A method for in-service monitoring and analysis of army equipment maintenance and support equipment

Abstract

The present invention belongs to the field of in-service monitoring of army equipment maintenance and support equipment, and specifically discloses an in-service monitoring and analysis method for army equipment maintenance and support equipment, comprising: data collection of performance test data of army equipment in different scenarios, including response time, dispatch time, fuel consumption and mileage, and maintenance data, including maintenance log and maintenance times, and then, equipment performance evaluation analysis is performed, and the performance evaluation coefficient of each equipment is calculated by running sluggishness index, fuel consumption index and route deviation index. Then, equipment maintenance evaluation analysis obtains maintenance evaluation coefficient based on maintenance efficiency and fault degree coefficient, and finally, the in-service health coefficient of the equipment is analyzed in combination with the performance and maintenance evaluation coefficient to judge its health status. For equipment judged to be unhealthy, the system will promptly feed back the monitoring and analysis results to the platform to ensure comprehensive monitoring and management of the army equipment status.

Description

Technical Field

[0001] The invention belongs to the field of in-service monitoring of army equipment maintenance and support equipment, and relates to an in-service monitoring and analysis method for army equipment maintenance and support equipment. Background Art

[0002] With the continuous development of modern military technology, the performance and complexity of army equipment are also increasing, which makes the monitoring and analysis of the in-service status of army equipment maintenance and support equipment particularly important. An effective in-service monitoring and analysis method for army equipment maintenance and support equipment plays a vital role in ensuring the equipment's integrity, improving combat effectiveness and reducing maintenance costs.

[0003] Although the existing in-service monitoring and analysis methods for army equipment maintenance and support equipment meet certain requirements, they still have limitations. Specifically: 1. Existing technologies usually use static performance standards to evaluate equipment. These standards cannot adapt to the actual needs of different combat scenarios. For example, at high altitudes or extreme climatic conditions, performance parameters such as fuel consumption and response time will change significantly, and existing technologies cannot accurately predict these changes. Existing technologies often perform performance evaluations based on historical data, which cannot reflect the performance of equipment in a real-time combat environment. The lack of real-time data causes a certain lag and deviation in the evaluation results.

[0004] 2. Existing technologies usually only consider the frequency of failures in general and ignore the frequency of occurrence of various types of failures. Due to the failure to distinguish between failures of different types and severity, the evaluation results are distorted. The evaluation results cannot accurately reflect the true status of the system or equipment, causing decision makers to make wrong judgments, such as mistakenly believing that the system is in good condition, when in fact there are serious potential risks. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a method for in-service monitoring and analysis of army equipment maintenance and support equipment is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an in-service monitoring and analysis method for army equipment maintenance and support equipment, including: S1, data acquisition: collecting performance test data of each army equipment in each scenario and maintenance data of each army equipment; the performance test data includes the response time, issuance time, fuel consumption and mileage corresponding to each operation instruction of each performance test; the maintenance data includes the maintenance log of each maintenance.

[0007] S2. Equipment performance evaluation and analysis: Based on the performance test data of each army equipment in various scenarios, analyze the operational sluggishness index of each army equipment and the operating fuel consumption index of each army equipment b, where b represents the number corresponding to the bth army equipment, b = 1, 2, 3, ... B, and then by collecting the actual route of each army equipment in each scenario, the route deviation index of each army equipment is analyzed Then analyze the performance evaluation coefficient of each army equipment.

[0008] S3. Equipment maintenance evaluation analysis: Based on the maintenance data of each army equipment, analyze the maintenance ratio index and failure degree coefficient of each army equipment, and then analyze the maintenance evaluation coefficient of each army equipment.

[0009] S4. Equipment in-service health analysis: Through the performance evaluation coefficient τ of each army equipment b and maintenance evaluation coefficient μ b , analyze the in-service health coefficient of each army equipment, and then determine whether the army equipment in service is healthy.

[0010] S5. Monitoring, analysis and feedback: All army equipment that is judged to be unhealthy will be fed back to the platform.

[0011] Preferably, the analysis of the operation sluggishness index of each army equipment includes: extracting the response time and the issuing time corresponding to each operation instruction of each performance test from the performance test data of each army equipment in each scenario, subtracting the issuing time from the response time corresponding to each operation instruction of each performance test of each army equipment in each scenario, and obtaining the response time corresponding to each operation instruction of each performance test of each army equipment in each scenario, recorded as i represents the number corresponding to the i-th scenario, i=1,2,3,...I, n represents the number corresponding to the n-th operation instruction, n=1,2,3,...N, q represents the number corresponding to the q-th performance test, q=1,2,3,...Q;

[0012] The allowed response time corresponding to each operation instruction of each type of army equipment in each scenario is extracted from the database.

[0013] According to the types of army equipment, the allowed response time corresponding to each operation instruction of each army equipment in each scenario is selected and recorded as

[0014] Analyze the operational slowness index of various army equipment Where N represents the total number of operation instructions, I represents the total number of scenarios, and Q represents the total number of performance tests.

[0015] Preferably, the analysis of the operating fuel consumption index of each army equipment includes: extracting the fuel consumption and mileage corresponding to each operating instruction of each performance test from the performance test data of each army equipment in each scenario.

[0016] The fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario are compared, and the ratio of the fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario is obtained, which is used as the fuel consumption ratio corresponding to each operating instruction of each performance test of each army equipment in each scenario, recorded as

[0017] The fuel consumption ratios corresponding to the operation instructions of each performance test of each army equipment in each scenario are averaged and calculated to obtain the average fuel consumption ratios corresponding to the operation instructions of each army equipment in each scenario, which is recorded as

[0018] Analyze the operating fuel consumption index of each army equipment b ,

[0019] Preferably, the analysis of the route deviation index of each army equipment includes: tracking and recording the actual route of each army equipment in each performance test in each scenario in real time through GPS.

[0020] The starting point of the actual route is defined as the coordinate origin, and a two-dimensional coordinate system is set with the x-axis along a straight line parallel to the starting point of the actual route to the end point, and the y-axis along a straight line perpendicular to the starting point of the actual route to the end point.

[0021] The points on the actual routes of each army equipment for each performance test in each scenario are extracted from the actual routes of each army equipment for each performance test in each scenario.

[0022] The expected routes of each army equipment for each performance test in each scenario are extracted from the database, and the points on the expected routes of each army equipment for each performance test in each scenario are extracted.

[0023] Substitute each point on the actual route of each army equipment for each performance test in each scenario and each point on the expected route of each army equipment for each performance test in each scenario into the two-dimensional coordinate system to obtain the coordinates of each point on the actual route of each army equipment for each performance test in each scenario and each point on the expected route of each army equipment for each performance test in each scenario.

[0024] Substitute the coordinates of each point on the actual route of each performance test of each army equipment in each scenario and the coordinates of each point on the expected route into the distance formula to obtain the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route. Compare the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route, and then screen out the shortest distance between each point on the actual route of each performance test of each army equipment in each scenario and the expected route, which is recorded as Where d represents the number corresponding to the d-th point, d = 1, 2, 3, ...D.

[0025] Analyze the route deviation index of each army equipment Where D represents the total number of points on the route, and γ0 represents the set allowable route deviation distance.

[0026] Preferably, the specific formula for analyzing the performance evaluation coefficient of each army equipment is: The χ1 represents the weight corresponding to the set operation sluggishness index of the army equipment, χ2 represents the weight corresponding to the set operation fuel consumption index of the army equipment, χ3 represents the weight corresponding to the set route deviation index of the army equipment, and χ1+χ2+χ3=1.

[0027] Preferably, the analysis of the maintenance ratio index of each army equipment includes: extracting the maintenance log of each maintenance from the maintenance data of each army equipment, and then extracting the start time and end time of each maintenance from the maintenance log of each maintenance.

[0028] Subtract the start time from the end time of each maintenance of each army equipment to obtain the maintenance duration of each maintenance of each army equipment.

[0029] Subtract the end time of the corresponding previous maintenance from the start time of each maintenance of each army equipment to obtain the maintenance interval duration of each maintenance of each army equipment.

[0030] Add up the maintenance time of each maintenance of each army equipment, and then use the average formula to get the average maintenance time of each army equipment.

[0031] Add up the maintenance intervals of each maintenance of each army equipment, and then use the average formula to get the average maintenance interval of each army equipment.

[0032] By comparing the average maintenance interval of each army equipment with the average maintenance duration, we can obtain the maintenance ratio index of each army equipment, denoted as Gb.

[0033] Preferably, the analysis of the failure degree coefficient of each army equipment includes: identifying the failure type of each failure by code, and then counting the number of failures of each army equipment, and then classifying the failure type of each failure into a minor level, a general level, and a severe level according to a set severity level classification standard.

[0034] The number of minor faults of each army equipment is counted, and then compared with the number of faults of each army equipment, and the ratio of the number of minor faults of each army equipment to the number of faults of each army equipment is obtained, which is used as the minor fault frequency of each army equipment, recorded as

[0035] The weight corresponding to the failure frequency of the army equipment with a minor failure type level is set to κ1.

[0036] According to the analysis method of the fault type level of each army equipment as a minor fault frequency, the fault type level of each army equipment as a general fault frequency and the fault type level as a serious fault frequency are obtained by the same method, which are recorded as and

[0037] The weight corresponding to the failure frequency of the general failure type level of the army equipment is set to κ2.

[0038] The weight corresponding to the failure frequency of the army equipment with a serious failure type level is set to κ3.

[0039] Analyze the failure degree coefficient of each army equipment

[0040] Preferably, the specific formula for analyzing the maintenance evaluation coefficient of each army equipment is: where G′ b It represents the reference maintenance ratio index of the bth army equipment. Represents the reference failure degree coefficient of the bth army equipment.

[0041] Preferably, the determination of whether the various army equipment in service are healthy includes: comparing the in-service health coefficient of each army equipment with a preset in-service health threshold; if the in-service health coefficient of a certain army equipment is less than the preset in-service health threshold, then the army equipment is a healthy equipment; if the in-service health coefficient of a certain army equipment is greater than or equal to the preset in-service health threshold, then the army equipment is an unhealthy equipment, thereby screening out the unhealthy army equipment.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By conducting in-depth analysis on the performance test data of various army equipment in various scenarios, the present invention can effectively evaluate the operating sluggishness index, operating fuel consumption index and route deviation index of various army equipment, and then comprehensively obtain the performance evaluation coefficient of each army equipment. This evaluation based on actual data not only improves the scientificity and accuracy of military decision-making, but also helps to optimize equipment configuration, guide equipment improvement and upgrading, improve combat efficiency, reduce operating costs and enhance combat safety. At the same time, these data also provide strong support for the informatization and intelligence of equipment management, and promote the improvement of equipment management level.

[0043] (2) The present invention analyzes the maintenance ratio index and failure degree coefficient of each army equipment based on the maintenance data of each army equipment, and then analyzes the maintenance evaluation coefficient of each army equipment, thereby providing the military department with a full evaluation of the maintenance performance of the army equipment. By comparing the maintenance evaluation coefficients of different equipment, the military department can more reasonably allocate maintenance resources and budgets to ensure that key equipment receives sufficient maintenance support, which helps to optimize resource allocation, improve resource utilization efficiency, and reduce maintenance costs.

[0044] (3) The present invention can more accurately evaluate the real condition of the system or equipment by distinguishing faults of different types and severity. This detailed analysis can more accurately reflect the performance, reliability and potential risks of the equipment. When the evaluation results can accurately reflect the real condition of the system or equipment, decision makers can make decisions based on accurate information and avoid misjudgments caused by distorted evaluation results, which helps prevent potential risks and ensure the safe operation of the system or equipment.

[0045] (4) The present invention analyzes the in-service health coefficient of each army equipment through the performance evaluation coefficient and maintenance evaluation coefficient of each army equipment, and then determines whether the army equipment in service is healthy. The military department can allocate maintenance resources and budgets more reasonably. For equipment in good health, unnecessary maintenance investment can be reduced, and for equipment in poor health, maintenance investment can be increased to ensure the safety and reliability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 It is a schematic diagram for implementing the method steps of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 As shown, the present invention provides an in-service monitoring and analysis method for army equipment maintenance and support equipment, the method comprising: S1, data collection: collecting performance test data of each army equipment in each scenario and maintenance data of each army equipment; the performance test data includes the response time, issuance time, fuel consumption and mileage corresponding to each operation instruction of each performance test; the maintenance data includes the maintenance log of each maintenance.

[0050] The response time, issuance time, fuel consumption and mileage corresponding to each operation instruction of each performance test of each army equipment in each scenario are obtained through the log recording platform; the maintenance log of each maintenance of each army equipment is obtained through the maintenance recording platform.

[0051] By collecting detailed performance test data, the present invention can accurately evaluate the performance of army equipment in different scenarios, which helps to provide a scientific basis for the use and maintenance of equipment. By collecting and analyzing maintenance data, the use and maintenance history of equipment can be understood. Based on these data, more accurate and effective equipment management and maintenance strategies can be formulated to reduce failure rates and extend the service life of equipment.

[0052] S2. Equipment performance evaluation and analysis: Based on the performance test data of each army equipment in various scenarios, analyze the operational sluggishness index of each army equipment and the operating fuel consumption index of each army equipment b , where b represents the number corresponding to the bth army equipment, b = 1, 2, 3, ... B, and then by collecting the actual route of each army equipment in each scenario, the route deviation index of each army equipment is analyzed Then analyze the performance evaluation coefficient of each army equipment.

[0053] Furthermore, the analysis of the operation sluggishness index of each army equipment includes: extracting the response time and the issuance time corresponding to each operation instruction of each performance test from the performance test data of each army equipment in each scenario, subtracting the issuance time from the response time corresponding to each operation instruction of each performance test of each army equipment in each scenario, and obtaining the response time corresponding to each operation instruction of each performance test of each army equipment in each scenario, which is recorded as i represents the number corresponding to the i-th scenario, i=1,2,3,...I, n represents the number corresponding to the n-th operation instruction, n=1,2,3,...N, q represents the number corresponding to the q-th performance test, q=1,2,3,...Q.

[0054] The allowed response time corresponding to each operation instruction of each type of army equipment in each scenario is extracted from the database.

[0055] According to the types of army equipment, the allowed response time corresponding to each operation instruction of each army equipment in each scenario is selected and recorded as

[0056] Analyze the operational slowness index of various army equipment Where N represents the total number of operation instructions, I represents the total number of scenarios, and Q represents the total number of performance tests.

[0057] Furthermore, the analysis of the operating fuel consumption index of each army equipment includes: extracting the fuel consumption and mileage corresponding to each operating instruction of each performance test from the performance test data of each army equipment in each scenario.

[0058] The fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario are compared, and the ratio of the fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario is obtained, which is used as the fuel consumption ratio corresponding to each operating instruction of each performance test of each army equipment in each scenario, recorded as

[0059] The fuel consumption ratios corresponding to the operation instructions of each performance test of each army equipment in each scenario are averaged and calculated to obtain the average fuel consumption ratios corresponding to the operation instructions of each army equipment in each scenario, which is recorded as

[0060] Analyze the operating fuel consumption index of each army equipment b ,

[0061] Furthermore, the analysis of the route deviation index of each army equipment includes: tracking and recording the actual route of each army equipment in each performance test in each scenario in real time through GPS.

[0062] The starting point of the actual route is defined as the coordinate origin, and a two-dimensional coordinate system is set with the x-axis along a straight line parallel to the starting point of the actual route to the end point, and the y-axis along a straight line perpendicular to the starting point of the actual route to the end point.

[0063] The points on the actual routes of each army equipment for each performance test in each scenario are extracted from the actual routes of each army equipment for each performance test in each scenario.

[0064] The expected routes of each army equipment for each performance test in each scenario are extracted from the database, and the points on the expected routes of each army equipment for each performance test in each scenario are extracted.

[0065] Substitute each point on the actual route of each army equipment for each performance test in each scenario and each point on the expected route of each army equipment for each performance test in each scenario into the two-dimensional coordinate system to obtain the coordinates of each point on the actual route of each army equipment for each performance test in each scenario and each point on the expected route of each army equipment for each performance test in each scenario.

[0066] Substitute the coordinates of each point on the actual route of each performance test of each army equipment in each scenario and the coordinates of each point on the expected route into the distance formula to obtain the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route. Compare the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route, and then screen out the shortest distance between each point on the actual route of each performance test of each army equipment in each scenario and the expected route, which is recorded as Where d represents the number corresponding to the d-th point, d = 1, 2, 3, ...D.

[0067] Analyze the route deviation index of each army equipment Where D represents the total number of points on the route, and γ0 represents the set allowable route deviation distance.

[0068] Furthermore, the specific formula for analyzing the performance evaluation coefficient of each army equipment is: The χ1 represents the weight corresponding to the set operation sluggishness index of the army equipment, χ2 represents the weight corresponding to the set operation fuel consumption index of the army equipment, χ3 represents the weight corresponding to the set route deviation index of the army equipment, and χ1+χ2+χ3=1.

[0069] It should be noted that χ1 can be set to 0.4, χ2 can be set to 0.3, and χ3 can be set to 0.3. The operation sluggishness index of army equipment is directly related to the response speed of army equipment, which is crucial for rapid decision-making and action on the battlefield. The operation fuel consumption index of army equipment reflects the economy and endurance of the equipment. In the modern military field, fuel consumption is an important part of maintenance costs and has a direct impact on the sustained combat capability of the troops. The route deviation index of army equipment reflects the accuracy and navigation capability of the equipment during the march, so the weight corresponding to the operation fuel consumption index of army equipment is relatively large.

[0070] The present invention can effectively evaluate the operation sluggishness index, operation fuel consumption index and route deviation index of each army equipment by conducting in-depth analysis of the performance test data of each army equipment in various scenarios, and then comprehensively obtain the performance evaluation coefficient of each army equipment. This evaluation based on actual data not only improves the scientificity and accuracy of military decision-making, but also helps to optimize equipment configuration, guide equipment improvement and upgrading, improve combat efficiency, reduce operating costs and enhance combat safety. At the same time, these data also provide strong support for the informatization and intelligence of equipment management, and promote the improvement of equipment management level.

[0071] S3. Equipment maintenance evaluation analysis: Based on the maintenance data of each army equipment, analyze the maintenance ratio index and failure degree coefficient of each army equipment, and then analyze the maintenance evaluation coefficient of each army equipment.

[0072] Furthermore, the analysis of the maintenance ratio index of each army equipment includes: extracting the maintenance log of each maintenance from the maintenance data of each army equipment, and then extracting the start time and end time of each maintenance from the maintenance log of each maintenance.

[0073] Subtract the start time from the end time of each maintenance of each army equipment to obtain the maintenance duration of each maintenance of each army equipment.

[0074] Subtract the end time of the corresponding previous maintenance from the start time of each maintenance of each army equipment to obtain the maintenance interval duration of each maintenance of each army equipment.

[0075] Add up the maintenance time of each maintenance of each army equipment, and then use the average formula to get the average maintenance time of each army equipment.

[0076] Add up the maintenance intervals of each maintenance of each army equipment, and then use the average formula to get the average maintenance interval of each army equipment.

[0077] By comparing the average maintenance interval of each army equipment with the average maintenance duration, we can obtain the maintenance ratio index of each army equipment, denoted as Gb.

[0078] Furthermore, the analysis of the failure degree coefficient of each army equipment includes: identifying the failure type of each failure through the code, and then counting the number of failures of each army equipment, and then classifying the failure type of each failure into a minor level, a general level, and a severe level according to the set severity level classification standard.

[0079] As a preferred embodiment, the various army equipment include: tanks, armored vehicles and rocket launchers.

[0080] The various types of failures of various army equipment include: the various types of failures of tanks include abnormal body noise, abnormal gearbox noise, shock absorber oil leakage, suspension spring breakage, engine high temperature, steering gear failure and steering rod damage, among which abnormal body noise is a minor level; abnormal gearbox noise, shock absorber oil leakage and suspension spring breakage are general levels; engine high temperature, steering gear failure and steering rod damage are serious levels.

[0081] The various types of failure of armored vehicles include failure of protective coating, tire wear, transmission belt slippage, communication equipment failure, transmission belt breakage and armor plate shedding, among which protective coating failure and tire wear are minor levels; transmission belt slippage and communication equipment failure are general levels; transmission belt breakage and armor plate shedding are severe levels.

[0082] The various types of rocket launcher failures include insufficient battery power, clogged launch tubes, short circuits, damaged or expired projectiles, and improper loading of projectiles. Among them, insufficient battery power is a minor level; clogged launch tubes and short circuits are general levels; damaged or expired projectiles and improper loading of projectiles are serious levels.

[0083] The number of minor faults of each army equipment is counted, and then compared with the number of faults of each army equipment, and the ratio of the number of minor faults of each army equipment to the number of faults of each army equipment is obtained, which is used as the minor fault frequency of each army equipment, recorded as

[0084] The weight corresponding to the failure frequency of the army equipment with a minor failure type level is set to κ1.

[0085] According to the analysis method of the fault type level of each army equipment as a minor fault frequency, the fault type level of each army equipment as a general fault frequency and the fault type level as a serious fault frequency are obtained by the same method, which are recorded as and

[0086] The weight corresponding to the failure frequency of the general failure type level of the army equipment is set to κ2.

[0087] The weight corresponding to the failure frequency of the army equipment with a serious failure type level is set to κ3.

[0088] Analyze the failure degree coefficient of each army equipment

[0089] It should be noted that κ1 can be set to 0.25, κ2 can be set to 0.3, and κ3 can be set to 0.45. The fault frequency with a serious fault type level has the greatest impact on the fault degree, the fault frequency with a general fault type level has the second greatest impact on the fault degree, and the fault frequency with a minor fault type level has the least impact.

[0090] Furthermore, the specific formula for analyzing the maintenance evaluation coefficient of each army equipment is as follows: where G′ b It represents the reference maintenance ratio index of the bth army equipment. Represents the reference failure degree coefficient of the bth army equipment.

[0091] Specifically, the specific process of obtaining the reference maintenance ratio index of the bth army equipment and the reference failure degree coefficient of the bth army equipment is: extracting the reference maintenance ratio index and reference failure degree coefficient of each type of army equipment from the database, and then screening out the reference maintenance ratio index and reference failure degree coefficient of each army equipment.

[0092] The present invention analyzes the maintenance ratio index and failure degree coefficient of each army equipment according to the maintenance data of each army equipment, and then analyzes the maintenance evaluation coefficient of each army equipment, providing the military department with a full evaluation of the maintenance performance of army equipment. By comparing the maintenance evaluation coefficients of different equipment, the military department can more reasonably allocate maintenance resources and budgets to ensure that key equipment receives sufficient maintenance support, which helps to optimize resource allocation, improve resource utilization efficiency, and reduce maintenance costs.

[0093] S4. Equipment in-service health analysis: Through the performance evaluation coefficient τ of each army equipment b and maintenance evaluation coefficient μ b , analyze the in-service health coefficient of each army equipment, and then determine whether the army equipment in service is healthy.

[0094] Furthermore, the specific process of analyzing the in-service health coefficient of each army equipment is as follows: Wherein α1 represents the weight factor corresponding to the performance evaluation coefficient of the set army equipment, α2 represents the weight factor corresponding to the maintenance evaluation coefficient of the set army equipment, and α1+α2=1.

[0095] It should be noted that α1 can be set to 0.5, and α2 can be set to 0.5. The performance evaluation coefficient and maintenance evaluation coefficient of army equipment are of equal importance. The performance evaluation coefficient reflects the effectiveness and efficiency of army equipment in actual use, while the maintenance evaluation coefficient reflects the health status and reliability of the equipment during the maintenance process. Both are key factors in evaluating the in-service health coefficient of army equipment. Therefore, the weight factors corresponding to the performance evaluation coefficient and the maintenance evaluation coefficient are equal.

[0096] Furthermore, the determination of whether the various army equipment in service are healthy includes: comparing the in-service health coefficient of each army equipment with a preset in-service health threshold; if the in-service health coefficient of a certain army equipment is less than the preset in-service health threshold, then the army equipment is a healthy equipment; if the in-service health coefficient of a certain army equipment is greater than or equal to the preset in-service health threshold, then the army equipment is an unhealthy equipment, thereby screening out the unhealthy army equipment.

[0097] The present invention analyzes the in-service health coefficient of each army equipment through the performance evaluation coefficient and maintenance evaluation coefficient of each army equipment, and then determines whether the army equipment in service is healthy. The military department can allocate maintenance resources and budgets more reasonably. For equipment in good health, unnecessary maintenance investment can be reduced, and for equipment in poor health, maintenance investment can be increased to ensure the safety and reliability of the equipment.

[0098] S5. Monitoring, analysis and feedback: All army equipment that is judged to be unhealthy will be fed back to the platform, and relevant personnel will be dispatched to inspect and repair the army equipment that is judged to be unhealthy.

[0099] 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 specific embodiments described 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 shall all fall within the protection scope of the present invention.

Claims

1. A method for monitoring and analyzing in-service equipment of army equipment maintenance and support equipment, characterized by: The method includes: S1. Data collection: Collect performance test data of various army equipment in various scenarios and maintenance data of various army equipment; performance test data includes response time, issuance time, fuel consumption and mileage corresponding to each operation instruction of each performance test; maintenance data includes maintenance logs of each maintenance; S2. Equipment performance evaluation and analysis: Based on the performance test data of each army equipment in various scenarios, analyze the operational sluggishness index of each army equipment and the operating fuel consumption index of each army equipment ,in Indicates The corresponding numbers of the army equipment, Then, by collecting the actual routes of each army equipment in each scenario, the route deviation index of each army equipment is analyzed. , and then analyze the performance evaluation coefficient of each army equipment; S3. Equipment maintenance evaluation analysis: Based on the maintenance data of each army equipment, analyze the maintenance ratio index and failure degree coefficient of each army equipment, and then analyze the maintenance evaluation coefficient of each army equipment; S4. Equipment in-service health analysis: Through the performance evaluation coefficient of each army equipment and maintenance assessment factor , analyze the in-service health coefficient of each army equipment, and then determine whether the army equipment in service is healthy; S5. Monitoring, analysis and feedback: Feedback to the platform on all army equipment that is judged to be unhealthy; The analysis of the operational sluggishness index of each army equipment includes: The response time and issuance time corresponding to each operation instruction of each performance test are extracted from the performance test data of each army equipment in each scenario. The response time corresponding to each operation instruction of each performance test of each army equipment in each scenario is subtracted from the issuance time to obtain the response time corresponding to each operation instruction of each performance test of each army equipment in each scenario, which is recorded as , Indicates The number corresponding to each scene, , Indicates The number corresponding to the operation instruction, , Indicates The number corresponding to the performance test, ; Extract the allowed response time corresponding to each operation instruction of each type of army equipment in each scenario from the database; According to the types of army equipment, the allowed response time corresponding to each operation instruction of each army equipment in each scenario is selected and recorded as ; Analyze the operational slowness index of various army equipment , ,in Indicates the total number of operation instructions. Indicates the total number of scenes, Indicates the total number of performance tests; The analysis of route deviation index of each army equipment includes: pass Real-time tracking and recording of the actual routes of various Army equipment during various performance tests in various scenarios; Define the starting point of the actual route as the coordinate origin, and set a two-dimensional coordinate system with the x-axis along a straight line parallel to the starting point of the actual route and the y-axis along a straight line perpendicular to the starting point of the actual route. Extracting points on the actual routes of each performance test of each army equipment in each scenario from the actual routes of each performance test of each army equipment in each scenario; Extract the expected route of each performance test of each army equipment in each scenario from the database; extract the points on the expected route of each performance test of each army equipment in each scenario; Substitute each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route of each performance test of each army equipment in each scenario into a two-dimensional coordinate system to obtain the coordinates of each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route of each performance test of each army equipment in each scenario; Substitute the coordinates of each point on the actual route of each performance test of each army equipment in each scenario and the coordinates of each point on the expected route into the distance formula to obtain the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route. Compare the distance between each point on the actual route of each performance test of each army equipment in each scenario and each point on the expected route, and then screen out the shortest distance between each point on the actual route of each performance test of each army equipment in each scenario and the expected route, which is recorded as ,in Indicates The number corresponding to the point, ; Analyze the route deviation index of each army equipment , ,in Represents the total number of points on the route. Indicates the set allowable route offset distance.

2. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The analysis of the operating fuel consumption index of each army equipment includes: Extract the fuel consumption and mileage corresponding to each operating instruction of each performance test from the performance test data of each army equipment in each scenario; The fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario are compared, and the ratio of the fuel consumption and mileage corresponding to each operating instruction of each performance test of each army equipment in each scenario is obtained, which is used as the fuel consumption ratio corresponding to each operating instruction of each performance test of each army equipment in each scenario, recorded as ; The fuel consumption ratios corresponding to the operation instructions of each performance test of each army equipment in each scenario are averaged and calculated to obtain the average fuel consumption ratios corresponding to the operation instructions of each army equipment in each scenario, which is recorded as ; Analyze the operating fuel consumption index of various army equipment , .

3. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The specific formula for analyzing the performance evaluation coefficient of each army equipment is: , Indicates the weight corresponding to the set operational sluggishness index of the army equipment. Indicates the weight corresponding to the set operating fuel consumption index of the army equipment, represents the weight corresponding to the route deviation index of the set army equipment, and .

4. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The analysis of the maintenance ratio index of each army equipment includes: Extract the maintenance log of each maintenance from the maintenance data of each army equipment, and then extract the start time and end time of each maintenance from the maintenance log of each maintenance; Subtract the start time from the end time of each overhaul of each army equipment to obtain the overhaul duration of each overhaul of each army equipment; Subtract the end time of the corresponding previous maintenance from the start time of each maintenance of each army equipment to obtain the maintenance interval length of each maintenance of each army equipment; Add up the maintenance time of each maintenance of each army equipment, and then use the average formula to get the average maintenance time of each army equipment; Add up the maintenance intervals of each maintenance of each army equipment, and then use the average formula to get the average maintenance interval of each army equipment; Compare the average maintenance interval of each army equipment with the average maintenance time to obtain the maintenance ratio index of each army equipment, which is recorded as .

5. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The analysis of the failure degree coefficient of each army equipment includes: The fault type of each fault is identified by the code, and then the number of faults of each army equipment is counted. Then, the fault type of each fault is classified into minor, general, and severe levels according to the set severity level classification standard; The number of minor faults of each army equipment is counted, and then compared with the number of faults of each army equipment, and the ratio of the number of minor faults of each army equipment to the number of faults of each army equipment is obtained, which is used as the minor fault frequency of each army equipment, recorded as ; Set the weight of the failure frequency of the army equipment with a minor failure type level to ; According to the analysis method of the fault type level of each army equipment as a minor fault frequency, the fault type level of each army equipment as a general fault frequency and the fault type level as a serious fault frequency are obtained by the same method, which are recorded as and ; Set the weight corresponding to the failure frequency of the general failure type level of the army equipment to ; Set the weight corresponding to the failure frequency of serious failure type level of army equipment to ; Analyze the failure degree coefficient of each army equipment , .

6. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The specific formula for analyzing the maintenance evaluation coefficient of each army equipment is: ,in Indicates the setting The reference maintenance ratio index of army equipment, Indicates the setting The reference failure degree coefficient of each army equipment, Indicates the maintenance ratio index of each army equipment, Indicates the failure degree coefficient of each army equipment.

7. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The specific process of analyzing the in-service health coefficient of each army equipment is as follows: ,in Represents the weight factor corresponding to the performance evaluation coefficient of the set army equipment, represents the weight factor corresponding to the maintenance evaluation coefficient of the set army equipment, and .

8. The in-service monitoring and analysis method for army equipment maintenance and support equipment according to claim 1 is characterized by: The determination of whether the various army equipment in the base is healthy includes: The in-service health coefficient of each army equipment is compared with the preset in-service health threshold. If the in-service health coefficient of a certain army equipment is less than the preset in-service health threshold, then the army equipment is healthy equipment; if the in-service health coefficient of a certain army equipment is greater than or equal to the preset in-service health threshold, then the army equipment is unhealthy equipment, and then the unhealthy army equipment is screened out.

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