A method for optimizing maintenance equipment selection based on task contribution rate

Abstract

This invention relates to the field of maintenance equipment, and more particularly to a method for optimizing the selection and allocation of maintenance equipment based on task contribution rate. The method includes the following steps: S1: Analyzing vehicle maintenance tasks under field conditions to identify the type of vehicle maintenance task; S2: Based on the type of vehicle maintenance task, and the corresponding professional and categorical requirements of the equipment, constructing a maintenance task state vector, and establishing a comprehensive task completion requirement matrix based on the maintenance task state vector. This invention quantifies the task contribution rate using three elements—relevance, necessity, and importance—and establishes an optimized allocation model, transforming allocation based on personal experience into a quantitative evaluation method. It aims to achieve scientific allocation with the minimum total number of equipment, while providing a quantitative verification basis for omission risks under the strong constraints of local level repair standards, balancing optimality and compliance.

Description

Technical Field

[0001] This invention relates to the field of maintenance equipment, and more particularly to a method for optimizing the selection of maintenance equipment based on task contribution rate. Background Technology

[0002] When conducting vehicle repair tasks in the field, vehicle repair shops need to select and carry appropriate repair equipment based on the type of task. Reasonable equipment selection can effectively improve the efficiency of vehicle repair operations while saving manpower, transportation resources, and equipment wear and tear, making it a key aspect of resource preparation for vehicle repair shops. Currently, for repair tasks in the field, vehicle repair shops mainly rely on the accumulated work experience of repair technicians to manually select and allocate the necessary repair equipment. This experience-based selection method is not objective enough, as it is greatly influenced by subjective factors such as the professional competence of repair technicians, their familiarity with the repair equipment, and their physical and psychological state during judgment and decision-making, resulting in an imperfect selection outcome. Furthermore, repair technicians typically... Having only a basic understanding of the equipment used in one's own specialty is insufficient for independently selecting and configuring the overall equipment for a vehicle repair organization. This requires the participation of technicians from various specialties, consuming significant human resources. Furthermore, when vehicle repair tasks are heavy in the field, the effectiveness and reliability of selection based on work experience decrease significantly, easily leading to inaccurate and uneven selection. The personal experience of repair technicians lacks clear scientific guidance and theoretical support, making it difficult to pass on and learn from, thus hindering the effective improvement of the overall professional technical capabilities and equipment utilization efficiency of vehicle repair organizations. Currently, there is no reasonable and practically applicable method for optimizing and evaluating the selection of repair equipment; a scientific evaluation method and practical technical means are urgently needed to support vehicle repair organizations in effectively carrying out repair operations under field conditions. In various field maintenance tasks, on-site grade repair is a preventative maintenance method that, based on vehicle repair standards, involves disassembling, dismantling, cleaning, inspecting, assembling, debugging, installing, and comprehensively testing all components of a vehicle after its main service parameters have reached a defined service life. This method imposes mandatory requirements on equipment configuration according to standards, necessitating comprehensive and standardized maintenance. When using a selection method that minimizes the total number of equipment, some equipment that is mandated by standards but has a relatively low task contribution rate may be excluded from the selection scheme, resulting in selection results that do not meet technical standard compliance requirements. This implicit omission generated by the optimization model is difficult to detect and correct in a timely manner through manual item-by-item verification. Existing technologies lack effective means to quantify and evaluate the deviation between the mandatory equipment requirements of the standards and the optimal selection scheme based on the task contribution rate when dealing with such equipment selection problems with strong standard constraints. This fails to provide maintenance technicians with targeted omission risk identification and review decision-making basis. Summary of the Invention

[0003] To overcome the shortcomings of existing maintenance equipment selection methods, which rely on human experience, are highly subjective and difficult to quantify, and have the risk of implicit omissions under standard, strongly constrained tasks, this invention provides a maintenance equipment optimization selection method based on task contribution rate.

[0004] The technical implementation scheme of the present invention is as follows: a method for optimizing the selection and allocation of maintenance equipment based on task contribution rate, comprising the following steps: S1: Analyze vehicle maintenance tasks under field conditions and identify the types of vehicle maintenance tasks; S2: Based on the vehicle maintenance task type, and the corresponding task's professional requirements for equipment and the task's category requirements for equipment, construct a maintenance task state vector, and establish a task completion comprehensiveness requirement matrix based on the maintenance task state vector; S3: Construct a comprehensive evaluation model for the task contribution rate of maintenance equipment. The comprehensive evaluation model for the task contribution rate is constructed based on three independent factor indicators: the relevance, necessity, and importance of maintenance equipment and tasks. The relevance is evaluated using the comprehensive requirement matrix for task completion. S4: Select a set of maintenance equipment from the preset candidate set of maintenance equipment, take the set of maintenance equipment as the decision variable, take the minimum total number of selected equipment as the objective function, take the task contribution rate as the constraint, establish a mathematical model for the optimal selection of maintenance equipment based on the task contribution rate, and solve to obtain the equipment selection scheme. S5: When the vehicle maintenance task type is on-site level repair, retrieve the set of standard required equipment from the preset maintenance standard specifications, compare it with the equipment selection scheme, calculate the omission risk index of the unselected equipment, output the omission equipment risk assessment report, and the maintenance personnel review the equipment selection scheme.

[0005] Preferably, the analysis of vehicle maintenance tasks under field conditions and the clarification of vehicle maintenance task types include: analyzing various vehicle maintenance tasks of vehicle maintenance organizations under field conditions based on the maintenance content, maintenance time, maintenance personnel and related support conditions of each task, and classifying the types of vehicle maintenance tasks under field conditions into four categories: patrol and repair, emergency repair, accompanying repair and on-site level repair.

[0006] Preferably, constructing the maintenance task state vector includes: defining the maintenance task state vector. ,in, This indicates the value of the maintenance task type attribute. This indicates the attribute value representing the equipment's professional requirements for the maintenance task. This indicates the attribute value required by the maintenance task for the equipment category; The It has 4 state values, and the corresponding set of field vehicle repair task types is as follows: ;in This indicates inspection and maintenance. This indicates that emergency rescue and repairs are underway. Indicates that repairs are being carried out. Indicates on-site repair level; The It has 5 status values, and the corresponding set of professional attributes for the maintenance equipment is as follows: ;in This indicates expertise in chassis design. Indicates machining profession. Indicates control engineering. Indicates telecommunications major. Indicates electrical engineering; The It has 6 status values, and the corresponding set of maintenance equipment category attributes is as follows: ;in This refers to tools and measuring instruments. This refers to support or stand-type equipment. This refers to testing and calibration equipment. Indicates mechanical processing equipment, Indicates facilities and equipment. Indicates other devices.

[0007] Preferably, establishing a comprehensive requirement matrix for task completion based on the maintenance task state vector includes: using the equipment professional requirement attribute values ​​of the maintenance task. and the equipment category requirement attribute values ​​for the maintenance task. Considering the matching of task requirements with maintenance equipment specialties and equipment types, a comprehensive requirement matrix for task completion is established. ,in To meet the professional needs for equipment maintenance, The required quantity for each type of maintenance equipment; when When a vehicle repair shop needs to perform a repair task in the field, it indicates that the repair shop needs to... The first of the majors Types of maintenance equipment; when When, it means that the first one is not needed. The first of the majors Types of maintenance equipment, , .

[0008] Preferably, the comprehensive evaluation model for the task contribution rate of the maintenance equipment is constructed based on three independent factor indicators: the relevance, necessity, and importance of the maintenance equipment to the task. This includes: for relevance evaluation, obtaining the first... Repair equipment Professional attribute value and category attribute values The professional attribute value and category attribute values The comprehensive requirements matrix for completing the task. By comparing the equipment and the task, a correlation evaluation value is obtained. When the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When the required values ​​for the corresponding positions are all 1, For relevance; when the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When at least one of the required values ​​at the corresponding position is not 1, Unrelated; For necessity evaluation, obtain the first [item] to be evaluated. Repair equipment Component validity attribute value and function attribute values Calculate the necessity evaluation value : ;in, A collection of problematic parts encountered during vehicle repair tasks. A collection of equipment functions required to solve problems in vehicle repair tasks. To be a function that takes the number of elements in a set. The range of values ​​is .

[0009] Preferably, the comprehensive evaluation model for the task contribution rate of the maintenance equipment is constructed based on three independent factor indicators: the relevance, necessity, and importance of the maintenance equipment to the task. This includes: for the importance evaluation, considering the comprehensive requirement matrix for task completion... Based on this, and considering the importance weights of various professional needs and different types of needs, a task completion importance evaluation matrix is ​​established. ,in Indicates the first The first of the majors The importance of this type of equipment requirement in this mission; when hour, ;when hour, ; For the Repair equipment Based on professional attribute values and category attribute values From the task completion importance evaluation matrix Extract the importance evaluation value of the corresponding position , is represented as: ;in, This represents the first item in the set of professional attributes of maintenance equipment. Each professional status value, Represents the first in the set of attributes for maintenance equipment categories The device status values ​​are used respectively in the task completion importance evaluation matrix. The row position corresponding to the specialty and the column position corresponding to the category of the positioning and maintenance equipment are determined; the correlation evaluation value is obtained after this. Necessity evaluation value Importance evaluation value Then, considering the independence and decoupling of the three factors and their combined effect to constitute the task contribution rate, a comprehensive evaluation model for the task contribution rate of maintenance equipment is established.

[0010] Preferably, the step of considering the independence and decoupling of the three factors and their combined effect to constitute the task contribution rate, and establishing a comprehensive evaluation model for the task contribution rate of maintenance equipment, includes: obtaining the correlation evaluation value. Necessity evaluation value Importance evaluation value Based on this, a comprehensive evaluation model for the contribution rate of maintenance equipment tasks is established, and the following formula is used to calculate the first... Repair equipment Task contribution rate : ;in, The value can be 0 or 1; The value range is [0, 1]; The value range is (0, 1]; when hour, This indicates that the repair equipment is unrelated to the task and does not contribute to the task; when hour, It is determined by both necessity and importance.

[0011] Preferably, the step of establishing a mathematical model for optimizing the selection of maintenance equipment based on task contribution rate includes: the preset candidate set of maintenance equipment is a summary set of existing maintenance equipment at the field repair base. The selected maintenance equipment set is as follows , for A subset of, the Repair equipment satisfy ; The objective function aims to minimize the total number of selected devices. The objective function is: ,in Selecting equipment for maintenance The number of elements in; Using the task contribution rate as a constraint, specifically for the selected and equipped [task type]... Repair equipment Task contribution rate index value Must meet , ,in The contribution rate of the i-th maintenance equipment to the task. The preset equipment task contribution rate index reference standard threshold; The constraints also include at least one of the following: selecting the equipped first Repair equipment Commonly used performance index values Must meet , ,in Preset reference thresholds for commonly used equipment indicators; utility characteristic index values. Must meet , ,in The preset device utility characteristic index reference standard threshold; portability index value Must meet , ,in The preset equipment portability index reference standard threshold; quality status attribute value. Must meet , ,in This indicates that the item is in good working order and is in a usable condition. ;in This is a set of quality states, including the new product ready-to-use state. In good working order Status: Awaiting repair and scrapped status .

[0012] Preferably, when the vehicle repair task type is on-site level repair, the standard mandatory equipment set is retrieved from the preset repair standard specifications, compared with the equipment selection scheme, the omission risk index of unselected equipment is calculated, and an omission equipment risk assessment report is output. Repair personnel then review the equipment selection scheme, including: when the vehicle repair task type is on-site level repair, after solving for the equipment selection scheme... Subsequently, based on the vehicle model and repair level, the set of standard required equipment corresponding to the on-site repair task is retrieved from the preset maintenance standard and specification database. And a standard association weight matrix describing the degree of association between each maintenance equipment and each standard maintenance procedure. The standard required equipment set Includes all maintenance equipment that is required by vehicle maintenance technical standards; The standard required equipment set Equipment selection scheme Perform a difference operation to obtain the set of mandatory devices that were not selected, which will be used as the set of missing candidate devices. , represented as ; For the above Each device in Calculate the omission risk index The calculation formula is: ,in and These are the weighting coefficients. The standard forced deviation value represents the equipment. In the standard required equipment set The set degree of coercion is quantified into a score. This represents the model's omitted bias value; Output a document containing the above Each device in the list and its corresponding omission risk index The report on the risk assessment of missing equipment is provided for maintenance technicians to select equipment based on the aforementioned equipment configuration plan. The equipment selection scheme was finally reviewed and adjusted.

[0013] Preferably, the model omission bias value includes: the model omission bias value. The calculation method is as follows: ;in, Indicates equipment selection scheme The total number of devices in the system. Based on the standard correlation weight matrix Calculated missing candidate devices Equipment already selected in the equipment selection scheme The degree of functional correlation between the two processes is determined using a normalized correlation coefficient, reflecting the closeness of the functional correlation between the two pieces of equipment in standard maintenance procedures; when and When all equipment is highly interconnected in a standard process, Approaching n, A value close to 0 indicates a low risk of omission; when and When the equipment in the process has low correlation in the standard procedure, Low, A value close to 1 indicates a high risk of omission.

[0014] Beneficial Effects: This invention constructs a maintenance task state vector and a comprehensive requirement matrix for task completion, structurally representing the professional and categorical requirements of different types of maintenance tasks on equipment under field conditions. This quantifies the matching relationship between maintenance tasks and maintenance equipment, providing an analytical basis for the scientific selection of maintenance equipment. By establishing a comprehensive evaluation model of task contribution rate based on three independent indicators—relevance, necessity, and importance—the model decouples and multiplicatively couples the degree of fit, effective role, and importance of maintenance equipment to the task. The task contribution rate comprehensively reflects the overall contribution level of maintenance equipment to task completion. The contribution rate only has practical significance when the equipment is both relevant to the task and possesses value in terms of function and importance, reducing selection bias caused by a single factor. By using the maintenance equipment selection set as the decision variable, the total equipment... With the minimum number of devices as the optimization objective and the task contribution rate as the core constraint, an optimized equipment selection mathematical model is established. This transforms the experience-driven equipment selection problem into a solvable mathematical optimization problem, enabling the selection scheme to minimize the number of devices while meeting task requirements. By targeting local level repair task types, a set of standard mandatory equipment is retrieved from the preset maintenance standards and specifications and compared with the optimized selection scheme using a difference set comparison. A standard correlation weight matrix and model omission deviation value are introduced to quantify the functional correlation between omission candidate equipment and selected equipment in standard maintenance procedures. This is then weighted and fused with the standard forced deviation value to construct an omission risk index. This allows for the automatic detection and risk ranking of mandatory equipment that may be potentially omitted due to the optimization objective, providing maintenance technicians with an intuitive basis for verification and ensuring that the selection scheme achieves an effective balance between optimization and compliance. Attached Figure Description

[0015] Figure 1 This is a flowchart of the maintenance equipment optimization and selection method based on task contribution rate of the present invention; Figure 2 This is a flowchart of the omission risk quantification assessment method based on standard strong constraints of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example: A method for optimizing the selection of maintenance equipment based on task contribution rate, such as... Figure 1 and Figure 2 As shown, it includes the following steps: S1: Analyze vehicle maintenance tasks under field conditions and identify the types of vehicle maintenance tasks; S2: Based on the vehicle maintenance task type, and the corresponding task's professional requirements for equipment and the task's category requirements for equipment, construct a maintenance task state vector, and establish a task completion comprehensiveness requirement matrix based on the maintenance task state vector; S3: Construct a comprehensive evaluation model for the task contribution rate of maintenance equipment. The comprehensive evaluation model for the task contribution rate is constructed based on three independent factor indicators: the relevance, necessity, and importance of maintenance equipment and tasks. The relevance is evaluated using the comprehensive requirement matrix for task completion. S4: Select a set of maintenance equipment from the preset candidate set of maintenance equipment, take the set of maintenance equipment as the decision variable, take the minimum total number of selected equipment as the objective function, take the task contribution rate as the constraint, establish a mathematical model for the optimal selection of maintenance equipment based on the task contribution rate, and solve to obtain the equipment selection scheme. S5: When the vehicle maintenance task type is on-site level repair, retrieve the set of standard required equipment from the preset maintenance standard specifications, compare it with the equipment selection scheme, calculate the omission risk index of the unselected equipment, output the omission equipment risk assessment report, and the maintenance personnel review the equipment selection scheme.

[0018] Based on the content, time, personnel, and support of each vehicle repair task in the field, and according to the patterns and characteristics of vehicle repair, the types of vehicle repair tasks in the field are divided into four categories: patrol and repair, emergency repair, accompanying repair, and on-site level repair.

[0019] It should be clarified that the analysis of vehicle repair tasks under field conditions refers to the collection and organization of basic data on the repair content, repair time, repair personnel, and related support for each vehicle repair task carried out by vehicle repair organizations under field conditions. Based on this basic data, the tasks are categorized and analyzed according to the patterns and characteristics of vehicle repair, identifying the differences in organizational methods, implementation conditions, and resource requirements among different task types. Accordingly, vehicle repair tasks under field conditions are classified into four categories: patrol and inspection repair, emergency repair, accompanying repair, and on-site level repair. Patrol and inspection repair refers to the dispatch of patrol and inspection teams by vehicle repair organizations, either regularly or irregularly. Vehicle inspection and troubleshooting work carried out on the front line of vehicle use will be organized in short-term or long-term forms depending on the distance of the task area; rescue and emergency repair refers to the vehicle repair organization forming a rescue and emergency repair team after learning about the fault of the vehicle to be repaired, rushing to the vehicle's location to determine the damage and carry out repairs; accompanying repair refers to the vehicle repair organization dispatching an accompanying repair team, which is assigned to the organization performing the special task, and returns after completing the maintenance or repair task for a continuous period of time; on-site grade repair refers to the dispatching of an on-site grade repair team to the task area to carry out comprehensive preventive maintenance work on the vehicle as a whole after it has reached the end of its service life, in accordance with vehicle repair standards.

[0020] Define the maintenance task state vector ,in, This indicates the value of the maintenance task type attribute. This indicates the attribute value representing the equipment's professional requirements for the maintenance task. This indicates the attribute value required by the maintenance task for the equipment category; The It has 4 state values, and the corresponding set of field vehicle repair task types is as follows: ;in This indicates inspection and maintenance. This indicates that emergency rescue and repairs are underway. Indicates that repairs are being carried out. Indicates on-site repair level; The It has 5 status values, and the corresponding set of professional attributes for the maintenance equipment is as follows: ;in This indicates expertise in chassis design. Indicates machining profession. Indicates control engineering. Indicates telecommunications major. Indicates electrical engineering; The It has 6 status values, and the corresponding set of maintenance equipment category attributes is as follows: ;in This refers to tools and measuring instruments. This refers to support or stand-type equipment. This refers to testing and calibration equipment. Indicates mechanical processing equipment, Indicates facilities and equipment. Indicates other devices.

[0021] It should be explained that the maintenance task state vector The maintenance task state vector is used to structurally characterize the multi-dimensional requirements of field vehicle maintenance tasks. The value of the maintenance task type attribute Maintenance tasks require specific equipment attributes. Maintenance tasks require specific attribute values ​​for equipment categories. It consists of three dimensions; the attribute value of the maintenance task type. This attribute is used to identify the type of field vehicle repair task the current task belongs to. The value is derived from the classification of vehicle repair task types under field conditions. The state space is a set of field vehicle repair task types. It contains four state values. This corresponds to the aforementioned inspection and maintenance. Corresponding to the aforementioned emergency rescue and repair. Corresponding to the accompanying repairs, Corresponding to the aforementioned on-site level repair; constructing the maintenance task state vector for specific maintenance tasks. At that time, based on the type of the task, select from the set of field vehicle repair task types. Select the corresponding state value and assign it. The maintenance task requires specific equipment attribute values. This is used to identify the professional fields involved in the maintenance equipment required to perform the current task; the state space consists of a set of professional attributes of the maintenance equipment. Correspondingly, it includes five state values. Corresponding chassis specialty, Corresponding to the machining specialty, Corresponding to the control engineering major, Corresponding to the telecommunications major, Corresponding to the electrical engineering major; the set of professional attributes of the maintenance equipment. The professional classifications within the system are determined based on the professional setup standards of vehicle repair organizations. When a repair task involves multiple specialties, the equipment professional requirement attribute value for that repair task is specified. Take the set of professional attributes of the maintenance equipment The corresponding multiple state values; the maintenance task requires attribute values ​​for equipment categories. Used to identify the category of maintenance equipment required to perform the current task; state space and set of maintenance equipment category attributes. Correspondingly, it contains six state values. Corresponding tools and measuring equipment Corresponding to support and stand-type equipment, Corresponding testing and calibration equipment, Corresponding to mechanical processing equipment, Corresponding facilities and equipment, Corresponding to other equipment; the set of attributes for the maintenance equipment category The classification of equipment is determined based on the current classification management standards for vehicle repair equipment. When a repair task requires multiple types of equipment, the equipment category requirement attribute value for the repair task is specified. Take the set of attributes of the maintenance equipment category The corresponding multiple state values.

[0022] Based on the maintenance task, the equipment professional requirement attribute value and the equipment category requirement attribute values ​​for the maintenance task. Considering the matching of task requirements with maintenance equipment specialties and equipment types, a comprehensive requirement matrix for task completion is established. ,in To meet the professional needs for equipment maintenance, The required quantity for each type of maintenance equipment; when When a vehicle repair shop needs to perform a repair task in the field, it indicates that the repair shop needs to... The first of the majors Types of maintenance equipment; when When, it means that the first one is not needed. The first of the majors Types of maintenance equipment, , .

[0023] It should be explained that the aforementioned task completion comprehensiveness requirement matrix The maintenance task state vector that has already been constructed. Based on this, the equipment's professional requirement attribute values ​​are determined through the aforementioned maintenance tasks. and the equipment category requirement attribute values ​​for the maintenance task. The task completion comprehensiveness requirement matrix is ​​established through cross-matching of two dimensions. The number of rows corresponding to the professional requirements of the maintenance equipment The value is taken from the equipment professional requirement attribute value of the maintenance task. The number of professional status values ​​included; the task completion comprehensiveness requirement matrix. The column corresponds to the required quantity of the aforementioned maintenance equipment category. The value is taken from the equipment category requirement attribute value of the maintenance task. The number of category state values ​​contained therein; matrix elements The value is determined by traversing the maintenance task state vector. The maintenance tasks described in the text require specific equipment professional attribute values. and the equipment category requirement attribute values ​​for the maintenance task. For the first The major and the first A combination of these types, where the combination simultaneously appears in the equipment professional requirement attribute value of the maintenance task. and the equipment category requirement attribute values ​​for the maintenance task. When the values ​​of are taken, the matrix elements A value of 1 indicates that the vehicle repair organization needs to perform the aforementioned repair task in the field. The major and the first Types of maintenance equipment; when the combination does not occur simultaneously, matrix elements A value of 0 indicates that performing the repair task does not require the first... The major and the first Types of maintenance equipment.

[0024] For relevance evaluation, obtain the first [item] to be evaluated. Repair equipment Professional attribute value and category attribute values The professional attribute value and category attribute values The comprehensive requirements matrix for completing the task. By comparing the equipment and the task, a correlation evaluation value is obtained. When the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When the required values ​​for the corresponding positions are all 1, For relevance; when the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When at least one of the required values ​​at the corresponding position is not 1, Unrelated; For necessity evaluation, obtain the first [item] to be evaluated. Repair equipment Component validity attribute value and function attribute values Calculate the necessity evaluation value : ;in, A collection of problematic parts encountered during vehicle repair tasks. A collection of equipment functions required to solve problems in vehicle repair tasks. To be a function that takes the number of elements in a set. The range of values ​​is .

[0025] It needs to be explained that, A collection of problematic parts encountered during vehicle repair tasks. The set of equipment functions required to address problems in vehicle repair tasks is determined by maintenance technicians based on fault reports and preliminary diagnostic results obtained upon task acceptance; the correlation evaluation is used to make a preliminary judgment on the suitability of maintenance equipment and tasks; the first item to be evaluated is... Repair equipment The professional attribute value and the category attribute value The professional attribute value and the category attribute value Equipment attribute data, derived from the technical files or management records of vehicle repair equipment, is used to identify the professional field and equipment category of the repair equipment; the professional attribute values ​​are then... and the category attribute value The comprehensive requirements matrix for completing the task. By comparing and locating the professional attribute values. The task completion comprehensiveness requirements matrix The corresponding row position and the category attribute value. The task completion comprehensiveness requirements matrix Read the matrix element value at the intersection of the row and the column corresponding to the column position. When the value of the matrix element is 1, the correlation evaluation value is... A value of 1 indicates that the maintenance equipment is relevant to the current task; when the matrix element value is not 1, the relevance evaluation value is... A value of 0 indicates that the maintenance equipment is irrelevant to the current task; the necessity evaluation is used to further analyze the extent to which the maintenance equipment can effectively contribute to completing the task; obtain the first [item] to be evaluated. Repair equipment The component validity attribute value and the aforementioned functional attribute value The component validity attribute value The functional attribute values ​​are derived from the range of vehicle components to which the equipment is applicable, as recorded in the technical file of the repair equipment. The equipment's testing or repair functions are derived from the technical documentation of the repair equipment; the collection of problematic components in the vehicle repair task. The set consisting of the equipment functions required to solve the problems in the vehicle repair task. The necessity evaluation value is determined by maintenance technicians based on the fault report information and preliminary diagnostic results obtained when the task is accepted; In the calculation formula, This is used to determine if the repair equipment and the problematic component in the task have an intersection; when the intersection is not empty... The function takes a value of 1, indicating that the device is valid for the components required for the task; when the intersection is empty... A function value of 0 indicates that the device is not a component required for the task, and the necessity evaluation value is set to zero. This indicates the number of functional matches between the maintenance equipment and the required functionalities for the task. This represents the total number of functions required for the task. The ratio of this ratio reflects the extent to which the device's functions cover the required functions for the task; a higher ratio indicates a greater effective role of the device in completing the task. The necessity evaluation... The value range is from 0 to 1.

[0026] For the importance assessment, the task completion comprehensiveness requirement matrix is ​​used. Based on this, and considering the importance weights of various professional needs and different types of needs, a task completion importance evaluation matrix is ​​established. ,in Indicates the first The first of the majors The importance of this type of equipment requirement in this mission; when hour, ;when hour, ; For the Repair equipment Based on professional attribute values and category attribute values From the task completion importance evaluation matrix Extract the importance evaluation value of the corresponding position , is represented as: ;in, This represents the first item in the set of professional attributes of maintenance equipment. Each professional status value, Represents the first in the set of attributes for maintenance equipment categories The device status values ​​are used respectively in the task completion importance evaluation matrix. The row position corresponding to the specialty and the column position corresponding to the category of the positioning and maintenance equipment are determined; the correlation evaluation value is obtained after this. Necessity evaluation value Importance evaluation value Then, considering the independence and decoupling of the three factors and their combined effect to constitute the task contribution rate, a comprehensive evaluation model for the task contribution rate of maintenance equipment is established.

[0027] It should be explained that the importance assessment is used to measure the degree of role played by maintenance equipment in the completion and resolution of tasks; in the task completion comprehensiveness requirement matrix Based on this, and considering the importance weights of various professional needs and different types of needs, an evaluation matrix for the importance of completing the task is established. The task completion importance evaluation matrix The row and column structure and the task completion comprehensiveness requirement matrix Same, number of rows The number of columns is ; matrix elements The determination method is as follows: when the task completes the comprehensive requirement matrix The element at the corresponding position in When it is 0, The value is 0; when the element at the corresponding position... When it is not 0, The value is a number greater than 0 and not exceeding 1, representing the first... The first of the majors The importance of this type of equipment requirement in this mission; the This represents the first item in the set of professional attributes of maintenance equipment. Each professional status value, the Derived from the collection of professional attributes of maintenance equipment The status of each professional classification in the data; among them, This represents a professional category index, corresponding to one of the following professional categories: chassis, machining, control, communications, and electrical engineering. It is used in the task completion importance evaluation matrix. The location of the maintenance equipment corresponds to the line position of the relevant specialty; Represents the set of attributes for maintenance equipment categories The first in Device status values, among which This represents the equipment category index, corresponding to one of the following categories: tools and gauges, supports and benches, testing and calibration equipment, machining equipment, facilities, and other equipment. It is used in the task completion importance evaluation matrix. The column position corresponding to the category to which the maintenance equipment belongs is located; the specific method for quantifying the importance is to extract the frequency of use of each specialty and type of equipment in similar tasks from the historical maintenance task data of the vehicle maintenance organization. Fault correlation and repair effectiveness rating Three basic indicators, among which frequency of use For the first The first of the majors The fault correlation degree is the ratio of the number of times a device of a certain type was actually used in the same type of historical tasks to the total number of times the same type of historical tasks were used. The results are derived from the fault diagnosis results and equipment usage records in the historical maintenance task records of the vehicle repair organization. This is achieved through statistical analysis of the first... The first of the majors The number of times that a device of a certain type has participated in fault detection, location, or troubleshooting in similar historical tasks and has been confirmed as a directly related device through maintenance and verification, is related to the number of times the device of that type has participated in fault detection, location, or troubleshooting in similar historical tasks. The first of the majors The ratio of the total number of times the same type of equipment participated in the same type of historical task is used to determine the maintenance effectiveness score. This data originates from the historical repair task evaluation records of the vehicle repair organization, and is obtained through statistical analysis of the first... The first of the majors The number of times that a type of equipment has successfully completed troubleshooting and restored a vehicle to normal operating condition after participating in maintenance in similar historical tasks, compared with the number mentioned above. The first of the majors The ratio of the total number of similar historical tasks involving the same type of equipment in maintenance is used to determine the importance value; the three basic indicators are weighted and summed to calculate the median importance value. ,in , and The weights are usage frequency weight, fault correlation weight, and repair effectiveness weight, respectively. Each weight is determined using the analytic hierarchy process (AHP) based on the vehicle repair organization's repair management experience. The intermediate importance values ​​for all locations with demand are then subjected to max-min normalization to obtain the matrix elements. This ensures that the sum of all non-zero elements is 1, reflecting the relative importance of each requirement combination within the overall task requirements; for the ... Repair equipment Based on the aforementioned professional attribute values and the category attribute value From the task completion importance evaluation matrix Locate the row corresponding to the professional attribute value and the column corresponding to the category attribute value, and extract the matrix element value at the location as the importance evaluation. After obtaining the correlation evaluation values ​​respectively The necessity evaluation value and the importance evaluation value Following the three independent factor indicators, a comprehensive evaluation model for the task contribution rate is established. These three independent factor indicators are independent and decoupled from each other, and are evaluated from three different dimensions: the matching relationship between equipment and task, the effective role of equipment in the task, and the importance of equipment in the task. The combined effect of these three factors constitutes the task contribution rate. The comprehensive evaluation model for the task contribution rate incorporates the correlation evaluation value. The necessity evaluation value and the importance evaluation value This comprehensive assessment reflects the overall contribution of maintenance equipment to the completion of vehicle repair tasks.

[0028] After obtaining the correlation evaluation value Necessity evaluation value Importance evaluation value Based on this, a comprehensive evaluation model for the contribution rate of maintenance equipment tasks is established, and the following formula is used to calculate the first... Repair equipment Task contribution rate : ;in, The value can be 0 or 1; The value range is [0, 1]; The value range is (0, 1]; when hour, This indicates that the repair equipment is unrelated to the task and does not contribute to the task; when hour, It is determined by both necessity and importance.

[0029] It should be explained that in the comprehensive evaluation model of task contribution rate, the first... Repair equipment The aforementioned task contribution rate Based on the correlation evaluation value The necessity evaluation value and the importance evaluation value The correlation evaluation value is obtained by multiplying the three values. The value is either 0 or 1, serving as the primary criterion for determining the task contribution rate. This applies when the professional and category attributes of the repair equipment align with the comprehensiveness requirements matrix for task completion. When the required value at the corresponding position in the middle does not match, The value is 0, at this time A direct reset to zero indicates that the repair equipment is irrelevant to the current task, has no contribution to the task, and is excluded from subsequent selection considerations; when When the value is 1, the task contribution rate Based on the aforementioned necessity evaluation value and the importance evaluation value Jointly decided; the aforementioned necessity evaluation value The value ranges from 0 to 1, reflecting the effectiveness of the maintenance equipment in completing the task; the importance evaluation value The value range is greater than 0 and does not exceed 1, reflecting the importance of the maintenance equipment in the task. The technical significance of constructing the comprehensive evaluation model of the task contribution rate using a multiplicative form is that the three independent factor indicators of relevance, necessity, and importance have a progressive relationship. When the evaluation value of any factor indicator is low, the task contribution rate is low. All of them will be weakened to a corresponding degree.

[0030] The preset candidate set of maintenance equipment is a collection of existing maintenance equipment at field repair bases. The selected maintenance equipment set is as follows , for A subset of, the Repair equipment satisfy ; The objective function aims to minimize the total number of selected devices. The objective function is: ,in Selecting equipment for maintenance The number of elements in; Using the task contribution rate as a constraint, specifically for the selected and equipped [task type]... Repair equipment Task contribution rate index value Must meet , ,in The contribution rate of the i-th maintenance equipment to the task. The preset equipment task contribution rate index reference standard threshold; The constraints also include at least one of the following: selecting the equipped first Repair equipment Commonly used performance index values Must meet , ,in Preset reference thresholds for commonly used equipment indicators; utility characteristic index values. Must meet , ,in The preset device utility characteristic index reference standard threshold; portability index value Must meet , ,in The preset equipment portability index reference standard threshold; quality status attribute value. Must meet , ,in This indicates that the item is in good working order and is in a usable condition. ;in This is a set of quality states, including the new product ready-to-use state. In good working order Status: Awaiting repair and scrapped status .

[0031] It should be noted that the preset candidate set of maintenance equipment is a collection of existing maintenance equipment at the field repair base. The existing maintenance equipment at the field repair base is summarized in the collection. The equipment ledger, sourced from vehicle repair shops, records the equipment codes, names, models, specifications, specialties, categories, and storage locations of all currently registered repair equipment at the field repair base; the equipment selection set... To compile a collection of existing repair equipment from the aforementioned field repair base The subset determined after optimization and screening, the first Repair equipment satisfy That is, the selected maintenance equipment is all derived from the existing maintenance equipment collection of the field repair base; the objective function The optimization objective is to minimize the total number of selected devices. Selected set for the maintenance equipment The number of elements in the data; in the task contribution rate constraint, the preset device task contribution rate index reference standard threshold. The determination method is as follows: statistically analyze similar field vehicle repair tasks successfully completed by the vehicle repair organization in the past, calculate the task contribution rate distribution of the repair equipment actually carried and used in each case, and use the lower boundary of the high probability interval as the reference standard threshold for the equipment task contribution rate index, for example... The value is set to 0.2; in the commonly used constraints, the value of the equipment's commonly used index is... The frequency of equipment usage in the historical outbound records of the maintenance equipment management system is derived from the preset equipment common use index reference standard threshold. The determination method is to statistically analyze the historical usage frequency distribution of all maintenance equipment at the field repair base, and use the lower quantile value covering the range of commonly used equipment as the reference standard threshold for the equipment's versatility index. For example... Take 10; in the utility characteristic constraint, the equipment utility characteristic index value The ratio of the cumulative effective working time of the equipment recorded in the maintenance equipment management system to the rated life of the equipment is used as the reference standard threshold for the preset equipment utility characteristic index. The determination method is as follows: statistically analyze the distribution of utility characteristics of all repair equipment at the field repair base, and use the quantile value of the utility characteristic index that is higher than the interval of equipment to be eliminated as the reference standard threshold for the equipment utility characteristic index. For example... The value is set to 0.5; in the portability constraint, the device portability index value is... The score is derived from the normalized processing of equipment volume and weight parameters recorded in the technical file of the maintenance equipment, and the preset equipment portability index reference standard threshold. The determination method is as follows: based on the portability requirements of field missions, the lower limit quantile of the corresponding level in the portability rating scale is selected as the reference standard threshold for the equipment portability index. For example... The value is set to 0.8; in the quality state integrity constraint, the quality state attribute value is... The "good and usable" status is derived from the most recent equipment inspection and maintenance records in the aforementioned equipment management system. Set of quality states One of the state values ​​in the mass state set Includes new product ready-to-use status In good working order Status: Awaiting repair and scrapped status The current quality status of the equipment under repair is determined based on the equipment integrity inspection standards.

[0032] When the vehicle maintenance task type is on-site level repair, the equipment selection scheme is obtained by solving the problem. Subsequently, based on the vehicle model and repair level, the set of standard required equipment corresponding to the on-site repair task is retrieved from the preset maintenance standard and specification database. And a standard association weight matrix describing the degree of association between each maintenance equipment and each standard maintenance procedure. The standard required equipment set Includes all maintenance equipment that is required by vehicle maintenance technical standards; The standard required equipment set Equipment selection scheme Perform a difference operation to obtain the set of mandatory devices that were not selected, which will be used as the set of missing candidate devices. , represented as ; For the above Each device in Calculate the omission risk index The calculation formula is: ,in and These are the weighting coefficients. The standard forced deviation value represents the equipment. In the standard required equipment set The set degree of coercion is quantified into a score. This represents the model's omitted bias value; Output a document containing the above Each device in the list and its corresponding omission risk index The report on the risk assessment of missing equipment is provided for maintenance technicians to select equipment based on the aforementioned equipment configuration plan. The equipment selection scheme was finally reviewed and adjusted.

[0033] It should be explained that when the vehicle repair task type is on-site level repair, since on-site level repair is a timed and scheduled preventive maintenance operation performed according to vehicle repair standards, there are mandatory standard requirements for the equipment configuration. Therefore, the equipment selection scheme is obtained through solution. Afterwards, a standard compliance review is required; the preset maintenance standard specification database comes from a structured database established by vehicle repair institutions based on vehicle grade repair technical standards. The database stores the corresponding standard mandatory equipment sets according to vehicle model and repair grade. Correlation weight matrix with standard The standard required equipment set It includes all repair equipment that is mandatory according to vehicle repair technical standards, and each piece of equipment is labeled with its corresponding standard repair procedure; the standard association weight matrix is ​​mentioned above. The data, derived from historical on-site repair procedures and equipment usage correspondence records in the aforementioned maintenance standard and specification database, is used to construct a matrix by statistically analyzing the actual number of times each repair equipment is used in different standard repair procedures, the degree of procedure dependence, and the difficulty of substitution. The weight values ​​of the matrix elements between repair equipment and standard repair procedures are determined comprehensively based on the frequency of the equipment's participation in the corresponding standard repair procedure, its criticality to the completion of the procedure, and the ease with which it can be replaced by other equipment. The higher the frequency of the equipment's participation in the corresponding standard repair procedure, the higher its criticality, and the more difficult it is to be replaced, the higher its corresponding association weight value. The set of standard mandatory equipment is then included. Equipment selection scheme Perform a difference operation to obtain the set of devices that are within the standard mandatory configuration range but were not selected by the optimization model, which serves as the set of omitted candidate devices. For the aforementioned set of omitted candidate devices Each device in Calculate the omission risk index The omission risk index The standard forced deviation value And the model omission deviation value The standard forced deviation value is obtained by weighted summation. The determination method is as follows: based on the mandatory labeling and grading provisions for various equipment in the maintenance technical standards, the mandatory level is converted into a quantitative score, which serves as the standard mandatory deviation value; the model omission deviation value The weighting coefficient is used to measure the degree of missing process coverage that may result from the optimization model not selecting the aforementioned equipment. and The determination method is based on historical on-site level repair task case data, using historical records of missed equipment causing missing repair procedures as a reference, and employing regression analysis to... and The contribution weights are calibrated, and the optimal combination of calibrated coefficients is used as the weight coefficients; the output includes the set of omitted candidate devices. Each device in the list and its corresponding omission risk index A risk assessment report for the missing equipment is provided, and the assessment report is used by maintenance technicians to select appropriate equipment. Final manual review and adjustment will be conducted.

[0034] The model omitted deviation value The calculation method is as follows: ;in, Indicates equipment selection scheme The total number of devices in the system. Based on the standard correlation weight matrix Calculated missing candidate devices Equipment already selected in the equipment selection scheme The degree of functional correlation between the two processes is determined using a normalized correlation coefficient, reflecting the closeness of the functional correlation between the two pieces of equipment in standard maintenance procedures; when and When all equipment is highly interconnected in a standard process, Approaching n, A value close to 0 indicates a low risk of omission; when and When the equipment in the process has low correlation in the standard procedure, Low, A value close to 1 indicates a high risk of omission.

[0035] It should be noted that the model omitted bias values. Used to measure the set of missing candidate devices equipment in Because it was not selected in the equipment selection scheme The potential risk of functional loss in the process; in the calculation formula, Indicates the equipment selection scheme The total number of devices n in the system Based on the standard correlation weight matrix The calculated missing candidate device Equipment selection scheme Selected equipment The degree of functional correlation between processes; the degree of functional correlation between processes The specific calculation method is as follows: from the standard correlation weight matrix Extraction equipment corresponding row vector and equipment corresponding row vector Each element in the row vector represents the association weight value between the device and a standard maintenance procedure; the Pearson correlation coefficient between two row vectors is calculated using the following formula: ,in For vectors and covariance, and They are vectors and The standard deviation of the standard deviation; when the weight distribution trends of the two row vectors are consistent across the process dimensions, the Pearson correlation coefficient approaches 1, indicating that the two devices are highly functionally correlated in the standard maintenance process; when the weight distribution trends of the two row vectors differ significantly, the Pearson correlation coefficient approaches 0 or is negative, indicating that the two devices are not functionally correlated in the standard maintenance process; the calculated correlation coefficient is normalized to the [0, 1] interval and then used as the functional correlation of the process. The value of ; in the formula, Indicates the missing candidate device Equipment selection scheme The average process function correlation among all selected equipment; when and When all equipment in the standard maintenance procedure is highly correlated, the average procedure functional correlation degree approaches 1. A value close to 0 indicates the equipment selection scheme. The selected devices in the list can effectively cover any missed candidate devices. Standard process functional requirements, low risk of omission; when and When the equipment in a standard process has low correlation, the average process functional correlation is low. A value close to 1 indicates the equipment selection scheme. The selected equipment is unlikely to replace or cover the overlooked candidate equipment. The function has a high risk of being overlooked.

[0036] The above embodiments are provided for those skilled in the art to implement or use the present invention. Those skilled in the art can make various modifications or changes to the above embodiments without departing from the inventive concept of the present invention. Therefore, the protection scope of the present invention is not limited to the above embodiments, but should be the maximum scope that conforms to the innovative features mentioned in the claims.

Claims

1. A method for optimizing the selection and allocation of maintenance equipment based on task contribution rate, characterized in that, Includes the following steps: S1: Analyze vehicle maintenance tasks under field conditions and identify the types of vehicle maintenance tasks; S2: Based on the vehicle maintenance task type, and the corresponding task's professional requirements for equipment and the task's category requirements for equipment, construct a maintenance task state vector, and establish a task completion comprehensiveness requirement matrix based on the maintenance task state vector; S3: Construct a comprehensive evaluation model for the task contribution rate of maintenance equipment. The comprehensive evaluation model for the task contribution rate is constructed based on three independent factor indicators: the relevance, necessity, and importance of maintenance equipment to the task. The aforementioned task is used to complete a comprehensive requirements matrix evaluation of the relevance. S4: Select a set of maintenance equipment from the preset candidate set of maintenance equipment, take the set of maintenance equipment as the decision variable, take the minimum total number of selected equipment as the objective function, take the task contribution rate as the constraint, establish a mathematical model for the optimal selection of maintenance equipment based on the task contribution rate, and solve to obtain the equipment selection scheme. S5: When the vehicle maintenance task type is on-site level repair, retrieve the set of standard required equipment from the preset maintenance standard specifications, compare it with the equipment selection scheme, calculate the omission risk index of the unselected equipment, output the omission equipment risk assessment report, and the maintenance personnel review the equipment selection scheme.

2. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 1, characterized in that, The analysis of vehicle maintenance tasks under field conditions clarifies the types of vehicle maintenance tasks, including: analyzing various vehicle maintenance tasks of vehicle maintenance organizations under field conditions based on the content, time, personnel, and related support of each maintenance task, and classifying the types of vehicle maintenance tasks under field conditions into four categories: patrol and repair, emergency repair, accompanying repair, and on-site level repair.

3. The method for optimizing maintenance equipment selection based on task contribution rate according to claim 1, characterized in that, The construction of the maintenance task state vector includes: defining the maintenance task state vector. ,in, This indicates the value of the maintenance task type attribute. This indicates the attribute value representing the equipment's professional requirements for the maintenance task. This indicates the attribute value required by the maintenance task for the equipment category; The It has 4 state values, and the corresponding set of field vehicle repair task types is as follows: ;in This indicates inspection and maintenance. This indicates that emergency rescue and repairs are underway. Indicates that repairs are being carried out. Indicates on-site repair level; The It has 5 status values, and the corresponding set of professional attributes for the maintenance equipment is as follows: ;in This indicates expertise in chassis design. Indicates machining profession. Indicates control engineering. Indicates telecommunications major. Indicates electrical engineering major; The It has 6 status values, and the corresponding set of maintenance equipment category attributes is as follows: ;in This refers to tools and measuring instruments. This refers to support or stand-type equipment. This refers to testing and calibration equipment. Indicates mechanical processing equipment, Indicates facilities and equipment. Indicates other devices.

4. The method for optimizing maintenance equipment selection based on task contribution rate according to claim 1, characterized in that, The step of establishing a comprehensive requirement matrix for task completion based on the maintenance task state vector includes: using the equipment professional requirement attribute values ​​of the maintenance task. and the equipment category requirement attribute values ​​for the maintenance task. Considering the matching of task requirements with maintenance equipment specialties and equipment types, a comprehensive requirement matrix for task completion is established. ,in To meet the professional needs for equipment maintenance, The required quantity for each type of maintenance equipment; when When a vehicle repair shop needs to perform a repair task in the field, it indicates that the repair shop needs to... The first of the majors Types of maintenance equipment; when When, it means that the first one is not needed. The first of the majors Types of maintenance equipment, , .

5. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 1, characterized in that, The aforementioned construction of a comprehensive evaluation model for the task contribution rate of maintenance equipment is based on three independent factor indicators: the relevance, necessity, and importance of the maintenance equipment to the task. This includes: for relevance evaluation, obtaining the first... Repair equipment Professional attribute value and category attribute values The professional attribute value and category attribute values The comprehensive requirements matrix for completing the task. By comparing the equipment and the task, a correlation evaluation value is obtained. When the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When the required values ​​for the corresponding positions are all 1, For relevance; when the professional attribute value and category attribute value are in the task completion comprehensiveness requirement matrix When at least one of the required values ​​at the corresponding position is not 1, Unrelated; For necessity evaluation, obtain the first [item] to be evaluated. Repair equipment Component validity attribute value and function attribute values Calculate the necessity evaluation value : ;in, A collection of problematic parts encountered during vehicle repair tasks. A collection of equipment functions required to solve problems in vehicle repair tasks. To be a function that takes the number of elements in a set. The range of values ​​is .

6. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 1, characterized in that, The aforementioned comprehensive evaluation model for the task contribution rate of maintenance equipment is constructed based on three independent factor indicators: the relevance, necessity, and importance of maintenance equipment to the task. This includes: for the importance evaluation, considering the comprehensiveness of the task completion requirement matrix... Based on this, and considering the importance weights of various professional needs and different types of needs, a task completion importance evaluation matrix is ​​established. ,in Indicates the first The first of the majors The importance of this type of equipment requirement in this mission; when hour, ;when hour, ; For the Repair equipment Based on professional attribute values and category attribute values From the task completion importance evaluation matrix Extract the importance evaluation value of the corresponding position , is represented as: ;in, This represents the first item in the set of professional attributes of maintenance equipment. Each professional status value Represents the first in the set of attributes for maintenance equipment categories The device status values ​​are used respectively in the task completion importance evaluation matrix. The row position corresponding to the specialty and the column position corresponding to the category of the positioning and maintenance equipment are determined; the correlation evaluation value is obtained after this. Necessity evaluation value Importance evaluation value Then, considering the independence and decoupling of the three factors and their combined effect to constitute the task contribution rate, a comprehensive evaluation model for the task contribution rate of maintenance equipment is established.

7. The method for optimizing maintenance equipment selection based on task contribution rate according to claim 6, characterized in that, The process considers the independence and decoupling of the three factors, as well as their combined effect to constitute the task contribution rate, and establishes a comprehensive evaluation model for the task contribution rate of maintenance equipment. This includes: obtaining the correlation evaluation value... Necessity evaluation value Importance evaluation value Based on this, a comprehensive evaluation model for the contribution rate of maintenance equipment tasks is established, and the following formula is used to calculate the first... Repair equipment Task contribution rate : ;in, The value can be 0 or 1; The value range is [0, 1]; The value range is (0, 1]; when hour, This indicates that the repair equipment is unrelated to the task and does not contribute to the task; when hour, It is determined by both necessity and importance.

8. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 1, characterized in that, The establishment of a mathematical model for optimizing the selection of maintenance equipment based on task contribution rate includes: the preset candidate set of maintenance equipment is a summary set of existing maintenance equipment at the field repair base. The selected maintenance equipment set is as follows , for A subset of, the Repair equipment satisfy ; The objective function aims to minimize the total number of selected devices. The objective function is: ,in Selecting equipment for maintenance The number of elements in; Using the task contribution rate as a constraint, specifically for the selected and equipped [task type]... Repair equipment Task contribution rate index value Must meet , ,in The contribution rate of the i-th maintenance equipment to the task. The preset equipment task contribution rate index reference standard threshold; The constraints also include at least one of the following: selecting the equipped first Commonly used indicator values ​​for maintenance equipment Must meet , ,in Preset reference thresholds for commonly used equipment indicators; utility characteristic index values. Must meet , ,in The preset device utility characteristic index reference standard threshold; portability index value Must meet , ,in The preset equipment portability index reference standard threshold; quality status attribute value. Must meet , ,in This indicates that the item is in good working order and is in a usable condition. ;in This is a set of quality states, including the new product ready-to-use state. In good working order Status: Awaiting repair and scrapped status .

9. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 1, characterized in that, When the vehicle repair task type is on-site level repair, the standard mandatory equipment set is retrieved from the preset repair standard specifications and compared with the equipment selection scheme. The omission risk index of unselected equipment is calculated, and an omission equipment risk assessment report is output. Repair personnel then review the equipment selection scheme, including: when the vehicle repair task type is on-site level repair, after solving for the equipment selection scheme... Subsequently, based on the vehicle model and repair level, the set of standard required equipment corresponding to the on-site repair task is retrieved from the preset maintenance standard and specification database. And a standard association weight matrix describing the degree of association between each maintenance equipment and each standard maintenance procedure. The standard required equipment set Includes all maintenance equipment that is required by vehicle maintenance technical standards; The standard required equipment set Equipment selection scheme Perform a difference operation to obtain the set of mandatory devices that were not selected, which will be used as the set of missing candidate devices. , represented as ; For the above Each device in Calculate the omission risk index The calculation formula is: ,in and These are the weighting coefficients. The standard forced deviation value represents the equipment. In the standard required equipment set The set degree of coercion is quantified into a score. This represents the model's missing bias value; Output a document containing the above Each device in the list and its corresponding omission risk index The report on the risk assessment of missing equipment is provided for maintenance technicians to select equipment based on the aforementioned equipment configuration plan. The equipment selection scheme was finally reviewed and adjusted.

10. The method for optimizing the selection and allocation of maintenance equipment based on task contribution rate according to claim 9, characterized in that, The model omission bias value includes: the model omission bias value The calculation method is as follows: ;in, Indicates equipment selection scheme The total number of devices in the system. Based on the standard correlation weight matrix Calculated missing candidate devices Equipment already selected in the equipment selection scheme The functional correlation between the two processes is determined using a normalized correlation coefficient, reflecting the degree of functional correlation between the two pieces of equipment in standard maintenance procedures; when and When all equipment is highly interconnected in a standard process, Approaching n, A value close to 0 indicates a low risk of omission; when and When the equipment in the process has low correlation in the standard procedure, Low, A value close to 1 indicates a high risk of omission.

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