Power human resources business data intelligent management and control system

Abstract

The present invention relates to an intelligent management and control system for electric power human resources business data, and belongs to the field of human resources management technology. The intelligent management and control system for electric power human resources business data of the present invention uses a data acquisition module to intermittently capture electric power human resources business data from various electric power human resources business systems, and the data processing and storage module verifies and cleans the data and then stores it by type to form a local database, which solves the problem that data is distributed in different information systems and is difficult to query, and requires manual secondary processing, resulting in inefficiency; at the same time, local businesses such as expert talent management can be carried out based on the local database, so that the expert talent management module can complete the expert talent selection business with a high degree of automation. That is, the local database with comprehensive data and no need for manual secondary processing provides convenient and comprehensive data query services for electric power human resources business management and control, and enhances the automation processing capabilities of business and processes, thereby improving the efficiency and accuracy of electric power human resources management and control.

Description

Technical Field

[0001] The present invention relates to the technical field of human resource management, and in particular to an intelligent management and control system for power human resource business data. Background Art

[0002] With the development of digital construction of human resources in power systems, human resources business management has formed a pattern of relying mainly on superior systems (State Grid ERP, Human Resources 2.0, etc.) and supplemented by local systems. Comprehensive and complete power human resources business data is the basis for the normal operation of the power human resources information system. However, the current professional business data of power human resources are distributed in different systems. Operators need to log in to multiple systems to complete power human resources business operations, resulting in local data query statistics often requiring manual export of data and secondary processing through tools such as Excel. At the same time, some functions of each system cannot meet local business needs, and there are also problems such as inconsistent, incomplete and inaccurate data between systems, resulting in low efficiency and insufficient accuracy in the current power human resources business data management and control.

[0003] Therefore, how to improve the efficiency of power human resources management and control, and improve the accuracy of management and control, is a technical problem that needs to be solved urgently. Summary of the invention

[0004] In view of the above technical problems, the present invention provides an intelligent management and control system for power human resources business data to solve the problem that the existing methods for controlling power human resources business data are low in efficiency and insufficient in accuracy.

[0005] In a first aspect, the present invention provides an intelligent management and control system for power human resources business data, comprising: The data collection module is used to capture power human resources business data from various human resources business systems at set intervals; A data processing and storage module, used to verify and clean the power human resources business data to obtain valid data, and to classify and store the valid data according to data types to form a local database; The expert talent management module is used to complete the expert talent selection according to the local database.

[0006] Optionally, the expert talent selection module includes: The selection plan submission submodule is used to submit the expert selection plan prepared by the expert selection unit to the selection and review unit; The selection scheme review submodule is used for the selection review unit to review the expert selection scheme online; The recommended candidate generation submodule is used to generate a list of matching candidate recommenders after the expert selection plan is reviewed and approved; The candidate qualification review submodule is used for reviewers to conduct online review of the candidate qualifications of each candidate recommender in the candidate recommender list, and to reject candidates who fail the qualification review and give reasons for rejection; The organization and selection submodule is used for the selection unit to conduct expert talent selection for the candidate recommenders who have passed the qualification review, and to reject those who have failed the expert talent selection and provide reasons for the rejection.

[0007] Optionally, the expert talent selection module further includes: The proposed appointment announcement submodule is used to announce the candidates who have passed the expert talent selection offline and online, and to reject the candidates who have not passed the public announcement and give the reasons for the rejection; The appointment and storage submodule is used to perform the appointment operation on the personnel who have passed the public announcement, enter the appointment document number and appointment time of the appointed personnel, and transfer the appointed personnel to the expert database; The display and statistics submodule is used to analyze, display and report the information data of employed experts.

[0008] Optionally, the capturing of power human resources business data from various human resources business systems includes: Part of the electric power human resources business data is automatically acquired through system integration technology, and then the remaining electric power human resources business data is acquired through RAP technology and manual collection.

[0009] Optionally, the data types include organizational data, personnel data, salary data, performance data, training data, and welfare data.

[0010] Optionally, the electric power human resources business data only includes result business data.

[0011] Optionally, the verification and cleaning include: Determine whether there is duplication in the electric power personnel business data, and remove duplicate, invalid and erroneous data in the electric power personnel business data.

[0012] Optionally, the electric power human resources business data intelligent management and control system further includes: The salary management module is used to complete performance-based salary management and auxiliary salary management, and complete automatic salary calculation.

[0013] Optionally, the set interval is one day.

[0014] The above scheme has the following beneficial effects: The electric power personnel business data intelligent management and control system of the present invention uses a data acquisition module to intermittently capture electric power personnel business data from various electric power personnel business systems, and the data processing and storage module verifies and cleans the data and then stores it according to data type classification to form a local database, which solves the problem that the various professional data of electric power personnel are distributed in different information systems, resulting in difficulty in query and the need for manual secondary processing, resulting in low management and control efficiency; at the same time, local businesses such as expert talent management can be carried out based on the local database, so that the expert talent management module can complete the expert talent selection business with a high degree of automation based on the local database. That is, a local database with comprehensive data and no need for manual secondary processing provides convenient and comprehensive data query services for electric power personnel business management and control, and enhances the automation processing capabilities of business and processes, thereby improving the efficiency of electric power personnel management and control, and improving the accuracy of management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of a construction framework of an electric power human resources business data intelligent management and control system provided in the first embodiment of the present invention; Figure 2 This is a technical architecture diagram of a power human resources business data intelligent management and control system provided in the first embodiment of the present invention; Figure 3 It is a structural diagram of an expert talent management module provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] It should be understood that the embodiments set forth below represent the necessary information to enable those skilled in the art to implement the embodiments and illustrate the best mode for implementing the embodiments. After reading the following description in light of the accompanying drawings, those skilled in the art will understand the concepts of the present disclosure and will recognize applications of these concepts not specifically mentioned herein. It should be understood that these concepts and applications fall within the scope of the present disclosure and the appended claims.

[0018] It should also be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, the first element may be referred to as the second element, and similarly, the second element may be referred to as the first element without departing from the scope of the present disclosure. As used herein, the term "and / or" includes any and all combinations of one or more related listed items.

[0019] It should also be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or intervening elements may be present. Conversely, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements.

[0020] It should also be understood that the terms "upper", "lower", "left", "right", "front", "back", "bottom", "middle", "middle", "top", etc. may be used herein to describe various elements, and the indicated orientation or position relationship is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore these elements should not be limited by these terms.

[0021] These terms are only used to distinguish one element from another element. For example, a first element can be referred to as an "upper" element, and similarly, a second element can be referred to as an "upper" element according to the relative orientation of these elements without departing from the scope of the present disclosure.

[0022] It is further understood that the terms “comprises,” “includes,” “including” and / or “comprising” when used herein specify the presence of stated features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0023] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present disclosure belongs. It will be further understood that the terms used herein should be interpreted as having a meaning consistent with their meaning in the context of this specification and the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0024] In the first embodiment, a smart management and control system for power human resources business data is provided.

[0025] like Figure 1 As shown, the construction framework of the electric power human resources business data intelligent management and control system of this embodiment is used. The electric power human resources business data intelligent management and control system of this embodiment extracts and integrates the data scattered in various electric power human resources business systems to form a "human resources picture". After extracting the electric power human resources data of the entire network, it is stored according to unified standards, maintained by the same source and centrally managed, so as to construct a local mirror database that can quickly and conveniently complete the electric power human resources business data management, realize the accurate and fast query, statistics, analysis and sharing of the electric power human resources business data, and support the development and expansion of local electric power human resources business applications, thereby improving the electric power human resources business management and control capabilities.

[0026] like Figure 2 The figure shows the technical architecture diagram of the intelligent management and control system of power human resources business data in this embodiment, which includes the resource layer, data layer, application layer and presentation layer. The resource layer provides a platform foundation for system construction. In this embodiment, the resource layer preferably adopts the Huawei cloud platform, and any other feasible platform can be selected in other embodiments. The data layer extracts the data of each power human resources business-related system and stores it by type for use by various applications in the application layer, and displays it in the presentation layer.

[0027] Based on the technical architecture of this power human resources business data intelligent management and control system, the work flow of the power human resources business data intelligent management and control system of this embodiment is as follows: Step 1: Establish a local source database to store professional business data of human resources; Step 2: Obtain business result data from each HR business system regularly (daily / weekly / monthly) according to the nature of the data through system integration and RPA technology, and store it in the local source database; Step 3: After the HR business data is stored in the local source database, the backend service program verifies and cleans the new data, and stores the valid data by category according to data types such as organization, personnel, salary, performance, training, and benefits, so that the business applications at the application layer can query and call them as needed; Step 4: Based on the classified stored power human resources business data, the business applications at the application layer (such as Figure 2 Expert Talent Application Module).

[0028] By Figure 2 The technical architecture of the system shown in combination with the system workflow can be understood to correspond to the setting of the power human resources business data intelligent management and control system in this embodiment, which includes three major modules: data acquisition module, data processing and storage module, and expert talent management module.

[0029] The data collection module is used to capture power human resources business data from various human resources business systems at set intervals; A data processing and storage module, used to verify and clean the power human resources business data to obtain valid data, and to classify and store the valid data according to data types to form a local database; The expert talent management module is used to complete the expert talent selection according to the local database.

[0030] Among them, various human resources business systems such as Figure 1As shown, it includes but is not limited to the State Grid ERP system, the State Grid Human Resources 2.0 system, the social security digital platform system, the welfare management system and the local system. Verification and cleaning of the power human resources business data means that, considering that the human resources data stored in different power human resources business systems are likely to be repeated, this system will first verify whether the power human resources business data is repeated after extracting it from each power human resources business system, and remove duplicates and erroneous data caused by storage or capture errors to ensure the validity of the data. In addition, this embodiment takes into account that in order to maximize the accuracy of power human resources management and control, it is preferred to set the interval to one day.

[0031] The electric power human resources business data intelligent management and control system of this embodiment adopts system integration and RPA hybrid technology, wherein the data of some electric power human resources systems are automatically obtained through system integration, and the remaining data of some electric power human resources systems that cannot be automatically obtained are obtained through RAP technology and manual operation. The captured electric power human resources data are integrated to form a "human resources one picture". The data focuses on the core element of people, and all electric power human resources-related information of the employee can be queried by the name and number of the person. Based on the "human resources one picture", business processes and functions that meet local management characteristics are developed to improve the innovation and support capabilities of electric power human resources business.

[0032] That is, this technical solution can be understood in terms of a data center. The essence of the solution is to extract and classify information such as organization, personnel, positions, and performance from the ERP system and other systems to form a local power human resources basic database, and to establish a local "lightweight" power human resources full-business data center that only stores the result business data of various power human resources disciplines, and does not store intermediate data. The goal is to have full data coverage and a small amount of data, and to solve the problem that the data of various power human resources disciplines are distributed in different information systems, resulting in difficulty in querying and the need for manual secondary processing. Then, local businesses such as salary management, expert talent management, and so on are carried out with the support of the local power human resources basic database. Among them, salary management can include: performance wages, auxiliary salary management, automatic salary accounting, etc.; expert talent management can include: expert talent selection, evaluation, and personalized indicator management, etc.

[0033] Due to the sensitivity and confidentiality requirements of human resources data, the data of each human resources system is basically in a closed state. Even if shared data is allowed, there are still problems such as inconvenient query and the need for manual secondary processing. The power human resources business data intelligent management and control system in this embodiment automatically extracts human resources data distributed in multiple systems and integrates them into a "lightweight" local human resources database, and classifies and summarizes business operations, providing data and business services in a "microservice" manner. It can meet the needs of existing systems that do not include functions or user personalization, improve the shared query capabilities of business data, provide convenient and comprehensive data query services, and enhance the automated processing capabilities of business and processes, thereby improving the efficiency of power human resources management and control, and improving the accuracy of management and control.

[0034] In the second embodiment, a specific structure and function example of an expert talent management module is provided. The structural diagram of the expert talent management module in this embodiment is shown in FIG. Figure 3 shown.

[0035] Expert talents are important resources for enterprises. Cultivating and creating a team of expert talents with a reasonable structure, superb skills, outstanding capabilities and strong work style is crucial to promoting the development of enterprises and the power industry itself. Therefore, it is necessary to regularly carry out expert talent recommendation and selection work.

[0036] At present, the selection of experts and talents has not been managed in an online process, and is mainly carried out through electronic and paper document submission. The expert selection mainly includes: formulation of selection plan, personnel screening and recommendation, selection, public announcement of selection results, appointment and other links. Among them, the personnel screening, recommendation and selection links need to check and review the relevant qualifications and application materials of the candidates item by item in accordance with the requirements of the selection plan. The screening and review links require the review of a large amount of employee information. When various types of employee information are distributed in multiple information systems, a large amount of manual work is required, and the efficiency is low.

[0037] To this end, this embodiment constructs Figure 3 The expert talent management module shown is based on the expert talent management process. The functions of the sub-modules included in the expert talent management module in this embodiment are as follows: The evaluation plan submission submodule is used to submit the expert evaluation plan prepared by the expert evaluation unit to the evaluation and review unit; The selection scheme review submodule is used for the selection review unit to review the expert selection scheme online; The recommended candidate generation submodule is used to generate a list of matching candidate recommenders after the expert selection plan is reviewed and approved; The candidate qualification review submodule is used for reviewers to conduct online review of the candidate qualifications of each candidate recommender in the candidate recommender list, and to reject candidates who fail the qualification review and give reasons for rejection; The organization selection submodule is used for the selection unit to select the expert talents for the candidate recommenders who have passed the qualification review, and to reject the candidates who have failed the expert talent selection and give the reasons for the rejection; The proposed appointment announcement submodule is used to announce the candidates who have passed the expert talent selection offline and online, and to reject the candidates who have not passed the public announcement and give the reasons for the rejection; The appointment and storage submodule is used to perform the appointment operation on the personnel who have passed the public announcement, enter the appointment document number and appointment time of the appointed personnel, and transfer the appointed personnel to the expert database; The display and statistics submodule is used to analyze, display and report the information data of employed experts.

[0038] It is understandable that appointment announcement, expert talent information display and expert talent information storage are not necessary for expert talent selection, so in other embodiments, the above-mentioned proposed appointment announcement submodule, appointment and storage submodule and display and statistics submodule may not be included.

[0039] The expert talent management module of this embodiment is based on the local database constructed in the above embodiment, which integrates and classifies the power human resources business data of each system. It can automatically screen and match qualified candidates through pre-set expert talent qualifications at various levels, and the expert selection conditions at various levels can be added, modified, and deleted through configuration to meet the expert selection candidate recommendation needs of different units and different selection rules.

[0040] In the candidate recommendation stage, the system can search the local human resources database according to the selection criteria, and automatically screen and match qualified personnel, solving the manual screening work that previously required a lot of manpower and time costs, saving a lot of labor costs, and greatly improving work efficiency and expert selection accuracy.

[0041] Based on the expert talent management module of this embodiment, online management of the main links of expert talent selection is realized, and the selection process and data can be traced back and viewed online. By utilizing the data of the local human resources full-business data center, that is, the local database, it can intelligently match and recommend candidates who meet the selection criteria, improve the screening accuracy, and solve the manual screening work that previously required a lot of manpower and time costs, saving a lot of labor costs, and greatly improving work efficiency, expert selection accuracy and transparency.

[0042] At the same time, the power human resources business data involves corporate secrets and sensitive information. This embodiment is based on the microservice business retrieval method of the power human resources business data intelligent management and control system in the above embodiment, and sets up the storage of power human resources business data and expert talent management module in separate databases. System users and administrators cannot directly view the full business data of power human resources. Instead, they read the business data by calling microservices, using a dedicated network and dedicated database to avoid information leakage, thereby further ensuring data security.

[0043] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. An intelligent management and control system for power human resources business data, characterized in that: include: The data collection module is used to capture power human resources business data from various human resources business systems at set intervals; A data processing and storage module, used to verify and clean the power human resources business data to obtain valid data, and to classify and store the valid data according to data types to form a local database; The expert talent management module is used to complete the expert talent selection according to the local database.

2. The intelligent management and control system for electric power human resources business data according to claim 1 is characterized in that: The expert talent selection module includes: The selection plan submission submodule is used to submit the expert selection plan prepared by the expert selection unit to the selection and review unit; The selection scheme review submodule is used for the selection review unit to review the expert selection scheme online; The recommended candidate generation submodule is used to generate a list of matching candidate recommenders after the expert selection plan is reviewed and approved; The candidate qualification review submodule is used for reviewers to conduct online review of the candidate qualifications of each candidate recommender in the candidate recommender list, and to reject candidates who fail the qualification review and give reasons for rejection; The organization and selection submodule is used for the selection unit to conduct expert talent selection for the candidate recommenders who have passed the qualification review, and to reject those who have failed the expert talent selection and provide reasons for the rejection.

3. The intelligent management and control system for electric power human resources business data according to claim 2 is characterized in that: The expert talent selection module also includes: The proposed appointment announcement submodule is used to announce the candidates who have passed the expert talent selection offline and online, and to reject the candidates who have not passed the public announcement and give the reasons for the rejection; The appointment and storage submodule is used to perform the appointment operation on the personnel who have passed the public announcement, enter the appointment document number and appointment time of the appointed personnel, and transfer the appointed personnel to the expert database; The display and statistics submodule is used to analyze, display and report the information data of employed experts.

4. The intelligent management and control system for electric power human resources business data according to claim 1 is characterized in that: The capturing of power human resources business data from various human resources business systems includes: Part of the electric power human resources business data is automatically acquired through system integration technology, and then the remaining electric power human resources business data is acquired through RAP technology and manual collection.

5. The intelligent management and control system for electric power human resources business data according to claim 1 is characterized in that: The data types include organizational data, personnel data, salary data, performance data, training data, and benefits data.

6. The intelligent management and control system for electric power human resources business data according to claim 1 is characterized in that: The electric power human resources business data only includes result business data.

7. The intelligent management and control system for electric power personnel business data according to claim 1 is characterized in that: The verification and cleaning include: Determine whether there is duplication in the electric power personnel business data, and remove duplicate, invalid and erroneous data in the electric power personnel business data.

8. The intelligent management and control system for electric power human resources business data according to claim 1 is characterized in that: The electric power human resources business data intelligent management and control system also includes: The salary management module is used to complete performance-based salary management and auxiliary salary management, and complete automatic salary calculation.

9. The electric power human resources business data intelligent management and control system according to claim 1 is characterized in that: The setting interval is one day.

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