A method for collecting and analyzing equipment scrapping data based on military equipment

Abstract

The present invention relates to the technical field of scrapping monitoring, and in particular to a method for collecting and analyzing scrapping data of military equipment, comprising: S1, acquiring operating data of an armored vehicle when in use from a management database of the armored vehicle; S2, identifying the acquired operating data, and determining the operating conditions of various equipment in the armored vehicle during operation; S3, determining the usable time and frequency of use of various equipment when in use, and determining the usability corresponding to various equipment according to the operating conditions of various equipment in the armored vehicle; S4, determining the loss degree of structure and parts of various equipment according to the operating conditions of various equipment in the armored vehicle; and by calculating multiple indicators such as the usability, loss degree, and control delay degree of the equipment, the one-sidedness of single indicator evaluation is avoided, and the accuracy of evaluation is improved.

Description

Technical Field

[0001] The invention relates to the technical field of scrapping monitoring, and in particular to a method for collecting and analyzing equipment scrapping data based on military equipment. Background Art

[0002] Tracked armored vehicles are one of the indispensable weapons in national defense, and their quality affects the combat effectiveness. Therefore, it is necessary to analyze the vehicle conditions of tracked armored vehicles in order to eliminate scrapped tracked armored vehicles in a timely manner.

[0003] For example, Chinese patent publication No. CN115950647A discloses a method for monitoring, diagnosing and analyzing the scrapping of electromechanical equipment, which includes obtaining armored vehicle parts information, armored vehicle parts age analysis, armored vehicle energy consumption information acquisition, armored vehicle energy consumption status analysis, armored vehicle sensitivity information acquisition, armored vehicle sensitivity status analysis, armored vehicle comprehensive status analysis, armored vehicle comprehensive status judgment and armored vehicle scrapping warning.

[0004] In the prior art, the status of an armored vehicle is mainly identified by the usage time, energy consumption, and brake sensitivity of each accessory of the armored vehicle. However, when identifying an armored vehicle, it is also necessary to consider the operating conditions of each device in the armored vehicle, as well as the response time and actual usage of each device under the operating conditions to determine whether each device meets the requirements when used. For example, the maintenance cost of the equipment, the cost of the corresponding efficiency loss when the equipment is close to being scrapped, and the residual value of the corresponding equipment also need to be judged. Summary of the invention

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] As a preferred technical solution of the present invention, a method for collecting and analyzing equipment scrapping data based on military equipment includes:

[0007] S1, obtaining the operation data of the armored vehicle when in use from the management database of the armored vehicle;

[0008] S2, identifying the acquired operation data and determining the operation status of each device in the armored vehicle during operation;

[0009] S3, according to the operating conditions of each device in the armored vehicle, determining the usability time and frequency of each device when in use, and determining the usability corresponding to each device;

[0010] S4, according to the operating conditions of various equipment in the armored vehicle, determine the degree of wear and tear of the structure and parts of each equipment;

[0011] S5, determining the reaction duration and reaction time of each device according to the operation status of each device in the armored vehicle, and obtaining the control delay degree of the reaction duration and reaction time;

[0012] S6, by obtaining the usability, loss and control delay of each device, the comprehensive coefficient of each device of the armored vehicle is calculated, and the scrapping status of each device on the current armored vehicle is determined according to the comprehensive coefficient.

[0013] The beneficial effects of the present invention are as follows: 1. By collecting and analyzing the operating data of armored vehicle equipment, the present invention can accurately understand the operating status of the equipment, discover abnormal conditions in time, and provide a reference for subsequent maintenance and use.

[0014] 2. The present invention can comprehensively evaluate the performance and life of the equipment by calculating multiple indicators such as the usability, loss, and control delay of the equipment, thereby avoiding the one-sidedness of single indicator evaluation.

[0015] 3. The calculation of the comprehensive coefficient takes into account the influence of multiple factors, which can more accurately reflect the overall condition of the equipment and provide a scientific basis for the judgment of equipment scrapping.

[0016] Fourth, the present invention can timely discover and deal with equipment problems, extend the service life of the equipment, improve the efficiency and safety of the equipment, and avoid waste of resources and potential safety hazards caused by inaccurate judgment of equipment scrapping. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0018] Figure 1 It is a flow chart of a method for collecting and analyzing equipment scrapping data based on military equipment;

[0019] Figure 2 It is a flow chart of step S2 of a method for collecting and analyzing equipment scrapping data based on military equipment;

[0020] Figure 3 It is a flow chart of step S3 of a method for collecting and analyzing equipment scrapping data based on military equipment;

[0021] Figure 4 It is a flow chart of step S4 of a method for collecting and analyzing equipment scrapping data based on military equipment;

[0022] Figure 5 The present invention is a flowchart of step S43 of a method for collecting and analyzing equipment scrapping data based on military equipment. DETAILED DESCRIPTION

[0023] The embodiments of the present invention are described in detail below. The embodiments described below are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention. If no specific techniques or conditions are specified in the embodiments, the techniques or conditions described in the literature in the art or the product specifications are used.

[0024] See also Figure 1 , a method for collecting and analyzing equipment scrapping data based on military equipment, comprising:

[0025] S1, obtaining the operation data of the armored vehicle when in use from the management database of the armored vehicle;

[0026] S2, identifying the acquired operation data and determining the operation status of each device in the armored vehicle during operation;

[0027] S3, according to the operating conditions of each device in the armored vehicle, determining the usability time and frequency of each device when in use, and determining the usability corresponding to each device;

[0028] S4, according to the operating conditions of various equipment in the armored vehicle, determine the degree of wear and tear of the structure and parts of each equipment;

[0029] S5, determining the reaction duration and reaction time of each device according to the operation status of each device in the armored vehicle, and obtaining the control delay degree of the reaction duration and reaction time;

[0030] S6, by obtaining the usability, loss and control delay of each device, the comprehensive coefficient of each device of the armored vehicle is calculated, and the scrapping status of each device on the current armored vehicle is determined according to the comprehensive coefficient.

[0031] Acquiring the operating information of the armored vehicle when in use includes acquiring parameters related to the natural operation of the equipment, parameters related to the use of the equipment, and parameters related to the cost of the equipment.

[0032] Various sensors installed on the armored vehicle (such as temperature sensors, pressure sensors, vibration sensors, etc.) are used to collect the operating data of various devices in the vehicle in real time. The operating data also includes the operating data of various devices on the armored vehicle obtained through regular inspections.

[0033] When determining whether the current armored vehicle equipment is in a scrap state, a comprehensive judgment is made on the equipment's maintenance cost, the cost of the corresponding efficiency loss when the equipment is close to scrapping, the corresponding equipment residual value, the parameters of the equipment itself during operation, and the delay in the use of the equipment to determine whether the current equipment is close to scrapping. Alternatively, equipment whose parameters during operation are normal but other aspects have major problems can be identified. The armored vehicle equipment with these problems can be scrapped to obtain the armored vehicle equipment that needs to be used.

[0034] In one embodiment of the present invention, Figure 2 As shown, the method for judging the operating status of each device in the armored vehicle in step S2 includes:

[0035] S21, determining the parameter range for normal operation of each device;

[0036] S22, identifying the difference between the abnormal parameter range and the normal parameter range when each device has an abnormality, determining the cause of the abnormality, and outputting it as the operating status of each device.

[0037] In this step, the operating parameters of each device in the armored vehicle and the parameters obtained by inspection are preprocessed, and the parameter range of each device when the vehicle is running is screened out to find the parameters of the main abnormalities when the abnormalities occur, and the values ​​of these parameters are used as the standard for identifying the current vehicle operating status.

[0038] In one embodiment of the present invention, Figure 3 As shown, the method for obtaining the availability in step S3 includes:

[0039] S31, determining an average usage rate of each device when it is in use according to the usable time and usage frequency of each device;

[0040] S32, determining maintenance costs corresponding to different average usage rates according to the average usage rates;

[0041] S33, determining the usable frequency and lifespan of each corresponding device according to the average usage rate and maintenance cost, and outputting them as usability.

[0042] The average usage rate is expressed as the ratio between the actual usage time of the device and the usable time, expressed as:

[0043]

[0044] Among them, AUR is the average utilization rate, T U is the actual usage time of the device, T A The length of time the device can be used.

[0045] After obtaining the average utilization rate, the maintenance cost corresponding to different average utilization rates is expressed as:

[0046] MC=a×e b×AUR ;

[0047] Among them, MC is the maintenance cost, a and b are parameters determined by data fitting, which are used to measure the maintenance costs corresponding to different usage rates.

[0048] The final availability is expressed as:

[0049] UD=AUR c ×MC d ×L f ;

[0050] Among them, UD represents the usability of the equipment, c, d, and f represent index parameters used to balance the usability of the equipment, and L is the expected life of the equipment.

[0051] By understanding the relationship between maintenance cost and usage rate, the frequency of equipment use can be adjusted to achieve the optimal balance between equipment use and maintenance cost; high usage rate may increase the risk of equipment damage, which in turn causes a sharp increase in maintenance costs. The exponential function model can help identify this risk point so that corresponding preventive measures can be taken. Based on the usability obtained in this part, the cost of the current treatment method after high-frequency use or multiple uses can be known, which is convenient for subsequent verification of the current equipment status and then choosing whether to scrap it.

[0052] In one embodiment of the present invention, after obtaining the usability, the status of the current equipment is analyzed to determine whether the equipment is worn, as well as cracks that appear on the armor, chassis, corresponding equipment, and component structures after the corresponding wear, and the damage of the corresponding components is determined, the damaged points are identified, and the damaged points are analyzed to determine the corresponding status of the damaged points and the way they need to be handled.

[0053] Specifically, Figure 4 As shown, the method of obtaining the loss degree of the structure and parts in step S4 includes:

[0054] S41, according to the operating conditions of each device in the armored vehicle, identifying the oxidation degree, corrosion degree, use wear degree, and fatigue strength limit of the corresponding equipment in the current armored vehicle, and determining the use limit of each device;

[0055] S42, identifying cracks on the equipment according to the usage limit of each equipment, and identifying the location and direction of the cracks;

[0056] S43, according to the crack location and crack direction, simulate the stress distribution of the parts corresponding to the crack under the impact energy, and analyze the cause and direction of the crack according to the simulation results and the actual crack situation;

[0057] S44, determining the vibration, displacement, acceleration and stiffness corresponding to the armored vehicle when a crack occurs, and outputting the calculation results of the vibration, displacement, acceleration, stiffness and crack corresponding parameters of the armored equipment as the loss degree.

[0058] When determining the corresponding structure and parts loss of the armored vehicle, the wear condition of the corresponding parts can be known by determining the degree of oxidation, corrosion and wear on the corresponding equipment. At this time, the fatigue strength limit is additionally obtained. The maximum stress value of the material that will not be damaged under infinite alternating loads can reflect the current equipment's ability to withstand cyclic stress. The fatigue strength limit is the maximum stress value that does not cause damage after an infinite number of stress cycles. In actual operation, since it is impossible to conduct a truly "infinite number of" test, a specific number of cycles is usually used to define the fatigue limit. For example, for steel, the maximum stress that is not fatigued after 10^7 stress cycles at room temperature is defined as the fatigue limit of the steel.

[0059] After setting the corresponding fatigue strength limits of the current equipment in the armored vehicle according to different materials, the number of times each part can still work after receiving a certain amount of oxidation corrosion is determined, and the cracks that appear on the equipment under the corresponding working times are identified. The identified cracks can be detected through the acoustic emission detection system. By analyzing the acoustic emission signals emitted by the cracks of the armored vehicle under loading, the crack damage can be effectively detected to detect the damage on the armored vehicle. The metal crack detector can also be used to identify crack defects caused by fatigue, corrosion and other reasons on the surface of ferromagnetic metals, non-ferromagnetic metals and alloy materials. In this way, the location and direction of the corresponding cracks after the armored vehicle suffers corresponding damage are determined, and the operation scenario of the armored vehicle is simulated to find out the cause of the cracks to prevent damage caused by the use of the armored vehicle.

[0060] In order to further analyze whether the corresponding structure of the current armored vehicle needs to be replaced when cracks appear, it is also necessary to analyze the corresponding stiffness of the armored vehicle. According to the change value of the stiffness affected by the cracks, it is determined whether the current material is prone to fracture, and the corresponding identified data is output as the current loss degree; if the stiffness is too large, the system will react sensitively to vibrations, which may lead to a decrease in ride comfort. For example, the vibrations caused by engine operation and uneven road conditions will be clearly transmitted to the vehicle body, making passengers feel uncomfortable; if the stiffness is too small, the system may be too soft, resulting in a decrease in handling stability and may even affect driving safety.

[0061] Specifically, the usage limit of each device is expressed as:

[0062] The degree of oxidation can be evaluated by observation or chemical analysis, and the rate of oxide layer formation is converted into an indicator. The degree of corrosion is detected by ultrasonic testing of the internal corrosion of the material, and the mass loss method is used to obtain the corrosion rate indicator corresponding to the degree of corrosion. The degree of wear is expressed by measuring the dimensional change of the parts and determining the volume wear. The fatigue strength limit of the material is determined by the stress-life curve (SN curve). The service limit of the equipment is a comprehensive evaluation result of the degree of oxidation, degree of corrosion, service wear and fatigue strength limit.

[0063] The formula is:

[0064]

[0065] Among them, S is the use limit of the equipment, X1i is the i-th oxidation degree parameter of the equipment, is the standard value of the ith oxidation degree parameter of the equipment, is the i-th corrosion degree parameter of the equipment, X2i is the standard value of the i-th corrosion degree parameter of the equipment, X3i is the i-th wear degree parameter of the equipment, is the standard value of the i-th wear parameter of the equipment, X4i is the i-th fatigue strength limit parameter of the equipment, is the standard value of the i-th fatigue strength limit parameter of the equipment, w1i, w2i, w3i, and w4i are the weights of the oxidation degree, corrosion degree, wear degree, and fatigue strength limit, respectively, which are used to balance the weights between different parameters.

[0066] After obtaining the equipment usage limit, obtain the crack position and number corresponding to the current usage calculation value to determine whether there are cracks under the current usage level. Perform finite element analysis on these identified cracks to obtain the specific cause of the crack and the direction of movement after it occurs.

[0067] Specifically, Figure 5 As shown, the processing method for the cause and direction of the crack in step S43 includes:

[0068] S431, specify material properties for the device corresponding to the crack, such as elastic modulus E, Poisson's ratio, and determine the definition constraints and external loads of the device; the definition constraints are the boundary conditions of the corresponding device, which are used to constrain the displacement of each node on the device; the external loads are expressed as the impact force, pressure, etc. received by the device;

[0069] S432, constructing a stiffness matrix according to the material properties of the device, combining the stiffness matrices of each node on the device to obtain an overall stiffness matrix, converting the external load into a node force vector, and determining the displacement of each node on the device according to the overall stiffness matrix and the node force vector;

[0070] S433, according to the displacement of each node on the device, the displacement distribution on the device is determined, and the direction with the most displacement distribution changes is used as the predicted crack direction, and the predicted crack direction is compared with the actual crack direction to determine the cause and direction of the crack.

[0071] For the above-mentioned node displacement {U}, according to the overall stiffness matrix [K] and the known node force vector {F} (usually determined by external loads and boundary conditions), a linear equation group [K]{U}={F} can be established. The node displacement {U} is an unknown quantity and is obtained by solving the equation group.

[0072] When the displacement of the node is obtained, the direction of change of the displacement on the node is identified, and the direction with the most changes is selected as the direction of predicted crack generation. The predicted direction is compared with the actual direction, and the difference between the comparisons and the data corresponding to the difference are determined. The cause of the crack is determined based on this data.

[0073] If the predicted direction is consistent or close to the actual direction, possible causes include: stress concentration caused by continuous external loads, material fatigue, and defects in equipment design or manufacturing.

[0074] If the predicted direction differs significantly from the actual direction, possible causes include: unexpected external shocks or loads, sudden changes in the equipment operating environment (such as temperature, humidity), and internal defects or inhomogeneities of the material.

[0075] Specifically, the implementation method of the loss degree is expressed as:

[0076] LD=w V ×V+w D ×D+w A ×A+w SC ×SC+w C ×C;

[0077] Among them, LD is the loss of the equipment, w V It is represented by the weight corresponding to the vibration parameter, V represents the vibration parameter, w D It is represented as the weight of the displacement parameter, D is represented as the displacement parameter, w A It is represented as the weight of the acceleration parameter, A is represented as the acceleration parameter, w SC is represented as the weight of the stiffness parameter of the device, SC is represented as the stiffness parameter of the device, and w C It is represented as the weight of the parameter corresponding to the crack, and C is represented as the parameter corresponding to the crack.

[0078] In one embodiment of the present invention, the processing method for the vibration, displacement and acceleration corresponding to the driving of the armored vehicle also includes extracting the amplitude, frequency, displacement and acceleration peak as detection parameters; determining the correlation between the detection parameters and the stiffness and cracks of the armored vehicle to understand the influence of the detection parameters on the generation of cracks.

[0079] After the amplitude, frequency, displacement and acceleration peak are extracted, the loss degree is realized in the specific form:

[0080] Based on the maximum amplitude and maximum frequency, the corresponding displacement and acceleration peak are obtained, and the residual between the parameters corresponding to the crack between the maximum amplitude, maximum frequency and the minimum amplitude, minimum frequency is used as the parameters corresponding to the crack for the current loss calculation. The corresponding stiffness parameters, displacement and acceleration peak are weighted averaged to obtain the corresponding loss.

[0081] The formula is:

[0082] LD=w Vmax ×V max +w D1 ×D1+w A1 ×A1+w SC1 ×SC1+w C1 ×C1;

[0083] Among them, LD is the loss of the equipment, w Vmax Expressed as the weight of the vibration parameter corresponding to the maximum amplitude and maximum frequency, V max Expressed as the vibration parameter corresponding to the maximum amplitude and maximum frequency, w D1 It is expressed as the weight of the displacement parameter corresponding to the maximum amplitude and the maximum frequency, D1 is expressed as the displacement parameter corresponding to the maximum amplitude and the maximum frequency, w A1 A1 is the weight of the acceleration parameter corresponding to the maximum amplitude and the maximum frequency, and w SC1 It is expressed as the weight of the stiffness parameter corresponding to the maximum amplitude and the maximum frequency, SC1 is expressed as the stiffness parameter corresponding to the maximum amplitude and the maximum frequency, w C1 It is expressed as the weight of the parameter residual corresponding to the crack between the maximum amplitude, maximum frequency and the minimum amplitude, minimum frequency, and C1 is the residual of the parameter corresponding to the crack between the maximum amplitude, maximum frequency and the minimum amplitude, minimum frequency.

[0084] By obtaining the amplitude and frequency of the protrusion at this time, it is possible to know the main protrusion state during operation, thereby assisting in checking the corresponding crack and stiffness parameters to check whether there is a risk in the current armored vehicle.

[0085] In one embodiment of the present invention, the control delay of the current armored vehicle equipment is obtained based on the extracted reaction duration and reaction time, and the time required for the corresponding armored vehicle equipment to operate is determined.

[0086] In this embodiment, the reaction time includes: device startup time and system response time; the reaction time includes: device response time, system stabilization time and comprehensive reaction time.

[0087] Equipment startup time: the time required from receiving the startup command to the time when the equipment starts to operate. For example, when a system or equipment in an armored vehicle receives a startup command, it takes time from the start of executing the command to the time when the equipment enters normal working state.

[0088] System response time: The time from when each system in the armored vehicle starts processing the operation instruction to when the system generates corresponding feedback. This period of time reflects the processing speed and efficiency within the system.

[0089] Equipment response time: refers to the time from when the device receives a command to when it actually completes the operation or achieves the expected effect. For example, when the armored vehicle's weapon system receives a firing command, it takes time from when the command is issued to when the weapon is actually fired.

[0090] System stabilization time: The time required for the system to recover from an unstable state to a stable state when the armored vehicle is moving quickly or performing complex tasks. This period of time reflects the stability and regulation ability of the system.

[0091] Comprehensive reaction time: For the active protection system of armored vehicles, the comprehensive reaction time may include the total time of the entire timing process including self-defense warning, passive interference, active interference, firepower destruction, etc. This time parameter is crucial for evaluating the survivability and combat effectiveness of armored vehicles on the battlefield.

[0092] Specifically, the implementation of step S5 includes:

[0093] Obtain the response time and response duration of armored vehicle equipment. The response duration includes: equipment startup time and system response time; the response time includes: equipment response time, system stabilization time, and comprehensive response time;

[0094] Obtaining a first reaction coefficient corresponding to the reaction time and a second reaction coefficient corresponding to the reaction time;

[0095] The control delay of the armored vehicle equipment is determined based on the first reaction coefficient and the second reaction coefficient.

[0096] The first reaction coefficient is expressed as:

[0097]

[0098] Among them, δ1 is the first reaction coefficient, DB is the actually measured device startup time, DB′ is the standard value of the device startup time, SR is the actually measured system response time, SR′ is the standard value of the system response time, λ1 is the weight of the device startup time, and λ2 is the weight of the system response time.

[0099] The first reaction coefficient obtained is used to quantify the performance of the reaction time and help evaluate the armored vehicle's ability to respond quickly when encountering a threat. Specifically, the first reaction coefficient reflects the efficiency of the armored vehicle equipment during the startup or response phase. By evaluating the performance of the armored vehicle in terms of reaction time, it is possible to screen out armored vehicle equipment that is slow to respond and unsuitable for use, thereby improving the performance of the armored vehicle during use.

[0100] The second reaction coefficient is:

[0101]

[0102] Among them, δ2 is the second reaction coefficient, DR is the actually measured device response time, DR′ is the standard value of the device response time, SS is the actually measured system stabilization time, SS′ is the standard value of the system stabilization time, CR is the actually measured comprehensive reaction time, CR′ is the standard value of the comprehensive reaction time, μ1 is the weight of the device response time, μ2 is the weight of the system stabilization time, and μ3 is the weight of the comprehensive reaction time.

[0103] The second reaction coefficient is used to evaluate the performance of armored vehicle equipment under continuous operation and stable conditions. The second reaction coefficient reflects the reliability and durability of armored vehicle equipment in the stable working stage. By obtaining the performance in the continuous working stage, the armored vehicle can be evaluated accordingly under long-term use to determine whether the current vehicle can meet long-term use requirements.

[0104] The control delay is expressed as:

[0105]

[0106] in, To control the delay, δ1 is the first reaction coefficient, δ2 is the second reaction coefficient, σ1 is the weight of the first reaction coefficient, and σ2 is the weight of the second reaction coefficient.

[0107] Controlling the delay can reflect the differences in the response performance of armored vehicles, determine the performance in actual use of armored vehicles, and assist in selecting slow-responding and unsuitable equipment.

[0108] In one embodiment of the present invention, the usability, loss and control delay are calculated to determine a final comprehensive coefficient to identify the current scrap status of the armored vehicle equipment.

[0109] Specifically, in step S6, the calculation is performed based on the availability, loss, and control delay, and the calculated comprehensive coefficient is expressed as follows:

[0110]

[0111] Among them, ξ is the comprehensive coefficient corresponding to the armored vehicle equipment, To control the delay, LD is the loss of the device, UD is the availability of the device, τ1, τ2, τ3 are the weights corresponding to the availability, loss, and control delay of the device, respectively.

[0112] The obtained comprehensive coefficient can be used to determine whether the current armored vehicle equipment is in a scrap state. If it is in a scrap state, the corresponding equipment will be discarded.

[0113] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still within the scope of protection of the present invention.

Claims

1. A method for collecting and analyzing equipment scrapping data based on military equipment, characterized in that: include: S1, obtaining the operation data of the armored vehicle when in use from the management database of the armored vehicle; S2, identifying the acquired operation data and determining the operation status of each device in the armored vehicle during operation; S3, according to the operating conditions of each device in the armored vehicle, determining the usability time and frequency of each device when in use, and determining the usability corresponding to each device; S4, according to the operating conditions of various equipment in the armored vehicle, determine the degree of wear and tear of the structure and parts of each equipment; S5, determining the first reaction time and the second reaction time of each device according to the operating conditions of each device in the armored vehicle, and obtaining the control delay of the first reaction time and the second reaction time; S6, calculating the comprehensive coefficient of each device of the armored vehicle by obtaining the usability, loss degree, and control delay degree of each device, and determining the scrapping status of each device on the current armored vehicle according to the comprehensive coefficient; The method for determining the loss degree of the structure and parts in step S4 includes: S41, according to the operating conditions of each device in the armored vehicle, identifying the oxidation degree, corrosion degree, use wear degree, and fatigue strength limit of the corresponding equipment in the current armored vehicle, and determining the use limit of each device; S42, identifying cracks on the equipment according to the usage limit of each equipment, and identifying the location and direction of the cracks; S43, according to the crack location and crack direction, simulate the stress distribution of the parts corresponding to the crack under the impact energy, and analyze the cause and direction of the crack according to the simulation results and the actual crack situation; S44, determining the vibration, displacement, acceleration and stiffness corresponding to the armored vehicle when the crack occurs, and outputting the calculation results of the vibration, displacement, acceleration, stiffness and crack corresponding parameters of the armored equipment as the loss degree; The implementation method of the loss degree is expressed as: ； in, is the loss of the equipment, Expressed as the weight corresponding to the vibration parameter, Expressed as vibration parameters, is expressed as the weight of the displacement parameter, Expressed as a displacement parameter, Expressed as the weight of the acceleration parameter, Expressed as acceleration parameter, Expressed as the weight of the stiffness parameter of the device, Expressed as the stiffness parameter of the device, Expressed as the weight of the parameter corresponding to the crack, Expressed as the parameter corresponding to the crack; The implementation of step S5 includes: Obtain the first reaction time and second reaction time of the armored vehicle equipment. The first reaction time includes: equipment startup time and system response time; the second reaction time includes: equipment response time, system stabilization time, and comprehensive reaction time; Obtain a first reaction coefficient corresponding to the first reaction time and a second reaction coefficient corresponding to the second reaction time; Determining the control delay of the armored vehicle equipment according to the first reaction coefficient and the second reaction coefficient; The first reaction coefficient is expressed as: ； in, is the first reaction coefficient, is the actual measured device startup time, is the standard value of the device startup time, is the actual measured system response time, is the standard value of system response time, is the weight of the device startup time, is the weight of system response time; The second reaction coefficient is: ； in, is the second reaction coefficient, is the actual measured device response time, is the standard value of the device response time, is the actual measured system stabilization time, is the standard value of the system stabilization time, is the comprehensive reaction time actually measured, is the standard value of the comprehensive reaction time, is the weight of the device response time, is the weight of the system stabilization time, is the weight of the comprehensive reaction time; The control delay is expressed as: ； in, To control the delay, is the first reaction coefficient, is the second reaction coefficient, is the weight of the first reaction coefficient, is the weight of the second reaction coefficient.

2. The method for collecting and analyzing equipment scrapping data based on military equipment according to claim 1 is characterized in that: The method for determining the operating status of each device in the armored vehicle in step S2 includes: S21, determining the parameter range for normal operation of each device; S22, identifying the difference between the abnormal parameter range and the normal parameter range of each device when an abnormality occurs, determining the cause of the abnormality, and outputting the operating status of each device.

3. The method for collecting and analyzing equipment scrapping data based on military equipment according to claim 1 is characterized in that: The method for determining the availability in step S3 includes: S31, determining an average usage rate of each device when it is in use according to the usable time and usage frequency of each device; S32, determining maintenance costs corresponding to different average usage rates according to the average usage rates; S33, determining the usable frequency and life of each corresponding device according to the average usage rate and maintenance cost, and outputting them as usability.

4. The method for collecting and analyzing equipment scrapping data based on military equipment according to claim 1 is characterized in that: The analysis method of the cause and direction of the crack in step S43 includes: S431, specifying material properties for the device corresponding to the crack, such as elastic modulus E, Poisson's ratio, and determining the definition constraints and external loads of the device; the definition constraints are the boundary conditions of the corresponding device, which are used to constrain the displacement of each node on the device; the external loads are expressed as the impact force and pressure received by the device; S432, constructing a stiffness matrix according to the material properties of the device, combining the stiffness matrices of each node on the device to obtain an overall stiffness matrix, converting the external load into a node force vector, and determining the displacement of each node on the device according to the overall stiffness matrix and the node force vector; S433, according to the displacement of each node on the device, the displacement distribution on the device is determined, and the direction with the most displacement distribution changes is used as the predicted crack direction, and the predicted crack direction is compared with the actual crack direction to determine the cause and direction of the crack.

5. The method for collecting and analyzing equipment scrapping data based on military equipment according to claim 3 is characterized in that: The average usage rate is expressed as the ratio between the actual usage time of the device and the usable time, expressed as: ； in, is the average utilization rate, The actual usage time of the device, The length of time the device can be used; The maintenance cost corresponding to different average utilization rates is expressed as: ； in, For maintenance costs, and The parameters determined by data fitting are used to measure the maintenance costs corresponding to different usage rates; The final availability is expressed as: ； in, Expressed as the availability of the equipment, , , Represents an index parameter used to balance the availability of equipment. The expected life of the equipment.

6. The method for collecting and analyzing equipment scrapping data based on military equipment according to claim 1 is characterized in that: In step S6, the calculation is performed based on the usability, loss, and control delay, and the calculated comprehensive coefficient is expressed as follows: ； in, is the comprehensive coefficient corresponding to the armored vehicle equipment, To control the delay, is the loss of the equipment, The availability of the equipment, , , They are the weights corresponding to the availability, loss, and control delay of the equipment.

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