Talent ability cultivation system based on task system model
Through the human talent training system based on the task system model, the problem of uneven talent training and task allocation in the enterprise is solved, the reasonable allocation of tasks and the cultivation of human talent is achieved, and a scientific quantitative method is provided for performance appraisal.
Patent Information
- Application Number
- CN202411459871.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-18
- Publication Date
- 2025-02-25
AI Technical Summary
The existing technology has imbalance in talent training and task allocation in enterprises, resulting in inefficiency and waste of resources, and a lack of quantitative performance appraisal methods.
A human talent training system based on the task system model is adopted, and through collaborative work between the cloud and the user side, a task system model is established, task allocation, feedback data processing is carried out, and performance assessment is carried out through the human load model and the human talent assessment model.
It has achieved reasonable allocation of tasks, improved work efficiency and resource utilization, promoted the cultivation of human talent, and provided a scientific and quantifiable way for performance appraisal.
Smart Images
Figure CN119515322A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of talent management, and in particular to a talent capability training system based on a task system model. Background Art
[0002] Talent cultivation refers to the process of educating and training talents. The selected talents generally need to be trained and cultivated to become specialized talents required by various occupations and positions. The specific requirements for talent cultivation vary from industry to industry. For enterprises, talent cultivation is multi-level, including the cultivation of senior management talents, functional management talents, and grassroots management talents.
[0003] As the enterprise develops, various tasks are gradually increasing. The original technical methods often rely on manual judgment and experience, which easily leads to unbalanced task distribution. Some personnel may take on too many or the same type of tasks, while other personnel may have fewer tasks and are idle. This will lead to low work efficiency and unreasonable and wasteful resource allocation, and is not conducive to the cultivation of talent capabilities and the use of quantitative methods as a basis for appropriate performance appraisal. Summary of the invention
[0004] The purpose of the present invention is to provide a talent capability training system based on a task system model, including a cloud end and a user end.
[0005] The cloud includes a task system model module, a task issuing module, a task feedback module, a database module, a manpower load model module, a talent capability assessment module, and a performance assessment module.
[0006] The task system model module is used to establish a task system model, form a task system, and transmit the task system to the task issuing module and the database module.
[0007] The task issuing module allocates tasks to the task system in combination with the personnel information elements stored in the database module, and transmits the obtained task allocation information data to the task feedback module and the database module.
[0008] The task feedback module combines the task allocation information data and the actual task completion status into feedback data, and transmits the feedback data to the database module.
[0009] The database module stores personnel information elements.
[0010] The database module processes and classifies the received task system, task allocation information data, and feedback data, and transmits the processed data to the human load model module, the talent ability evaluation module, and the performance evaluation module.
[0011] The manpower load model module establishes a manpower load model by combining the data processed by the database module and the personnel information elements.
[0012] The talent capability assessment module establishes a talent capability assessment model based on the data processed by the database module.
[0013] The talent capability assessment model is used to evaluate personnel and obtain personnel evaluation scores.
[0014] The performance appraisal module combines the data processed by the database module and the personnel evaluation scores to obtain performance appraisal data.
[0015] The user terminal includes a data acquisition and transmission module, a display module, and a storage module.
[0016] The data acquisition and transmission module is used to obtain task and personnel information elements, and transmit the task to the task system model module, and transmit the personnel information elements to the database module.
[0017] The display module is used to display the manpower load model, the talent ability evaluation model, and the performance evaluation data.
[0018] The storage module is used to store historical manpower load models, historical talent ability assessment models and historical performance appraisal data.
[0019] Furthermore, the cloud also includes a fragmentation processing module.
[0020] The fragmentation processing module pre-processes each task and extracts task requirements.
[0021] The task system model module establishes a task system model according to task requirements.
[0022] Furthermore, the preprocessing includes data cleaning, removing duplicate data, filling missing values, defining data attributes, and defining data sources.
[0023] Furthermore, the user terminal also includes a human-computer interaction interface.
[0024] The human-computer interaction interface is used to generate information instructions.
[0025] The information instruction includes a time attribute.
[0026] The task issuing module distributes tasks according to information instructions.
[0027] Furthermore, the database module processes and classifies the received task system, task assignment information data, and feedback data into human load data, talent capability assessment data, and performance appraisal data.
[0028] The database module transmits the manpower load data to the manpower load model module.
[0029] The database module transmits the talent capability assessment data to the talent capability assessment module.
[0030] The database module transmits the performance appraisal data to the performance appraisal module.
[0031] Furthermore, the manpower load model describes the number of tasks that a person carries within a certain period of time.
[0032] The talent capability assessment model describes the quantity and quality of various tasks completed by personnel in a certain period of time, as well as the quality and quantity of tasks completed by personnel in this period of time after training.
[0033] Furthermore, the personnel information elements include name, age, position, years of work experience, skills, unfinished tasks, and completed tasks.
[0034] Furthermore, the performance appraisal data includes four sections: excellent, good, average, and poor.
[0035] Each segment corresponds to a performance appraisal score.
[0036] Furthermore, the calculation formula of the performance appraisal score is as follows:
[0037] S=ax+by (1)
[0038] In the formula, S is the performance evaluation score. a and b are weight coefficients. x is the data processed by the database module. y is the personnel evaluation score.
[0039] Further, the steps of using the talent capability training system to train talents are as follows:
[0040] 1) Store the personnel information elements in the database module, set the training time threshold T, and initialize the time t=0.
[0041] 2) Establish a task system model and assign tasks based on personnel information elements and the task system model.
[0042] 3) Personnel at time t k Receive and complete tasks within the range, where k is the task number, t k is the completion time limit of the kth task.
[0043] 4) Combine the task assignment information data and the actual task completion status into feedback data, and transmit the feedback data to the database module.
[0044] 5) Let t = t + t k, determine whether t<T holds, if so, return to step 2), if not, go to step 6).
[0045] 6) The database module analyzes and processes the received data, establishes a manpower load model and a talent capability assessment model, and outputs performance appraisal data.
[0046] The technical effect of the present invention is unquestionable. The present invention provides a talent capability training system based on the task system model, so as to improve the efficiency of completing work tasks, reasonably utilize and allocate resources and strengthen the training of talent capabilities, and also provide a quantitative assessment method for personnel performance appraisal.
[0047] The present invention fragments various affairs and establishes a task system model, realizes the business process drive of "finding people for things", completes the automatic issuance of tasks, and improves communication efficiency.
[0048] The present invention realizes the rational allocation of human resources, effectively avoids the situation of unbalanced allocation of personnel tasks and waste of resources, and improves work efficiency through the application and analysis of the personnel load model.
[0049] The present invention combines the task system model module, the task issuing module, the task feedback module, and the database module to continuously train personnel by inputting different conditions, which will promote the improvement of talent capabilities, supplement weak capabilities, highlight advantageous capabilities, realize the cultivation of talent capabilities, and provide a scientific, quantifiable, and reasonable assessment method for performance assessment management.
[0050] The present invention completes task distribution and task feedback by constructing a task system model, and uses a database for data integration and calculation, and generates a human load model and a talent capability assessment model driven by data, thereby realizing the transformation of tasks from "people looking for tasks" to "tasks looking for people", improving the rationality and efficiency of personnel allocation and utilization, and through continuous training, realizing the diversified development of talent capabilities, improving task management efficiency and talent capability cultivation. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] Figure 1 This is a structural diagram of the talent capacity training system;
[0052] In the figure, there are a fragmentation processing module 100, a task system model module 101, a task issuing module 102, a task feedback module 103, a database module 104, a manpower load model module 105, a talent capability assessment module 106, and a performance appraisal module 107. DETAILED DESCRIPTION
[0053] The present invention is further described below in conjunction with the embodiments, but it should not be understood that the above subject matter of the present invention is limited to the following embodiments. Without departing from the above technical ideas of the present invention, various substitutions and changes are made according to the common technical knowledge and customary means in the art, which should all be included in the protection scope of the present invention.
[0054] Embodiment 1:
[0055] See also Figure 1 , a talent capability training system based on the task system model, including the cloud side and the user side.
[0056] The cloud includes a task system model module 101 , a task issuing module 102 , a task feedback module 103 , a database module 104 , a manpower load model module 105 , a talent capability assessment module 106 , and a performance appraisal module 107 .
[0057] The task system model module 101 is used to establish a task system model, form a task system, and transmit the task system to the task issuing module 102 and the database module 104 .
[0058] The task issuing module 102 allocates tasks to the task system in combination with the personnel information elements stored in the database module 104 , and transmits the obtained task allocation information data to the task feedback module 103 and the database module 104 .
[0059] The task feedback module 103 combines the task allocation information data and the actual task completion status into feedback data, and transmits the feedback data to the database module 104 .
[0060] The database module 104 stores personnel information elements.
[0061] The database module 104 processes and classifies the received task system, task allocation information data, and feedback data, and transmits the processed data to the manpower load model module 105 , the talent ability evaluation module 106 , and the performance appraisal module 107 .
[0062] The manpower load model module 105 establishes a manpower load model by combining the data processed by the database module 104 and the personnel information elements.
[0063] The talent capability assessment module 106 establishes a talent capability assessment model based on the data processed by the database module 104 .
[0064] The talent capability assessment model is used to evaluate personnel and obtain personnel evaluation scores.
[0065] The performance appraisal module 107 combines the data processed by the database module 104 and the personnel evaluation scores to obtain performance appraisal data.
[0066] The user terminal includes a data acquisition and transmission module, a display module, and a storage module.
[0067] The data collection and transmission module is used to obtain task and personnel information elements, and transmit the task to the task system model module 101 and transmit the personnel information elements to the database module 104 .
[0068] The display module is used to display the manpower load model, the talent ability evaluation model, and the performance evaluation data.
[0069] The storage module is used to store historical manpower load models, historical talent ability assessment models and historical performance appraisal data.
[0070] Embodiment 2:
[0071] A talent capability training system based on a task system model, the main technical content of which is shown in Example 1. Furthermore, the cloud also includes a fragmentation processing module 100.
[0072] The fragmentation processing module 100 pre-processes each task and extracts task requirements.
[0073] The task system model module 101 establishes a task system model according to task requirements.
[0074] Embodiment 3:
[0075] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 1 to 2. Furthermore, the preprocessing includes data cleaning, removing duplicate data, filling missing values, defining data attributes, and defining data sources.
[0076] Embodiment 4:
[0077] A talent capability training system based on a task system model, the main technical content of which is shown in any one of embodiments 1 to 3. Furthermore, the user end also includes a human-computer interaction interface.
[0078] The human-computer interaction interface is used to generate information instructions.
[0079] The information instruction includes a time attribute.
[0080] The task issuing module 102 distributes tasks according to information instructions.
[0081] Embodiment 5:
[0082] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 1 to 4. Furthermore, the database module 104 processes and classifies the received task system, task assignment information data, and feedback data, and divides them into manpower load data, talent capability assessment data, and performance appraisal data.
[0083] The database module 104 transmits the manpower load data to the manpower load model module 105 .
[0084] The database module 104 transmits the talent capability assessment data to the talent capability assessment module 106 .
[0085] The database module 104 transmits the performance appraisal data to the performance appraisal module 107 .
[0086] Embodiment 6:
[0087] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 1 to 5. Furthermore, the manpower load model describes the number of tasks that a person carries within a certain period of time.
[0088] The talent capability assessment model describes the quantity and quality of various tasks completed by personnel in a certain period of time, as well as the quality and quantity of tasks completed by personnel in this period of time after training.
[0089] Embodiment 7:
[0090] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 1 to 6. Furthermore, the personnel information elements include name, age, position, years of work experience, skills, unfinished tasks, and completed tasks.
[0091] Embodiment 8:
[0092] A talent capability training system based on a task system model, the main technical content of which is shown in any one of embodiments 1 to 7. Furthermore, the performance appraisal data includes four segments: excellent, good, medium, and poor.
[0093] Each segment corresponds to a performance appraisal score.
[0094] Embodiment 9:
[0095] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Embodiments 1 to 8. Further, the calculation formula of the performance appraisal score is as follows:
[0096] S=ax+by (1)
[0097] Wherein, S is the performance evaluation score. a and b are weight coefficients. x is the data processed by the database module 104. y is the personnel evaluation score.
[0098] Embodiment 10:
[0099] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Embodiments 1 to 9. Further, the steps of talent training using the talent capability training system are as follows:
[0100] 1) Store the personnel information elements in the database module, set the training time threshold T, and initialize the time t=0.
[0101] 2) Establish a task system model and assign tasks based on personnel information elements and the task system model.
[0102] 3) Personnel at time t k Receive and complete tasks within the range, where k is the task number, t k is the completion time limit of the kth task.
[0103] 4) Combine the task assignment information data and the actual task completion status into feedback data, and transmit the feedback data to the database module.
[0104] 5) Let t = t + t k , determine whether t<T holds, if so, return to step 2), if not, go to step 6).
[0105] 6) The database module analyzes and processes the received data, establishes a manpower load model and a talent capability assessment model, and outputs performance appraisal data.
[0106] Embodiment 11:
[0107] See also Figure 1 , a talent capability training system based on the task system model, including the cloud side and the user side.
[0108] The cloud includes a task system model module 101 , a task issuing module 102 , a task feedback module 103 , a database module 104 , a manpower load model module 105 , a talent capability assessment module 106 , and a performance appraisal module 107 .
[0109] The task system model module 101 is used to establish a task system model, form a task system, and transmit the task system to the task issuing module 102 and the database module 104 .
[0110] The tasks described are work tasks and are determined by the company's business scope.
[0111] The task issuing module 102 allocates tasks to the task system in combination with the personnel information elements stored in the database module 104 , and transmits the obtained task allocation information data to the task feedback module 103 and the database module 104 .
[0112] The task allocation is based on the completed tasks and skills of personnel, and tasks related to the skills or similar to the completed tasks are allocated.
[0113] The task feedback module 103 combines the task allocation information data and the actual task completion ratio into feedback data, and transmits the feedback data to the database module 104 .
[0114] The database module 104 stores personnel information elements.
[0115] The database module 104 forms a data processing center by deploying computer technologies such as big data and informatization, processes and classifies the received task system, task allocation information data, and feedback data, and transmits the processed data to the human load model module 105, the talent ability evaluation module 106, and the performance appraisal module 107.
[0116] The manpower load model module 105 combines the data processed by the database module 104 with the personnel information elements to establish a manpower load model, and the result thereof provides a basis for reasonable allocation of human resources when allocating tasks.
[0117] The talent capability assessment module 106 establishes a talent capability assessment model based on the data processed by the database module 104 .
[0118] The talent capability assessment model is used to evaluate personnel and obtain personnel evaluation scores.
[0119] The performance appraisal module 107 combines the data processed by the database module 104 and the personnel evaluation scores to obtain performance appraisal data.
[0120] The user terminal includes a data acquisition and transmission module, a display module, and a storage module.
[0121] The data collection and transmission module is used to obtain task and personnel information elements, and transmit the task to the task system model module 101 and transmit the personnel information elements to the database module 104 .
[0122] The display module is used to display the manpower load model, the talent ability evaluation model, and the performance evaluation data.
[0123] The storage module is used to store historical manpower load models, historical talent ability assessment models and historical performance appraisal data.
[0124] Embodiment 12:
[0125] A talent capability training system based on a task system model, the main technical content of which is shown in Example 11. Furthermore, the cloud also includes a fragmentation processing module 100.
[0126] The fragmentation processing module 100 pre-processes each task and extracts task requirements.
[0127] The task system model module 101 establishes a task system model according to task requirements.
[0128] The task system model module 101 establishes a task model based on the useful data information extracted by the fragmentation processing module 100 to form a complete task system.
[0129] Embodiment 13:
[0130] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 12. Furthermore, the preprocessing includes data cleaning, removing duplicate data, filling missing values, defining data attributes, and defining data sources.
[0131] Embodiment 14:
[0132] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 13. Furthermore, the user end also includes a human-computer interaction interface.
[0133] The human-computer interaction interface is used to generate information instructions.
[0134] The information instruction includes a time attribute.
[0135] The task issuing module 102 distributes tasks according to information instructions.
[0136] Embodiment 15:
[0137] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 14. Furthermore, the database module 104 processes and classifies the received task system, task assignment information data, and feedback data, and divides them into manpower load data, talent capability assessment data, and performance appraisal data.
[0138] The database module 104 transmits the manpower load data to the manpower load model module 105 .
[0139] The database module 104 transmits the talent capability assessment data to the talent capability assessment module 106 .
[0140] The database module 104 transmits the performance appraisal data to the performance appraisal module 107 .
[0141] Embodiment 16:
[0142] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 15. Furthermore, the manpower load model describes the number of tasks that a person carries within a certain period of time.
[0143] The talent capability assessment model describes the quantity and quality of various tasks completed by personnel in a certain period of time, as well as the quality and quantity of tasks completed by personnel in this period of time after training.
[0144] Embodiment 17:
[0145] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 16. Furthermore, the personnel information elements include name, age, position, years of work experience, skills, unfinished tasks, and completed tasks.
[0146] Embodiment 18:
[0147] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Examples 11 to 17. Furthermore, the performance appraisal data includes four segments: excellent, good, medium, and poor.
[0148] Each segment corresponds to a performance appraisal score.
[0149] Embodiment 19:
[0150] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Embodiments 11 to 18. Further, the calculation formula of the performance appraisal score is as follows:
[0151] S=ax+by (1)
[0152] Wherein, S is the performance evaluation score. a and b are weight coefficients. x is the data processed by the database module 104. y is the personnel evaluation score.
[0153] Embodiment 20:
[0154] A talent capability training system based on a task system model, the main technical content of which is shown in any one of Embodiments 11 to 19. Further, the steps of talent training using the talent capability training system are as follows:
[0155] 1) Store the personnel information elements in the database module, set the training time threshold T, and initialize the time t=0.
[0156] 2) Establish a task system model and assign tasks based on personnel information elements and the task system model.
[0157] 3) Personnel at time t k Receive and complete tasks within the range, where k is the task number, t k is the completion time limit of the kth task.
[0158] 4) Combine the task assignment information data and the actual task completion status into feedback data, and transmit the feedback data to the database module.
[0159] 5) Let t = t + t k , determine whether t<T holds, if so, return to step 2), if not, go to step 6).
[0160] 6) The database module analyzes and processes the received data, establishes a manpower load model and a talent capability assessment model, and outputs performance appraisal data.
[0161] Based on the task system model, we continuously cultivate and train talents in different ability directions through different instruction information, and use collection and comparison methods to analyze the differences between their completed data and target data. Assisted by human objective evaluation, we regularly supplement or improve the talent ability assessment model to complete the positioning of talent capabilities, judge their growth potential, and give full play to their strengths in subsequent work, and arrange more reasonable work tasks and positions.
[0162] The completion volume and completion efficiency data generated in the process of talent capacity training are used to assist the performance evaluation rules, and the resulting data provides decision-making support for personnel performance appraisal.
[0163] Embodiment 21:
[0164] See also Figure 1 A talent capability training system based on a task system model includes: a task system model module 101, a task issuing module 102, a task feedback module 103, a database module 104, a manpower load model module 105, a talent capability evaluation module 106, and a performance appraisal module 107.
[0165] The task issuing module 102 completes the task allocation action according to the data input of the task model and the instructions of the human-computer interaction interface, and inputs the generated data into the database module 104 and the task feedback module 103 respectively.
[0166] The task feedback module 103 feeds back result data based on the task allocation information data and the actual completion status as input to the database module 104 .
[0167] The database module 104 forms a data processing center by deploying computer technologies such as big data and informatization, integrates data from other modules and processes and analyzes them. Its output data serves as input for the human load model, talent ability assessment model, and performance appraisal.
[0168] The human load model module 105 establishes a human load model based on the output data of the database module and in combination with the personnel information elements. The result thereof provides a basis for rationally allocating human resources when allocating tasks.
[0169] The talent capability assessment model 106 is used to establish a talent capability assessment model based on the training and development data accumulated by the database module 104 .
[0170] The performance appraisal module 107 outputs statistical analysis data as the basis for performance appraisal based on the data provided by the database module 104 and the appraisal rules.
[0171] The establishment of the task system model.
[0172] The task system model module 101 establishes a task model based on the useful data information extracted by the fragmentation processing module to form a complete task system as an input for the database module 104 and task allocation.
[0173] The implementation process of talent capacity training is as follows:
[0174] Based on the task system model, we continuously cultivate and train talents in different ability directions through different instruction information, and use collection and comparison methods to analyze the differences between their completed data and target data. Assisted by human objective evaluation, we regularly supplement or improve the talent ability assessment model to complete the positioning of talent capabilities, judge their growth potential, and give full play to their strengths in subsequent work, and arrange more reasonable work tasks and positions.
[0175] Provide the basis for performance appraisal:
[0176] The completion volume and completion efficiency data generated in the process of talent capacity training are used to assist the performance evaluation rules, and the resulting data provides decision-making support for personnel performance appraisal.
[0177] Embodiment 22:
[0178] See also Figure 1 A talent capability training system based on a task system model includes: a task system model module 101, a task issuing module 102, a task feedback module 103, a database module 104, a manpower load model module 105, a talent capability evaluation module 106, and a performance appraisal module 107.
[0179] The task system model module 101 is interconnected with the fragmentation processing 100, the task issuing module 102, the task feedback module 103, and the database module 104. The task system model module 101 is used to establish task models of various characteristics, different difficulties, and different types according to the sorted task requirements and data, forming systematic model data, and the model parameters can be iteratively adjusted over time to gradually improve the performance and quality of the model.
[0180] The fragmentation processing 100 is a prerequisite for establishing a task system model, which is used to clean and pre-process the data of various transactions, including removing duplicate data, filling missing values, defining data attributes, sources and other elements, so as to extract useful data and information to ensure data quality.
[0181] The task issuing module 102 is linked to the task feedback module 103 and the database module 104, and is used to automatically issue tasks according to the human resource model data fed back by the database module 104 and the information instructions issued by the human-computer interaction interface, wherein the information instructions include time attributes.
[0182] The task feedback module 103 is linked to the database module 104 and is used to provide feedback result data to the data information in the issued task model according to the actual execution situation. The feedback data will be automatically stored in the database module.
[0183] The database module 104 is linked to the human load model module 105, the talent capability assessment model 106 and the performance assessment module 107. The database module 104 is used to collect various data information, such as task system model data, instruction information data, feedback result data, etc., and output the data required by the human load model module 105, the talent capability assessment model 106 and other modules through data analysis technology.
[0184] The manpower load model module 105 is used to establish a manpower load model based on the data statistically sorted by the database and personnel-based factors using data modeling technology, which can enable managers to quickly understand the number of tasks currently carried by their own personnel in a certain period of time, and to make more reasonable use of human resources when issuing and allocating tasks.
[0185] The talent capability assessment module 106 is used to establish a talent capability assessment database using digital tools, which will record the basic information, capability model, and evaluation summary of the personnel in detail. The capability model is a capability model established based on the statistical data and indicator types output by the database module 104. The model will describe in detail the quantity, quality and other element information of various types of tasks completed in a certain period of time, as well as the quality, quantity and other element information of the tasks completed in this period after deliberate and continuous training. According to the data displayed by the capability model, the talent expert can evaluate and summarize the personnel and clarify whether the personnel's capabilities belong to specialized or multi-faceted talents.
[0186] The performance appraisal module 107 is used to use the feedback result data output by the database module 104 as the final score of the personnel performance appraisal, and issue performance.
[0187] The steps for defining the scoring rules for the performance appraisal are as follows:
[0188] Step 1: Use 'feedback results' and 'personnel evaluation' as basic elements to establish a scoring rule table and convert it into percentages.
[0189] Step 2: Each factor is divided into stages according to "excellent, average, and poor". "Excellent, average, and poor" corresponds to specific rule descriptions, and the judgment is based on the quality of the feedback result data and the quality of the personnel evaluation.
[0190] Step 3: Each stage corresponds to a score, and the sum of the total scores of each stage is 100.
[0191] Embodiment 23:
[0192] See also Figure 1 , a talent capability training system based on a task system model, including: a fragmentation processing module 100, a task system model module 101, a task issuing module 102, a task feedback module 103, a database module 104, a manpower load model module 105, a talent capability evaluation model module 106, and a performance evaluation module 107. The system can establish a task system model to realize a process-driven system of "finding people for tasks", enrich and improve the talent capability evaluation model through continuous human-computer interaction training, strengthen talent capability training, and quantify performance evaluation.
[0193] The main process steps implemented in this embodiment are: establishing a task system model, automatically issuing tasks through human-computer interaction instructions, and after receiving the tasks, completing the feedback of the tasks within the specified time range, and submitting them to the database module 104 for storage and analysis. After continuously repeating the above steps, a complete talent ability assessment model is output, which is used as a basis for judging the attributes of the talent, so that they can give full play to their strengths and make rational use of talents in subsequent work. At the same time, after the data is processed and analyzed by the database, on the one hand, it can be used to establish a human load model, which acts reversely on the task issuing module to provide positive feedback, and on the other hand, the data output is combined with the indicator setting of the evaluation rules to form a performance evaluation result.
[0194] Embodiment 24:
[0195] See also Figure 1 , a talent ability training system based on a task system model. The main technical content is shown in Example 23. Further, a detailed step-by-step introduction is given using an event management instance of a certain institute as an example.
[0196] Step 1: Deploy database module 104
[0197] According to management requirements, the database module adopts a private cloud centralized deployment mode and uses a B / S architecture, which users can access through a browser. Users need to first enter the DMZ zone firewall through the internal network, pass through the router switch, forward to the Web server EPM, and then pass through the internal network firewall to the Server Fram zone, and connect to the database server and file server through a router / switch. After this security protection measure, the database module can be used.
[0198] Step 2: Fragment the work
[0199] After sorting out, refining, disassembling, filling in missing values, and defining data attributes for all matters of a certain institute, useful data and information will be extracted for future use.
[0200] Step 3: Establish a task system model
[0201] According to the result data generated in step 2, data modeling is performed through a computer to form a task system model.
[0202] Step 4: Assign tasks by issuing instructions
[0203] Through the human-computer interaction interface presented by the database module deployed in step 1 and combined with the task model established in step 3, instruction information is input, and the responsible person and time factor are clarified to achieve semi-automatic task allocation.
[0204] Step 5: Receive information and complete task feedback
[0205] According to the task information issued in step 4, the computer will filter and process the information received by the corresponding responsible person according to the personnel, and the responsible person will feedback the completed result data through the human-computer interaction interface according to the actual completion status. The feedback result data will be used as the input of the database module 104 together with the received information data.
[0206] Step 6: The database module 104 analyzes and processes the data to output a human workload model, a talent assessment model, and performance appraisal data.
[0207] Repeat the related operations of steps 2, 3, and 4 for a period of time, and output the human load model through the analysis and processing of the database module 104 combined with the factors in step 3. Combined with the factors of steps 3 and 4, output the talent evaluation model and provide performance appraisal data, so as to check and verify the work saturation and workload of each person in real time, understand the ability attributes of each talent and the degree of growth after continuous training.
Claims
1. A talent capability training system based on a task system model, characterized in that: Including cloud and user end; The cloud comprises a task system model module (101), a task issuing module (102), a task feedback module (103), a database module (104), a manpower load model module (105), a talent capability assessment module (106), and a performance assessment module (107). The task system model module (101) is used to establish a task system model, form a task system, and transmit the task system to the task issuing module (102) and the database module (104). The task issuing module (102) combines the personnel information elements stored in the database module (104) to allocate tasks to the task system, and transmits the obtained task allocation information data to the task feedback module (103) and the database module (104); The task feedback module (103) combines the task allocation information data and the actual task completion status into feedback data, and transmits the feedback data to the database module (104); The database module (104) stores personnel information elements; The database module (104) processes and classifies the received task system, task allocation information data, and feedback data, and transmits the processed data to the manpower load model module (105), the talent ability assessment module (106), and the performance assessment module (107); The manpower load model module (105) combines the data processed by the database module (104) and the personnel information elements to establish a manpower load model; The talent capability assessment module (106) establishes a talent capability assessment model based on the data processed by the database module (104); The talent capability assessment model is used to evaluate personnel and obtain personnel evaluation scores; The performance appraisal module (107) combines the data processed by the database module (104) and the personnel evaluation scores to obtain performance appraisal data; The user terminal includes a data acquisition and transmission module, a display module, and a storage module; The data acquisition and transmission module is used to obtain task and personnel information elements, and transmit the task to the task system model module (101), and transmit the personnel information elements to the database module (104); The display module is used to display the manpower load model, talent ability assessment model, and performance assessment data; The storage module is used to store historical manpower load models, historical talent ability assessment models and historical performance appraisal data.
2. According to claim 1, a talent ability training system based on a task system model is characterized in that: The cloud also includes a fragmentation processing module (100); The fragmentation processing module (100) pre-processes each task and extracts task requirements; The task system model module (101) establishes a task system model according to task requirements.
3. A talent capability training system based on a task system model according to claim 2, characterized in that: The preprocessing includes data cleaning, removing duplicate data, filling missing values, defining data attributes, and defining data sources.
4. According to claim 1, a talent ability training system based on a task system model is characterized in that: The user terminal also includes a human-computer interaction interface; The human-computer interaction interface is used to generate information instructions; The information instruction includes a time attribute; The task issuing module (102) distributes tasks according to information instructions.
5. According to claim 1, a talent ability training system based on a task system model is characterized in that: The database module (104) processes and classifies the received task system, task allocation information data, and feedback data into human load data, talent ability assessment data, and performance assessment data; The database module (104) transmits the manpower load data to the manpower load model module (105); The database module (104) transmits the talent capability assessment data to the talent capability assessment module (106); The database module (104) transmits the performance evaluation data to the performance evaluation module (107).
6. A talent capability training system based on a task system model according to claim 1, characterized in that: The manpower load model describes the number of tasks that a person carries within a certain period of time; The talent capability assessment model describes the quantity and quality of various tasks completed by personnel in a certain period of time, as well as the quality and quantity of tasks completed by personnel in this period of time after training.
7. The talent ability training system based on the task system model according to claim 1 is characterized in that: The personnel information elements include name, age, position, years of work experience, skills, unfinished tasks, and completed tasks.
8. The talent capability training system based on the task system model according to claim 1 is characterized in that: The performance appraisal data includes four sections: excellent, good, fair, and poor; Each segment corresponds to a performance appraisal score.
9. A talent capability training system based on a task system model according to claim 8, characterized in that: The calculation formula of the performance appraisal score is as follows: S=ax+by (1) In the formula, S is the performance evaluation score; a and b are weight coefficients; x is the data processed by the database module (104); and y is the personnel evaluation score.
10. The talent capability training system based on the task system model according to claim 1 is characterized in that: The steps of using the talent capability training system to train talents are as follows: 1) Store the personnel information elements in the database module, set the training time threshold T, and initialize the time t=0; 2) Establish a task system model and assign tasks based on personnel information elements and the task system model; 3) Personnel at time t k Receive and complete tasks within the range, where k is the task number, t k is the completion time limit of the kth task; 4) combining the task assignment information data and the actual task completion status into feedback data, and transmitting the feedback data to the database module; 5) Let t = t + t k , determine whether t<T holds, if so, return to step 2), if not, proceed to step 6); 6) The database module analyzes and processes the received data, establishes a human workload model and a talent capability assessment model, and outputs performance appraisal data.