Evaluation task formulating method based on multiple levels

Abstract

The invention particularly relates to an evaluation task formulating method based on multiple levels. According to the evaluation task formulation method based on the multiple levels, a data index management module collects data and customizes data indexes for an assessment and evaluation system; the assessment index model management module pre-configures assessment indexes and data indexes contained in the assessment indexes for the assessment evaluation system, configures a group of data indexes for an assessment index model according to business requirements, and configures names and descriptions of the assessment index model; an evaluation task is newly added, evaluation task information is set, then a pre-configured assessment index model is imported, and assessment index information is configured in the newly added evaluation task; and storing and issuing the configured evaluation task, and starting an evaluation process. According to the evaluation task formulating method based on the multiple levels, the efficiency and accuracy of evaluation task formulating are improved through a standardized and systematized configuration process, and the evaluation task formulating method has wide application prospects and remarkable actual benefits.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a multi-level evaluation task formulation method. Background Art

[0002] In the modern information society, data-driven decision-making is becoming more and more common. With the rapid development of big data technology and artificial intelligence, how to effectively use data for scientific and reasonable evaluation has become the focus of attention in all walks of life. Whether it is the performance evaluation of enterprises in operation management, quality control in project management, or student ability evaluation in the field of education, scientific evaluation methods are indispensable. However, traditional evaluation methods often face the following major problems in practice:

[0003] Inconsistent standards: There is a lack of consistent standards among different evaluators, which affects the comparability and fairness of the evaluation results.

[0004] Inflexible model: In traditional evaluation methods, the evaluation model is usually fixed and difficult to adapt to changing actual needs.

[0005] Unscientific task formulation: The formulation of evaluation tasks often lacks systematicity and scientificity, and the evaluation process is prone to disconnection or duplication, affecting the overall efficiency and reliability of the results.

[0006] These problems seriously affect the accuracy, efficiency and fairness of evaluation work, and a new approach is urgently needed to address these challenges.

[0007] In order to solve the above problems, the present invention proposes a multi-level evaluation task formulation method. Summary of the invention

[0008] In order to make up for the defects of the prior art, the present invention provides a simple and efficient method for formulating evaluation tasks based on multiple levels.

[0009] The present invention is achieved through the following technical solutions:

[0010] A method for formulating evaluation tasks based on multiple levels, characterized in that it includes the following steps:

[0011] Step S1: Data indicator configuration

[0012] The data indicator management module collects data, provides functions for adding, modifying, deleting, disabling and enabling configuration information, and customizes data indicators for the assessment and evaluation system;

[0013] Step S2: Configuration of assessment indicator model

[0014] The assessment indicator model management module pre-configures the assessment indicators and the data indicators they contain for the assessment and evaluation system, so as to quickly formulate evaluation tasks;

[0015] Configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios based on actual business needs;

[0016] Step S3: Evaluation task configuration

[0017] Add a new evaluation task and set the evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer;

[0018] Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information;

[0019] Step S4: Save and publish the configured evaluation task and start the evaluation process.

[0020] In step S1, the data indicator is the data unit with the smallest dimension, and the methods of collecting data include connecting to a database, requesting an interface, manually filling in the data, and referencing calculation;

[0021] The data indicator classification is a multi-level structure. The data indicator management module systematically manages and classifies the data indicators and provides the functions of adding, modifying and deleting data indicator classification.

[0022] When adding a new data indicator, click the Add button and a Add window will pop up. Items marked with * are required. Configure the name, category, description and data source of the data indicator; select the data source type in the Data Source drop-down box, including database, request interface, manual reporting and reference calculation;

[0023] For the database type, fill in the table name, field name, where condition and sorting method according to the pop-up window. All inputs must meet the SQL syntax requirements.

[0024] Request interface type: Fill in the interface address and interface return value according to the pop-up window. The interface return value must meet the JSON Path syntax requirements.

[0025] Manual reporting type is filled in manually by staff;

[0026] The reference calculation type integrates the filled-in data indicators and outputs new data indicators by writing formulas; the formula provides two calculation methods: fixed value and percentage.

[0027] In the step S1, the classification management of each data indicator is achieved by classifying the data indicators through budget configuration.

[0028] In step S3, the task cycle type refers to the cycle of the evaluation task. The system automatically generates the task to be evaluated according to the first start time and the task cycle. The task cycle includes the following types:

[0029] Yearly cycle: Based on the date set for the first start time, tasks to be evaluated are generated on the same day every year;

[0030] Quarterly cycle: tasks to be evaluated are generated on the same day every three months;

[0031] Monthly cycle: tasks to be evaluated are generated on the same day of each month;

[0032] Weekly cycle: tasks to be evaluated are generated on the same day every week;

[0033] Daily cycle: Generate tasks to be evaluated at the same time every day;

[0034] Hourly cycle: Generate tasks to be evaluated at the same time every hour;

[0035] Single task: The task to be evaluated is generated only once and will not be repeated.

[0036] Task duration is used to set the duration of each task in hours or days.

[0037] In step S3, the user is allowed to delete a single assessment indicator or the entire evaluation task, and the user can add, modify or delete evaluation tasks and assessment indicator information according to actual needs.

[0038] In step S3, after creating the evaluation task, the evaluation indicator information is configured by freely filling in, introducing the evaluation indicator model, or selecting the evaluation indicator model from the historical tasks;

[0039] When configuring the formula in the assessment indicator information, if the scenario is not enabled, only one formula can be configured;

[0040] If the scenario is enabled, the user can customize the scenario, configure the formula according to the scenario, add judgment conditions, and use the corresponding formula to calculate according to the scenario when the task is running.

[0041] A system for implementing the multi-level evaluation task formulation method of the present invention comprises:

[0042] The data indicator management module is responsible for collecting data, providing the functions of adding, modifying, deleting, disabling and enabling configuration information, and customizing data indicators for the assessment and evaluation system;

[0043] The assessment indicator model management module is responsible for pre-configuring the assessment indicators and the data indicators they contain for the assessment and evaluation system so as to quickly formulate evaluation tasks;

[0044] And configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios according to the actual needs of the business;

[0045] The evaluation task configuration module is responsible for adding new evaluation tasks and setting evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer;

[0046] Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information;

[0047] The task publishing module is responsible for saving and publishing the configured evaluation tasks and starting the evaluation process.

[0048] A multi-level evaluation task formulation device, characterized in that it includes a memory and a processor; the memory is used to store a computer program, and the processor is used to implement the above method when executing the computer program.

[0049] A readable storage medium, characterized in that: a computer program is stored on the readable storage medium, and the computer program implements the above method when executed by a processor.

[0050] The beneficial effects of the present invention are as follows: the multi-level evaluation task formulation method improves the efficiency and accuracy of evaluation task formulation through a standardized and systematic configuration process, and has broad application prospects and significant practical benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Attached Figure 1 A schematic diagram of a method for formulating multi-level evaluation tasks according to the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0054] The multi-level evaluation task formulation method includes the following steps:

[0055] Step S1: Data indicator configuration

[0056] The data indicator management module collects data, provides functions for adding, modifying, deleting, disabling and enabling configuration information, and customizes data indicators for the assessment and evaluation system;

[0057] Step S2: Configuration of assessment indicator model

[0058] The assessment indicator model management module pre-configures the assessment indicators and the data indicators they contain for the assessment and evaluation system, so as to quickly formulate evaluation tasks;

[0059] Configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios based on actual business needs;

[0060] Step S3: Evaluation task configuration

[0061] Add a new evaluation task and set the evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer;

[0062] Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information;

[0063] Step S4: Save and publish the configured evaluation task and start the evaluation process.

[0064] In step S1, the data indicator is the data unit with the smallest dimension, and the methods of collecting data include connecting to a database, requesting an interface, manually filling in the data, and referencing calculation;

[0065] The data indicator classification is a multi-level structure. The data indicator management module systematically manages and classifies the data indicators and provides the functions of adding, modifying and deleting data indicator classification.

[0066] When adding a new data indicator, click the Add button and a Add window will pop up. Items marked with * are required. Configure the name, category, description and data source of the data indicator; select the data source type in the Data Source drop-down box, including database, request interface, manual reporting and reference calculation;

[0067] For the database type, fill in the table name, field name, where condition and sorting method according to the pop-up window. All inputs must meet the SQL syntax requirements.

[0068] Request interface type: Fill in the interface address and interface return value according to the pop-up window. The interface return value must meet the JSON Path syntax requirements.

[0069] Manual reporting type is filled in manually by staff;

[0070] The reference calculation type integrates the filled-in data indicators and outputs new data indicators by writing formulas; the formula provides two calculation methods: fixed value and percentage.

[0071] In the step S1, the classification management of each data indicator is achieved by classifying the data indicators through budget configuration.

[0072] In step S3, the task cycle type refers to the cycle of the evaluation task. The system automatically generates the task to be evaluated according to the first start time and the task cycle. The task cycle includes the following types:

[0073] Yearly cycle: Based on the date set for the first start time, tasks to be evaluated are generated on the same day every year;

[0074] Quarterly cycle: tasks to be evaluated are generated on the same day every three months;

[0075] Monthly cycle: tasks to be evaluated are generated on the same day of each month;

[0076] Weekly cycle: tasks to be evaluated are generated on the same day every week;

[0077] Daily cycle: Generate tasks to be evaluated at the same time every day;

[0078] Hourly cycle: Generate tasks to be evaluated at the same time every hour;

[0079] Single task: The task to be evaluated is generated only once and will not be repeated.

[0080] Task duration is used to set the duration of each task in hours or days.

[0081] In step S3, the user is allowed to delete a single assessment indicator or the entire evaluation task, and the user can add, modify or delete evaluation tasks and assessment indicator information according to actual needs.

[0082] In step S3, after creating the evaluation task, the evaluation indicator information is configured by freely filling in, introducing the evaluation indicator model, or selecting the evaluation indicator model from the historical tasks;

[0083] When configuring the formula in the assessment indicator information, if the scenario is not enabled, only one formula can be configured;

[0084] If the scenario is enabled, the user can customize the scenario, configure the formula according to the scenario, add judgment conditions, and use the corresponding formula to calculate according to the scenario when the task is running.

[0085] The system for implementing the multi-level evaluation task formulation method includes:

[0086] The data indicator management module is responsible for collecting data, providing the functions of adding, modifying, deleting, disabling and enabling configuration information, and customizing data indicators for the assessment and evaluation system;

[0087] The assessment indicator model management module is responsible for pre-configuring the assessment indicators and the data indicators they contain for the assessment and evaluation system so as to quickly formulate evaluation tasks;

[0088] And configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios according to the actual needs of the business;

[0089] The evaluation task configuration module is responsible for adding new evaluation tasks and setting evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer;

[0090] Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information;

[0091] The task publishing module is responsible for saving and publishing the configured evaluation tasks and starting the evaluation process.

[0092] The multi-level evaluation task formulation device includes a memory and a processor; the memory is used to store a computer program, and the processor is used to implement the above method when executing the computer program.

[0093] The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0094] Compared with the existing technology, this multi-level evaluation task formulation method has the following characteristics:

[0095] First, have a unified evaluation standard: by formulating clear data indicators, ensure the consistency and comparability of the evaluation standards, reduce subjective bias, and improve the reliability and validity of the evaluation results.

[0096] Second, the flexibility of the model is enhanced: by constructing an adjustable indicator model, the evaluation model can be flexibly adjusted according to actual needs to meet the evaluation requirements under different scenarios and diversified needs.

[0097] Third, the scientific nature of the evaluation is improved: Through a systematic evaluation task formulation process, the scientific and systematic nature of the evaluation work is ensured, and closed-loop management of the entire process is achieved from data indicator setting to evaluation result output, thereby improving the efficiency of the evaluation process and the reliability of the results.

[0098] Fourth, improve transparency and fairness: Through transparent and open evaluation standards and process design, the transparency and fairness of the evaluation work are improved, and the persuasiveness and credibility of the evaluation results are enhanced.

[0099] In summary, this multi-level evaluation task formulation method solves the various drawbacks of traditional evaluation methods through scientific and reasonable data indicator formulation, flexible and diverse indicator model construction, and systematic and comprehensive evaluation task design, providing an efficient and reliable solution for various evaluation tasks, and ultimately realizing the standardization, scientificization and systematization of evaluation work.

[0100] The embodiment described above is only one specific implementation of the present invention. Common changes and substitutions made by those skilled in the art within the scope of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for formulating evaluation tasks based on multiple levels, characterized by: The following steps are involved: Step S1: Data indicator configuration The data indicator management module collects data, provides functions for adding, modifying, deleting, disabling and enabling configuration information, and customizes data indicators for the assessment and evaluation system; Step S2: Configuration of assessment indicator model The assessment indicator model management module pre-configures the assessment indicators and the data indicators they contain for the assessment and evaluation system, so as to quickly formulate evaluation tasks; Configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios based on actual business needs; Step S3: Evaluation task configuration Add a new evaluation task and set the evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer; Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information; Step S4: Save and publish the configured evaluation task and start the evaluation process.

2. The multi-level evaluation task formulation method according to claim 1 is characterized in that: In step S1, the data indicator is the data unit with the smallest dimension, and the methods of collecting data include connecting to a database, requesting an interface, manually filling in the data, and referencing calculation; The data indicator management module systematically manages and classifies data indicators, and provides the functions of adding, modifying and deleting data indicator categories.

3. The multi-level evaluation task formulation method according to claim 2 is characterized in that: When adding a new data indicator, configure the name, category, description and data source of the data indicator; select the data source type in the data source drop-down box, including database, request interface, manual reporting and reference calculation; For the database type, fill in the table name, field name, where condition and sorting method according to the pop-up window. All inputs must meet the SQL syntax requirements. Request interface type: Fill in the interface address and interface return value according to the pop-up window. The interface return value must meet the JSON Path syntax requirements. Manual filling type is filled in manually by staff; The reference calculation type integrates the filled-in data indicators and outputs new data indicators by writing formulas; the formula provides two calculation methods: fixed value and percentage.

4. The multi-level evaluation task formulation method according to claim 2 is characterized in that: In the step S1, the classification management of each data indicator is achieved by classifying the data indicators through budget configuration.

5. The multi-level evaluation task formulation method according to claim 1 is characterized in that: In step S3, the task cycle type refers to the cycle of the evaluation task. The system automatically generates the task to be evaluated according to the first start time and the task cycle. The task cycle includes the following types: Yearly cycle: Based on the date set for the first start time, tasks to be evaluated are generated on the same day every year; Quarterly cycle: tasks to be evaluated are generated on the same day every three months; Monthly cycle: tasks to be evaluated are generated on the same day of each month; Weekly cycle: tasks to be evaluated are generated on the same day every week; Daily cycle: Generate tasks to be evaluated at the same time every day; Hourly cycle: Generate tasks to be evaluated at the same time every hour; Single task: The task to be evaluated is generated only once and will not be repeated; Task duration is used to set the duration of each task in hours or days.

6. The multi-level evaluation task formulation method according to claim 1 is characterized in that: In step S3, the user is allowed to delete a single assessment indicator or the entire evaluation task, and the user can add, modify or delete evaluation tasks and assessment indicator information according to actual needs.

7. The multi-level evaluation task formulation method according to claim 1 is characterized in that: In step S3, after creating the evaluation task, the evaluation indicator information is configured by freely filling in, introducing the evaluation indicator model, or selecting the evaluation indicator model from the historical tasks; When configuring the formula in the assessment indicator information, if the scenario is not enabled, only one formula can be configured; If the scenario is enabled, the user can customize the scenario, configure the formula according to the scenario, add judgment conditions, and use the corresponding formula to calculate according to the scenario when the task is running.

8. A system for implementing the multi-level evaluation task formulation method according to any one of claims 1 to 7, characterized in that: include: The data indicator management module is responsible for collecting data, providing the functions of adding, modifying, deleting, disabling and enabling configuration information, and customizing data indicators for the assessment and evaluation system; The assessment indicator model management module is responsible for pre-configuring the assessment indicators and the data indicators they contain for the assessment and evaluation system so as to quickly formulate evaluation tasks; And configure a set of data indicators for the assessment indicator model according to business needs, and configure the name and description of the assessment indicator model; users can customize the configuration evaluation criteria for different scenarios according to the actual needs of the business; The evaluation task configuration module is responsible for adding new evaluation tasks and setting evaluation task information, including task name, task description, task cycle, first start time, task duration, and evaluator and reviewer; Then import the pre-configured assessment indicator model, configure the assessment indicator information in the newly added evaluation task, including the assessment indicator name, assessment indicator description, evaluation criteria, assessment indicator classification, calculation type, weight score, average score data source, assessment basis, data indicator, formula and situation information, and edit the evaluation task information and assessment indicator information; The task publishing module is responsible for saving and publishing the configured evaluation tasks and starting the evaluation process.

9. A multi-level evaluation task formulation device, characterized in that: The method comprises a memory and a processor; the memory is used to store a computer program, and the processor is used to implement the method according to any one of claims 1 to 7 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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