An examination information management system for military equipment maintenance support equipment

Abstract

The application belongs to the technical field of maintenance support equipment examination management, and specifically discloses a kind of examination information management system of military equipment maintenance support equipment, including: maintenance equipment distribution module, maintenance diagnosis analysis module, maintenance process analysis module, maintenance result analysis module and maintenance management feedback terminal;The application confirms the examination score of each maintenance equipment based on the maintenance diagnosis qualified coefficient, the maintenance process qualified coefficient and the maintenance result qualified coefficient of each maintenance equipment, realizes the whole chain closed loop evaluation of "diagnosis-process-result", more comprehensive evaluation of the state of maintenance equipment, thereby improving the accuracy of the analysis result, at the same time, by the operation time sequence log of maintenance equipment and the historical maintenance operation information of maintenance personnel, the maintenance process qualified coefficient of maintenance equipment is analyzed, the two-way evaluation of equipment efficiency and personnel operation is realized, and the scientificity and executability of the evaluation result are improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of maintenance support equipment examination management, and relates to an examination information management system for military equipment maintenance support equipment. BACKGROUND

[0002] Military equipment maintenance support equipment is a key equipment for ensuring the normal operation of military equipment and maintaining its performance, covering detection and diagnosis equipment, maintenance tools, spare parts storage equipment, etc., and its operation state and maintenance capability directly affect the execution of military tasks. In order to master the equipment state in real time, quickly obtain maintenance data, accurately assess maintenance support capability, and realize efficient and accurate equipment management, it is necessary to conduct examination information management.

[0003] For example, the Chinese invention patent with publication number CN119273185A discloses a military equipment maintenance support equipment diagnosis examination and evaluation method, which relates to the field of military support equipment diagnosis examination and evaluation. The method specifically discloses a military equipment maintenance support equipment diagnosis examination and evaluation method. The method obtains the diagnosis accuracy coefficient and detection rapidity coefficient of military support equipment, analyzes the performance index compliance index of each military support equipment, obtains the failure rate, average trouble-free duration, and maintainability coefficient of each military support equipment, analyzes the reliability index compliance index of each military support equipment, obtains the maintenance cycle trend curve and maintenance cost trend curve of each military support equipment, analyzes the maintenance index compliance index of each military support equipment, and further evaluates the comprehensive examination and evaluation index of each military support equipment. The method qualitatively and quantitatively analyzes and comprehensively examines and evaluates the military equipment maintenance support equipment from multiple dimensions and aspects, and thus realizes comprehensive and objective diagnosis examination and evaluation of the military equipment maintenance support equipment, thereby providing a scientific basis for the selection, use, and improvement of military support equipment.

[0004] The above prior art has the following deficiencies: 1. When performing maintenance equipment examination and analysis, the current method mainly relies on discrete index analysis, lacks linkage mechanism between data, and is difficult to find potential problems hidden behind different indexes, thereby affecting the accuracy of analysis results.

[0005] 2. When performing maintenance equipment examination and evaluation, only the parameters of the maintenance equipment are considered, the influence of personnel operation is not considered, the overall efficiency of maintenance task completion cannot be comprehensively evaluated, and thus it is difficult to accurately judge the timeliness and effectiveness of maintenance equipment work, thereby affecting the accuracy of maintenance equipment examination results. SUMMARY

[0006] In view of the above, in order to solve the problems raised in the background art, an examination information management system for military equipment maintenance support equipment is proposed.

[0007] The object of the present application can be achieved by the following technical solutions: The present application provides a kind of military equipment maintenance support equipment examination information management system, comprising: maintenance equipment distribution module, for based on the prior fault diagnosis report of each equipment to be maintained, by dynamic batch correlation algorithm, the equipment to be maintained distribution.

[0008] Maintenance diagnosis analysis module, for detecting each maintenance equipment to its each equipment to be maintained real survey fault diagnosis report, and then analyze the maintenance diagnosis score of each maintenance equipment.

[0009] Maintenance process analysis module, for extracting prior fault reason from the prior fault diagnosis report, and recording the operation time sequence log of each maintenance equipment, and then analyzing the maintenance process score of each maintenance equipment.

[0010] Maintenance result analysis module, for running test of the equipment to be maintained after maintenance, and detecting the running test information of each equipment to be maintained, and then analyzing the maintenance result score of each maintenance equipment.

[0011] Maintenance examination feedback terminal, for confirming the examination score of each maintenance equipment based on the maintenance diagnosis score, maintenance process score and maintenance result score of each maintenance equipment, and corresponding feedback in maintenance equipment management platform.

[0012] Compared with the prior art, the present application has the following advantages: (1) the present application confirms the examination score of each maintenance equipment based on the maintenance diagnosis score, maintenance process score and maintenance result score of each maintenance equipment, realizes the whole chain closed loop evaluation of "diagnosis-process-result", and more comprehensively evaluates the state of maintenance equipment, thereby improving the accuracy of analysis result.

[0013] (2) the present application analyzes the maintenance process score of maintenance equipment according to the operation time sequence log of maintenance equipment and the historical maintenance operation information of maintenance personnel, realizes the bidirectional evaluation of equipment efficiency and personnel operation, improves the accuracy of evaluation of maintenance equipment task execution efficiency, and further improves the scientificity and executability of evaluation result.

[0014] (3) the present application establishes equipment examination model by dynamic batch correlation algorithm, establishes maintenance efficiency evaluation model, solves the problem of non-uniform evaluation standard caused by equipment type difference in traditional method, dynamically adapts standardized evaluation system, eliminates the influence of equipment heterogeneity on evaluation result, and further improves the evaluation efficiency of maintenance equipment in complex scene. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings described in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort based on these drawings.

[0016] Figure 1 The connection diagram of the modules of the system of the present application.

[0017] Figure 2 The connection diagram of the modules of the system of the present application.

[0018] Figure 3 The connection diagram of the modules of the system of the present application. DETAILED DESCRIPTION

[0019] The technical solutions of the embodiments of the present application will be described clearly and completely in the following with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0020] Please refer to Figure 1 The present application provides an information management system for the examination of military equipment maintenance support equipment, which comprises a maintenance equipment distribution module, a maintenance diagnosis analysis module, a maintenance process analysis module, a maintenance result analysis module and a maintenance management feedback terminal.

[0021] In the above, the maintenance diagnosis analysis module is connected with the maintenance equipment distribution module, the maintenance process analysis module and the maintenance management feedback terminal, the maintenance process analysis module is connected with the maintenance result analysis module and the maintenance management feedback terminal, and the maintenance result analysis module is further connected with the maintenance management feedback terminal.

[0022] The maintenance equipment distribution module is used to distribute the equipment to be maintained based on the prior fault diagnosis report of each equipment to be maintained by using a dynamic batch correlation algorithm.

[0023] It needs to be added that the dynamic batch association algorithm refers to: accurately and efficiently allocating each piece of equipment to be repaired in the same batch to the most suitable maintenance device, the core of which is to comprehensively consider the multi-dimensional characteristics of equipment and devices, realize the optimal allocation of resources, and at the same time guarantee the consistency of the difficulty of device assessment, the specific steps are as follows: (1) Feature extraction of equipment to be repaired: extracting the fault type and fault severity from the prior fault diagnosis report of the equipment to be repaired, for the fault type, detailed records such as gear wear and tear, bearing damage of mechanical equipment, component burnout, circuit breakage of electronic equipment, etc. The fault severity is divided into three levels of light, medium and heavy according to the damage range of the equipment and the degree of influence on the core function of the equipment, for example, only local component damage and no impact on core function is judged as light, affecting part of the important function but can be repaired by replacing the component is judged as medium, causing the core function of the equipment to completely lose, and the judgment is heavy. Replace a large number of components or repair complex systems.

[0024] (2) Matching calculation: a matching matrix is established, the rows represent the equipment to be repaired, and the columns represent the maintenance devices. For each piece of equipment to be repaired, according to the fault severity score and the normalized index of the maintenance device's ability to handle the corresponding severity fault, the matching degree is calculated, and the matching degree calculation formula can be set as: , wherein, is the matching degree, is the fault severity, is the maintenance device's ability to handle the corresponding severity fault, and are weight coefficients adjusted according to actual conditions, for example, , to balance the influence of fault severity and maintenance device capability in matching degree.

[0025] (3) Matching decision: according to the matching degree from high to low, the combination of each piece of equipment to be repaired and each maintenance device is sorted, in order to guarantee the consistency of the difficulty of device assessment, in the allocation process, try to make the fault severity distribution of the equipment allocated to each maintenance device uniform, for example, if there are many heavy fault equipment allocated to a certain maintenance device, then in the subsequent allocation, prefer to allocate light or moderate fault equipment to the maintenance device, until the fault severity distribution of the equipment borne by each maintenance device reaches a relatively balanced state, so as to guarantee the effectiveness of the assessment results.

[0026] It needs to be added that the acquisition mode of the prior fault diagnosis report of each equipment to be maintained: it is obtained through sensor acquisition technology and fault diagnosis system, sensor acquisition technology installs various sensors in key positions according to the structure and operation characteristics of military equipment, such as temperature and pressure sensors of ship power system, displacement and angle sensors of flight control system, etc., when the equipment is running, the sensor real-time collects physical quantity data such as vibration signal and current value, and transmits to the data processing center through wired or wireless mode, in the transmission, the data is pretreated such as denoising and filtering, then the signal processing technology is used to extract the parameters reflecting the equipment state and fault characteristics, such as vibration frequency and temperature change trend, according to the comparison between these characteristic parameters and the preset threshold, the preliminary fault judgment is carried out, the abnormal information is recorded to provide basic data for the report, and then the sensor data and equipment running time, maintenance record and other multi-source information are input into the fault diagnosis system through the fault diagnosis system, a unified data model is established by integration, the system uses the equipment physical or mathematical model to analyze the difference between input and output signals to locate the fault, uses machine learning and deep learning algorithm to mine data, such as neural network learning fault mode, fault tree analyzing fault reason and propagation path, combines expert knowledge, rule base and case base to carry out knowledge reasoning decision, judges the fault type and severity, finally, the system generates the prior fault diagnosis report according to the specification, which covers equipment information, fault phenomenon, cause analysis and maintenance suggestion and the like.

[0027] The equipment examination model is established by the dynamic batch association algorithm, the maintenance efficiency evaluation model is established, the problem of non-uniform evaluation standard caused by equipment type difference in the traditional method is solved, the dynamic adaptation of the standardized evaluation system is realized, the influence of equipment heterogeneity on the evaluation result is eliminated, and then the maintenance equipment evaluation efficiency in the complex scene is improved.

[0028] The maintenance diagnosis analysis module is used for detecting the real inspection fault diagnosis report of each maintenance equipment to each equipment to be maintained, and then analyzing the maintenance diagnosis score of each maintenance equipment.

[0029] It should be noted that each maintenance equipment obtains the real fault diagnosis report of each maintenance equipment to which it belongs: first, using the general detection instruments carried by the maintenance equipment, such as multimeter, oscilloscope, and professional detection equipment such as ultrasonic flaw detector, to detect the maintenance equipment on site, obtain its physical parameters, signal characteristics, internal condition of parts and other data, and then use fault diagnosis expert system (including rule-based and case-based diagnosis methods) and intelligent diagnosis technology such as machine learning and deep learning to analyze, reason and learn the collected data, mine the fault characteristics and rules, and finally transmit the detected and analyzed data to the data processing center of the maintenance equipment through wired communication (such as cable, optical fiber) and wireless communication (such as Bluetooth, Wi-Fi, 4G / 5G) technology, and generate a real fault diagnosis report after comprehensive processing and evaluation.

[0030] Exemplarily, the analysis of the maintenance diagnosis score of each maintenance equipment includes: G1, matching and comparing the real fault diagnosis report of each maintenance equipment to each maintenance equipment to which it belongs with the prior fault diagnosis report, and recording the maintenance diagnosis as correct diagnosis when the real fault diagnosis report is consistent with the prior fault diagnosis report.

[0031] G2, statistics of the number of correct diagnoses and the total number of diagnoses of each maintenance equipment, and the ratio of the two as the fault positioning accuracy of each maintenance equipment, recorded as , is the number of maintenance equipment, .

[0032] G3, extracting the maintenance diagnosis time of each maintenance equipment to each maintenance equipment to which it belongs from the real fault diagnosis report of each maintenance equipment, and calculating the diagnosis time compliance coefficient of each maintenance equipment .

[0033] Further, the statistics of the diagnosis time compliance coefficient of each maintenance equipment includes: G3-1, extracting the fault type of each maintenance equipment from the prior fault diagnosis report of each maintenance equipment, and then extracting the benchmark diagnosis time of each fault type from the maintenance equipment management platform as the benchmark diagnosis time of each maintenance equipment.

[0034] G3-2, matching and comparing the diagnosis time of each maintenance equipment to each maintenance equipment to which it belongs with the benchmark diagnosis time.

[0035] G3-3, if the diagnosis time of a certain maintenance equipment to a certain maintenance equipment to which it belongs is less than the benchmark diagnosis time, then 1 is taken as the diagnosis time compliance coefficient of the maintenance equipment to the maintenance equipment, otherwise, the ratio of the benchmark diagnosis time to the diagnosis time is taken as the diagnosis time compliance coefficient of the maintenance equipment to the maintenance equipment, and then the diagnosis time compliance coefficient of each maintenance equipment to each maintenance equipment to which it belongs is obtained.

[0036] G3-4. Calculate the average of the diagnostic time compliance coefficients of each piece of equipment to be repaired for each piece of equipment to be repaired, and obtain the diagnostic time compliance coefficient of each piece of equipment.

[0037] G4. Compile maintenance diagnostic scores for each maintenance equipment. , In the formula The weighting adjustment factor is used to set the reference.

[0038] It should be added that the above formula will determine the accuracy of fault location. and the compliance coefficient of diagnosis time In summary, a comprehensive evaluation of equipment repair work quality is necessary. Accurate fault location but excessively long repair time, or short repair time but inaccurate fault location, both cannot be considered high-quality repair work. The weighting adjustment coefficient is also important. Its function is to allow for flexible adjustment based on actual needs and priorities. The value of this factor can be used to adjust the impact of the diagnostic time compliance coefficient on the final pass rate. If repair time is of greater importance, it can be increased appropriately. If greater emphasis is placed on the accuracy of fault location, the risk can be reduced. .when (i.e., when the repair time is compliant) At this point, the maintenance diagnostic score equals the fault location accuracy rate. (Better repair time), will be beneficial Enlarge and adjust to reflect the reward. If the repair time is insufficient, then... Adjustments should be made to reflect the punishment.

[0039] In one specific embodiment, when At that time, assume there are three maintenance devices, namely maintenance device A, maintenance device B and maintenance device C, and their specific data are shown in Table 1.

[0040] Table 1: Statistical Table of Fault Diagnosis and Repair Correlation Coefficients for Various Repair Equipment

[0041]

[0042] It should be added that, This serves to balance the weight of these two factors in the scoring. When This means that in this assessment, the accuracy of fault location and the compliance of diagnosis time have a similar impact on the maintenance diagnosis score. It emphasizes both whether the maintenance equipment can accurately diagnose faults and whether the diagnosis time is compliant, without overly favoring one factor.

[0043] The maintenance equipment A correctly diagnoses 8 times, the total diagnosis is 10 times, the fault positioning accuracy is 0.8, is in a higher level, can be more accurate to judge the fault, but the diagnosis time compliance coefficient is only 0.5, it is indicated that the average diagnosis time is longer, the efficiency is not high, the final maintenance diagnosis score is 40, is influenced by diagnosis time and does not reach higher score.

[0044] The maintenance equipment B correctly diagnoses 6 times, the total diagnosis is 8 times, the fault positioning accuracy is 0.75, is slightly lower than A and C, but its diagnosis time compliance coefficient reaches 1, means that the diagnosis time length meets the benchmark requirements, the efficiency is higher, the comprehensive makes its maintenance diagnosis score reach 75.

[0045] The maintenance equipment C correctly diagnoses 7 times, the total diagnosis is 9 times, the fault positioning accuracy is 0.778, has certain accuracy, the diagnosis time compliance coefficient is 0.8, it is explained that the diagnosis time length efficiency is good, the final score is 62, the overall performance is more balanced.

[0046] The maintenance process analysis module is used for extracting prior fault causes from the prior fault diagnosis report, and recording the operation time sequence log of each maintenance equipment, and then analyzing the maintenance process score of each maintenance equipment.

[0047] It needs to be supplemented that the operation time sequence log of each maintenance equipment includes: each actual maintenance step and actual maintenance time length of each maintenance equipment to each equipment to be maintained.

[0048] It needs to be supplemented that the actual maintenance step is obtained: a plurality of types of sensors are installed at key parts of the maintenance equipment, such as pressure sensors, displacement sensors, angle sensors, etc. These sensors can sense the running state of the equipment, the position change of the parts, etc. in real time, for example, when disassembling a certain part, the displacement sensor can detect the movement of the part, so as to judge the start and end of the disassembly action, data acquisition and transmission: the data collected by the sensor is transmitted to the data acquisition terminal through the Internet of Things communication protocol, such as Zigbee, Bluetooth, Wi-Fi, etc. The data acquisition terminal preliminarily processes and packages the data, and then uploads it to the local server. Data analysis and step recognition: on the server side, the sensor data is analyzed by using data analysis algorithm, and different maintenance steps are recognized by feature extraction and pattern matching of the data, for example, according to the change rule of pressure sensor data, the operation steps such as screwing screw, plugging cable, etc. can be judged.

[0049] It needs to be supplemented that the actual maintenance time length is detected by the time sensor deployed on the maintenance equipment.

[0050] Please refer to Figure 2As shown, the analysis of the maintenance process score of each maintenance equipment includes: H1, based on the prior fault diagnosis report of each equipment to be maintained, extracting each standard maintenance step corresponding to the prior fault diagnosis report of each equipment to be maintained from the maintenance equipment management platform.

[0051] H2, extracting each actual maintenance step of each maintenance equipment on each equipment to be maintained from the operation time sequence log of each maintenance equipment, and matching and comparing it with the corresponding standard maintenance step.

[0052] H3, statistics the number of maintenance sequence consistent steps and the total number of maintenance steps of each maintenance equipment, and the ratio of the two is the maintenance step compliance coefficient of each maintenance equipment, denoted as .

[0053] H4, extracting the actual maintenance time of each maintenance equipment on each equipment to be maintained from the operation time sequence log of each maintenance equipment, and then statistics the maintenance time qualified coefficient of each maintenance equipment .

[0054] Further, the statistics of the maintenance time qualified coefficient of each maintenance equipment includes: H4-1, extracting the reference maintenance time interval corresponding to the prior fault diagnosis report of each equipment to be maintained from the maintenance equipment management platform.

[0055] H4-2, based on the actual maintenance time of each maintenance equipment on each equipment to be maintained and the corresponding reference maintenance time interval, through the normal distribution model, statistics the maintenance time qualified coefficient of each maintenance equipment.

[0056] It should be noted that the normal distribution model is a very important continuous probability distribution model in the field of probability statistics, and its probability density function is , is a natural constant, and represents that the random variable obeys the normal distribution, where is the mean, which determines the central position of the distribution, The standard deviation determines the dispersion degree of the distribution, and the image thereof is bell-shaped, has symmetry, unimodality, and the like, and the probability of taking a value near the mean is relatively large, and the probability of taking a value far from the mean is relatively small. The normal distribution model is used in the maintenance equipment management because the actual maintenance duration is usually affected by various factors, such as the skill level of the maintenance personnel, the state of the maintenance equipment, the complexity of the fault of the equipment to be maintained, and the like. Under the comprehensive action of these factors, the distribution of the actual maintenance duration often presents a characteristic similar to the normal distribution, that is, in most cases, the actual maintenance duration is concentrated near the reference maintenance duration interval, and only a small number of cases deviate far away. The normal distribution model can be used to well model and analyze the distribution law of the actual maintenance duration, so that the maintenance duration qualified coefficient of each maintenance equipment can be reasonably counted by comparing the actual maintenance duration with the reference maintenance duration interval.

[0057] In one specific embodiment, the statistical process of the maintenance duration qualified coefficient of each maintenance equipment by the normal distribution model is as follows: first, the mean and the standard deviation of the maintenance duration of all similar faults are calculated. For the current equipment to be maintained, if the maintenance duration corresponding to the prior fault diagnosis report is in the interval is a constant determined according to the actual situation, such as or , the actual maintenance duration is , and the calculation method of the maintenance duration qualified coefficient may be as follows: when , the maintenance duration qualified coefficient is In the normal distribution, the interval is considered to be a reasonable reference range, which means that the actual maintenance duration is in the expected normal fluctuation range, so the maintenance work is considered to be completed on time, the maintenance duration is completely qualified, and the qualified coefficient is set to the maximum value 1. When , , it is indicated that the actual maintenance duration is less than the lower limit of the reference interval, that is, the maintenance work is completed in advance. In the formula, the exponential part , when is smaller (that is, the maintenance duration is shorter), the exponential tends to negative infinity, according to the property of the exponential function, , the negative exponential power result tends to 0, but due to the setting of the coefficient in front, the tends to 1, which reflects that the shorter the maintenance duration, the higher the qualified coefficient, and the closer to the perfect qualified state. When , , it is indicated that the actual maintenance duration exceeds the upper limit of the reference interval, the exponential part , , the larger the exponential (the more the reference duration is exceeded), the more the exponential tends to negative infinity, The more the negative exponential power result of the qualified coefficient approaches 0, the more the qualified coefficient is lower, and the more the qualified degree of the maintenance time is worse.

[0058] H5, extracting historical maintenance operation information of each maintenance personnel from the maintenance equipment management platform, and then setting a personnel operation influence coefficient of each maintenance equipment .

[0059] Further, the setting of the personnel operation influence coefficient of each maintenance equipment comprises: H5-1, extracting maintenance operation scores and maintenance fault positioning accuracy of each maintenance personnel from historical maintenance operation information of each maintenance personnel, and recording the maintenance fault positioning accuracy of each maintenance personnel as , is the number of the maintenance personnel, .

[0060] H5-2, performing mean value calculation on the maintenance operation scores of each maintenance of each maintenance personnel to obtain the average maintenance operation score of each maintenance personnel, and then matching and comparing the average maintenance operation score of each maintenance personnel with the maintenance operation score interval corresponding to the operation specification compliance degree to obtain the operation specification compliance degree of each maintenance personnel, and recording it as .

[0061] H5-3, statistics of the personnel operation influence coefficient of each maintenance personnel , , and are the weights of the set reference maintenance fault positioning accuracy and operation specification compliance degree, , .

[0062] It should be noted that the maintenance fault positioning accuracy directly determines the correctness of the maintenance direction, which is the fundamental prerequisite for solving the problem, and plays a decisive role in the success or failure of the maintenance work and the safe operation of the equipment. The operation specification compliance degree is an important factor to ensure the smooth implementation of the maintenance work and guarantee the maintenance quality on the basis of correct diagnosis. Therefore, in the personnel operation influence coefficient of the maintenance personnel, the weight of the maintenance fault positioning accuracy should usually be greater than that of the operation specification compliance degree, and therefore is set. In order to facilitate analysis, may be specifically valued at 0.6, may be specifically valued at 0.4.

[0063] H5-4, extracting the corresponding maintenance personnel of each maintenance equipment from the actual fault diagnosis report of each maintenance equipment on its corresponding each to-be-maintained equipment, and then screening out the personnel operation influence coefficient of each maintenance equipment.

[0064] H6, the maintenance process score of each maintenance equipment is counted by a geometric mean algorithm .

[0065] It should be added that the statistical formula for counting the maintenance process score of each maintenance equipment is The geometric mean algorithm is an operation mode of multiplying a plurality of numbers and taking the corresponding power, and is commonly used to measure the comprehensive level of a plurality of indexes. Compared with the arithmetic mean, it emphasizes the mutual relationship and comprehensive effect between indexes. When counting the maintenance process score of the maintenance equipment , the maintenance step compliance coefficient , the maintenance duration qualified coefficient and the personnel operation influence coefficient are multiplied, which is essentially a deformation application of the geometric mean algorithm. This way combines the maintenance step compliance coefficient, the maintenance duration qualified coefficient and the personnel operation influence coefficient to comprehensively evaluate the maintenance process of the maintenance equipment. Only when the maintenance step is compliant, the duration is qualified and the personnel operation influence is small, a higher maintenance process score can be obtained. Among them, This item is used to adjust the influence of personnel operation, The larger the value is, the greater the negative influence of personnel operation on the maintenance process may be. Therefore, The value is smaller, which will reduce the final qualified coefficient. On the contrary, if the personnel operation influence is small, Close to 1, the influence on the product of the first two coefficients is small, and the influence of a plurality of factors on the qualified degree of the maintenance process is comprehensively reflected.

[0066] The embodiment of the application realizes the bidirectional evaluation of equipment efficiency and personnel operation by analyzing the maintenance process score of the maintenance equipment according to the operation time sequence log of the maintenance equipment and the historical maintenance operation information of the maintenance personnel, improves the accuracy of evaluating the efficiency of the maintenance equipment task execution, and further improves the scientificity and executability of the evaluation result.

[0067] The maintenance result analysis module is configured to, when the maintenance is completed, perform operation tests on the repaired equipment, detect operation test information of each repaired equipment, and analyze the maintenance result score of each maintenance equipment.

[0068] It should be added that the operation test information of each repaired equipment includes test data of each repaired equipment in each function test and test results of each repaired equipment in each fault reappearance test.

[0069] It needs to be added that the test data of each repaired equipment in each function test includes the test value and test response time of each repaired equipment in each function, which is obtained by entering the monitoring system operation interface of the repaired equipment itself, activating the monitoring module related to the function test, and setting the monitoring parameters according to the specific test requirements, such as selecting the function indicators to be monitored, setting the time interval of data recording, etc., function operation and monitoring: let the repaired equipment execute each function test task, and the self-monitoring system will automatically run in the background, real-time monitoring and recording various data of the equipment in the running process, including the test value of each function, at the same time, the monitoring system will record the time stamp of each function operation, and the test response time of the corresponding function is obtained by calculating the difference between adjacent time stamps.

[0070] It needs to be added that the test result of each repaired equipment in each fault reappearance test is fault reappearance or fault non-reappearance, which is obtained by installing various sensors such as temperature sensors, pressure sensors, vibration sensors, current sensors, etc. at the key parts and possible fault parts of the repaired equipment, real-time sensing the physical quantity changes in the running process of the equipment through the sensors, and converting them into electrical signals or digital signals, then collecting the signals output by the sensors according to a certain sampling frequency through the data acquisition system, and transmitting the collected data to the data processing center or monitoring terminal through wired or wireless communication network, so as to process and analyze the collected data by using special data analysis software, set the threshold range of normal running data and fault characteristic data model, when the data exceeds the normal range and meets the fault characteristic model, the system automatically judges as fault reappearance, otherwise, it is judged as fault non-reappearance.

[0071] Please refer to Figure 3 As shown in the figure, the analysis of the repair result score of each repair equipment includes: P1, extracting the test data of each repaired equipment in each function test from the running test information of each repaired equipment, and then counting the function test qualified score of each repaired equipment.

[0072] Further, the counting of the function test qualified score of each repaired equipment includes: P1-1, extracting the test value of each repaired equipment in each function from the test data of each repaired equipment in each function test.

[0073] P1-2, matching and comparing the test value of each repaired equipment in each function with the test score corresponding to each function test value set as a reference, to obtain the test score of each repaired equipment in each function.

[0074] P1-3, calculating the mean value of the test score of each repaired equipment in each function, and taking the calculation result as the function test qualified score of each repaired equipment.

[0075] P2. Extract the response time of each repaired equipment in each functional test from the functional test data of each repaired equipment, and then calculate the pass score of the response time of each repaired equipment.

[0076] Furthermore, the statistical evaluation of the response time qualification score for each repaired piece of equipment includes: P2-1, recording the test response time of each repaired piece of equipment in each functional test as... , Number the equipment that has been repaired. , This is the functional test number. .

[0077] P2-2, Calculate the pass score for the response time of each repaired piece of equipment. , , For the set number The first of the repaired equipment Reference response time for each function.

[0078] It should be added that, The acquisition method is as follows: extract the historical operation data of each repaired equipment from the maintenance equipment management platform, then extract the historical response time of each function of each repaired equipment, and then calculate the average response time of each function of each repaired equipment, which is used as the reference response time of each function of each repaired equipment.

[0079] P3. Extract the test results of each repaired equipment in each fault reproducibility test from the operation test information of each repaired equipment.

[0080] P4. If the test results of each fault reproducibility test for the repaired equipment are all "fault not reproduced", then the maintenance reliability score is recorded as 1. Otherwise, the maintenance reliability score of the repaired equipment is recorded as 0, and thus the maintenance reliability score of each repaired equipment is obtained.

[0081] P5. Select the minimum value from the functional test pass score, response time pass score, and maintenance reliability score of each repaired equipment as the maintenance result score for each repaired equipment.

[0082] P6. Calculate the average of the maintenance result scores for each repaired piece of equipment to obtain the maintenance result score for each repaired piece of equipment, denoted as . .

[0083] The maintenance assessment feedback terminal is used to confirm the assessment score of each maintenance equipment based on the maintenance diagnosis score, maintenance process score, and maintenance result score of each maintenance equipment, and to provide corresponding feedback on the maintenance equipment management platform.

[0084] Exemplarily, the confirming the examination scores of the respective maintenance devices comprises extracting a maintenance diagnosis score of the respective maintenance device , a maintenance process score of the respective maintenance device , and a maintenance result score of the respective maintenance device .

[0085] counting the examination scores of the respective maintenance devices , , , and are respectively weights of the set reference maintenance diagnosis score, the maintenance process score and the maintenance result score, , .

[0086] It should be added that the maintenance diagnosis is the starting point and key link of the maintenance work, and accurate diagnosis can determine the key information such as the specific location, cause and degree of the fault of the military equipment, and provide a clear direction for the subsequent maintenance work. If the diagnosis is wrong, the normativeness of the subsequent maintenance process and the eligibility of the final result may only be temporary appearances, and the problem cannot be fundamentally solved. The military equipment may malfunction again in a short time. For key fields such as military maintenance equipment, accurate diagnosis can timely find potential safety hazards, so its weight is the highest. The maintenance process eligibility is the key link to ensure the maintenance quality. A standardized maintenance process can ensure that each step of the maintenance work meets the technical requirements and operation specifications, so that the maintenance work can be carried out in an orderly manner, thereby accurately implementing the scheme determined by the maintenance diagnosis, ensuring that the maintenance, replacement and other work of each part meet the quality standards, and at the same time, following the correct maintenance process operation can avoid causing new damage to the equipment or introducing new fault factors in the maintenance process, so its weight is only second to the maintenance diagnosis. The maintenance result eligibility is usually judged by a series of tests and inspections on the equipment whether the equipment has returned to the normal operating state. However, there is a certain limitation in focusing only on the result because some faults may have latency or intermittency and may not immediately appear under the current test conditions. At the same time, the maintenance result is largely dependent on the correctness and normativeness of the maintenance diagnosis and the maintenance process. The maintenance result eligibility is only a test of the current state and cannot completely represent the overall quality of the maintenance work and the long-term reliability of the device, so its weight is the lowest. Therefore, , in order to facilitate analysis, may be specifically 0.5, may be specifically 0.3, may be specifically 0.2.

[0087] The embodiment of the application realizes the whole-chain closed-loop evaluation of "diagnosis-process-result" by confirming the evaluation score of each maintenance equipment based on the maintenance diagnosis score, the maintenance process score and the maintenance result score of each maintenance equipment, more comprehensively evaluates the state of the maintenance equipment, and thus improves the accuracy of the analysis result.

[0088] The above is only an example and explanation of the concept of the application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or replace them with similar ways, as long as the concept of the application is not deviated or the scope defined by the application is not exceeded, which shall belong to the protection scope of the application.

Claims

1. An information management system for the assessment of military equipment maintenance and support equipment, characterized in that: The system includes: The maintenance equipment allocation module is used to allocate maintenance equipment based on the prior fault diagnosis reports of each piece of equipment to be maintained, using a dynamic batch association algorithm. The maintenance diagnosis and analysis module is used to detect the actual fault diagnosis reports of each maintenance equipment for each piece of equipment under maintenance, and then analyze the maintenance diagnosis score of each maintenance equipment. The maintenance process analysis module is used to extract the cause of the prior fault from the prior fault diagnosis report, and to perform maintenance on the equipment to be maintained accordingly. At the same time, it records the operation time log of each maintenance equipment, and then analyzes the maintenance process score of each maintenance equipment. The maintenance result analysis module is used to perform operational tests on the repaired equipment after maintenance is completed, detect the operational test information of each repaired piece of equipment, and then analyze the maintenance result score of each repaired piece of equipment. The maintenance assessment feedback terminal is used to confirm the assessment score of each maintenance equipment based on the maintenance diagnosis score, maintenance process score, and maintenance result score of each maintenance equipment, and to provide corresponding feedback on the maintenance equipment management platform. Based on the operation time logs of each maintenance equipment, the compliance coefficient of maintenance steps and the acceptable coefficient of maintenance time are analyzed. Based on the historical maintenance operation information of each maintenance personnel, the compliance of their operating procedures and the accuracy of fault location are analyzed. Therefore, a personnel operation influence coefficient is set for each maintenance equipment, and the maintenance process score for each equipment is calculated. The statistical formula for the maintenance process score of each maintenance equipment is as follows: ,in, For the compliance coefficient of maintenance procedures, This is the maintenance time qualification coefficient. The impact coefficient of personnel operation on each maintenance equipment; Based on the operational test information of each repaired piece of equipment, the functional test pass score, response time pass score, and maintenance reliability score of each repaired piece of equipment are statistically analyzed, and then the maintenance result score of each repaired piece of equipment is statistically analyzed.

2. The assessment and information management system for military equipment maintenance and support equipment according to claim 1, characterized in that: The analysis of the maintenance diagnosis scores for each piece of equipment includes: G1. Match and compare the actual inspection fault diagnosis reports of each maintenance equipment with the prior fault diagnosis reports of each equipment to be maintained, and record the maintenance diagnosis that is consistent with the results of the actual inspection fault diagnosis reports and the prior fault diagnosis reports as the correct diagnosis. G2. Calculate the number of correct diagnoses for each piece of equipment and the total number of diagnoses, and use the ratio of these two as the fault location accuracy rate for each piece of equipment, denoted as . , Number the equipment to be repaired. ; G3. Extract the diagnosis time of each maintenance equipment for each piece of equipment to be repaired from the on-site fault diagnosis reports of each maintenance equipment, and calculate the compliance coefficient of the diagnosis time of each maintenance equipment. ; G4. Compile maintenance diagnostic scores for each maintenance equipment. , In the formula The weighting adjustment factor is used to set the reference.

3. The assessment and information management system for military equipment maintenance and support equipment according to claim 2, characterized in that: The statistical calculation of the compliance coefficient for the diagnostic time of each maintenance device includes: The fault type of each piece of equipment to be repaired is extracted from the prior fault diagnosis report of each piece of equipment to be repaired, and then the baseline diagnosis time of each fault type is extracted from the maintenance equipment management platform and used as the baseline diagnosis time of each piece of equipment to be repaired. The diagnostic time of each maintenance equipment for each piece of equipment to be maintained is matched and compared with its baseline diagnostic time. If the diagnosis time of a certain piece of equipment to be repaired belonging to a certain maintenance equipment is less than its baseline diagnosis time, then 1 is taken as the compliance coefficient of the diagnosis time of the equipment to be repaired belonging to the maintenance equipment. Conversely, the ratio of the baseline diagnosis time to the diagnosis time is taken as the compliance coefficient of the diagnosis time of the equipment to be repaired belonging to the maintenance equipment, and thus the compliance coefficient of the diagnosis time of each piece of equipment to be repaired belonging to each maintenance equipment is obtained. The average of the diagnostic time compliance coefficients of each piece of equipment to be repaired is calculated to obtain the diagnostic time compliance coefficient of each piece of equipment.

4. The assessment and information management system for military equipment maintenance and support equipment according to claim 1, characterized in that: The analysis of the maintenance process scoring for each piece of maintenance equipment includes: H1. Based on the prior fault diagnosis reports of each piece of equipment to be repaired, extract the standard repair steps corresponding to the prior fault diagnosis reports of each piece of equipment to be repaired from the maintenance equipment management platform. H2. Extract the actual maintenance steps of each maintenance equipment for each piece of equipment to be maintained from the operation time log of each maintenance equipment, and match and compare them with the corresponding standard maintenance steps. H3. Calculate the number of consistent maintenance steps for each piece of equipment and the total number of maintenance steps, and use the ratio of these two as the compliance coefficient for maintenance steps of each piece of equipment, denoted as [missing value]. ; H4. Extract the actual maintenance time of each maintenance equipment for each piece of equipment to be maintained from the operation time log of each maintenance equipment, and then calculate the maintenance time qualification coefficient of each maintenance equipment. ; H5: Extract historical maintenance operation information of each maintenance worker from the maintenance equipment management platform, and then set the personnel operation impact coefficient for each maintenance equipment. ; H6. Calculate the maintenance process score for each piece of maintenance equipment using the geometric mean algorithm. .

5. The assessment and information management system for military equipment maintenance and support equipment according to claim 4, characterized in that: The statistical analysis of the repair time qualification coefficient for each piece of repair equipment includes: Extract the reference repair time range corresponding to the prior fault diagnosis report of each piece of equipment to be repaired from the maintenance equipment management platform; Based on the actual repair time of each maintenance equipment for each piece of equipment to be repaired and the corresponding reference repair time interval, the repair time qualification coefficient of each maintenance equipment is statistically calculated using a normal distribution model.

6. The assessment information management system for military equipment maintenance and support equipment according to claim 4, characterized in that: The setting of personnel operation impact coefficients for each maintenance equipment includes: Extract the maintenance operation scores and fault location accuracy rates for each maintenance worker's historical maintenance operations from their historical maintenance operation information, and record each maintenance worker's fault location accuracy rate as follows: , Number the maintenance personnel. ; The average repair operation score of each repairman is calculated by averaging the scores of each repair operation. Then, the average repair operation score of each repairman is compared with the corresponding repair operation score range for each level of compliance with operating procedures to obtain the compliance degree of each repairman with operating procedures, which is recorded as follows: ; Calculate the impact coefficient of personnel operation for each maintenance worker. , , and These are the weights for the accuracy of fault location and the compliance with operating procedures, respectively, set as references. , ; The maintenance personnel corresponding to each maintenance equipment are extracted from the on-site fault diagnosis reports of each maintenance equipment and the equipment to be maintained, and then the personnel operation impact coefficient of each maintenance equipment is screened out.

7. The assessment and information management system for military equipment maintenance and support equipment according to claim 1, characterized in that: The analysis of the maintenance results scoring for each piece of maintenance equipment includes: P1. Extract the functional test data of each repaired equipment from the operation test information of each repaired equipment, and then calculate the functional test pass score of each repaired equipment. P2. Extract the response time of each repaired equipment in each functional test from the functional test data of each repaired equipment, and then calculate the pass score of the response time of each repaired equipment. P3. Extract the test results of each repaired equipment in each fault reproducibility test from the operation test information of each repaired equipment. P4. If the test results of the repaired equipment in each fault reproducibility test are that the fault is not reproduced, then the maintenance reliability score is recorded as 1; otherwise, the maintenance reliability score of the repaired equipment is recorded as 0, and thus the maintenance reliability score of each repaired equipment is obtained. P5. Select the minimum value from the functional test pass score, response time pass score and maintenance reliability score of each repaired equipment as the maintenance result score of each repaired equipment. P6. Calculate the average of the maintenance result scores for each repaired piece of equipment to obtain the maintenance result score for each repaired piece of equipment, denoted as . .

8. The assessment and information management system for military equipment maintenance and support equipment according to claim 7, characterized in that: The statistical analysis of the functional test pass scores for each repaired piece of equipment includes: Extract the test values ​​of each repaired equipment in each function from the test data of each function test; The test values ​​of each repaired piece of equipment in each function are matched and compared with the test scores corresponding to the test values ​​of each function set as references to obtain the test scores of each repaired piece of equipment in each function. The average score of each function test of the repaired equipment is calculated, and the result is used as the functional test pass score of each repaired equipment.

9. The assessment and information management system for military equipment maintenance and support equipment according to claim 7, characterized in that: The statistical analysis of the response time qualification score for each repaired piece of equipment includes: The test response time of each repaired piece of equipment in each functional test is recorded as follows: , Number the equipment that has been repaired. , This is the functional test number. ; Statistical analysis of the response time qualification score for each repaired piece of equipment , , For the set number The first of the repaired equipment Reference response time for each function.

10. The assessment information management system for military equipment maintenance and support equipment according to claim 7, characterized in that: The assessment scores for each maintenance device are confirmed, including: Extract maintenance diagnostic scores for each piece of equipment. Scoring of the maintenance process for each piece of equipment And the rating of the maintenance results of each maintenance equipment ; Statistical analysis of the assessment scores for each maintenance equipment , , , and These are the weights for the referenced maintenance diagnosis score, maintenance process score, and maintenance result score. , .

Images