A digital AI maintenance and support system for armored equipment

Abstract

The present invention provides a digital AI maintenance and support system for armored equipment, characterized in that it includes a fault information receiving module, an AI solution generating module, an intelligent auxiliary execution module and a management feedback module, wherein the fault information receiving module is used to receive fault information of armored equipment, the AI ​​solution generating module generates a maintenance solution based on the fault information, the intelligent auxiliary execution module is used to output auxiliary information of the maintenance solution, and the management feedback module is used to manage data information during the maintenance process; the system can intelligently analyze and generate maintenance solutions based on fault information, and control maintenance equipment to perform maintenance, which can greatly reduce the demand for manpower and improve the automated maintenance capability of armored equipment.

Description

Technical Field

[0001] The present invention relates to the field of electronic digital data processing, and in particular to a digital AI maintenance and support system for armored equipment. Background Art

[0002] As modern armored equipment becomes increasingly intelligent and complex, traditional maintenance and support methods can no longer meet the needs of efficient and high-precision maintenance. Traditional methods usually rely on manual experience and have problems such as long maintenance time, low fault location efficiency, and non-standard maintenance plans. Especially in battlefield or emergency mission environments, this inefficient maintenance mode may seriously affect the availability and combat capability of equipment. To solve these problems, intelligent and digital maintenance and support systems have become a development trend.

[0003] Now many equipment maintenance systems have been developed. After a lot of searching and reference, it is found that the existing equipment maintenance systems are such as the system disclosed in the publication number CN114677868B. These systems generally include an operating platform, an equipment maintenance training device, a simulation device, equipment maintenance training software, cables, and packaging boxes; the operating platform is equipped with a liquid crystal display and a setting panel, through which the fault of the actuator is simulated and the fault diagnosis is completed; the equipment maintenance training device adopts the application scheme of CPU processing module + DSP module, the CPU processing module is used for acquisition, analysis, processing and display, the DSP module provides switch resources, AD resources, DA resources, and amplifies, reduces, and controls, so that the signal of the tested component is input to the CPU module for processing, which is used for system status detection and step-by-step control; the simulation device simulates the acquisition and control functions of the actual installed signal; the equipment maintenance training system software includes equipment status analysis and management software and embedded data acquisition and processing software. However, this system is only used for maintenance training, and cannot generate maintenance plans and perform maintenance, and the degree of automation is low. Summary of the invention

[0004] The purpose of the present invention is to propose a digital AI maintenance and support system for armored equipment in response to the existing deficiencies.

[0005] The present invention adopts the following technical solution:

[0006] A digital AI maintenance and support system for armored equipment, including a fault information receiving module, an AI solution generating module, an intelligent auxiliary execution module and a management feedback module;

[0007] The fault information receiving module is used to receive fault information of armored equipment, the AI ​​solution generating module generates a maintenance solution based on the fault information, the intelligent auxiliary execution module is used to output auxiliary information of the maintenance solution, and the management feedback module is used to manage data information during the maintenance process;

[0008] The fault information receiving module includes a fault interface unit, a data parsing unit and an information verification unit, wherein the fault interface unit is used to obtain fault information, the data parsing unit is used to parse the fault information and perform formatting processing, and the information verification unit is used to verify the integrity of the fault information;

[0009] The AI ​​solution generation module includes a knowledge base unit, a solution reasoning unit and a solution output unit. The knowledge base unit is used to store knowledge data between faults and maintenance. The solution reasoning unit obtains a maintenance solution by reasoning the fault information based on the knowledge base. The solution output unit is used to output the maintenance solution to the intelligent auxiliary execution module.

[0010] The intelligent auxiliary execution module includes a dynamic display unit, a device control unit and a real-time monitoring unit. The dynamic display unit is used to display a dynamic animation of the maintenance process. The device control unit is used to execute control instructions to control the maintenance equipment. The real-time monitoring unit is used to monitor the maintenance screen in real time and compare it with the dynamic animation.

[0011] The management feedback module includes a data management unit, a maintenance evaluation unit and a maintenance report unit. The data management unit is used to store data information during the maintenance process, the maintenance evaluation unit is used to evaluate the maintenance effect, and the maintenance report unit is used to output and display maintenance report data.

[0012] Furthermore, the scheme reasoning unit includes a case matching processor, a reasoning engine processor and a numerical budget processor. The case matching processor obtains matching cases from the knowledge base unit based on the fault data packet, the reasoning engine processor generates a maintenance operation sequence based on the matching case, and the numerical budget processor is used to calculate the operation value of the maintenance operation.

[0013] Furthermore, the process of generating a maintenance operation sequence by the inference engine processor includes the following steps:

[0014] S1. Obtain two matching cases, find the intersection of the maintenance operations in the two cases, and obtain a basic operation sequence;

[0015] S2, repeat step S1 until any two matching cases are processed, and a total of n basic operation sequences are obtained. m is the number of matching cases;

[0016] S3, merging the n basic operation sequences in sequence to obtain a maintenance operation sequence;

[0017] The numerical budget processor calculates the operation value V of the maintenance operation according to the following formula:

[0018]

[0019] Where R represents the set of matching case numbers containing the maintenance operation, n(R) represents the number of elements in the set R, and k i represents the weight coefficient of the i-th matching case, and V(i) represents the operation value of the maintenance operation in the i-th matching case.

[0020] Furthermore, the process of the numerical budget processor analyzing the matching case weight coefficient includes the following steps:

[0021] S21, determining different data items of the matching case and the fault data packet, which are called target analysis items, and the current maintenance operation is called the target operation item;

[0022] S22, screening out cases whose target analysis items are consistent with the matching cases, which are called target cases;

[0023] S23, obtaining target operation item values ​​of all target cases;

[0024] S24, calculating the mean a and standard deviation σ of the target operation item;

[0025] S25. Calculate the weight coefficient of the matching case according to the following formula:

[0026]

[0027] Furthermore, the dynamic display unit includes a model data register, an action generation processor and a screen display processor. The model data register is used to store all component models of the armored equipment. The action generation processor selects corresponding components based on operation instructions and generates maintenance actions for the components. The screen display processor is used to display the maintenance actions for the components.

[0028] The beneficial effects achieved by the present invention are:

[0029] This system receives fault information and compares and analyzes it with case information. In the absence of completely consistent cases, it generates maintenance plans through reasoning, calculates and infers the specific data in the maintenance operation, and controls the maintenance equipment to execute the maintenance plan. It has a high degree of automated processing capabilities, greatly reducing the demand for maintenance personnel and improving the adaptability of armored equipment in various environments.

[0030] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1It is a schematic diagram of the overall structural framework of the present invention;

[0032] Figure 2 This is a schematic diagram of the fault information receiving module of the present invention;

[0033] Figure 3 This is a schematic diagram of the AI ​​solution generation module of the present invention;

[0034] Figure 4 This is a schematic diagram of the intelligent auxiliary execution module of the present invention;

[0035] Figure 5 This is a schematic diagram of the management feedback module of the present invention;

[0036] Figure 6 This is a schematic diagram of the maintenance effect of the experimental test of this system. DETAILED DESCRIPTION

[0037] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual sizes. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0038] Embodiment 1.

[0039] This implementation provides a digital AI maintenance and support system for armored equipment. Figure 1 , including fault information receiving module, AI solution generation module, intelligent auxiliary execution module and management feedback module;

[0040] The fault information receiving module is used to receive fault information of armored equipment, the AI ​​solution generating module generates a maintenance solution based on the fault information, the intelligent auxiliary execution module is used to output auxiliary information of the maintenance solution, and the management feedback module is used to manage data information during the maintenance process;

[0041] The fault information receiving module includes a fault interface unit, a data parsing unit and an information verification unit, wherein the fault interface unit is used to obtain fault information, the data parsing unit is used to parse the fault information and perform formatting processing, and the information verification unit is used to verify the integrity of the fault information;

[0042] The AI ​​solution generation module includes a knowledge base unit, a solution reasoning unit and a solution output unit. The knowledge base unit is used to store knowledge data between faults and maintenance. The solution reasoning unit obtains a maintenance solution by reasoning the fault information based on the knowledge base. The solution output unit is used to output the maintenance solution to the intelligent auxiliary execution module.

[0043] The intelligent auxiliary execution module includes a dynamic display unit, a device control unit and a real-time monitoring unit. The dynamic display unit is used to display a dynamic animation of the maintenance process. The device control unit is used to execute control instructions to control the maintenance equipment. The real-time monitoring unit is used to monitor the maintenance screen in real time and compare it with the dynamic animation.

[0044] The management feedback module includes a data management unit, a maintenance evaluation unit and a maintenance report unit. The data management unit is used to store data information during the maintenance process, the maintenance evaluation unit is used to evaluate the maintenance effect, and the maintenance report unit is used to output and display maintenance report data.

[0045] The scheme reasoning unit includes a case matching processor, a reasoning engine processor and a numerical budget processor. The case matching processor obtains matching cases from the knowledge base unit based on the fault data packet, the reasoning engine processor generates a maintenance operation sequence based on the matching case, and the numerical budget processor is used to calculate the operation value of the maintenance operation.

[0046] The process of generating a maintenance operation sequence by the inference engine processor comprises the following steps:

[0047] S1. Obtain two matching cases, find the intersection of the maintenance operations in the two cases, and obtain a basic operation sequence;

[0048] S2, repeat step S1 until any two matching cases are processed, and a total of n basic operation sequences are obtained. m is the number of matching cases;

[0049] S3, merging the n basic operation sequences in sequence to obtain a maintenance operation sequence;

[0050] The numerical budget processor calculates the operation value V of the maintenance operation according to the following formula:

[0051]

[0052] Where R represents the set of matching case numbers containing the maintenance operation, n(R) represents the number of elements in the set R, and k i represents the weight coefficient of the i-th matching case, and V(i) represents the operation value of the maintenance operation in the i-th matching case.

[0053] The process of analyzing the matching case weight coefficient by the numerical budget processor includes the following steps:

[0054] S21, determining different data items of the matching case and the fault data packet, which are called target analysis items, and the current maintenance operation is called the target operation item;

[0055] S22, screening out cases whose target analysis items are consistent with the matching cases, which are called target cases;

[0056] S23, obtaining target operation item values ​​of all target cases;

[0057] S24, calculating the mean a and standard deviation σ of the target operation item;

[0058] S25. Calculate the weight coefficient of the matching case according to the following formula:

[0059]

[0060] The dynamic display unit includes a model data register, an action generation processor and a screen display processor. The model data register is used to store all component models of armored equipment. The action generation processor selects corresponding components based on operation instructions and generates maintenance actions for the components. The screen display processor is used to display the maintenance actions for the components.

[0061] Embodiment 2.

[0062] This embodiment includes all the contents of the first embodiment, and provides a digital AI maintenance and support system for armored equipment, including a fault information receiving module, an AI solution generating module, an intelligent auxiliary execution module, and a management feedback module;

[0063] The fault information receiving module is used to receive fault information of armored equipment, the AI ​​solution generating module generates a maintenance solution based on the fault information, the intelligent auxiliary execution module is used to output auxiliary information of the maintenance solution, and the management feedback module is used to manage data information during the maintenance process;

[0064] Combination Figure 2 The fault information receiving module includes a fault interface unit, a data parsing unit and an information verification unit, wherein the fault interface unit is used to obtain fault information, the data parsing unit is used to parse the fault information and perform formatting processing, and the information verification unit is used to verify the integrity of the fault information;

[0065] Combination Figure 3The AI ​​solution generation module includes a knowledge base unit, a solution reasoning unit and a solution output unit. The knowledge base unit is used to store knowledge data between faults and maintenance. The solution reasoning unit obtains a maintenance solution by reasoning the fault information based on the knowledge base. The solution output unit is used to output the maintenance solution to the intelligent auxiliary execution module.

[0066] Combination Figure 4 The intelligent auxiliary execution module includes a dynamic display unit, a device control unit and a real-time monitoring unit. The dynamic display unit is used to display the dynamic animation of the maintenance process. The device control unit is used to execute control instructions to control the maintenance equipment. The real-time monitoring unit is used to monitor the maintenance screen in real time and compare it with the dynamic animation.

[0067] Combination Figure 5 The management feedback module includes a data management unit, a maintenance evaluation unit and a maintenance report unit. The data management unit is used to store data information during the maintenance process, the maintenance evaluation unit is used to evaluate the maintenance effect, and the maintenance report unit is used to output and display maintenance report data;

[0068] The fault interface unit includes a detection docking processor, a data receiving processor and a data cache unit, wherein the detection docking processor is used to dock with the detection system, the data receiving processor is used to receive the fault information sent by the detection system, and the data cache unit is used to temporarily store the received fault information;

[0069] The data parsing unit includes a framework information storage, an information mapping processor and a format conversion processor, wherein the framework information storage is used to store the framework information of each fault, the information mapping processor maps the fault information with each data item in the framework information based on the framework, and the format conversion processor performs format conversion on the fault information based on the mapping relationship;

[0070] The information verification unit includes a framework verification processor and a fault packaging processor. The framework verification processor is used to verify the data of each project in the framework, and the fault packaging processor is used to package the verified fault framework content into a fault data packet and send it to the AI ​​solution generation module;

[0071] The knowledge base unit includes a case information register, an operation information register and an operation retrieval processor, wherein the case information register is used to store actual case information of a maintenance fault, the operation information register is used to store specific information of each maintenance operation, and the operation retrieval processor is used to retrieve the operation information contained in the case;

[0072] The scheme reasoning unit includes a case matching processor, a reasoning engine processor and a numerical budget processor. The case matching processor obtains matching cases from the knowledge base unit based on the fault data packet, the reasoning engine processor generates a maintenance operation sequence by reasoning based on the matching cases, and the numerical budget processor is used to calculate the operation value of the maintenance operation;

[0073] When there is a case that is consistent with the fault data packet in the case information register, the case matching processor directly takes the case as a matching case. At this time, the inference engine processor and the data budget processor are skipped to directly output the maintenance plan. If there is no case, all cases that differ from the fault data packet by only one data item are taken as matching cases.

[0074] The process of generating a maintenance operation sequence by the inference engine processor comprises the following steps:

[0075] S1. Obtain two matching cases, find the intersection of the maintenance operations in the two cases, and obtain a basic operation sequence;

[0076] S2, repeat step S1 until any two matching cases are processed, and a total of n basic operation sequences are obtained. m is the number of matching cases;

[0077] S3, merging the n basic operation sequences in sequence to obtain a maintenance operation sequence;

[0078] The numerical budget processor calculates the operation value V of the maintenance operation according to the following formula:

[0079]

[0080] Where R represents the set of matching case numbers containing the maintenance operation, n(R) represents the number of elements in the set R, and k i represents the weight coefficient of the i-th matching case, V(i) represents the operation value of the maintenance operation in the i-th matching case;

[0081] The process of analyzing the matching case weight coefficient by the numerical budget processor includes the following steps:

[0082] S21, determining different data items of the matching case and the fault data packet, which are called target analysis items, and the current maintenance operation is called the target operation item;

[0083] S22, screening out cases whose target analysis items are consistent with the matching cases, which are called target cases;

[0084] S23, obtaining target operation item values ​​of all target cases;

[0085] S24, calculating the mean a and standard deviation σ of the target operation item;

[0086] S25. Calculate the weight coefficient of the matching case according to the following formula:

[0087]

[0088] The scheme output unit includes an instruction generation unit and a timing management unit, wherein the instruction generation unit is used to generate an operation instruction, and the timing management unit is used to manage and control the output sequence of the operation instruction;

[0089] The dynamic display unit includes a model data register, an action generation processor and a screen display processor, wherein the model data register is used to store all component models of the armored equipment, the action generation processor selects corresponding components based on the operation instructions and generates maintenance actions for the components, and the screen display processor is used to display the maintenance actions for the components;

[0090] The device control unit includes a device connection processor, a device verification processor and an instruction execution processor, wherein the device connection processor is used to connect with the maintenance device, the device verification processor is used to verify whether the connected maintenance device is consistent with the device corresponding to the operation instruction, and the instruction execution processor is used to control the connected maintenance device to execute the operation instruction;

[0091] The real-time monitoring unit includes a picture monitoring processor, a picture comparison processor and an emergency termination processor. The picture monitoring processor is used to capture picture information when the maintenance equipment is repairing the armored equipment. The picture comparison processor is used to compare and analyze the captured picture information with the model animation information. The emergency termination processor is used to suspend the maintenance operation when the picture comparison is inconsistent.

[0092] The data management unit includes a maintenance code processor, a data acquisition processor and a project data register, wherein the maintenance code processor is used to perform code management on each maintenance project, the data acquisition processor is used to collect data comparison of armored equipment before and after maintenance, and the project data register stores the collected comparison data based on the project code;

[0093] The maintenance evaluation unit includes an evaluation calculation processor, an effect statistics processor and a feedback screening processor, wherein the evaluation calculation processor is used to evaluate the maintenance effect of each maintenance item, the effect statistics processor is used to perform statistical analysis on the effects of all maintenance items for the same fault, and the feedback screening processor is used to screen out maintenance items as comparison items and feed them back to the maintenance report unit;

[0094] The maintenance report unit includes a report display processor and a comparison display processor, wherein the report display processor is used to process the current maintenance data to generate report information and display it, and the comparison display processor is used to process the comparison items and output the difference between the display and the current maintenance data;

[0095] The i appearing in the above text is an ordinal number used to indicate a sequence number and has no actual meaning.

[0096] Some code information of this system is described as follows:

[0097]

[0098]

[0099]

[0100]

[0101] The experimental test equipment is set to 10 different faults, which are repaired by this system. The fault repair rate is obtained by testing. Figure 6 The effect diagram shown.

[0102] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A digital AI maintenance and support system for armored equipment, characterized in that: It includes fault information receiving module, AI solution generation module, intelligent auxiliary execution module and management feedback module; The fault information receiving module is used to receive fault information of armored equipment, the AI ​​solution generating module generates a maintenance solution based on the fault information, the intelligent auxiliary execution module is used to output auxiliary information of the maintenance solution, and the management feedback module is used to manage data information during the maintenance process; The fault information receiving module includes a fault interface unit, a data parsing unit and an information verification unit, wherein the fault interface unit is used to obtain fault information, the data parsing unit is used to parse the fault information and perform formatting processing, and the information verification unit is used to verify the integrity of the fault information; The AI ​​solution generation module includes a knowledge base unit, a solution reasoning unit and a solution output unit. The knowledge base unit is used to store knowledge data between faults and maintenance. The solution reasoning unit obtains a maintenance solution by reasoning the fault information based on the knowledge base. The solution output unit is used to output the maintenance solution to the intelligent auxiliary execution module. The intelligent auxiliary execution module includes a dynamic display unit, a device control unit and a real-time monitoring unit. The dynamic display unit is used to display a dynamic animation of the maintenance process. The device control unit is used to execute control instructions to control the maintenance equipment. The real-time monitoring unit is used to monitor the maintenance screen in real time and compare it with the dynamic animation. The management feedback module includes a data management unit, a maintenance evaluation unit and a maintenance report unit. The data management unit is used to store data information during the maintenance process, the maintenance evaluation unit is used to evaluate the maintenance effect, and the maintenance report unit is used to output and display maintenance report data.

2. The digital AI maintenance and support system for armored equipment according to claim 1, characterized in that: The scheme reasoning unit includes a case matching processor, a reasoning engine processor and a numerical budget processor. The case matching processor obtains matching cases from the knowledge base unit based on the fault data packet, the reasoning engine processor generates a maintenance operation sequence based on the matching case, and the numerical budget processor is used to calculate the operation value of the maintenance operation.

3. The digital AI maintenance and support system for armored equipment according to claim 2, characterized in that: The process of generating a maintenance operation sequence by the inference engine processor comprises the following steps: S1. Obtain two matching cases, find the intersection of the maintenance operations in the two cases, and obtain a basic operation sequence; S2, repeat step S1 until any two matching cases are processed, and a total of n basic operation sequences are obtained. m is the number of matching cases; S3, merging the n basic operation sequences in sequence to obtain a maintenance operation sequence; The numerical budget processor calculates the operation value V of the maintenance operation according to the following formula: Where R represents the set of matching case numbers containing the maintenance operation, n(R) represents the number of elements in the set R, and k i represents the weight coefficient of the i-th matching case, and V(i) represents the operation value of the maintenance operation in the i-th matching case.

4. The digital AI maintenance and support system for armored equipment as claimed in claim 3, characterized in that: The process of analyzing the matching case weight coefficient by the numerical budget processor includes the following steps: S21, determining different data items of the matching case and the fault data packet, which are called target analysis items, and the current maintenance operation is called the target operation item; S22, screening out cases whose target analysis items are consistent with the matching cases, which are called target cases; S23, obtaining target operation item values ​​of all target cases; S24, calculating the mean a and standard deviation σ of the target operation item; S25. Calculate the weight coefficient of the matching case according to the following formula:

5. The digital AI maintenance and support system for armored equipment as claimed in claim 4, characterized in that: The dynamic display unit includes a model data register, an action generation processor and a screen display processor. The model data register is used to store all component models of armored equipment. The action generation processor selects corresponding components based on operation instructions and generates maintenance actions for the components. The screen display processor is used to display the maintenance actions for the components.

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