Diagnostic method and device of flexible direct current converter valve submodule

Abstract

The invention provides a diagnosis method and device for a flexible direct current converter valve submodule, and relates to the technical field of fault diagnosis. The method comprises the following steps: acquiring abnormal state quantity data corresponding to each group of components in a flexible DC converter valve sub-module; diagnosing the abnormal state quantity data based on a pre-established expert diagnosis system to obtain group component diagnosis results respectively corresponding to each group of components; and determining the diagnosis result of the flexible direct current converter valve sub-module according to the diagnosis result of each group of components. The device executes the method. According to the method and the device provided by the embodiment of the invention, the accuracy of the diagnosis result of the flexible direct current converter valve sub-module can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fault diagnosis, and in particular to a diagnosis method and device for a flexible direct current converter valve submodule. Background Art

[0002] Flexible direct current transmission is a new generation of direct current transmission technology based on voltage source converter (VSC) composed of insulated gate bipolar transistor (IGBT) which can be turned off. It can realize the simultaneous control of active and reactive power. Modular Multilevel Converter based VSC-HVDC (MMC-HVDC) has advantages in large-scale renewable energy power generation, improving grid stability, and long-distance high-voltage and large-capacity power transmission due to its small harmonic output, high controllability, and low system loss. It has been widely used in engineering.

[0003] As the core equipment of the flexible direct current converter station, the operating stability of the MMC flexible direct current converter valve directly affects the stable operation of the entire flexible direct current transmission. The MMC flexible direct current converter valve is mainly composed of multiple components such as IGBT devices, capacitors, valve cooling systems, and control and protection systems. In practical applications, various factors such as different topological structures of MMC and complex operating conditions have different degrees of influence on the reliability of internal IGBT devices and converter valve components, ultimately shortening the service life of the MMC flexible direct current converter valve. Therefore, through the analysis of multi-source data such as online monitoring, operation and maintenance, potential problems of components such as IGBT can be discovered in advance, and the reliability of IGBT devices and even MMC converter valves can be further improved, which has important practical significance for the operation and maintenance of converter valve equipment and improving the reliability of the entire flexible direct current transmission system.

[0004] The existing technology mainly relies on the alarm information and online monitoring data of the flexible direct current converter valve submodule, and mostly adopts a threshold alarm method, that is, once the data exceeds the upper or lower limit, an alarm is issued. Since there are many components that affect the submodule diagnostic results of the flexible direct current converter valve submodule, and there are many reasons for the abnormalities in the components, for example, a certain data abnormality will not necessarily lead to a serious abnormality in the submodule diagnostic result. If there are many data abnormalities, only part of the data actually causes the serious abnormality in the submodule diagnostic result. Therefore, the above-mentioned existing technology has the disadvantage that the submodule diagnostic result is not accurate enough. Summary of the invention

[0005] In view of the problems in the prior art, an embodiment of the present invention provides a diagnosis method and device for a flexible direct current converter valve submodule, which can at least partially solve the problems in the prior art.

[0006] On the one hand, the present invention provides a diagnosis method for a flexible direct current converter valve submodule, comprising:

[0007] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0008] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0009] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0010] Wherein, determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0011] If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state;

[0012] If the number of component diagnosis results that are determined to be in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

[0013] Wherein, determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0014] If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state.

[0015] Wherein, after the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis method of the flexible direct current converter valve submodule further includes:

[0016] If it is determined that the diagnosis result is the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component causing the attention state or the serious state to occur.

[0017] Wherein, the expert diagnosis system is pre-established, including:

[0018] Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name;

[0019] Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors;

[0020] The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

[0021] Wherein, obtaining the sample data of the flexible direct current converter valve submodule includes:

[0022] The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

[0023] Wherein, obtaining the original data in the historical fault case library includes:

[0024] Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule;

[0025] Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components;

[0026] Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

[0027] On the one hand, the present invention provides a diagnostic device for a flexible direct current converter valve submodule, comprising:

[0028] An acquisition unit, used to acquire abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0029] A diagnosis unit, used to diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0030] A determination unit is used to determine the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components.

[0031] The determining unit is specifically used for:

[0032] If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state;

[0033] If the number of component diagnosis results that are determined to be in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

[0034] The determining unit is specifically used for:

[0035] If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state.

[0036] Wherein, after the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis device of the flexible direct current converter valve submodule is further used for:

[0037] If it is determined that the diagnosis result is the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component causing the attention state or the serious state to occur.

[0038] Wherein, the diagnostic device of the flexible direct current converter valve submodule is also used for:

[0039] Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name;

[0040] Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors;

[0041] The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

[0042] The diagnostic device of the flexible direct current converter valve submodule is also specifically used for:

[0043] The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

[0044] The diagnostic device of the flexible direct current converter valve submodule is also specifically used for:

[0045] Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule;

[0046] Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components;

[0047] Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

[0048] In another aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, and a bus, wherein:

[0049] The processor and the memory communicate with each other via the bus;

[0050] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the following method:

[0051] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0052] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0053] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0054] An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:

[0055] The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the following method:

[0056] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0057] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0058] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0059] The diagnosis method and device of the flexible direct current converter valve submodule provided in the embodiment of the present invention obtain abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule; diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain the group component diagnosis results corresponding to each group of components; determine the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis result of each group of components, which can improve the accuracy of the diagnosis result of the flexible direct current converter valve submodule. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0061] Figure 1 It is a flow chart of a diagnostic method for a flexible direct current converter valve submodule provided in one embodiment of the present invention.

[0062] Figure 2 It is a structural schematic diagram of a diagnostic device for a flexible direct current converter valve submodule provided in one embodiment of the present invention.

[0063] Figure 3 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.

[0065] Explanation of related terms:

[0066] Flexible DC converter valve: The flexible DC converter valve is the core equipment of the flexible DC transmission system. It adopts a modular multi-level VSC structure with half-bridge submodules and uses an air-insulated, water-cooled indoor self-supporting converter valve tower, which consists of submodules, valve sections, valve towers and valve control systems. The submodule uses IGBT as the commutation element, which consists of IGBT, capacitors, bypass switches and thyristors.

[0067] Diagnostic results: The diagnostic results of the flexible DC converter valve submodule and each group of components can be divided into three states: normal, warning and serious. The diagnostic results of the DC converter valve submodule and each group of components are represented by green, yellow and red colors respectively.

[0068] Diagnostic method: This refers to the use of horizontal and vertical comparative statistical analysis or machine learning methods for structured numerical data to identify and diagnose abnormal equipment data. For unstructured data, image recognition and other technologies are used to diagnose equipment anomalies. The diagnostic results of structured and unstructured data are integrated, and an expert system that builds the fault diagnosis logic of the equipment itself is used to make a comprehensive judgment on the equipment, and finally the health status of the equipment and the cause of the abnormality are given.

[0069] Expert diagnosis system: A computer intelligent program system with specialized knowledge and experience. The database used in the background is equivalent to the human brain and has a rich knowledge reserve. It uses the knowledge data and knowledge reasoning technology in the database to simulate experts to solve complex problems.

[0070] Figure 1 FIG. 1 is a flow chart of a method for diagnosing a flexible direct current converter valve submodule according to an embodiment of the present invention. Figure 1 As shown, the diagnosis method of the flexible direct current converter valve submodule provided in the embodiment of the present invention includes:

[0071] Step S1: Acquire the abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule.

[0072] Step S2: diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group.

[0073] Step S3: Determine the diagnosis result of the flexible DC converter valve submodule according to the diagnosis results of each group of components.

[0074] In the above step S1, the device obtains abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule. The device can be a computer device that executes the method. Each group of components in the submodule includes IGBT, capacitor, bypass switch, temperature sensor, internal cooling water pipe and other components.

[0075] The abnormal state quantity data corresponding to the IGBT may include: submodule capacitor voltage, bridge arm current, heat sink temperature, IGBT switching frequency and IGBT junction temperature.

[0076] The abnormal state quantity data corresponding to the capacitor may include: capacitor capacitance, capacitor temperature, radiator temperature and infrared temperature measurement data.

[0077] The abnormal state quantity data corresponding to the bypass switch may include: submodule capacitor voltage, bypass switch state return time and drone inspection data.

[0078] The abnormal state quantity data corresponding to the temperature sensor may include: radiator temperature and infrared temperature measurement data.

[0079] The abnormal state quantity data corresponding to the internal cooling water pipe may include: water leakage detection data and video monitoring valve tower bottom layer test paper color change data.

[0080] In the above step S2, the device diagnoses the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group.

[0081] In the above step S3, the device determines the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components.

[0082] Determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0083] If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state;

[0084] If the number of component diagnosis results that are in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state. The preset number can be set independently according to actual conditions and can be selected as 1.

[0085] Determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0086] If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state. Referring to the above example, if there is only one component diagnosis result that is the attention state, then the diagnosis result is the attention state; if there are at least two component diagnosis results that are the attention state, then the diagnosis result is the serious state.

[0087] If the diagnosis result of at least one component is in a critical state, the diagnosis result is in a critical state.

[0088] After the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis method of the flexible direct current converter valve submodule further includes:

[0089] If the diagnosis result is determined to be the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component that causes the attention state or the serious state. The treatment strategy corresponding to each component can be established in the expert diagnosis system, that is, an association relationship between the root node of the abnormal cause tree in the expert diagnosis system and the treatment strategy is established.

[0090] The expert diagnosis system is pre-established, including:

[0091] Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name;

[0092] Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors;

[0093] The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

[0094] Acquiring sample data of the flexible direct current converter valve submodule includes:

[0095] The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

[0096] The original data in the historical fault case library is obtained, including:

[0097] Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule;

[0098] Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components;

[0099] Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

[0100] The whole process of establishing the expert diagnosis system is described as follows:

[0101] The multi-source data corresponding to each group of components in the flexible direct current converter valve submodule is obtained, that is, the multi-source data can be obtained from the following sources:

[0102] Online monitoring data, infrared data, power outage maintenance detection data and inspection data. Then classify the multi-source data according to each group of components, and select and retain the state quantity data related to the diagnosis of the flexible direct current converter valve submodule, as follows:

[0103] 1) IGBT:

[0104] ① Online monitoring data: submodule capacitor voltage, bridge arm current, radiator temperature, IGBT switching frequency, and IGBT junction temperature.

[0105] 2) Capacitor:

[0106] ①Online monitoring data: capacitor capacitance, capacitor temperature, radiator temperature.

[0107] ②Inspection data: infrared temperature measurement data.

[0108] 3) Bypass switch:

[0109] ①Online monitoring data: submodule capacitor voltage.

[0110] ②Power outage maintenance detection data: bypass switch status return time.

[0111] ③Inspection data: drone inspection data.

[0112] 4) Temperature sensor:

[0113] ①Online monitoring data: radiator temperature.

[0114] ②Inspection data: infrared temperature measurement data.

[0115] 5) Internal cooling water pipe:

[0116] ①Online monitoring data: water leakage detection data.

[0117] ② Inspection data: video monitoring of the color change data of the test paper on the bottom layer of the valve tower.

[0118] Taking several items of the above data as examples, the data comparison and analysis are explained as follows:

[0119] ① IGBT junction temperature: Through horizontal and vertical comparisons, combined with the IGBT life prediction model, find IGBTs with abnormal junction temperature; calculate the IGBT junction temperature through the temperature field model taking into account the transmission power, and find abnormal IGBTs through horizontal and vertical comparisons.

[0120] ② IGBT switching frequency: Through horizontal and vertical comparison, find IGBTs with abnormal switching frequency; or IGBT switching frequency data with IGBT switching frequency greater than a certain value.

[0121] ③Capacitor capacitance: Use data analysis methods such as machine learning to find capacitors with abnormal capacitor voltage fluctuations and capacitance attenuation.

[0122] ④Capacitor temperature: Calculate the capacitor temperature through the sub-module temperature field model, and then find the abnormal temperature capacitor through horizontal and vertical comparison; and identify the abnormal capacitor by combining the infrared image construction results.

[0123] ⑤ Bypass switch: By recording the bypass switch state return time in the sub-module function test, and then comparing and analyzing the trend of historical data, find the bypass switch with abnormal closing state.

[0124] ⑥ Temperature sensor: Compare the radiator temperature calculated by the sub-module temperature field model, and then combine the horizontal and vertical comparisons to find the sub-module radiator with abnormal temperature; then combine the temperature monitoring results of the sub-module radiator to find the abnormal temperature sensor.

[0125] ⑦ Internal cooling water pipe: By analyzing the results of the water leakage detection device at the bottom of the valve tower and combining it with the information of the color change of the test paper at the bottom of the valve tower detected by video, the leaking internal cooling water pipe can be found.

[0126] The abnormal state quantity data obtained above is used as the original data in the historical fault case library.

[0127] Run the original data, record the operation result information therein, and obtain the sample data of the flexible direct current converter valve sub-module according to the recorded information. The sample data of the flexible direct current converter valve sub-module includes the abnormality degree of the faulty component (caution state or serious state), the abnormal cause (such as IGBT junction temperature or IGBT switching frequency), and the numerical range corresponding to the abnormal state quantity data corresponding to the abnormal cause that can cause different abnormal degrees of the corresponding component.

[0128] For example, the normal value range of the IGBT junction temperature is 25℃~90℃, and it will not be lower than 25℃ under normal circumstances. When the IGBT junction temperature is between 90℃ and 95℃, the IGBT junction temperature can be considered to be in a warning state; when the IGBT junction temperature is above 95℃, the IGBT junction temperature can be considered to be in a serious state.

[0129] The abnormal state quantity data is not limited to one item of data. For example, the cause of the IGBT junction temperature may be that the abnormal state quantity data B and the abnormal state quantity data C are not within their respective corresponding numerical ranges. The above-mentioned abnormal state quantity data A, abnormal state quantity data B and abnormal state quantity data C may be three items of the above-mentioned abnormal state quantity data.

[0130] The expert diagnosis system is obtained by training the decision tree based on the sample data of the flexible direct current converter valve submodule, as described below:

[0131] Taking the group component as IGBT and the abnormal cause as IGBT junction temperature and IGBT switching frequency as an example, the abnormal cause tree corresponding to each group component is constructed as follows:

[0132] The root node of the abnormal cause tree corresponding to IGBT is IGBT, and the leaf nodes are IGBT junction temperature and IGBT switching frequency, which are respectively connected to the root node. The abnormal cause tree can be a two-layer structure, that is, one layer is the root node, and the other layer is all the leaf nodes. Each leaf node is connected to the root node through a corresponding edge.

[0133] Taking the component as IGBT and the abnormal cause as IGBT junction temperature as an example, the logic judgment tree corresponding to each abnormal cause is constructed as follows:

[0134] The root node of the logic judgment tree corresponding to the IGBT junction temperature is the IGBT junction temperature. The logic judgment tree can be at least a two-layer structure. For a two-layer structure, it means that there is only one layer of influencing factors that directly affect the IGBT junction temperature. Each influencing factor can correspond to the above-mentioned abnormal state quantity data. The second layer of influencing factors can be connected to the root node through a corresponding edge.

[0135] For the three-layer structure, it means that in addition to a layer of influencing factors that have a direct impact on the IGBT junction temperature, there is another layer of influencing factors that have an indirect impact on the IGBT junction temperature. The third layer of influencing factors can be connected to one or more influencing factors in the second layer of influencing factors through their respective corresponding edges.

[0136] Taking IGBT junction temperature as an example, there are two influencing factors that can have a direct impact on it, denoted as p21 and p22. p21 is an influencing factor located in the second layer, and p22 is another influencing factor located in the second layer. The influencing factors p31 and p33 under p22 have an indirect impact on the IGBT junction temperature.

[0137] p21 and the root node IGBT junction temperature form an association analysis logic relationship L1, p22-p31 and the root node IGBT junction temperature form an association analysis logic relationship L2, and p22-p33 and the root node IGBT junction temperature form an association analysis logic relationship L3.

[0138] Taking the abnormal cause of IGBT junction temperature as an example, the similarity between the sample data of the flexible direct current valve submodule and the data causing the IGBT junction temperature is calculated, and the data are sorted in order from high to low according to the similarity, and the top m data are selected as the target sample data of the flexible direct current valve submodule. Referring to the above example, p21, p22 and p33 are the target sample data of the flexible direct current valve submodule (p31 is discarded due to its low ranking). The numerical ranges corresponding to p21, p22 and p33 are determined according to whether the IGBT junction temperature is in a warning state or a serious state. Specifically, the historical fault case library of the flexible direct current valve submodule can be used to determine the numerical ranges corresponding to p21, p22 and p33 respectively according to the historical numerical ranges corresponding to p21, the historical numerical ranges corresponding to p22, and the historical numerical ranges corresponding to p33 when the IGBT junction temperature has been determined to be in a warning state or a serious state.

[0139] Referring to the above example, the abnormal state quantity data corresponding to each group of components are diagnosed based on the pre-established expert diagnosis system to obtain the group component diagnosis results corresponding to each group of components, as described below:

[0140] Compare the abnormal state quantity data corresponding to p21 with the numerical range corresponding to p21, compare the abnormal state quantity data corresponding to p22 with the numerical range corresponding to p22, and compare the abnormal state quantity data corresponding to p33 with the numerical range corresponding to p33. If the three comparison results are all within the numerical range, it means that there is no IGBT abnormality caused by the IGBT junction temperature. Similarly, if there is no IGBT abnormality caused by the IGBT switching frequency, it can be said that the IGBT group component diagnosis result is normal.

[0141] If at least one item of data is not within the numerical range, it means that the diagnostic result of the IGBT group component is abnormal, which may specifically include a warning state or a serious state. The diagnostic result of the IGBT group component can be further determined as a warning state or a serious state based on the number of data items that are not within the numerical range and / or the degree of deviation of the data that are not within the numerical range.

[0142] Since the expert diagnosis system includes five abnormal cause trees corresponding to IGBT, capacitor, bypass switch, temperature sensor and internal cooling water pipe respectively, the hierarchical relationship of these five abnormal cause trees can be constructed according to the hierarchical relationship of IGBT, capacitor, bypass switch, temperature sensor and internal cooling water pipe in the flexible DC converter valve sub-module.

[0143] In view of the characteristics of the flexible DC modular multi-level converter valve, the present invention establishes a health status diagnosis method suitable for the sub-module assembly level of the converter valve, and obtains the health status of the sub-module and the maintenance strategy of the output sub-module. When an abnormality occurs in the sub-module, the operation and maintenance personnel, with the assistance of this system, use empirical diagnosis and principle diagnosis to detect and collect abnormal data, perform online abnormal data diagnosis, and quickly locate the cause and position of the abnormality, thereby achieving faster, more accurate and real-time equipment status monitoring and abnormality detection, which is conducive to improving the safety and stability of the operation of the flexible DC converter valve.

[0144] The diagnostic method for the flexible direct current converter valve submodule provided in the embodiment of the present invention obtains abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule; diagnoses the abnormal state quantity data based on a pre-established expert diagnostic system to obtain group component diagnostic results corresponding to each group of components; determines the diagnostic result of the flexible direct current converter valve submodule according to the diagnostic results of each group of components, which can improve the accuracy of the diagnostic result of the flexible direct current converter valve submodule.

[0145] Further, the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0146] If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, the diagnosis result is determined to be in the attention state; the description may refer to the above embodiment and will not be repeated.

[0147] If the number of component diagnosis results that are in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

[0148] Further, the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes:

[0149] If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state. The above-mentioned embodiment can be referred to for description, and no further description is given.

[0150] Further, after the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis method of the flexible direct current converter valve submodule further includes:

[0151] If the diagnosis result is determined to be the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component that causes the attention state or the serious state.

[0152] Furthermore, the expert diagnosis system is pre-established, including:

[0153] Construct an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name; refer to the above embodiment for description and no further description is given.

[0154] Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the correlation analysis between the influencing factors; please refer to the above embodiment for description and will not repeat them here.

[0155] The flexible direct current converter valve submodule sample data is traversed to match the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the numerical ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data. The above-mentioned embodiment can be referred to for explanation and will not be repeated here.

[0156] Further, obtaining the sample data of the flexible direct current converter valve submodule includes:

[0157] The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause that can cause different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule. The above-mentioned embodiments can be referred to for explanation and will not be repeated here.

[0158] Further, obtaining the original data in the historical fault case library includes:

[0159] Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule; refer to the above-mentioned embodiment for description and no further details will be given.

[0160] An initial analysis is performed on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components; the above description may be referred to and will not be repeated herein.

[0161] Each item of similar state quantity data is subjected to data comparison and analysis to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library. The above-mentioned embodiment can be referred to for explanation, and no further description is given.

[0162] Figure 2 FIG. 1 is a schematic diagram of a structure of a diagnostic device for a flexible direct current converter valve submodule provided in an embodiment of the present invention. Figure 2 As shown, the diagnostic device of the flexible direct current converter valve submodule provided in the embodiment of the present invention includes an acquisition unit 201, a diagnosis unit 202 and a determination unit 203, wherein:

[0163] The acquisition unit 201 is used to acquire the data of the flexible direct current converter valve submodule; wherein the data of the flexible direct current converter valve submodule is the abnormal state quantity data corresponding to each group of components in the submodule; the diagnosis unit 202 is used to diagnose the abnormal state quantity data corresponding to each group of components based on a pre-established expert diagnosis system, and obtain the diagnosis results of the group components corresponding to each group of components; wherein the expert diagnosis system is obtained by training a decision tree based on the sample data of the flexible direct current converter valve submodule; the determination unit 203 is used to determine the diagnosis result of the flexible direct current converter valve submodule based on the diagnosis results of each group of components.

[0164] Specifically, the acquisition unit 201 in the device is used to acquire the data of the flexible direct current converter valve sub-module; wherein the flexible direct current converter valve sub-module data is the abnormal state quantity data corresponding to each group of components in the sub-module; the diagnosis unit 202 is used to diagnose the abnormal state quantity data corresponding to each group of components based on a pre-established expert diagnosis system, and obtain the diagnosis results of the group components corresponding to each group of components; wherein the expert diagnosis system is obtained by training a decision tree based on the sample data of the flexible direct current converter valve sub-module; the determination unit 203 is used to determine the diagnosis result of the flexible direct current converter valve sub-module according to the diagnosis results of each group of components.

[0165] The diagnostic device of the flexible direct current converter valve submodule provided in the embodiment of the present invention obtains the flexible direct current converter valve submodule data; wherein the flexible direct current converter valve submodule data is the abnormal state quantity data corresponding to each group of components in the submodule; based on a pre-established expert diagnostic system, the abnormal state quantity data corresponding to each group of components are diagnosed to obtain the group component diagnostic results corresponding to each group of components; wherein the expert diagnostic system is obtained by training a decision tree based on the sample data of the flexible direct current converter valve submodule; the diagnostic result of the flexible direct current converter valve submodule is determined according to the diagnostic results of each group of components, which can improve the accuracy of the diagnostic result of the flexible direct current converter valve submodule.

[0166] Furthermore, the determining unit 203 is specifically configured to:

[0167] If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state;

[0168] If the number of component diagnosis results that are determined to be in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

[0169] Furthermore, the determining unit 203 is specifically configured to:

[0170] If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state.

[0171] Further, after the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis device of the flexible direct current converter valve submodule is further used for:

[0172] If it is determined that the diagnosis result is the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component causing the attention state or the serious state to occur.

[0173] Furthermore, the diagnostic device of the flexible direct current converter valve submodule is also used for:

[0174] Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name;

[0175] Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors;

[0176] The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

[0177] Furthermore, the diagnostic device of the flexible direct current converter valve submodule is also specifically used for:

[0178] The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

[0179] Furthermore, the diagnostic device of the flexible direct current converter valve submodule is also specifically used for:

[0180] Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule;

[0181] Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components;

[0182] Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

[0183] The embodiment of the present invention provides an embodiment of a diagnostic device for a flexible direct current converter valve submodule, which can be specifically used to execute the processing flow of the above-mentioned method embodiments. Its functions are not repeated here, and reference can be made to the detailed description of the above-mentioned method embodiments.

[0184] Figure 3 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 3 As shown, the electronic device includes: a processor (processor) 301, a memory (memory) 302 and a bus 303;

[0185] The processor 301 and the memory 302 communicate with each other via a bus 303;

[0186] The processor 301 is used to call the program instructions in the memory 302 to execute the methods provided by the above method embodiments, for example, including:

[0187] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0188] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0189] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0190] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can perform the methods provided by the above method embodiments, for example, including:

[0191] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0192] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0193] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0194] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables the computer to execute the methods provided by the above method embodiments, for example, including:

[0195] Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule;

[0196] Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group;

[0197] The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

[0198] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0199] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0200] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0201] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0202] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0203] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A diagnostic method for a flexible direct current converter valve submodule, characterized in that: include: Obtaining abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule; Diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group; The diagnosis result of the flexible direct current converter valve submodule is determined according to the diagnosis results of each group of components.

2. The diagnostic method for the flexible direct current converter valve submodule according to claim 1, characterized in that: Determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes: If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state; If the number of component diagnosis results that are determined to be in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

3. The diagnosis method of the flexible direct current converter valve submodule according to claim 2, characterized in that: Determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components includes: If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state.

4. The diagnosis method of the flexible direct current converter valve submodule according to claim 2, characterized in that: After the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis method of the flexible direct current converter valve submodule further includes: If it is determined that the diagnosis result is the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component causing the attention state or the serious state to occur.

5. The diagnosis method of the flexible direct current converter valve submodule according to any one of claims 1 to 4, characterized in that: The expert diagnosis system is pre-established, including: Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name; Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors; The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

6. The diagnosis method of the flexible direct current converter valve submodule according to claim 5, characterized in that: Acquiring sample data of the flexible direct current converter valve submodule includes: The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

7. The diagnosis method of the flexible direct current converter valve submodule according to claim 6, characterized in that: The original data in the historical fault case library is obtained, including: Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule; Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components; Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

8. A diagnostic device for a flexible direct current converter valve submodule, characterized in that: include: An acquisition unit, used to acquire abnormal state quantity data corresponding to each group of components in the flexible direct current converter valve submodule; A diagnosis unit, used to diagnose the abnormal state quantity data based on a pre-established expert diagnosis system to obtain component diagnosis results corresponding to each component group; A determination unit is used to determine the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components.

9. The diagnostic device for the flexible direct current converter valve submodule according to claim 8, characterized in that: The determining unit is specifically used for: If the number of the component diagnosis results that are determined to be in the attention state is less than or equal to a preset number, determining that the diagnosis result is in the attention state; If the number of component diagnosis results that are determined to be in the caution state is greater than a preset number, the diagnosis result is determined to be a severe state, wherein the severity of the severe state is higher than the caution state.

10. The diagnostic device for the flexible direct current converter valve submodule according to claim 9, characterized in that: The determining unit is specifically used for: If it is determined that the component diagnosis result is the serious state, then the diagnosis result is determined to be the serious state.

11. The diagnostic device for the flexible direct current converter valve submodule according to claim 9, characterized in that: After the step of determining the diagnosis result of the flexible direct current converter valve submodule according to the diagnosis results of each group of components, the diagnosis device of the flexible direct current converter valve submodule is further used for: If it is determined that the diagnosis result is the attention state or the serious state, a corresponding treatment strategy is determined according to at least one component causing the attention state or the serious state to occur.

12. The diagnostic device for a flexible direct current converter valve submodule according to any one of claims 8 to 11, characterized in that: The diagnostic device of the flexible direct current converter valve submodule is also used for: Constructing an abnormal reason tree corresponding to each group component; the root node of each abnormal reason tree is the corresponding group component name, and the leaf node is the abnormal reason corresponding to the group component name; Construct a logical judgment tree corresponding to each abnormal cause; the root node of each logical judgment tree is the name of the corresponding abnormal cause, the leaf nodes are the influencing factors of each level that cause the abnormal cause, and the edges between the leaf nodes represent the logical relationship of the association analysis between the influencing factors; The flexible direct current converter valve submodule sample data is traversed to match and obtain the flexible direct current converter valve submodule target sample data associated with the abnormal causes corresponding to each group of components, and the value interval ranges corresponding to each influencing factor that can cause different abnormal degrees of the corresponding group of components are determined according to the flexible direct current converter valve submodule target sample data.

13. The diagnostic device for the flexible direct current converter valve submodule according to claim 12, characterized in that: The diagnostic device of the flexible direct current converter valve submodule is also specifically used for: The abnormal degree of the faulty component, the abnormal cause, and the numerical ranges corresponding to the abnormal state quantity data corresponding to the abnormal cause and which may lead to different abnormal degrees of the corresponding component are obtained from the historical fault case library of the flexible direct current converter valve submodule.

14. The diagnostic device for the flexible direct current converter valve submodule according to claim 13, characterized in that: The diagnostic device of the flexible direct current converter valve submodule is also specifically used for: Acquire multi-source data corresponding to each group of components in the flexible direct current converter valve submodule; Performing an initial analysis on the multi-source data corresponding to each group of components to obtain state quantity data corresponding to each group of components; Data comparison and analysis are performed on each item of similar state quantity data to obtain abnormal state quantity data, and the abnormal state quantity data is used as the original data in the historical fault case library.

15. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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