Equipment maintenance support simulation evaluation method and system

Abstract

The invention belongs to the technical field of equipment maintenance support, and discloses an equipment maintenance support simulation evaluation method and system. According to the method, the historical maintenance support simulation model is established, the maintenance support capability evaluation condition and the maintenance support efficiency evaluation condition corresponding to the target equipment maintenance support operation are analyzed, the equipment maintenance rule can be deeply excavated, the maintenance support capability can be accurately evaluated, and a basis is provided for optimizing the maintenance process and improving the efficiency. And meanwhile, the input and output of maintenance resources can be comprehensively considered through the simulation model, reasonable allocation of resources is facilitated, and waste is avoided. According to the method, the equipment structure operation simulation model is established, the equipment operation quality abnormal adjustment factor of the target equipment is analyzed, and the maintenance support operation comprehensive evaluation condition corresponding to the maintenance support operation of the target equipment is corrected, so that the maintenance demand can be accurately evaluated, the pertinence of the maintenance strategy is improved, and the maintenance efficiency is improved. Personalized schemes are formulated according to the actual conditions of equipment, and the equipment reliability is enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment maintenance and support, and relates to an equipment maintenance and support simulation evaluation method and system. Background Art

[0002] Equipment maintenance and support refers to the comprehensive range of technical, management, and resource support activities undertaken to maintain or restore equipment to its specified condition. In military operations, equipment maintenance and support are directly linked to the success or failure of combat missions. Reliable maintenance and support ensures that weapons and equipment remain in excellent condition on the battlefield, ready for combat readiness and mission completion.

[0003] Equipment maintenance and support simulation can optimize resource allocation, rationally arrange maintenance personnel, accurately allocate tools, equipment, and spare parts inventories, and avoid resource waste and shortages. Furthermore, it can predict failures and maintenance and support risks in advance, facilitating preventative measures. Therefore, research based on equipment maintenance and support simulation evaluation is of great significance.

[0004] Existing technologies for equipment maintenance and support simulation assessments typically only involve the simulation and assessment of equipment maintenance and support capabilities, lacking analysis of abnormal adjustment factors for the operational quality of different equipment. This may have several drawbacks: On the one hand, this analysis method may limit the accuracy of the assessment results because it does not consider the impact of individual equipment differences, operating environment, and usage history on operational quality, resulting in a disconnect between the assessment and reality. On the other hand, this analysis method may lead to poor adaptability of maintenance and support strategies, making it difficult to formulate and dynamically adjust strategies for abnormal situations of different equipment. On the other hand, this analysis method may lead to irrational resource allocation, easily resulting in waste or insufficient maintenance resources, which in turn leads to poor cost control, inability to accurately match maintenance resources, and increased costs. Summary of the Invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a method and system for equipment maintenance support simulation evaluation are proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention proposes an equipment maintenance and support simulation evaluation method, including: S1, establishing a historical maintenance and support simulation model: constructing a historical maintenance and support simulation model of the target equipment based on the historical operation records and historical maintenance records of the target equipment.

[0007] S2. Maintenance support capability simulation analysis: Simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment to obtain the average maintenance time, resource utilization, and component turnover rate corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support capability evaluation corresponding to the maintenance support operations of the target equipment.

[0008] S3. Maintenance support effectiveness simulation analysis: Simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the mission success rate and mission timeliness index corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment.

[0009] S4. Establishment of equipment structure operation simulation model: Constructing the equipment structure operation simulation model of the target equipment according to the geometric structure, material properties and working principle of the target equipment.

[0010] S5. Analysis of equipment operation quality abnormality adjustment factors: Perform equipment operation quality simulation based on the equipment structure operation simulation model of the target equipment to obtain the operation quality data of the target equipment, including the average failure interval and average total working time of the equipment, and analyze the equipment operation quality abnormality adjustment factors of the target equipment.

[0011] S6. Comprehensive evaluation of equipment maintenance and support simulation: Analyze the comprehensive evaluation of maintenance and support operations corresponding to the maintenance and support operations of the target equipment.

[0012] S7. Identification of maintenance and support anomaly direction: Based on the maintenance and support operation evaluation of the target equipment maintenance and support operation, determine whether there is an anomaly in the maintenance and support operation of the target equipment. If so, further identify the specific anomaly direction.

[0013] The second aspect of the present invention proposes an equipment maintenance support simulation evaluation system, including: a historical maintenance support simulation model establishment module, which is used to construct a historical maintenance support simulation model of the target equipment based on the historical operation records and historical maintenance records of the target equipment.

[0014] The maintenance support capability simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support capability evaluation corresponding to the maintenance support operations of the target equipment.

[0015] The maintenance support effectiveness simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the task success rate and task timeliness index corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment.

[0016] The equipment structure operation simulation model establishment module is used to build the equipment structure operation simulation model of the target equipment according to the geometric structure, material properties and working principle of the target equipment.

[0017] The equipment operation quality abnormality adjustment factor analysis module is used to simulate the equipment operation quality based on the equipment structure operation simulation model of the target equipment, obtain the operation quality data of the target equipment, specifically including the average failure interval time and the average total working time of the equipment, and analyze the equipment operation quality abnormality adjustment factor of the target equipment.

[0018] The equipment maintenance support simulation comprehensive evaluation module is used to analyze the comprehensive evaluation of the maintenance support operations corresponding to the target equipment maintenance support operations.

[0019] The maintenance support abnormality direction identification module is used to determine whether there is an abnormality in the maintenance support operation of the target equipment based on the maintenance support operation evaluation corresponding to the maintenance support operation of the target equipment, and if so, further identify the specific abnormality direction.

[0020] Compared with the existing technology, the beneficial effects of the present invention are as follows: (1) The present invention establishes a historical maintenance support simulation model, and then analyzes the maintenance support capability evaluation and maintenance support efficiency evaluation corresponding to the maintenance support operation of the target equipment. This analysis method can deeply explore the equipment maintenance rules, accurately evaluate the maintenance support capability, and provide a basis for optimizing the maintenance process and improving efficiency. At the same time, the simulation model can comprehensively consider the input and output of maintenance resources, evaluate the maintenance support efficiency from multiple dimensions such as manpower, material resources, and time costs, help to reasonably allocate resources, avoid waste, obtain maximum equipment availability with minimum investment, and improve the overall support level.

[0021] (2) The present invention establishes an equipment structure operation simulation model and then analyzes the equipment operation quality abnormality adjustment factor of the target equipment. Based on this, the comprehensive evaluation of the maintenance support operation corresponding to the target equipment maintenance support operation is corrected. This analysis method can accurately assess maintenance needs, gain in-depth insights into equipment operation details, accurately locate the root cause of abnormalities, and rationally allocate resources to avoid waste or shortages. At the same time, it can improve the pertinence of maintenance strategies, formulate personalized plans based on the actual status of equipment, enhance equipment reliability, and enhance the scientific nature of maintenance support decision-making, reduce decision-making risks, optimize support processes, and comprehensively improve support efficiency and benefits.

[0022] (3) The present invention determines whether there are any abnormalities in the maintenance and support operations of target equipment based on the maintenance and support operation evaluation results corresponding to the maintenance and support operations of the target equipment. This analysis method can promptly detect potential problems, quickly capture abnormal signals, and resolve them before the problems worsen, thereby ensuring the normal operation of the equipment. Secondly, it is conducive to optimizing the maintenance and support process, conducting in-depth analysis of abnormalities, improving maintenance efficiency and equipment reliability, and promptly correcting abnormalities to ensure the quality of equipment maintenance, so that it can stably perform its performance and reduce the probability of failure.

[0023] (4) When the present invention determines that there is an abnormality in the maintenance and support operation of the target equipment, it further identifies the specific abnormality direction. This analysis method can accurately locate the root cause of the problem and avoid blind investigation. At the same time, it helps to improve the maintenance and support system. By analyzing specific abnormalities, system loopholes are discovered and improved, the overall support capability is enhanced, the probability of future abnormalities is reduced, and the equipment maintenance and support work is ensured to be carried out stably and efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 Schematic diagram of the steps of the method of the present invention.

[0026] Figure 2 This is a schematic diagram of the connection of various modules of the system of the present invention.

[0027] Figure 3 A flowchart for determining whether there is an abnormality in the maintenance and support operation of target equipment corresponding to an embodiment provided by the present invention. DETAILED DESCRIPTION

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0029] See also Figure 1 As shown, the first aspect of the present invention provides an equipment maintenance support simulation evaluation method, including: S1, establishing a historical maintenance support simulation model: constructing a historical maintenance support simulation model of the target equipment according to the historical operation records and historical maintenance records of the target equipment.

[0030] It should be noted that the construction process of the historical maintenance support simulation model is as follows: 1. Data collection: Comprehensively obtain the historical operation and maintenance records of the target equipment. The historical operation records include information such as the equipment's operating time and failure occurrence time. The historical maintenance records include historical maintenance time, maintenance personnel, maintenance resources used, and replaced parts.

[0031] 2. Model Construction: Based on collected historical operation and maintenance records, a model is constructed using professional modeling methods and tools. Data is collated and analyzed, and statistical analysis methods are used to determine the probability distribution of equipment failures and the distribution patterns of repair times. During modeling, various types of equipment operation and maintenance data are integrated to simulate the equipment's maintenance and support processes under different circumstances. This creates a simulation model that truly reflects the historical maintenance and support status of the target equipment.

[0032] For example, the target equipment may be a fighter jet, a tank, an infantry fighting vehicle, etc. The modeling tool may be SolidWorks.

[0033] S2. Maintenance support capability simulation analysis: Simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment to obtain the average maintenance time, resource utilization, and component turnover rate corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support capability evaluation corresponding to the maintenance support operations of the target equipment.

[0034] In a preferred embodiment of the present invention, the specific method for obtaining the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance and support operations of the target equipment is as follows: the maintenance end time and maintenance start time corresponding to each maintenance and support operation simulation process are obtained, and then the difference calculation is performed to obtain the maintenance time corresponding to each maintenance and support operation simulation, and the maintenance time corresponding to each maintenance and support operation simulation is averaged to obtain the average maintenance time corresponding to the maintenance and support operations of the target equipment.

[0035] The simulation results corresponding to each maintenance and support operation simulation process are obtained, and then the actual working hours of each resource corresponding to each maintenance and support operation simulation process are further obtained. The actual working hours of each resource corresponding to each maintenance and support operation simulation process are respectively ratio-calculated with the corresponding pre-set reference working hours to obtain the resource utilization rate of each resource corresponding to each maintenance and support operation simulation process, and then the average calculation is performed to obtain the resource utilization rate corresponding to the maintenance and support operation of the target equipment.

[0036] Extract the replacement parts corresponding to each accessory replacement operation in each maintenance and support operation simulation process, and then sum the replacement operations corresponding to the same parts to obtain the usage quantity of each part corresponding to the maintenance and support operation simulation process. Then, calculate the ratio with the reference inventory quantity of each part to obtain the part turnover rate of each part corresponding to the maintenance and support operation simulation process, and then perform the mean calculation to obtain the part turnover rate corresponding to the maintenance and support operation of the target equipment.

[0037] In a preferred embodiment of the present invention, the analysis of the maintenance support capability evaluation of the target equipment maintenance support operation requires the construction of a maintenance support capability evaluation index corresponding to the target equipment maintenance support operation. The specific method is as follows: extract the average maintenance time, resource utilization rate and component turnover rate corresponding to the target equipment maintenance support operation, and record them as 、 、 .

[0038] Using the formula Analyze and obtain the maintenance support capability evaluation index corresponding to the target equipment maintenance support operation ,in Indicates the preset reference average maintenance time. Indicates the preset reference resource utilization. represents the preset reference component turnover rate, Indicates the permissible difference between the preset resource utilization and the reference resource utilization.

[0039] It should be explained that the formula corresponding to the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment obtained from the above analysis is: 1. Reflects the relationship between the average maintenance time and the reference value. The shorter the time, the greater the ratio, indicating better performance in terms of maintenance time and greater positive contribution to the maintenance support capability evaluation index. Reflects the resource utilization. When the actual resource utilization The closer to the reference resource utilization When the ratio is larger, the effect on improving the maintenance support capability evaluation index is more obvious. It plays a role in regulating the impact of resource utilization deviating from the reference value. 3. Indicates the comparison of component turnover rate with reference value. The higher the ratio, the greater the value, which means the better the performance in terms of parts turnover, and has a positive impact on the maintenance support capability evaluation index. Finally, through the hyperbolic tangent function The sum of the above three parts is processed and the result is limited to a certain range, so as to obtain the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment. , used to comprehensively evaluate maintenance support capabilities.

[0040] It should be noted that the reasons for selecting average maintenance time, resource utilization, and parts turnover rate as factors influencing the maintenance support capability evaluation index corresponding to the target equipment's maintenance support operations are: average maintenance time directly reflects maintenance efficiency and affects equipment availability. Short maintenance time means rapid repairs, which improves equipment utilization. Resource utilization is related to the rational allocation of resources and cost control. High utilization rates indicate that human, material, and financial resources are not wasted, thus reducing costs and increasing efficiency. Parts turnover rate reflects the level of spare parts management and the smoothness of maintenance support. A high turnover rate ensures the timely supply of spare parts, avoids backlogs or stockouts, and ensures consistent and efficient maintenance. These three factors work together to comprehensively evaluate maintenance support capabilities.

[0041] It should be noted that the reference average maintenance time, reference resource utilization rate, and reference parts turnover rate are set based on: First, historical data statistics. By analyzing the past maintenance and support operation data of the target equipment, the average value of each indicator is obtained to reflect the past level. Second, industry standards, which draw on the indicators of similar equipment in the same industry and are formulated by authoritative institutions or leading companies, are authoritative. Third, equipment performance and design expectations are set according to the equipment's own characteristics and the expectations for maintenance and support during design. Precision equipment has higher requirements. Fourth, corporate strategy and management goals. Companies set them based on their own strategic planning and management needs. Companies that pursue efficient services will set stricter reference values. These bases together help to reasonably set reference values to evaluate maintenance and support capabilities.

[0042] S3. Maintenance support effectiveness simulation analysis: Simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the mission success rate and mission timeliness index corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment.

[0043] In a preferred embodiment of the present invention, the specific method for obtaining the task success rate and task timeliness index corresponding to the maintenance and support operations of the target equipment is as follows: extracting the simulation results corresponding to each maintenance and support operation simulation process, obtaining the task completion status judgment result corresponding to each maintenance and support operation simulation, counting the number of maintenance and support operation simulation processes judged to be successful, and calculating the ratio of the number of maintenance and support operation simulation processes judged to be successful to the total number of maintenance and support operation simulation processes to obtain the task success rate corresponding to the maintenance and support operations of the target equipment.

[0044] Extract the simulation results corresponding to each maintenance and support operation simulation process, obtain the maintenance demand instruction issuance time and maintenance personnel arrival time corresponding to each maintenance and support operation simulation, calculate the difference between the maintenance personnel arrival time and the maintenance demand instruction issuance time corresponding to each maintenance and support operation simulation, and obtain the personnel response time corresponding to each maintenance and support operation simulation. Calculate the ratio of the personnel response time corresponding to each maintenance and support operation simulation to the reference personnel response time, and then take the inverse to obtain the task timeliness index corresponding to each maintenance and support operation simulation. Then perform the average calculation to obtain the task timeliness index corresponding to the maintenance and support operation of the target equipment.

[0045] In a preferred embodiment of the present invention, the analysis of the maintenance support effectiveness evaluation of the target equipment maintenance support operation requires the construction of a maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operation. The specific method is as follows: extract the task success rate and task timeliness index corresponding to the target equipment maintenance support operation, which are recorded as 、 .

[0046] Using the formula Analyze and obtain the maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operation ,in represents the preset reference task success rate, represents the preset reference task timeliness index, Represents a natural constant.

[0047] It should be noted that the reasons for selecting mission success rate and mission timeliness index as factors influencing the maintenance support effectiveness evaluation index corresponding to target equipment maintenance support operations are: 1. The mission success rate directly reflects the quality and effectiveness of maintenance support operations. A high mission success rate indicates that maintenance support efforts can effectively resolve equipment failures and issues, restoring the equipment to normal operating conditions and meeting operational requirements. For example, in military equipment maintenance, a high mission success rate ensures that equipment is ready for combat at any time, significantly impacting combat effectiveness. Conversely, a low success rate indicates problems with maintenance work, such as insufficient technical skills or a poor spare parts supply, which can impact equipment reliability and availability.

[0048] 2. The Mission Timeliness Index reflects the timeliness of maintenance and support operations. In practical applications, rapid response and repair are crucial when equipment malfunctions occur. Shorter repair times can reduce equipment downtime and mitigate the impact on production, operations, and other activities. For example, in the civil aviation sector, the timeliness of aircraft malfunction repairs directly impacts flight schedules and operational efficiency. Timeliness also reflects the emergency response capabilities and resource allocation efficiency of the maintenance and support system.

[0049] It should be noted that the analysis above obtains the relationship between the maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operation and the corresponding formula: 1. Part: Reflects the relationship between the mission success rate and the reference value. The higher the actual mission success rate, the larger the ratio, indicating better performance in mission success and a greater positive contribution to the maintenance support effectiveness evaluation index.

[0050] 2. Part 1: This section compares task timeliness with the reference value. The higher the actual task timeliness index, the larger the ratio, indicating better performance in task timeliness, which also has a positive impact on the maintenance support effectiveness evaluation index.

[0051] Overall, The larger the value of The smaller the value of The larger the value is, the higher the maintenance support effectiveness evaluation index is, indicating that the overall performance of the maintenance support operation in terms of mission success rate and mission timeliness is better.

[0052] It should be noted that this invention establishes a historical maintenance support simulation model to analyze the maintenance support capability and maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment. This analysis method can deeply explore the maintenance patterns of equipment and accurately evaluate maintenance support capabilities, providing a basis for optimizing maintenance processes and improving efficiency. At the same time, the simulation model can comprehensively consider the input and output of maintenance resources, evaluate maintenance support effectiveness from multiple dimensions such as human, material, and time costs, and help rationally allocate resources, avoid waste, obtain maximum equipment availability with minimum investment, and improve the overall support level.

[0053] S4. Establishment of equipment structure operation simulation model: Constructing the equipment structure operation simulation model of the target equipment according to the geometric structure, material properties and working principle of the target equipment.

[0054] It should be noted that the method for constructing the target equipment's equipment structure and operation simulation model is as follows: based on the target equipment's design documents, the target equipment's overall dimensions, the shapes of its components, the relative positions, and the connection methods are obtained; characteristic parameters of the materials used for each component, such as density, elastic modulus, hardness, and thermal expansion coefficient, are collected; and then, based on the collected geometric structure, material properties, and operating principle information, the target equipment's equipment structure and operation simulation model is constructed using appropriate modeling software or tools. For example, the modeling software may be SolidWorks.

[0055] S5. Analysis of equipment operation quality abnormality adjustment factors: Perform equipment operation quality simulation based on the equipment structure operation simulation model of the target equipment to obtain the operation quality data of the target equipment, including the average failure interval and average total working time of the equipment, and analyze the equipment operation quality abnormality adjustment factors of the target equipment.

[0056] In a preferred embodiment of the present invention, the specific method of analyzing the equipment operation quality abnormality adjustment factor of the target equipment is as follows: extract the average failure interval time and average total working time of the target equipment, respectively recorded as 、 .

[0057] It should be added that the method for obtaining the average failure interval duration and the average total working time of the target equipment is: 1. Extract the simulation results corresponding to the operation quality simulation process of each equipment, obtain the failure time of each failure corresponding to the operation quality simulation process of each equipment, calculate the difference between the failure time of each failure and the failure time corresponding to the previous failure to obtain the failure interval duration of each failure, and then calculate the average of the failure interval duration corresponding to each failure of the operation quality simulation process of each equipment to obtain the average failure interval duration corresponding to the operation quality simulation process of each equipment, and then perform the average calculation again to obtain the average failure interval duration of the target equipment.

[0058] 2. Extract the simulation results corresponding to the operation quality simulation process of each equipment, obtain the failure time and failure repair completion time of each failure corresponding to the operation quality simulation process of each equipment, calculate the difference between the failure time of each failure and the failure repair completion time corresponding to the previous failure to obtain the operation time of each operation operation, and then sum up the operation time of each operation operation corresponding to the operation quality simulation process of each equipment to obtain the total working time corresponding to the operation quality simulation process of each equipment, and then calculate the average of the total working time corresponding to the operation quality simulation process of each equipment to obtain the average total working time of the target equipment.

[0059] Using the formula Analyze and obtain the equipment operation quality abnormality adjustment factor of the target equipment ,in Indicates the preset reference mean time between failures. Indicates the preset reference average total working time.

[0060] It should be noted that the reasons for selecting the mean time between failures and the average total working time as the influencing factors of the equipment operation quality abnormality adjustment factor of the target equipment are: 1. The mean time between failures is a key indicator for measuring equipment reliability. The longer it is, the longer the average uptime between two failures of the equipment is, and the higher the reliability is. For example, in server equipment, High means that the server can run stably for a long time, reducing business interruptions caused by failures. , it can be determined whether the equipment has potential failure risk. If A significant shortening may indicate a quality problem with the equipment, which requires prompt investigation.

[0061] 2. The average total working time reflects the intensity of equipment use and life consumption. Equipment that works continuously for a long time will have more prominent problems such as wear and aging of its parts. For example, machines on industrial production lines, If it is too long, even if there is no fault at present, it may be close to the life limit due to excessive use. As an influencing factor, it can comprehensively consider the impact of the equipment's usage history on operational quality, reasonably evaluate the equipment's health status, and provide a basis for maintenance and replacement.

[0062] S6. Comprehensive evaluation of equipment maintenance and support simulation: Analyze the comprehensive evaluation of maintenance and support operations corresponding to the maintenance and support operations of the target equipment.

[0063] In a preferred embodiment of the present invention, the analysis of the comprehensive evaluation of the maintenance support operations corresponding to the maintenance support operations of the target equipment requires constructing a comprehensive evaluation index of the maintenance support operations corresponding to the maintenance support operations of the target equipment. The specific method is as follows: extracting the maintenance support capability evaluation index and the maintenance support effectiveness evaluation index corresponding to the maintenance support operations of the target equipment, and then summing them according to the weights to obtain an initial comprehensive evaluation index of the maintenance support operations corresponding to the maintenance support operations of the target equipment. The initial comprehensive evaluation index of the maintenance support operations corresponding to the maintenance support operations of the target equipment is then multiplied by the equipment operation quality abnormality adjustment factor of the target equipment to obtain a correction value of the comprehensive evaluation index of the maintenance support operations corresponding to the maintenance support operations of the target equipment.

[0064] The comprehensive evaluation index of the maintenance support operation corresponding to the maintenance support operation of the target equipment is calculated by summing the correction value of the comprehensive evaluation index of the maintenance support operation corresponding to the maintenance support operation of the target equipment and the initial comprehensive evaluation index of the maintenance support operation.

[0065] It should be noted that this invention establishes an equipment structure operation simulation model, analyzes the equipment operation quality anomaly adjustment factor of the target equipment, and based on this, corrects the comprehensive evaluation of the maintenance support operations corresponding to the target equipment. This analysis method can accurately assess maintenance needs, gain deep insight into equipment operation details, accurately locate the root cause of anomalies, and rationally allocate resources to avoid waste or shortages. At the same time, it can improve the targeted maintenance strategy, formulate personalized plans based on the actual condition of the equipment, enhance equipment reliability, and enhance the scientific nature of maintenance support decision-making, reduce decision-making risks, optimize the support process, and comprehensively improve support efficiency and benefits.

[0066] S7. Identification of maintenance and support anomaly direction: Based on the maintenance and support operation evaluation of the target equipment maintenance and support operation, determine whether there is an anomaly in the maintenance and support operation of the target equipment. If so, further identify the specific anomaly direction.

[0067] See also Figure 3 As shown, in a preferred embodiment of the present invention, the specific method of determining whether there is an abnormality in the maintenance and support operation of the target equipment is as follows: extracting the maintenance and support operation comprehensive evaluation index corresponding to the maintenance and support operation of the target equipment, and then comparing it with a preset maintenance and support operation comprehensive evaluation index threshold; if the maintenance and support operation comprehensive evaluation index is less than the maintenance and support operation comprehensive evaluation index threshold, it is determined that there is an abnormality in the maintenance and support operation of the target equipment; otherwise, it is determined that there is no abnormality in the maintenance and support operation of the target equipment.

[0068] It should be noted that the thresholds for the comprehensive evaluation index of maintenance support operations are based on: first, historical data. The distribution of the comprehensive evaluation index for a large number of maintenance operations was analyzed, and the thresholds were set within a common range of values. Second, industry standards were considered. Authoritative specifications for similar equipment in the same industry were translated into thresholds. Third, factors such as the equipment's performance, importance, and operating environment were considered. For example, critical equipment has high requirements and strict thresholds, while ordinary civilian equipment has more relaxed thresholds. Finally, corporate goals and management needs also play a role. Companies pursuing high-quality service set lower thresholds, while companies focusing on cost control can appropriately raise thresholds while ensuring basic quality. These combined considerations help to appropriately set thresholds to determine whether maintenance support operations are abnormal.

[0069] For example, the comprehensive evaluation index threshold of maintenance support operation is .

[0070] It should be noted that the present invention determines whether there are any anomalies in the maintenance and support operations of target equipment based on the corresponding maintenance and support operation evaluation results. This analysis method can promptly detect potential problems, quickly capture abnormal signals, and resolve them before they escalate, ensuring the normal operation of the equipment. Secondly, it helps optimize the maintenance and support process, conduct in-depth analysis of anomalies, improve maintenance efficiency and equipment reliability, and promptly correct anomalies, ensuring the quality of equipment maintenance, ensuring stable performance, and reducing the probability of failure.

[0071] In a preferred embodiment of the present invention, the specific method of identifying a specific abnormal direction is as follows: extracting the maintenance support capability evaluation index and the maintenance support effectiveness evaluation index corresponding to the maintenance support operation of the target equipment, and then comparing them with the pre-set maintenance support capability evaluation index threshold and the maintenance support effectiveness evaluation index threshold, respectively, to further identify the specific abnormal direction.

[0072] It should be added that if the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment is less than the maintenance support capability evaluation index threshold, the specific abnormality is identified as a maintenance support capability abnormality.

[0073] If the maintenance support efficiency evaluation index corresponding to the maintenance support operation of the target equipment is less than the maintenance support efficiency evaluation index threshold, the specific abnormality is identified as a maintenance support efficiency abnormality.

[0074] It should be noted that the specific abnormality may be one or both of abnormality in maintenance support capability and abnormality in maintenance support effectiveness.

[0075] It should be noted that the present invention further identifies the specific anomaly when determining that a maintenance and support operation of the target equipment is abnormal. This analysis method can accurately locate the root cause of the problem and avoid blind investigation. It also helps to improve the maintenance and support system. By analyzing specific anomalies, system vulnerabilities can be discovered and improved, thereby enhancing overall support capabilities, reducing the probability of future anomalies, and ensuring the stable and efficient operation of equipment maintenance and support work.

[0076] It should be noted that the thresholds for the maintenance support capability evaluation index and the maintenance support effectiveness evaluation index are set based on historical data and experience, analyzing past maintenance data and actual experience to determine reasonable threshold ranges. Regarding industry standards and specifications, authoritative standards from the same industry are referenced to ensure that maintenance support levels meet industry requirements. Based on equipment performance and requirements, high-performance precision equipment, for example, has strict thresholds due to its high maintenance support requirements, while standard equipment has more relaxed thresholds. Corporate strategy and goals also have an impact. Companies pursuing high-quality service set low thresholds to facilitate timely problem detection, while cost-effective companies can appropriately raise thresholds while ensuring quality. These combined considerations facilitate the scientific setting of thresholds and the accurate assessment of maintenance support.

[0077] For example, the maintenance support capability evaluation index threshold is , the maintenance support effectiveness evaluation index threshold is .

[0078] See also Figure 2As shown, the second aspect of the present invention provides an equipment maintenance and support simulation evaluation system, including a historical maintenance and support simulation model establishment module, a maintenance and support capability simulation analysis module, a maintenance and support effectiveness simulation analysis module, an equipment structure operation simulation model establishment module, an equipment operation quality abnormality adjustment factor analysis module, an equipment maintenance and support simulation comprehensive evaluation module and a maintenance and support abnormality direction identification module, wherein the historical maintenance and support simulation model establishment module is respectively connected to the maintenance and support capability simulation analysis module and the maintenance and support effectiveness simulation analysis module, the equipment structure operation simulation model establishment module is connected to the equipment operation quality abnormality adjustment factor analysis module, the maintenance and support capability simulation analysis module, the maintenance and support effectiveness simulation analysis module and the equipment operation quality abnormality adjustment factor analysis module are all connected to the equipment maintenance and support simulation comprehensive evaluation module, and the equipment maintenance and support simulation comprehensive evaluation module is connected to the maintenance and support abnormality direction identification module.

[0079] The historical maintenance support simulation model building module is used to build a historical maintenance support simulation model of the target equipment according to the historical operation records and historical maintenance records of the target equipment.

[0080] The maintenance support capability simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support capability evaluation corresponding to the maintenance support operations of the target equipment.

[0081] The maintenance support effectiveness simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the task success rate and task timeliness index corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment.

[0082] The equipment structure operation simulation model building module is used to build an equipment structure operation simulation model of the target equipment according to the geometric structure, material properties and working principle of the target equipment.

[0083] The equipment operation quality abnormality adjustment factor analysis module is used to simulate the equipment operation quality based on the equipment structure operation simulation model of the target equipment, obtain the operation quality data of the target equipment, specifically including the equipment average failure interval time and average total working time, and analyze the equipment operation quality abnormality adjustment factor of the target equipment.

[0084] The equipment maintenance support simulation comprehensive evaluation module is used to analyze the comprehensive evaluation of the maintenance support operation corresponding to the maintenance support operation of the target equipment.

[0085] The maintenance support abnormality direction identification module is used to determine whether there is an abnormality in the maintenance support operation of the target equipment based on the maintenance support operation evaluation situation corresponding to the maintenance support operation of the target equipment, and if so, further identify the specific abnormality direction.

[0086] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A simulation evaluation method for equipment maintenance support, characterized in that: include: S1. Establishment of historical maintenance support simulation model: Construct a historical maintenance support simulation model based on the historical operation records and historical maintenance records of the target equipment; S2. Maintenance support capability simulation analysis: Through maintenance support operation simulation, the average maintenance time, resource utilization rate and component turnover rate of target equipment are obtained, and the maintenance support capability evaluation is analyzed; S3. Maintenance support effectiveness simulation analysis: Through maintenance support operation simulation, the corresponding mission success rate and mission timeliness index are obtained, and the maintenance support effectiveness evaluation is analyzed; S4. Establishment of equipment structure operation simulation model: Construct equipment structure operation simulation model based on the geometric structure, material properties and working principle of the target equipment; S5. Analysis of equipment operation quality abnormality adjustment factors: Based on the equipment structure operation simulation model, equipment operation quality simulation is performed to obtain the equipment's average failure interval and average total working time operation quality data, and analyze the equipment operation quality abnormality adjustment factors; S6. Comprehensive evaluation of equipment maintenance support simulation: Analyze the comprehensive evaluation of maintenance support operations corresponding to maintenance support operations; S7. Identification of maintenance and support anomaly direction: Based on the maintenance and support operation evaluation, determine whether there is an anomaly in the maintenance and support operation of the target equipment. If so, identify the specific anomaly direction.

2. The equipment maintenance support simulation evaluation method according to claim 1, characterized in that: The specific method for obtaining the average maintenance time, resource utilization rate, and component turnover rate corresponding to the maintenance support operation of the target equipment is as follows: Obtain the maintenance end time and maintenance start time corresponding to each maintenance support operation simulation process, and then perform difference calculation to obtain the maintenance time corresponding to each maintenance support operation simulation. Calculate the average of the maintenance time corresponding to each maintenance support operation simulation to obtain the average maintenance time corresponding to the maintenance support operation of the target equipment; Extract the simulation results corresponding to each maintenance and support operation simulation process, and then further obtain the actual working hours of each resource corresponding to each maintenance and support operation simulation process. Ratio calculation is performed on the actual working hours of each resource corresponding to each maintenance and support operation simulation process and the corresponding preset reference working hours to obtain the resource utilization rate of each resource corresponding to each maintenance and support operation simulation process. Then, the average calculation is performed to obtain the resource utilization rate corresponding to the maintenance and support operation of the target equipment. Obtain the replacement parts for each accessory replacement operation corresponding to each maintenance and support operation simulation process, and then sum up the replacement operations corresponding to the same parts to obtain the usage quantity of each part corresponding to the maintenance and support operation simulation process, and then calculate the ratio with the reference inventory quantity of each part to obtain the part turnover rate of each part corresponding to the maintenance and support operation simulation process, and then perform the mean calculation to obtain the part turnover rate corresponding to the maintenance and support operation of the target equipment.

3. The equipment maintenance support simulation evaluation method according to claim 1, characterized in that: The analysis of the maintenance support capability evaluation of the target equipment maintenance support operation requires the construction of a maintenance support capability evaluation index corresponding to the target equipment maintenance support operation, and the specific method is as follows: The average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operation of the target equipment are extracted and recorded as 、 、 ; according to 、 and After normalization processing, the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment is obtained by fusion calculation .

4. The equipment maintenance support simulation evaluation method according to claim 1, characterized in that: The specific method of obtaining the mission success rate and mission timeliness index corresponding to the target equipment maintenance support operation is as follows: Extract the simulation results corresponding to each maintenance and support operation simulation process, obtain the task completion judgment result corresponding to each maintenance and support operation simulation, count the number of maintenance and support operation simulation processes judged to be successful, and calculate the ratio of the number of maintenance and support operation simulation processes judged to be successful to the total number of maintenance and support operation simulation processes to obtain the task success rate corresponding to the maintenance and support operation of the target equipment; Extract the simulation results corresponding to each maintenance and support operation simulation process, obtain the maintenance demand instruction issuance time and maintenance personnel arrival time corresponding to each maintenance and support operation simulation, calculate the difference between the maintenance personnel arrival time and the maintenance demand instruction issuance time corresponding to each maintenance and support operation simulation, and obtain the personnel response time corresponding to each maintenance and support operation simulation. Calculate the ratio of the personnel response time corresponding to each maintenance and support operation simulation to the reference personnel response time, and then take the inverse to obtain the task timeliness index corresponding to each maintenance and support operation simulation. Then, perform the average calculation to obtain the task timeliness index corresponding to the maintenance and support operation of the target equipment.

5. The equipment maintenance support simulation evaluation method according to claim 3, characterized in that: The analysis of the maintenance support effectiveness evaluation of the target equipment maintenance support operation requires the construction of a maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operation, and the specific method is as follows: Extract the mission success rate and mission timeliness index corresponding to the target equipment maintenance support operation, which are recorded as 、 ; according to 、 、 and Analyze and obtain the maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operation ,in represents the preset reference task success rate, Represents the preset reference task timeliness index.

6. The equipment maintenance support simulation evaluation method according to claim 5, characterized in that: The specific method of analyzing the equipment operation quality abnormality adjustment factor of the target equipment is as follows: Extract the mean time between failures and the average total working time of the target equipment, which are recorded as 、 ; pass 、 、 and Fusion calculation to obtain the equipment operation quality abnormality adjustment factor of the target equipment ,in Indicates the preset reference mean time between failures. Indicates the preset reference average total working time.

7. The equipment maintenance support simulation evaluation method according to claim 6, characterized in that: The analysis of the comprehensive evaluation of the maintenance support operations corresponding to the maintenance support operations of the target equipment requires the construction of a comprehensive evaluation index of the maintenance support operations corresponding to the maintenance support operations of the target equipment, and the specific method is as follows: Extract the maintenance support capability evaluation index and maintenance support effectiveness evaluation index corresponding to the maintenance support operation of the target equipment, and then sum them according to the weight to obtain the initial maintenance support operation comprehensive evaluation index corresponding to the maintenance support operation of the target equipment. Then multiply it with the equipment operation quality abnormality adjustment factor of the target equipment to obtain the correction value of the maintenance support operation comprehensive evaluation index corresponding to the maintenance support operation of the target equipment. The comprehensive evaluation index of the maintenance support operation corresponding to the maintenance support operation of the target equipment is calculated by summing the correction value of the comprehensive evaluation index of the maintenance support operation corresponding to the maintenance support operation of the target equipment and the initial comprehensive evaluation index of the maintenance support operation.

8. The equipment maintenance support simulation evaluation method according to claim 7, characterized in that: The specific method for determining whether there is an abnormality in the maintenance and support operation of the target equipment is as follows: The comprehensive evaluation index of the maintenance support operation corresponding to the maintenance support operation of the target equipment is extracted and then compared with the preset comprehensive evaluation index threshold of the maintenance support operation. If the comprehensive evaluation index of the maintenance support operation is less than the comprehensive evaluation index threshold of the maintenance support operation, it is judged that there is an abnormality in the maintenance support operation of the target equipment. Otherwise, it is judged that there is no abnormality in the maintenance support operation of the target equipment.

9. The equipment maintenance support simulation evaluation method according to claim 7, characterized in that: The specific method of identifying the specific abnormal direction is as follows: The maintenance support capability evaluation index and maintenance support effectiveness evaluation index corresponding to the maintenance support operation of the target equipment are extracted, and then compared with the pre-set maintenance support capability evaluation index threshold and maintenance support effectiveness evaluation index threshold respectively, so as to identify the specific abnormal direction.

10. An equipment maintenance support simulation evaluation system, characterized by: include: A historical maintenance support simulation model building module is used to build a historical maintenance support simulation model of the target equipment based on the historical operation records and historical maintenance records of the target equipment; The maintenance support capability simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support capability evaluation corresponding to the maintenance support operations of the target equipment; The maintenance support effectiveness simulation analysis module is used to simulate maintenance support operations based on the historical maintenance support simulation model of the target equipment, obtain the task success rate and task timeliness index corresponding to the maintenance support operations of the target equipment, and analyze the maintenance support effectiveness evaluation corresponding to the maintenance support operations of the target equipment; Equipment structure operation simulation model establishment module, used to build the equipment structure operation simulation model of the target equipment according to the geometric structure, material properties and working principle of the target equipment; The equipment operation quality abnormality adjustment factor analysis module is used to simulate the equipment operation quality based on the equipment structure operation simulation model of the target equipment, obtain the operation quality data of the target equipment, specifically including the equipment's mean time between failures and average total working time, and analyze the equipment operation quality abnormality adjustment factor of the target equipment; Equipment maintenance support simulation comprehensive evaluation module, used to analyze the comprehensive evaluation of maintenance support operations corresponding to the target equipment maintenance support operations; The maintenance support abnormality direction identification module is used to determine whether there is an abnormality in the maintenance support operation of the target equipment based on the maintenance support operation evaluation corresponding to the maintenance support operation of the target equipment, and if so, further identify the specific abnormality direction.

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