Instrument service unit instrument use performance evaluation method and system

Abstract

The invention relates to an instrument service unit instrument use performance evaluation method and system. The method comprises the following steps: carrying out unit time length division on a preset time length; combining the unit time periods with similar assessment index data distribution conditions; acquiring respective corresponding assessment index data of the plurality of instrument service units in the plurality of combination time periods; and performing performance evaluation on the instrument service units by combining the assessment index data corresponding to the plurality of instrument service units in the plurality of combination time periods through a two-time superior and inferior solution distance method, wherein the assessment index data correspond to the plurality of instrument service units in the plurality of combination time periods. According to the performance evaluation method, performance evaluation with the preset time length integrated is divided into a plurality of unit time periods for independent evaluation, so that the evaluation process is more comparable; unit time periods with similar assessment index data distribution information are combined, so that the performance assessment efficiency is improved; by using the superior and inferior solution distance method twice, on the basis of ensuring the data comparability, the overall performance evaluation result within the preset time duration is obtained.

Description

Technical Field

[0001] Multiple embodiments of this specification relate to the field of instrument management technology, and specifically to a method and system for evaluating instrument usage performance of an instrument service unit. Background Art

[0002] In the context of the Internet of Things era, big data strongly supports resource sharing. Some scientific research instruments, experimental equipment and other resources can be shared. Usually, units that own experimental instruments are used as instrument service units, and the information of their experimental instruments is entered into the shared instrument reservation platform. Users who do not own experimental instruments make reservations for experimental instruments on the shared instrument reservation platform. For example, the Chinese invention patent with application number 202110166263.X discloses a management method and system for shared instruments. Users can use online reservations to make reservations for shared instruments. The procedures are simple and the process is relatively easy.

[0003] For the shared instrument reservation platform, the instrument service unit needs to assume the responsibility of ensuring the efficient operation of the instrument. In order to improve the efficiency of instrument use and ensure the fairness and sustainability of resource sharing, it is necessary to conduct a reasonable performance evaluation of the instrument use of the instrument service unit. Through performance evaluation, the operating status and service quality of the instrument can be fully understood, thereby optimizing resource allocation and improving service levels. At the same time, a reasonable performance evaluation system can also motivate instrument service units to improve their management capabilities, ensure the effective use of shared resources, and promote the smooth progress of scientific research. Summary of the invention

[0004] The embodiments of this specification provide a method and system for evaluating the performance of instrument usage of an instrument service unit, which can perform reasonable performance evaluation on the instrument usage of each instrument service unit.

[0005] The technical solution is as follows: In a first aspect, an embodiment of the present specification provides a method for evaluating instrument usage performance of an instrument service unit, comprising: Dividing the preset time length based on the unit time length to obtain multiple unit time periods; Acquire a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods; Based on the first assessment indicator data set corresponding to each instrument service unit, the assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all the instrument service units, is obtained; and based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, the multiple unit time periods are combined to obtain multiple combined time periods; Based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each of the instrument service units, a second assessment indicator data set corresponding to each of the instrument service units is obtained, wherein the second assessment indicator data set includes the assessment indicator data corresponding to each of the instrument service units in the multiple combined time periods; Based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, a performance assessment data set corresponding to each instrument service unit is obtained, wherein the performance assessment data set includes performance data corresponding to each instrument service unit in multiple combined time periods; Based on the superior and inferior solution distance method and the performance appraisal data set corresponding to each instrument service unit, the performance evaluation results corresponding to each instrument service unit are obtained.

[0006] As a preferred solution, the assessment index data includes assessment index values ​​corresponding to multiple assessment categories, and the multiple assessment categories include at least two of the number of instrument reservations, instrument operation time, fee amount, instrument external sharing score, and instrument maintenance expenditure; Before obtaining the assessment indicator data distribution information corresponding to each of the plurality of unit time periods and reflecting the overall distribution of the assessment indicator data of all the instrument service units based on the first assessment indicator data set corresponding to each of the instrument service units, the method further includes: obtaining a plurality of preset value ranges corresponding to each of the plurality of assessment categories; The method comprises: obtaining, based on the first assessment indicator data set corresponding to each instrument service unit, assessment indicator data distribution information corresponding to each of the plurality of unit time periods, which can reflect the overall distribution of the assessment indicator data of all the instrument service units; and combining the plurality of unit time periods based on the assessment indicator data distribution information corresponding to each of the plurality of unit time periods to obtain a plurality of combined time periods, including: Based on the first assessment indicator data set corresponding to each instrument service unit and the multiple preset value ranges corresponding to the multiple assessment categories, the assessment indicator data distribution information corresponding to each of the multiple unit time periods is obtained, wherein the assessment indicator data distribution information includes the distribution quantity of the overall assessment indicator data of all instrument service units in the unit time period in different preset value ranges of each assessment category; Based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, the similarity of the assessment indicator data distribution between the unit time periods is obtained; Multiple unit time periods are combined based on the similarity of the distribution of the assessment indicator data between each unit time period to obtain multiple combined time periods.

[0007] As a preferred solution, the method of obtaining the performance evaluation data set corresponding to each instrument service unit based on the superior-inferior solution distance method and the second evaluation indicator data set corresponding to each instrument service unit includes: For each combined time period, all instrument service units are clustered based on the assessment index data corresponding to each instrument service unit in the combined time period to obtain multiple instrument service unit cluster groups corresponding to the combined time period; For each instrument service unit cluster group, based on the assessment index data corresponding to each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group, the index representative data corresponding to the instrument service unit cluster group is obtained; For each combined time period, based on the superior-inferior solution distance method and the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained, wherein the performance data set corresponding to the combined time period includes the performance data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period; Based on the performance data sets corresponding to each combined time period, the performance evaluation data sets corresponding to each instrument service unit are obtained.

[0008] As a preferred scheme, for each instrument service unit cluster group, the indicator representative data corresponding to the instrument service unit cluster group is obtained by averaging the corresponding assessment index data of each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group.

[0009] As a preferred solution, based on the superior-inferior solution distance method and the representative index data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained, including: Based on the representative index data corresponding to each of the plurality of instrument service unit cluster groups corresponding to the combined time period, a positive ideal solution of the index and a negative ideal solution of the index corresponding to the combined time period are obtained; Based on the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained.

[0010] As a preferred solution, the indicator representative data includes indicator values ​​corresponding to multiple assessment categories, and the indicator positive ideal solution and the indicator negative ideal solution also include indicator values ​​corresponding to multiple assessment categories; The performance data set corresponding to the combined time period is obtained based on the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period. The performance data acquisition for any instrument service unit cluster group in the combined time period includes: Based on the indicator values ​​corresponding to each of the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to each of the multiple assessment categories in the indicator positive ideal solution, a first positive distance is obtained; Based on the indicator values ​​corresponding to each of the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to each of the multiple assessment categories in the negative ideal solution of the indicator, a first negative distance is obtained; Based on the first positive distance and the first negative distance, the performance data of the instrument service unit cluster group is obtained.

[0011] As a preferred solution, the performance evaluation results corresponding to each instrument service unit are obtained based on the superior-inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit, including: Based on the performance evaluation data set corresponding to each instrument service unit, the positive ideal performance solution and the negative ideal performance solution corresponding to the preset time length are obtained; Based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, the performance evaluation result corresponding to each instrument service unit is obtained.

[0012] As a preferred solution, the positive ideal performance solution and the negative ideal performance solution both include performance data corresponding to multiple combined time periods; In the step of obtaining the performance evaluation results corresponding to each instrument service unit based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, the performance evaluation results for any instrument service unit are obtained including: Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the performance positive ideal solution, a second positive distance is obtained; Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the negative ideal performance solution, a second negative distance is obtained; Based on the second positive distance and the second negative distance, performance data of the instrument service unit is obtained.

[0013] As a preferred solution, after obtaining the performance evaluation data set corresponding to each instrument service unit, the method further includes: Based on the performance appraisal data set corresponding to each instrument service unit, a graph is obtained that can respectively reflect the performance data comparison of each instrument service unit in different combined time periods.

[0014] In a second aspect, an embodiment of the present specification provides an instrument service unit instrument usage performance evaluation system, based on an instrument service unit instrument usage performance evaluation method described in the first aspect of the above embodiment, comprising: A division module divides the preset time length based on the unit time length to obtain multiple unit time periods; A first acquisition module acquires a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods; A combination module, based on the first assessment indicator data set corresponding to each instrument service unit, obtains assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all instrument service units, and combines the multiple unit time periods based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods to obtain multiple combined time periods; A second acquisition module acquires a second assessment indicator data set corresponding to each instrument service unit based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each instrument service unit, wherein the second assessment indicator data set includes the assessment indicator data corresponding to each instrument service unit in the multiple combined time periods; A third acquisition module, based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, acquires a performance assessment data set corresponding to each instrument service unit, wherein the performance assessment data set includes performance data corresponding to each instrument service unit in multiple combined time periods; The fourth acquisition module acquires the performance evaluation results corresponding to each instrument service unit based on the superior and inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit.

[0015] In a third aspect, an embodiment of this specification provides an electronic device, comprising a processor and a memory; the processor is connected to the memory; the memory is used to store executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps described in the first aspect of the above embodiment.

[0016] In a fourth aspect, an embodiment of this specification provides a computer storage medium, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the steps described in the first aspect of the above embodiment.

[0017] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least: First, the preset time length is divided into unit time lengths, and the unit time periods with similar assessment index data distribution are further combined, and the assessment index data corresponding to each of the multiple instrument service units in the multiple combined time periods are obtained. The subsequent performance evaluation of the instrument service units is based on the assessment index data corresponding to each of the multiple instrument service units in the multiple combined time periods. First, the performance evaluation of the preset time length as a whole is divided into multiple unit time periods for separate evaluation to make the evaluation process more comparable; secondly, since the unit time periods with similar assessment index data distribution information are combined, and the performance evaluation of the instrument service units is subsequently performed based on the assessment index data corresponding to each of the multiple instrument service units in the multiple combined time periods, the performance evaluation efficiency is improved.

[0018] Through the two-way superior-inferior solution distance method, firstly, on the basis of ensuring data comparability, the corresponding performance data of multiple instrument service units in multiple combined time periods are obtained; further, based on the performance appraisal data set corresponding to each instrument service unit, the performance evaluation results that can represent the performance of each instrument service unit in the entire preset time length are obtained.

[0019] When obtaining the performance appraisal data set corresponding to each instrument service unit, for each combined time period, the instrument service units are clustered based on the appraisal index data of each instrument service unit in the combined time period to obtain multiple instrument service unit cluster groups, and further obtain the corresponding index representative data of each of the multiple instrument service unit cluster groups. Subsequently, the performance data corresponding to each of the multiple instrument service unit cluster groups are obtained based on the superior and inferior solution distance method and the corresponding index representative data of each of the multiple instrument service unit cluster groups, and the performance appraisal data of the instrument service units in the instrument service unit cluster group are directly represented by the performance data corresponding to the instrument service unit cluster group. That is, by clustering the instrument service units, the efficiency of performance evaluation is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a flowchart of an instrument service unit instrument usage performance evaluation method provided in an embodiment of this specification.

[0022] Figure 2It is a structural diagram of an instrument service unit instrument usage performance evaluation system provided in an embodiment of this specification.

[0023] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of this specification will be described clearly and completely below in conjunction with the drawings in the embodiments of this specification.

[0025] The terms "first", "second", "third", etc. in the description and claims of this specification and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0026] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present specification. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described with respect to some examples may be combined in other examples.

[0027] Reference Figure 1 As shown, Figure 1 A flowchart of a method for evaluating the performance of instrument use of an instrument service unit provided in an embodiment of this specification may include at least the following steps: Step 102: Divide the preset time length based on the unit time length to obtain a plurality of unit time periods.

[0028] The unit time length mentioned here can be divided according to actual conditions, such as by hours, by days, or by weeks.

[0029] Step 104: Acquire a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods.

[0030] Step 106: Based on the first assessment indicator data set corresponding to each instrument service unit, obtain the assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all instrument service units; and based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, combine the multiple unit time periods to obtain multiple combined time periods.

[0031] Step 108: Based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each instrument service unit, obtain the second assessment indicator data set corresponding to each instrument service unit, the second assessment indicator data set including the assessment indicator data corresponding to each instrument service unit in the multiple combined time periods.

[0032] Step 110, based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, obtain the performance assessment data set corresponding to each instrument service unit, wherein the performance assessment data set includes the performance data corresponding to each instrument service unit in multiple combined time periods.

[0033] Step 112: Based on the superior-inferior solution distance method and the performance appraisal data set corresponding to each instrument service unit, obtain the performance evaluation result corresponding to each instrument service unit.

[0034] The best-bad-solution distance method is a multi-attribute decision-making method used to select the best solution from multiple options. This method evaluates each solution by calculating the distance between it and the ideal solution and the negative ideal solution, and prioritizes the solutions based on these distances.

[0035] Therefore, when this method is applied to the performance evaluation of multiple instrument service units, the best indicator data of multiple instrument service units can be used as the ideal solution, and the worst indicator data can be used as the negative ideal solution. Subsequently, based on the indicator data, ideal solution, and negative ideal solution corresponding to each of the multiple instrument service units, the distance information between the indicator data corresponding to each of the multiple instrument service units and the ideal solution and the negative ideal solution can be obtained, and then the performance of multiple instrument service units can be evaluated based on the distance information corresponding to each of the multiple instrument service units. The specific calculation method will be described in the following corresponding embodiments.

[0036] It is understandable that at present, when conducting performance appraisal, it is usually based directly on the values ​​of various appraisal indicators over a longer period of time. However, the various appraisal indicators over a longer period of time reflect the comprehensive performance of the appraisal object over a longer period of time, and cannot reflect the performance of the appraisal object in different time periods over a longer period of time.

[0037] For example, it is unreasonable to compare the performance of instrument service unit A in the morning time period with the performance of instrument service unit B in the afternoon time period to determine which of the two instrument service units is better or worse. Therefore, the above problems are likely to occur when performance appraisal is conducted based on performance over a longer period of time.

[0038] Therefore, in the performance evaluation method provided in the embodiments of the present specification, the preset time length is first divided into unit time lengths, and the unit time periods with similar distribution of evaluation index data are further combined, and the evaluation index data corresponding to each of the multiple instrument service units in the multiple combined time periods are obtained, and the subsequent performance evaluation of the instrument service units is performed based on the evaluation index data corresponding to each of the multiple instrument service units in the multiple combined time periods. First, the performance evaluation of the preset time length as a whole is divided into multiple unit time periods for separate evaluation to make the evaluation process more comparable; secondly, because the unit time periods with similar distribution information of evaluation index data are combined, and the performance evaluation of the instrument service units is subsequently performed based on the evaluation index data corresponding to each of the multiple instrument service units in the multiple combined time periods, the efficiency of performance evaluation is improved.

[0039] In the performance evaluation method provided in the embodiment of this specification, through the two-way superior and inferior solution distance method, firstly, on the basis of ensuring data comparability, the corresponding performance data of multiple instrument service units in multiple combined time periods are obtained; further, based on the performance evaluation data set corresponding to each instrument service unit, the performance evaluation results representing the performance of each instrument service unit in the entire preset time length are obtained. The specific calculation method will be described in the corresponding embodiment below.

[0040] In some embodiments of this specification: The assessment index data includes assessment index values ​​corresponding to multiple assessment categories, and the multiple assessment categories include at least two of the number of instrument reservations, instrument operating hours, charging amount, instrument external sharing score, and instrument maintenance expenses. The instrument external sharing score is the experience score of external instrument users after using the instrument.

[0041] Before obtaining the assessment indicator data distribution information corresponding to each of the plurality of unit time periods and reflecting the overall distribution of the assessment indicator data of all the instrument service units based on the first assessment indicator data set corresponding to each of the instrument service units, the method further includes: obtaining a plurality of preset value ranges corresponding to each of the plurality of assessment categories; For example, for the instrument operating time, three preset value ranges are set: 1 hour to 3 hours, 3 hours to 6 hours, and 6 hours to 9 hours; for the charging amount, three preset value ranges are set: 100 yuan to 300 yuan, 300 yuan to 600 yuan, and 600 yuan to 900 yuan. The specific settings can be made according to actual needs.

[0042] The method comprises: obtaining, based on the first assessment indicator data set corresponding to each instrument service unit, assessment indicator data distribution information corresponding to each of the plurality of unit time periods, which can reflect the overall distribution of the assessment indicator data of all the instrument service units; and combining the plurality of unit time periods based on the assessment indicator data distribution information corresponding to each of the plurality of unit time periods to obtain a plurality of combined time periods, including: Step 1062: based on the first assessment indicator data set corresponding to each instrument service unit and the multiple preset value ranges corresponding to the multiple assessment categories, obtain the assessment indicator data distribution information corresponding to each of the multiple unit time periods, wherein the assessment indicator data distribution information includes the distribution quantity of the assessment indicator data of all instrument service units in the unit time period in different preset value ranges of each assessment category; Take the case of only instrument service unit A and instrument service unit B as an example for explanation: Assumptions: Instrument service unit A runs its instrument for 4 hours in unit time period 1, and charges RMB 400; Instrument service unit B runs its instrument for 5 hours in unit time period 1 and charges RMB 500; Therefore, in time period 1, the number of assessment index data of all instrument service units that fall within the range of 3 hours to 6 hours under the instrument operation time assessment category is 2; the number of assessment index data of all instrument service units that fall within the range of 300 yuan to 600 yuan under the fee amount assessment category in time period 1 is 2.

[0043] The instrument service unit A runs the instrument for 7 hours in unit time period 2 and charges RMB 700; Instrument service unit B runs its instrument for 8 hours in unit time period 2, and charges RMB 800; Therefore, in time period 2, the number of assessment index data of all instrument service units that fall within the range of 6 hours to 9 hours under the instrument operation time assessment category is 2; the number of assessment index data of all instrument service units that fall within the range of 600 yuan to 900 yuan under the fee amount assessment category in time period 2 is 2.

[0044] The instrument service unit A runs the instrument for 5 hours in unit time period 3 and charges RMB 400; The instrument service unit B runs the instrument for 4 hours in unit time period 3 and charges RMB 500; Therefore, in time period 3, the number of assessment index data of all instrument service units that fall within the range of 3 hours to 6 hours under the instrument operation time assessment category is 2; the number of assessment index data of all instrument service units that fall within the range of 300 yuan to 600 yuan under the fee amount assessment category is 2 in time period 3.

[0045] Step 1064: Based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, obtain the assessment indicator data distribution similarity between the unit time periods.

[0046] The specific similarity calculation method is not limited here, but it can be understood that based on the evaluation index data distribution information presented in the above example, the similarity between time period 1 and time period 3 is higher than the similarity between time period 1 and time period 2.

[0047] Step 1066: Combine multiple unit time periods based on the similarity of the distribution of the assessment indicator data between each unit time period to obtain multiple combined time periods.

[0048] It can be understood that the time period 1 and the time period 3 in the above example can be combined to obtain a new combined time period.

[0049] As for step 108, the following description is also continued based on the above example content: That is, for the instrument service unit A, in the combined time period obtained by combining time period 1 and time period 3, the assessment index data include: the instrument operation time is 4 hours + 5 hours = 9 hours, and the charge amount is 400 yuan + 400 yuan = 800 yuan; For the combined time period obtained by combining time period 1 and time period 3, the assessment index data for instrument service unit B include: the instrument operation time is 5 hours + 4 hours = 9 hours, and the charge amount is 500 yuan + 500 yuan = 1,000 yuan.

[0050] In some embodiments of the present specification, the obtaining of the performance evaluation data set corresponding to each instrument service unit based on the superior-inferior solution distance method and the second evaluation indicator data set corresponding to each instrument service unit includes: Step 1102: for each combined time period, clustering operation is performed on all instrument service units based on the assessment index data corresponding to each instrument service unit in the combined time period to obtain multiple instrument service unit clustering groups corresponding to the combined time period.

[0051] For example: Instrument service unit A runs its instrument for 5 hours in combined time period 1 and charges RMB 400; Instrument service unit B runs its instrument for 4 hours in combined time period 1 and charges RMB 500; Instrument service unit C runs its instrument for 8 hours in combined time period 1 and charges RMB 800; Instrument service unit D runs its instrument for 8 hours in combined time period 1 and charges RMB 900; At this time, for the combined time period 1, through the clustering operation, the instrument service unit A and the instrument service unit B can be clustered to obtain the instrument service unit cluster group 1, and the instrument service unit C and the instrument service unit D can be clustered to obtain the instrument service unit cluster group 2.

[0052] Step 1104: for each instrument service unit cluster group, based on the assessment index data corresponding to each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group, obtain the index representative data corresponding to the instrument service unit cluster group.

[0053] Take the instrument service unit cluster group 1 as an example: Instrument service unit A runs its instrument for 5 hours in combined time period 1 and charges RMB 400; Instrument service unit B runs its instrument for 4 hours in combined time period 1 and charges RMB 500; The representative data of the indicators of the instrument service unit cluster group 1 include representative data of the operating time and representative data of the charging amount.

[0054] For each instrument service unit cluster group, based on the corresponding assessment index data of each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group, the representative index data corresponding to the instrument service unit cluster group are obtained by averaging.

[0055] Therefore, the representative data of the indicators of the instrument service unit cluster group 1 include an operating time indicator value of 4.5 hours and a charging amount indicator value of 450 yuan.

[0056] Step 1106: For each combined time period, based on the superior-inferior solution distance method and the indicator representative data corresponding to each of the multiple instrument service unit clustering groups corresponding to the combined time period, obtain a performance data set corresponding to the combined time period, wherein the performance data set corresponding to the combined time period includes the performance data corresponding to each of the multiple instrument service unit clustering groups corresponding to the combined time period.

[0057] Step 1108: Based on the performance data sets corresponding to each combined time period, obtain the performance evaluation data sets corresponding to each instrument service unit.

[0058] It can be understood that when obtaining the performance appraisal data set corresponding to each instrument service unit, for each combined time period, the instrument service units are clustered based on the appraisal index data of each instrument service unit in the combined time period to obtain multiple instrument service unit cluster groups, and further obtain the corresponding index representative data of the multiple instrument service unit cluster groups, and then obtain the corresponding performance data of the multiple instrument service unit cluster groups based on the superior and inferior solution distance method and the corresponding index representative data of the multiple instrument service unit cluster groups, and the performance appraisal data of the instrument service units in the instrument service unit cluster group are directly represented by the performance data corresponding to the instrument service unit cluster group. That is, by clustering the instrument service units, the efficiency of performance evaluation is further improved.

[0059] In some embodiments of the present specification, based on the superior-inferior solution distance method and the indicator representative data corresponding to each of the plurality of instrument service unit clustering groups corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained, including: Step 11062: Based on the indicator representative data corresponding to each of the multiple instrument service unit clustering groups corresponding to the combined time period, obtain the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period.

[0060] Step 11064: Based on the indicator representative data corresponding to each of the multiple instrument service unit clustering groups corresponding to the combined time period, the indicator positive ideal solution corresponding to the combined time period, and the indicator negative ideal solution, obtain the performance data set corresponding to the combined time period.

[0061] The indicator representative data includes indicator values ​​corresponding to each of the multiple assessment categories, and the indicator positive ideal solution and the indicator negative ideal solution also include indicator values ​​corresponding to each of the multiple assessment categories; The performance data set corresponding to the combined time period is obtained based on the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period. The performance data acquisition for any instrument service unit cluster group in the combined time period includes: Based on the indicator values ​​corresponding to each of the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to each of the multiple assessment categories in the indicator positive ideal solution, a first positive distance is obtained; Based on the indicator values ​​corresponding to each of the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to each of the multiple assessment categories in the negative ideal solution of the indicator, a first negative distance is obtained; Based on the first positive distance and the first negative distance, the performance data of the instrument service unit cluster group is obtained.

[0062] Therefore, the performance data set corresponding to the combined time period is: ; in, Indicates The first combination of time periods The performance data corresponding to the instrument service unit cluster group, Indicates The total number of instrument service unit cluster groups corresponding to the combined time periods; in, , Indicates The first combination of time periods The representative data of the indicators corresponding to the instrument service unit cluster group are The distance between the negative ideal solution of the indicator corresponding to the combined time period (i.e. the first negative distance), Indicates The first combination of time periods The representative data of the indicators corresponding to the instrument service unit cluster group are The distance from the positive ideal solution of the indicator corresponding to the combined time period (i.e., a positive distance); in, , Indicates The first combination of time periods The indicators corresponding to the cluster groups of instrument service units represent the The indicator value of each assessment category, Indicates The negative ideal solution of the index corresponding to the combined time period The indicator value of each assessment category, Indicates The performance calculation adjustment coefficient corresponding to each assessment category (Note: Since the numerical ranges of different assessment categories vary, it is necessary to set the adjustment coefficient); in, , Indicates The indicator corresponding to the combined time period is the ideal solution. The indicator value of each assessment category.

[0063] It can be understood that the positive ideal solution or the negative ideal solution of the indicator contains the indicator values ​​corresponding to multiple assessment categories, which are explained by examples below: Assume that the combined time period 1 corresponds to instrument service unit cluster group 1, instrument service unit cluster group 2, and instrument service unit cluster group 3.

[0064] Among them, the representative data of the indicators corresponding to the instrument service unit cluster group 1 include the operating time indicator value of 4 hours and the charging amount indicator value of 800 yuan; The representative data of indicators corresponding to instrument service unit cluster group 2 include an operating time indicator value of 5 hours and a charging amount indicator value of 1,000 yuan.

[0065] The representative data of indicators corresponding to instrument service unit cluster group 3 include an operating time indicator value of 6 hours and a charging amount indicator value of 1,200 yuan.

[0066] At this time, the positive ideal solution of the indicator or the negative ideal solution of the indicator should contain the indicator values ​​corresponding to the operating time assessment category and the charging amount assessment category.

[0067] Moreover, if, for example, you want a higher charge amount and a shorter running time, you can select 1,200 yuan as the indicator value corresponding to the charge amount assessment category in the positive ideal solution of the indicator, and 4 hours as the indicator value corresponding to the running time assessment category in the positive ideal solution of the indicator. The negative ideal solution of the indicator is the opposite of the positive ideal solution of the indicator, which will not be elaborated here.

[0068] In some embodiments of this specification, the obtaining of the performance evaluation results corresponding to each instrument service unit based on the superior-inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit includes: Step 1122: Based on the performance evaluation data set corresponding to each instrument service unit, obtain the positive ideal performance solution and the negative ideal performance solution corresponding to the preset time length.

[0069] The following example illustrates that the performance data of instrument service unit A in combined time period 1 is 70, the performance data in combined time period 2 is 80, and the performance data in combined time period 3 is 90; The performance data of instrument service unit B in combined time period 1 is 60, the performance data in combined time period 2 is 70, and the performance data in combined time period 3 is 80; The performance data of instrument service unit C in combined time period 1 is 50, the performance data in combined time period 2 is 60, and the performance data in combined time period 3 is 70; The ideal solution of the performance corresponding to the preset time length includes performance data 70 corresponding to the first combined time period, performance data 80 corresponding to the second combined time period, and performance data 90 corresponding to the third combined time period.

[0070] The negative ideal performance solution corresponding to the preset time length includes performance data 50 corresponding to the first combined time period, performance data 60 corresponding to the second combined time period, and performance data 70 corresponding to the third combined time period.

[0071] The principles for obtaining the positive ideal performance solution and the negative ideal performance solution are similar to those for obtaining the positive ideal indicator solution and the negative ideal indicator solution mentioned above, and will not be elaborated here.

[0072] Step 1124: Based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, obtain the performance evaluation result corresponding to each instrument service unit.

[0073] The positive ideal performance solution and the negative ideal performance solution both include performance data corresponding to multiple combined time periods; In the step of obtaining the performance evaluation results corresponding to each instrument service unit based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, the performance evaluation results for any instrument service unit are obtained including: Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the performance positive ideal solution, a second positive distance is obtained; Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the negative ideal performance solution, a second negative distance is obtained; Based on the second positive distance and the second negative distance, performance data of the instrument service unit is obtained.

[0074] Among them, the performance evaluation results of the instrument service unit are calculated as follows: ; in, Indicates The performance evaluation results of the instrument service units are as follows: Indicates The distance between the performance evaluation data set corresponding to each instrument service unit and the negative ideal solution of performance (i.e., the second negative distance), Indicates The distance between the performance evaluation data set corresponding to each instrument service unit and the positive ideal solution of performance (i.e., the second positive distance); ; in, Indicates The performance evaluation data set corresponding to the instrument service unit Performance data corresponding to the combined time periods, Indicates the total number of combined time periods, Indicates the performance negative ideal solution Performance data corresponding to the combined time periods, Indicates The performance evaluation weights corresponding to the combined time periods (Note: different time periods have different importance for performance evaluation, so it is necessary to set evaluation weights); ; in, Indicates that performance is the ideal solution Performance data corresponding to the combined time periods.

[0075] In some embodiments of this specification, after obtaining the performance evaluation data set corresponding to each instrument service unit, the method further includes: Based on the performance appraisal data set corresponding to each instrument service unit, a graph is obtained that can respectively reflect the performance data comparison of each instrument service unit in different combined time periods.

[0076] Combined with graphs to display performance comparison, such as bar charts, line charts, etc.

[0077] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] See next Figure 2 , Figure 2 A schematic diagram of the structure of an instrument service unit instrument usage performance evaluation system provided in an embodiment of the present specification is shown.

[0079] The performance evaluation system may include at least: A division module divides the preset time length based on the unit time length to obtain multiple unit time periods; A first acquisition module acquires a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods; A combination module, based on the first assessment indicator data set corresponding to each instrument service unit, obtains assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all instrument service units, and combines the multiple unit time periods based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods to obtain multiple combined time periods; A second acquisition module acquires a second assessment indicator data set corresponding to each instrument service unit based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each instrument service unit, wherein the second assessment indicator data set includes the assessment indicator data corresponding to each instrument service unit in the multiple combined time periods; A third acquisition module, based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, acquires a performance assessment data set corresponding to each instrument service unit, wherein the performance assessment data set includes performance data corresponding to each instrument service unit in multiple combined time periods; The fourth acquisition module acquires the performance evaluation results corresponding to each instrument service unit based on the superior and inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit.

[0080] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the performance evaluation system embodiment, since it is basically similar to the performance evaluation method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the performance evaluation method embodiment.

[0081] See also Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification is shown.

[0082] like Figure 3 As shown, the electronic device 300 may include: at least one processor 301 , at least one network interface 303 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0083] The communication bus 302 may be used to realize the connection and communication among the above-mentioned components.

[0084] The user interface 303 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0085] The network interface 303 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0086] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts within the entire electronic device 300, and executes various functions and processes data of the electronic device 300 by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of DSP, FPGA, and PLC. The processor 301 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0087] Among them, the memory 305 may include RAM or ROM. Optionally, the memory 305 includes a non-transitory computer-readable medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be at least one storage device located away from the aforementioned processor 301. The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and a performance evaluation application. The processor 301 may be used to call the performance evaluation program stored in the memory 305 and execute the steps of the performance evaluation method mentioned in the above-mentioned embodiment.

[0088] The embodiments of this specification also provide a computer-readable storage medium, which stores instructions, and when the instructions are executed on a computer or a processor, the computer or the processor executes one or more steps in the above-mentioned performance evaluation method embodiment. If the component modules of the above-mentioned electronic device are implemented in the form of software functional units and sold or used as independent products, they can be stored in the computer-readable storage medium.

[0089] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of this specification is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state drive (SSD)).

[0090] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes. In the absence of conflict, the technical features in this embodiment and the implementation scheme can be combined arbitrarily.

[0091] The embodiments described above are merely preferred embodiments of this specification and are not intended to limit the scope of this specification. Without departing from the design spirit of this specification, various modifications and improvements made to the technical solutions of this specification by ordinary technicians in this field should fall within the scope of protection determined by the claims of this specification.

Claims

1. A method for evaluating the performance of instrument use in an instrument service unit, characterized in that: include: Dividing the preset time length based on the unit time length to obtain multiple unit time periods; Acquire a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods; Based on the first assessment indicator data set corresponding to each instrument service unit, the assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all the instrument service units, is obtained; and based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, the multiple unit time periods are combined to obtain multiple combined time periods; Based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each of the instrument service units, a second assessment indicator data set corresponding to each of the instrument service units is obtained, wherein the second assessment indicator data set includes the assessment indicator data corresponding to each of the instrument service units in the multiple combined time periods; Based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, a performance assessment data set corresponding to each instrument service unit is obtained, wherein the performance assessment data set includes performance data corresponding to each instrument service unit in multiple combined time periods; Based on the superior and inferior solution distance method and the performance appraisal data set corresponding to each instrument service unit, the performance evaluation results corresponding to each instrument service unit are obtained.

2. The method for evaluating the performance of instrument use of an instrument service unit according to claim 1, characterized in that: The assessment index data includes assessment index values ​​corresponding to each of a plurality of assessment categories, wherein the plurality of assessment categories include at least two of the number of instrument reservations, instrument operation time, fee amount, instrument external sharing score, and instrument maintenance expenditure; Before obtaining the assessment indicator data distribution information corresponding to each of the plurality of unit time periods and reflecting the overall distribution of the assessment indicator data of all the instrument service units based on the first assessment indicator data set corresponding to each of the instrument service units, the method further includes: obtaining a plurality of preset value ranges corresponding to each of the plurality of assessment categories; The method comprises: obtaining, based on the first assessment indicator data set corresponding to each instrument service unit, assessment indicator data distribution information corresponding to each of the plurality of unit time periods, which can reflect the overall distribution of the assessment indicator data of all the instrument service units; and combining the plurality of unit time periods based on the assessment indicator data distribution information corresponding to each of the plurality of unit time periods to obtain a plurality of combined time periods, including: Based on the first assessment indicator data set corresponding to each instrument service unit and the multiple preset value ranges corresponding to the multiple assessment categories, the assessment indicator data distribution information corresponding to each of the multiple unit time periods is obtained, wherein the assessment indicator data distribution information includes the distribution quantity of the overall assessment indicator data of all instrument service units in the unit time period in different preset value ranges of each assessment category; Based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods, the similarity of the assessment indicator data distribution between the unit time periods is obtained; Multiple unit time periods are combined based on the similarity of the distribution of the assessment indicator data between each unit time period to obtain multiple combined time periods.

3. The method for evaluating the performance of instrument use of an instrument service unit according to claim 1, characterized in that: The method of obtaining the performance evaluation data set corresponding to each instrument service unit based on the superior-inferior solution distance method and the second evaluation indicator data set corresponding to each instrument service unit includes: For each combined time period, all instrument service units are clustered based on the assessment index data corresponding to each instrument service unit in the combined time period to obtain multiple instrument service unit cluster groups corresponding to the combined time period; For each instrument service unit cluster group, based on the assessment index data corresponding to each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group, the index representative data corresponding to the instrument service unit cluster group is obtained; For each combined time period, based on the superior-inferior solution distance method and the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained, wherein the performance data set corresponding to the combined time period includes the performance data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period; Based on the performance data sets corresponding to each combined time period, the performance evaluation data sets corresponding to each instrument service unit are obtained.

4. The method for evaluating the performance of instrument use of an instrument service unit according to claim 3, characterized in that: For each instrument service unit cluster group, based on the assessment index data corresponding to each instrument service unit in the instrument service unit cluster group within the combined time period corresponding to the instrument service unit cluster group, the representative index data corresponding to the instrument service unit cluster group is obtained by averaging.

5. The method for evaluating the performance of instrument use in an instrument service unit according to claim 3, characterized in that: Based on the superior and inferior solution distance method and the representative indicator data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the performance data set corresponding to the combined time period is obtained, including: Based on the representative index data corresponding to each of the plurality of instrument service unit cluster groups corresponding to the combined time period, a positive ideal solution of the index and a negative ideal solution of the index corresponding to the combined time period are obtained; Based on the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period, a performance data set corresponding to the combined time period is obtained.

6. The method for evaluating the performance of instrument use of an instrument service unit according to claim 5, characterized in that: The indicator representative data includes indicator values ​​corresponding to each of the multiple assessment categories, and the indicator positive ideal solution and the indicator negative ideal solution also include indicator values ​​corresponding to each of the multiple assessment categories; The performance data set corresponding to the combined time period is obtained based on the indicator representative data corresponding to each of the multiple instrument service unit cluster groups corresponding to the combined time period, the indicator positive ideal solution and the indicator negative ideal solution corresponding to the combined time period. The performance data acquisition for any instrument service unit cluster group in the combined time period includes: Based on the indicator values ​​corresponding to the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to the multiple assessment categories in the indicator positive ideal solution, a first positive distance is obtained; Based on the indicator values ​​corresponding to each of the multiple assessment categories in the indicator representative data of the instrument service unit cluster group and the indicator values ​​corresponding to each of the multiple assessment categories in the negative ideal solution of the indicator, a first negative distance is obtained; Based on the first positive distance and the first negative distance, the performance data of the instrument service unit cluster group is obtained.

7. The method for evaluating the performance of instrument use of an instrument service unit according to claim 1, characterized in that: The performance evaluation results corresponding to each instrument service unit are obtained based on the superior-inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit, including: Based on the performance evaluation data set corresponding to each instrument service unit, the positive ideal performance solution and the negative ideal performance solution corresponding to the preset time length are obtained; Based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, the performance evaluation result corresponding to each instrument service unit is obtained.

8. The method for evaluating the performance of instrument use of an instrument service unit according to claim 7, characterized in that: The positive ideal performance solution and the negative ideal performance solution both include performance data corresponding to multiple combined time periods; In the step of obtaining the performance evaluation results corresponding to each instrument service unit based on the performance appraisal data set corresponding to each instrument service unit, the positive ideal performance solution corresponding to the preset time length, and the negative ideal performance solution, the performance evaluation results for any instrument service unit are obtained including: Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the performance positive ideal solution, a second positive distance is obtained; Based on the performance data corresponding to each of the multiple combined time periods of the instrument service unit and the performance data corresponding to each of the multiple combined time periods in the negative ideal performance solution, a second negative distance is obtained; Based on the second positive distance and the second negative distance, performance data of the instrument service unit is obtained.

9. The method for evaluating the performance of instrument use in an instrument service unit according to claim 1, characterized in that: After obtaining the performance evaluation data set corresponding to each instrument service unit, the method further includes: Based on the performance appraisal data set corresponding to each instrument service unit, a graph is obtained that can respectively reflect the performance data comparison of each instrument service unit in different combined time periods.

10. An instrument service unit instrument usage performance evaluation system, based on an instrument service unit instrument usage performance evaluation method according to any one of claims 1 to 9, characterized in that: include: A division module divides the preset time length based on the unit time length to obtain multiple unit time periods; A first acquisition module acquires a first assessment indicator data set corresponding to each instrument service unit, wherein the first assessment indicator data set includes assessment indicator data corresponding to each instrument service unit in multiple unit time periods; A combination module, based on the first assessment indicator data set corresponding to each instrument service unit, obtains assessment indicator data distribution information corresponding to each of the multiple unit time periods, which can reflect the overall distribution of the assessment indicator data of all instrument service units, and combines the multiple unit time periods based on the assessment indicator data distribution information corresponding to each of the multiple unit time periods to obtain multiple combined time periods; A second acquisition module acquires a second assessment indicator data set corresponding to each instrument service unit based on the unit time period combination corresponding to each of the multiple combined time periods and the first assessment indicator data set corresponding to each instrument service unit, wherein the second assessment indicator data set includes the assessment indicator data corresponding to each instrument service unit in the multiple combined time periods; A third acquisition module, based on the superior-inferior solution distance method and the second assessment indicator data set corresponding to each instrument service unit, acquires a performance assessment data set corresponding to each instrument service unit, wherein the performance assessment data set includes performance data corresponding to each instrument service unit in multiple combined time periods; The fourth acquisition module acquires the performance evaluation results corresponding to each instrument service unit based on the superior and inferior solution distance method and the performance evaluation data set corresponding to each instrument service unit.

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