A power station medium voltage switch integrated intelligent test processing system

Abstract

The application discloses a power station medium-voltage switch integrated intelligent test processing system and relates to the medium-voltage switch detection field, which comprises the following modules: a project management module used for obtaining test project information; a project processing module used for extracting test elements and planning test paths of the test project information, obtaining corresponding test elements and planned maintenance paths; a project interaction module used for obtaining interaction correlation data between corresponding test elements of corresponding test project information in the planned maintenance path; a project alignment module used for obtaining time-space synchronous alignment of detection collection data and setting detection collection alignment axes; a dynamic adjustment module used for preliminarily analyzing and dynamically adjusting the detection collection data in the obtained detection collection alignment axes; and a pre-warning management module used for adaptively pre-warning, verifying and analyzing the obtained detection collection data according to the dynamic adjustment result and obtaining corresponding pre-warning detection information. The application improves the accuracy in the switch detection process.

Description

Technical Field

[0001] This invention relates to the field of medium-voltage switchgear testing technology, and in particular to an integrated intelligent testing and processing system for medium-voltage switchgear in power plants. Background Technology

[0002] Because nuclear power generation does not produce air pollutants such as sulfur dioxide, nitrogen oxides, and soot, and its carbon dioxide emissions are far lower than those of thermal power, it has gradually become one of the important energy sources used by people. The stable operation of medium-voltage switches in nuclear power plants ensures the safe operation of key equipment in nuclear power plants to a certain extent, thereby ensuring nuclear safety. However, the medium-voltage switchgear currently used in nuclear power plants mainly consists of medium-voltage circuit breakers and medium-voltage contactors. The testing method for medium-voltage circuit breakers and medium-voltage contactors still involves measuring the relevant characteristics of each one with instruments. After each test, the test results must be recorded manually, and the wiring must be reconnected before proceeding to the next test item. This manual testing method is not only labor-intensive, inefficient, and prone to incorrect wiring, but also carries certain dangers.

[0003] A search revealed Chinese invention patent CN112305274A, which discloses a switching circuit for secondary circuit testing interfaces in medium and low voltage switchgear. This circuit includes a secondary circuit aviation plug, a secondary circuit testing aviation socket, an energy storage and secondary circuit breaker opening / closing testing switching circuit, and a switch auxiliary contact testing switching circuit. The secondary circuit aviation plug connects to the secondary circuit of the medium or low voltage switchgear under test. The secondary circuit testing aviation socket is compatible with the aviation plug, and its leads connect to the energy storage and secondary circuit breaker opening / closing testing switching circuit and the switch auxiliary contact testing switching circuit. This invention enables the switching of circuit breaker opening / closing coils, energy storage motors, and auxiliary contacts for testing simply by connecting the energy storage and secondary circuit breaker opening / closing testing switching circuit and the switch auxiliary contact testing switching circuit. This eliminates the need for wire disconnection, improves testing efficiency, reduces the risk of misoperation, and is safe, reliable, and suitable for widespread application.

[0004] Compared with existing technologies, the invention patent with Chinese patent number CN112305274A can perform test switching through the energy storage and secondary opening and closing test switching circuit and the switch auxiliary contact test switching circuit, thereby improving test efficiency and reducing the risk of misoperation.

[0005] In practical use, the above method can achieve the testing and switching of the opening and closing coils, energy storage motors and auxiliary contacts through the energy storage and secondary opening and closing test switching circuits and the switch auxiliary contact test switching circuits without disconnecting the wiring. However, it cannot adjust the subsequent testing process in real time according to the test results and perform interactive verification based on the real-time adjustment results, which to some extent affects the accuracy of the test processing. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of insufficient accuracy in existing technologies by proposing an integrated intelligent testing and processing system for medium-voltage switchgear in power plants.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] An integrated intelligent test and processing system for medium-voltage switchgear in a power station includes an intelligent test management platform, which is equipped with a project management module, a project processing module, a project interaction module, a project alignment module, a dynamic adjustment module, and an early warning management module.

[0009] The project management module is used to acquire test project information during the daily maintenance and management of medium-voltage switches in power plants, and to mark the test project information.

[0010] The project processing module is used to extract test elements from the obtained test project information according to the corresponding project tags, obtain the test elements corresponding to each test project information, and plan the test path according to the test elements corresponding to the test project information to obtain the planned maintenance path.

[0011] The project interaction module is used to perform test interaction analysis on the test project information corresponding to the planned maintenance path based on the corresponding test elements, and to obtain the interaction association data between the corresponding test elements and the corresponding test project information within the planned maintenance path.

[0012] The project alignment module is used to sequentially acquire the detection and acquisition data of each test item within the planned maintenance path, align the acquired detection and acquisition data in time and space according to the corresponding test elements, and set the detection and acquisition alignment axis.

[0013] The dynamic adjustment module is used to perform preliminary analysis on the detection acquisition data within the alignment axis, and dynamically adjust the planned maintenance path based on the preliminary analysis results of the corresponding detection elements and the corresponding interactive correlation data.

[0014] The early warning management module is used to obtain the corresponding detection and collection data based on the dynamic adjustment results, perform adaptive early warning verification analysis on the obtained detection and collection data, and obtain the early warning detection information of the corresponding test element within the corresponding test item information.

[0015] The above technical solution further includes: the process by which the project management module obtains test project information includes:

[0016] The project management module includes a project entry unit and a project tagging unit;

[0017] The project entry unit is used to acquire test project information during the daily maintenance and management of medium-voltage switches in power plants. The test project information includes test parameter standard information, test electrical circuit information, test equipment component information, and historical test management information.

[0018] Project tagging information is used to obtain basic information about medium-voltage switchgear. The obtained test project information is tagged according to the location information within the basic information of the medium-voltage switchgear to which the test electrical circuit information belongs.

[0019] Furthermore, the process by which the project processing module obtains the test elements corresponding to each test project information includes:

[0020] The project processing module includes an element extraction unit and a path planning unit.

[0021] The element extraction unit is used to obtain the test item information marked by each item, preset test element extraction rules, which include the element extraction rules corresponding to mechanical test elements, electrical test elements and circuit test elements respectively. The obtained test item information is traversed and matched according to the test element extraction rules. The test elements corresponding to the corresponding test item information are obtained according to the traversal and matching extraction results, and the obtained test elements are marked.

[0022] The path planning unit is used to plan test paths based on the test elements corresponding to the test project information, and to obtain the planned maintenance path.

[0023] Furthermore, the process by which the path planning unit obtains the planned maintenance path includes:

[0024] Obtain the element markers of the test elements corresponding to each test item information. Based on the element markers of different test elements in the test item information, perform mapping markings in the basic information of medium-voltage switchgear. Based on the mapping marking results of the test item information to which different test elements belong in the basic information of medium-voltage switchgear, classify the paths and obtain the main maintenance circuit and branch maintenance circuit respectively.

[0025] The main trunk maintenance circuit is matched with the corresponding branch maintenance circuit to obtain the branch maintenance circuits involved in the main trunk maintenance circuit.

[0026] Based on the test item information corresponding to each branch maintenance circuit, the main maintenance circuit to which each test element belongs, as well as the quantity and distribution, are traversed and statistically analyzed. Based on the traversal and statistical results, path planning is performed on the branch maintenance circuits, and the corresponding main maintenance paths are obtained respectively. The test item information corresponding to each main maintenance path is sorted and connected to generate the planned maintenance path.

[0027] Furthermore, the process by which the project interaction module obtains the interactive association data between corresponding test elements within the planned maintenance path includes:

[0028] The project's interaction module includes an interaction management unit and an interaction association unit.

[0029] The interactive management unit is used to obtain the test elements involved in each test item information within the planned maintenance path, cross-merge the corresponding test elements according to the test item information and the location information within the planned maintenance path to which the test item information belongs, obtain the test dataset corresponding to each test element, and label each test dataset separately.

[0030] The interactive association unit is used to perform test interaction analysis in sequence according to the set label of each test dataset. The test interaction analysis process is to perform association analysis based on the test electrical circuit information and the change of test elements within different test project information of the test elements, and to obtain the test interaction association data corresponding to the corresponding test dataset.

[0031] Based on the test interaction association data corresponding to each test dataset, obtain the interaction association data between the corresponding test elements and the corresponding test items within the planned maintenance path.

[0032] Furthermore, the process of setting the detection and acquisition alignment axis in the project alignment module includes:

[0033] The project alignment module includes a detection acquisition unit and a detection alignment unit.

[0034] The detection and acquisition unit is used to acquire the planned maintenance path, and sequentially adjust the corresponding test adapter connectors according to the programmable logic controller to acquire the detection and acquisition data corresponding to each test item information within the planned maintenance path.

[0035] The detection alignment unit is used to map and match the detection acquisition data corresponding to each test item information according to the corresponding test elements. Based on the corresponding mapping and matching results, the corresponding item detection sequence is set at the test element according to the corresponding test item information. The obtained item detection sequence is subjected to temporal feature extraction. Based on the temporal feature extraction results, the corresponding item detection sequence is vertically spatiotemporally synchronized and aligned. Based on the vertical spatiotemporal synchronization alignment results of each item detection sequence, the detection acquisition alignment axis is set.

[0036] Furthermore, the process by which the dynamic adjustment module performs preliminary analysis on the acquired detection data within the alignment axis includes:

[0037] The dynamic adjustment module includes a preliminary analysis unit and a dynamic adjustment unit.

[0038] The preliminary analysis unit is used to set test standard information for the corresponding test elements within each test item information. Based on the set test standard information, it performs test evaluation on the corresponding test sequence of each test element within the test item information within the detection acquisition alignment axis, obtains element test evaluation data, and integrates the element test evaluation data corresponding to each test item information to generate preliminary test evaluation data.

[0039] The dynamic adjustment unit is used to obtain the location information of the test items corresponding to the preliminary test evaluation data within the planned maintenance path, obtain the element test evaluation data of each test element within the preliminary test evaluation data, sort the deviation of each element test evaluation data, perform adjustment evaluation based on the deviation sorting results of the test elements and the interactive correlation data, and obtain the corresponding adjusted test item information within the planned maintenance path.

[0040] Furthermore, the process by which the early warning management module obtains the early warning detection information of the corresponding test element within the corresponding test item information includes:

[0041] The early warning management module includes a data transmission unit and an early warning analysis unit.

[0042] The data transmission unit is used to acquire the detection acquisition data of the detection acquisition unit in the project alignment module according to the corresponding adjusted test project information in the planned maintenance path, as well as the detection acquisition alignment axis of the corresponding project detection sequence;

[0043] The early warning analysis unit is used to perform adaptive early warning verification analysis on the detection data collected within the corresponding project detection sequence within the detection acquisition alignment axis, based on the corresponding interactive correlation data. The adaptive early warning verification analysis process involves dynamically adjusting the test standard information based on the mutual interactive correlation data, setting interactive verification standard information, determining whether there is an anomaly when the corresponding detection element is in the corresponding test project information based on the interactive verification standard information, and generating early warning detection information.

[0044] The present invention has the following beneficial effects:

[0045] 1. In this invention, by extracting test elements from the obtained test item information and sequentially planning test paths based on the test elements involved in the test item information, a planned maintenance path can be obtained, which can improve the efficiency of the testing process of medium-voltage switchgear in power plants to a certain extent. In addition, by performing test interaction analysis based on the electrical distribution of each test element within different test item information, interactive correlation data between different test item information and different test elements within the same test item information can be obtained, providing a reference for the subsequent intelligent test processing process, thereby improving the accuracy of the testing process.

[0046] 2. In this invention, the detection and acquisition data corresponding to different test items within the planned maintenance path of the test element are synchronized and aligned. A detection and acquisition alignment axis is set. Based on the preliminary analysis results of the detection and acquisition data and the corresponding interactive correlation data set by the set detection and acquisition alignment axis, the planned maintenance path is dynamically adjusted. Based on the dynamic adjustment results, adaptive early warning verification analysis is performed on the detection and acquisition data. This can improve the accuracy of medium-voltage switchgear in the test process in power plants to a certain extent. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the structure of an integrated intelligent test and processing system for medium-voltage switchgear in a power station proposed in this invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1

[0050] like Figure 1 As shown, the present invention proposes an integrated intelligent test processing system for medium-voltage switchgear in power plants, which includes an intelligent test management platform. The intelligent test management platform is equipped with a project management module, a project processing module, a project interaction module, a project alignment module, a dynamic adjustment module, and an early warning management module.

[0051] The project management module is used to acquire test project information during the daily maintenance and management of medium-voltage switches in power plants, and to mark the test project information.

[0052] The project processing module is used to extract test elements from the obtained test project information according to the corresponding project tags, obtain the test elements corresponding to each test project information, and plan the test path according to the test elements corresponding to the test project information to obtain the planned maintenance path.

[0053] The project interaction module is used to perform test interaction analysis on the test project information corresponding to the planned maintenance path based on the corresponding test elements, and to obtain the interaction association data between the corresponding test elements and the corresponding test project information within the planned maintenance path.

[0054] The project alignment module is used to sequentially acquire the detection and acquisition data of each test item within the planned maintenance path, align the acquired detection and acquisition data in time and space according to the corresponding test elements, and set the detection and acquisition alignment axis.

[0055] The dynamic adjustment module is used to perform preliminary analysis on the detection acquisition data within the alignment axis, and dynamically adjust the planned maintenance path based on the preliminary analysis results of the corresponding detection elements and the corresponding interactive correlation data.

[0056] The early warning management module is used to obtain the corresponding detection and collection data based on the dynamic adjustment results, perform adaptive early warning verification analysis on the obtained detection and collection data, and obtain the early warning detection information of the corresponding test element within the corresponding test item information;

[0057] As shown above, the present invention uses an intelligent test management platform to uniformly manage all modules involved in the integrated intelligent test processing of medium-voltage switchgear in power plants. The corresponding test item information is sequentially input into each module for test management, thereby realizing the collaborative effect of multiple modules and improving the efficiency and accuracy of medium-voltage switchgear testing.

[0058] In the specific implementation process, the project management module acquires test project information during the daily maintenance management of the medium-voltage switchgear in the power station, and the process of marking the test project information includes:

[0059] The project management module includes a project entry unit and a project tagging unit;

[0060] The project entry unit is used to acquire test project information during the daily maintenance and management of medium-voltage switchgear in power plants. This test project information includes test parameter standard information, test electrical circuit information, test equipment component information, and historical test management information, among which:

[0061] The test parameter standard information is the test standard information corresponding to the test parameters within the corresponding test item information;

[0062] Historical test management information consists of historical test process data for the corresponding test project information.

[0063] Project tagging information is used to obtain basic information of medium-voltage switchgear. The obtained test project information is tagged according to the location information within the basic information of medium-voltage switchgear to which the test electrical circuit information belongs.

[0064] It should be further explained that, in the specific implementation process, the basic information of the medium-voltage switchgear includes equipment spatial structure information, equipment electrical circuit information, equipment electrical component information, and historical testing management information; the project marker is used to visualize different test project information according to the corresponding position of the equipment spatial structure information of the corresponding equipment electrical circuit information and equipment electrical component information within the medium-voltage switchgear, and to set the project marker sequence number according to the visualization display result.

[0065] In the specific implementation process, the project processing module extracts test elements from the obtained test project information according to the corresponding project tags, obtains the test elements corresponding to each test project information, and performs test path planning based on the test elements corresponding to the test project information. The process of obtaining the planned maintenance path includes:

[0066] The project processing module includes an element extraction unit and a path planning unit.

[0067] The element extraction unit is used to acquire test item information marked by each item, and preset test element extraction rules. These rules include element extraction rules corresponding to mechanical test elements, electrical test elements, and circuit test elements, wherein:

[0068] The element extraction rules corresponding to the mechanical test elements are the mechanical test characteristic rules involved in the operation of the medium-voltage switchgear during the corresponding electrical circuit information, such as opening and closing.

[0069] The element extraction rules corresponding to electrical test elements are the component test characteristic rules involved in the operation of medium-voltage switchgear during the corresponding electrical circuit information, such as different types of resistance test elements;

[0070] The element extraction rules corresponding to the line test elements are the line connection test feature rules of the electrical test elements involved in the operation of the corresponding electrical circuit information of the medium-voltage switchgear;

[0071] The obtained test item information is traversed and matched according to the test element extraction rules. The test elements corresponding to the corresponding test item information are obtained according to the traversal and matching extraction results. The obtained test elements are marked. The element marking process is based on the order of appearance of each test element involved in the test item information to mark the order type.

[0072] The path planning unit is used to plan test paths based on the test elements corresponding to the test item information, and to obtain the planned maintenance path. The process includes:

[0073] Obtain the element tags corresponding to the test elements of each test item information. Map the element tags of different test elements within the test item information to the basic information of the medium-voltage switchgear. Classify the paths based on the mapping results of the test item information to which different test elements belong within the basic information of the medium-voltage switchgear, and obtain the main maintenance circuit and branch maintenance circuits respectively. The specific process includes:

[0074] Based on the mapping and marking results of each test item information in the basic information of medium-voltage switchgear, the electrical path information corresponding to each test item information is extracted. Based on the basic information of medium-voltage switchgear, an electrical connection topology diagram of medium-voltage switchgear is constructed. The main circuit electrical path information is set in the electrical connection topology diagram. The main circuit electrical path information is the information of the busbar, circuit breaker, incoming and outgoing lines and core link connected in series.

[0075] Matching is performed based on the location information of different test elements within the electrical connection topology diagram of each test item information. Based on the matching results, each test item information is divided into main maintenance circuits and branch maintenance circuits.

[0076] The main maintenance circuit is matched with its corresponding branch maintenance circuit. The matching is performed based on the position information of each branch maintenance circuit in the electrical connection topology diagram to obtain the branch maintenance circuits involved in the main maintenance circuit.

[0077] Based on the test item information corresponding to each branch maintenance circuit, the main maintenance circuit to which each test element belongs and its quantity and distribution are traversed and counted. Based on the traversal and count results, the branch maintenance circuit is path planned, the corresponding main maintenance path is obtained, and the test item information corresponding to each main maintenance path is sorted and connected to generate the planned maintenance path.

[0078] It should be further explained that, in the specific implementation process, the test element types, total number, and preset importance weights of the test element types and total number involved in each branch maintenance circuit within each main maintenance circuit are obtained. The corresponding test element types and total number in each branch maintenance circuit within each main maintenance circuit are weighted according to their respective importance weights. Based on the weighted calculation results, the branch maintenance circuits within each main maintenance circuit are sorted in descending order of importance. Based on the sorting results, the detection changes between adjacent test item information are obtained. The order is adjusted according to the detection changes, the minimum detection change value is obtained, and a planned maintenance path is generated based on the sorting and connection of each test item information.

[0079] In the specific implementation process, the project interaction module performs test interaction analysis on the test project information corresponding to the planned maintenance path based on the corresponding test elements, and the process of obtaining the interaction association data between the corresponding test elements and the corresponding test project information within the planned maintenance path includes:

[0080] The project's interaction module includes an interaction management unit and an interaction association unit.

[0081] The interactive management unit is used to obtain the test elements involved in each test item information within the planned maintenance path, cross-merge the corresponding test elements according to the test item information and the location information within the planned maintenance path to which the test item information belongs, obtain the test dataset corresponding to each test element, and label each test dataset separately.

[0082] It should be further explained that, in the specific implementation process, the acquisition process of the detection dataset is as follows: First, cross-extraction is performed based on the historical detection management information corresponding to the test elements involved in each test item information within the planned maintenance path, to obtain the detection datasets corresponding to the historical detection management information between different test elements within the same test item information; Second, cross-extraction is performed based on the historical detection management information corresponding to the test item information to which each test element belongs within the planned maintenance path, to obtain the detection datasets corresponding to the historical detection management information between the same test element within different test item information.

[0083] The interactive association unit is used to perform test interaction analysis in sequence according to the set label of each test dataset. The test interaction analysis process is to perform association analysis based on the test electrical circuit information and the change of test elements within different test project information of the test elements, and to obtain the test interaction association data corresponding to the corresponding test dataset.

[0084] It should be further explained that, in the process of obtaining the test interaction correlation data corresponding to the test dataset, historical detection management information from different sources within the test dataset is analyzed and processed based on the electrical operating principles according to the test electrical circuit information to obtain the electrical correlation data between different test elements within the corresponding test dataset. The process includes:

[0085] The test electrical circuit information is acquired, and each test element within the test electrical circuit information is sequentially marked. An electrical operating principle is set, including series conduction, control drive, and electromagnetic coupling. Based on the electrical connection position information of each test element within the test electrical circuit information, the electrical operating principle is used for sequential analysis to acquire electrical correlation data between different test elements. For example, in the same series branch, the current is equal everywhere. When poor contact exists, the contact resistance of the main circuit contacts may continuously increase, leading to a synchronous increase in hot spot temperature, which in turn increases partial discharge and causes a decrease in interphase insulation resistance. During this process, different electrical correlation data are acquired. The association type data between the same test elements, wherein the association type data is the association relationship between different test elements according to the corresponding electrical operating principle, the test period is set, the test data of the corresponding test electrical circuit information of different test elements corresponding to the association type data within the test period is obtained, the obtained test data is used to obtain the corresponding change curves according to the corresponding test period, the change synchronization rate between the change curves of different test elements within the test period is obtained, and the association strength data is obtained based on the change synchronization rate. The corresponding association type data and association strength data are marked as electrical association data between corresponding test elements within the test electrical circuit information.

[0086] The historical detection management information from the corresponding source within the test dataset is quantitatively statistically analyzed based on the corresponding electrical correlation data to obtain test interaction correlation data between the historical detection management information of the corresponding type based on the changes in electrical correlation data. The test interaction correlation data is the frequency data of the corresponding electrical correlation data between the historical detection management information of the corresponding type within the corresponding test dataset. In this process, correlation analysis is performed on the test interaction correlation data obtained from each test dataset, and a correlation threshold is set. If the test interaction correlation data is greater than or equal to the correlation threshold, the corresponding test dataset is marked as having a correlation; otherwise, there is no correlation.

[0087] Based on the test interaction association data corresponding to each test dataset, obtain the interaction association data between corresponding test elements and corresponding test items within the planned maintenance path;

[0088] It should be further noted that, in the specific implementation process, the interactive association data only includes the test interactive association data corresponding to each test dataset that is associated.

[0089] In the specific implementation process, the project alignment module sequentially acquires the detection and collection data of each test item within the planned maintenance path, and performs spatiotemporal synchronization alignment of the acquired detection and collection data according to the corresponding test elements. The process of setting the detection and collection alignment axis includes:

[0090] The project alignment module includes a detection acquisition unit and a detection alignment unit.

[0091] The detection and acquisition unit is used to acquire the planned maintenance path, and sequentially adjust the corresponding test adapter connectors according to the programmable logic controller to acquire the detection and acquisition data corresponding to each test item information within the planned maintenance path.

[0092] It should be further explained that, in the specific implementation process, the intelligent test management platform is equipped with an integrated intelligent test cabinet, a computer, and an interface control terminal. The interface control terminal includes, but is not limited to, a programmable logic controller (PLC) interface circuit, a test adapter connector for a switch mechanical characteristic tester and an insulation resistance tester. The detection and acquisition unit is connected to the computer. Through the computer control, each interface control terminal in the integrated intelligent test cabinet sequentially sets the corresponding test adapter connector according to the test item information in the planned maintenance path, and obtains the detection and acquisition data corresponding to the test item information.

[0093] The detection alignment unit is used to map and match the detection acquisition data corresponding to each test item information according to the corresponding test elements. Based on the corresponding mapping and matching results, the corresponding item detection sequence is set at the test element according to the corresponding test item information. The obtained item detection sequence is subjected to temporal feature extraction. Based on the temporal feature extraction results, the corresponding item detection sequence is vertically spatiotemporally synchronized and aligned. Based on the vertical spatiotemporal synchronization alignment results of each item detection sequence, the detection acquisition alignment axis is set.

[0094] It should be further explained that, in the specific implementation process, during the setting of the detection acquisition alignment axis, the temporal features of the detection acquisition data corresponding to different test items within the test element are extracted to obtain the time or spatial information corresponding to the detection features in the process of changing the same working principle, and the position information within the detection sequence of the item is obtained. The corresponding position information within each item monitoring sequence is vertically spatiotemporally synchronized to set the corresponding detection acquisition alignment axis.

[0095] In the specific implementation process, the dynamic adjustment module performs preliminary analysis on the detection and acquisition data within the alignment axis, and dynamically adjusts the planned maintenance path based on the preliminary analysis results of the corresponding detection elements and the corresponding interactive correlation data.

[0096] The dynamic adjustment module includes a preliminary analysis unit and a dynamic adjustment unit.

[0097] The preliminary analysis unit is used to set test standard information for the corresponding test elements in each test item information. The test standard information is set according to the corresponding test parameter standard information and historical test management information in the corresponding test item information.

[0098] Based on the set test standard information, the test sequence of each test element within the corresponding test item information within the detection acquisition alignment axis is tested and evaluated to obtain element test evaluation data. The element test evaluation data is the deviation data between the corresponding test standard information and the test acquisition information within the corresponding test item test sequence. The element test evaluation data corresponding to each element of the test item information is integrated to generate preliminary test evaluation data.

[0099] The dynamic adjustment unit is used to acquire the location information of the test items corresponding to the preliminary test evaluation data within the planned maintenance path, acquire the element test evaluation data of each test element within the preliminary test evaluation data, sort the element test evaluation data by deviation (from largest to smallest), adjust and evaluate the relevant test item information within the planned maintenance path based on the deviation sorting results and interactive correlation data, set a dynamic adjustment range within the planned maintenance path, acquire the interactive correlation data between the test elements involved in each test item information within the dynamic adjustment range of the planned maintenance path and the test elements corresponding to the deviation sorting results, and preset corresponding correlation weights according to the deviation sorting results. The correlation weights are determined according to the deviation order from largest to smallest. If corresponding association weights are set sequentially from largest to smallest, and each association weight corresponds to the corresponding deviation ranking result, the obtained interactive association data is weighted according to the association weights to obtain interactive adjustment information. The interactive adjustment information is used to describe the adjustment evaluation data corresponding to the interactive association data and deviation ranking results among the various related test elements involved in other test item information within the dynamic adjustment range. The larger the interactive adjustment information, the greater the correlation between the corresponding test item information and the test item information corresponding to the preliminary test evaluation data. The interactive adjustment information obtained from each test item information is sorted from largest to smallest, and the optimal test item information is obtained according to the sorting result, thereby obtaining the corresponding adjusted test item information within the planned maintenance path.

[0100] In the specific implementation process, the early warning management module obtains the corresponding detection and collection data based on the dynamic adjustment results, performs adaptive early warning verification analysis on the obtained detection and collection data, and obtains the early warning detection information of the corresponding test element within the corresponding test item information. The process includes:

[0101] The early warning management module includes a data transmission unit and an early warning analysis unit.

[0102] The data transmission unit is used to acquire the detection acquisition data of the detection acquisition unit in the project alignment module according to the corresponding adjusted test project information in the planned maintenance path, as well as the detection acquisition alignment axis of the corresponding project detection sequence;

[0103] The early warning analysis unit is used to perform adaptive early warning verification analysis on the detection data collected within the corresponding item detection sequence within the detection acquisition alignment axis, based on the corresponding interactive correlation data. The adaptive early warning verification analysis process involves dynamically adjusting the test standard information based on the mutual interactive correlation data, setting interactive verification standard information, determining whether there is an anomaly when the corresponding detection element is in the corresponding test item information based on the interactive verification standard information, setting an interactive verification deviation threshold, and generating early warning detection information if the interactive verification standard information is greater than or equal to the interactive verification deviation threshold.

[0104] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An integrated intelligent test and processing system for medium-voltage switchgear in power plants, comprising an intelligent test management platform, characterized in that, The intelligent test management platform includes a project management module, a project processing module, a project interaction module, a project alignment module, a dynamic adjustment module, and an early warning management module. The project management module is used to acquire test project information during the daily maintenance and management of medium-voltage switches in power plants, and to mark the test project information. The project processing module is used to extract test elements from the obtained test project information according to the corresponding project tags, obtain the test elements corresponding to each test project information, and plan the test path according to the test elements corresponding to the test project information to obtain the planned maintenance path. The project interaction module is used to perform test interaction analysis on the test project information corresponding to the planned maintenance path based on the corresponding test elements, and to obtain the interaction association data between the corresponding test elements and the corresponding test project information within the planned maintenance path. The project alignment module is used to sequentially acquire the detection and acquisition data of each test item within the planned maintenance path, align the acquired detection and acquisition data in time and space according to the corresponding test elements, and set the detection and acquisition alignment axis. The dynamic adjustment module is used to perform preliminary analysis on the detection acquisition data within the alignment axis, and dynamically adjust the planned maintenance path based on the preliminary analysis results of the corresponding detection elements and the corresponding interactive correlation data. The early warning management module is used to obtain the corresponding detection and collection data based on the dynamic adjustment results, perform adaptive early warning verification analysis on the obtained detection and collection data, and obtain the early warning detection information of the corresponding test element within the corresponding test item information.

2. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 1, characterized in that, The process by which the project management module obtains test project information includes: The project management module includes a project entry unit and a project tagging unit; The project entry unit is used to acquire test project information during the daily maintenance and management of medium-voltage switches in power plants. The test project information includes test parameter standard information, test electrical circuit information, test equipment component information, and historical test management information. Project tagging information is used to obtain basic information about medium-voltage switchgear. The obtained test project information is tagged according to the location information within the basic information of the medium-voltage switchgear to which the test electrical circuit information belongs.

3. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 2, characterized in that, The process by which the project processing module obtains the test elements corresponding to each test project information includes: The project processing module includes an element extraction unit and a path planning unit. The element extraction unit is used to obtain the test item information marked by each item, preset test element extraction rules, which include the element extraction rules corresponding to mechanical test elements, electrical test elements and circuit test elements respectively. The obtained test item information is traversed and matched according to the test element extraction rules. The test elements corresponding to the corresponding test item information are obtained according to the traversal and matching extraction results, and the obtained test elements are marked. The path planning unit is used to plan test paths based on the test elements corresponding to the test project information, and to obtain the planned maintenance path.

4. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 3, characterized in that, The process by which the path planning unit obtains the planned maintenance path includes: Obtain the element markers of the test elements corresponding to each test item information. Based on the element markers of different test elements in the test item information, perform mapping markings in the basic information of medium-voltage switchgear. Based on the mapping marking results of the test item information to which different test elements belong in the basic information of medium-voltage switchgear, classify the paths and obtain the main maintenance circuit and branch maintenance circuit respectively. The main trunk maintenance circuit is matched with the corresponding branch maintenance circuit to obtain the branch maintenance circuits involved in the main trunk maintenance circuit. Based on the test item information corresponding to each branch maintenance circuit, the main maintenance circuit to which each test element belongs, as well as the quantity and distribution, are traversed and statistically analyzed. Based on the traversal and statistical results, path planning is performed on the branch maintenance circuits, and the corresponding main maintenance paths are obtained respectively. The test item information corresponding to each main maintenance path is sorted and connected to generate the planned maintenance path.

5. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 4, characterized in that, The process by which the project interaction module obtains the interactive association data between corresponding test elements and corresponding test project information within the planned maintenance path includes: The project's interaction module includes an interaction management unit and an interaction association unit. The interactive management unit is used to obtain the test elements involved in each test item information within the planned maintenance path, cross-merge the corresponding test elements according to the test item information and the location information within the planned maintenance path to which the test item information belongs, obtain the test dataset corresponding to each test element, and label each test dataset separately. The interactive association unit is used to perform test interaction analysis in sequence according to the set label of each test dataset. The test interaction analysis process is to perform association analysis based on the test electrical circuit information and the change of test elements within different test project information of the test elements, and to obtain the test interaction association data corresponding to the corresponding test dataset. Based on the test interaction association data corresponding to each test dataset, obtain the interaction association data between the corresponding test elements and the corresponding test items within the planned maintenance path.

6. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 5, characterized in that, The process of setting the detection and acquisition alignment axis in the project alignment module includes: The project alignment module includes a detection acquisition unit and a detection alignment unit. The detection and acquisition unit is used to acquire the planned maintenance path, and sequentially adjust the corresponding test adapter connectors according to the programmable logic controller to acquire the detection and acquisition data corresponding to each test item information within the planned maintenance path. The detection alignment unit is used to map and match the detection acquisition data corresponding to each test item information according to the corresponding test elements. Based on the corresponding mapping and matching results, the corresponding item detection sequence is set at the test element according to the corresponding test item information. The obtained item detection sequence is subjected to temporal feature extraction. Based on the temporal feature extraction results, the corresponding item detection sequence is vertically spatiotemporally synchronized and aligned. The detection acquisition alignment axis is set according to the vertical spatiotemporal synchronization alignment results of each item detection sequence.

7. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 6, characterized in that, The process by which the dynamic adjustment module performs preliminary analysis on the detection and acquisition data within the alignment axis includes: The dynamic adjustment module includes a preliminary analysis unit and a dynamic adjustment unit. The preliminary analysis unit is used to set test standard information for the corresponding test elements within each test item information. Based on the set test standard information, it performs test evaluation on the corresponding test sequence of each test element within the test item information within the detection acquisition alignment axis, obtains element test evaluation data, and integrates the element test evaluation data corresponding to each test item information to generate preliminary test evaluation data. The dynamic adjustment unit is used to obtain the location information of the test items corresponding to the preliminary test evaluation data within the planned maintenance path, obtain the element test evaluation data of each test element within the preliminary test evaluation data, sort the deviation of each element test evaluation data, perform adjustment evaluation based on the deviation sorting results of the test elements and the interactive correlation data, and obtain the corresponding adjusted test item information within the planned maintenance path.

8. The integrated intelligent testing and processing system for medium-voltage switchgear in a power station according to claim 7, characterized in that, The process by which the early warning management module obtains the early warning detection information of the corresponding test element within the corresponding test item information includes: The early warning management module includes a data transmission unit and an early warning analysis unit. The data transmission unit is used to acquire the detection acquisition data of the detection acquisition unit in the project alignment module according to the corresponding adjusted test project information in the planned maintenance path, as well as the detection acquisition alignment axis of the corresponding project detection sequence; The early warning analysis unit is used to perform adaptive early warning verification analysis on the detection data collected within the corresponding project detection sequence within the detection acquisition alignment axis, based on the corresponding interactive correlation data. The adaptive early warning verification analysis process involves dynamically adjusting the test standard information based on the mutual interactive correlation data, setting interactive verification standard information, determining whether there is an anomaly when the corresponding detection element is in the corresponding test project information based on the interactive verification standard information, and generating early warning detection information.

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