Disconnecting switch opening and closing state diagnosis method and device

Abstract

The invention relates to the technical field of equipment diagnosis, and discloses a disconnecting switch opening and closing state diagnosis method and device, and the method comprises the steps: obtaining state data corresponding to the opening and closing of a disconnecting switch, obtaining diagnosis data corresponding to the state data, training a preset diagnosis expert model through the state data and the diagnosis data, and carrying out the diagnosis of the opening and closing states of the disconnecting switch. And operating the diagnosis expert model to judge the opening and closing states of the isolating switch. The device corresponds to the method. According to the method and the device, a data basis is provided for improving pertinence and intelligence of disconnecting switch opening and closing state diagnosis by acquiring the state data and the diagnosis data, and the diagnosis expert model obtained by utilizing the state data and the diagnosis data provides technical guarantee for improving intelligence; the full-cycle life database obtained by using the state data and the diagnosis data provides data reference for improving pertinence, thereby realizing optimization of disconnecting switch opening and closing state diagnosis.

Description

Technical Field

[0001] The present application relates to the technical field of equipment diagnosis, and in particular to a method and device for diagnosing the opening and closing status of an isolating switch. Background Art

[0002] With the rapid expansion of the scale of power systems, the use of disconnectors has become more and more widespread. As an important basic component in electricity, it is necessary to diagnose their opening and closing states. It is not difficult to find out from the existing technologies that most of them use the distance and duration of the corresponding opening and closing to determine whether they are normal or not. There is a lack of use of data during the opening and closing process, and the actual application environment of the opening and closing is not considered. There is a lack of pertinence, and there is a lack of effective diagnosis of the entire cycle of the disconnector. Combined with the above defects, the existing technology has poor pertinence and intelligence in diagnosing the opening and closing states of the disconnector.

[0003] Chinese patent number CN202310817296.5 discloses a grounding switch position auxiliary confirmation system based on laser ranging technology, including system design module, system test module, software and hardware installation module, system on-site debugging module, performance capability and quality assurance module and after-sales service module; system design module, including system architecture design unit, system judgment logic design unit, hardware parameter design unit and hardware appearance design unit; system test module, including system factory test unit and third-party test unit; system architecture design unit adopts a technical path based on laser ranging according to the double confirmation criteria for disconnecting and closing of disconnecting switches, that is, a double confirmation system for disconnecting switch position based on laser ranging sensor technology, which is composed of a laser ranging sensor, a communication gateway, a host computer software, a mounting bracket and a protective cover; the disconnecting and closing distance of the disconnecting switch is used to determine whether the disconnecting and closing are in place. However, the invention fails to achieve effective diagnosis of the entire cycle of the disconnecting switch, and it lacks the use of data in the process of disconnecting and closing.

[0004] In summary, the prior art urgently needs a technical solution for optimizing the diagnosis of the opening and closing status of the isolating switch. Summary of the invention

[0005] The purpose of the present application is to provide a method and device for diagnosing the opening and closing status of an isolating switch, so as to solve the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, this application discloses the following technical solutions:

[0007] In a first aspect, the present application discloses a method for diagnosing the disconnection and closing states of an isolating switch, the method comprising:

[0008] Acquire state data corresponding to the opening and closing of the isolating switch, acquire diagnostic data corresponding to the state data, train a preset diagnostic expert model using the state data and the diagnostic data, and run the diagnostic expert model to determine the opening and closing state of the isolating switch;

[0009] The status data at least includes distance data, and the distance data is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal state, abnormal state and life assessment result; the life assessment result is used to characterize the equipment health of the opening and closing of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate the life assessment result; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate the corresponding safety measures and life assessment results.

[0010] Preferably, the process of generating the status data includes:

[0011] The laser ranging technology is used to collect the distance between the opening and closing moving contact and the static contact in real time, and the time corresponding to the change of the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

[0012] Preferably, the process of generating the diagnostic data includes:

[0013] The expert who obtains the history determines the distance threshold and the duration threshold used when the opening and closing states are determined based on the distance data, and obtains the threshold data;

[0014] The expert who obtains the history determines the response method to be taken when the opening and closing state is a normal state or an abnormal state based on the threshold data, and defines the response method as the safety measure.

[0015] Preferably, the process of generating the life assessment result includes:

[0016] The full-cycle life database is called, and the construction process of the full-cycle life database includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time length corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time length with the highest probability in the probability distribution as the life period time length feature, and the life period time length feature is used to determine the life period of the isolating switch opening and closing by using the time length; statistically analyzing the probability distribution of abnormal frequencies of the opening and closing of the isolating switch being determined as the abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; and packaging the life period time length feature and the life period abnormal frequency feature to obtain the full-cycle life database;

[0017] The real-time duration and the real-time abnormal frequency are obtained and compared with the life period duration characteristics and the life period abnormal frequency characteristics to obtain the life assessment result.

[0018] Preferably, the operation process of the diagnostic expert model includes:

[0019] Get real-time status data;

[0020] Using the threshold data and the real-time status data to judge the opening and closing state, when the opening and closing state is the abnormal state, matching the corresponding safety measures;

[0021] The life assessment result is generated using the full-cycle life database and the real-time status data.

[0022] In a second aspect, the present application discloses a disconnector opening and closing state diagnosis device, which is applicable to the disconnector opening and closing state diagnosis method as described above, and the device comprises:

[0023] A status data acquisition module, wherein the status data acquisition module is configured to acquire status data corresponding to the disconnector opening and closing;

[0024] a diagnostic data acquisition module, the diagnostic data acquisition module being configured to acquire diagnostic data corresponding to the status data;

[0025] A diagnostic expert model training module, wherein the diagnostic expert model training module is configured to train a preset diagnostic expert model using the state data and the diagnostic data;

[0026] A diagnostic expert model running module, wherein the diagnostic expert model running module is configured to run the diagnostic expert model to determine the opening and closing states of the disconnector;

[0027] The status data at least includes distance data, and the distance data is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal state, abnormal state and life assessment result; the life assessment result is used to characterize the equipment health of the opening and closing of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate the life assessment result; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate the corresponding safety measures and life assessment results.

[0028] Preferably, the process of generating the status data includes:

[0029] The laser ranging technology is used to collect the distance between the opening and closing moving contact and the static contact in real time, and the time corresponding to the change of the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

[0030] Preferably, the process of generating the diagnostic data includes:

[0031] The expert who obtains the history determines the distance threshold and the duration threshold used when the opening and closing states are determined based on the distance data, and obtains the threshold data;

[0032] The expert who obtains the history determines the response method to be taken when the opening and closing state is a normal state or an abnormal state based on the threshold data, and defines the response method as the safety measure.

[0033] Preferably, the process of generating the life assessment result includes:

[0034] The full-cycle life database is called, and the construction process of the full-cycle life database includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time length corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time length with the highest probability in the probability distribution as the life period time length feature, and the life period time length feature is used to determine the life period of the isolating switch opening and closing by using the time length; statistically analyzing the probability distribution of abnormal frequencies of the opening and closing of the isolating switch being determined as the abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; and packaging the life period time length feature and the life period abnormal frequency feature to obtain the full-cycle life database;

[0035] The real-time duration and the real-time abnormal frequency are obtained and compared with the life period duration characteristics and the life period abnormal frequency characteristics to obtain the life assessment result.

[0036] Preferably, the operation process of the diagnostic expert model includes:

[0037] Get real-time status data;

[0038] Using the threshold data and the real-time status data to judge the opening and closing state, when the opening and closing state is the abnormal state, matching the corresponding safety measures;

[0039] The life assessment result is generated using the full-cycle life database and the real-time status data.

[0040] Beneficial effect: The disconnector opening and closing state diagnosis method and device of the present application provide a data basis for improving the pertinence and intelligence of the disconnector opening and closing state diagnosis by acquiring status data and diagnostic data. Among them, the diagnostic expert model obtained using the status data and diagnostic data provides technical guarantee for improving intelligence, and the full-cycle life database obtained using the status data and diagnostic data provides data reference for improving pertinence, thereby realizing the optimization of the disconnector opening and closing state diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 A flowchart of a method for diagnosing the opening and closing states of a switch provided in an embodiment of the present application;

[0043] Figure 2 This is a structural block diagram of the opening and closing state diagnosis device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0045] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0046] In a first aspect, this embodiment discloses Figure 1 A method for diagnosing the disconnecting and closing states of an isolating switch is shown, the method comprising:

[0047] S1: Get the corresponding status data when the disconnector is opened and closed

[0048] S2: Get diagnostic data corresponding to the status data

[0049] S3: Use status data and diagnosis data to train the preset diagnostic expert model

[0050] S4: Run the diagnostic expert model to determine the opening and closing status of the disconnector;

[0051] The status data at least includes distance data, which is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal status, abnormal status and life assessment results; the life assessment results are used to characterize the health of the opening and closing equipment of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate life assessment results; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts the existing expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate corresponding safety measures and life assessment results.

[0052] Based on the above, this embodiment provides a data basis for improving the pertinence and intelligence of the disconnector opening and closing state diagnosis by acquiring status data and diagnostic data. Among them, the diagnostic expert model obtained using the status data and diagnostic data provides technical support for improving intelligence, and the full-cycle life database obtained using the status data and diagnostic data provides data reference for improving pertinence, thereby realizing the optimization of the disconnector opening and closing state diagnosis.

[0053] Specifically, the process of generating status data includes:

[0054] The existing laser ranging technology is used to collect the distance between the moving contact and the static contact of the opening and closing switch in real time, and the time corresponding to the change in the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

[0055] It should be noted that, in this embodiment, the distance between the moving contact and the static contact of the opening and closing circuit breaker and the corresponding action duration are collected and recorded in real time. For example, when closing the circuit breaker: the time corresponding to reaching a distance of 5 cm is 2.6 seconds, and the time corresponding to reaching a distance of 10 cm is 5.2 seconds; when opening the circuit breaker: the time corresponding to reaching a distance of 5 cm is 2.5 seconds, and the time corresponding to reaching a distance of 10 cm is 5.1 seconds; thereby, the fine quantification of the opening and closing process is achieved, providing a data basis for building a full-cycle life database.

[0056] It can be understood that in the actual application of the disconnector opening and closing status diagnosis, the status data can also include current data, voltage data, mechanical vibration data and sound data, etc., so as to comprehensively describe the opening and closing status, and integrate the corresponding data into the diagnostic expert model and full-cycle life database of this embodiment, so as to provide a more comprehensive data foundation.

[0057] Therefore, this embodiment provides a data basis for conducting disconnector opening and closing status diagnosis by acquiring status data, and also provides a finely quantified data basis for building a full-cycle life database.

[0058] Specifically, the process of generating diagnostic data includes:

[0059] The expert who obtains the history uses the distance threshold and duration threshold to determine the opening and closing states based on the distance data, and obtains the threshold data;

[0060] The expert who obtains the history determines the response method to be taken when the opening and closing state is normal or abnormal based on the threshold data, and defines the response method as a safety measure.

[0061] It should be noted that the distance threshold and duration threshold of the present embodiment are based on expert experience data and statistical experience data that can be obtained by technicians in this field. For example, for a certain type of high-voltage disconnector, experts have found in long-term practice and research that when the disconnector is in a fully closed state, the distance between the moving contact and the static contact should be less than or equal to 5 mm, and the distance threshold of 5 mm is based on expert experience data; such as statistics and analysis of the duration of a large number of opening operations, statistics of 100 opening operations, and it is found that 95% of the operation time is less than or equal to 8 seconds, then the duration threshold of 8 seconds is based on statistical experience data; the safety measures of the present embodiment are based on the response methods taken in normal or abnormal states that can be obtained by technicians in this field. For example, under normal conditions, periodic operation and maintenance of disconnectors are carried out, and when the opening is not in place under abnormal conditions, technical personnel are organized to check the operating mechanism to see if there is jamming, mechanical failure or electrical failure, such as checking whether there are foreign objects stuck in the transmission parts, whether the motor is running normally, and whether there are fault signals in the control circuit.

[0062] Therefore, this embodiment provides a data basis for diagnosing the opening and closing status of the disconnecting switch by acquiring diagnostic data.

[0063] Specifically, the process of generating life assessment results includes:

[0064] Calling a full-cycle life database, the construction process of which includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time with the highest probability in the probability distribution as the life period time feature, and the life period time feature is used to determine the life period of the isolating switch opening and closing by using the time; statistically analyzing the probability distribution of the abnormal frequency of the isolating switch opening and closing being determined as an abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; packaging the life period time feature and the life period abnormal frequency feature to obtain the full-cycle life database;

[0065] The real-time duration and real-time abnormal frequency are obtained and compared with the duration characteristics and abnormal frequency characteristics of the life period to obtain the life assessment result.

[0066] It should be noted that the life period duration characteristics and life period abnormal frequency characteristics of this embodiment both respond to the normal state, and both reflect the aging of the disconnector due to different geographical locations, environmental conditions and years of use. For example, changes in real-time duration may be caused by changes in lubricating oil performance under high temperature conditions, changes in real-time duration may be caused by wear of the mechanical structure due to increased years of use, and changes in real-time abnormal frequency may be caused by aging and instability of the electrical system. In this regard, this embodiment collects historical status data and historical diagnostic data in accordance with local conditions to realize the collection of full-cycle life data of the disconnector in a more personalized way, providing an accurate data basis for the personalized generation of life assessment results; the life period duration characteristics and life period abnormal frequency characteristics of this embodiment are both statistically analyzed using existing statistical techniques. For example, when the number of opening and closing times is 400, the time with the highest probability of reaching a distance of 5 cm is 2.6 seconds, and the time with the highest probability of reaching a distance of 10 cm is 5.2 seconds; when the number of opening and closing times is 600, the time with the highest probability of reaching a distance of 5 cm is 2.75 seconds, and the time with the highest probability of reaching a distance of 10 cm is 5.4 seconds; The rate is 1%, and the highest probability abnormal frequency is 1.7% when the number of opening and closing times is 401 to 800 times. Therefore, the life period of the disconnecting switch is reflected by different life period duration characteristics and life period abnormal frequency characteristics, providing data reference for guiding the maintenance and replacement of the disconnecting switch. The longer the corresponding life period duration characteristics and the higher the life period abnormal frequency characteristics, the worse the opening and closing state of the disconnecting switch, that is, the closer the life period is to the end, the forced replacement is required. The comparison of the real-time duration and the real-time abnormal frequency with the life period duration characteristics and the life period abnormal frequency characteristics of this embodiment is an analysis of the deviation therebetween, which can be achieved using existing numerical deviation analysis technology, for example, such as standard value comparison analysis method, and the obtained life assessment results are used to quantitatively display the aging of the disconnecting switch.

[0067] Based on the above, this embodiment realizes a full-cycle targeted evaluation of the isolating switch through the life evaluation results, and provides a data reference for improving the targeted diagnosis of the opening and closing status of the isolating switch.

[0068] Specifically, the operation process of the diagnostic expert model includes:

[0069] Get real-time status data;

[0070] The opening and closing state is determined by using the threshold data and the real-time state data. It is well known to those skilled in the art that when the real-time state data does not meet the threshold data, it is an abnormal state. For example, when the distance between the moving contact and the static contact should be less than or equal to 5 mm during normal closing, the corresponding action time should be less than 8 seconds. However, the distance between the moving contact and the static contact in the real-time state data is 7 mm and the corresponding action time is 11 seconds, which is determined to be an abnormal state. When the opening and closing state is an abnormal state, the corresponding safety measures are matched;

[0071] The life assessment results are generated using the full-cycle life database and real-time status data, that is, the real-time duration and the corresponding real-time abnormal frequency are combined with the standard value comparison analysis method mentioned above to obtain quantitative life assessment results.

[0072] Based on the above, this embodiment realizes real-time judgment of normal state or abnormal state through the diagnostic expert model, provides data reference for timely taking safety measures, and realizes full-cycle life assessment, providing data reference for optimizing the full-cycle operation and maintenance of the disconnector. Thus, the diagnostic expert model realizes the improvement of the intelligence of the disconnector opening and closing state diagnosis.

[0073] In a second aspect, this embodiment discloses Figure 2 The device for diagnosing the disconnecting and closing states of an isolating switch shown in the figure is applicable to the method for diagnosing the disconnecting and closing states of an isolating switch as described above, and the device comprises:

[0074] A status data acquisition module, the status data acquisition module is configured to acquire status data corresponding to the disconnector opening and closing;

[0075] A diagnostic data acquisition module, the diagnostic data acquisition module is configured to acquire diagnostic data corresponding to the status data;

[0076] A diagnostic expert model training module, the diagnostic expert model training module is configured to train a preset diagnostic expert model using the state data and the diagnostic data;

[0077] A diagnostic expert model operation module, wherein the diagnostic expert model operation module is configured to run the diagnostic expert model to determine the opening and closing states of the disconnector;

[0078] The status data at least includes distance data, which is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal status, abnormal status and life assessment results; the life assessment results are used to characterize the health of the opening and closing equipment of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate life assessment results; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate corresponding safety measures and life assessment results.

[0079] Specifically, the process of generating status data includes:

[0080] Laser ranging technology is used to collect the distance between the moving contact and the static contact of the opening and closing switch in real time, and the time corresponding to the change in the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

[0081] Specifically, the process of generating diagnostic data includes:

[0082] The expert who obtains the history uses the distance threshold and duration threshold to determine the opening and closing states based on the distance data, and obtains the threshold data;

[0083] The expert who obtains the history determines the response method to be taken when the opening and closing state is normal or abnormal based on the threshold data, and defines the response method as a safety measure.

[0084] Specifically, the process of generating life assessment results includes:

[0085] Calling a full-cycle life database, the construction process of which includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time with the highest probability in the probability distribution as the life period time feature, and the life period time feature is used to determine the life period of the isolating switch opening and closing by using the time; statistically analyzing the probability distribution of the abnormal frequency of the isolating switch opening and closing being determined as an abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; packaging the life period time feature and the life period abnormal frequency feature to obtain the full-cycle life database;

[0086] The real-time duration and real-time abnormal frequency are obtained and compared with the duration characteristics and abnormal frequency characteristics of the life period to obtain the life assessment result.

[0087] Specifically, the operation process of the diagnostic expert model includes:

[0088] Get real-time status data;

[0089] Use threshold data and real-time status data to determine the opening and closing status. When the opening and closing status is abnormal, match the corresponding safety measures;

[0090] Generate life assessment results using a full-cycle life database and real-time status data.

[0091] It should be noted that the disconnector opening and closing state diagnosis system of the present embodiment corresponds to the aforementioned disconnector opening and closing state diagnosis method. Therefore, the contents not specifically described in the disconnector opening and closing state diagnosis system, including but not limited to technical effects, specific technical means, etc., can be referred to the specific records in the aforementioned disconnector opening and closing state diagnosis method, and this text will not repeat them here.

[0092] In summary, the disconnector opening and closing state diagnosis method and device of the present embodiment, by acquiring status data and diagnostic data, provides a data basis for improving the pertinence and intelligence of the disconnector opening and closing state diagnosis. Among them, the diagnostic expert model obtained using the status data and diagnostic data provides technical guarantee for improving intelligence, and the full-cycle life database obtained using the status data and diagnostic data provides data reference for improving pertinence, thereby realizing the optimization of the disconnector opening and closing state diagnosis.

[0093] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0094] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for diagnosing the opening and closing status of an isolating switch, characterized in that: The method includes: Acquire state data corresponding to the opening and closing of the isolating switch, acquire diagnostic data corresponding to the state data, train a preset diagnostic expert model using the state data and the diagnostic data, and run the diagnostic expert model to determine the opening and closing state of the isolating switch; The status data at least includes distance data, and the distance data is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal state, abnormal state and life assessment result; the life assessment result is used to characterize the equipment health of the opening and closing of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate the life assessment result; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate the corresponding safety measures and life assessment results.

2. The disconnector opening and closing state diagnosis method according to claim 1 is characterized in that: The process of generating the state data includes: The laser ranging technology is used to collect the distance between the opening and closing moving contact and the static contact in real time, and the time corresponding to the change of the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

3. The disconnector opening and closing state diagnosis method according to claim 1 is characterized in that: The process of generating the diagnostic data includes: The expert who obtains the history determines the distance threshold and the duration threshold used when the opening and closing states are determined based on the distance data, and obtains the threshold data; The expert who obtains the history determines the response method to be taken when the opening and closing state is a normal state or an abnormal state based on the threshold data, and defines the response method as the safety measure.

4. The disconnector opening and closing state diagnosis method according to claim 1 is characterized in that: The generation process of the life assessment result includes: Calling the full-cycle life database, the construction process of the full-cycle life database includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time with the highest probability in the probability distribution as the life period time feature, and the life period time feature is used to determine the life period of the isolating switch opening and closing by using the time; statistically analyzing the probability distribution of abnormal frequencies of the opening and closing of the isolating switch being determined as the abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; packaging the life period time feature and the life period abnormal frequency feature to obtain the full-cycle life database; The real-time duration and the real-time abnormal frequency are obtained and compared with the life period duration characteristics and the life period abnormal frequency characteristics to obtain the life assessment result.

5. The disconnector opening and closing state diagnosis method according to claim 1 is characterized in that: The operation process of the diagnostic expert model includes: Get real-time status data; Using the threshold data and the real-time status data to judge the opening and closing state, when the opening and closing state is the abnormal state, matching the corresponding safety measures; The life assessment result is generated using the full-cycle life database and the real-time status data.

6. A disconnector switch opening and closing state diagnosis device, applicable to the disconnector switch opening and closing state diagnosis method according to any one of claims 1 to 5, characterized in that: The device includes: A status data acquisition module, wherein the status data acquisition module is configured to acquire status data corresponding to the disconnector opening and closing; a diagnostic data acquisition module, the diagnostic data acquisition module being configured to acquire diagnostic data corresponding to the status data; A diagnostic expert model training module, wherein the diagnostic expert model training module is configured to train a preset diagnostic expert model using the state data and the diagnostic data; A diagnostic expert model running module, wherein the diagnostic expert model running module is configured to run the diagnostic expert model to determine the opening and closing states of the disconnector; The status data at least includes distance data, and the distance data is used to characterize the distance between the moving contact and the static contact of the opening and closing switch and the corresponding action time to reach the distance; the opening and closing status includes normal state, abnormal state and life assessment result; the life assessment result is used to characterize the equipment health of the opening and closing of the disconnector; the diagnostic data at least includes threshold data corresponding to the distance data for judging the opening and closing status and the corresponding safety measures and full-cycle life database; the full-cycle life database is used to generate the life assessment result; the threshold data includes distance threshold and duration threshold; the setting and training of the diagnostic expert model adopts expert model technology; the diagnostic expert model is used to judge the opening and closing status based on the diagnostic data and the acquired real-time status data, and generate the corresponding safety measures and life assessment results.

7. The disconnector opening and closing state diagnosis device according to claim 6 is characterized in that: The process of generating the state data includes: The laser ranging technology is used to collect the distance between the opening and closing moving contact and the static contact in real time, and the time corresponding to the change of the distance between the moving contact and the static contact is recorded in real time to obtain the action duration.

8. The disconnector opening and closing state diagnosis device according to claim 6, characterized in that: The process of generating the diagnostic data includes: The expert who obtains the history determines the distance threshold and the duration threshold used when the opening and closing states are determined based on the distance data, and obtains the threshold data; The expert who obtains the history determines the response method to be taken when the opening and closing state is a normal state or an abnormal state based on the threshold data, and defines the response method as the safety measure.

9. The disconnector opening and closing state diagnosis device according to claim 6, characterized in that: The generation process of the life assessment result includes: Calling the full-cycle life database, the construction process of the full-cycle life database includes: acquiring historical state data and historical diagnostic data based on time series; statistically analyzing the probability distribution of the time corresponding to the opening and closing of the isolating switch to reach the same distance in different life periods, defining the corresponding time with the highest probability in the probability distribution as the life period time feature, and the life period time feature is used to determine the life period of the isolating switch opening and closing by using the time; statistically analyzing the probability distribution of abnormal frequencies of the opening and closing of the isolating switch being determined as the abnormal state in different life periods, defining the corresponding abnormal frequency with the highest probability in the probability distribution as the life period abnormal frequency feature, and the life period abnormal frequency feature is used to determine the life period of the isolating switch opening and closing by using the abnormal frequency; packaging the life period time feature and the life period abnormal frequency feature to obtain the full-cycle life database; The real-time duration and the real-time abnormal frequency are obtained and compared with the life period duration characteristics and the life period abnormal frequency characteristics to obtain the life assessment result.

10. The disconnector opening and closing state diagnosis device according to claim 6, characterized in that: The operation process of the diagnostic expert model includes: Get real-time status data; Using the threshold data and the real-time status data to judge the opening and closing state, when the opening and closing state is the abnormal state, matching the corresponding safety measures; The life assessment result is generated using the full-cycle life database and the real-time status data.

Images