RCM-Based Equipment Maintenance Method and System

Abstract

The present invention relates to the technical field of equipment maintenance management, and discloses an equipment overhaul and maintenance method and system based on RCM. The system includes an equipment maintenance case cloud library search module, an equipment maintenance plan analysis module, and an equipment maintenance plan feedback module. Through a data search algorithm, based on the actual working time of the equipment, the driving mileage parameter, and the parameters of the specific equipment overhaul and maintenance case cloud library object, the equipment overhaul and maintenance operation information is autonomously analyzed to intelligently search for the overhaul and maintenance operation data with the same operation time and driving mileage as the overhaul and maintenance equipment. Based on efficient and scientific data statistics, the overhaul and maintenance operation information with the largest usage amount with the same operation time and driving mileage as the overhaul and maintenance equipment is statistically obtained, and a current best equipment overhaul and maintenance plan is scientifically constructed, ensuring the generality and scientificity of the equipment overhaul and maintenance plan.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment maintenance management, and specifically to an equipment overhaul and maintenance method and system based on RCM. Background Art

[0002] Equipment maintenance is the combination of equipment repair and maintenance. To prevent the deterioration of equipment performance or reduce the probability of equipment failure, technical management measures are carried out according to the pre-stipulated plan or the provisions of corresponding technical conditions. Equipment maintenance includes after-sales maintenance, preventive maintenance, and reliability-based maintenance RCM; among them, equipment maintenance based on RCM has outstanding advantages in reducing equipment failure rate and economy; however, the existing equipment overhaul and maintenance solutions based on RCM are basically summaries of empirical cases in various industries, lack generality, and the equipment overhaul and maintenance solutions are lagging in update, and cannot scientifically formulate the current best overhaul and maintenance plan that conforms to the actual working conditions based on equipment characteristic information, reducing the effect of equipment overhaul and maintenance.

[0003] The Chinese patent application with the publication number of CN118428923A discloses a method for formulating an overhaul strategy of a thermal power plant based on RCM. Through information collection, structural function analysis, failure mode and effect analysis, it helps to determine the weak links of equipment, status evaluation and assessment, logical decision-making analysis, maintenance decision-making, post-evaluation and continuous improvement, evaluate and analyze them, and take measures according to the evaluation results to continuously improve and enhance. The above technical solutions are only applicable to the overhaul and maintenance of thermal power plants, and at the same time, they cannot formulate the current best overhaul strategy for thermal power plants, reducing the overhaul effect of thermal power plants. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] To solve the problem that the existing equipment overhaul and maintenance solutions based on RCM are basically summaries of empirical cases in various industries, lack generality, and the equipment overhaul and maintenance solutions are lagging in update, and cannot scientifically formulate the current best overhaul and maintenance plan that conforms to the actual working conditions based on equipment characteristic information, reducing the effect of equipment overhaul and maintenance, the purpose is to accurately collect the equipment factory characteristic information and equipment usage working condition information, scientifically match the overhaul and maintenance case cloud library of the same equipment, accurately collect the actual working time parameters and equipment driving mileage parameters of the equipment, intelligently screen the overhaul and maintenance practical operation information of the same equipment, efficiently count the usage amount of the overhaul and maintenance practical operation methods of the same equipment, scientifically formulate the current best overhaul and maintenance plan of the same equipment, and achieve the generality and scientific nature of equipment overhaul and maintenance management.

[0006] (II) Technical Solutions

[0007] The present invention is realized through the following technical solutions: An equipment overhaul and maintenance method based on RCM, the method includes the following steps:

[0008] S1. Collect the factory feature text data and the equipment operating condition feature text data of the equipment.

[0009] S2. Based on the factory and operating condition feature information of the equipment and the object data in the equipment repair and maintenance case cloud library, search and process the object in the equipment repair and maintenance case cloud library of the same equipment to generate the object data of the specific equipment repair case cloud library.

[0010] S3. Collect the actual working time length data and the driving mileage data of the equipment.

[0011] S4. Based on the actual working time and driving mileage parameters of the equipment and the object data of the specific equipment repair case cloud library, analyze and process the repair and maintenance operation information of the same equipment to generate the specific equipment repair and maintenance operation data.

[0012] S5. According to the specific equipment repair and maintenance operation data and the object data of the specific equipment repair case cloud library, count the number of times of using the equipment repair and maintenance operation information to generate the usage data of the specific equipment repair and maintenance operation method.

[0013] S6. Based on the specific equipment repair and maintenance operation data and the usage data of the specific equipment repair and maintenance operation method, analyze and process the current best repair and maintenance plan of the specific equipment to generate the data of the current best repair and maintenance plan of the specific equipment.

[0014] S7. Construct the equipment repair and maintenance result data and push it to the equipment maintenance control center for feedback.

[0015] Preferably, the operation steps of collecting the factory feature text data and the equipment operating condition feature text data of the equipment are as follows:

[0016] S11. Online collect the product factory text information of the equipment to be repaired and maintained through the information collection dialog box and generate the equipment factory feature text data , and the equipment factory feature text data includes the equipment name text data, the equipment specification model text data, the equipment brand text data, and the equipment factory time point text data;

[0017] Online collect the current actual operating condition text information of the equipment to be repaired and maintained through the information collection dialog box and generate the equipment operating condition feature text data , and the equipment operating condition feature text data includes the temperature text data, the humidity text data, the pressure text data, the vibration text data, the speed text data, the load text data, the light intensity text data, and the dust concentration text data.

[0018] Preferably, the operation steps for searching the equipment overhaul and maintenance case cloud library object of the same equipment based on the equipment's factory and usage condition characteristic information and generating the specific equipment overhaul case cloud library object data are as follows:

[0019] S21. Establish a data set of equipment overhaul and maintenance case cloud library objects , ; where represents the equipment overhaul and maintenance case cloud library object data corresponding to the th type of equipment factory information and usage condition information, represents the maximum value of the combination type quantity of equipment factory information and usage condition information; where , ; represents the equipment overhaul and maintenance case cloud library object data in the rd set of equipment overhaul and maintenance practical operation data corresponding to the equipment operation time length and driving mileage, represents the maximum value of the combination type quantity of equipment operation time length and driving mileage; the equipment overhaul and maintenance case cloud library object data includes equipment overhaul and maintenance practical operation information and the number of times the equipment overhaul and maintenance practical operation information is used; the equipment overhaul and maintenance practical operation data includes the component information, component failure information, and component failure handling information of equipment overhaul and maintenance;

[0020] S22. Match the equipment factory feature text data , the equipment usage condition feature text data with the equipment overhaul and maintenance case cloud library object data in the equipment overhaul and maintenance case cloud library object data set according to the keywords of equipment factory information and equipment usage condition information, search for the equipment overhaul and maintenance case cloud library object data matching the equipment factory feature text data and the equipment usage condition feature text data and generate the specific equipment overhaul case cloud library object data through data identification, where represents the th set of specific equipment overhaul and maintenance practical operation data corresponding to the equipment operation time length and driving mileage; the specific operation steps for generating the specific equipment overhaul case cloud library object data are as follows: Set the equipment overhaul and maintenance case cloud library object data

[0021] as the current solution, and let ​, that is, the object data set of the equipment maintenance case cloud library Set the initial temperature for starting annealing in the search space , and randomly generate an initial solution , that is, randomly search in the object data set of the equipment maintenance case cloud library Search in the search space for the equipment factory feature text data and the equipment operating condition feature text data The object data of the equipment maintenance case cloud library that matches , and calculate the objective function value corresponding to the initial solution ;

[0022] S222. Generate the object data of the equipment maintenance case cloud library The difference between the new solution and the object data of the equipment maintenance case cloud library The current solution, and perturb the current solution according to the object data of the equipment maintenance case cloud library Search for the object data of the equipment maintenance case cloud library that matches the equipment factory feature text data and the equipment operating condition feature text data The new solution that matches Calculate the objective function value of the current solution and the objective function value of the new solution , and obtain the change in the objective function ; ;

[0023] S223. Determine whether the new solution of the object data of the equipment maintenance case cloud library is accepted. If the change in the objective function <0, then the new solution of the object data of the equipment maintenance case cloud library is accepted; if the change in the objective function ≥0, then the new solution of the object data of the equipment maintenance case cloud library is accepted with the following probability, where represents the current temperature; the probability formula is , where represents the current temperature,

[0024] represents a random function with a value range of (0, 1); S224. When the new solution of the object data of the equipment maintenance case cloud library is accepted, the new solution of the object data of the equipment maintenance case cloud library is accepted, and the new solution of the object data of the equipment maintenance case cloud library is the new solution Be regarded as the object data of the equipment maintenance case cloud library Current solution;

[0025] S225. Execute S221 to S224 in a loop. Under the temperature condition, repeat times of perturbation and acceptance process, and then execute the next step;

[0026] S226. Finally, find the global optimal solution: Judge whether the termination temperature has been reached. If so, terminate the algorithm and output the equipment maintenance case cloud library object data that best matches the equipment factory feature text data and the equipment operating condition feature text data ; If not, go back to the loop step S225 to continue execution; ; If not, go to the loop step S225 to continue execution;

[0027] S227. Generate specific equipment maintenance case cloud library object data from the equipment maintenance case cloud library object data output in step S226 through data identification .

[0028] Preferably, the operation steps for collecting the actual working time length data and equipment driving mileage data of the equipment are as follows:

[0029] S31. When the specific equipment maintenance case cloud library object data is generated, online collect the running time length of the maintenance equipment under the current actual operating conditions through the information collection dialog box and generate the actual working time length data of the equipment , where the unit of

[0030] is hours; Online collect the driving mileage of the maintenance equipment under the current actual operating conditions through the information collection dialog box and generate the equipment driving mileage data , where

[0031] the unit of

[0032] S41. Use the BERT language model to process the actual working time length data of the equipment , the equipment driving mileage data and the specific equipment maintenance case cloud library object data The set of practical operation data for the maintenance of the specific equipment described above According to the keywords of the actual working time information and the driving mileage information, search for the data of the actual working time length of the equipment and the driving mileage data of the equipment The set of practical operation data for the maintenance of the specific equipment that matches And generate a set of practical operation data for the maintenance of the specific equipment through data identification , ; Among them represents the th practical operation data for the maintenance of the specific equipment, represents the maximum value of the quantity of the practical operation information for the maintenance of the specific equipment

[0033] Preferably, according to the practical operation data for the maintenance of the specific equipment and the data of the cloud library object of the specific equipment maintenance case, the operation steps for counting the usage times of the practical operation information for the maintenance of the equipment are as follows:

[0034] S51. Obtain the data of the cloud library object of the specific equipment maintenance case and the set of practical operation data for the maintenance of the specific equipment ;

[0035] S52. Use the depth-first search algorithm to search for the set of practical operation data for the maintenance of the specific equipment in the data of the cloud library object of the specific equipment maintenance case in an orderly manner according to the characters of the practical operation information for the maintenance of the equipment, and search for the practical operation data for the maintenance of the specific equipment in the set of practical operation data for the maintenance of the specific equipment The usage times of the practical operation data for the maintenance of the specific equipment from to are counted and a set of data on the usage quantity of the practical operation method for the maintenance of the specific equipment is generated through data identification , among which represents the data on the usage quantity of the practical operation method for the maintenance of the specific equipment corresponding to the practical operation data for the maintenance of the specific equipment

[0036] Preferably, based on the practical operation data for the maintenance of the specific equipment and the data on the usage quantity of the practical operation method for the maintenance of the specific equipment, the operation steps for analyzing the current best maintenance plan for the specific equipment and generating the data of the current best maintenance plan for the specific equipment are as follows:

[0037] S61. Analyze the numerical value of the usage quantity of the practical operation method for the maintenance of the specific equipment in the set of data on the usage quantity of the practical operation method for the maintenance of the specific equipment Search for the practical operation method for the maintenance of the specific equipment with the largest numerical value of the usage quantity in the data on the usage quantity of the practical operation method for the maintenance of the specific equipment in the set of data on the usage quantity of the practical operation method for the maintenance of the specific equipment​ and generate the maximum usage data of the specific equipment maintenance operation method through data representation ;

[0038] S62. Search for the maximum usage data of the specific equipment maintenance operation method in the specific equipment maintenance operation data set according to the specific equipment maintenance operation information number and search out the specific equipment maintenance operation data corresponding to the maximum usage data of the specific equipment maintenance operation method and identify it as the current best equipment maintenance plan data through data .

[0039] Preferably, the operation steps of constructing the equipment maintenance result data and pushing and feeding it back to the equipment maintenance control center are as follows:

[0040] S71. Combine the equipment factory feature text data , the equipment operating condition feature text data , the equipment actual working time length data , the equipment driving mileage data , and the current best equipment maintenance plan data of the specific equipment to construct the equipment maintenance result data .

[0041] S72. Push and feed back the equipment maintenance result data to the equipment maintenance control center through the Internet of Things communication network

[0042] An equipment maintenance system based on RCM is used to implement the equipment maintenance method based on RCM. The system includes an equipment maintenance case cloud library search module, an equipment maintenance plan analysis module, and an equipment maintenance plan feedback module;

[0043] The equipment maintenance case cloud library search module includes an equipment factory feature information collection unit, an equipment operating condition information collection unit, an equipment maintenance case cloud library storage unit, and a same equipment maintenance case cloud library search unit;

[0044] The device factory feature information collection unit collects the device factory feature text data through an information collection dialog box; the device working condition information collection unit collects the device working condition feature text data through an information collection dialog box; the device repair and maintenance case cloud library storage unit is used to store the device repair and maintenance case cloud library object data; the same device repair and maintenance case cloud library search unit performs the search process of the device repair and maintenance case cloud library object for the same device based on the factory and working condition feature information of the device and the device repair and maintenance case cloud library object data, and generates the specific device repair case cloud library object data;

[0045] The device maintenance plan analysis module includes a device actual working time length collection unit, a device driving mileage information collection unit, a same device repair and maintenance practical operation information search unit, a same device repair and maintenance practical operation method usage amount statistics unit, and a same device current best repair and maintenance plan generation unit;

[0046] The device actual working time length collection unit collects the device actual working time length data through an information collection dialog box; the device driving mileage information collection unit collects the device driving mileage data through an information collection dialog box; the same device repair and maintenance practical operation information search unit performs the analysis process of the same device repair and maintenance practical operation information based on the actual working time and driving mileage parameters of the device and the specific device repair case cloud library object data, and generates the specific device repair and maintenance practical operation data; the same device repair and maintenance practical operation method usage amount statistics unit performs the statistics process of the usage times of the device repair and maintenance practical operation information according to the specific device repair and maintenance practical operation data and the specific device repair case cloud library object data, and generates the specific device repair and maintenance practical operation method usage amount data; the same device current best repair and maintenance plan generation unit performs the analysis process of the current best repair and maintenance plan for the specific device based on the specific device repair and maintenance practical operation data and the specific device repair and maintenance practical operation method usage amount data, and generates the specific device current best repair and maintenance plan data;

[0047] The device maintenance plan feedback module includes a device repair and maintenance result information generation unit and a device repair and maintenance result feedback output unit;

[0048] The device repair and maintenance result information generation unit is used to construct the device repair and maintenance result data; the device repair and maintenance result feedback output unit pushes and feeds back the device repair and maintenance result data to the device maintenance control center.

[0049] (III) Beneficial effects

[0050] The present invention provides a device repair and maintenance method and system based on RCM. It has the following beneficial effects:

[0051] 1. Through the cooperation of the equipment factory characteristics information collection unit and the equipment operating conditions information collection unit, the information collection dialog box is used to conveniently and efficiently obtain the factory information and operating conditions information of the equipment to be repaired and maintained, providing reliable data for scientifically screening out the same repair and maintenance cases of the equipment to be repaired and maintained; the equipment repair and maintenance case cloud library storage unit and the same equipment repair and maintenance case cloud library search unit cooperate with each other. The equipment repair and maintenance case cloud library object is scientifically preset, and combined with the intelligent recognition algorithm and the factory and operating conditions characteristic information of the equipment to be repaired and maintained, the accurate matching of the equipment repair and maintenance case cloud library object is realized, so as to accurately and efficiently analyze the repair and maintenance case cloud storage library of the same type of product object and operating conditions as the equipment to be repaired and maintained, improving the quality and reliability of the equipment repair and maintenance plan.

[0052] 2. Through the cooperation of the equipment actual working time length collection unit and the equipment driving mileage information collection unit, the information collection dialog box is used to accurately obtain the actual working time length and driving mileage parameters of the equipment, providing real data for scientifically screening out the actual operation methods required for the same operation time and driving mileage as the equipment to be repaired and maintained; the same equipment repair and maintenance practical information search unit uses the data search algorithm to independently analyze the equipment repair and maintenance practical information based on the actual working time and driving mileage parameters of the equipment and the parameters of the specific equipment repair case cloud library object, realizing the intelligent search for the equipment repair and maintenance practical data with the same operation time and driving mileage as the equipment to be repaired and maintained; the same equipment repair and maintenance practical method usage statistics unit and the same equipment current best repair and maintenance plan generation unit, based on data statistics, efficiently and scientifically count the most used repair and maintenance practical information with the same operation time and driving mileage as the equipment to be repaired and maintained, realizing the scientific construction of the current best repair and maintenance plan for the equipment, ensuring the generality and scientificity of the equipment repair and maintenance plan.

[0053] 3. Through the equipment repair and maintenance result information generation unit, based on the product information, usage characteristic information and repair and maintenance plan of the equipment to be repaired and maintained, the equipment repair and maintenance result information is accurately constructed through data processing, realizing the autonomous and efficient collection and processing of the information required for equipment repair and maintenance, and improving the efficiency of equipment repair and maintenance result feedback; the equipment repair and maintenance result feedback output unit accurately pushes and feedbacks the equipment repair and maintenance result information to the equipment maintenance control center through the Internet of Things, realizing the timeliness and security of equipment repair and maintenance result feedback, and improving the service experience of equipment repair and maintenance. Brief Description of the Drawings

[0054] Figure 1 It is a schematic diagram of the modules of the RCM-based equipment repair and maintenance system provided by the present invention;

[0055] Figure 2 It is a flowchart of the RCM-based equipment repair and maintenance method provided by the present invention. Detailed implementation manners

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] The implementation examples of the RCM-based equipment overhaul and maintenance method and system are as follows:

[0058] Embodiment 1:

[0059] Please refer to Figure 1 - Figure 2 , for the RCM-based equipment overhaul and maintenance method, the method includes the following steps:

[0060] S1. Collect the equipment factory feature text data and the equipment usage condition feature text data;

[0061] S2. Based on the equipment factory and usage condition feature information, search and process the overhaul and maintenance case cloud library object data of the same equipment in the equipment overhaul and maintenance case cloud library, and generate the specific equipment overhaul case cloud library object data;

[0062] S3. Collect the actual working time length data of the equipment and the equipment driving mileage data;

[0063] S4. Based on the actual working time and driving mileage parameters of the equipment and the specific equipment overhaul case cloud library object data, analyze and process the overhaul and maintenance practical operation information of the same equipment, and generate the specific equipment overhaul and maintenance practical operation data;

[0064] S5. According to the specific equipment overhaul and maintenance practical operation data and the specific equipment overhaul case cloud library object data, perform the statistical processing of the usage times of the equipment overhaul and maintenance practical operation information, and generate the specific equipment overhaul and maintenance practical operation method usage amount data;

[0065] S6. Based on the specific equipment overhaul and maintenance practical operation data and the specific equipment overhaul and maintenance practical operation method usage amount data, analyze and process the current best overhaul and maintenance plan of the specific equipment, and generate the specific equipment current best overhaul and maintenance plan data;

[0066] S7. Construct the equipment overhaul and maintenance result data and push and feedback it to the equipment maintenance control center.

[0067] Further, please refer to Figure 1 - Figure 2 , the operation steps for collecting the equipment factory feature text data and the equipment usage condition feature text data are as follows:

[0068] S11. Online collect the product factory text information of the equipment to be repaired and maintained through the information collection dialog box and generate equipment factory feature text data , and the equipment factory feature text data includes equipment name text data, equipment specification model text data, equipment brand text data, and equipment factory time point text data;

[0069] Online collect the current actual use condition text information of the equipment to be repaired and maintained through the information collection dialog box and generate equipment use condition feature text data , and the equipment use condition feature text data includes temperature text data, humidity text data, pressure text data, vibration text data, speed text data, load text data, light intensity text data, and dust concentration text data.

[0070] Based on the equipment factory and use condition feature information and the equipment repair and maintenance case cloud library object data, perform the search process of the equipment repair and maintenance case cloud library object for the same equipment. The operation steps for generating the specific equipment repair case cloud library object data are as follows:

[0071] S21. Establish a set of equipment repair and maintenance case cloud library object data , ; where represents the equipment repair and maintenance case cloud library object data corresponding to the th type of equipment factory information and use condition information, represents the maximum value of the combination type quantity of equipment factory information and use condition information; where , ; represents the equipment repair and maintenance case cloud library object data in the th type of equipment operation time length and driving mileage corresponding equipment repair and maintenance practical operation data set, represents the maximum value of the combination type quantity of equipment operation time length and driving mileage; the equipment repair and maintenance case cloud library object data includes equipment repair and maintenance practical operation information and the number of times the equipment repair and maintenance practical operation information is used; the equipment repair and maintenance practical operation data includes equipment repair and maintenance component information, component failure information, and component failure handling information;

[0072] S22. Match the equipment factory feature text data , the equipment use condition feature text data with the equipment repair and maintenance case cloud library object data in the equipment repair and maintenance case cloud library object data set according to the keywords of equipment factory information and equipment use condition information, and search out the equipment factory feature text data ​ Device operating condition characteristic text data Matched equipment overhaul and maintenance case cloud library object data And generate specific equipment overhaul case cloud library object data through data identification , where Represents the specific equipment overhaul and maintenance operation data set corresponding to the th equipment operation time length and driving mileage; Execute to generate specific equipment overhaul case cloud library object data The specific operation steps are as follows:

[0073] S221. Set the equipment overhaul and maintenance case cloud library object data As the current solution, let , that is, the equipment overhaul and maintenance case cloud library object data set The initial temperature for starting annealing is set in the search space , and a random initial solution is randomly generated, that is, randomly search in the equipment overhaul and maintenance case cloud library object data set for the equipment overhaul and maintenance case cloud library object data matched with the equipment factory characteristic text data and the device operating condition characteristic text data , and calculate the objective function value corresponding to the initial solution ;

[0074] S222. Generate the difference between the new solution of the equipment overhaul and maintenance case cloud library object data and the current solution of the equipment overhaul and maintenance case cloud library object data . According to the equipment overhaul and maintenance case cloud library object data , perturb the current solution , search for the equipment overhaul and maintenance case cloud library object data matched with the equipment factory characteristic text data and the device operating condition characteristic text data new solution , calculate the objective function value of the current solution and the objective function value of the new solution, and obtain the objective function change amount ;

[0075] S223. Determine whether the new solution of the equipment overhaul and maintenance case cloud library object data is accepted. If the objective function change amount <0, the equipment overhaul and maintenance case cloud library object data new solution is accepted; If the objective function change amount ≥0, then the equipment maintenance case cloud library object data New solution is accepted with the following probability represents the current temperature; the probability formula is , where represents the current temperature represents a random function with values in the range (0, 1);

[0076] S224. When the equipment maintenance case cloud library object data new solution is accepted, the equipment maintenance case cloud library object data new solution is regarded as the equipment maintenance case cloud library object data current solution;

[0077] S225. Loop through steps S221 to S224, and under the condition of temperature , repeat times of perturbation and acceptance process, and then execute the next step;

[0078] S226. Finally, find the global optimal solution: judge whether the termination temperature has been reached. If so, terminate the algorithm and output the equipment maintenance case cloud library object data that best matches the equipment factory characteristic text data and the equipment usage condition characteristic text data ; if not, go back to the loop step S225 to continue execution; ;

[0079] S227. Generate specific equipment maintenance case cloud library object data from the equipment maintenance case cloud library object data output in step S226 through data identification .

[0080] Through the mutual cooperation of the equipment factory characteristic information collection unit and the equipment usage condition information collection unit, the information collection dialog box is used to conveniently and efficiently obtain the factory information and usage condition information of the equipment to be maintained, providing reliable data for scientifically screening the maintenance cases of the equipment to be maintained; the equipment maintenance case cloud library storage unit and the same equipment maintenance case cloud library search unit cooperate with each other, scientifically preset the equipment maintenance case cloud library object, and combine the intelligent recognition algorithm with the factory and usage condition characteristic information of the equipment to be maintained to accurately match the equipment maintenance case cloud library object, realizing the accurate and efficient analysis of the maintenance case cloud storage library of products of the same type as the equipment to be maintained and the operating conditions, improving the quality and reliability of the equipment maintenance plan.

[0081] Further, please refer toFigure 1 - Figure 2 The operation steps for collecting the actual working time length data and the driving mileage data of the device are as follows:

[0082] S31. When the object data of the specific equipment maintenance case cloud library is generated, collect the running time length of the maintenance equipment under the current actual working conditions through the information collection dialog box and generate the actual working time length data of the device , where the unit is hours;

[0083] Collect the driving mileage of the maintenance equipment under the current actual working conditions through the information collection dialog box and generate the driving mileage data of the device , where the unit is kilometers.

[0084] The operation steps for analyzing and processing the maintenance operation information of the same equipment based on the actual working time, driving mileage parameters of the equipment and the object data of the specific equipment maintenance case cloud library, and generating the specific equipment maintenance operation data are as follows:

[0085] S41. Use the BERT language model to match the actual working time length data of the device , the driving mileage data of the device with the specific equipment maintenance operation data set in the object data of the specific equipment maintenance case cloud library according to the keywords of the actual working time information and the driving mileage information, search for the specific equipment maintenance operation data set matching the actual working time length data of the device , the driving mileage data of the device and generate the specific equipment maintenance operation data set through data identification, , where represents the th specific equipment maintenance operation data, represents the maximum value of the quantity of the specific equipment maintenance operation information.

[0086] The operation steps for statistically processing the usage times of the equipment maintenance operation information based on the specific equipment maintenance operation data and the object data of the specific equipment maintenance case cloud library, and generating the usage quantity data of the specific equipment maintenance operation method are as follows:

[0087] S51. Obtain the object data of the specific equipment maintenance case cloud library and the specific equipment maintenance operation data set ;

[0088] S52. Use the depth - first search algorithm to orderly search out the specific equipment maintenance operation data set from the object data of the cloud library of specific equipment maintenance cases according to the characters of the equipment maintenance operation information and use the number of times of the specific equipment maintenance operation data from to to generate the specific equipment maintenance operation method usage data set through data identification , where represents the specific equipment maintenance operation method usage data corresponding to the specific equipment maintenance operation data .

[0089] Based on the specific equipment maintenance operation data and the specific equipment maintenance operation method usage data, the operation steps for analyzing and processing the current best maintenance plan of the specific equipment to generate the current best maintenance plan data of the specific equipment are as follows:

[0090] S61. Conduct usage value analysis on the specific equipment maintenance operation method usage data in the specific equipment maintenance operation method usage data set to search out the specific equipment maintenance operation method usage data with the largest usage value and generate the specific equipment maintenance operation method maximum usage data through data representation ;

[0091] S62. Search out the specific equipment maintenance operation data corresponding to the specific equipment maintenance operation method maximum usage data in the specific equipment maintenance operation data set according to the specific equipment maintenance operation information number and identify it as the current best maintenance plan data of the specific equipment through data identification . .

[0092] ​​​Through the cooperation of the equipment actual working time length acquisition unit and the equipment driving mileage information acquisition unit, the information acquisition dialog box is used to accurately obtain the actual working time length and driving mileage parameters of the equipment, providing real data for scientifically screening out the actual maintenance operation methods required for equipment with the same operation time and mileage as the equipment to be overhauled and maintained; for the same equipment overhaul and maintenance operation information search unit, the data search algorithm is used to independently analyze the equipment overhaul and maintenance operation information based on the actual working time, driving mileage parameters of the equipment and the parameters of the specific equipment overhaul case cloud library object, realizing the intelligent search of the overhaul and maintenance operation data with the same operation time and driving mileage as the equipment to be overhauled and maintained; for the same equipment overhaul and maintenance operation method usage statistics unit and the same equipment current best overhaul and maintenance plan generation unit, based on data statistics, it efficiently and scientifically counts the overhaul and maintenance operation information with the largest usage amount with the same operation time and driving mileage as the equipment to be overhauled and maintained, realizing the scientific construction of the current best overhaul and maintenance plan for the equipment, ensuring the universality and scientificity of the equipment overhaul and maintenance plan.

[0093] Further, please refer to Figure 1 - Figure 2 , the operation steps for constructing the equipment overhaul and maintenance result data and pushing it back to the equipment maintenance control center are as follows:

[0094] S71. Combine the equipment factory feature text data , the equipment usage condition feature text data , the equipment actual working time length data , the equipment driving mileage data , and the current best overhaul and maintenance plan data for the specific equipment to construct the equipment overhaul and maintenance result data .

[0095] S72. Push and feedback the equipment overhaul and maintenance result data to the equipment maintenance control center through the Internet of Things communication network.

[0096] Through the equipment overhaul and maintenance result information generation unit, based on the product information, usage feature information and overhaul and maintenance plan of the equipment to be overhauled and maintained, data processing is carried out to accurately construct the equipment overhaul and maintenance result information, realizing the autonomous and efficient collection and processing of the information required for equipment overhaul and maintenance, and improving the efficiency of the equipment overhaul and maintenance result feedback; for the equipment overhaul and maintenance result feedback output unit, the equipment overhaul and maintenance result information is accurately pushed and feedback to the equipment maintenance control center through the Internet of Things, realizing the timeliness and security of the equipment overhaul and maintenance result feedback, and improving the service experience of the equipment overhaul and maintenance.

[0097] Example 2:

[0098] Please refer to Figure 1 -Figure 2 , an RCM-based equipment overhaul and maintenance system, which is used to implement the RCM-based equipment overhaul and maintenance method. The system includes an equipment maintenance case cloud library search module, an equipment maintenance plan analysis module, and an equipment maintenance plan feedback module;

[0099] The equipment maintenance case cloud library search module includes an equipment factory characteristics information collection unit, an equipment usage condition information collection unit, an equipment overhaul and maintenance case cloud library storage unit, and a same-equipment overhaul and maintenance case cloud library search unit;

[0100] The equipment factory characteristics information collection unit collects the equipment factory characteristics text data through an information collection dialog box; the equipment usage condition information collection unit collects the equipment usage condition characteristics text data through an information collection dialog box; the equipment overhaul and maintenance case cloud library storage unit is used to store the equipment overhaul and maintenance case cloud library object data; the same-equipment overhaul and maintenance case cloud library search unit conducts a search process for the same-equipment overhaul and maintenance case cloud library object based on the equipment's factory and usage condition characteristics information and the equipment overhaul and maintenance case cloud library object data, and generates the specific equipment overhaul case cloud library object data;

[0101] The equipment maintenance plan analysis module includes an equipment actual working time length collection unit, an equipment driving mileage information collection unit, a same-equipment overhaul and maintenance practical operation information search unit, a same-equipment overhaul and maintenance practical operation method usage amount statistics unit, and a same-equipment current best overhaul and maintenance plan generation unit;

[0102] The equipment actual working time length collection unit collects the equipment actual working time length data through an information collection dialog box; the equipment driving mileage information collection unit collects the equipment driving mileage data through an information collection dialog box; the same-equipment overhaul and maintenance practical operation information search unit conducts an analysis process for the same-equipment overhaul and maintenance practical operation information based on the equipment's actual working time and driving mileage parameters and the specific equipment overhaul case cloud library object data, and generates the specific equipment overhaul and maintenance practical operation data; the same-equipment overhaul and maintenance practical operation method usage amount statistics unit conducts a statistics process for the usage times of the equipment overhaul and maintenance practical operation information according to the specific equipment overhaul and maintenance practical operation data and the specific equipment overhaul case cloud library object data, and generates the specific equipment overhaul and maintenance practical operation method usage amount data; the same-equipment current best overhaul and maintenance plan generation unit conducts an analysis process for the current best overhaul and maintenance plan of the specific equipment based on the specific equipment overhaul and maintenance practical operation data and the specific equipment overhaul and maintenance practical operation method usage amount data, and generates the specific equipment current best overhaul and maintenance plan data;

[0103] The equipment maintenance plan feedback module includes an equipment overhaul and maintenance result information generation unit and an equipment overhaul and maintenance result feedback output unit;

[0104] The equipment maintenance result information generation unit is used to construct equipment maintenance result data; the equipment maintenance result feedback output unit pushes and feeds back the equipment maintenance result data to the equipment maintenance control center.

[0105] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The equipment inspection and maintenance method based on RCM is characterized by: The method comprises the following steps: S1. Collecting equipment factory feature text data and equipment usage feature text data; S2. Search and process the cloud library objects of the maintenance cases of the same equipment based on the factory delivery and usage condition characteristic information of the equipment and the cloud library object data of the maintenance cases of the equipment, and generate the cloud library object data of the maintenance cases of the specific equipment; Execute and generate specific equipment maintenance case cloud library object data A' m The specific steps are as follows: S221, Setting A m Assume T = T0 as the current solution, that is, set the initial temperature T0 for annealing in the A search space, and randomly generate an initial solution Γ r , that is, randomly search for A that matches Q and w in the A search space m , and calculate the corresponding objective function value of the initial solution S222, generate A m New Interpretation and A m The difference of the current solution, according to A m For the current solution Γ i Perform perturbation and search for A that matches Q and w m New solution Γ j , calculate the objective function value of the current solution And the objective function value of the new solution Get the change of the objective function; S223, judgment A m Whether the new solution is accepted, if the objective function changes Then A m New solution Γ j is accepted; if the objective function changes Then A m New solution Γ j Accepted with the following probability, T i Indicates the current temperature; S224, when A m When the new solution is accepted, A m New solution Γ j Treated as A m Current solution; S225, loop through step S221 to step S224, at temperature T i Under the condition, the perturbation and acceptance process is repeated three times, and then the next step is executed; S226. Finally find the global optimal solution: determine whether T has reached the termination temperature T zui If so, terminate the algorithm and output A that best matches Q and w m ; If not, go to loop step S225 to continue execution; S227, output A from step S226 m Generate specific equipment maintenance case cloud library object data A' after data identification m ; Where Q represents the equipment factory feature text data, w represents the equipment usage condition feature text data, A represents the equipment maintenance case cloud library object data set, and A includes A m , where A m Represents the equipment inspection and maintenance case cloud library object data corresponding to the factory information and operating condition information of the mth type of equipment; S3, collecting data on the actual working time of the equipment and the mileage of the equipment; S4, based on the actual working time and mileage parameters of the equipment and the cloud library object data of the specific equipment maintenance case, analyze and process the maintenance operation information of the same equipment to generate the specific equipment maintenance operation data; S5. Performing statistical processing on the usage frequency of equipment maintenance and overhaul operation information according to the specific equipment maintenance and overhaul operation data and the specific equipment maintenance case cloud library object data to generate specific equipment maintenance and overhaul operation method usage data; S6. Analyze and process the current best maintenance plan for the specific equipment based on the specific equipment maintenance operation data and the specific equipment maintenance operation method usage data, and generate the current best maintenance plan data for the specific equipment; S7. Build equipment inspection and maintenance result data and push feedback to the equipment maintenance control center.

2. The RCM-based equipment inspection and maintenance method according to claim 1 is characterized in that: The S1 comprises the following steps: S11, collecting the factory product text information of the equipment to be repaired and maintained online through the information collection dialog box and generating the factory feature text data Q of the equipment; The current actual working condition text information of the equipment to be repaired and maintained is collected online through the information collection dialog box, and the equipment working condition characteristic text data w is generated.

3. The RCM-based equipment inspection and maintenance method according to claim 2 is characterized in that: The S2 comprises the following steps: S21. Establish equipment inspection and maintenance case cloud library object data set A=(A1,…,A m ,…,A σ ), m=1,2,3,…,σ; where A m represents the equipment inspection and maintenance case cloud library object data corresponding to the mth equipment factory information and operating condition information, σ represents the maximum number of combination types of equipment factory information and operating condition information; a m,n Represents equipment inspection and maintenance case cloud library object data A m The equipment inspection and maintenance operation data set corresponding to the operating time and mileage of the nth type of equipment, Indicates the maximum value of the number of combinations of equipment operating time and mileage; S22, the Q, the w and the A in the A m According to the keyword matching of the equipment factory information and the equipment operating condition information, the A matching the Q and the w is searched. m And generate specific equipment maintenance case cloud library object data through data identification where a′ m,n Represents a set of practical data on equipment inspection and maintenance corresponding to the operating time and mileage of the nth type of equipment.

4. The RCM-based equipment inspection and maintenance method according to claim 3 is characterized in that: The S3 comprises the following steps: S31, when the A' m When the generation is completed, the operation time length of the maintenance equipment under the current actual use conditions is collected online through the information collection dialog box and the actual working time length data P of the equipment is generated, where the unit of P is hours; The mileage of the maintenance equipment under the current actual operating conditions is collected online through the information collection dialog box and the equipment mileage data O is generated, where the unit of O is kilometers.

5. The RCM-based equipment inspection and maintenance method according to claim 4 is characterized in that: The S4 comprises the following steps: S41, using the BERT language model to map the P, O and A' m a′ m,n According to the keyword matching of the actual working time information and the mileage information, the specific equipment maintenance and repair operation data set a' that matches the P and the O is searched out m,n And generate the specific equipment maintenance and repair operation data set B = (b1,…,b u ,…,b τ ), u=1,2,3,…,τ; where b u represents the u-th specific equipment maintenance operation data, and τ represents the maximum amount of specific equipment maintenance operation information.

6. The RCM-based equipment inspection and maintenance method according to claim 5 is characterized in that: The S5 comprises the following steps: S51, obtaining the A' m and said B; S52, using a depth-first search algorithm in the A' m According to the equipment maintenance and operation information characters, search for b1 to b in B in order. τ The number of times it is used is then used to generate a specific equipment maintenance and repair method usage data set C = (c1,…,c u ,…,c τ ), where c u Indicates that b u Corresponding usage data of practical methods for specific equipment inspection and maintenance.

7. The RCM-based equipment inspection and maintenance method according to claim 6 is characterized in that: The S6 comprises the following steps: S61, for the c in the C u Perform usage numerical analysis and search for the c with the largest value. u And generate the maximum usage data of specific equipment maintenance and repair practical methods through data representation S62, the According to the specific equipment maintenance operation information number, search for the corresponding equipment in B. The corresponding b u And the data is marked as the best current maintenance plan data for specific equipment 8. The RCM-based equipment inspection and maintenance method according to claim 7 is characterized in that: The S7 comprises the following steps: S71, the Q, the w, the P, the O, the Combine data to construct equipment inspection and maintenance result data S72: Push the H to the equipment maintenance control center through the Internet of Things communication network.

9. An RCM-based equipment maintenance system, used to implement the RCM-based equipment maintenance method according to any one of claims 1 to 8, characterized in that: The system includes an equipment maintenance case cloud library search module, an equipment maintenance plan analysis module, and an equipment maintenance plan feedback module.

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