Performance automatic assessment system and method

Abstract

The invention discloses an automatic performance assessment system and method, and relates to the technical field of automatic assesses.The automatic performance assessment system comprises an assessment information acquisition module, an assessment analysis module, a performance rating module and a local database. Behaviors and voice texts of all equipment maintenance personnel are analyzed, so that the performance of the equipment maintenance personnel is evaluated in the performance assessment process; whether the customer satisfaction is reasonable and whether the equipment maintenance personnel have behavior threat or language induction are judged according to the customer satisfaction information, so that the rationality of the customer satisfaction is guaranteed, whether work indexes are completed or not is emphasized during performance assessment, and the progress of the customer satisfaction and the equipment maintenance personnel is emphasized, so that the accuracy of performance assessment is guaranteed, and the efficiency of performance assessment is improved. And the enthusiasm of equipment maintenance personnel is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic assessment, and particularly relates to a performance automatic assessment system and method. Background Art

[0002] When employees perform outdoor equipment maintenance, traditional performance assessment methods may not comprehensively and accurately reflect employees' work performance and contributions. They overly focus on certain aspects of indicators while ignoring other important work contents, which may lead to employees neglecting the overall development of their work in pursuit of assessment results. Moreover, traditional performance assessment methods are too subjective during evaluation. Therefore, it is necessary to conduct intelligent and comprehensive automatic assessment of employees' performance.

[0003] The prior art, such as a performance assessment method, system, terminal, and storage medium for automatically matching indicators disclosed in the invention patent application with publication number CN116579671B, includes: obtaining the personnel information and performance data of the person to be assessed, and matching the indicator allocation type according to the personnel information; processing the obtained performance data to obtain the performance data to be assessed; processing the performance data to be assessed through a performance assessment model to obtain a performance assessment result, and storing the performance assessment result in a pre-constructed assessment result library. This application has the effect of greatly improving the performance assessment efficiency without having to match the corresponding assessment indicators one by one according to the personnel information of the assessors and then determining specific algorithms according to the assessment indicators.

[0004] The prior art, such as a task performance system, method, device, and storage medium disclosed in the invention patent application with publication number CN114662996B, includes: a result type acquisition module for acquiring result type information, where the result type information is associated with functions, and the result type information includes at least one assessment item, at least one feedback item, an assessment item scoring formula, and a feedback item scoring formula; a task management module for acquiring tasks; a result association module for acquiring a result package according to the result type information and associating the result package with the tasks; a performance module for acquiring the performance result of the tasks according to the result package. The present invention can perform automatic performance according to the data in the business system, improving the performance efficiency and reducing the error rate of performance.

[0005] In view of the above solutions, the current performance automatic assessment system lacks certain attention to the intelligent evaluation and analysis of the customer satisfaction of equipment maintenance personnel. When equipment maintenance personnel receive customer requests and perform outdoor equipment maintenance, they often communicate with customers, sometimes inducing or threatening customers to ensure their customer satisfaction, resulting in the distortion of the customer satisfaction of equipment maintenance personnel, thus unable to correctly assess employees' performance. Moreover, traditional performance assessment methods often overly emphasize whether work indicators are completed while ignoring the progress of equipment maintenance personnel, thereby reducing the enthusiasm of equipment maintenance personnel. Summary of the Invention

[0006] The object of the present invention is to provide an automatic performance assessment system and method, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect of the present invention, an automatic performance assessment system is provided, including: an assessment information acquisition module, which is used to obtain the voice information, video recordings of each equipment maintenance personnel during each maintenance work, and the customer satisfaction characteristic values after each maintenance work during the current performance assessment period.

[0008] An assessment analysis module, which is used to evaluate the voice harshness coefficient of each equipment maintenance personnel, analyze the behavior harshness coefficient of each equipment maintenance personnel, and calculate the work index completion coefficient of each equipment maintenance personnel.

[0009] A performance rating module, which is used to evaluate the business progress compensation coefficient of each equipment maintenance personnel, analyze the performance assessment score level of each equipment maintenance personnel, and send it to the assessment responsible person of each equipment maintenance personnel.

[0010] In the second aspect of the present invention, an automatic performance assessment method for the above-mentioned automatic performance assessment system is provided, including: Step 1. Assessment information acquisition: Obtain the voice information, video recordings of each equipment maintenance personnel during each maintenance work, and the customer satisfaction characteristic values after each maintenance work during the current performance assessment period.

[0011] Step 2. Assessment analysis: Evaluate the voice harshness coefficient of each equipment maintenance personnel, analyze the behavior harshness coefficient of each equipment maintenance personnel, and calculate the work index completion coefficient of each equipment maintenance personnel.

[0012] Step 3. Performance rating: Evaluate the business progress compensation coefficient of each equipment maintenance personnel, analyze the performance assessment score level of each equipment maintenance personnel, and send it to the assessment responsible person of each equipment maintenance personnel.

[0013] The beneficial effects of the present invention are as follows: (1) The assessment information acquisition module of the present invention facilitates subsequent analysis by obtaining the performance information of each equipment maintenance personnel.

[0014] (2) The assessment analysis module of the present invention judges whether the customer satisfaction is reasonable and whether there are behavior threats or language inductions from the equipment maintenance personnel during the performance assessment by analyzing the behaviors and voice texts of each equipment maintenance personnel, thereby ensuring the rationality of the customer satisfaction.

[0015] (3) The performance rating module of the present invention, when conducting performance appraisals, not only pays attention to whether work indicators are completed, but also values customer satisfaction and the progress of equipment maintenance personnel, thereby ensuring the accuracy of performance appraisals and improving the enthusiasm of equipment maintenance personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a schematic diagram of the system module of the present invention.

[0018] Figure 2 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0020] Referring to Figure 1 As shown, the present invention provides a performance automatic assessment system, including: an assessment information acquisition module, an assessment analysis module, a performance rating module, and a local database.

[0021] It should be noted that the assessment information acquisition module is connected to the assessment analysis module, the assessment analysis module is connected to the performance rating module, and the local database is connected to the assessment information acquisition module, the assessment analysis module, and the performance rating module.

[0022] It should also be noted that the local database is used to store the customer satisfaction characteristic values of each equipment maintenance personnel after each maintenance work, each induced voice text, each threatening voice text, the work clothing images, the number of maintenance work indicators and the number of maintenance work of each equipment maintenance personnel, the behavior satisfaction decrease values corresponding to each behavior severity coefficient interval, the voice satisfaction decrease values corresponding to each voice severity coefficient interval, the number of maintenance work and the number of maintenance work indicators of each equipment maintenance personnel in each historical performance assessment cycle, the work indicator completion coefficient adjustment values corresponding to each business progress compensation coefficient interval, and the performance assessment rating levels corresponding to each performance assessment score coefficient interval.

[0023] The assessment information acquisition module is used to acquire the voice information, video recordings of each equipment maintenance personnel during each maintenance work, and the customer satisfaction characteristic values after each maintenance work in the current performance assessment period.

[0024] In a specific embodiment, the method for acquiring the voice information, video recordings of each equipment maintenance personnel during each maintenance work, and the customer satisfaction characteristic values after each maintenance work is as follows: through the on-site work recorders of each equipment maintenance personnel, the voice information and video recordings of each equipment maintenance personnel during each maintenance work are acquired, and after each maintenance work, the customer conducts a satisfaction rating and stores it in the local database, so as to obtain the customer satisfaction characteristic values of each equipment maintenance personnel after each maintenance work from the local database.

[0025] The assessment information acquisition module of the present invention facilitates subsequent analysis by acquiring the performance information of each equipment maintenance personnel.

[0026] The assessment analysis module is used to evaluate the voice harshness coefficient of each equipment maintenance personnel, analyze the behavior harshness coefficient of each equipment maintenance personnel, and calculate the work index completion coefficient of each equipment maintenance personnel.

[0027] In a specific embodiment of the present invention, the method for evaluating the voice harshness coefficient of each equipment maintenance personnel is as follows: based on the voice information of each equipment maintenance personnel during each maintenance work, the voice information text of each equipment maintenance personnel during each maintenance work is extracted.

[0028] Each induced voice text is obtained from the local database, and it is judged whether the voice information text of each equipment maintenance personnel during each maintenance work appears in each induced voice text, so as to calculate the voice induction coefficient of each equipment maintenance personnel.

[0029] Each threatening voice text is obtained from the local database, and according to the method for calculating the voice induction coefficient of each equipment maintenance personnel, the voice threat coefficient of each equipment maintenance personnel is calculated.

[0030] The voice induction coefficient and voice threat coefficient of each equipment maintenance personnel are added together to obtain the voice harshness coefficient of each equipment maintenance personnel.

[0031] In a specific embodiment of the present invention, the method for calculating the voice induction coefficient of each equipment maintenance personnel is as follows: By using voice text comparison technology, the voice information text of each equipment maintenance personnel during each maintenance work is compared with each induction voice text. If the voice information text of a certain equipment maintenance personnel during a certain maintenance work does not appear in any of the induction voice texts, then 0 is used as the voice induction coefficient of this equipment maintenance personnel during this maintenance work; otherwise, 1 is used as the voice induction coefficient of this equipment maintenance personnel during this maintenance work. Thus, the voice induction coefficients of each equipment maintenance personnel during each maintenance work are summarized, and the voice induction coefficients of each equipment maintenance personnel are obtained by cumulative addition based on this.

[0032] In a specific embodiment, the method for comparing the voice information text of each equipment maintenance personnel during each maintenance work with each induction voice text is as follows: Existing voice text comparison technology is already relatively mature, so the voice information text of each equipment maintenance personnel during each maintenance work can be compared with each induction voice text.

[0033] In a specific embodiment of the present invention, the method for analyzing the behavior severity coefficient of each equipment maintenance personnel is as follows: Based on the video recordings of each equipment maintenance personnel during each maintenance work, each video image of each equipment maintenance personnel during each maintenance work is extracted, and the work clothing hazard coefficient β of each equipment maintenance personnel is calculated accordingly. x , where x represents the number of each equipment maintenance personnel, x = 1, 2,..., y, and y is a positive integer greater than 2.

[0034] Through the dangerous action detection method, it is judged whether each equipment maintenance personnel has dangerous actions during each maintenance work. If a certain equipment maintenance personnel has dangerous actions during a certain maintenance work, then 1 is used as the behavior danger coefficient of this equipment maintenance personnel during this maintenance work; otherwise, 0 is used as the behavior danger coefficient of this equipment maintenance personnel during this maintenance work. Thus, the behavior danger coefficients δ of each equipment maintenance personnel during each maintenance work are statistically calculated. xn , where n represents the number of each equipment maintenance personnel, n = 1, 2,..., m, and m is a positive integer greater than 2.

[0035] Calculate the behavior severity coefficient of each equipment maintenance personnel. where e represents the natural constant.

[0036] In a specific embodiment, the method for judging whether each equipment maintenance personnel has dangerous actions during each maintenance work is as follows: Existing dangerous action detection methods are already relatively mature, so it can be judged whether each equipment maintenance personnel has dangerous actions during each maintenance work.

[0037] In a specific embodiment of the present invention, the method for calculating the work clothing hazard coefficient of each equipment maintenance personnel is as follows: obtain the work clothing images from the local database, and through image comparison technology, determine whether there is normal work clothing in each video image of each equipment maintenance personnel during each maintenance work. If a certain equipment maintenance personnel does not have normal work clothing in a certain video image during a certain maintenance work, mark this video image as an abnormal work clothing video image, so as to screen out the abnormal work clothing video images of each equipment maintenance personnel during each maintenance work, and count the number a of abnormal work clothing video images of each equipment maintenance personnel during each maintenance work xn 。

[0038] According to each video image of each equipment maintenance personnel during each maintenance work, count the number b of video images of each equipment maintenance personnel during each maintenance work xn and calculate the work clothing hazard coefficient of each equipment maintenance personnel

[0039] In a specific embodiment of the present invention, the method for calculating the work index completion coefficient of each equipment maintenance personnel is as follows: calculate the satisfaction high-quality coefficient φ of each equipment maintenance personnel according to the behavior bad coefficient, voice bad coefficient and customer satisfaction characteristic value after each maintenance work of each equipment maintenance personnel x 。

[0040] Obtain the number g of maintenance work indexes of each equipment maintenance personnel from the local database x and the number h of maintenance works x and calculate the work index completion coefficient of each equipment maintenance personnel

[0041] In a specific embodiment of the present invention, the method for calculating the satisfaction high-quality coefficient of each equipment maintenance personnel is as follows: obtain the behavior satisfaction decrease value corresponding to each behavior bad coefficient interval from the local database, and map according to the behavior bad coefficient of each equipment maintenance personnel to obtain the behavior satisfaction decrease value c of each equipment maintenance personnel x 。

[0042] Obtain the voice satisfaction decrease value corresponding to each voice bad coefficient interval from the local database, and map according to the voice bad coefficient of each equipment maintenance personnel to obtain the voice satisfaction decrease value d of each equipment maintenance personnel x 。

[0043] According to the customer satisfaction characteristic value f of each equipment maintenance personnel after each maintenance work xn , calculate the satisfaction high-quality coefficient of each equipment maintenance personnel where m represents the number of maintenance works

[0044] It should be noted that the greater the coefficient of bad behavior, the greater the corresponding decrease in behavior satisfaction.

[0045] It should be noted that the greater the coefficient of bad voice, the greater the corresponding decrease in voice satisfaction.

[0046] The assessment and analysis module of the present invention analyzes the behaviors and voice texts of each equipment maintenance personnel, so as to judge whether the customer satisfaction is reasonable during performance appraisal, and whether there are behavior threats or language inductions from the equipment maintenance personnel, thereby ensuring the reasonableness of customer satisfaction.

[0047] The performance rating module is used to evaluate the business progress compensation coefficient of each equipment maintenance personnel, analyze the performance appraisal score level of each equipment maintenance personnel, and send it to the assessment responsible person of each equipment maintenance personnel.

[0048] In a specific embodiment of the present invention, the method for specifically evaluating the business progress compensation coefficient of each equipment maintenance personnel is as follows: obtain the number of maintenance work times k of each equipment maintenance personnel in each historical performance appraisal cycle from the local database xi and the number of maintenance work index times l xi , where i represents the number of each equipment maintenance personnel, i = 1, 2,..., j, and j is a positive integer greater than 2.

[0049] According to the number of maintenance work index times g x and the number of maintenance work times h x of each equipment maintenance personnel, calculate the business progress compensation coefficient of each equipment maintenance personnel where i represents the number of historical performance appraisal cycles.

[0050] In a specific embodiment of the present invention, the method for specifically analyzing the performance appraisal score level of each equipment maintenance personnel is as follows: obtain the adjusted parameter value of the work index completion coefficient corresponding to each business progress compensation coefficient interval from the local database, and extract the adjusted parameter value t of the work index completion coefficient of each equipment maintenance personnel according to the business progress compensation coefficient of each equipment maintenance personnel x .

[0051] According to the work index completion coefficient of each equipment maintenance personnel, calculate the performance appraisal score coefficient

[0052] Obtain the performance appraisal score level corresponding to each performance appraisal score coefficient interval from the local database, so as to extract the performance appraisal score level of each equipment maintenance personnel.

[0053] It should be noted that the greater the business progress compensation coefficient, the greater the corresponding adjusted parameter value of the work index completion coefficient.

[0054] It should be noted that the performance appraisal rating levels are divided into level A, level B, level C, and level D, where level A is greater than level B, level B is greater than level C, and level C is greater than level D.

[0055] The performance rating module of the present invention not only pays attention to whether the work indicators are completed during performance appraisal, but also values customer satisfaction and the progress of equipment maintenance personnel, thereby ensuring the accuracy of performance appraisal and improving the enthusiasm of equipment maintenance personnel.

[0056] Refer to Figure 2 As shown, the second aspect of the present invention provides a performance automatic appraisal method for the performance automatic appraisal system described above, including: Step 1. Obtaining appraisal information: Obtain the voice information, video recordings of each equipment maintenance personnel during each maintenance work, and the customer satisfaction characteristic values after each maintenance work during the current performance appraisal period.

[0057] Step 2. Appraisal analysis: Evaluate the voice severity coefficient of each equipment maintenance personnel, analyze the behavior severity coefficient of each equipment maintenance personnel, and calculate the work indicator completion coefficient of each equipment maintenance personnel.

[0058] Step 3. Performance rating: Evaluate the business progress compensation coefficient of each equipment maintenance personnel, analyze the performance appraisal rating level of each equipment maintenance personnel, and send it to the appraisal person in charge of each equipment maintenance personnel.

[0059] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An automatic performance appraisal system, characterized in that: include: The assessment information acquisition module is used to obtain the voice information, video recordings and customer satisfaction characteristic values ​​of each equipment maintenance personnel during each maintenance work and after each maintenance work in the current performance assessment cycle; The assessment and analysis module is used to evaluate the bad voice coefficient of each equipment maintenance personnel, analyze the bad behavior coefficient of each equipment maintenance personnel, and calculate the work indicator completion coefficient of each equipment maintenance personnel; The performance rating module is used to evaluate the business progress compensation coefficient of each equipment maintenance personnel, analyze the performance appraisal score level of each equipment maintenance personnel, and send it to the appraisal person in charge of each equipment maintenance personnel.

2. The automatic performance evaluation system according to claim 1, characterized in that: The specific evaluation method for evaluating the voice badness coefficient of each equipment maintenance personnel is as follows: Based on the voice information of each equipment maintenance personnel when performing each maintenance work, the voice information text of each equipment maintenance personnel when performing each maintenance work is extracted; Obtain each induced voice text from the local database, determine whether each induced voice text appears in the voice information text of each equipment maintenance personnel when performing each maintenance work, and thus calculate the voice induction coefficient of each equipment maintenance personnel; Acquire each threatening voice text from the local database, and calculate the voice threat coefficient of each equipment maintenance personnel according to the method of calculating the voice induction coefficient of each equipment maintenance personnel; The voice induction coefficient and the voice threat coefficient of each equipment maintenance personnel are added together to obtain the voice badness coefficient of each equipment maintenance personnel.

3. The automatic performance evaluation system according to claim 2, characterized in that: The specific calculation method of calculating the voice induction coefficient of each equipment maintenance personnel is as follows: The voice information text of each equipment maintenance personnel when performing each maintenance work is compared with each induced voice text through the voice-text comparison technology. If the voice information text of a certain equipment maintenance personnel when performing a certain maintenance work does not contain any induced voice text, 0 is used as the voice induction coefficient of the equipment maintenance personnel during the maintenance work. Otherwise, 1 is used as the voice induction coefficient of the equipment maintenance personnel during the maintenance work. The voice induction coefficients of each equipment maintenance personnel during each maintenance work are summarized, and the voice induction coefficient of each equipment maintenance personnel is obtained by adding them up accordingly.

4. The automatic performance evaluation system according to claim 1, characterized in that: The specific analysis method for analyzing the bad behavior coefficient of each equipment maintenance personnel is as follows: Based on the video recordings of each equipment maintenance personnel during each maintenance work, extract each video image of each equipment maintenance personnel during each maintenance work, and calculate the hazard coefficient β of the work clothing of each equipment maintenance personnel based on this. x , where x represents the number of the equipment maintenance personnel, x=1,2,...,y, and y is a positive integer greater than 2; Through the dangerous action detection method, it is judged whether each equipment maintenance personnel has any dangerous actions during each maintenance work. If a certain equipment maintenance personnel has any dangerous actions during a certain maintenance work, 1 is used as the behavior risk coefficient of the equipment maintenance personnel in this maintenance work. Otherwise, 0 is used as the behavior risk coefficient of the equipment maintenance personnel in this maintenance work, so as to calculate the behavior risk coefficient δ of each equipment maintenance personnel in each maintenance work xn , where n represents the number of the equipment maintenance personnel, n = 1, 2, ..., m, and m is a positive integer greater than 2; Calculate the bad behavior coefficient of each equipment maintenance personnel Where e represents a natural constant.

5. The automatic performance evaluation system according to claim 4, characterized in that: The specific calculation method for calculating the hazard coefficient of the work clothing of each equipment maintenance personnel is as follows: Obtain work attire images from the local database, and use image comparison technology to determine whether each equipment maintenance personnel is wearing normal work attire in each video image during each maintenance work. If a certain video image of a certain equipment maintenance personnel during a certain maintenance work is not wearing normal work attire, then mark the video image as a video image of not wearing normal attire, thereby screening each video image of each equipment maintenance personnel not wearing normal attire during each maintenance work, and count the number of video images of each equipment maintenance personnel not wearing normal attire during each maintenance work. xn ; According to the video images of each equipment maintenance personnel during each maintenance work, the number of video images of each equipment maintenance personnel during each maintenance work is counted. xn , calculate the hazard coefficient of the work clothes of each equipment maintenance personnel 6. The automatic performance evaluation system according to claim 4, characterized in that: The specific calculation method for calculating the work index completion coefficient of each equipment maintenance personnel is as follows: According to the bad behavior coefficient, bad voice coefficient and customer satisfaction characteristic value after each maintenance work of each equipment maintenance personnel, the satisfaction quality coefficient φ of each equipment maintenance personnel is calculated. x ; Obtain the maintenance work index number g of each equipment maintenance personnel from the local database x and maintenance work times x , calculate the work index completion coefficient of each equipment maintenance personnel 7. The automatic performance evaluation system according to claim 6, characterized in that: The specific calculation method for calculating the satisfaction quality coefficient of each equipment maintenance personnel is as follows: Obtain the behavior satisfaction decrease value corresponding to each behavior bad coefficient interval from the local database, and map the behavior satisfaction decrease value c of each equipment maintenance personnel according to the behavior bad coefficient of each equipment maintenance personnel. x ; The voice satisfaction reduction value corresponding to each voice badness coefficient interval is obtained from the local database. According to the voice badness coefficient of each equipment maintenance personnel, the voice satisfaction reduction value d of each equipment maintenance personnel is mapped. x ; According to the customer satisfaction characteristic value f of each equipment maintenance personnel after each maintenance work xn , calculate the satisfaction quality coefficient of each equipment maintenance personnel Where m represents the number of maintenance work.

8. The automatic performance evaluation system according to claim 4, characterized in that: The specific evaluation method for evaluating the business progress compensation coefficient of each equipment maintenance personnel is as follows: Obtain the number of maintenance work performed by each equipment maintenance personnel in each historical performance appraisal cycle from the local database xi and maintenance work indicators times xi , where i represents the number of each equipment maintenance personnel, i = 1, 2, ..., j, j is a positive integer greater than 2; According to the maintenance work index number g of each equipment maintenance personnel x and maintenance work times x , calculate the business improvement compensation coefficient of each equipment maintenance personnel Where i represents the number of historical performance appraisal cycles.

9. The automatic performance evaluation system according to claim 4, characterized in that: The specific analysis method for analyzing the performance appraisal score level of each equipment maintenance personnel is as follows: Obtain the work indicator completion coefficient adjustment parameter value corresponding to each business progress compensation coefficient interval from the local database, and extract the work indicator completion coefficient adjustment parameter value t of each equipment maintenance personnel based on the business progress compensation coefficient of each equipment maintenance personnel x ; According to the work index completion coefficient of each equipment maintenance personnel Calculate the performance evaluation score coefficient of each equipment maintenance personnel The performance appraisal scoring level corresponding to each performance appraisal scoring coefficient interval is obtained from the local database, thereby extracting the performance appraisal scoring level of each equipment maintenance personnel.

10. An automatic performance evaluation method for executing an automatic performance evaluation system according to any one of claims 1 to 9, characterized in that: include: Step 1. Acquisition of assessment information: During the performance assessment cycle, the voice information, video recordings and customer satisfaction characteristic values ​​of each equipment maintenance personnel during each maintenance work are acquired; Step 2. Assessment and analysis: evaluate the bad voice coefficient of each equipment maintenance personnel, analyze the bad behavior coefficient of each equipment maintenance personnel, and calculate the work indicator completion coefficient of each equipment maintenance personnel; Step 3. Performance rating: Evaluate the business improvement compensation coefficient of each equipment maintenance personnel, analyze the performance appraisal score level of each equipment maintenance personnel, and send it to the appraisal person in charge of each equipment maintenance personnel.

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