A scrapped equipment processing system based on multi-dimensional feature comparison

Abstract

The present invention belongs to the field of equipment scrapping treatment, and relates to an equipment scrapping treatment system based on multi-dimensional feature comparison. The present invention obtains an armored vehicle equipment operation accuracy index, an armored vehicle equipment operation sensitivity index, an armored vehicle equipment maintenance number index, and an armored vehicle equipment maintenance cost index based on collected armored vehicle equipment performance test data and maintenance data, and then obtains the armored vehicle equipment scrapping assessment coefficient through the armored vehicle equipment operation accuracy index, operation sensitivity index, maintenance number index, and maintenance cost index. By collecting the maintenance times and usage time of each part of the armored vehicle equipment, the armored vehicle equipment parts qualification rate is obtained. The armored vehicle equipment scrapping treatment method is determined according to the armored vehicle equipment scrapping assessment coefficient and the armored vehicle equipment parts qualification rate, and the scrapping judgment can be scientifically performed to avoid resource waste or safety hazards caused by premature or late scrapping.

Description

Technical Field

[0001] The invention belongs to the technical field of equipment scrapping treatment, and relates to an equipment scrapping treatment system based on multi-dimensional feature comparison. Background Art

[0002] With the rapid development of military technology and the changing battlefield requirements, armored vehicles, as important battlefield equipment, have become particularly important for maintenance and overhaul. However, the traditional method of scrapping armored vehicle overhaul equipment often relies on manual inspection, empirical judgment and limited equipment testing. This method is inefficient, difficult to guarantee accuracy, and has resource waste and safety risks.

[0003] Although the existing equipment scrapping disposal system meets certain requirements, it still has limitations, specifically: 1. The existing technology may lack a unified and standard method for evaluating the qualified rate of parts. Different units or maintenance personnel may use different evaluation standards or calculation methods, resulting in large differences in the calculation results of the qualified rate of parts. This inconsistency makes it difficult to compare and analyze the evaluation results of the qualified rate of parts, reducing its practical application value.

[0004] 2. In the existing technology, the evaluation of armored vehicle equipment performance may rely too much on a single indicator, such as the durability or power of the equipment, and fail to fully consider the operating accuracy, operating sensitivity, maintenance cost, etc. of the equipment in actual operation. This single evaluation method may not accurately reflect the overall performance of the equipment. Summary of the invention

[0005] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an equipment scrapping processing system based on multi-dimensional feature comparison, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an equipment scrapping processing system based on multi-dimensional feature comparison, including: a data acquisition module: used to collect armored vehicle equipment performance test data and maintenance data; the performance test data includes the actual position and preset target position of each performance test, the corresponding response time and issuance time of each operation instruction; the maintenance data includes the number of maintenance times and the maintenance log of each maintenance.

[0007] Equipment operation accuracy index acquisition module: used to obtain the armored vehicle equipment operation accuracy index based on the armored vehicle equipment performance test data.

[0008] Equipment operation sensitivity index acquisition module: used to obtain the armored vehicle equipment operation sensitivity index based on the armored vehicle equipment performance test data.

[0009] Equipment maintenance frequency index acquisition module: used to obtain the armored vehicle equipment maintenance frequency index based on the armored vehicle equipment maintenance data.

[0010] Equipment maintenance cost index acquisition module: used to obtain the armored vehicle equipment maintenance cost index based on the maintenance data of the armored vehicle equipment.

[0011] Equipment scrapping assessment coefficient acquisition module: used to obtain the scrapping assessment coefficient of armored vehicle equipment through the operation accuracy index, operation sensitivity index, maintenance number index, and maintenance cost index of the armored vehicle equipment.

[0012] Equipment parts data collection module: used to collect the number of inspections and usage time of each part of armored vehicle equipment, and obtain the qualified rate of armored vehicle equipment parts.

[0013] Equipment scrapping treatment method selection module: used to determine the armored vehicle equipment treatment method based on the armored vehicle equipment scrapping assessment coefficient and the armored vehicle equipment parts qualification rate.

[0014] Database: used to store the allowable response time difference corresponding to the armored vehicle equipment operation instructions and the allowable maintenance cost of the armored vehicle equipment.

[0015] Preferably, the acquisition of armored vehicle equipment performance test data and maintenance data includes: extracting the actual position and preset target position of each performance test of the armored vehicle from the armored vehicle equipment performance test data, and comparing the actual position of each performance test of the armored vehicle with the preset target position to obtain the distance difference P of each performance test of the armored vehicle equipment. i , where i is the number corresponding to different performance test times, i=1,2,3...I.

[0016] Extract the response time and issuance time of each operation instruction of each performance test from the performance test data of the armored vehicle equipment, and subtract the corresponding issuance time from the response time of each operation instruction to obtain the response time difference L corresponding to each operation instruction of each performance test of the armored vehicle equipment. in , where n is the number corresponding to different operation instructions, n=1,2,3...N.

[0017] Extract the maintenance log of each maintenance from the maintenance data of the armored vehicle equipment, and then extract the start time and end time of each maintenance from the maintenance log of each maintenance. Subtract the end time of the corresponding adjacent previous maintenance from the start time of each maintenance to obtain the maintenance interval of each maintenance. Count the number of maintenance times of the armored vehicle equipment maintenance whose maintenance interval is less than the preset time interval, and mark it as the number of frequent maintenance times G 频繁 ; Count the number of times the maintenance interval of armored vehicle equipment is equal to the preset time interval, and mark it as the normal maintenance number G 正常; Count the number of times the maintenance interval of armored vehicle equipment is longer than the preset time interval, and mark it as sparse maintenance number G 稀疏 .

[0018] Extract the maintenance cost M of each part of the armored vehicle equipment from the maintenance log of each maintenance tr , where t is the number corresponding to different maintenance times, t = 1, 2, 3...T, r is the number corresponding to different parts, r = 1, 2, 3...R.

[0019] Preferably, the armored vehicle equipment operation accuracy index is obtained according to the armored vehicle equipment performance test data, including: according to the difference in distances of each performance test of the armored vehicle equipment and the allowable deviation value of the performance test distance of the armored vehicle equipment, the formula for obtaining the armored vehicle equipment operation accuracy index is: Where Α represents the armored vehicle equipment operation accuracy index, p 允许 Indicates the allowable deviation value of the performance test distance of armored vehicle equipment. Where h i =1 means that the i-th performance test of the armored vehicle equipment meets the accuracy requirements, h i =0 means that the i-th performance test of the armored vehicle equipment does not meet the accuracy requirements, and the total number of performance tests of the armored vehicle equipment that meet the accuracy requirements is counted.

[0020] Preferably, the armored vehicle equipment operation sensitivity index is obtained according to the armored vehicle equipment performance test data, including: according to the response time difference corresponding to each operation instruction of each performance test of the armored vehicle equipment and the allowed response time difference corresponding to the armored vehicle equipment operation instruction stored in the database, the formula for obtaining the armored vehicle equipment operation sensitivity index is: Where Β represents the armored vehicle equipment operation sensitivity index, L n ′ represents the allowed response time difference corresponding to the nth operation instruction of the armored vehicle equipment.

[0021] Preferably, the armored vehicle equipment maintenance frequency index is obtained according to the maintenance data of the armored vehicle equipment, including: according to the frequent maintenance frequency, normal maintenance frequency, sparse maintenance frequency and allowed maintenance frequency of the armored vehicle equipment, the formula for obtaining the armored vehicle equipment maintenance frequency index is: Where X represents the index of the number of times the armored vehicle equipment is overhauled, G 允许 It represents the number of maintenance times allowed for armored vehicle equipment, α1 represents the weight factor corresponding to the set frequent maintenance times for armored vehicle equipment, α2 represents the weight factor corresponding to the set normal maintenance times for armored vehicle equipment, α3 represents the weight factor corresponding to the set sparse maintenance times for armored vehicle equipment, and α1+α2+α3=1.

[0022] Preferably, the armored vehicle equipment maintenance cost index is obtained according to the maintenance data of the armored vehicle equipment, including: the formula for obtaining the armored vehicle equipment maintenance cost index is: Where K represents the maintenance cost index of armored vehicle equipment, and M′ represents the allowable maintenance cost of armored vehicle equipment.

[0023] Preferably, the formula for the scrap assessment coefficient of the armored vehicle equipment is: Among them, Φ represents the scrap assessment coefficient of armored vehicle equipment, β1 represents the weight factor of the armored vehicle equipment operation accuracy index, β2 represents the weight factor of the armored vehicle equipment operation sensitivity index, β3 represents the weight factor of the armored vehicle equipment maintenance times index, and β4 represents the weight factor of the armored vehicle equipment maintenance cost index.

[0024] Preferably, the collecting of the number of inspections and the length of use of each part of the armored vehicle equipment to obtain the qualified rate of the parts of the armored vehicle equipment includes: extracting each inspection part and the processing method of each inspection part in each inspection from the maintenance log of each inspection, the processing method being the replacement method and the inspection method, counting the number of inspections of each inspection part of the armored vehicle equipment and the processing method corresponding to each inspection, and then counting the number of inspections F of all inspection parts of the armored vehicle equipment. j , where j represents the number corresponding to different maintenance parts, j=1,2,3...J.

[0025] If the maintenance method for a certain maintenance part of the armored vehicle equipment is the maintenance method in each maintenance, the service life of the maintenance part shall be the time when the armored vehicle is put into use.

[0026] If the armored vehicle equipment has multiple overhauls corresponding to a certain overhaul part and the corresponding processing method is replacement, filter the end time of the multiple overhauls corresponding to the overhaul part with the processing method of replacement, obtain the overhaul end time of the overhaul part with the processing method of replacement closest to the current time, and then obtain the usage time of the overhaul part, and count the usage time U of all overhaul parts of the armored vehicle equipment j .

[0027] According to the inspection times and usage time of each inspection part of armored vehicle equipment, the health coefficient formula of each part of armored vehicle equipment is obtained as follows: Among them Ψ j represents the health factor of the jth component of the armored vehicle equipment, where F j represents the number of inspections of the jth part of the armored vehicle equipment, where U j represents the service life of the jth part of the armored vehicle equipment, E j represents the rated life of the jth component of the armored vehicle equipment, Y jIt represents the allowed number of inspections of the jth part of the armored vehicle equipment;

[0028] If the health coefficient of a part of the armored vehicle equipment is higher than or equal to the preset health coefficient qualified threshold, then the armored vehicle equipment part is qualified; if the health coefficient of a part of the armored vehicle equipment is lower than the preset health coefficient qualified threshold, then the armored vehicle equipment part is unqualified.

[0029] Count the number of qualified armored vehicle equipment parts, and divide the number of qualified armored vehicle equipment parts by the total number of armored vehicle equipment parts to obtain the armored vehicle equipment parts qualification rate.

[0030] Preferably, the armored vehicle equipment treatment method is determined based on the scrap assessment coefficient of the armored vehicle equipment and the qualified rate of parts of the armored vehicle equipment, including: if the scrap assessment coefficient of the armored vehicle equipment is less than a preset scrap assessment threshold, the armored vehicle equipment is not scrapped; if the scrap assessment coefficient of the armored vehicle equipment is greater than or equal to the preset scrap assessment threshold, the qualified rate of parts of the armored vehicle equipment is compared with the preset equipment qualified threshold, if the qualified rate of parts is greater than or equal to the preset equipment qualified threshold, the armored vehicle equipment is treated as a disassembly method, and if the qualified rate of parts is less than the preset equipment qualified threshold, the armored vehicle equipment is treated as an overall scrapping method.

[0031] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention obtains the armored vehicle equipment operation sensitivity index based on the armored vehicle equipment performance test data. The operation sensitivity index is one of the important indicators for evaluating the performance of armored vehicle equipment. By obtaining this index, the reaction speed and response capability of the equipment in actual operation can be more accurately understood, thereby comprehensively evaluating its performance status. By continuously monitoring the changes in the operation sensitivity index, potential problems with the response speed of the armored vehicle equipment can also be discovered in a timely manner.

[0032] (2) The present invention obtains the scrapping assessment coefficient of the armored vehicle equipment through the operation accuracy index, operation sensitivity index, maintenance frequency index and maintenance cost index of the armored vehicle equipment, which can comprehensively reflect the performance status of the armored vehicle equipment in actual operation. This comprehensive evaluation can more accurately reflect the overall performance of the equipment than a single indicator, and provide a more comprehensive basis for scrapping decisions. At the same time, enterprises can more clearly understand the overall status and value of the armored vehicle equipment through the obtained scrapping assessment coefficient, and provide strong support for asset management.

[0033] (3) The present invention obtains the qualified rate of armored vehicle equipment parts by collecting the number of inspections and the length of use of each part of the armored vehicle equipment. Parts with fewer inspections and longer use time tend to show higher quality stability, while parts with frequent inspections or shorter service life may have quality problems. The calculation of the qualified rate of parts can quantify this quality difference, provide an important basis for equipment maintenance and parts replacement, and conduct a comprehensive and accurate evaluation of the actual operation of the parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, the present invention provides an equipment scrapping processing system based on multi-dimensional feature comparison, including: a data acquisition module, an equipment operation accuracy index acquisition module, an equipment operation sensitivity index acquisition module, an equipment maintenance number index acquisition module, an equipment maintenance cost index acquisition module, an equipment scrapping assessment coefficient acquisition module, an equipment parts data acquisition module, an equipment scrapping processing method selection module and a database.

[0038] The data acquisition module is respectively connected to the equipment operation accuracy index acquisition module, the equipment operation sensitivity index acquisition module, the equipment maintenance number index acquisition module, and the equipment maintenance cost index acquisition module; the database is respectively connected to the equipment operation sensitivity index acquisition module and the equipment maintenance cost index acquisition module; the equipment scrapping assessment coefficient acquisition module is respectively connected to the equipment operation accuracy index acquisition module, the equipment operation sensitivity index acquisition module, the equipment maintenance number index acquisition module, the equipment maintenance cost index acquisition module, and the equipment scrapping treatment method selection module; the equipment scrapping treatment method selection module is respectively connected to the equipment scrapping assessment coefficient acquisition module and the equipment parts data acquisition module.

[0039] The data acquisition module is used to collect performance test data and maintenance data of armored vehicle equipment; the performance test data includes the actual position and preset target position of each performance test, the response time and issuance time corresponding to each operation instruction; the maintenance data includes the number of maintenance times and the maintenance log of each maintenance, and the performance test data and maintenance data can be centrally managed to quickly understand the operating status of the armored vehicle equipment.

[0040] The actual location of each performance test is obtained by setting up GPS on the armored vehicle; the preset target location of each performance test is obtained through the demand analysis document; the response time and issuance time corresponding to each operation instruction are obtained through the log recording platform; the number of maintenance times and the maintenance log of each maintenance are obtained through the maintenance recording platform.

[0041] As a preferred embodiment, the maintenance log of each maintenance in the armored vehicle equipment maintenance data includes the start time, end time of each maintenance, each maintenance part in each maintenance, and the processing method of each maintenance part.

[0042] Furthermore, the specific process of collecting the armored vehicle equipment performance test data and maintenance data is as follows: extracting the actual position and the preset target position of each performance test of the armored vehicle from the armored vehicle equipment performance test data, and comparing the actual position of each performance test of the armored vehicle with the preset target position to obtain the distance difference P of each performance test of the armored vehicle equipment i , where i is the number corresponding to different performance test times, i=1,2,3...I.

[0043] Extract the response time and issuance time of each operation instruction of each performance test from the performance test data of the armored vehicle equipment, and subtract the corresponding issuance time from the response time of each operation instruction to obtain the response time difference L corresponding to each operation instruction of each performance test of the armored vehicle equipment. in , where n is the number corresponding to different operation instructions, n=1,2,3...N.

[0044] Extract the maintenance log of each maintenance from the maintenance data of the armored vehicle equipment, and then extract the start time and end time of each maintenance from the maintenance log of each maintenance. Subtract the end time of the corresponding adjacent previous maintenance from the start time of each maintenance to obtain the maintenance interval of each maintenance. Count the number of maintenance times of the armored vehicle equipment maintenance whose maintenance interval is less than the preset time interval, and mark it as the number of frequent maintenance times G 频繁 ; Count the number of times the maintenance interval of armored vehicle equipment is equal to the preset time interval, and mark it as the normal maintenance number G 正常 ; Count the number of times the maintenance interval of armored vehicle equipment is longer than the preset time interval, and mark it as sparse maintenance number G 稀疏 .

[0045] Extract the maintenance cost M of each part of the armored vehicle equipment from the maintenance log of each maintenance tr , where t is the number corresponding to different maintenance times, t = 1, 2, 3...T, r is the number corresponding to different parts, r = 1, 2, 3...R.

[0046] The equipment operation accuracy index acquisition module is used to obtain the armored vehicle equipment operation accuracy index according to the armored vehicle equipment performance test data, and can obtain the operation status of the armored vehicle equipment according to the change of the armored vehicle equipment operation accuracy index.

[0047] Furthermore, the specific process of obtaining the armored vehicle equipment operation accuracy index according to the armored vehicle equipment performance test data is as follows: according to the difference in distance of each performance test of the armored vehicle equipment and the allowable deviation value of the performance test distance of the armored vehicle equipment, the formula for obtaining the armored vehicle equipment operation accuracy index is: Where Α represents the armored vehicle equipment operation accuracy index, p 允许 Indicates the allowable deviation value of the performance test distance of armored vehicle equipment. Where h i =1 means that the i-th performance test of the armored vehicle equipment meets the accuracy requirements, h i =0 means that the i-th performance test of the armored vehicle equipment does not meet the accuracy requirements, and the total number of performance tests of the armored vehicle equipment that meet the accuracy requirements is counted.

[0048] The equipment operation sensitivity index acquisition module is used to obtain the armored vehicle equipment operation sensitivity index based on the armored vehicle equipment performance test data, and can timely discover potential problems in the response speed of the armored vehicle equipment by continuously monitoring the changes in the operation sensitivity index.

[0049] Furthermore, the specific process of obtaining the armored vehicle equipment operation sensitivity index according to the armored vehicle equipment performance test data is as follows: according to the response time difference corresponding to each operation instruction of each performance test of the armored vehicle equipment and the allowed response time difference corresponding to the armored vehicle equipment operation instruction stored in the database, the formula for obtaining the armored vehicle equipment operation sensitivity index is: Where Β represents the armored vehicle equipment operation sensitivity index, L n ′ represents the allowed response time difference corresponding to the nth operation instruction of the armored vehicle equipment.

[0050] The equipment maintenance frequency index acquisition module is used to obtain the armored vehicle equipment maintenance frequency index based on the maintenance data of the armored vehicle equipment. By obtaining the maintenance frequency index, the maintenance cost can be controlled more accurately to avoid unnecessary waste.

[0051] Furthermore, the specific process of obtaining the armored vehicle equipment maintenance frequency index according to the maintenance data of the armored vehicle equipment is as follows: according to the frequent maintenance frequency, normal maintenance frequency, sparse maintenance frequency and allowed maintenance frequency of the armored vehicle equipment, the formula for obtaining the armored vehicle equipment maintenance frequency index is: Where X represents the index of the number of times the armored vehicle equipment is overhauled, G 允许 It represents the number of maintenance times allowed for armored vehicle equipment, α1 represents the weight factor corresponding to the set frequent maintenance times for armored vehicle equipment, α2 represents the weight factor corresponding to the set normal maintenance times for armored vehicle equipment, α3 represents the weight factor corresponding to the set sparse maintenance times for armored vehicle equipment, and α1+α2+α3=1.

[0052] The equipment maintenance cost index acquisition module is used to obtain the armored vehicle equipment maintenance cost index based on the maintenance data of the armored vehicle equipment. By comparing the maintenance cost indexes of different models of armored vehicle equipment, the difference in maintenance costs of different armored vehicle equipment can be evaluated.

[0053] Furthermore, the specific process of obtaining the armored vehicle equipment maintenance cost index according to the maintenance data of the armored vehicle equipment is as follows: the formula for obtaining the armored vehicle equipment maintenance cost index according to the maintenance cost analysis of each part of each maintenance of the armored vehicle equipment is: Where K represents the maintenance cost index of armored vehicle equipment, and M′ represents the allowable maintenance cost of armored vehicle equipment.

[0054] The equipment scrapping assessment coefficient acquisition module is used to obtain the scrapping assessment coefficient of the armored vehicle equipment through the operation accuracy index, operation sensitivity index, maintenance number index, and maintenance cost index of the armored vehicle equipment. The enterprise can understand the overall condition and value of the armored vehicle equipment more clearly through the obtained scrapping assessment coefficient, providing strong support for asset management.

[0055] Furthermore, the formula for the scrap assessment coefficient of armored vehicle equipment is: Among them, Φ represents the scrap assessment coefficient of armored vehicle equipment, β1 represents the weight factor of the armored vehicle equipment operation accuracy index, β2 represents the weight factor of the armored vehicle equipment operation sensitivity index, β3 represents the weight factor of the armored vehicle equipment maintenance times index, and β4 represents the weight factor of the armored vehicle equipment maintenance cost index.

[0056] The equipment parts data collection module is used to collect the number of inspections and usage time of each part of the armored vehicle equipment, obtain the qualified rate of the armored vehicle equipment parts, and conduct a comprehensive and accurate evaluation of the actual operation of the parts.

[0057] Furthermore, the specific method of collecting the inspection times and usage time of each part of the armored vehicle equipment and obtaining the qualified rate of the parts of the armored vehicle equipment is as follows: extracting each inspection part and the treatment method of each inspection part in each inspection from the maintenance log of each inspection, the treatment method is the replacement method and the inspection method, counting the inspection times of each inspection part of the armored vehicle equipment and the treatment method corresponding to each inspection, and then counting the inspection times F of all inspection parts of the armored vehicle equipment j , where j represents the number corresponding to different maintenance parts, j=1,2,3...J.

[0058] As a preferred embodiment, if the armored vehicle equipment has not undergone maintenance for a corresponding maintenance part, the maintenance times of the maintenance part is 0.

[0059] If the maintenance method for a certain maintenance part of the armored vehicle equipment is the maintenance method in each maintenance, the service life of the maintenance part shall be the time when the armored vehicle is put into use.

[0060] If the armored vehicle equipment has multiple overhauls corresponding to a certain overhaul part and the corresponding processing method is replacement, filter the end time of the multiple overhauls corresponding to the overhaul part with the processing method of replacement, obtain the overhaul end time of the overhaul part with the processing method of replacement closest to the current time, and then obtain the usage time of the overhaul part, and count the usage time U of all overhaul parts of the armored vehicle equipment j .

[0061] The usage time of the maintenance part is obtained by subtracting the maintenance end time from the current time.

[0062] According to the inspection times and usage time of each inspection part of armored vehicle equipment, the health coefficient formula of each part of armored vehicle equipment is obtained as follows: Among them Ψ j represents the health factor of the jth component of the armored vehicle equipment, where F j represents the number of inspections of the jth part of the armored vehicle equipment, where U j represents the service life of the jth part of the armored vehicle equipment, E j represents the rated life of the jth component of the armored vehicle equipment, Y j Represents the allowable number of overhauls for the jth part of the armored vehicle equipment.

[0063] If the health coefficient of a part of the armored vehicle equipment is higher than or equal to the preset health coefficient qualified threshold, then the armored vehicle equipment part is qualified; if the health coefficient of a part of the armored vehicle equipment is lower than the preset health coefficient qualified threshold, then the armored vehicle equipment part is unqualified.

[0064] Count the number of qualified armored vehicle equipment parts, and divide the number of qualified armored vehicle equipment parts by the total number of armored vehicle equipment parts to obtain the armored vehicle equipment parts qualification rate.

[0065] Equipment scrapping treatment method selection module: used to determine the armored vehicle equipment treatment method based on the scrap assessment coefficient of the armored vehicle equipment and the qualified rate of armored vehicle equipment parts. It can manage armored vehicle equipment more scientifically, help enterprises establish a complete equipment management system, improve the standardization and standardization of equipment management, and thus enhance the overall competitiveness of the enterprise.

[0066] Furthermore, the specific method for determining the treatment method of armored vehicle equipment based on the scrap assessment coefficient of the armored vehicle equipment and the qualified rate of parts of the armored vehicle equipment is as follows: if the scrap assessment coefficient of the armored vehicle equipment is less than the preset scrap assessment threshold, the armored vehicle equipment will not be scrapped; if the scrap assessment coefficient of the armored vehicle equipment is greater than or equal to the preset scrap assessment threshold, the qualified rate of parts of the armored vehicle equipment will be compared with the preset equipment qualified threshold; if the qualified rate of parts is greater than or equal to the preset equipment qualified threshold, the treatment method of the armored vehicle equipment is disassembly; if the qualified rate of parts is less than the preset equipment qualified threshold, the treatment method of the armored vehicle equipment is overall scrapping.

[0067] The database is used to store the allowable response time difference corresponding to the armored vehicle equipment operation instructions and the allowable maintenance cost of the armored vehicle equipment.

[0068] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A system for scrapping equipment based on multi-dimensional feature comparison, characterized in that: include: Data acquisition module: used to collect performance test data and maintenance data of armored vehicle equipment; Performance test data includes the actual position and preset target position of each performance test, the response time and issuance time of each operation instruction; maintenance data includes the number of maintenance times and the maintenance log of each maintenance; Equipment operation accuracy index acquisition module: used to obtain the armored vehicle equipment operation accuracy index based on the armored vehicle equipment performance test data; Equipment operation sensitivity index acquisition module: used to obtain the armored vehicle equipment operation sensitivity index based on the armored vehicle equipment performance test data; Equipment maintenance frequency index acquisition module: used to obtain the armored vehicle equipment maintenance frequency index according to the maintenance data of the armored vehicle equipment; Equipment maintenance cost index acquisition module: used to obtain the armored vehicle equipment maintenance cost index based on the maintenance data of the armored vehicle equipment; Equipment scrapping assessment coefficient acquisition module: used to obtain the scrapping assessment coefficient of armored vehicle equipment through the operation accuracy index, operation sensitivity index, maintenance number index, and maintenance cost index of armored vehicle equipment; Equipment parts data collection module: used to collect the number of inspections and usage time of each part of armored vehicle equipment, and obtain the qualified rate of armored vehicle equipment parts; The collection of the inspection times and usage time of each part of the armored vehicle equipment and the acquisition of the qualified rate of the parts of the armored vehicle equipment include: Extract each maintenance part and the treatment method of each maintenance part from the maintenance log of each maintenance. The treatment method is replacement method and maintenance method. Count the maintenance times of each maintenance part of the armored vehicle equipment and the treatment method corresponding to each maintenance, and then count the maintenance times of all maintenance parts of the armored vehicle equipment. , where j represents the number corresponding to different maintenance parts, ; If the treatment method of a certain overhaul part of the armored vehicle equipment in each overhaul is the overhaul method, the service life of the overhaul part is the time when the armored vehicle is put into use; If the armored vehicle equipment has multiple overhauls corresponding to a certain overhaul part and the corresponding processing method is replacement, filter the end time of the multiple overhauls corresponding to the overhaul part with the processing method of replacement, and obtain the overhaul end time of the overhaul part with the processing method of replacement closest to the current time, and then obtain the usage time of the overhaul part, and count the usage time of all overhaul parts of the armored vehicle equipment ; According to the inspection times and usage time of each inspection part of armored vehicle equipment, the health coefficient formula of each part of armored vehicle equipment is obtained as follows: ,in represents the health factor of the jth component of the armored vehicle equipment, where represents the number of inspections of the jth part of the armored vehicle equipment, where represents the usage time of the jth part of the armored vehicle equipment, represents the rated life of the jth component of the armored vehicle equipment, It represents the allowed number of inspections of the jth part of the armored vehicle equipment; If the health coefficient of a certain part of the armored vehicle equipment is higher than or equal to the preset health coefficient qualified threshold, the armored vehicle equipment part is qualified; if the health coefficient of a certain part of the armored vehicle equipment is lower than the preset health coefficient qualified threshold, the armored vehicle equipment part is unqualified; Count the number of qualified armored vehicle equipment parts, and divide the number of qualified armored vehicle equipment parts by the total number of armored vehicle equipment parts to obtain the qualified rate of armored vehicle equipment parts; Equipment scrapping treatment method selection module: used to determine the armored vehicle equipment treatment method based on the scrapping assessment coefficient of the armored vehicle equipment and the qualified rate of armored vehicle equipment parts; The method of handling armored vehicle equipment according to the scrap assessment coefficient of armored vehicle equipment and the qualified rate of armored vehicle equipment parts includes: If the scrapping assessment coefficient of the armored vehicle equipment is less than the preset scrapping assessment threshold, the armored vehicle equipment will not be scrapped; if the scrapping assessment coefficient of the armored vehicle equipment is greater than or equal to the preset scrapping assessment threshold, the qualified rate of the parts of the armored vehicle equipment will be compared with the preset equipment qualified threshold. If the qualified rate of the parts is greater than or equal to the preset equipment qualified threshold, the armored vehicle equipment will be handled by disassembly; if the qualified rate of the parts is less than the preset equipment qualified threshold, the armored vehicle equipment will be handled by overall scrapping; Database: used to store the allowable response time difference corresponding to the armored vehicle equipment operation instructions and the allowable maintenance cost of the armored vehicle equipment.

2. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 1 is characterized in that: The collection of armored vehicle equipment performance test data and maintenance data includes: Extract the actual position and preset target position of each performance test of the armored vehicle from the performance test data of the armored vehicle equipment, and compare the actual position and preset target position of each performance test of the armored vehicle equipment to obtain the distance difference of each performance test of the armored vehicle equipment ,in The numbers corresponding to different performance test times are: ; Extract the response time and issuance time of each operation instruction of each performance test from the performance test data of the armored vehicle equipment, and subtract the corresponding issuance time from the response time of each operation instruction to obtain the response time difference of each operation instruction of each performance test of the armored vehicle equipment. ,in The numbers corresponding to different operation instructions. ; Extract the maintenance log of each maintenance from the maintenance data of the armored vehicle equipment, and then extract the start time and end time of each maintenance from the maintenance log of each maintenance. Subtract the end time of the corresponding adjacent previous maintenance from the start time of each maintenance to obtain the maintenance interval of each maintenance. Count the number of maintenance times of the armored vehicle equipment maintenance whose maintenance interval is less than the preset time interval and mark it as frequent maintenance times ; Count the number of times the maintenance interval of armored vehicle equipment is equal to the preset time interval, and mark it as normal maintenance times ; Count the number of times the maintenance interval of armored vehicle equipment is longer than the preset time interval, and mark it as sparse maintenance times ; Extract the maintenance cost of each part of the armored vehicle equipment from the maintenance log of each maintenance , where t is the number corresponding to different maintenance times, , r is the number corresponding to different parts, .

3. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 2 is characterized in that: The obtaining of the armored vehicle equipment operation accuracy index according to the armored vehicle equipment performance test data includes: According to the difference in the performance test distance of the armored vehicle equipment and the allowable deviation value of the performance test distance of the armored vehicle equipment, the formula for obtaining the armored vehicle equipment operation accuracy index is: , where Represents the armored vehicle equipment operation accuracy index, Indicates the allowable deviation value of the performance test distance of armored vehicle equipment. , where Indicates that the i-th performance test of the armored vehicle equipment meets the accuracy requirements, It indicates that the i-th performance test of the armored vehicle equipment does not meet the accuracy requirements, and the total number of performance tests of the armored vehicle equipment that meet the accuracy requirements is counted.

4. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 2 is characterized in that: The obtaining of the armored vehicle equipment operation sensitivity index according to the armored vehicle equipment performance test data includes: According to the response time difference corresponding to each operation instruction of each performance test of the armored vehicle equipment and the allowable response time difference corresponding to the armored vehicle equipment operation instruction stored in the database, the formula for obtaining the armored vehicle equipment operation sensitivity index is: , where Represents the armored vehicle equipment operation sensitivity index, Indicates the allowed response time difference corresponding to the nth operation instruction of the armored vehicle equipment.

5. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 2 is characterized in that: The method of obtaining the armored vehicle equipment maintenance frequency index according to the maintenance data of the armored vehicle equipment includes: According to the frequent maintenance times, normal maintenance times, sparse maintenance times and the allowable maintenance times of armored vehicle equipment, the formula for obtaining the armored vehicle equipment maintenance times index is: ,in Represents the index of armored vehicle equipment maintenance frequency, Indicates the number of maintenance times allowed for armored vehicle equipment. Indicates the weight factor corresponding to the set number of frequent maintenance times of armored vehicle equipment, Represents the weight factor of the set number of normal maintenance times of armored vehicle equipment, represents the weight factor corresponding to the set number of sparse maintenance times of armored vehicle equipment, and .

6. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 2 is characterized in that: The obtaining of the armored vehicle equipment maintenance cost index according to the maintenance data of the armored vehicle equipment includes: The formula for obtaining the armored vehicle equipment maintenance cost index based on the maintenance cost analysis of each part of the armored vehicle equipment during each maintenance is: , where represents the armored vehicle equipment maintenance cost index, Represents the allowable overhaul cost of armored vehicle equipment.

7. The equipment scrapping processing system based on multi-dimensional feature comparison according to claim 1 is characterized in that: The formula for the scrap assessment coefficient of the armored vehicle equipment is: ,in Represents the scrap assessment coefficient of armored vehicle equipment, Represents the weight factor of the armored vehicle equipment operation accuracy index, Represents the weight factor of the armored vehicle equipment operation sensitivity index, Represents the weight factor of the armored vehicle equipment maintenance frequency index, Represents the weight factor of the armored vehicle equipment maintenance cost index.

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