A simulation evaluation method and system for equipment maintenance and support

Abstract

This invention belongs to the field of equipment maintenance and support technology, and discloses a simulation evaluation method and system for equipment maintenance and support. By establishing a historical maintenance and support simulation model, this invention analyzes the maintenance and support capability evaluation and maintenance and support effectiveness evaluation corresponding to the maintenance and support operations of the target equipment. This allows for in-depth exploration of equipment maintenance patterns, accurate assessment of maintenance and support capabilities, and provides a basis for optimizing maintenance processes and improving efficiency. Simultaneously, the simulation model can comprehensively consider the input and output of maintenance resources, helping to rationally allocate resources and avoid waste. Furthermore, by establishing an equipment structure and operation simulation model, this invention analyzes the equipment operation quality anomaly adjustment factors of the target equipment. Based on this, it corrects the comprehensive evaluation of the maintenance and support operations corresponding to the target equipment, accurately assessing maintenance needs, improving the pertinence of maintenance strategies, developing personalized solutions based on the actual equipment condition, and enhancing equipment reliability.

Description

Technical Field

[0001] This invention belongs to the field of equipment maintenance and support technology, and relates to a simulation evaluation method and system for equipment maintenance and support. Background Technology

[0002] Equipment maintenance and support refers to the sum of technical, managerial, and resource support activities undertaken to maintain or restore equipment to a specified condition. In military missions, equipment maintenance and support directly impacts the success or failure of combat operations. Reliable maintenance and support ensures that weapons and equipment remain in good condition on the battlefield, ready for immediate deployment and the completion of combat missions.

[0003] Equipment maintenance and support simulation can optimize resource allocation, rationally arrange maintenance personnel, and accurately allocate tools, equipment, and spare parts inventory, avoiding resource waste and shortages. Simultaneously, 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] Current technologies for equipment maintenance and support simulation assessments typically only involve simulating and evaluating the equipment's maintenance and support capabilities, lacking analysis of adjustment factors for anomalies in the operational quality of different equipment. This may have several drawbacks: First, this analytical approach may limit the accuracy of the assessment results, as it fails to consider the impact of individual equipment differences, operating environment, and usage history on operational quality, leading to a disconnect between the assessment and reality. Second, this analytical approach may result in poor adaptability of maintenance and support strategies, making it difficult to formulate and dynamically adjust strategies for anomalies in different equipment. Third, this analytical approach may lead to unreasonable resource allocation, easily causing waste or inadequacy of maintenance resources, resulting in poor cost control, inaccurate matching of maintenance resources, and increased costs. Summary of the Invention

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

[0006] The objective of this invention can be achieved through the following technical solution: The first aspect of this 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. Simulation Analysis of Maintenance Support Capability: Based on the historical maintenance support simulation model of the target equipment, the maintenance support operation is simulated to obtain the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operation of the target equipment, and the maintenance support capability evaluation corresponding to the maintenance support operation of the target equipment is analyzed.

[0008] S3. Simulation Analysis of Maintenance Support Efficiency: Based on the historical maintenance support simulation model of the target equipment, the maintenance support operation is simulated to obtain the task success rate and task timeliness index corresponding to the maintenance support operation of the target equipment, and the maintenance support efficiency evaluation of the maintenance support operation of the target equipment is analyzed.

[0009] S4. Establishment of equipment structure operation simulation model: Construct an equipment structure operation simulation model of the target equipment based on the geometric structure, material properties and working principle of the target equipment.

[0010] S5. Analysis of Equipment Operation Quality Anomaly Adjustment Factors: Based on the equipment structure operation simulation model of the target equipment, the equipment operation quality is simulated to obtain the operation quality data of the target equipment, specifically including the average fault interval and average total working time, and the equipment operation quality anomaly adjustment factors of the target equipment are analyzed.

[0011] S6. Comprehensive Evaluation of Equipment Maintenance and Support Simulation: Analyze the comprehensive evaluation of maintenance and support operations corresponding to the target equipment maintenance and support operations.

[0012] S7. Anomaly Identification in Maintenance Support: Based on the evaluation of maintenance support operations corresponding to the target equipment maintenance support operations, determine whether there are any anomalies in the target equipment maintenance support operations. If so, further identify the specific anomaly.

[0013] A second aspect of the present invention proposes an equipment maintenance and support simulation evaluation system, comprising: a historical maintenance and support simulation model building module, used to construct 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.

[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 of the maintenance support operations of the target equipment.

[0015] The maintenance support efficiency 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 efficiency evaluation of the maintenance support operations of the target equipment.

[0016] The equipment structure operation simulation model building module is used to construct an equipment structure operation simulation model of the target equipment based on the target equipment's geometry, material properties, and working principle.

[0017] The Equipment Operation Quality Anomaly 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 fault interval and average total working time, and analyze the equipment operation quality anomaly adjustment factors of the target equipment.

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

[0019] The maintenance and support anomaly identification module is used to determine whether there is an anomaly in the maintenance and support operation of the target equipment based on the evaluation of the maintenance and support operation corresponding to the target equipment maintenance and support operation. If there is an anomaly, it further identifies the specific anomaly.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention establishes a historical maintenance and support simulation model, and then analyzes the maintenance and support capability evaluation and maintenance and support efficiency evaluation of the target equipment maintenance and support operation. This analysis method can deeply explore the equipment maintenance rules, accurately evaluate the maintenance and 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 and support efficiency from multiple dimensions such as manpower, material resources, and time costs, help to rationally allocate resources, avoid waste, obtain the maximum equipment availability with the minimum input, and improve the overall support level.

[0021] (2) This invention establishes a simulation model of equipment structure operation, and then analyzes the adjustment factors of abnormal equipment operation quality of the target equipment. Based on this, it corrects the comprehensive evaluation of maintenance and support operations corresponding to the maintenance and support operations of the target equipment. This analysis method can accurately assess maintenance needs, deeply understand the details of equipment operation, accurately locate the root cause of abnormalities, rationally allocate resources, and avoid waste or shortages. At the same time, it can improve the pertinence of maintenance strategies, formulate personalized solutions based on the actual condition of the equipment, enhance equipment reliability, enhance the scientific nature of maintenance and support decisions, reduce decision-making risks, optimize support processes, and comprehensively improve support efficiency and effectiveness.

[0022] (3) This invention determines whether there are any abnormalities in the maintenance and support operations of the target equipment based on the evaluation of the maintenance and support operations corresponding to the maintenance and support operations of the target equipment. This analysis method can detect potential problems in a timely manner, quickly capture abnormal signals, and resolve problems before they worsen, 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, correcting abnormalities in a timely manner, ensuring the quality of equipment maintenance, enabling it to perform stably, and reducing the probability of failure.

[0023] (4) When the present invention determines that there is an anomaly in the maintenance and support operation of the target equipment, it further identifies the specific anomaly. 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 anomalies, system loopholes can be found and improved, the overall support capability can be enhanced, the probability of future anomalies can be reduced, and the stable and efficient operation of equipment maintenance and support work can be ensured. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram illustrating the implementation steps of the method of the present invention.

[0026] Figure 2 This is a schematic diagram showing the connections of the various modules in 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 the target equipment according to one embodiment of the present invention. Detailed Implementation

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Please see Figure 1 As shown, the first aspect of the present invention provides a simulation evaluation method for equipment maintenance and support, 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.

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

[0031] 2. Model Building: Based on collected historical operation and maintenance records, a model is built using professional modeling methods and tools. The data is organized and analyzed, and statistical analysis methods are used to determine the probability distribution of equipment failures and the distribution patterns of maintenance time. During modeling, various types of equipment operation and maintenance data are integrated to simulate the maintenance and support process of the equipment under different conditions. This results in the construction of a simulation model that realistically reflects the historical maintenance and support situation of the target equipment.

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

[0033] S2. Simulation Analysis of Maintenance Support Capability: Based on the historical maintenance support simulation model of the target equipment, the maintenance support operation is simulated to obtain the average maintenance time, resource utilization rate and component turnover rate corresponding to the maintenance support operation of the target equipment, and the maintenance support capability evaluation corresponding to the maintenance support operation of the target equipment is analyzed.

[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 operation of the target equipment is as follows: obtain the maintenance end time and maintenance start time corresponding to each maintenance and support operation simulation process, and then perform difference calculation to obtain the maintenance time corresponding to each maintenance and support operation simulation, and perform average calculation on the maintenance time corresponding to each maintenance and support operation simulation to obtain the average maintenance time corresponding to the maintenance and support operation of the target equipment.

[0035] The simulation results corresponding to each maintenance and support operation simulation process are obtained, and then the actual working time of each resource corresponding to each maintenance and support operation simulation process is obtained. The actual working time of each resource corresponding to each maintenance and support operation simulation process is compared with the corresponding pre-set reference working time to obtain the resource utilization rate of each resource corresponding to each maintenance and support operation simulation process. Then, the average value is calculated to obtain the resource utilization rate corresponding to the target equipment maintenance and support operation.

[0036] Extract the replacement parts for each part replacement operation corresponding to each maintenance and support operation simulation process, 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 finally calculate the average 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 corresponding to the target equipment maintenance support operation requires constructing 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 follows: , , .

[0038] Using formula Analysis yields the maintenance support capability evaluation index corresponding to the target equipment maintenance support operations. ,in This indicates the preset reference average repair time. This represents a pre-set reference resource utilization rate. This indicates a pre-set reference component turnover rate. This represents the permissible difference between the pre-set resource utilization rate and the reference resource utilization rate.

[0039] It should be explained that the formula for the maintenance support capability evaluation index corresponding to the target equipment maintenance support operation obtained from the above analysis is: 1. This reflects the relationship between the average repair time and the reference value. When the actual average repair time... The shorter the ratio, the larger it is, indicating better performance in terms of repair time and a greater positive contribution to the maintenance support capability evaluation index. 2. This reflects the resource utilization rate. When the actual resource utilization rate... The closer to the reference resource utilization rate At that time, the larger the ratio, the more significant the improvement in the maintenance and support capability evaluation index. It serves to adjust the degree of impact when resource utilization deviates from the reference value. 3. This indicates a comparison between the component turnover rate and a reference value. The higher the value, the larger the ratio, indicating better performance in component turnover and a positive impact on the maintenance and support capability evaluation index. Finally, the hyperbolic tangent function is used... The sum of the above three parts is processed, and the result is limited to a certain range to obtain the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment. This is used to comprehensively evaluate maintenance and support capabilities.

[0040] It should be noted that the reasons for choosing average repair time, resource utilization rate, and component turnover rate as influencing factors for the evaluation index of maintenance support capabilities for target equipment maintenance operations are as follows: Average repair time directly reflects maintenance efficiency and affects equipment availability; shorter repair times mean faster fault repair and improved equipment utilization. Resource utilization rate is related to the rational allocation of resources and cost control; high utilization rate indicates that human, material, and financial resources are not wasted, thus reducing costs and increasing efficiency. Component turnover rate reflects the level of spare parts management and the smoothness of maintenance support; high turnover rate ensures timely supply of spare parts, avoids backlog or shortages, and ensures continuous and efficient maintenance. The synergy of these three factors allows for a comprehensive evaluation of maintenance support capabilities.

[0041] It should be noted that the reference average maintenance time, reference resource utilization rate, and reference component turnover rate are set based on the following: First, historical data statistics, which are derived by analyzing past maintenance and support operation data of the target equipment to obtain the average value of each indicator, reflecting past performance. Second, industry-standard data, which are based on indicators of similar equipment in the same industry and are formulated by authoritative institutions or leading enterprises, ensuring their authority. Third, equipment performance and design expectations, which are set according to the characteristics of the equipment itself and the maintenance and support expectations during the design phase; precision equipment, for example, has higher requirements. Fourth, corporate strategy and management goals, which are set by enterprises based on their own strategic planning and management needs; enterprises pursuing efficient service will set more stringent reference values. These factors collectively contribute to the reasonable setting of reference values ​​to evaluate maintenance and support capabilities.

[0042] S3. Simulation Analysis of Maintenance Support Efficiency: Based on the historical maintenance support simulation model of the target equipment, the maintenance support operation is simulated to obtain the task success rate and task timeliness index corresponding to the maintenance support operation of the target equipment, and the maintenance support efficiency evaluation of the maintenance support operation of the target equipment is analyzed.

[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 operation of the target equipment is as follows: extract the simulation results corresponding to each maintenance and support operation simulation process, obtain the task completion judgment results corresponding to each maintenance and support operation simulation, count the number of maintenance and support operation simulation processes judged as successful, and calculate the task success rate corresponding to the maintenance and support operation of the target equipment by the ratio of the number of maintenance and support operation simulation processes judged as successful to the total number of maintenance and support operation simulation processes.

[0044] The simulation results corresponding to each maintenance support operation simulation process are extracted, and the time of issuance of maintenance request instructions and arrival time of maintenance personnel corresponding to each maintenance support operation simulation are obtained. The difference between the arrival time of maintenance personnel and the issuance time of maintenance request instructions is calculated to obtain the personnel response time corresponding to each maintenance support operation simulation. The ratio of the personnel response time corresponding to each maintenance support operation simulation to the response time of reference personnel is calculated and the reciprocal is taken to obtain the task timeliness index corresponding to each maintenance support operation simulation. Then, the average value is calculated to obtain the task timeliness index corresponding to the maintenance support operation of the target equipment.

[0045] In a preferred embodiment of the present invention, the analysis of the maintenance and support efficiency evaluation corresponding to the target equipment maintenance and support operation requires constructing a maintenance and support efficiency evaluation index corresponding to the target equipment maintenance and support operation. The specific method is as follows: extract the task success rate and task timeliness index corresponding to the target equipment maintenance and support operation, and denot them as follows: , .

[0046] Using formula Analysis yields the maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operations. ,in This represents a pre-set reference task success rate. This indicates a pre-set reference task timeliness index. Represents the natural constant.

[0047] It should be noted that the reasons for choosing mission success rate and mission timeliness index as influencing factors for the maintenance and support effectiveness evaluation index corresponding to the target equipment maintenance and support operations are as follows: 1. Mission success rate directly reflects the quality and effectiveness of maintenance and support operations. A high mission success rate means that maintenance and support work can effectively solve equipment malfunctions and problems, restoring the equipment to normal operating condition and meeting usage requirements. For example, in military equipment maintenance, a high mission success rate can ensure that equipment can be put into combat at any time, which has a significant impact on combat effectiveness; conversely, a low success rate indicates that there are problems in the maintenance work, such as insufficient technology or unsatisfactory spare parts supply, affecting the reliability and availability of the equipment.

[0048] 2. The task timeliness index reflects the timeliness of maintenance and support operations. In practical applications, rapid response and repair are crucial after equipment malfunctions. Shorter repair times reduce equipment downtime and minimize the impact on production, operations, and other activities. For example, in the civil aviation sector, the timeliness of aircraft malfunction repairs directly affects the normal takeoff and landing of flights and operational efficiency. Furthermore, 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 yields the following relationship for constructing the formula corresponding to the maintenance support effectiveness evaluation index for the target equipment maintenance support operations: 1. This section reflects the relationship between the task success rate and the reference value. The higher the actual task success rate, the larger this ratio, indicating better performance in task success and a greater positive contribution to the maintenance and support efficiency evaluation index.

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

[0051] Overall, The larger the value, the better. The smaller the value, the better. The higher the value, the higher the maintenance and support efficiency evaluation index, indicating that the maintenance and support operation performs better in terms of task success rate and timeliness.

[0052] It should be noted that this invention establishes a historical maintenance and support simulation model to analyze the maintenance and support capabilities and effectiveness of target equipment maintenance and support operations. This analytical approach can deeply uncover equipment maintenance patterns, accurately assess maintenance and support capabilities, and provide a basis for optimizing maintenance processes and improving efficiency. Simultaneously, the simulation model can comprehensively consider maintenance resource input and output, evaluating maintenance and support effectiveness from multiple dimensions such as human resources, material resources, and time costs. This helps to rationally allocate resources, avoid waste, obtain maximum equipment availability with minimal input, and improve the overall support level.

[0053] S4. Establishment of equipment structure operation simulation model: Construct an equipment structure operation simulation model of the target equipment based on the geometric structure, material properties and working principle of the target equipment.

[0054] It should be added that the method for constructing the equipment structure operation simulation model of the target equipment is as follows: Based on the design documents of the target equipment, obtain the external dimensions of the target equipment, the shape of each component, the relative positional relationship, the connection method, and collect the characteristic parameters of the materials used in each component of the equipment, such as density, elastic modulus, hardness, coefficient of thermal expansion, etc. Then, based on the collected geometric structure, material properties, and working principle information, use appropriate modeling software or tools to construct the equipment structure operation simulation model of the target equipment. For example, the modeling software can be SolidWorks.

[0055] S5. Analysis of Equipment Operation Quality Anomaly Adjustment Factors: Based on the equipment structure operation simulation model of the target equipment, the equipment operation quality is simulated to obtain the operation quality data of the target equipment, specifically including the average fault interval and average total working time, and the equipment operation quality anomaly adjustment factors of the target equipment are analyzed.

[0056] In a preferred embodiment of the present invention, the specific method for analyzing the equipment operation quality anomaly adjustment factor of the target equipment is as follows: The mean fault interval and the mean total working time of the target equipment are extracted and denoted as follows: , .

[0057] It should be added that the average failure interval and average total working time of the target equipment are obtained as follows: 1. Extract the simulation results corresponding to the operation quality simulation process of each piece of equipment, obtain the failure time of each failure corresponding to the operation quality simulation process of each piece of 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 of each failure, and then calculate the average failure interval of each failure corresponding to the operation quality simulation process of each piece of equipment by averaging the failure interval of each failure in the operation quality simulation process of each piece of equipment, and then calculate the average failure interval of the target equipment by averaging again.

[0058] 2. Extract the simulation results corresponding to the operation quality simulation process of each piece of equipment, obtain the fault time and fault repair end time of each fault in the operation quality simulation process of each piece of equipment, calculate the difference between the fault time of each fault and the fault repair end time corresponding to the previous fault to obtain the running time of each operation, then sum the running times of each operation in the operation quality simulation process of each piece of equipment to obtain the total working time corresponding to the operation quality simulation process of each piece of equipment, and then calculate the average total working time of the target equipment by averaging the total working time corresponding to the operation quality simulation process of each piece of equipment.

[0059] Using formula Analysis yielded the equipment operation quality anomaly adjustment factor for the target equipment. ,in This indicates the preset reference mean time between failures (MTBF). This indicates the preset reference average total working time.

[0060] It should be noted that the reasons for choosing mean interval between failures (MED) and mean total working time (MTBF) as the factors affecting the abnormal operation quality adjustment of the target equipment are as follows: 1. MED is a key indicator for measuring equipment reliability. A longer mean time between two failures indicates a longer average uptime for the equipment, and thus higher reliability. For example, in server equipment... High performance means the server can operate stably for extended periods, reducing business interruptions caused by malfunctions. Through analysis... This can determine whether there are potential risks of equipment failure. A significant shortening may indicate a quality problem with the equipment, requiring timely investigation.

[0061] 2. Average total working time reflects the intensity of equipment use and the wear and tear on its lifespan. Equipment that operates continuously for extended periods will experience more pronounced issues such as component wear and aging. For example, machines on industrial production lines... Over a prolonged period, even if no malfunctions occur currently, excessive use may bring the device close to its lifespan limit. As an influencing factor, it can comprehensively consider the impact of the equipment's usage history on operational quality, reasonably assess 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 target equipment maintenance and support operations.

[0063] In a preferred embodiment of the present invention, the analysis of the comprehensive evaluation of the maintenance and support operations corresponding to the maintenance and support operations of the target equipment requires the construction of a comprehensive evaluation index for the maintenance and support operations of the target equipment. The specific method is as follows: extract the maintenance and support capability evaluation index and the maintenance and support effectiveness evaluation index corresponding to the maintenance and support operations of the target equipment, and then sum them according to their weights to obtain the initial comprehensive evaluation index for the maintenance and support operations of the target equipment. Then, multiply it with the equipment operation quality anomaly adjustment factor of the target equipment to obtain the correction amount of the comprehensive evaluation index for the maintenance and support operations of the target equipment.

[0064] The comprehensive evaluation index of maintenance and support operations corresponding to the maintenance and support operations of the target equipment is obtained by summing the correction amount of the comprehensive evaluation index of maintenance and support operations corresponding to the maintenance and support operations of the target equipment with the initial comprehensive evaluation index of maintenance and support operations.

[0065] It should be noted that this invention establishes an equipment structure and operation simulation model, then analyzes the equipment operation quality anomaly adjustment factors of the target equipment. Based on this, it corrects the comprehensive evaluation of the maintenance and support operations corresponding to the target equipment. This analytical method can accurately assess maintenance needs, deeply understand the details of equipment operation, accurately locate the root cause of anomalies, and rationally allocate resources to avoid waste or shortages. Simultaneously, it can improve the pertinence of maintenance strategies, formulate personalized solutions based on the actual condition of the equipment, enhance equipment reliability, improve the scientific nature of maintenance and support decisions, reduce decision-making risks, optimize support processes, and comprehensively improve support efficiency and effectiveness.

[0066] S7. Anomaly Identification in Maintenance Support: Based on the evaluation of maintenance support operations corresponding to the target equipment maintenance support operations, determine whether there are any anomalies in the target equipment maintenance support operations. If so, further identify the specific anomaly.

[0067] Please see Figure 3 As shown in a preferred embodiment of the present invention, the specific method for determining whether there is an abnormality in the maintenance and support operation of the target equipment is as follows: extract the comprehensive evaluation index of the maintenance and support operation corresponding to the maintenance and support operation of the target equipment, and then compare it with the pre-set comprehensive evaluation index threshold of the maintenance and support operation. If the comprehensive evaluation index of the maintenance and support operation is less than the comprehensive evaluation index threshold of the maintenance and support operation, 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 threshold for the comprehensive evaluation index of maintenance and support operations is set based on the following: First, historical data is used to analyze the distribution of the comprehensive evaluation index of a large number of past maintenance operations, and the threshold is set based on common value ranges. Second, industry standards are referenced, and authoritative specifications for similar equipment in the same industry are converted into thresholds. Third, factors such as the performance, importance, and operating environment of the equipment itself are considered. For example, key equipment has high requirements and strict thresholds, while ordinary civilian equipment has more lenient thresholds. Finally, corporate goals and management needs also have an impact. Companies pursuing high-quality service set lower thresholds, while companies focusing on cost control appropriately raise the thresholds while ensuring basic quality. These factors are comprehensively considered to help set reasonable thresholds to determine whether maintenance and support operations are abnormal.

[0069] For example, the threshold for the comprehensive evaluation index of maintenance and support operations is: .

[0070] It should be noted that this invention determines whether there are any abnormalities in the maintenance and support operations of the target equipment based on the evaluation of the corresponding maintenance and support operations. This analysis method can detect potential problems in a timely manner, quickly capture abnormal signals, and resolve problems before they escalate, ensuring the normal operation of the equipment. Secondly, it facilitates the optimization of maintenance and support processes, allows for in-depth analysis of abnormalities, improves maintenance efficiency and equipment reliability, corrects abnormalities in a timely manner, ensures the quality of equipment maintenance, enables it to perform stably, and reduces the probability of failure.

[0071] In a preferred embodiment of the present invention, the specific method for identifying the specific anomaly is as follows: extract the maintenance support capability evaluation index and maintenance support efficiency evaluation index corresponding to the maintenance support operation of the target equipment, and then compare them with the preset maintenance support capability evaluation index threshold and maintenance support efficiency evaluation index threshold, respectively, so as to identify the specific anomaly.

[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 anomaly is identified as an anomaly in maintenance support capability.

[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 anomaly is identified as a maintenance support efficiency anomaly.

[0074] It should be noted that the specific anomaly can be one or both of the following: anomaly in maintenance support capability and anomaly in maintenance support effectiveness.

[0075] It should be noted that this invention, when determining that there are abnormalities in the maintenance and support operations of the target equipment, further identifies the specific points of the abnormality. This analytical method can accurately pinpoint the root cause of the problem, avoiding blind troubleshooting. At the same time, it helps to improve the maintenance and support system, discovering and addressing system vulnerabilities through the analysis of specific abnormalities, thereby enhancing overall support capabilities, reducing the probability of future abnormalities, and ensuring the stable and efficient operation of equipment maintenance and support.

[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 the following: Historical data and experience are analyzed to determine a reasonable threshold range. Regarding industry standards and specifications, authoritative industry standards are referenced to ensure that maintenance support levels meet industry requirements. Based on equipment performance and requirements, high-performance precision equipment has stricter thresholds due to its high maintenance support requirements, while ordinary equipment has more lenient thresholds. Corporate strategy and goals also have an impact; companies pursuing high-quality service set lower thresholds to facilitate timely problem detection, while companies focusing on cost-effectiveness appropriately raise thresholds while ensuring quality. These factors are comprehensively considered to help scientifically set thresholds and accurately assess maintenance support conditions.

[0077] For example, the threshold for the maintenance and support capability evaluation index is: The threshold for the maintenance and support efficiency evaluation index is: .

[0078] Please see Figure 2As shown, a second aspect of the present invention provides an equipment maintenance and support simulation evaluation system, comprising 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 anomaly adjustment factor analysis module, an equipment maintenance and support simulation comprehensive evaluation module, and a maintenance and support anomaly identification module. The historical maintenance and support simulation model establishment module is connected to both 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 anomaly 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 anomaly adjustment factor analysis module are all connected to the equipment maintenance and support simulation comprehensive evaluation module. The equipment maintenance and support simulation comprehensive evaluation module is connected to the maintenance and support anomaly identification module.

[0079] The historical maintenance and support simulation model building module is used to construct a historical maintenance and support simulation model of the target equipment based on its historical operation records and historical maintenance records.

[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 of the maintenance support operations of the target equipment.

[0081] The maintenance support efficiency 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 efficiency evaluation of the maintenance support operations of the target equipment.

[0082] The equipment structure operation simulation model building module is used to construct an equipment structure operation simulation model of the target equipment based on the target equipment's geometry, material properties, and working principle.

[0083] The equipment operation quality anomaly 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 fault interval and average total working time, and analyze the equipment operation quality anomaly adjustment factor of the target equipment.

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

[0085] The maintenance and support anomaly identification module is used to determine whether there is an anomaly in the maintenance and support operation of the target equipment based on the evaluation of the maintenance and support operation corresponding to the maintenance and support operation of the target equipment. If there is an anomaly, it further identifies the specific anomaly.

[0086] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A simulation evaluation method for equipment maintenance and support, characterized in that, include: S1. Establishment of historical maintenance and support simulation model: Construct a historical maintenance and support simulation model based on the historical operation records and historical maintenance records of the target equipment; S2. Simulation Analysis of Maintenance Support Capability: The average maintenance time, resource utilization rate and component turnover rate of the target equipment are obtained through maintenance support operation simulation, and the maintenance support capability evaluation is analyzed. S3. Maintenance Support Efficiency Simulation Analysis: Obtain the corresponding task success rate and task timeliness index through maintenance support operation simulation, and analyze the maintenance support efficiency evaluation. S4. Establishment of equipment structure operation simulation model: Construct an 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 Anomaly Adjustment Factors: Based on the equipment structure operation simulation model, the equipment operation quality is simulated to obtain the equipment's average fault interval and average total working time operation quality data, and the equipment operation quality anomaly adjustment factors are analyzed. S6. Equipment Maintenance and Support Simulation Comprehensive Evaluation: Analyze the comprehensive evaluation of maintenance and support operations corresponding to maintenance and support operations; S7. Anomaly Identification in Maintenance Support: Based on the evaluation of maintenance support operations, determine whether there are any anomalies in the maintenance support operations of the target equipment. If so, identify the specific anomaly. The analysis of the maintenance support capability evaluation corresponding to the target equipment maintenance support operations requires constructing a maintenance support capability evaluation index for the target equipment maintenance support operations. 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 operations, and denot them as follows: , , ;according to , and After normalization and fusion calculation, the maintenance support capability evaluation index corresponding to the maintenance support operation of the target equipment is obtained. ; The analysis of the maintenance support effectiveness evaluation corresponding to the target equipment maintenance support operations requires constructing a maintenance support effectiveness evaluation index for the target equipment maintenance support operations. The specific method is as follows: extract the task success rate and task timeliness index corresponding to the target equipment maintenance support operations, denoted as... , ;according to , , and Analysis yields the maintenance support effectiveness evaluation index corresponding to the target equipment maintenance support operations. ,in This represents a pre-set reference task success rate. This indicates a pre-set reference task timeliness index; The specific method for analyzing the equipment operation quality anomaly adjustment factor of the target equipment is as follows: extract the average fault interval and average total working time of the target equipment, and denot them as follows: , ;pass , , and The equipment operation quality anomaly adjustment factor of the target equipment is obtained through fusion calculation. ,in This indicates the preset reference mean time between failures (MTBF). This indicates the preset reference average total working time; The analysis of the comprehensive evaluation of the maintenance and support operations corresponding to the target equipment maintenance and support operations requires the construction of a comprehensive evaluation index for the maintenance and support operations corresponding to the target equipment maintenance and support operations. The specific method is as follows: extract the maintenance and support capability evaluation index and the maintenance and support effectiveness evaluation index corresponding to the target equipment maintenance and support operations, and then sum them according to their weights to obtain the initial comprehensive evaluation index for the maintenance and support operations corresponding to the target equipment maintenance and support operations. Then, multiply it with the equipment operation quality anomaly adjustment factor of the target equipment to obtain the correction amount of the comprehensive evaluation index for the maintenance and support operations corresponding to the target equipment maintenance and support operations. The comprehensive evaluation index of maintenance and support operations corresponding to the maintenance and support operations of the target equipment is obtained by summing the correction amount of the comprehensive evaluation index of maintenance and support operations corresponding to the maintenance and support operations of the target equipment with the initial comprehensive evaluation index of maintenance and support operations.

2. The equipment maintenance and support simulation evaluation method as described in claim 1, characterized in that: The specific methods for obtaining the average maintenance time, resource utilization rate, and component turnover rate corresponding to the maintenance and support operations of the target equipment are as follows: Obtain the maintenance end time and maintenance start time corresponding to each maintenance support operation simulation process, then calculate the difference to obtain the maintenance duration corresponding to each maintenance support operation simulation, and calculate the average maintenance duration corresponding to the target equipment maintenance support operation by averaging the maintenance durations corresponding to each maintenance support operation simulation. Extract the simulation results corresponding to each maintenance and support operation simulation process, and then further obtain the actual working time of each resource corresponding to each maintenance and support operation simulation process. Calculate the resource utilization rate of each resource corresponding to each maintenance and support operation simulation process by comparing the actual working time of each resource corresponding to each maintenance and support operation simulation process with the corresponding pre-set reference working time. Then, calculate the average value to obtain the resource utilization rate corresponding to the target equipment maintenance and support operation. Obtain the replacement parts for each part replacement operation corresponding to each maintenance and support operation simulation process, 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 finally calculate the average to obtain the part turnover rate corresponding to the maintenance and support operation of the target equipment.

3. The equipment maintenance and support simulation evaluation method as described in claim 1, characterized in that: The specific methods for obtaining the task success rate and task timeliness index corresponding to the target equipment maintenance and support operation are as follows: Extract the simulation results corresponding to each maintenance and support operation simulation process, obtain the task completion judgment results corresponding to each maintenance and support operation simulation, count the number of maintenance and support operation simulation processes judged as successful, and calculate the task success rate corresponding to the target equipment maintenance and support operation by the ratio of the number of maintenance and support operation simulation processes judged as successful to the total number of maintenance and support operation simulation processes. The simulation results corresponding to each maintenance support operation simulation process are extracted, and the time of issuance of maintenance request instructions and arrival time of maintenance personnel corresponding to each maintenance support operation simulation are obtained. The difference between the arrival time of maintenance personnel and the issuance time of maintenance request instructions is calculated to obtain the personnel response time corresponding to each maintenance support operation simulation. The ratio of the personnel response time corresponding to each maintenance support operation simulation to the response time of reference personnel is calculated and the reciprocal is taken to obtain the task timeliness index corresponding to each maintenance support operation simulation. Then, the average value is calculated to obtain the task timeliness index corresponding to the maintenance support operation of the target equipment.

4. The equipment maintenance and support simulation evaluation method as described in claim 3, characterized in that: The specific methods for determining whether there are any abnormalities in the maintenance and support operations of the target equipment are as follows: Extract the comprehensive evaluation index of maintenance and support operations corresponding to the maintenance and support operations of the target equipment, and then compare it with the pre-set comprehensive evaluation index threshold of maintenance and support operations. If the comprehensive evaluation index of maintenance and support operations is less than the comprehensive evaluation index threshold of maintenance and support operations, it is determined that there is an abnormality in the maintenance and support operations of the target equipment; otherwise, it is determined that there is no abnormality in the maintenance and support operations of the target equipment.

5. The equipment maintenance and support simulation evaluation method as described in claim 3, characterized in that: The specific method for identifying the specific anomaly 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 specific anomalies.

6. An equipment maintenance and support simulation evaluation system, used to perform the steps in the equipment maintenance and support simulation evaluation method as described in any one of claims 1-5, characterized in that: include: The historical maintenance and support simulation model building module is used to construct a historical maintenance and support simulation model of the target equipment based on its historical operation and maintenance records. 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 of the maintenance support operations of the target equipment. The maintenance support efficiency 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 efficiency evaluation of the maintenance support operations of the target equipment. The equipment structure operation simulation model building module is used to construct the equipment structure operation simulation model of the target equipment based on the geometric structure, material properties and working principle of the target equipment. The Equipment Operation Quality Anomaly 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 fault interval and average total working time, and analyze the equipment operation quality anomaly adjustment factors of the target equipment. The equipment maintenance and support simulation comprehensive evaluation module is used to analyze the comprehensive evaluation of maintenance and support operations corresponding to the target equipment maintenance and support operations; The maintenance and support anomaly identification module is used to determine whether there is an anomaly in the maintenance and support operation of the target equipment based on the evaluation of the maintenance and support operation corresponding to the target equipment maintenance and support operation. If there is an anomaly, it further identifies the specific anomaly.

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