Personnel management method, device and equipment for safety production of power plant, storage medium and product

Abstract

The invention relates to the technical field of intelligent power plants, in particular to a power plant safety production personnel management method and device, equipment, a storage medium and a product. Determining an assessment data extreme value corresponding to each assessment index in the assessment data set; performing forward processing and standardization processing on the assessment data set according to the category of the assessment data and the assessment data extreme value to obtain a target assessment data matrix; scoring assessment is carried out based on the target assessment data matrix, a comprehensive assessment result of each user is obtained, the influence of data isolation of the users in different power plant production environments on assessment scoring is reduced, the data processing efficiency in the assessment scoring process is improved, the personnel assessment effect in the power plant safety production process is improved, and the user experience is improved. The technical problems that in the prior art, in the safety production process of a power plant, the workload of personnel management assessment is large, data isolation exists, and the assessment effect is poor are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart power plants, and in particular to personnel management methods, devices, equipment, storage media and products for safe production in power plants. Background Art

[0002] In the process of assessing each staff member in a power plant, a lot of effort is often needed to integrate the assessment data and evaluation indicators of employees in different types of work and in different assessment environments. In particular, with the issuance and implementation of various systems, there are more detailed assessment divisions for different categories of staff. For example, inspectors, operators, and electrical engineers face different environments, resulting in isolation of assessment data between staff members of different types of work when using the same assessment system, and poor assessment results.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a personnel management method, device, equipment, storage medium and product for power plant safety production, aiming to solve the technical problems in the prior art that the workload of personnel management assessment in the safety production process of power plants is large, and there is data isolation, resulting in poor assessment results.

[0005] To achieve the above object, the present invention provides a personnel management method for power plant production safety, the method comprising the following steps:

[0006] Periodically obtain users' assessment data sets in different power plant production environments;

[0007] Determine the extreme values ​​of the assessment data corresponding to various assessment indicators in the assessment data set;

[0008] Performing forward processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix;

[0009] Based on the target assessment data matrix, a scoring assessment is performed to obtain a comprehensive assessment result for each user.

[0010] Optionally, performing forward processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix includes:

[0011] Determine the indicator characteristics corresponding to the category of each assessment data in the assessment data set through the assessment indicator dictionary of the production environment of each power plant;

[0012] Based on the conversion strategy corresponding to the indicator characteristics of each data category, all data in the assessment data set are converted into assessment data of a unified category to obtain the assessment data set to be processed;

[0013] The assessment data extreme value and the assessment data set to be processed are standardized to generate a target assessment data matrix.

[0014] Optionally, the indicator characteristics include at least an extremely large indicator, an extremely small indicator, an intermediate indicator, and an interval indicator;

[0015] The conversion strategy corresponding to the indicator characteristics of each data category converts all data in the assessment data set into assessment data of a unified category to obtain the assessment data set to be processed, including:

[0016] The assessment data corresponding to the extremely small index is converted into the assessment data of the extremely large index by using the first conversion formula, wherein the first conversion formula is:

[0017]

[0018] Among them, xij` is the assessment data of the extremely large indicator after conversion from the extremely small indicator, and xij is the assessment data of the extremely small indicator before conversion;

[0019] The assessment data corresponding to the intermediate indicator is converted into the assessment data of the extremely large indicator through the second conversion formula, wherein the second conversion formula is:

[0020]

[0021] Among them, xij`` is the assessment data of the extremely large index after conversion from the intermediate index, xij is the assessment data of the intermediate index before conversion, xbest is the ideal assessment data, and M is the maximum value of the difference between the ideal assessment data and each assessment data;

[0022] The assessment data corresponding to the interval-type indicator is converted into the assessment data of the extremely large indicator through the third conversion formula, wherein the third conversion formula is:

[0023]

[0024] Among them, xij``` is the assessment data of the extremely large indicator after conversion from the interval-type indicator, xij is the assessment data of the interval-type indicator before conversion, a and b are the maximum and minimum values ​​of the ideal assessment data interval, and M is the maximum value of the difference between the ideal assessment data and each assessment data.

[0025] Optionally, the step of performing standardization processing on the assessment data extreme value and the assessment data set to be processed to generate a target assessment data matrix includes:

[0026] Dividing the upper and lower limits of the assessment data set to be processed according to the extreme values ​​of the assessment data;

[0027] Each of the assessment data to be processed in the assessment data set to be processed is scored according to the standard values ​​corresponding to the upper and lower limits.

[0028] Optionally, the scoring and assessment are performed based on the target assessment data matrix to obtain a comprehensive assessment result of each user, including:

[0029] Determine the maximum assessment data and the minimum assessment data of each category of assessment indicators in the target assessment data matrix;

[0030] Each assessment data in the target assessment data matrix is ​​scored and assessed based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result for each user.

[0031] Optionally, the scoring and assessing each assessment data in the target assessment data matrix based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result of each user includes:

[0032] Determine the weight ratio corresponding to each assessment indicator in the target assessment data matrix;

[0033] Determine an upper limit of the assessment score based on the maximum assessment data, and determine a lower limit of the assessment score based on the minimum assessment data;

[0034] Divide the assessment score upper limit and the assessment score lower limit into equal parts to obtain multiple assessment score intervals;

[0035] Determine the candidate score according to the assessment score interval of each assessment data in the target assessment data matrix;

[0036] A comprehensive assessment result for each user is obtained based on the weight ratio and the candidate scores corresponding to each assessment indicator of each user.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also proposes a personnel management device for power plant safety production, the personnel management device for power plant safety production comprising:

[0038] The acquisition module is used to periodically acquire the assessment data sets of users in different power plant production environments;

[0039] A determination module, used to determine the extreme values ​​of the assessment data corresponding to various assessment indicators in the assessment data set;

[0040] A processing module, used for performing positive processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix;

[0041] The assessment module is used to perform scoring assessment based on the target assessment data matrix to obtain a comprehensive assessment result for each user.

[0042] In addition, to achieve the above-mentioned purpose, the present invention also proposes a personnel management device for power plant safety production, the personnel management device for power plant safety production comprising: a memory, a processor, and a personnel management program for power plant safety production stored in the memory and executable on the processor, the personnel management program for power plant safety production being configured to implement the steps of the personnel management method for power plant safety production as described above.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a personnel management program for power plant safety production is stored. When the personnel management program for power plant safety production is executed by a processor, the steps of the personnel management method for power plant safety production as described above are implemented.

[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the personnel management method for power plant safety production as described above are implemented.

[0045] One or more technical solutions proposed in the present invention have at least the following technical effects: the present invention periodically obtains assessment data sets of users in different power plant production environments; determines the assessment data extreme values ​​corresponding to various assessment indicators in the assessment data sets; performs positive processing and standardization processing on the assessment data sets according to the categories of the assessment data and the assessment data extreme values ​​to obtain a target assessment data matrix; performs scoring and assessment based on the target assessment data matrix to obtain a comprehensive assessment result of each user, thereby reducing the impact of data isolation of users in different power plant production environments on assessment scoring, improving data processing efficiency in the assessment and scoring process, and improving the personnel assessment effect in the power plant's safe production process, avoiding the technical problems in the prior art that the workload of personnel management and assessment in the power plant's safe production process is large and data isolation exists, resulting in poor assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0048] Figure 1 It is a structural schematic diagram of a personnel management device for power plant safety production in a hardware operating environment involved in an embodiment of the present invention;

[0049] Figure 2 A schematic flow chart of a first embodiment of a personnel management method for power plant safety production according to the present invention;

[0050] Figure 3 A schematic flow chart of a second embodiment of a personnel management method for power plant safety production according to the present invention;

[0051] Figure 4 A schematic flow chart of a third embodiment of a personnel management method for power plant safety production according to the present invention;

[0052] Figure 5 This is a structural block diagram of the first embodiment of the personnel management device for power plant safety production of the present invention.

[0053] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0055] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0056] Based on this, the embodiment of the present invention provides a personnel management method for power plant safety production, referring to Figure 1 , Figure 1 The figure is a flow chart of a first embodiment of a personnel management method for power plant safety production according to the present invention.

[0057] In this embodiment, the personnel management method for power plant production safety includes:

[0058] Step S10: Periodically obtain the user's assessment data set under different power plant production environments.

[0059] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a control computer or a cloud server, etc. The following takes the control computer as an example to illustrate this embodiment and the following embodiments.

[0060] It should be noted that in order to ensure the normal operation of the power plant, it is necessary to formulate corresponding assessment indicators for each type of work in each power plant and conduct assessments in the corresponding environment. However, due to the differences in the assessment environment and assessment difficulty of various employees, there is data isolation between different assessment indicators, resulting in a large workload for integrating the assessment results and poor assessment results.

[0061] Step S20: Determine the extreme values ​​of the assessment data corresponding to each type of assessment indicator in the assessment data set.

[0062] The extreme value of assessment data refers to the optimal value under the evaluation criteria of various assessment indicators. For example, the optimal number of operational errors is 0.

[0063] Step S30: performing forward processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix.

[0064] In this embodiment, the purpose of the positive processing and the normalization processing is to unify the tendency of various types of data, so as to score various types of data from the same dimension and reduce the interference of data with different tendencies in the scoring process.

[0065] Step S40: Perform scoring assessment based on the target assessment data matrix to obtain a comprehensive assessment result for each user.

[0066] During the scoring and assessment, the scores of all users in each category of assessment indicators can be divided according to the maximum and minimum assessment data of each category of assessment indicators processed in the target assessment data matrix. For example, the maximum score is used as the full score for the scoring indicator, and the unqualified score is determined based on the minimum score to achieve the scoring of all users. Finally, the scoring results of various indicators are combined to obtain the comprehensive assessment results of each user.

[0067] This embodiment periodically obtains assessment data sets of users in different power plant production environments; determines the assessment data extreme values ​​corresponding to various assessment indicators in the assessment data sets; performs positive processing and standardization processing on the assessment data sets according to the categories of the assessment data and the assessment data extreme values ​​to obtain a target assessment data matrix; performs scoring and assessment based on the target assessment data matrix to obtain a comprehensive assessment result of each user, thereby reducing the impact of data isolation of users in different power plant production environments on assessment and scoring, improving data processing efficiency in the assessment and scoring process, and improving the personnel assessment effect in the power plant's safe production process, avoiding the technical problems in the prior art that the workload of personnel management and assessment in the power plant's safe production process is large and data isolation exists, resulting in poor assessment results.

[0068] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , step S30, comprising:

[0069] Step S301: Determine the indicator characteristics corresponding to the category of each assessment data in the assessment data set through the assessment indicator dictionary of the production environment of each power plant.

[0070] Step S302: based on the conversion strategy corresponding to the indicator characteristics of each data category, all data in the assessment data set are converted into assessment data of a unified category to obtain the assessment data set to be processed.

[0071] Step S303: performing standardization processing on the assessment data extreme value and the assessment data set to be processed to generate a target assessment data matrix.

[0072] The data dictionary of each power plant production environment records the assessment data, scientific research records, personnel information, date schedule and other information of each power plant production environment. The data dictionary of each power plant production environment can be associated with the user identity file to determine the indicator characteristics of various assessment data.

[0073] In this embodiment, the indicator characteristics include extremely large indicators, extremely small indicators, intermediate indicators, and interval indicators.

[0074] Furthermore, the indicator characteristics include at least very large indicators, very small indicators, intermediate indicators and interval indicators;

[0075] The conversion strategy corresponding to the indicator characteristics of each data category converts all data in the assessment data set into assessment data of a unified category to obtain the assessment data set to be processed, including:

[0076] The assessment data corresponding to the extremely small indicator is converted into the assessment data of the extremely large indicator through a first conversion formula, wherein the first conversion formula is:

[0077]

[0078] Among them, xij` is the assessment data of the extremely large indicator after conversion from the extremely small indicator, and xij is the assessment data of the extremely small indicator before conversion;

[0079] The assessment data corresponding to the intermediate indicator is converted into the assessment data of the extremely large indicator through the second conversion formula, wherein the second conversion formula is:

[0080]

[0081] Among them, xij`` is the assessment data of the extremely large index after conversion from the intermediate index, xij is the assessment data of the intermediate index before conversion, xbest is the ideal assessment data, and M is the maximum value of the difference between the ideal assessment data and each assessment data;

[0082] The assessment data corresponding to the interval-type indicator is converted into the assessment data of the extremely large indicator through the third conversion formula, wherein the third conversion formula is:

[0083]

[0084] Among them, xij``` is the assessment data of the extremely large indicator after conversion from the interval-type indicator, xij is the assessment data of the interval-type indicator before conversion, a and b are the maximum and minimum values ​​of the ideal assessment data interval, and M is the maximum value of the difference between the ideal assessment data and each assessment data.

[0085] In the specific implementation, the extremely large indicator is an indicator with a higher score as the index increases, such as inter-city assessment, etc. The extremely small indicator is an indicator with a higher score as the index decreases, such as the number of user complaints, etc. The intermediate indicator is an indicator with a higher score as the index is closer to a certain value, such as the number of medical consultations per day, etc. The interval indicator is an indicator with a higher score as the index is closer to a certain interval, such as the daily passenger throughput, etc.

[0086] The purpose of converting all types of indicators into extremely large indicators is to unify the scoring so that the scoring can be based on data with the same tendency, and the largest assessment data can be used as the full score data for the item, thereby establishing the scoring basis and improving the accuracy of the scoring.

[0087] The specific formula for standardization is:

[0088]

[0089] Among them, Pij refers to the assessment data set to be processed, and xij is the assessment data of the extremely large indicator after conversion.

[0090] Further, the step of performing standardization processing on the assessment data extreme value and the assessment data set to be processed to generate a target assessment data matrix includes:

[0091] Dividing the upper and lower limits of the assessment data set to be processed according to the extreme values ​​of the assessment data;

[0092] Each of the assessment data to be processed in the assessment data set to be processed is scored according to the standard values ​​corresponding to the upper and lower limits.

[0093] Dividing the upper and lower limits of the assessment data set to be processed based on the extreme values ​​of the assessment data means fixing the standard value corresponding to the maximum value of the assessment data to 1 and the standard value corresponding to the minimum value to 0, thereby mapping other assessment data to be processed to between 0 and 1.

[0094] This embodiment determines the indicator characteristics corresponding to the categories of each assessment data in the assessment data set through the assessment indicator dictionary of the production environment of each power plant; converts all the data in the assessment data set into assessment data of a unified category based on the conversion strategy corresponding to the indicator characteristics of each data category to obtain the assessment data set to be processed; performs standardization processing on the assessment data set to be processed according to the extreme values ​​of the assessment data to generate a target assessment data matrix, and through the positive and standardized processing, the assessment data can be scored based on the same tendency, thereby improving the accuracy of the scoring.

[0095] Based on the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. Figure 3 , step S40, comprising:

[0096] Step S401: Determine the maximum assessment data and the minimum assessment data of each category of assessment indicators in the target assessment data matrix.

[0097] Step S402: scoring and assessing each assessment data in the target assessment data matrix based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result for each user.

[0098] It should be understood that the maximum assessment data and the minimum assessment data of each category of assessment indicators refer to the maximum value and the minimum value of each column in the target assessment data matrix.

[0099] Furthermore, the scoring and assessment of each assessment data in the target assessment data matrix based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result of each user includes:

[0100] Determine the weight ratio corresponding to each assessment indicator in the target assessment data matrix;

[0101] Determine an upper limit of the assessment score based on the maximum assessment data, and determine a lower limit of the assessment score based on the minimum assessment data;

[0102] Divide the assessment score upper limit and the assessment score lower limit into equal parts to obtain multiple assessment score intervals;

[0103] Determine the candidate score according to the assessment score interval of each assessment data in the target assessment data matrix;

[0104] A comprehensive assessment result for each user is obtained based on the weight ratio and the candidate scores corresponding to each assessment indicator of each user.

[0105] In the specific assessment and scoring process, the upper limit of the assessment score is determined based on the maximum assessment data, and the lower limit of the assessment score is determined based on the minimum assessment data, thereby determining the scoring range, and then assigning points to the corresponding score range of each user under the assessment indicator. In this way, each user can be reasonably scored at each indicator level. There is no need to formulate a new scoring system for a job type, and the assessment data of all users of the same job type can be used to reasonably score each user, thereby achieving efficient and accurate scoring and assessment. For users who do not have this assessment indicator, the impact of this score on the overall score is reduced through weighting.

[0106] This embodiment determines the maximum assessment data and the minimum assessment data of each category of assessment indicators in the target assessment data matrix; scores and assesses each assessment data in the target assessment data matrix based on the maximum assessment data and the minimum assessment data, and obtains a comprehensive assessment result for each user, thereby improving the efficiency and accuracy of the scoring and assessment.

[0107] This application also provides a personnel management device for power plant safety production, please refer to Figure 4 , the personnel management device for power plant production safety comprises:

[0108] The acquisition module 10 is used to periodically acquire the assessment data sets of users in different power plant production environments.

[0109] The determination module 20 is used to determine the extreme values ​​of the assessment data corresponding to each type of assessment indicator in the assessment data set.

[0110] The processing module 30 is used to perform forward processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix.

[0111] The assessment module 40 is used to perform scoring assessment based on the target assessment data matrix to obtain a comprehensive assessment result for each user.

[0112] This embodiment periodically obtains assessment data sets of users in different power plant production environments; determines the assessment data extreme values ​​corresponding to various assessment indicators in the assessment data sets; performs positive processing and standardization processing on the assessment data sets according to the categories of the assessment data and the assessment data extreme values ​​to obtain a target assessment data matrix; performs scoring and assessment based on the target assessment data matrix to obtain a comprehensive assessment result of each user, thereby reducing the impact of data isolation of users in different power plant production environments on assessment and scoring, improving data processing efficiency in the assessment and scoring process, and improving the personnel assessment effect in the power plant's safe production process, avoiding the technical problems in the prior art that the workload of personnel management and assessment in the power plant's safe production process is large and data isolation exists, resulting in poor assessment results.

[0113] In one embodiment, the processing module 30 is also used to determine the indicator characteristics corresponding to the category of each assessment data in the assessment data set through the assessment indicator dictionary of each power plant production environment; based on the conversion strategy corresponding to the indicator characteristics of each data category, all data in the assessment data set are converted into assessment data of a unified category to obtain an assessment data set to be processed; and the assessment data set to be processed is standardized according to the extreme values ​​of the assessment data to generate a target assessment data matrix.

[0114] In one embodiment, the processing module 30 is further used to convert the assessment data corresponding to the extremely small indicator into the assessment data of the extremely large indicator through a first conversion formula, wherein the first conversion formula is:

[0115]

[0116] Among them, xij` is the assessment data of the extremely large indicator after conversion from the extremely small indicator, and xij is the assessment data of the extremely small indicator before conversion;

[0117] The assessment data corresponding to the intermediate indicator is converted into the assessment data of the extremely large indicator through the second conversion formula, wherein the second conversion formula is:

[0118]

[0119] Among them, xij`` is the assessment data of the extremely large index after conversion from the intermediate index, xij is the assessment data of the intermediate index before conversion, xbest is the ideal assessment data, and M is the maximum value of the difference between the ideal assessment data and each assessment data;

[0120] The assessment data corresponding to the interval-type indicator is converted into the assessment data of the extremely large indicator through the third conversion formula, wherein the third conversion formula is:

[0121]

[0122] Among them, xij``` is the assessment data of the extremely large indicator after conversion from the interval-type indicator, xij is the assessment data of the interval-type indicator before conversion, a and b are the maximum and minimum values ​​of the ideal assessment data interval, and M is the maximum value of the difference between the ideal assessment data and each assessment data.

[0123] In one embodiment, the acquisition module 10 is further used to divide the upper and lower limits of the assessment data set to be processed according to the extreme values ​​of the assessment data; and assign points to each assessment data to be processed in the assessment data set to be processed according to the standard values ​​corresponding to the upper and lower limits.

[0124] In one embodiment, the assessment module 40 is also used to determine the maximum assessment data and the minimum assessment data of each category of assessment indicators in the target assessment data matrix; based on the maximum assessment data and the minimum assessment data, each assessment data in the target assessment data matrix is ​​scored and assessed to obtain a comprehensive assessment result for each user.

[0125] In one embodiment, the assessment module 40 is further used to determine the weight ratio corresponding to each assessment indicator in the target assessment data matrix; determine the upper limit of the assessment score based on the maximum assessment data, and determine the lower limit of the assessment score based on the minimum assessment data; divide the upper limit of the assessment score and the lower limit of the assessment score equally to obtain multiple assessment score intervals; determine candidate scores according to the assessment score intervals in which each assessment data in the target assessment data matrix is ​​located; and obtain the comprehensive assessment results of each user based on the weight ratio and the candidate scores corresponding to each assessment indicator of each user.

[0126] The present application provides a personnel management device for power plant safety production, the personnel management device for power plant safety production comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the personnel management method for power plant safety production in the above-mentioned embodiment one.

[0127] Reference below Figure 5, which shows a schematic diagram of the structure of a personnel management device for power plant safety production suitable for implementing the embodiment of the present application. The personnel management device for power plant safety production in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The personnel management device for power plant safety production shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0128] like Figure 5 As shown, the personnel management device for power plant safety production may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the personnel management device for power plant safety production are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the personnel management device for power plant safety production to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a personnel management device for power plant safety production with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0129] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0130] The personnel management device for power plant safety production provided by the present application adopts the personnel management method for power plant safety production in the above-mentioned embodiment, and can solve the technical problem of personnel management for power plant safety production. Compared with the prior art, the beneficial effects of the personnel management device for power plant safety production provided by the present application are the same as the beneficial effects of the personnel management method for power plant safety production provided by the above-mentioned embodiment, and other technical features in the personnel management device for power plant safety production are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0131] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0132] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0133] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, the computer-readable program instructions being used to execute the personnel management method for power plant safety production in the above-mentioned embodiment.

[0134] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0135] The computer-readable storage medium may be included in the personnel management device for power plant safety production; or may exist independently without being assembled into the personnel management device for power plant safety production.

[0136] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the personnel management device for power plant safety production, the personnel management device for power plant safety production enables: personnel management for power plant safety production.

[0137] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0138] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0139] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0140] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned personnel management method for power plant safety production, and can solve the technical problems of personnel management for power plant safety production. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the personnel management method for power plant safety production provided in the above-mentioned embodiment, and will not be repeated here.

[0141] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the personnel management method for power plant safety production as described above.

[0142] The computer program product provided in this application can solve the technical problem of personnel management for power plant safety production. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the personnel management method for power plant safety production provided in the above embodiment, and will not be repeated here.

[0143] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A personnel management method for power plant production safety, characterized in that: The personnel management method for power plant production safety includes: Periodically obtain users' assessment data sets in different power plant production environments; Determine the extreme values ​​of the assessment data corresponding to various assessment indicators in the assessment data set; Performing forward processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix; Based on the target assessment data matrix, a scoring assessment is performed to obtain a comprehensive assessment result for each user.

2. The method according to claim 1, characterized in that The step of performing positive processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix includes: Determine the indicator characteristics corresponding to the category of each assessment data in the assessment data set through the assessment indicator dictionary of the production environment of each power plant; Based on the conversion strategy corresponding to the indicator characteristics of each data category, all data in the assessment data set are converted into assessment data of a unified category to obtain the assessment data set to be processed; The assessment data extreme value and the assessment data set to be processed are standardized to generate a target assessment data matrix.

3. The method according to claim 2, characterized in that The characteristics of the indicators include at least very large indicators, very small indicators, intermediate indicators and interval indicators; The conversion strategy corresponding to the indicator characteristics of each data category converts all data in the assessment data set into assessment data of a unified category to obtain the assessment data set to be processed, including: The assessment data corresponding to the extremely small index is converted into the assessment data of the extremely large index by using the first conversion formula, wherein the first conversion formula is: Among them, x ij ` is the assessment data of the extremely large index converted from the extremely small index, x ij It is the assessment data of the extremely small index before conversion; The assessment data corresponding to the intermediate indicator is converted into the assessment data of the extremely large indicator through the second conversion formula, wherein the second conversion formula is: Among them, x ij `` is the assessment data of the extremely large index after conversion from the intermediate index, x ij is the assessment data of the intermediate indicators before conversion, x best is the ideal assessment data, M is the maximum value of the difference between the ideal assessment data and each assessment data; The assessment data corresponding to the interval-type indicator is converted into the assessment data of the extremely large indicator through the third conversion formula, wherein the third conversion formula is: Among them, x ij ``` is the assessment data of the extremely large index converted from the interval index, x ij is the assessment data of the interval indicator before conversion, a and b are the maximum and minimum values ​​of the ideal assessment data interval, and M is the maximum value of the difference between the ideal assessment data and each assessment data.

4. The method according to claim 2, characterized in that The step of performing standardization processing on the assessment data extreme value and the assessment data set to be processed to generate a target assessment data matrix includes: Dividing the upper and lower limits of the assessment data set to be processed according to the extreme values ​​of the assessment data; Each of the assessment data to be processed in the assessment data set to be processed is scored according to the standard values ​​corresponding to the upper and lower limits.

5. The method according to any one of claims 1 to 3, characterized in that The scoring and assessment are performed based on the target assessment data matrix to obtain the comprehensive assessment results of each user, including: Determine the maximum assessment data and the minimum assessment data of each category of assessment indicators in the target assessment data matrix; Each assessment data in the target assessment data matrix is ​​scored and assessed based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result for each user.

6. The method according to claim 5, characterized in that The step of scoring and assessing each assessment data in the target assessment data matrix based on the maximum assessment data and the minimum assessment data to obtain a comprehensive assessment result for each user includes: Determine the weight ratio corresponding to each assessment indicator in the target assessment data matrix; Determine an upper limit of the assessment score based on the maximum assessment data, and determine a lower limit of the assessment score based on the minimum assessment data; Divide the assessment score upper limit and the assessment score lower limit into equal parts to obtain multiple assessment score intervals; Determine the candidate score according to the assessment score interval of each assessment data in the target assessment data matrix; A comprehensive assessment result for each user is obtained based on the weight ratio and the candidate scores corresponding to each assessment indicator of each user.

7. A personnel management device for power plant production safety, characterized in that: The personnel management device for power plant production safety comprises: The acquisition module is used to periodically acquire the assessment data sets of users in different power plant production environments; A determination module, used to determine the extreme values ​​of the assessment data corresponding to various assessment indicators in the assessment data set; A processing module, used for performing positive processing and standardization processing on the assessment data set according to the category of the assessment data and the extreme value of the assessment data to obtain a target assessment data matrix; The assessment module is used to perform scoring assessment based on the target assessment data matrix to obtain a comprehensive assessment result for each user.

8. A personnel management device for power plant production safety, characterized in that: The personnel management device for power plant safety production includes: a memory, a processor, and a personnel management program for power plant safety production stored in the memory and executable on the processor, wherein the personnel management program for power plant safety production is configured to implement the steps of the personnel management method for power plant safety production as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a personnel management program for power plant safety production, and when the personnel management program for power plant safety production is executed by the processor, the steps of the personnel management method for power plant safety production as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the personnel management method for power plant safety production according to any one of claims 1 to 6 are implemented.

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