Military equipment maintenance support equipment assessment data acquisition and analysis method

Abstract

The invention belongs to the technical field of data analysis, and particularly discloses and provides a military equipment maintenance support equipment assessment data acquisition and analysis method, which comprises the following steps: acquiring operation data of target equipment, analyzing an operation qualification coefficient of the target equipment, acquiring maintenance data of the target equipment, analyzing a maintenance qualification coefficient of the target equipment, and acquiring maintenance data of the target equipment; according to the operation qualification coefficient and the maintenance qualification coefficient of the target equipment, the assessment score of the target equipment is confirmed, and corresponding feedback is carried out; according to the operation data of the military equipment maintenance support equipment, the operation qualification coefficient of the military equipment maintenance support equipment is analyzed, so that the formulation pertinence of a maintenance strategy of the subsequent military equipment maintenance support equipment is improved; and meanwhile, the maintenance qualification coefficient of the military equipment maintenance support equipment is analyzed according to the maintenance time, the fault type and the maintenance duration of each maintenance of the military equipment maintenance support equipment, so that the timeliness of judgment of the maintenance demand is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis and relates to a method for collecting and analyzing assessment data of military equipment maintenance support equipment. Background Art

[0002] Military equipment maintenance support equipment is various equipment used to maintain, repair and ensure the normal operation of military equipment, covering various types such as detection, repair tools and transportation. In order to comprehensively understand the equipment performance, operation status, repair effect, etc., it is necessary to collect and analyze assessment data for it.

[0003] For example, the Chinese invention patent with the publication number CN118747572A discloses a method for in-service monitoring and analysis of army equipment maintenance support equipment. The present invention belongs to the field of in-service monitoring of army equipment maintenance support equipment, and specifically discloses a method for in-service monitoring and analysis of army equipment maintenance support equipment, including: collecting performance test data of army equipment in different scenarios, including response time, emission time, fuel consumption and driving mileage, as well as maintenance data, including maintenance logs and maintenance times. Subsequently, equipment performance evaluation and analysis are carried out. By calculating the operation slowness index, fuel consumption index and route deviation index, the performance evaluation coefficient of each equipment is calculated. Then, equipment maintenance evaluation and analysis are carried out to obtain the maintenance evaluation coefficient based on the maintenance efficiency and fault degree coefficient. Finally, combining the performance and maintenance evaluation coefficients, the in-service health coefficient of the equipment is analyzed to judge its health status. For the equipment determined to be unhealthy, the system will promptly feedback the monitoring and analysis results to the platform to ensure the comprehensive monitoring and management of the status of army equipment.

[0004] For example, the Chinese invention patent with the publication number CN119273185A discloses a method for diagnosing and assessing military equipment maintenance support equipment. The present invention relates to the field of diagnosing and assessing military support equipment, and specifically discloses a method for diagnosing and assessing military equipment maintenance support equipment. The present invention analyzes the performance index compliance index of each military support equipment by obtaining the diagnostic accuracy coefficient and detection rapidity coefficient of the military support equipment. Obtain the failure rate, mean time between failures and maintainability coefficient of each military support equipment, and analyze the reliability index compliance index of each military support equipment. Obtain the maintenance cycle trend curve and maintenance cost trend curve of each military support equipment, and analyze the maintenance and support index compliance index of each military support equipment. Further evaluate the comprehensive assessment index of each military support equipment. Qualitative and quantitative analysis and comprehensive assessment of military equipment maintenance support equipment are carried out from multi-dimensional and multi-faceted indicators, so as to realize a comprehensive and objective diagnosis and assessment of military equipment maintenance support equipment, thereby providing a scientific basis for the selection, use and improvement of military support equipment.

[0005] The above prior art has the following deficiencies: 1. The current assessment of the operation data of military equipment maintenance support equipment mainly focuses on the assessment of diagnostic accuracy and detection speed, that is, the attention to the operation data during the operation of military equipment maintenance support equipment is insufficient, which cannot guarantee the comprehensiveness of the operation status assessment of military equipment maintenance support equipment, and thus cannot guarantee the timeliness of early warning of potential faults of military equipment maintenance support equipment, resulting in the inability to achieve the pertinence of the subsequent maintenance strategy formulation of military equipment maintenance support equipment, and at the same time increasing the risk of damage to subsequent military equipment maintenance support equipment.

[0006] 2. The current assessment of the maintenance data of military equipment maintenance support equipment mainly focuses on the detection and analysis of maintenance logs and the number of inspections, that is, the attention to the maintenance duration of each maintenance of military equipment maintenance support equipment is insufficient, which cannot guarantee the timeliness of maintenance demand judgment, and thus cannot guarantee the reasonable utilization of maintenance resources of military equipment maintenance support equipment, and thus cannot evaluate the availability of military equipment maintenance support equipment. Summary of the Invention

[0007] In view of this, to solve the problems proposed in the above background technology, a method for collecting and analyzing assessment data of military equipment maintenance support equipment is proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: The present invention provides a method for collecting and analyzing assessment data of military equipment maintenance support equipment, including: Step 1, equipment operation data collection: Collect the operation data of the target equipment in the running state, including the startup duration of each operation, the response duration of each instruction, the displacement data of each moving part, and the vibration frequency and temperature at each monitoring time point.

[0009] Step 2, equipment operation data analysis: Based on the operation data of the target equipment in the running state, perform the operation qualification analysis of the target equipment to obtain the operation qualification coefficient of the target equipment.

[0010] Step 3, equipment maintenance data extraction: Extract the maintenance time, fault type and maintenance duration of each maintenance of the target equipment.

[0011] Step 4, equipment maintenance data analysis: Based on the maintenance time, fault type and maintenance duration of each maintenance of the target equipment, analyze the maintenance qualification coefficient of the target equipment.

[0012] Step 5, equipment assessment confirmation and feedback: Based on the operation qualification coefficient and maintenance qualification coefficient of the target equipment, confirm the assessment score of the target equipment and give corresponding feedback in the cloud platform for assessment data of military equipment maintenance support equipment.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By analyzing the operation qualification coefficient of military equipment maintenance and support equipment based on its operation data, the present invention avoids the problem of insufficient attention to operation data during the operation of military equipment maintenance and support equipment. It comprehensively evaluates the operation status of military equipment maintenance and support equipment from multiple dimensions such as startup response sensitivity, command response duration sensitivity, position accuracy, and operation stability, thereby improving the pertinence of formulating subsequent maintenance strategies for military equipment maintenance and support equipment, and thus facilitating the extension of the service life of military equipment maintenance and support equipment.

[0014] (2) By analyzing the maintenance qualification coefficient of military equipment maintenance and support equipment based on the maintenance time, fault type, and maintenance duration of each maintenance of the equipment, the present invention breaks through the insufficient attention to the maintenance duration during each maintenance of military equipment maintenance and support equipment, improves the timeliness of judging maintenance requirements, and thus ensures the reliability of evaluating the equipment status of military equipment maintenance and support equipment, thereby improving the evaluation accuracy of the assessment data of military equipment maintenance and support equipment.

[0015] (3) By analyzing the operation stability coefficient of military equipment maintenance and support equipment based on the vibration frequency and temperature at each monitoring time point during each operation of the equipment, the present invention accurately grasps the real-time status of military equipment maintenance and support equipment, discovers potential hidden dangers in a timely manner, and thus improves the accuracy of analyzing the operation stability of military equipment maintenance and support equipment, reduces the risk of mission interruption caused by faults, and thereby improves the safety of military equipment maintenance and support equipment.

[0016] (4) By statistically analyzing the maintenance duration deviation coefficient of military equipment maintenance and support equipment based on the fault type and maintenance duration of each maintenance of the equipment, and comprehensively considering the fault type and maintenance duration, the present invention greatly improves the accuracy of fault maintenance analysis, and thus improves the prediction accuracy of subsequent potential faults of military equipment maintenance and support equipment, and thereby improves the stability of military equipment maintenance and support equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for describing the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 It is a connection schematic diagram of each step of the method of the present invention.

[0019] Figure 2 It is a connection schematic diagram of the steps for analyzing the operation qualification coefficient of the present invention.

[0020] Figure 3 This is a schematic connection diagram for the statistical steps of the qualified coefficient of the maintenance interval time of the present invention. Specific embodiments

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] Please refer to Figure 1 As shown, the present invention provides a method for collecting and analyzing assessment data of military equipment maintenance support equipment. The method includes: Step 1, collecting equipment operation data: collecting the operation data of the target equipment in the running state, including the start-up duration of each operation, the response duration of each instruction, the displacement data of each moving part, and the vibration frequency and temperature at each monitoring time point.

[0023] It should be added that the acquisition method of the start-up duration of the target equipment during each operation: it is detected by a current sensor, and its working principle is: the current sensor is used to detect the current change in the circuit. During the start-up process of the equipment, there is usually an obvious current rising stage. The time from when the equipment is powered on to when the current stabilizes at the normal operation value can reflect the start-up duration of the equipment. Its application method is: connect the current sensor in series in the power supply line of the equipment, and monitor the current change in real time. When the current starts to rise, record the time. When the current stabilizes near the current value during the normal operation of the equipment (a current threshold range can be set according to the specific parameters of the equipment), record the time again, and take the difference between the two times as the start-up duration of the target equipment.

[0024] It should be added that the acquisition method of the response duration of each instruction of the target device is obtained by detecting with an oscilloscope. Its working principle is as follows: The oscilloscope can display the waveform of the electrical signal changing with time in real time. For the electrical signal changes generated by the device after receiving an instruction, such as the fluctuations of voltage and current, the oscilloscope can accurately capture and measure the time parameters of these signals. It has a very high time resolution and can measure time intervals at the nanosecond or even picosecond level. It is applicable to electronic devices with high requirements for response duration. Its application method is: Connect the oscilloscope probe to the key circuit nodes related to instruction processing in the device, such as the instruction input interface, the input and output pins of the processor, the control signal output terminal, etc. When the device receives an instruction, the oscilloscope will record the time when the instruction signal arrives and the change time of the relevant signals when the device makes a response (such as outputting a control signal, performing a corresponding action, etc.). By calculating the difference between these two time points, the response duration of the instruction can be obtained. For example, for a military electronic detection device, when sending a test instruction, the oscilloscope can monitor the rising edge of the instruction input signal and observe the time point of the device output signal at the same time, and then take the time difference between the two as the response duration of this instruction.

[0025] It should be added that the displacement data of each moving part of the target device during each operation includes the set position coordinates and the actual position coordinates of each moving part. Then, the acquisition methods of the set position coordinates and the actual position coordinates of each moving part are as follows: The set position coordinates of each moving part are directly obtained in the control system of the target device. Before operating the target device, the operator needs to input or select the set positions of the corresponding moving parts in the control system according to the task requirements, and these input values are the set position coordinates. The actual position coordinates of each moving part are detected by a displacement sensor installed on the rotating shaft of the moving part.

[0026] It should be added that the vibration frequency of the target device at each monitoring time point is detected by a piezoelectric vibration sensor installed on the engine block.

[0027] It should be added that the temperature of the target device at each monitoring time point during each operation is detected by a temperature sensor.

[0028] Step 2: Analysis of device operation data: Based on the operation data of the target device in the operating state, conduct a pass analysis of the target device's operation to obtain the operation pass coefficient of the target device.

[0029] Please refer to Figure 2 As shown, exemplarily, the conduct of the pass analysis of the target device's operation includes: G1. Analyze the start response sensitivity coefficient of the target device according to the start duration of the target device during each operation.

[0030] Further, the start response sensitivity coefficient of the analysis target device includes: G1-1. Sort the start-up durations of the target device during each operation from largest to smallest, and then extract the median value of the start-up durations of the target device, denoted as .

[0031] G1-2. Calculate the average value of the start-up durations of the target device during each operation to obtain the average start-up duration of the target device, denoted as .

[0032] G1-3. Statistically analyze the start response sensitivity coefficient of the target device , , is the set reference start-up operation response duration.

[0033] It should be added that The setting method: Extract the mode from the start-up durations of the target device during each operation as the set reference start-up operation response duration.

[0034] G2. Similarly analyze to obtain the instruction response duration sensitivity coefficient of the target device according to the analysis method of the start response sensitivity coefficient of the target device.

[0035] G3. Extract the set position coordinates and actual position coordinates of each moving part of the target device during each operation from the displacement data of each moving part of the target device during each operation, and then statistically analyze the position accuracy coefficient of the target device.

[0036] Further, the statistical analysis of the position accuracy coefficient of the target device includes: G3-1. Denote the set position coordinates and actual position coordinates of each moving part of the target device during each operation as and , is the operation sequence number, , is the moving part number, .

[0037] G3-2. Statistically analyze the X-axis deviation coefficient of each moving part in the target device , , is the number of operations.

[0038] G3-3. Similarly statistically analyze to obtain the Y-axis deviation coefficient and Z-axis deviation coefficient of each moving part in the target device according to the statistical method of , and denote them as and .

[0039] G3-4. Extract the maximum value from the X-axis deviation coefficient, Y-axis deviation coefficient, and Z-axis deviation coefficient of each moving part in the target device as the position deviation coefficient of each moving part in the target device, denoted as .

[0040] G3-5. Statistically analyze the position accuracy coefficient of the target device , , is the number of moving parts, is the position deviation coefficient set as a reference.

[0041] It should be added that The setting method of: Subtract the set position coordinates and actual position coordinates of each moving part of the target device during each operation to obtain the X-axis deviation coefficient, Y-axis deviation coefficient, and Z-axis deviation coefficient of each moving part of the target device during each operation, and then extract the maximum value therefrom as the position deviation coefficient set as a reference.

[0042] G4. Analyze the operation stability coefficient of the target device based on the vibration frequency and temperature at each monitoring time point during each operation of the target device.

[0043] Furthermore, the analysis of the operation stability coefficient of the target device includes: G4-1. Compare the vibration frequency at each monitoring time point during each operation of the target device with the permitted vibration frequency range set as a reference.

[0044] G4-2. If the vibration frequency at a certain monitoring time point during a certain operation of the target device is less than the lower limit value of the permitted vibration frequency range set as a reference, then subtract the lower limit value from the upper limit value of the permitted vibration frequency range to obtain the permitted vibration frequency difference. Furthermore, take the difference between the lower limit value of the permitted vibration frequency range and the vibration frequency as the vibration frequency difference, and take the ratio of the vibration frequency difference to the permitted vibration frequency difference as the vibration frequency deviation coefficient of the target device at this monitoring time point during this operation.

[0045] G4-3. If the vibration frequency at a certain monitoring time point during a certain operation of the target device is within the permitted vibration frequency range set as a reference, then 0 is used as the vibration frequency deviation coefficient of the target device at this monitoring time point during this operation.

[0046] G4-4. If the vibration frequency at a certain monitoring time point during a certain operation of the target device is greater than the upper limit value of the permitted vibration frequency range set as a reference, then take the difference between the vibration frequency and the upper limit value of the permitted vibration frequency range as the vibration frequency difference, and take the ratio of the vibration frequency difference to the permitted vibration frequency difference as the vibration frequency deviation coefficient of the target device at this monitoring time point during this operation. In this way, obtain the vibration frequency deviation coefficient of the target device at each monitoring time point during each operation, denoted as , is the monitoring time point number, .

[0047] In a specific embodiment, after the aircraft completes a flight mission and lands, the ground crew quickly uses an aircraft engine comprehensive detector to detect the engine.

[0048] The 1st detection time point: The permitted vibration frequency range is [40Hz, 90Hz]. The vibration frequency measured by the detector is 35Hz, which is lower than the lower limit value of 40Hz of the permitted vibration frequency range. The permitted vibration frequency difference is 90Hz - 40Hz = 50Hz, and the vibration frequency difference is 40Hz - 35Hz = 5Hz. Then the vibration frequency deviation coefficient of this monitoring time point .

[0049] The 2nd detection time point: The detected vibration frequency is 60Hz, which is within the permitted vibration frequency range [40Hz, 90Hz]. Then the vibration frequency deviation coefficient of this monitoring time point .

[0050] The 3rd detection time point: The measured vibration frequency is 100Hz, which exceeds the upper limit value of 90Hz of the permitted vibration frequency range. The vibration frequency difference is 100Hz - 90Hz = 10Hz. Then the vibration frequency deviation coefficient of this monitoring time point .

[0051] G4-5. According to the temperature of the target device at each monitoring time point during each operation, the temperature deviation coefficient of the target device at each monitoring time point during each operation is obtained by the same analysis method as the vibration frequency deviation coefficient of the target device at each monitoring time point during each operation .

[0052] In a specific embodiment, temperature deviation coefficient calculation (detection after the same flight): While detecting the vibration frequency of the aircraft engine comprehensive detector, the temperature of the aircraft engine comprehensive detector is also monitored in real time.

[0053] The 1st detection time point: The permitted temperature range is [70°C, 90°C], the temperature is 65°C, which is lower than the lower limit value of 70°C of the permitted temperature range. The permitted temperature difference is 90°C - 70°C = 20°C, and the temperature difference is 70°C - 65°C = 5°C. Then the temperature deviation coefficient of this monitoring time point .

[0054] The 2nd detection time point: The temperature is 80°C, which is within the permitted temperature range [70°C, 90°C]. Then the temperature deviation coefficient of this monitoring time point .

[0055] The 3rd detection time point: The temperature is 95°C, which is higher than the upper limit value of the permitted temperature range of 90°C. The temperature difference is 95°C - 90°C = 5°C. Then the temperature deviation coefficient at this monitoring time point .

[0056] G4-6. Statistically calculate the operation stability coefficient of the target device , , is the number of monitoring time points, and are the weights of the vibration frequency deviation coefficient and the temperature deviation coefficient set as references respectively, , .

[0057] It should be added that the change in vibration frequency often directly reflects the operation state of the internal structure of the device. When the device is running, the cooperation and transmission between various components will generate certain vibrations. If the vibration frequency deviates from the normal range, it may mean problems such as component wear, looseness, and imbalance. These problems may lead to damage to the device structure, and in severe cases, may even cause device failures, affecting the normal operation and service life of the device. For example, for rotating devices such as motors and fans, abnormal changes in vibration frequency may be early signs of faults such as bearing wear and rotor imbalance. Therefore, the vibration frequency deviation coefficient is of great significance for evaluating the operation stability of the device and should be given a relatively large weight. The temperature of the device is affected by various factors. In addition to the operation state of the device itself, it may also be interfered by external factors such as environmental temperature and heat dissipation conditions. For example, in hot summer, the heat dissipation effect of the device may become poor, resulting in an increase in temperature, which does not necessarily guarantee that there are serious operation problems with the device itself. Therefore, the temperature deviation coefficient may not accurately reflect the operation state inside the device as accurately as the vibration frequency deviation coefficient, and its weight should be relatively small. Therefore, set , for the convenience of analysis, can be specifically taken as 0.6, can be specifically taken as 0.4.

[0058] In the embodiment of the present invention, by analyzing the vibration frequency and temperature at each monitoring time point during each operation of the military equipment maintenance support device, the operation stability coefficient of the military equipment maintenance support device is analyzed, the real-time state of the military equipment maintenance support device is accurately grasped, potential hidden dangers are discovered in time, thereby improving the accuracy of the operation stability analysis of the military equipment maintenance support device, reducing the risk of mission interruption caused by faults, and thus improving the safety of the military equipment maintenance support device.

[0059] G5. Select the minimum value from the start response sensitivity coefficient, command response duration sensitivity coefficient, position accuracy coefficient, and operation stability coefficient of the target device as the operation qualification coefficient of the target device.

[0060] In the embodiment of the present invention, by analyzing the operation qualification coefficient of military equipment maintenance support equipment according to the operation data of the military equipment maintenance support equipment, the problem of insufficient attention to the operation data during the operation of the military equipment maintenance support equipment is avoided. The operation status of the military equipment maintenance support equipment is comprehensively evaluated from multiple dimensions such as start-up response sensitivity, command response duration sensitivity, position accuracy, and operation stability. Furthermore, the pertinence of formulating the subsequent maintenance strategy of the military equipment maintenance support equipment is improved, which is conducive to extending the service life of the military equipment maintenance support equipment.

[0061] Step 3: Equipment maintenance data extraction: Extract the maintenance time, fault type, and maintenance duration of each maintenance of the target equipment.

[0062] It should be added that the maintenance time, fault type, and maintenance duration of each maintenance of the target equipment are all extracted from the military equipment maintenance support equipment assessment data cloud platform.

[0063] Step 4: Equipment maintenance data analysis: Based on the maintenance time, fault type, and maintenance duration of each maintenance of the target equipment, analyze the maintenance qualification coefficient of the target equipment.

[0064] Exemplarily, the analysis of the maintenance qualification coefficient of the target equipment includes: H1. According to the maintenance time of each maintenance of the target equipment, confirm the maintenance interval duration of each maintenance of the target equipment.

[0065] Furthermore, the confirmation of the maintenance interval duration of each maintenance of the target equipment includes: H1-1. Subtract the maintenance time of each maintenance of the target equipment from the maintenance time of its adjacent next maintenance to obtain the maintenance interval duration between each maintenance of the target equipment and its adjacent next maintenance. At the same time, use the interval duration between the last maintenance of the target equipment and the current monitoring time point as the maintenance interval duration of the last maintenance of the target equipment. Then, use the maintenance interval duration between each maintenance of the target equipment and its adjacent next maintenance and the maintenance interval duration of the last maintenance of the target equipment as the maintenance interval duration of each maintenance of the target equipment.

[0066] H2. Based on the maintenance interval duration of each maintenance of the target equipment, statistically calculate the maintenance interval time qualification coefficient of the target equipment.

[0067] Please refer to Figure 3 As shown, furthermore, the statistical calculation of the maintenance interval time qualification coefficient of the target equipment includes: H2-1. Divide the maintenance interval duration of each maintenance of the target equipment by the set reference maintenance interval duration.

[0068] H2-2. If the maintenance interval duration of a certain maintenance of the target device is greater than the permitted maintenance interval duration of the set reference, then this maintenance of the target device is recorded as a qualified maintenance with a qualified interval duration.

[0069] H2-3. Count the number of qualified maintenance with a qualified interval duration and the number of maintenance, and use the ratio of the number of qualified maintenance with a qualified interval duration to the number of maintenance as the qualified coefficient of the maintenance interval time of the target device.

[0070] H3. Calculate the average value of the maintenance interval durations of each maintenance of the target device to obtain the average maintenance interval duration of the target device, denoted as .

[0071] H4. Divide the average maintenance interval duration of the target device by the set reference maintenance cycle, and calculate the qualified coefficient of the maintenance frequency of the target device through the expression , where is the set reference maintenance cycle.

[0072] It should be added that the setting method of

[0073] : Sort the maintenance interval durations of each maintenance of the target device from large to small, and then extract the median value as the set reference maintenance cycle.

[0074] H5. According to the failure types and maintenance durations of each maintenance of the target device, count the qualified coefficient of the maintenance duration of the target device.

[0075] Furthermore, the counting of the qualified coefficient of the maintenance duration of the target device includes: H5-1. Match and compare the failure types of each maintenance of the target device with the failure types corresponding to each reference maintenance duration to obtain the reference maintenance duration of each maintenance of the target device.

[0076] H5-2. Divide the maintenance duration of each maintenance of the target device by its reference maintenance duration.

[0077] H5-3. If the maintenance duration of a certain maintenance of the target device is less than its reference maintenance duration, then record the maintenance duration deviation coefficient of this maintenance of the target device as 0; otherwise, calculate the difference between the maintenance duration and the reference maintenance duration, and use the ratio of the difference to the reference maintenance duration as the maintenance duration deviation coefficient of this maintenance of the target device, and then obtain the maintenance duration deviation coefficients of each maintenance of the target device, and calculate their average value to obtain the maintenance duration deviation coefficient of the target device.

[0078] In the embodiments of the present invention, by statistically analyzing the fault types and maintenance durations of each maintenance of military equipment maintenance support equipment, the deviation coefficient of the maintenance duration of military equipment maintenance support equipment is calculated. By comprehensively considering the fault types and maintenance durations, the accuracy of fault maintenance analysis is significantly improved. Furthermore, the prediction accuracy of potential subsequent faults of military equipment maintenance support equipment is enhanced, thereby improving the stability of military equipment maintenance support equipment.

[0079] H6. Calculate the average value of the maintenance interval time qualification coefficient, maintenance frequency qualification coefficient, and maintenance duration deviation coefficient of the target equipment to obtain the maintenance qualification coefficient of the target equipment.

[0080] In the embodiments of the present invention, by analyzing the maintenance qualification coefficient of military equipment maintenance support equipment based on the maintenance time, fault types, and maintenance durations of each maintenance of military equipment maintenance support equipment, the deficiency in the current attention to the maintenance duration during each maintenance of military equipment maintenance support equipment is broken. The timeliness of maintenance demand judgment is improved, and furthermore, the reliability of the evaluation of the equipment status of military equipment maintenance support equipment is ensured, thereby improving the evaluation accuracy of the assessment data of military equipment maintenance support equipment.

[0081] Step Five: Equipment assessment confirmation and feedback: Based on the operation qualification coefficient and maintenance qualification coefficient of the target equipment, confirm the assessment score of the target equipment and provide corresponding feedback in the cloud platform for the assessment data of military equipment maintenance support equipment.

[0082] Exemplarily, the confirmation of the assessment score of the target equipment includes: extracting the operation qualification coefficient and maintenance qualification coefficient of the target equipment.

[0083] Take the average calculation result of the operation qualification coefficient and maintenance qualification coefficient of the target equipment as the assessment qualification coefficient of the target equipment.

[0084] Match and compare the assessment qualification coefficient of the target equipment with the assessment qualification coefficient intervals corresponding to each set reference assessment score to obtain the assessment score of the target equipment.

[0085] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all should belong to the protection scope of the present invention.

Claims

1. A method for collecting and analyzing assessment data of military equipment maintenance support equipment, characterized in that: The method includes: Step 1, collecting operation data of the device: Collecting the operation data of the target device in the running state, including the startup duration of each operation, the response duration of each instruction, the displacement data of each moving part, and the vibration frequency and temperature at each monitoring time point; Step 2, analyzing the operation data of the device: Based on the operation data of the target device in the running state, performing a qualified analysis of the operation of the target device to obtain the operation qualification coefficient of the target device; Step 3, extracting maintenance data of the device: Extracting the maintenance time, fault type, and maintenance duration of each maintenance of the target device; Step 4, analyzing the maintenance data of the device: Based on the maintenance time, fault type, and maintenance duration of each maintenance of the target device, analyzing the maintenance qualification coefficient of the target device; Step 5, confirming and giving feedback on the assessment of the device: Based on the operation qualification coefficient and maintenance qualification coefficient of the target device, confirming the assessment score of the target device and giving corresponding feedback in the military equipment maintenance support equipment assessment data cloud platform.

2. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 1, characterized in that: The performing a qualified analysis of the operation of the target device includes: G1. Analyzing the startup response sensitivity coefficient of the target device according to the startup duration of the target device in each operation; G2. Similarly analyzing to obtain the instruction response duration sensitivity coefficient of the target device in the same way as the analysis method of the startup response sensitivity coefficient of the target device; G3. Extracting the set position coordinates and actual position coordinates of each moving part of the target device in each operation from the displacement data of each moving part of the target device in each operation, and then statistically calculating the position accuracy coefficient of the target device; G4. Analyzing the operation stability coefficient of the target device according to the vibration frequency and temperature at each monitoring time point of the target device in each operation; G5. Selecting the minimum value from the startup response sensitivity coefficient, instruction response duration sensitivity coefficient, position accuracy coefficient, and operation stability coefficient of the target device as the operation qualification coefficient of the target device.

3. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 2, characterized in that: The analyzing the startup response sensitivity coefficient of the target device includes: Sort the startup durations of the target device during each run from largest to smallest, and then extract the median value of the startup durations of the target device, denoted as ; Calculate the average value of the startup durations of the target device during each run to obtain the average startup duration of the target device, denoted as ; Statistically calculate the startup response sensitivity coefficient of the target device .

4. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 2, characterized in that: The statistically calculating the position accuracy coefficient of the target device includes: Record the set position coordinates and actual position coordinates of each moving part of the target device during each run as and , is the running order number, , is the moving part number, ; Statistically calculate the X-axis deviation coefficient of each moving part in the target device ; According to the statistical method, the Y-axis deviation coefficient and Z-axis deviation coefficient of each moving part in the target device are statistically obtained in the same way, and are respectively denoted as and ; Extract the maximum value from the X-axis deviation coefficient, Y-axis deviation coefficient, and Z-axis deviation coefficient of each moving part in the target device as the position deviation coefficient of each moving part in the target device, denoted as ; Statistically calculate the location accuracy coefficient of the target device .

5. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 2, characterized in that: The analyzing the operation stability coefficient of the target device includes: Comparing the vibration frequency of the target device at each monitoring time point in each operation with the permitted vibration frequency range of the set reference; If the vibration frequency of the target device at a certain monitoring time point in a certain operation is less than the lower limit value of the permitted vibration frequency range of the set reference, then subtracting the lower limit value from the upper limit value of the permitted vibration frequency range to obtain the permitted vibration frequency difference, and then taking the difference between the lower limit value of the permitted vibration frequency range and the vibration frequency as the vibration frequency difference, and taking the ratio of the vibration frequency difference to the permitted vibration frequency difference as the vibration frequency deviation coefficient of the target device at this monitoring time point in this operation; If the vibration frequency of the target device at a certain monitoring time point in a certain operation is within the permitted vibration frequency range of the set reference, then 0 is used as the vibration frequency deviation coefficient of the target device at this monitoring time point in this operation; If the vibration frequency of the target device at a certain monitoring time point during a certain operation is greater than the upper limit value of the permitted vibration frequency range set as a reference, then the difference between the vibration frequency and the upper limit value of the permitted vibration frequency range is used as the vibration frequency difference, and the ratio of the vibration frequency difference to the permitted vibration frequency difference is used as the vibration frequency deviation coefficient of the target device at this monitoring time point during this operation. In this way, the vibration frequency deviation coefficients of the target device at each monitoring time point during each operation are obtained, denoted as , is the monitoring time point number, ; According to the temperatures of the target device at each monitoring time point during each operation, the temperature deviation coefficients of the target device at each monitoring time point during each operation are obtained by the same analysis method as the analysis method of the vibration frequency deviation coefficients of the target device at each monitoring time point during each operation ; Statistically analyze the operation stability coefficient of the target device .

6. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 1, characterized in that: The analyzing the maintenance qualification coefficient of the target device includes: H1. Confirming the maintenance interval duration of each maintenance of the target device according to the maintenance time of each maintenance of the target device; H2. Based on the maintenance interval durations of each maintenance of the target device, calculate the maintenance interval time qualification coefficient of the target device; H3. Calculate the average maintenance interval duration of each maintenance of the target device to obtain the average maintenance interval duration of the target device, denoted as ; H4. Compare the average maintenance interval duration of the target device with the set reference maintenance cycle to calculate the maintenance frequency qualification coefficient of the target device; H5. Based on the failure types and maintenance durations of each maintenance of the target device, calculate the maintenance duration qualification coefficient of the target device; H6. Calculate the average value of the maintenance interval time qualification coefficient, maintenance frequency qualification coefficient, and maintenance duration qualification coefficient of the target device to obtain the maintenance qualification coefficient of the target device.

7. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 6, characterized in that: The confirmation of the maintenance interval durations of each maintenance of the target device includes: Calculate the difference between the maintenance time of each maintenance of the target device and the maintenance time of its adjacent next maintenance to obtain the maintenance interval duration between each maintenance of the target device and its adjacent next maintenance. At the same time, use the interval duration between the last maintenance of the target device and the current monitoring time point as the maintenance interval duration of the last maintenance of the target device. Then, use the maintenance interval durations between each maintenance of the target device and its adjacent next maintenance and the maintenance interval duration of the last maintenance of the target device as the maintenance interval durations of each maintenance of the target device.

8. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 6, characterized in that: The calculation of the maintenance interval time qualification coefficient of the target device includes: Compare the maintenance interval durations of each maintenance of the target device with the set reference maintenance interval duration; If the maintenance interval duration of a certain maintenance of the target device is greater than the set reference permitted maintenance interval duration, record this maintenance of the target device as a maintenance with qualified interval duration; Count the number of maintenances with qualified interval duration and the total number of maintenances, and use the ratio of the number of maintenances with qualified interval duration to the total number of maintenances as the maintenance interval time qualification coefficient of the target device.

9. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 6, characterized in that: The calculation of the maintenance duration qualification coefficient of the target device includes: Match and compare the failure types of each maintenance of the target device with the failure types corresponding to each reference maintenance duration to obtain the reference maintenance duration of each maintenance of the target device; Compare the maintenance duration of each maintenance of the target device with its reference maintenance duration; If the maintenance duration of a certain maintenance of the target device is less than its reference maintenance duration, record the maintenance duration deviation coefficient of this maintenance of the target device as 0. Otherwise, calculate the difference between the maintenance duration and the reference maintenance duration, and use the ratio of the difference to the reference maintenance duration as the maintenance duration deviation coefficient of this maintenance of the target device. Then, obtain the maintenance duration deviation coefficients of each maintenance of the target device and calculate their average value to obtain the maintenance duration deviation coefficient of the target device; Use 1 minus the maintenance duration deviation coefficient of the target device as the maintenance duration qualification coefficient of the target device.

10. A method for collecting and analyzing assessment data of military equipment maintenance support equipment according to claim 6, characterized in that: The confirmation of the assessment score of the target device includes: Extract the operation qualification coefficient and maintenance qualification coefficient of the target device; Use the average value calculation result of the operation qualification coefficient and maintenance qualification coefficient of the target device as the assessment qualification coefficient of the target device; Match and compare the assessment qualification coefficient of the target device with the assessment qualification coefficient intervals corresponding to each set reference assessment score to obtain the assessment score of the target device.

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