CN116794434A - Fault diagnosis system, fault detection method and device - Google Patents
Fault diagnosis system, fault detection method and device Download PDFInfo
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Abstract
The application relates to a fault diagnosis system, a fault detection method and a fault detection device. The system comprises: the state detection module is used for acquiring operation detection data of the switch cabinet; the intelligent analysis module is used for carrying out state analysis on the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result; the fault positioning module is used for positioning the fault point according to the operation detection data to obtain fault position data when the state analysis result is abnormal in operation state; the display alarm module is used for setting the operation detection data and the fault position data as target display data and displaying the target display data, and controlling a fault alarm signal based on a state analysis result; and the display alarm module is also used for setting the running state data as target display data and displaying the target display data when the state analysis result is that the running state is normal. By adopting the method, the accurate classification and accurate positioning of faults in the switch cabinet are realized, and the influence of mechanical faults in the switch cabinet on insulation faults is avoided.
Description
Technical Field
The present application relates to the field of power equipment detection technologies, and in particular, to a fault diagnosis system, a fault detection method and a fault detection device.
Background
In recent years, along with the increasing of the world on fossil energy consumption, the increasingly serious environmental problems are revealed, global climate is warmed, air pollution and carbon dioxide concentration are increased, plant growth is slowed down, animal migration is correspondingly influenced, human respiratory diseases are aggravated, and the like, so that the consumption of fossil energy resources is reduced, the traditional energy substitution is sought to become an epoch main melody, the fuel automobile is one of the largest fossil energy consumer products of the world, the full substitution of the fuel automobile is realized, and the full substitution of the heart strengthening needle and the booster which are becoming the energy consumption war of the world is generated along with the proposal of the national double-carbon target, and the application of the electric automobile with electric energy as a main driving force is generated.
The advantages of low carbon, environmental protection, economical intelligence and the like of the electric automobile lead the electric automobile to be widely focused in the automobile industry. The large-scale application of the electric automobile effectively reduces the carbon emission in the automobile industry and reduces the dependence on fossil energy. The electric automobile charging station is used as a main charging place of an electric automobile, and has important significance in ensuring safe and stable operation of the electric automobile charging station.
However, the conventional method mainly adopts a preventive test, a withstand voltage test, a patrol inspection and the like.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a fault diagnosis system, fault detection method, and device capable of collecting state data of a switchgear, judging an operation state of the switchgear, and precisely detecting a fault type and a fault point position at the time of a fault.
In a first aspect, the present application provides a fault diagnosis system. The system comprises:
the state detection module is used for acquiring operation detection data of the switch cabinet;
the intelligent analysis module is used for carrying out state analysis on the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result;
the fault positioning module is used for positioning the fault point according to the operation detection data to obtain fault position data when the state analysis result is abnormal in operation state;
the display alarm module is used for setting the operation detection data and the fault position data as target display data and displaying the target display data, and controlling a fault alarm signal based on a state analysis result;
and the display alarm module is also used for setting the running state data as target display data and displaying the target display data when the state analysis result is that the running state is normal.
In one embodiment, the status detection module includes:
the operation detection unit is connected with the intelligent analysis module and used for detecting the operation state of the switch cabinet and obtaining operation state data;
and the environment detection unit is connected with the intelligent analysis module and used for detecting the internal environment of the switch cabinet to obtain environment detection data.
In one embodiment, the display alarm module includes:
the data display unit is connected with the output end of the state detection module and the output end of the fault positioning module and is used for receiving target display data and displaying the target display data;
the fault alarm unit is connected with the output end of the intelligent analysis module and used for receiving the state analysis result and controlling the fault alarm signal according to the state analysis result.
In one embodiment, the fault diagnosis system further comprises an abnormal operation database connected with the output end of the state detection module and used for storing abnormal operation data and performing fault analysis based on the abnormal operation data; the abnormal operation data comprise partial discharge signal data, vibration signal data and environment detection data; the abnormal operation database includes:
the partial discharge signal database is used for storing partial discharge signal data generated by partial discharge in the state detection module acquisition switch cabinet;
the vibration signal database is used for collecting vibration signal data generated by abnormal operation of the switch cabinet by the storage state detection module;
the environment detection database is used for storing environment detection data in the state detection module acquisition switch cabinet.
In a second aspect, the application further provides a fault detection method. The method comprises the following steps:
acquiring operation detection data of a switch cabinet;
analyzing the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result;
when the state analysis result is abnormal running state, positioning a fault point according to the running detection data to obtain fault position data;
setting the operation detection data and the fault position data as target display data and displaying, and controlling a fault alarm signal based on a state analysis result;
and when the state analysis result is that the operation state is normal, setting the operation detection data as target display data and displaying the target display data.
In one embodiment, locating the fault point according to the operation detection data and the environment detection data to obtain fault location data includes:
judging the operation of the switch cabinet according to vibration data in the current time operation state data and a preset operation threshold value, and obtaining a current time operation judgment result;
when the operation judgment result at the current moment is that the switch cabinet normally operates, collecting the switch cabinet in the operation process at the next moment to obtain the collected data at the next moment; preprocessing the acquired data at the next moment to obtain running state data at the next moment; according to vibration data in the operation state data of the next moment, the operation judgment of the switch cabinet is carried out, and the operation judgment result of the next moment is obtained;
when the operation judgment result at the current moment is abnormal operation of the switch cabinet, fault judgment and fault positioning are carried out on the switch cabinet according to the operation state data at the current moment, and fault type and fault position data are obtained.
In one embodiment, performing fault judgment and fault positioning on the switch cabinet according to the current running state data at the present moment to obtain fault type and fault position data, including:
performing fault analysis on the switch cabinet according to vibration data in the running state data at the current moment to obtain a preliminary fault analysis result;
when the preliminary fault analysis result shows that the mechanical fault exists in the switch cabinet, carrying out mechanical fault identification and mechanical fault positioning on the switch cabinet according to vibration data in the running state data at the current moment to obtain the mechanical fault type and mechanical fault position data;
and when the preliminary fault analysis result shows that no mechanical fault exists in the switch cabinet, carrying out insulation fault identification and insulation fault positioning on the switch cabinet according to the ultrasonic data and the ultra-high frequency data in the running state data at the current moment, and obtaining the insulation fault type and the insulation fault position data.
In one embodiment, after the mechanical fault identification and the mechanical fault positioning are performed on the switch cabinet according to the vibration data in the running state data at the current moment, the method further includes:
analyzing the switch cabinet according to vibration data in the running state data at the current moment and a preset vibration threshold value to obtain an analysis result;
when the analysis result shows that the switch cabinet has an insulation fault, the switch cabinet is subjected to insulation fault identification and insulation fault positioning according to the ultrasonic data and the ultra-high frequency data in the running state data at the current moment, and the insulation fault type and the insulation fault position data are obtained; accurately positioning the fault position according to the insulation fault position data and the environment detection data to obtain first target fault position data;
and when the analysis result shows that the insulation fault does not exist in the switch cabinet, accurately positioning the fault position according to the mechanical fault position data and the environment detection data, and obtaining second target fault position data.
In a third aspect, the application further provides a fault detection device. The device comprises:
the intelligent analysis module is used for acquiring the running state data and the environment detection data of the switch cabinet;
the ultrasonic sensor is arranged in the switch cabinet and connected with the intelligent analysis module, and is used for collecting ultrasonic signals generated by partial discharge in the switch cabinet and transmitting the ultrasonic signals to the intelligent analysis module;
the ultrahigh frequency sensor is arranged on the outer surface of the switch cabinet and connected with the intelligent analysis module, and is used for collecting ultrahigh frequency electromagnetic wave signals leaked from metal gaps of the switch cabinet and transmitting the ultrahigh frequency electromagnetic wave signals to the intelligent analysis module;
the vibration sensor is arranged on the outer surface of the switch cabinet and connected with the intelligent analysis module, and is used for collecting vibration wave signals generated by abnormal operation in the switch cabinet and transmitting the vibration wave signals to the intelligent analysis module;
the infrared thermal imager is arranged in the switch cabinet and connected with the intelligent analysis module, and is used for collecting temperature data in the operation process of the switch cabinet and transmitting the temperature data to the intelligent analysis module;
humidity sensor sets up inside the cubical switchboard and is connected with intelligent analysis module for gather the humidity data of cubical switchboard operation in-process, and with humidity data transmission to intelligent analysis module.
In one embodiment, the device further comprises a dehumidifying device connected with the intelligent analysis module for processing the heat and humidity load in the switch cabinet.
According to the fault diagnosis system, the fault detection method and the fault detection device, the switch cabinet in the operation process is detected through the state detection module, operation detection data are obtained, state analysis is carried out on the switch cabinet based on the operation detection data, whether the switch cabinet has operation abnormality or not is determined, classification judgment is carried out on abnormal conditions, then the fault position in the switch cabinet is positioned after the fault type is determined, the decision analysis is carried out on the faults of the switch cabinet, the state analysis result is carried out, the state analysis result and the fault position information are displayed, and meanwhile, a fault alarm signal is sent, so that the accurate classification of faults in the switch cabinet and the accurate positioning of fault points are realized, and the influence of mechanical faults in the switch cabinet on insulation faults is avoided.
Drawings
FIG. 1 is a block diagram of a fault diagnosis system in one embodiment;
FIG. 2 is a flow chart of a fault detection method in one embodiment;
FIG. 3 is a flow diagram of fault point location in one embodiment;
FIG. 4 is a flow diagram of an exact fault type in one embodiment;
FIG. 5 is a flow chart of determining insulation faults in one embodiment;
FIG. 6 is a block diagram of a fault detection device in one embodiment;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In one embodiment, as shown in FIG. 1, a fault diagnosis system includes: a status detection module 102, an intelligent analysis module 104, a fault location module 106, and a display alarm module 108, wherein:
the state detection module 102 is configured to obtain operation detection data of the switch cabinet.
The intelligent analysis module 104 is configured to perform state analysis on the switch cabinet according to the operation detection data and a preset decision model, so as to obtain a state analysis result.
And the fault positioning module 106 is configured to, when the state analysis result is that the operation state is abnormal, position the fault point according to the operation detection data, and obtain fault location data.
The display alarm module 108 is configured to set the operation detection data and the fault location data as target display data and display the target display data, and control the fault alarm signal based on the status analysis result.
The display alarm module 108 is further configured to set and display the operation status data as target display data when the status analysis result indicates that the operation status is normal.
Specifically, the state detection module 101 detects the switchgear in real time as the switchgear operates. After the operation detection data are obtained, the operation detection data are transmitted to the intelligent analysis module 102, and the intelligent analysis module 102 compares and judges the operation detection data with a preset threshold value so as to determine whether the switch cabinet is abnormal in operation.
If the switch cabinet operates normally, the operation detection data is displayed in real time through the display alarm module 104.
If the switch cabinet is abnormal in operation, the intelligent analysis module 102 further analyzes the fault type and analyzes the operation of the switch cabinet to obtain a state analysis result. After determining the fault type, the fault location module 103 selects appropriate data from the operation detection data according to the fault type to perform fault point location, so as to obtain fault location data. The fault type of the switch cabinet and the fault position data thereof are displayed in real time through the display alarm 104, the state analysis result of the switch cabinet is displayed, and meanwhile, a fault alarm signal is also sent.
In the embodiment, the switch cabinet in the operation process is detected through the state detection module to obtain operation detection data, the state analysis is carried out on the switch cabinet based on the operation detection data, whether the switch cabinet is abnormal in operation or not is determined, the abnormal condition is classified and judged, then the fault position in the switch cabinet is positioned after the fault type is determined, the decision analysis is carried out on the fault of the switch cabinet, the state analysis result is carried out, the state analysis result and the fault position information are displayed, meanwhile, the fault alarm signal is sent out, the accurate classification of the fault in the switch cabinet and the accurate positioning of the fault point are realized, and the influence of the mechanical fault in the switch cabinet on the insulation fault is avoided.
In one embodiment, the state detection module includes an operation detection unit and an environment detection unit, both of which are connected to the intelligent analysis module.
The operation detection unit is used for detecting the operation state of the switch cabinet and obtaining operation state data.
The environment detection unit is used for detecting the internal environment of the switch cabinet and obtaining environment detection data.
Specifically, when detecting the switch cabinet in real time, the operation state data and the environment detection data of the switch cabinet are collected. And whether the switch cabinet operates normally or not is further determined through analysis of the operation state data, and fault points can be positioned when the operation is abnormal. After positioning, environmental analysis is further performed on the internal environment of the switch cabinet through environment detection data, so that assistance can be provided for positioning of fault points, and data support can be provided for state analysis of the switch cabinet.
In the embodiment, through the detection of the operation of the switch cabinet and the detection of the internal environment, the auxiliary judgment basis is provided for the positioning of the fault point when the abnormal operation of the switch cabinet is determined, the data support can be provided for the comprehensive state of the switch cabinet, and the accuracy and the anti-interference capability of fault diagnosis are effectively improved.
In one embodiment, the display alarm module includes a data display unit and a fault alarm unit, the output end of the state detection module and the output end of the fault location module are both connected with the input end of the data display unit, and the input end of the fault alarm unit is connected with the output end of the intelligent analysis module, wherein:
and the data display unit is used for receiving the target display data and displaying the target display data.
And the fault alarm unit is used for receiving the state analysis result and controlling a fault alarm signal according to the state analysis result.
Specifically, after the state analysis of the switch cabinet and the positioning of the fault point under the fault condition are completed, the state information under the normal operation is displayed in real time, or the fault type and the corresponding fault position data under the abnormal operation are displayed in real time. And meanwhile, under abnormal operation, the fault alarm unit gives out fault alarm.
In the embodiment, the state of the switch cabinet is displayed in real time, meanwhile, a fault alarm can be sent out when the operation is abnormal, so that an operator can know the state of the switch cabinet in time conveniently, and the operation is processed according to corresponding state data.
In one embodiment, the fault diagnosis system further includes an abnormal operation database, and the abnormal operation data includes partial discharge signal data, vibration signal data, and environment detection data. The abnormal operation database is connected with the output end of the state detection module and is used for storing abnormal operation data and carrying out fault analysis based on the abnormal operation data; the abnormal operation database includes:
the partial discharge signal database is used for storing the partial discharge signal data generated by the partial discharge in the state detection module acquisition switch cabinet.
And the vibration signal database is used for storing vibration signal data generated by the abnormal operation of the switch cabinet collected by the state detection module.
The environment detection database is used for storing environment detection data in the state detection module acquisition switch cabinet.
Specifically, when the intelligent analysis module determines that the switch cabinet is abnormal in operation based on the state detection data, data corresponding to the abnormal operation in the state detection data is stored in an abnormal operation database. When maintenance personnel perform maintenance, abnormal operation data can be called, and the analysis result is verified based on the abnormal operation data, and the correctness of the fault result is manually confirmed.
In the embodiment, the abnormal operation data corresponding to the abnormal operation is stored in the abnormal operation database, so that maintenance personnel can conveniently call the abnormal operation data, the operation state of the switch cabinet and the fault of the switch cabinet are verified based on the abnormal operation data, the system fault is avoided, and meanwhile, the accurate fault type and the fault position data thereof are provided for the maintenance personnel, so that the maintenance is convenient.
In one embodiment, as shown in fig. 2, a fault detection method is provided, where the method is applied to a terminal to illustrate the fault detection method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step 202, operation detection data of the switch cabinet are obtained.
Specifically, in the operation process of the switch cabinet, operation detection data of the switch cabinet are collected in real time.
And 204, analyzing the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result.
Wherein the operation detection data includes operation state data and environment detection data.
Specifically, the operation state data in the operation detection data is used for analyzing and judging the switch cabinet, so that a fault analysis result of the switch cabinet is obtained. And meanwhile, detecting the internal environment of the switch cabinet by the environment detection data in the operation detection data to obtain an internal environment analysis result of the switch cabinet. And comprehensively evaluating the switch cabinet by combining the fault analysis result and the environment analysis result to obtain a state analysis result.
And 206, positioning the fault point according to the operation detection data to obtain fault position data when the state analysis result is abnormal operation state.
Specifically, when the state analysis result shows abnormality, the operation state data processing analysis in the operation detection data is utilized to locate the fault point, so as to obtain fault position data.
And step 208, setting the operation detection data and the fault position data as target display data and displaying, and controlling a fault alarm signal based on the state analysis result.
Specifically, after the fault point positioning is completed, the operation detection data and the fault position data are simultaneously displayed in real time in a display device on the switch cabinet. And simultaneously, controlling to send out a fault alarm signal according to the fault analysis result of the determined state analysis result.
And 210, setting the operation detection data as target display data and displaying the target display data when the state analysis result is that the operation state is normal.
Specifically, when the state analysis result is displayed normally, the operation detection data is displayed in real time in a display device on the switch cabinet.
In the embodiment, by acquiring the operation detection data and judging whether the operation of the switch cabinet is normal based on the operation state data in the operation detection data and then combining the environment detection data in the operation detection data for auxiliary judgment, the accurate detection and analysis of the operation state of the switch cabinet are realized, and the anti-interference capability of fault detection is effectively improved.
In one embodiment, as shown in fig. 3, locating a fault point according to the operation detection data to obtain fault location data includes:
and step 302, performing operation judgment on the switch cabinet according to vibration data in the current time operation state data and a preset operation threshold value to obtain a current time operation judgment result.
The preset operation threshold value comprises a preset vibration threshold value, and the current operation judgment result comprises normal operation of the switch cabinet and abnormal operation of the switch cabinet.
Specifically, after the operation state data is obtained, comparing and judging the vibration data at the current moment with a preset vibration threshold value in preset operation thresholds, and determining the operation judgment result at the current moment of the switch cabinet according to the judgment result.
Step 304, when the operation judgment result at the current moment is that the switch cabinet normally operates, collecting the switch cabinet in the operation process at the next moment to obtain the collected data at the next moment; preprocessing the acquired data at the next moment to obtain running state data at the next moment; and carrying out operation judgment on the switch cabinet according to vibration data in the operation state data at the next moment to obtain an operation judgment result at the next moment.
Specifically, when the vibration data at the current moment is within the preset vibration threshold range, the switch cabinet is judged to be in the normal running state, and the state detection module in the switch cabinet is controlled to continuously detect the switch cabinet, namely, the running state data at the next moment is acquired. And after the next time running state data is obtained, comparing and judging the vibration data in the next time running state data with a preset vibration threshold value, and further obtaining a next time running judgment result.
And 306, when the operation judgment result at the current moment is abnormal operation of the switch cabinet, performing fault judgment and fault positioning on the switch cabinet according to the operation state data at the current moment to obtain fault type and fault position data.
Specifically, when vibration data at the current moment exceeds a preset vibration threshold range, the fault type of the switch cabinet is analyzed by utilizing state operation data at the current moment, and fault points are positioned, so that the fault type of the switch cabinet and fault position data thereof at the current moment are obtained.
In the embodiment, the operation state of the switch cabinet is determined by comparing the obtained operation state data at the current moment with the preset state threshold value, so that the effects of real-time detection and real-time analysis are realized, meanwhile, the fault type and the fault position data are determined based on the operation detection data when the abnormal operation is determined, the positions of fault points are effectively and accurately found, and an operator can know the state of the switch cabinet conveniently and maintain conveniently.
In one embodiment, as shown in fig. 4, performing fault judgment and fault positioning on the switch cabinet according to the current running state data at the moment to obtain fault type and fault position data, including:
and step 402, performing fault analysis on the switch cabinet according to vibration data in the running state data at the current moment to obtain a preliminary fault analysis result.
The operation state data further comprises ultrasonic data and ultrahigh frequency data, the primary fault analysis result comprises the existence of mechanical faults in the switch cabinet and the absence of mechanical faults in the switch cabinet, and the preset vibration threshold value comprises a mechanical fault threshold value.
Specifically, the operation state data at the current moment and a preset vibration threshold value are utilized to carry out preliminary fault judgment on the switch cabinet, and an analysis result of the preliminary fault is obtained.
And step 404, when the primary fault analysis result shows that the mechanical fault exists in the switch cabinet, carrying out mechanical fault identification and mechanical fault positioning on the switch cabinet according to vibration data in the running state data at the current moment to obtain the mechanical fault type and mechanical fault position data.
Specifically, when vibration data at the current moment exceeds the range of a preset vibration threshold value, a preliminary fault analysis result is that mechanical faults exist in the switch cabinet, then the fault type is determined based on the vibration data at the current moment, and position data of mechanical fault points are obtained through calculation.
And 406, when the primary fault analysis result shows that no mechanical fault exists in the switch cabinet, carrying out insulation fault identification and insulation fault positioning on the switch cabinet according to the ultrasonic data and the ultra-high frequency data in the running state data at the current moment, and obtaining the insulation fault type and the insulation fault position data.
Specifically, when the vibration data at the current time is within the range of the preset vibration threshold, there is an insulation fault due to an abnormal operation state of the switch cabinet. And carrying out insulation fault analysis on the switch cabinet based on ultrasonic data and ultra-high frequency data in the running state data at the current moment, determining the type of the insulation fault, and determining the position data of the insulation fault point through calculation.
In the embodiment, the analysis and judgment of the mechanical fault are performed through the vibration data at the current moment, the analysis and judgment of the insulation fault are performed by utilizing the ultrasonic data and the ultra-high frequency data, the fault problem existing in the operation process of the switch cabinet is fully considered, the position information of the fault point can be accurately calculated, the anti-interference performance of the fault judgment is improved, and the identification of the mechanical fault and the insulation fault is effectively distinguished.
In one embodiment, as shown in fig. 5, after performing mechanical fault identification and mechanical fault location on the switchgear according to vibration data in the current time operation state data, the method further includes:
and 502, analyzing the switch cabinet according to vibration data in the running state data at the current moment and a preset vibration threshold value to obtain an analysis result.
The analysis result comprises the existence of an insulation fault in the switch cabinet and the absence of the insulation fault in the switch cabinet, and the preset vibration threshold value comprises an insulation fault threshold value.
Specifically, the switch cabinet is analyzed and judged by utilizing the running state data at the current moment and a preset vibration threshold value, and an analysis result is obtained.
Step 504, when the analysis result shows that the switch cabinet has an insulation fault, performing insulation fault identification and insulation fault positioning on the switch cabinet according to the ultrasonic data and the ultra-high frequency data in the running state data at the current moment to obtain insulation fault type and insulation fault position data; and accurately positioning the fault position according to the insulation fault position data and the environment detection data to obtain first target fault position data.
Wherein the environment detection data includes temperature detection data and humidity detection data.
Specifically, when the switch cabinet has an insulation fault, the first position data is obtained according to analysis of the ultrasonic data. And obtaining second position data based on the analysis of the ultrahigh frequency data. And further narrowing the position range by combining the first position data and the second position data to obtain the narrowed position data. And then, respectively analyzing the temperature detection data and the humidity detection data in the environment detection data to obtain local overheat position data and local humidity dense position data in the switch cabinet, combining and analyzing the local overheat position data and the local humidity dense position data with the reduced position data, and reducing the position range again to obtain the first target fault position.
And step 506, when the analysis result shows that the insulation fault does not exist in the switch cabinet, accurately positioning the fault position according to the mechanical fault position data and the environment detection data, and obtaining second target fault position data.
Specifically, when no insulation fault exists in the switch cabinet, the position range of the local overheat position data and the local humidity intensive position data obtained by combining and analyzing the mechanical fault position data is narrowed, and second target fault position data is obtained.
In the embodiment, after analyzing and determining whether an insulation fault exists in the switch cabinet, the position data obtained based on the running state data are further analyzed by combining with the environment detection data, and the position range is narrowed to obtain the target fault position data, so that the accurate classification of faults in the switch cabinet and the accurate positioning of fault points are realized
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a fault detection device for realizing the fault diagnosis system. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the fault detection device or devices provided below may be referred to the limitation of the fault diagnosis system hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 6, there is provided a fault detection apparatus including: the intelligent analysis module 602, the ultrasonic sensor 604, the ultrahigh frequency sensor 606, the vibration sensor 608, the infrared thermal imager 610 and the humidity sensor 612, wherein the ultrasonic sensor is arranged inside the switch cabinet and is connected with the intelligent analysis module, the ultrahigh frequency sensor is arranged on the outer surface of the switch cabinet and is connected with the intelligent analysis module, the vibration sensor is arranged on the outer surface of the switch cabinet and is connected with the intelligent analysis module, the infrared thermal imager is arranged inside the switch cabinet and is connected with the intelligent analysis module, and the humidity sensor is arranged inside the switch cabinet and is connected with the intelligent analysis module; wherein:
the intelligent analysis module 602 is configured to obtain operation state data and environment detection data of the switch cabinet.
The ultrasonic sensor 604 is used for collecting ultrasonic signals generated by partial discharge inside the switch cabinet and transmitting the ultrasonic signals to the intelligent analysis module.
The ultrahigh frequency sensor 606 is used for collecting the ultrahigh frequency electromagnetic wave signal leaked from the metal gap of the switch cabinet and transmitting the ultrahigh frequency electromagnetic wave signal to the intelligent analysis module.
The vibration sensor 608 is configured to collect a vibration wave signal generated by abnormal operation inside the switch cabinet, and transmit the vibration wave signal to the intelligent analysis module.
The infrared thermal imager 610 is configured to collect temperature data during operation of the switch cabinet, and transmit the temperature data to the intelligent analysis module.
Humidity sensor 612 is used for gathering the humidity data of cubical switchboard operation in-process to the intelligent analysis module is transmitted to humidity data.
In one embodiment, the fault detection device further comprises a dehumidification device, and the dehumidification device is connected with the intelligent analysis module. The dehumidifying device is used for processing the heat and humidity load in the switch cabinet.
The respective modules in the above-described fault detection device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a fault detection method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A fault diagnosis system, the system comprising:
the state detection module is used for acquiring operation detection data of the switch cabinet;
the intelligent analysis module is used for carrying out state analysis on the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result;
the fault positioning module is used for positioning a fault point according to the operation detection data to obtain fault position data when the state analysis result is abnormal in operation state;
the display alarm module is used for setting the operation detection data and the fault position data as target display data and displaying the target display data, and controlling a fault alarm signal based on the state analysis result;
and the display alarm module is also used for setting the running state data as target display data and displaying the target display data when the running state is normal as the state analysis result.
2. The fault diagnosis system according to claim 1, wherein the operation detection data includes operation state data and environment detection data; the state detection module comprises:
the operation detection unit is connected with the intelligent analysis module and used for detecting the operation state of the switch cabinet and obtaining operation state data;
and the environment detection unit is connected with the intelligent analysis module and used for detecting the internal environment of the switch cabinet to obtain environment detection data.
3. The fault diagnosis system of claim 1, wherein the display alarm module comprises:
the data display unit is connected with the output end of the state detection module and the output end of the fault positioning module and is used for receiving the target display data and displaying the target display data;
the fault alarm unit is connected with the output end of the intelligent analysis module and used for receiving the state analysis result and controlling a fault alarm signal according to the state analysis result.
4. The fault diagnosis system according to claim 1, further comprising an abnormal operation database connected to an output of the state detection module for storing abnormal operation data and performing fault analysis based on the abnormal operation data; the abnormal operation data comprise partial discharge signal data, vibration signal data and environment detection data; the abnormal operation database includes:
the partial discharge signal database is used for storing partial discharge signal data generated by partial discharge in the state detection module acquisition switch cabinet;
the vibration signal database is used for collecting vibration signal data generated by abnormal operation of the switch cabinet by the storage state detection module;
the environment detection database is used for storing environment detection data in the state detection module acquisition switch cabinet.
5. A fault detection method for controlling the fault diagnosis system according to any one of claims 1 to 4, the method comprising:
acquiring operation detection data of a switch cabinet;
analyzing the switch cabinet according to the operation detection data and a preset decision model to obtain a state analysis result;
when the state analysis result is abnormal running state, positioning a fault point according to the running detection data to obtain fault position data;
setting the operation detection data and the fault position data as target display data and displaying, and controlling a fault alarm signal based on the state analysis result;
and when the state analysis result is that the running state is normal, setting the running detection data as target display data and displaying the target display data.
6. The method of claim 5, wherein the operational status data comprises vibration data; the step of locating the fault point according to the operation detection data to obtain fault position data comprises the following steps:
judging the operation of the switch cabinet according to vibration data in the current time operation state data and a preset operation threshold value, and obtaining a current time operation judgment result;
when the current moment operation judgment result is that the switch cabinet normally operates, collecting the switch cabinet in the next moment operation process to obtain the next moment collected data; preprocessing the acquired data at the next moment to obtain running state data at the next moment; according to vibration data in the operation state data of the next moment, the operation judgment of the switch cabinet is carried out, and the operation judgment result of the next moment is obtained;
and when the current moment operation judgment result is abnormal operation of the switch cabinet, performing fault judgment and fault positioning on the switch cabinet according to the current moment operation state data to obtain fault type and fault position data.
7. The method of claim 6, wherein the operational status data further comprises ultrasonic data and uhf data; the fault judgment and fault positioning are carried out on the switch cabinet according to the running state data at the current moment, and the fault type and fault position data are obtained, including:
performing fault analysis on the switch cabinet according to vibration data in the running state data at the current moment to obtain a preliminary fault analysis result;
when the preliminary fault analysis result shows that the mechanical fault exists in the switch cabinet, carrying out mechanical fault identification and mechanical fault positioning on the switch cabinet according to the vibration data in the current moment running state data to obtain the mechanical fault type and mechanical fault position data;
and when the preliminary fault analysis result shows that no mechanical fault exists in the switch cabinet, carrying out insulation fault identification and insulation fault positioning on the switch cabinet according to the ultrasonic data and the ultra-high frequency data in the current moment running state data, and obtaining insulation fault type and insulation fault position data.
8. The method of claim 7, wherein after said mechanical fault identification and mechanical fault localization of the switchgear based on vibration data in said current time of day operational state data, obtaining mechanical fault type and mechanical fault location data, the method further comprises:
analyzing the switch cabinet according to vibration data in the current moment running state data and a preset vibration threshold value to obtain an analysis result;
when the analysis result shows that the switch cabinet has an insulation fault, the switch cabinet is subjected to insulation fault identification and insulation fault positioning according to the ultrasonic data and the ultra-high frequency data in the current moment running state data, and insulation fault type and insulation fault position data are obtained; accurately positioning the fault position according to the insulation fault position data and the environment detection data to obtain first target fault position data;
and when the analysis result shows that the insulation fault does not exist in the switch cabinet, accurately positioning the fault position according to the mechanical fault position data and the environment detection data, and obtaining second target fault position data.
9. A fault detection device adapted for use in a fault diagnosis system according to any one of claims 1-4, said device comprising:
the intelligent analysis module is used for acquiring the running state data and the environment detection data of the switch cabinet;
the ultrasonic sensor is arranged inside the switch cabinet and connected with the intelligent analysis module, and is used for collecting ultrasonic signals generated by partial discharge inside the switch cabinet and transmitting the ultrasonic signals to the intelligent analysis module;
the ultrahigh frequency sensor is arranged on the outer surface of the switch cabinet and connected with the intelligent analysis module, and is used for collecting ultrahigh frequency electromagnetic wave signals leaked from metal gaps of the switch cabinet and transmitting the ultrahigh frequency electromagnetic wave signals to the intelligent analysis module;
the vibration sensor is arranged on the outer surface of the switch cabinet and connected with the intelligent analysis module, and is used for collecting vibration wave signals generated by abnormal operation inside the switch cabinet and transmitting the vibration wave signals to the intelligent analysis module;
the infrared thermal imager is arranged inside the switch cabinet and connected with the intelligent analysis module, and is used for collecting temperature data in the operation process of the switch cabinet and transmitting the temperature data to the intelligent analysis module;
humidity sensor sets up inside the cubical switchboard and with intelligent analysis module is connected for gather the humidity data of cubical switchboard operation in-process, and will humidity data transmission extremely intelligent analysis module.
10. The apparatus of claim 9, further comprising a dehumidification device coupled to the intelligent analysis module for processing heat and humidity loads in the switchgear.
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| CN202310778005.6A CN116794434A (en) | 2023-06-28 | 2023-06-28 | Fault diagnosis system, fault detection method and device |
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| CN202310778005.6A CN116794434A (en) | 2023-06-28 | 2023-06-28 | Fault diagnosis system, fault detection method and device |
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