signals;
a data storage unit: the functions of batch storage and management of online real-time monitoring data, a GIS/GIL equipment mechanical defect map database, software system resources and equipment data information are realized;
a data processing unit: configuring a multi-core enhanced MCU processor based on the SIMD architecture, and upgrading the computing function by adopting an accelerator IP; the data processing unit provides high-efficiency data processing capability for system operation, data screening and edge diagnosis;
an interface display unit: the interface display unit realizes real-time display of a system main control interface, a GIS/GIL equipment vibration frequency spectrum, an electric equipment operation structure mode and an equipment mechanical state evaluation result;
an input control unit: the system operation, request command and external information input functions of operation and maintenance personnel are realized;
the software system comprises a data management part, an interface interaction part, a mechanical state diagnosis part, a software maintenance updating part and a cloud deep analysis part; the software system has the functions of screening information of terminal data, processing analysis and edge calculation, and reduces the calculation pressure of a cloud.
Optionally, the architecture of the software system includes:
a data management system: unified management of database resources, online monitoring data and cloud data is realized, and data query, storage and uploading functions are realized; the database resources cover an abnormal vibration fingerprint spectrum library of GIS/GIL equipment under different operating conditions of mechanical defects of aging deformation, fatigue, looseness, jam and poor contact of an isolation and grounding switch, a current-voltage transformer, a circuit breaker, a lightning arrester and a bus gas chamber; the on-line monitoring data comprises real-time monitoring data of a vibration distribution mode monitoring network, partial discharge, ultrasound, voltage and current; the data management system carries out short-period cache and abnormal data uploading operation on the data; the data management system carries out resource updating operation on the cloud data according to the operation instruction;
a data analysis system: the frequency spectrum analysis, the operation mode test analysis, the vibration waveform distortion rate analysis, the partial discharge of equipment, the temperature analysis and the load analysis of the dynamic signals are realized; the staff can lock the structure, compare the whole situation and check the cause of the details of the abnormal vibration state according to the vibration amplitude, the frequency spectrum component, the waveform distortion condition of the dynamic signal and the structural modal parameters of the typical component of the GIS/GIL equipment, including modal frequency, vibration mode, damping and equipment operation information, so as to realize the preliminary analysis of the abnormal position and the abnormal signal;
a mechanical state diagnostic system: integrating a deep convolutional neural network and an artificial intelligence algorithm, and performing feature learning and model training based on an abnormal vibration fingerprint spectrum library of a data management system, so as to realize state diagnosis of abnormal vibration signals, and performing comprehensive reason analysis by combining equipment operation age, power quality, detection records, operation state and insulation state;
software update maintenance system: developing software updating and maintaining functions according to actual requirements, and realizing the development, maintenance and updating of database resources, a software tool kit and an algorithm model;
an interface interaction system: the interface display and man-machine interaction functions are realized, the functions comprise the display functions of the real-time frequency spectrum of a dynamic monitoring signal, the operation structure mode of a GIS/GIL device switch, a guide rod, a transmission shaft and a spring component, the working temperature, the load level, the evaluation diagnosis result and the maintenance suggestion information, and a man-machine interaction interface window is provided;
cloud deep analysis system: and aiming at the abnormal vibration signals extracted by the edge intelligent terminal, establishing data and service communication with a cloud terminal according to the request of a local worker, and performing deep analysis and result display of the cloud terminal.
Optionally, the GIS/GIL device cloud diagnosis system application layer includes the following parts:
monitoring: by accessing and summarizing the multiple power substations, the cloud platform carries out comprehensive real-time monitoring on the mechanical state and the vibration level of the electrical equipment, and real-time mastering on the mechanical health state of the GIS/GIL equipment is realized;
counting: analyzing different vibration test reports according to different dimensional changes of operation time, component types and load levels by carrying out statistical analysis on historical operation data of the GIS/GIL equipment, and displaying the vibration amplitude and the waveform distortion rate in real time by using a chart and a screen;
data mining and deep diagnostic functions: on one hand, limited by the computing power and data resources of the edge terminal, the cloud center diagnosis service system provides deep data mining and deep fault diagnosis functions for the operation working conditions of all terminals of the butt-joint transformer substation, so that deep analysis of the complex vibration working conditions of similar GIS/GIL equipment or functional components is performed, accurate prediction, accurate judgment, accurate evaluation and accurate positioning of defects are realized, and further accident prevention plans and operation and maintenance measures are taken; on the other hand, the continuous expansion of a cloud database and the learning improvement of an algorithm model are realized through the access and information interaction of edge terminal big data, so that the diagnosis capability of an expert system is optimized;
remote service: the method comprises the steps that an edge intelligent terminal provides a service request to a cloud platform through remote communication, a cloud diagnosis system carries out deep service and result feedback by utilizing platform resources and computing capacity, and meanwhile, the updating requirements of data resources, a software system and an algorithm model of the edge terminal are responded;
operation and maintenance management: the cloud diagnosis platform carries out operation and maintenance management according to the mechanical response condition and the health level of equipment of the multi-substation terminal, makes corresponding routing inspection arrangement according to the health level of the equipment, carries out emergency maintenance treatment on key equipment with serious defect degree and wide influence range, carries out accident planning and maintenance planning on equipment with general defect degree, and carries out later evaluation and reason analysis on equipment with accidents.
The invention has the beneficial effects that:
firstly, the system establishes a distributed vibration modal monitoring network aiming at main functional components of different intervals and air chambers of GIS/GIL equipment based on a high-sensitivity multi-bandwidth vibration acceleration sensor, and simultaneously accesses multiple signals such as partial discharge, ultrasound, voltage, current and the like of the power equipment, thereby realizing real-time online monitoring and analysis of panoramic and multi-parameter fusion of the power equipment.
Secondly, the intelligent vibration detection terminal based on the autonomous design is used for carrying out high-speed signal acquisition, local storage, communication and analysis, and carrying out operations such as equipment operation mode monitoring, local intelligent analysis, function remote maintenance, equipment safety control, data uploading communication and the like based on field data by utilizing an edge computing technology.
Thirdly, aiming at complex operation conditions and remote maintenance requirements, a high-speed calculation and data algorithm library of the cloud diagnosis platform is introduced to realize functions of information interaction, deep diagnosis and analysis, system updating and maintenance and the like according to vibration data of the multi-change-point station.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a structural diagram of a GIS/GIL equipment mechanical state online monitoring and fault intelligent cloud diagnosis system;
FIG. 2 is a diagram of a GIS/GIL equipment mechanical state monitoring terminal hardware system structure;
FIG. 3 is a functional structure diagram of a GIS/GIL device mechanical state monitoring terminal software system.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
The GIS/GIL equipment mechanical state on-line monitoring and fault intelligent cloud diagnosis system is structurally as shown in figure 1, and mainly comprises three main functional structures, namely a vibration distributed sensing layer of different air chambers and components of GIS/GIL equipment, a network communication layer of GIS/GIL equipment cloud diagnosis system operation information and a GIS/GIL equipment cloud diagnosis system application layer.
Distributed vibration sensing layer of 1 GIS/GIL equipment
The GIS/GIL equipment distributed vibration sensing layer mainly comprises a signal monitoring network, a vibration distributed mode monitoring network and other operation information sensing networks of the equipment, and further carries out further data access and analysis by a signal conditioning terminal, a data acquisition terminal, a data analysis processing terminal and a data communication terminal.
(1) GIS/GIL equipment vibration distributed mode monitoring network
The GIS/GIL equipment vibration distributed mode monitoring network mainly monitors isolation and grounding switches, current and voltage transformers, circuit breakers, lightning arresters, bus air chambers and the like at intervals of different GIS/GIL equipment in a station, sensors of the monitoring network are arranged according to geometrical distribution and main functional components of an internal conductive loop and an abnormal sound structure, and are arranged in an encrypted mode on a main working face and a key connecting structure.
The sensor selects a piezoelectric acceleration sensor and is matched with different bandwidths and sensitivities according to different mechanism types, response levels and vibration forms.
(2) GIS/GIL equipment other operation information perception network
The system sensing layer simultaneously accesses and analyzes information such as partial discharge ultrahigh frequency signals, ultrasonic signals, operating voltage and current information, field noise level, infrared temperature measurement information, circuit breaker operation state, leakage or grounding current and the like of the GIS/GIL equipment, so that the states of the GIS/GIL equipment such as insulation state, temperature level, load level, electric energy quality and the like can be fully mastered.
2 GIS/GIL equipment mechanical vibration state cloud diagnosis system network layer
The GIS/GIL equipment cloud diagnosis system network layer core component unit is an intelligent data acquisition, communication and processing terminal which mainly comprises a hardware system and a software system, wherein the hardware system mainly has the functions of high-speed data acquisition and summarization, data analysis and storage, data interaction communication, equipment running state display and the like, and the software system utilizes edge computing and artificial intelligence technology to carry out operations such as equipment running mode monitoring, on-site intelligent analysis, function remote maintenance, equipment safety control, data uploading communication and the like on the basis of intelligent terminal hardware resources. The concrete structure is as follows:
(1) GIS/GIL equipment mechanical state monitoring terminal hardware system:
the GIS/GIL equipment mechanical state monitoring terminal hardware system mainly comprises a mechanical vibration state intelligent data acquisition, communication and processing terminal, other in-station physical information online monitoring terminals and a cloud diagnosis service unit, wherein the mechanical vibration state intelligent data acquisition, communication and processing terminal is the core of the diagnosis system, and the system mainly comprises a framework as shown in figure 2.
The intelligent data acquisition, communication and processing terminal is used for performing high-speed acquisition, local storage, communication and analysis on vibration distributed mode network data, and the functions of each part are as follows:
a signal conditioning unit: the unit mainly amplifies and scales small signals output by a plurality of sensors of the vibration distributed mode monitoring network into analog signals suitable for analog-to-digital conversion.
High-speed AD and filtering unit: the unit mainly carries out high-speed A/D acquisition on the output signal of the signal conditioning unit and converts a plurality of paths of vibration analog signals into digital signals in parallel. And simultaneously, filtering the environmental noise of the signal.
A data communication unit: the unit mainly realizes the local area network communication of the equipment in the station and the remote communication function of the cloud server. The station equipment can be in local information connection and interaction with the vibration intelligent terminal through communication modes such as wired communication, Wi-Fi communication, ZigBee communication and the like, the intelligent terminal can establish instant communication with the cloud service unit through requests such as data uploading, operation and maintenance service and software updating, and the communication modes include VPN limited communication, GPRS wireless communication and the like.
The signal access unit: the unit mainly provides data structure API for online monitoring equipment such as local discharge, temperature, voltage/current and the like of GIS/GIL equipment in the station, and access and collection of different types of measurement signals are realized.
A data storage unit: the unit mainly realizes the functions of batch storage and management of information such as online real-time monitoring data, a GIS/GIL equipment mechanical defect map database, software system resources, equipment data and the like.
A data processing unit: the unit configures a multi-core enhanced MCU processor based on a SIMD architecture, and simultaneously adopts an accelerator IP to upgrade the calculation function. The data processing unit provides high-efficiency data processing capability for system operation, data screening, edge diagnosis and the like.
An interface display unit: the interface display unit realizes real-time display of a system main control interface, a GIS/GIL equipment vibration frequency spectrum, an electric power equipment operation structure mode and an equipment mechanical state evaluation result.
An input control unit: the unit realizes the functions of system operation, command request and external information entry of operation and maintenance personnel.
(2) GIS/GIL equipment mechanical state monitoring terminal software system:
the GIS/GIL equipment mechanical state monitoring terminal software system is a main component of edge artificial intelligence of an on-line monitoring and fault intelligent cloud diagnosis system for operating the mechanical state of electric equipment, and mainly comprises functions of data management, interface interaction, mechanical state diagnosis, software maintenance and update and cloud deep analysis. The software system has the functions of screening information of terminal data, processing analysis and edge calculation, so that the calculation pressure of a cloud is reduced, and the operation efficiency of the system is improved.
The GIS/GIL equipment mechanical state monitoring terminal software system mainly comprises a framework as shown in figure 3.
A data management system: the system realizes the unified management of database resources, on-line monitoring data and cloud data, and can realize the functions of data query, storage and uploading. The database resources cover an abnormal vibration fingerprint spectrum library of GIS/GIL equipment under different operating conditions with mechanical defects of aging deformation, fatigue, looseness, jamming, poor contact and the like of an isolation and grounding switch, a current-voltage transformer, a circuit breaker, a lightning arrester and a bus gas chamber. The on-line monitoring data comprises real-time monitoring data such as vibration distribution mode monitoring network, partial discharge, ultrasound, voltage, current and the like. The data management system performs short-cycle caching and abnormal data uploading operations on the data. And the data management system carries out resource updating operation on the cloud data according to the operation instruction, so that the knowledge graph of the edge terminal is enriched.
A data analysis system: the system realizes the analysis of the frequency spectrum of the dynamic signal, the test analysis of the operation mode, the analysis of the vibration waveform distortion rate, the partial discharge of the equipment, the analysis of the operation conditions such as temperature and load, and the like. The staff can carry out structural locking, global comparison and detail cause checking on the abnormal vibration state according to the vibration amplitude, the frequency spectrum component and the waveform distortion condition of the dynamic signal, the structural modal parameters of the typical component of the GIS/GIL equipment, including modal frequency, vibration mode, damping and the like, and the equipment operation information, so as to realize the preliminary analysis of the abnormal position and the abnormal signal.
A mechanical state diagnostic system: the system integrates artificial intelligence algorithms such as a deep convolutional neural network and expert diagnosis, performs characteristic learning and model training based on an abnormal vibration fingerprint atlas database of a data management system, further realizes state diagnosis of abnormal vibration signals, and performs comprehensive reason analysis by combining equipment operation age, power quality, detection records, operation state, insulation state and the like.
Software update maintenance system: the system develops software updating and maintaining functions according to actual requirements, and realizes the development, maintenance and updating of database resources, software toolboxes and algorithm models.
An interface interaction system: the system mainly realizes interface display and human-computer interaction functions, comprises the display functions of information such as a real-time frequency spectrum of a dynamic monitoring signal, an operation structure mode of a GIS/GIL device switch, a guide rod, a transmission shaft, a spring and the like, a working temperature, a load level, an evaluation diagnosis result, an overhaul suggestion and the like, and provides a human-computer interaction interface window.
Cloud deep analysis system: the system establishes data and service communication with a cloud terminal according to the request of local workers aiming at the abnormal vibration signal extracted by the edge intelligent terminal, and performs deep analysis and result display of the cloud terminal.
3 GIS/GIL equipment mechanical vibration state cloud diagnosis system application layer
The core of the GIS/GIL equipment mechanical vibration state cloud diagnosis system application layer is a cloud center diagnosis service system, and the platform has the functions of accessing, processing, maintaining, diagnosing, excavating data, planning accidents and the like of multi-transformer substation interactive data and can be mainly divided into the following five aspects:
and (4) a monitoring function: through the access and the collection of the multiple power substations, the cloud platform can carry out comprehensive real-time monitoring on the mechanical state and the vibration level of the power equipment, and the real-time mastering on the mechanical health state of the GIS/GIL equipment is realized.
And (4) a statistical function: by carrying out statistical analysis on historical operating data of the GIS/GIL equipment, different vibration test reports can be analyzed according to different dimensional changes such as operating time, component types and load levels, and vibration amplitude values, waveform distortion rates and the like can be displayed in real time by using a chart and a screen, so that the operating condition of the mechanical state of the GIS/GIL equipment on the whole platform can be rapidly and visually known.
Data mining and deep diagnostic functions: on one hand, limited by the computing power and data resources of the edge terminal, the cloud center diagnosis service system can provide deep data mining and deep fault diagnosis functions for the operation working conditions of all terminals of the butt-joint transformer substation, so that deep analysis of the complex vibration working conditions of similar GIS/GIL equipment or functional components is performed, accurate prediction, accurate judgment, accurate assessment and accurate positioning of defects are achieved, and then accident plans and reasonable operation and maintenance measures are taken. On the other hand, by accessing the big data of the edge terminal and information interaction, the cloud database can be continuously expanded and the algorithm model can be learned and improved, so that the diagnostic capability of the expert system is optimized, and the evaluation effect of the edge intelligent terminal is improved.
Remote service: the edge intelligent terminal provides a service request to the cloud platform through remote communication, the cloud diagnosis system can perform deep service and result feedback by using platform resources and computing capacity, and meanwhile, the update requirements of data resources, a software system and an algorithm model of the edge terminal are responded.
Operation and maintenance management: the cloud diagnosis platform carries out operation and maintenance management according to the mechanical response condition and the health level of equipment of the multi-substation terminal, makes corresponding routing inspection arrangement according to the health level of the equipment, carries out emergency maintenance treatment on key equipment with serious defect degree and wide influence range, carries out accident planning and maintenance planning on equipment with general defect degree, and carries out later evaluation and reason analysis on equipment with accidents.
The GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault intelligent cloud diagnosis system is based on multi-terminal and multi-type data to carry out information fusion and intelligent diagnosis of GIS/GIL equipment mechanical defects, fully utilizes the functions of deep analysis, data mining and remote maintenance of a system cloud, can realize detailed, global and visual analysis of the GIS/GIL equipment mechanical health state, can be used for not only state monitoring of GIS/GIL equipment of a transformer substation in different voltage classes of an electric power system, but also relevant research and development, factory detection and other links of GIS/GIL equipment related scientific research institutions, equipment manufacturing enterprises and the like, can eliminate potential safety hazards as soon as possible, and has important engineering practical significance.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (6)
- The GIS/GIL equipment mechanical vibration state on-line monitoring and mechanical fault cloud diagnosis system is characterized in that: the system comprises vibration distributed sensing layers of different air chambers and components of the GIS/GIL equipment, a network communication layer of running information of the GIS/GIL equipment cloud diagnosis system and an application layer of the GIS/GIL equipment cloud diagnosis system.
- 2. The GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system of claim 1, wherein: the vibration distributed sensing layer of different air chambers and components of the GIS/GIL equipment consists of a signal monitoring network, comprises a vibration distributed mode monitoring network and other operation information sensing networks of the equipment, and further carries out further data access and analysis by a signal conditioning terminal, a data acquisition terminal, a data analysis processing terminal and a data communication terminal.
- 3. The GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system of claim 2, wherein: the monitoring objects of the vibration distributed mode monitoring network are isolation and grounding switches, current-voltage transformers, circuit breakers, lightning arresters and bus air chambers at intervals of different GIS/GIL devices in a station, sensors of the monitoring network are arranged according to internal conductive loops, geometric distribution and functional components of abnormal sound structures, and are arranged in an encrypted manner on a working face and a key connecting structure;the sensor selects a piezoelectric acceleration sensor, and different bandwidths and sensitivities are matched according to different mechanism types, response levels and vibration modes;the other operation information perception networks of the equipment access and analyze the partial discharge ultrahigh frequency signals, the ultrasonic signals, the operation voltage and current information, the field noise level, the infrared temperature measurement information, the circuit breaker operation state and the leakage or grounding current information of the GIS/GIL equipment, and the insulation state, the temperature level, the load level and the power quality state of the GIS/GIL equipment are fully mastered.
- 4. The GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system of claim 3, wherein: the network communication layer of the GIS/GIL equipment cloud diagnosis system operation information comprises a hardware system and a software system; the hardware system is used for high-speed data acquisition and summarization, data analysis and storage, data interaction communication and equipment running state display, and the software system is used for carrying out equipment running mode monitoring, local intelligent analysis, remote function maintenance, equipment safety control and data uploading communication operation by utilizing edge calculation and artificial intelligence technology based on intelligent terminal hardware resources;the hardware system consists of a mechanical vibration state intelligent data acquisition, communication and processing terminal, an on-line monitoring terminal for other physical information in the station and a cloud diagnosis service unit;the intelligent data acquisition, communication and processing terminal is used for performing high-speed acquisition, local storage, communication and analysis on vibration distributed mode network data, and comprises the following units:a signal conditioning unit: amplifying and scaling small signals output by a plurality of sensors of the vibration distributed mode monitoring network into analog signals suitable for analog-to-digital conversion;high-speed AD and filtering unit: carrying out high-speed A/D acquisition on output signals of the signal conditioning unit, and parallelly converting multi-channel vibration analog signals into digital signals; meanwhile, filtering the environmental noise of the signal;a data communication unit: the local area network communication of the equipment in the station and the remote communication function of the cloud server are realized; the station equipment is connected and interacted with local information of the vibration intelligent terminal in a wired, Wi-Fi and ZigBee communication mode, the intelligent terminal establishes instant communication between data uploading, operation and maintenance service and software updating requests and the cloud service unit, and the communication mode comprises VPN limited and GPRS wireless;the signal access unit: providing a data structure API for the local discharge, temperature, voltage/current online monitoring equipment of the GIS/GIL equipment in the station, and realizing the access and the summarization of different types of measurement signals;a data storage unit: the functions of batch storage and management of online real-time monitoring data, a GIS/GIL equipment mechanical defect map database, software system resources and equipment data information are realized;a data processing unit: configuring a multi-core enhanced MCU processor based on the SIMD architecture, and upgrading the computing function by adopting an accelerator IP; the data processing unit provides high-efficiency data processing capability for system operation, data screening and edge diagnosis;an interface display unit: the interface display unit realizes real-time display of a system main control interface, a GIS/GIL equipment vibration frequency spectrum, an electric equipment operation structure mode and an equipment mechanical state evaluation result;an input control unit: the system operation, request command and external information input functions of operation and maintenance personnel are realized;the software system comprises a data management part, an interface interaction part, a mechanical state diagnosis part, a software maintenance updating part and a cloud deep analysis part; the software system has the functions of screening information of terminal data, processing analysis and edge calculation, and reduces the calculation pressure of a cloud.
- 5. The GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system of claim 4, wherein: the architecture of the software system comprises:a data management system: unified management of database resources, online monitoring data and cloud data is realized, and data query, storage and uploading functions are realized; the database resources cover an abnormal vibration fingerprint spectrum library of GIS/GIL equipment under different operating conditions of mechanical defects of aging deformation, fatigue, looseness, jam and poor contact of an isolation and grounding switch, a current-voltage transformer, a circuit breaker, a lightning arrester and a bus gas chamber; the on-line monitoring data comprises real-time monitoring data of a vibration distribution mode monitoring network, partial discharge, ultrasound, voltage and current; the data management system carries out short-period cache and abnormal data uploading operation on the data; the data management system carries out resource updating operation on the cloud data according to the operation instruction;a data analysis system: the frequency spectrum analysis, the operation mode test analysis, the vibration waveform distortion rate analysis, the partial discharge of equipment, the temperature analysis and the load analysis of the dynamic signals are realized; the staff can lock the structure, compare the whole situation and check the cause of the details of the abnormal vibration state according to the vibration amplitude, the frequency spectrum component, the waveform distortion condition of the dynamic signal and the structural modal parameters of the typical component of the GIS/GIL equipment, including modal frequency, vibration mode, damping and equipment operation information, so as to realize the preliminary analysis of the abnormal position and the abnormal signal;a mechanical state diagnostic system: integrating a deep convolutional neural network and an artificial intelligence algorithm, and performing feature learning and model training based on an abnormal vibration fingerprint spectrum library of a data management system, so as to realize state diagnosis of abnormal vibration signals, and performing comprehensive reason analysis by combining equipment operation age, power quality, detection records, operation state and insulation state;software update maintenance system: developing software updating and maintaining functions according to actual requirements, and realizing the development, maintenance and updating of database resources, a software tool kit and an algorithm model;an interface interaction system: the interface display and man-machine interaction functions are realized, the functions comprise the display functions of the real-time frequency spectrum of a dynamic monitoring signal, the operation structure mode of a GIS/GIL device switch, a guide rod, a transmission shaft and a spring component, the working temperature, the load level, the evaluation diagnosis result and the maintenance suggestion information, and a man-machine interaction interface window is provided;cloud deep analysis system: and aiming at the abnormal vibration signals extracted by the edge intelligent terminal, establishing data and service communication with a cloud terminal according to the request of a local worker, and performing deep analysis and result display of the cloud terminal.
- 6. The GIS/GIL device mechanical vibration state online monitoring and mechanical fault cloud diagnosis system of claim 5, wherein: the GIS/GIL equipment cloud diagnosis system application layer comprises the following parts:monitoring: by accessing and summarizing the multiple power substations, the cloud platform carries out comprehensive real-time monitoring on the mechanical state and the vibration level of the electrical equipment, and real-time mastering on the mechanical health state of the GIS/GIL equipment is realized;counting: analyzing different vibration test reports according to different dimensional changes of operation time, component types and load levels by carrying out statistical analysis on historical operation data of the GIS/GIL equipment, and displaying the vibration amplitude and the waveform distortion rate in real time by using a chart and a screen;data mining and deep diagnostic functions: on one hand, limited by the computing power and data resources of the edge terminal, the cloud center diagnosis service system provides deep data mining and deep fault diagnosis functions for the operation working conditions of all terminals of the butt-joint transformer substation, so that deep analysis of the complex vibration working conditions of similar GIS/GIL equipment or functional components is performed, accurate prediction, accurate judgment, accurate evaluation and accurate positioning of defects are realized, and further accident prevention plans and operation and maintenance measures are taken; on the other hand, the continuous expansion of a cloud database and the learning improvement of an algorithm model are realized through the access and information interaction of edge terminal big data, so that the diagnosis capability of an expert system is optimized;remote service: the method comprises the steps that an edge intelligent terminal provides a service request to a cloud platform through remote communication, a cloud diagnosis system carries out deep service and result feedback by utilizing platform resources and computing capacity, and meanwhile, the updating requirements of data resources, a software system and an algorithm model of the edge terminal are responded;operation and maintenance management: the cloud diagnosis platform carries out operation and maintenance management according to the mechanical response condition and the health level of equipment of the multi-substation terminal, makes corresponding routing inspection arrangement according to the health level of the equipment, carries out emergency maintenance treatment on key equipment with serious defect degree and wide influence range, carries out accident planning and maintenance planning on equipment with general defect degree, and carries out later evaluation and reason analysis on equipment with accidents.
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