Competency-based maintenance task allocation method, device, equipment and medium

Abstract

The present invention discloses a method, device, equipment and medium for allocating maintenance tasks based on competency, and relates to the field of aircraft maintenance technology. The maintenance information of a maintenance work card to be allocated is input; based on the target maintenance position and the target maintenance personnel level in the maintenance information, candidate maintenance personnel are screened out and a target competency assessment model is retrieved, the model including assessment dimensions, assessment elements, assessment dimension weights and assessment element weights; based on the assessment elements, several assessment scores of candidate maintenance personnel are retrieved; the assessment scores are weighted and summed using the assessment dimension weights and the assessment element weights to obtain competency scores; the information of the candidate maintenance personnel with the highest competency score is sent to a user terminal to allocate the maintenance work card to the corresponding maintenance personnel. The present invention automatically realizes the allocation of maintenance work cards through a computer, thereby improving the allocation efficiency of maintenance work cards and the adaptability of maintenance personnel to the maintenance tasks to be allocated.

Description

Technical Field

[0001] The present invention relates to the technical field of aircraft maintenance, and in particular to a method, device, equipment and medium for allocating aircraft maintenance tasks based on competency. Background Art

[0002] In the field of civil aviation, there are many complex maintenance tasks to be performed every day, but the existing maintenance task allocation is mainly done manually, for example, by business supervisors. When assigning maintenance tasks, business supervisors mainly decide whether to assign maintenance tasks to corresponding maintenance personnel based on whether the maintenance personnel have performed the same or similar tasks, and whether the shift time and task time conflict. However, when the number of maintenance tasks is very large, the manual allocation method is too inefficient and cannot guarantee the timeliness of aircraft maintenance. Sometimes it even causes flight delays, which has a very bad impact. Furthermore, manual matching relies too much on the subjective judgment of supervisors and cannot guarantee the compatibility of maintenance tasks and maintenance personnel, thus burying hidden dangers for aircraft maintenance quality and flight safety. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a method, device, equipment and medium for allocating maintenance tasks based on competency, which can automatically realize the accurate allocation of maintenance work cards through a computer program, greatly improve the allocation efficiency of maintenance work cards, ensure the timeliness of aircraft maintenance, and improve the adaptability of maintenance personnel to the maintenance tasks to be allocated, thereby ensuring the maintenance quality.

[0004] To achieve the above object, an embodiment of the present invention provides a method for allocating maintenance tasks based on competency, comprising:

[0005] Enter the maintenance information of the maintenance worker card to be assigned; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade;

[0006] Based on the target maintenance position and the target maintenance personnel level, a target competency assessment model is retrieved from a model database; wherein the target competency assessment model includes a plurality of assessment dimensions, a plurality of assessment elements under each of the assessment dimensions, a weight of each assessment dimension, and a weight of each assessment element;

[0007] Screening out maintenance personnel whose grades in the target maintenance positions are the same as the target maintenance personnel grades as candidate maintenance personnel;

[0008] Based on the evaluation factors, obtaining several evaluation scores of the candidate maintenance personnel;

[0009] The evaluation results are weighted and summed using the evaluation dimension weights and the evaluation factor weights to obtain the competency score of each candidate maintenance personnel;

[0010] The candidate maintenance personnel with the highest competency score is selected as the target maintenance personnel, and the information of the target maintenance personnel is sent to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

[0011] As an improvement of the above solution, the model database includes competency assessment models corresponding to different types of maintenance personnel, wherein the types of maintenance personnel are divided according to maintenance positions and maintenance personnel grades, and the competency assessment model is pre-constructed in the following manner:

[0012] Inputting historical scoring information about different types of maintenance personnel; wherein the historical scoring information is used to characterize the importance of different evaluation factors in evaluating the competence of different types of maintenance personnel;

[0013] Calculate the minimum value, maximum value, average value and standard deviation of each evaluation factor in the historical scoring information;

[0014] Performing variance homogeneity analysis on the same evaluation factor in different historical scoring information;

[0015] When the variance homogeneity analysis of each evaluation factor meets the preset requirements, the evaluation factor whose standard deviation is less than the preset standard deviation threshold, whose minimum value is greater than the preset minimum value threshold, or / and whose average value is greater than the preset average value threshold is taken as the target evaluation factor;

[0016] Taking the evaluation dimension to which the target evaluation element belongs as the target evaluation dimension;

[0017] Calculate the weights of each target evaluation dimension and each target evaluation element to obtain the evaluation dimension weight and the evaluation element weight;

[0018] The target assessment dimensions, the target assessment elements, the assessment dimension weights and the assessment element weights are summarized to obtain a competency assessment model.

[0019] As an improvement of the above solution, the weight of the target evaluation dimension or the weight of the target evaluation element is calculated in the following way:

[0020] Input a plurality of fuzzy judgment matrices; wherein the elements of the fuzzy judgment matrices are used to characterize the relative importance of different evaluation indicators to be evaluated, and the evaluation indicators to be evaluated are the target evaluation dimensions or the target evaluation elements;

[0021] Calculating the initial weight of each indicator to be evaluated based on the elements of each fuzzy judgment matrix, the total number of the evaluation indicators to be evaluated and the difference degree index;

[0022] The average value of the initial weights of each of the indicators to be evaluated is calculated as the weight of each of the indicators to be evaluated.

[0023] As an improvement of the above scheme, the initial weight of the indicator to be evaluated is calculated by the following formula:

[0024]

[0025] Among them, w i represents the initial weight of the i-th indicator to be evaluated; n represents the total number of evaluation indicators to be evaluated; a represents the difference degree index; r ik Represents the element in the i-th row and k-th column of the fuzzy judgment matrix.

[0026] As an improvement of the above solution, the evaluation factors include several evaluation factors under three evaluation dimensions, wherein:

[0027] The evaluation dimensions include rules and procedures, operational skills and decision-making ability;

[0028] The assessment elements under the said regulations and procedures include operation specifications I, operation specifications II, operation specifications III, management system I, management system II, management system III and safety work knowledge;

[0029] The evaluation elements under the said operation skills include electrostatic protection, sealing construction, insurance construction, use of tools and measuring tools, pipeline construction, transmission construction, use of special professional equipment, marking construction I, marking construction II, comprehensive disassembly and assembly of components I, comprehensive disassembly and assembly of components II, disassembly and assembly of fasteners, patch production and installation and damage removal;

[0030] The evaluation factors under the decision-making capability include manual query I, manual query II, inspection capability, system testing, troubleshooting capability I, troubleshooting capability II and emergency response.

[0031] As an improvement of the above solution, the competency assessment model includes a first-level competency assessment model, a second-level competency assessment model and a third-level competency assessment model, and the difficulty level corresponding to each competency assessment model increases one by one, and:

[0032] The target assessment dimensions of the first-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the first-level competency assessment model include operation specifications I, management system I, safety work knowledge, electrostatic protection, sealing construction, insurance construction, tool and measuring tool use, fastener disassembly and manual query I;

[0033] The target assessment dimensions of the secondary competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the secondary competency assessment model include operation specifications II, management system II, pipeline construction, transmission construction, use of special professional equipment, marking construction I, comprehensive disassembly and assembly of components I, damage removal, inspection ability, system testing and troubleshooting ability I;

[0034] The target assessment dimensions of the three-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the three-level competency assessment model include operating specifications III, management system III, marking construction II, comprehensive disassembly and assembly of components II, patch production and installation, manual query II, troubleshooting ability II and emergency response.

[0035] To achieve the above object, an embodiment of the present invention further provides a device for allocating maintenance tasks based on competency, comprising:

[0036] A maintenance worker card acquisition module is used to input maintenance information of the maintenance worker card to be allocated; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade;

[0037] An evaluation model calling module is used to call a target competency evaluation model from a model database based on the target maintenance position and the target maintenance personnel level; wherein the target competency evaluation model includes a plurality of evaluation dimensions, a plurality of evaluation elements under each of the evaluation dimensions, a weight of each evaluation dimension, and a weight of each evaluation element;

[0038] A maintenance personnel preliminary screening module is used to screen out maintenance personnel whose grades in the target maintenance positions are the same as the target maintenance personnel grades as candidate maintenance personnel;

[0039] An evaluation result acquisition module, used for retrieving a number of evaluation results of each candidate maintenance personnel based on each of the evaluation factors;

[0040] A competency scoring module, used to perform weighted summation of the evaluation results using the evaluation dimension weights and the evaluation factor weights to obtain a competency score for each candidate maintenance personnel;

[0041] The maintenance worker card issuing module is used to select the candidate maintenance personnel with the highest competency score as the target maintenance personnel, and send the information of the target maintenance personnel to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

[0042] To achieve the above objectives, an embodiment of the present invention further provides a competency-based maintenance task allocation device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the competency-based maintenance task allocation method as described in any of the above embodiments is implemented.

[0043] To achieve the above objectives, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the competency-based maintenance task allocation method as described in any of the above embodiments.

[0044] Compared with the prior art, the method, device, equipment and medium for allocating maintenance tasks based on competency provided by the embodiment of the present invention input maintenance information of a maintenance work card to be allocated; wherein the maintenance information includes a target maintenance position and a target maintenance personnel grade; based on the target maintenance position and the target maintenance personnel grade, a target competency assessment model is retrieved from a model database; wherein the target competency assessment model includes several assessment dimensions, several assessment elements under each of the assessment dimensions, weights of each assessment dimension and weights of each assessment element; a maintenance personnel whose grade on the target maintenance position is the target maintenance personnel grade is screened out as candidate maintenance personnel; based on each of the assessment elements, several assessment scores of each of the candidate maintenance personnel are retrieved; the assessment scores are weighted and summed using the assessment dimension weights and the assessment element weights to obtain the competency scores of each of the candidate maintenance personnel; the candidate maintenance personnel with the highest competency score is selected as the target maintenance personnel, and the information of the target maintenance personnel is sent to a user terminal for allocating the maintenance work card to be allocated according to the information of the target maintenance personnel. The embodiment of the present invention can automatically realize the accurate allocation of maintenance work cards through a computer program, greatly improve the allocation efficiency of maintenance work cards, ensure the timeliness of aircraft maintenance, and improve the compatibility of maintenance personnel with maintenance tasks to be allocated, thereby ensuring the maintenance quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a method for allocating maintenance tasks based on competency provided by one embodiment of the present invention;

[0046] Figure 2 This is a schematic diagram of job responsibilities of different maintenance positions and different maintenance personnel grades provided by an embodiment of the present invention;

[0047] Figure 3 is a schematic diagram of evaluation factors provided by an embodiment of the present invention;

[0048] Figure 4 yes Figure 3 A continuation of the assessment elements shown;

[0049] Figure 5 The questionnaire statistics of P2-level maintenance personnel provided in one embodiment of the present invention are as follows;

[0050] Figure 6 The questionnaire statistics of P3-level maintenance personnel provided in one embodiment of the present invention are as follows;

[0051] Figure 7 The questionnaire statistics of P4-level maintenance personnel provided in one embodiment of the present invention are as follows;

[0052] Figure 8 is a variance homogeneity analysis result provided by an embodiment of the present invention;

[0053] Fig. 9 is a schematic diagram of a first-level competency assessment model provided by an embodiment of the present invention;

[0054] Fig.10 is a schematic diagram of a secondary competency assessment model provided by an embodiment of the present invention;

[0055] Fig.11 is a schematic diagram of a three-level competency assessment model provided by an embodiment of the present invention;

[0056] Fig.12 It is a structural schematic diagram of a competency-based maintenance task allocation device provided by an embodiment of the present invention;

[0057] Fig.13 The present invention is a schematic diagram of the structure of a competency-based maintenance task allocation device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0060] See also Figure 1 , is a flow chart of a method for allocating maintenance tasks based on competency provided by an embodiment of the present invention, comprising steps S1 to S6:

[0061] S1. Enter the maintenance information of the maintenance worker card to be assigned; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade;

[0062] S2. Based on the target maintenance position and the target maintenance personnel level, retrieve a target competency assessment model from a model database; wherein the target competency assessment model includes a plurality of assessment dimensions, a plurality of assessment elements under each of the assessment dimensions, a weight of each assessment dimension, and a weight of each assessment element;

[0063] S3, selecting maintenance personnel whose grade in the target maintenance post is the same as the target maintenance personnel grade as candidate maintenance personnel;

[0064] S4. Based on the evaluation factors, retrieve several evaluation scores of the candidate maintenance personnel;

[0065] S5. Performing a weighted summation of the evaluation results using the evaluation dimension weights and the evaluation factor weights to obtain a competency score for each candidate maintenance personnel;

[0066] S6. Select the candidate maintenance personnel with the highest competency score as the target maintenance personnel, and send the information of the target maintenance personnel to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

[0067] In step S1, illustratively, some airlines will divide maintenance personnel into different levels in each maintenance position according to their work ability. For example, the maintenance personnel levels of a certain airline include seven levels, "P1~P7", among which P2 means "familiar with the work process and basic operating specifications, and able to complete the basic work assigned by superiors", P3 means "able to independently complete various business tasks and have the ability to solve problems independently", P4 means "able to lead the team to complete related business tasks, able to guide team members to complete major troubleshooting work, have decision-making ability, and have correct expectations for the development direction of this field of maintenance work", P1 represents newly hired employees, and P5 and above represent expert talents.

[0068] Furthermore, maintenance positions (specialties) include line maintenance, scheduled maintenance, structural repair, quality inspection, quality testing, self-made parts processing and component repair. Figure 2 , is a schematic diagram of the job responsibilities of different maintenance positions and different maintenance personnel levels of a certain airline provided by an embodiment of the present invention, wherein: Figure 2Only P2 to P4 levels are shown, and "professional" is equivalent to "maintenance position" and "rank" is equivalent to "maintenance personnel level".

[0069] It is worth noting that, although the industry will also conduct business assessments on maintenance personnel regularly, it is only a single-dimensional upgrade test. For example, it only assesses the maintenance personnel's mastery of operating specifications. Moreover, the existing technology adopts the same assessment method for maintenance personnel of different maintenance positions and different levels, which makes it impossible to objectively evaluate the competence of maintenance personnel of different maintenance positions and different levels for different maintenance tasks, and has no reference significance for the allocation of maintenance tasks. Therefore, in an embodiment of the present invention, maintenance personnel are divided into different types based on maintenance positions and maintenance personnel levels in advance, and corresponding competence assessment models are established for maintenance personnel of different types to form a model database. Then, in step S2, the target competence assessment model is called based on the target maintenance position and the target maintenance personnel level, wherein each competence assessment model includes a number of assessment dimensions, a number of assessment elements under each assessment dimension, weights of each assessment dimension, and weights of each assessment element. Exemplarily, the competency assessment model for P2-level maintenance personnel in line maintenance positions includes three assessment dimensions, namely rules and procedures, operational skills, and decision-making ability, as well as 11 assessment elements, namely operating specifications II, management system II, pipeline construction, transmission construction, use of special professional equipment, marking construction I, comprehensive disassembly and assembly of components I, damage removal, inspection ability, system testing, and troubleshooting ability I, as well as three assessment dimension weights and eleven assessment element weights.

[0070] Further, in step S3, candidate maintenance personnel are selected based on the target maintenance position and the target maintenance personnel grade. It is worth noting that in some embodiments, the selection of candidate maintenance personnel may not be limited to the two indicators of "target maintenance position" and "target maintenance personnel". For example, the maintenance time in the maintenance information and the current scheduling time of each maintenance personnel may be matched to select maintenance personnel whose scheduling time does not conflict with the maintenance time and whose maintenance position and maintenance personnel grade meet the requirements as candidate maintenance personnel.

[0071] Further, in step S4, the assessment results are obtained according to the assessment factors. For example, in the above example, it is necessary to obtain eleven assessment results, including operation specification II, management system II, pipeline construction, transmission construction, use of special professional equipment, marking construction I, comprehensive disassembly and assembly of components I, damage removal, inspection capability, system testing and troubleshooting capability I. Further, in step S5, the assessment dimension weight can be first multiplied by the weight of each assessment factor under the dimension to obtain the final weight of each assessment factor, and then the final weight is used to weight the sum of each assessment result to obtain the competency score of each candidate maintenance personnel; or, in step S5, each assessment result can be weighted and summed using the weight of each assessment factor under each assessment dimension to obtain the score of each assessment dimension, and then the weight of the assessment dimension is used to weight the sum of the scores of each assessment dimension to obtain the competency score. Further, in step S6, the information of the candidate maintenance personnel (target maintenance personnel) with the highest competency score is sent to the user terminal, wherein the user terminal can be understood as the terminal device used by the business supervisor, and by sending the calculated information of the maintenance personnel that best matches the maintenance work card to be maintained to the user terminal, the business supervisor can be assisted to quickly and accurately implement the allocation of the maintenance work card. Exemplarily, in some embodiments, a competency threshold can also be set. When the competency score of the target maintenance personnel is lower than the competency threshold, it indicates that the current candidate maintenance personnel do not match the maintenance work card to be allocated, and an alarm message is sent to the user terminal.

[0072] Compared with the prior art, after obtaining the maintenance worker card to be assigned, the embodiment of the present invention first preliminarily screens out candidate maintenance personnel based on the target maintenance position and target maintenance personnel grade among the maintenance workers and calls the target competency assessment model, then uses the target competency assessment model to calculate the competency score of each candidate maintenance personnel for the maintenance task, and uses the candidate maintenance personnel with the highest competency score as the target maintenance personnel who performs the maintenance task to be assigned. The accurate allocation of maintenance worker cards can be automatically realized through a computer program, which greatly improves the allocation efficiency of maintenance worker cards, ensures the timeliness of aircraft maintenance, improves the adaptability of maintenance personnel to the maintenance tasks to be assigned, and ensures the maintenance quality.

[0073] As one optional implementation, the model database includes competency assessment models corresponding to different types of maintenance personnel, wherein the types of maintenance personnel are divided according to maintenance positions and maintenance personnel grades, and the competency assessment model is pre-constructed in the following manner:

[0074] S01. Inputting historical scoring information about different types of maintenance personnel; wherein the historical scoring information is used to characterize the importance of different evaluation factors in evaluating the competence of different types of maintenance personnel;

[0075] S02, calculating the minimum value, maximum value, average value and standard deviation of each evaluation factor in the historical scoring information;

[0076] S03, performing variance homogeneity analysis on the same evaluation factor in different historical scoring information;

[0077] S04. When the variance homogeneity analysis of each evaluation factor meets the preset requirements, the evaluation factor whose standard deviation is less than the preset standard deviation threshold, whose minimum value is greater than the preset minimum value threshold, or / and whose average value is greater than the preset average value threshold is taken as the target evaluation factor;

[0078] S05, taking the evaluation dimension to which the target evaluation element belongs as the target evaluation dimension;

[0079] S06, calculating the weights of each of the target evaluation dimensions and each of the target evaluation elements to obtain evaluation dimension weights and evaluation element weights;

[0080] S07. Summarize the target assessment dimensions, the target assessment elements, the assessment dimension weights, and the assessment element weights to obtain a competency assessment model.

[0081] Exemplarily, the historical scoring information in step S01 can be collected from different experts through a questionnaire. Therefore, before step S01, a questionnaire needs to be set up to collect the selection and emphasis of different experts on the competency assessment elements of different types of maintenance personnel.

[0082] As an optional implementation manner, the evaluation factors include several evaluation factors under three evaluation dimensions, wherein:

[0083] The evaluation dimensions include rules and procedures, operational skills and decision-making ability;

[0084] The assessment elements under the said regulations and procedures include operation specifications I, operation specifications II, operation specifications III, management system I, management system II, management system III and safety work knowledge;

[0085] The evaluation elements under the said operation skills include electrostatic protection, sealing construction, insurance construction, use of tools and measuring tools, pipeline construction, transmission construction, use of special professional equipment, marking construction I, marking construction II, comprehensive disassembly and assembly of components I, comprehensive disassembly and assembly of components II, disassembly and assembly of fasteners, patch production and installation and damage removal;

[0086] The evaluation factors under the decision-making capability include manual query I, manual query II, inspection capability, system testing, troubleshooting capability I, troubleshooting capability II and emergency response.

[0087] See also Figure 3 and Figure 4, is a schematic diagram of evaluation factors provided by an embodiment of the present invention (where Figure 4 yes Figure 3 Continuation of Table ), where Figure 3 The AMM (Aircraft Maintenance Manual) is the aircraft maintenance manual; the IPC (Illustrated Parts Catalog) is the illustrated parts catalog; the MEL (Minimum Equipment List) is the minimum equipment list; and the TSM (Trouble Shooting Manual) is the troubleshooting manual. Figure 3 and Figure 4 It can be seen that there are three evaluation dimensions, namely, rules and procedures, operational skills and decision-making ability, and the number of evaluation factors under each evaluation dimension is 7, 14 and 14 respectively. It is worth noting that Figure 3 and Figure 4 In the evaluation, some "evaluation factors" (including operation specifications, management system, manual query, troubleshooting capability, marking construction, and comprehensive disassembly and assembly of components) are subdivided into different levels (I, II, and III). Then, the "evaluation factors" described in the embodiments of the present invention are all subdivided evaluation factors. For example, Figure 3 It can be seen that, according to the different regulations required to be mastered, "operation specifications" are subdivided into operation specifications I, operation specifications II and operation specifications III. Therefore, "operation specifications I", "operation specifications II" and "operation specifications III" are the evaluation factors described in the embodiment of the present invention, and "operation specifications" can also be understood as a major category of evaluation factors. It is worth noting that each questionnaire contains the above 28 evaluation factors. Furthermore, the maintenance personnel are divided into different types based on maintenance positions and maintenance personnel grades. Each expert needs to fill out a questionnaire for each type of maintenance personnel and score the 28 evaluation factors on the questionnaire, where each scoring result is used to characterize the importance of the evaluation factor to the evaluation of this type of maintenance personnel. Exemplarily, the number of experts can be 15, and the experts are maintenance personnel with more than 20 years of work experience and a grade of P4.2 or above.

[0088] Furthermore, in step S02, after obtaining the questionnaire scoring results (historical scoring information) of different experts on a certain type of maintenance personnel, it is necessary to collect statistics on the scoring results of each type of maintenance personnel, including calculating the minimum value, maximum value, average value and standard deviation of each evaluation factor in the historical information. Figures 5 to 7 , is the statistical result of the questionnaire survey of P2-P4 maintenance personnel provided by an embodiment of the present invention, where N represents the number of experts. Figures 5 to 7It can be seen that for different types of maintenance personnel, the evaluation factors that need to be considered in the competency assessment are different, that is, the reference significance of different evaluation factors in evaluating different types of maintenance personnel is different. Figures 5 to 7 It can be seen that each level has basic requirements in core capabilities such as operating specifications, management systems and safety work knowledge, and as the level increases (from P2 to P4), the depth and breadth of mastering these capabilities gradually improves, and the competency standards for maintenance personnel also become more stringent and specific. In addition, the P2 level mainly focuses on basic skills, including electrostatic protection, sealing construction, insurance construction and the use of tools and measuring tools. These skills require new employees to be able to master and operate basic technologies in actual work to ensure work safety and quality; the P3 level adds requirements for complex skills on the basis of the P2 level, and the focus of operational skills shifts to pipeline construction, transmission construction, marking construction, comprehensive disassembly and assembly of components and the use of special professional equipment. This shows that P3-level maintenance personnel not only need to have basic operational capabilities, but also need to master higher professional skills in order to handle more complex tasks; the P4 level further deepens the operational skill requirements, especially in the comprehensive disassembly and assembly of components and marking construction. At the same time, the requirements for troubleshooting capabilities, emergency response and manual query skills are greatly improved. This shows that P4-level maintenance personnel not only need to be proficient in skills, but also have strong troubleshooting and emergency response capabilities, and are familiar with the query and application of technical manuals. Through the analysis of the competencies of maintenance personnel at different levels, it can be seen that the skill requirements of different levels vary significantly. With the increase of the level, the ability requirements gradually expand from basic operating skills to complex operations and troubleshooting skills. This is because P2-level maintenance personnel mainly undertake basic tasks, P3-level maintenance personnel gradually undertake complex tasks, and P4-level maintenance personnel need to have the ability to work independently and troubleshoot in more complex technical situations.

[0089] Furthermore, in step S03, variance homogeneity analysis is performed on the scoring results of the questionnaire to analyze the significance of the scores of the 15 experts under different types of maintenance personnel. Figure 8 , is the variance homogeneity analysis result provided by an embodiment of the present invention. Figure 7 It can be seen that the significance of all evaluation factors is greater than 0.05, which does not reach the 0.05 significance level. Therefore, there is no significant difference in the scores of experts under different types of maintenance personnel. Therefore, step S04 is further performed, that is, based on the statistical results of the questionnaire, the target evaluation factors for evaluating each type of maintenance personnel are selected. It can be understood that the evaluation dimension to which the evaluation factor belongs is the target evaluation dimension of the corresponding competency assessment model. For example, see Figure 3, when the competency assessment model includes troubleshooting capability II, the target assessment dimension of the competency assessment model includes decision-making capability. Further, in step S06, the assessment dimension weights and assessment element weights are calculated, and in step S07, the target assessment dimensions, target assessment elements, assessment dimension weights and assessment element weights are summarized to obtain a competency assessment model for a certain type of maintenance personnel.

[0090] As an optional implementation, the competency assessment model includes a first-level competency assessment model, a second-level competency assessment model and a third-level competency assessment model, and the difficulty level corresponding to each competency assessment model increases one by one, and:

[0091] The target assessment dimensions of the first-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the first-level competency assessment model include operation specifications I, management system I, safety work knowledge, electrostatic protection, sealing construction, insurance construction, tool and measuring tool use, fastener disassembly and manual query I;

[0092] The target assessment dimensions of the secondary competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the secondary competency assessment model include operation specifications II, management system II, pipeline construction, transmission construction, use of special professional equipment, marking construction I, comprehensive disassembly and assembly of components I, damage removal, inspection ability, system testing and troubleshooting ability I;

[0093] The target assessment dimensions of the three-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the three-level competency assessment model include operating specifications III, management system III, marking construction II, comprehensive disassembly and assembly of components II, patch production and installation, manual query II, troubleshooting ability II and emergency response.

[0094] See also Figures 9-11 , are schematic diagrams of the first to third level competency assessment models provided by an embodiment of the present invention, which show the target assessment dimensions and target assessment elements of each competency assessment model. It is worth noting that the maintenance personnel levels corresponding to the first level competency assessment model, the second level competency assessment model and the third level competency assessment model are the P2 to P4 levels described in the above embodiment.

[0095] It is worth noting that, in some implementations, when constructing a competency assessment model, it is not necessary to subdivide it into maintenance positions. Instead, when constructing a competency assessment model based only on the maintenance personnel level, Figures 9-11The first to third level competency assessment models shown in the figure include all the assessment elements required for different maintenance positions under the maintenance personnel level. In actual application, after the target maintenance position is determined, the weights of the assessment elements not required for the target maintenance position can be set to 0. For example, when the maintenance position is a line maintenance position and the target maintenance personnel level is p2, the first level competency assessment model can be directly called, and the weights of assessment elements such as "damage removal" can be set to 0.

[0096] As an optional implementation manner, the weight of the target evaluation dimension or the weight of the target evaluation element is calculated in the following manner:

[0097] Input a plurality of fuzzy judgment matrices; wherein the elements of the fuzzy judgment matrices are used to characterize the relative importance of different evaluation indicators to be evaluated, and the evaluation indicators to be evaluated are the target evaluation dimensions or the target evaluation elements;

[0098] Calculating the initial weight of each indicator to be evaluated based on the elements of each fuzzy judgment matrix, the total number of the evaluation indicators to be evaluated and the difference degree index;

[0099] The average value of the initial weights of each of the indicators to be evaluated is calculated as the weight of each of the indicators to be evaluated.

[0100] It is worth noting that when calculating the evaluation dimension weights of a competency assessment model, the fuzzy judgment matrix represents the relative importance of each target evaluation dimension, while when calculating the evaluation factor weights of a competency assessment model, the fuzzy judgment matrix represents the relative importance of each target evaluation factor. Further, the fuzzy judgment matrix R is shown in formula (1), where the value r in the fuzzy matrix is ij Given by experts, and, see Table 1, the element r of the fuzzy judgment matrix R ij It represents the relative importance of each target evaluation factor.

[0101]

[0102] Table 1 Fuzzy judgment matrix assignment reference

[0103]

[0104] Furthermore, the element r in the fuzzy judgment matrix R ij The relationship between and weight w is shown in formula (2):

[0105] r ij =0.5+a(w i -w j ) (2)

[0106] Among them, r ij represents the element in the i-th row and j-th column of the fuzzy judgment matrix; a represents the difference degree index; w i represents the initial weight of the i-th indicator to be evaluated; w j Represents the initial weight of the jth indicator to be evaluated.

[0107] Furthermore, in order to maximize the difference, the value of the difference degree index a is shown in formula (3):

[0108]

[0109] Among them, a represents the difference degree index; n represents the total number of evaluation indicators to be evaluated.

[0110] As an optional implementation manner, the initial weight of the indicator to be evaluated is calculated by the following formula:

[0111]

[0112] Among them, w i represents the initial weight of the i-th indicator to be evaluated; n represents the total number of evaluation indicators to be evaluated; a represents the difference degree index; r ik Represents the element in the i-th row and k-th column of the fuzzy judgment matrix.

[0113] It can be understood that according to formula (2) and formula (3), formula (4) can be obtained. Furthermore, for each indicator to be evaluated, the initial weight described in the embodiment of the present invention refers to the weight calculated by a fuzzy judgment matrix, and in order to improve the accuracy of the weight, the embodiment of the present invention collects fuzzy judgment matrices given by different experts, and calculates multiple initial weights accordingly, and then calculates the average value based on each initial weight to obtain the weight of each evaluation indicator.

[0114] For ease of understanding, Fig.10 Taking the secondary competency assessment model shown in FIG. 1 as an example, the method for calculating the weight of the evaluation index in an embodiment of the present invention is explained. See equations (5) to (8), which are fuzzy judgment matrices R1 to R4 given by four experts for the target evaluation dimensions of the secondary competency assessment model collected in an embodiment of the present invention:

[0115]

[0116] According to formula (4) and formula (5) to (8), the four initial weights of each target evaluation dimension can be calculated. Then, the average of the four initial weights of each target evaluation dimension can be taken to obtain the evaluation dimension weight w1 = (0.2583, 0.35, 0.3917), where 0.2583, 0.35 and 0.3917 in w1 represent the weights of the three target evaluation dimensions, that is, the weights of regulations and procedures, operational skills and decision-making ability, respectively.

[0117] Furthermore, the same method can be used to calculate the weight of each evaluation factor: under the dimension of regulations and procedures, the weight of the evaluation factor is w2 = (0.45, 0.55), where 0.45 and 0.55 represent the weights of operating specifications II and management system II, respectively; under the dimension of operating skills, the weight of the evaluation factor is w3 = (0.177, 0.148, 0.195, 0.155, 0.165, 0.16), where the elements in w3 represent the weights of comprehensive disassembly and assembly of components I, pipeline construction, marking construction I, damage removal, use of special professional equipment and transmission construction; under the dimension of decision-making ability, the weight of the evaluation factor is w4 = (0.392, 0.283, 0.335), where the elements in w4 represent the weights of troubleshooting ability I, inspection ability and system testing, respectively.

[0118] Furthermore, the assessment scores of the maintenance personnel are obtained according to the assessment factors of the secondary competency assessment model. See Table 2, which is the assessment scores of the relevant professional content of the maintenance personnel of a certain level P3 in the line maintenance position provided by an embodiment of the present invention.

[0119] Table 2 Evaluation results

[0120]

[0121] Furthermore, by taking the weighted sum of the assessment scores in Table 2 using w1, w2, w3 and w4, it is possible to calculate the competency score of maintenance personnel 1 as 87.79, which can be used to compare with the competency scores of other candidate maintenance personnel, and select the maintenance personnel with the highest competency score to perform the maintenance task to be assigned.

[0122] Compared with the prior art, the method for allocating maintenance tasks based on competency provided in an embodiment of the present invention inputs maintenance information of a maintenance work card to be allocated; wherein the maintenance information includes a target maintenance position and a target maintenance personnel grade; based on the target maintenance position and the target maintenance personnel grade, a target competency assessment model is retrieved from a model database; wherein the target competency assessment model includes a number of assessment dimensions, a number of assessment elements under each of the assessment dimensions, a weight of each assessment dimension, and a weight of each assessment element; a maintenance personnel whose grade at the target maintenance position is the target maintenance personnel grade is screened out as candidate maintenance personnel; based on each of the assessment elements, a number of assessment scores of each of the candidate maintenance personnel are retrieved; the assessment scores are weighted and summed using the assessment dimension weights and the assessment element weights to obtain a competency score of each of the candidate maintenance personnel; the candidate maintenance personnel with the highest competency score is selected as the target maintenance personnel, and the information of the target maintenance personnel is sent to a user terminal for allocating the maintenance work card to be allocated according to the information of the target maintenance personnel. The embodiment of the present invention can automatically realize the accurate allocation of maintenance work cards through a computer program, greatly improve the allocation efficiency of maintenance work cards, ensure the timeliness of aircraft maintenance, and improve the compatibility of maintenance personnel with maintenance tasks to be allocated, thereby ensuring the maintenance quality.

[0123] See also Fig.12 The embodiment of the present invention further provides a competency-based maintenance task allocation device 10, comprising:

[0124] The maintenance worker card acquisition module 11 is used to input the maintenance information of the maintenance worker card to be allocated; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade;

[0125] An evaluation model calling module 12 is used for the target maintenance position and the target maintenance personnel level to call a target competency evaluation model from a model database; wherein the target competency evaluation model includes a plurality of evaluation dimensions, a plurality of evaluation elements under each of the evaluation dimensions, a weight of each evaluation dimension, and a weight of each evaluation element;

[0126] A maintenance personnel preliminary screening module 13 is used to screen out maintenance personnel whose grades in the target maintenance positions are the same as the target maintenance personnel grades as candidate maintenance personnel;

[0127] An evaluation result acquisition module 14 is used to retrieve a number of evaluation results of each candidate maintenance personnel based on each of the evaluation factors;

[0128] A competency scoring module 15 is used to perform weighted summation of the evaluation results using the evaluation dimension weights and the evaluation factor weights to obtain a competency score for each candidate maintenance personnel;

[0129] The maintenance worker card issuing module 16 is used to select the candidate maintenance personnel with the highest competency score as the target maintenance personnel, and send the information of the target maintenance personnel to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

[0130] The competency-based maintenance task allocation device provided in an embodiment of the present invention can implement all the process steps of the competency-based maintenance task allocation method described in the above embodiment. The functions of each module and unit in the device and the technical effects achieved are respectively the same as the functions and technical effects achieved by the competency-based maintenance task allocation method described in the above embodiment, and the specific implementation method will not be repeated here.

[0131] See also Fig.13 The embodiment of the present invention further provides a maintenance task allocation device based on competency, comprising a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21. When the processor 21 executes the computer program, the steps in the above-mentioned maintenance task allocation method based on competency are implemented, for example Figure 1 or, the processor 21 implements the functions of each module in the above-mentioned device embodiments when executing the computer program.

[0132] The competency-based maintenance task allocation device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The competency-based maintenance task allocation device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the schematic diagram is merely an example of a competency-based maintenance task allocation device and does not constitute a limitation on the competency-based maintenance task allocation device. It may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the competency-based maintenance task allocation device may also include input and output devices, network access devices, buses, and the like.

[0133] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the competency-based maintenance task allocation device, and uses various interfaces and lines to connect various parts of the entire competency-based maintenance task allocation device.

[0134] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the competency-based maintenance task allocation device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc.; the data storage area can store data created according to the use of the controller, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0135] Wherein, if the module integrated by the competency-based maintenance task allocation device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0136] Compared with the prior art, the apparatus, device and storage medium for allocating maintenance tasks based on competency provided in the embodiment of the present invention input maintenance information of a maintenance work card to be allocated; wherein the maintenance information includes a target maintenance position and a target maintenance personnel grade; based on the target maintenance position and the target maintenance personnel grade, a target competency assessment model is retrieved from a model database; wherein the target competency assessment model includes a number of assessment dimensions, a number of assessment elements under each of the assessment dimensions, a weight of each assessment dimension and a weight of each assessment element; a maintenance personnel whose grade on the target maintenance position is the target maintenance personnel grade is screened out as candidate maintenance personnel; based on each of the assessment elements, a number of assessment scores of each of the candidate maintenance personnel are retrieved; the assessment scores are weighted and summed using the assessment dimension weights and the assessment element weights to obtain a competency score of each of the candidate maintenance personnel; the candidate maintenance personnel with the highest competency score is selected as the target maintenance personnel, and the information of the target maintenance personnel is sent to a user terminal for allocating the maintenance work card to be allocated according to the information of the target maintenance personnel. The embodiment of the present invention can automatically realize the accurate allocation of maintenance work cards through a computer program, greatly improve the allocation efficiency of maintenance work cards, ensure the timeliness of aircraft maintenance, and improve the compatibility of maintenance personnel with maintenance tasks to be allocated, thereby ensuring the maintenance quality.

[0137] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for allocating maintenance tasks based on competency, characterized in that: include: Enter the maintenance information of the maintenance worker card to be assigned; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade; Based on the target maintenance position and the target maintenance personnel level, a target competency assessment model is retrieved from a model database; wherein the target competency assessment model includes a plurality of assessment dimensions, a plurality of assessment elements under each of the assessment dimensions, a weight of each assessment dimension, and a weight of each assessment element; Screening out maintenance personnel whose grades in the target maintenance positions are the same as the target maintenance personnel grades as candidate maintenance personnel; Based on the evaluation factors, obtaining several evaluation scores of the candidate maintenance personnel; The evaluation results are weighted and summed using the evaluation dimension weights and the evaluation factor weights to obtain the competency score of each candidate maintenance personnel; The candidate maintenance personnel with the highest competency score is selected as the target maintenance personnel, and the information of the target maintenance personnel is sent to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

2. The method for allocating maintenance tasks based on competency according to claim 1, characterized in that: The model database includes competency assessment models corresponding to different types of maintenance personnel, wherein the types of maintenance personnel are divided according to maintenance positions and maintenance personnel grades, and the competency assessment models are pre-constructed in the following manner: Inputting historical scoring information about different types of maintenance personnel; wherein the historical scoring information is used to characterize the importance of different evaluation factors in evaluating the competence of different types of maintenance personnel; Calculate the minimum value, maximum value, average value and standard deviation of each evaluation factor in the historical scoring information; Performing variance homogeneity analysis on the same evaluation factor in different historical scoring information; When the variance homogeneity analysis of each evaluation factor meets the preset requirements, the evaluation factor whose standard deviation is less than the preset standard deviation threshold, whose minimum value is greater than the preset minimum value threshold, or / and whose average value is greater than the preset average value threshold is taken as the target evaluation factor; Taking the evaluation dimension to which the target evaluation element belongs as the target evaluation dimension; Calculate the weights of each target evaluation dimension and each target evaluation element to obtain the evaluation dimension weight and the evaluation element weight; The target assessment dimensions, the target assessment elements, the assessment dimension weights and the assessment element weights are summarized to obtain a competency assessment model.

3. The method for allocating maintenance tasks based on competency according to claim 2, characterized in that: The weight of the target evaluation dimension or the weight of the target evaluation element is calculated in the following way: Input a plurality of fuzzy judgment matrices; wherein the elements of the fuzzy judgment matrices are used to characterize the relative importance of different evaluation indicators to be evaluated, and the evaluation indicators to be evaluated are the target evaluation dimensions or the target evaluation elements; Calculating the initial weight of each indicator to be evaluated based on the elements of each fuzzy judgment matrix, the total number of the evaluation indicators to be evaluated and the difference degree index; The average value of the initial weights of each of the indicators to be evaluated is calculated as the weight of each of the indicators to be evaluated.

4. The method for allocating maintenance tasks based on competency according to claim 3, characterized in that: The initial weight of the indicator to be evaluated is calculated by the following formula: Among them, w i represents the initial weight of the i-th indicator to be evaluated; n represents the total number of evaluation indicators to be evaluated; a represents the difference degree index; r ik Represents the element in the i-th row and k-th column of the fuzzy judgment matrix.

5. The method for allocating maintenance tasks based on competency according to claim 2, characterized in that: The evaluation factors include several evaluation factors under three evaluation dimensions, among which: The evaluation dimensions include rules and procedures, operational skills and decision-making ability; The assessment elements under the said regulations and procedures include operation specifications I, operation specifications II, operation specifications III, management system I, management system II, management system III and safety work knowledge; The evaluation elements under the said operation skills include electrostatic protection, sealing construction, insurance construction, use of tools and measuring tools, pipeline construction, transmission construction, use of special professional equipment, marking construction I, marking construction II, comprehensive disassembly and assembly of components I, comprehensive disassembly and assembly of components II, disassembly and assembly of fasteners, patch production and installation and damage removal; The evaluation factors under the decision-making capability include manual query I, manual query II, inspection capability, system testing, troubleshooting capability I, troubleshooting capability II and emergency response.

6. The method for allocating maintenance tasks based on competency according to claim 2, characterized in that: The competency assessment model includes a first-level competency assessment model, a second-level competency assessment model and a third-level competency assessment model. The difficulty level corresponding to each competency assessment model increases one by one, and: The target assessment dimensions of the first-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the first-level competency assessment model include operation specifications I, management system I, safety work knowledge, electrostatic protection, sealing construction, insurance construction, tool and measuring tool use, fastener disassembly and manual query I; The target assessment dimensions of the secondary competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the secondary competency assessment model include operation specifications II, management system II, pipeline construction, transmission construction, use of special professional equipment, marking construction I, comprehensive disassembly and assembly of components I, damage removal, inspection ability, system testing and troubleshooting ability I; The target assessment dimensions of the three-level competency assessment model include rules and procedures, operational skills and decision-making ability; the target assessment elements of the three-level competency assessment model include operating specifications III, management system III, marking construction II, comprehensive disassembly and assembly of components II, patch production and installation, manual query II, troubleshooting ability II and emergency response.

7. A competency-based maintenance task allocation device, characterized in that: include: A maintenance worker card acquisition module is used to input maintenance information of the maintenance worker card to be allocated; wherein the maintenance information includes the target maintenance position and the target maintenance personnel grade; An evaluation model calling module is used to call a target competency evaluation model from a model database based on the target maintenance position and the target maintenance personnel level; wherein the target competency evaluation model includes a plurality of evaluation dimensions, a plurality of evaluation elements under each of the evaluation dimensions, a weight of each evaluation dimension, and a weight of each evaluation element; A maintenance personnel preliminary screening module is used to screen out maintenance personnel whose grades in the target maintenance positions are the same as the target maintenance personnel grades as candidate maintenance personnel; An evaluation result acquisition module, used for retrieving a number of evaluation results of each candidate maintenance personnel based on each of the evaluation factors; A competency scoring module, used to perform weighted summation of the evaluation results using the evaluation dimension weights and the evaluation factor weights to obtain a competency score for each candidate maintenance personnel; The maintenance worker card issuing module is used to select the candidate maintenance personnel with the highest competency score as the target maintenance personnel, and send the information of the target maintenance personnel to the user terminal, so as to allocate the maintenance worker card to be allocated according to the information of the target maintenance personnel.

8. A competency-based maintenance task allocation device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for allocating maintenance tasks based on competency according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the competency-based maintenance task allocation method according to any one of claims 1 to 6.

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