CN-121981588-A - Biological authentication management method and system for intelligent salary efficiency assessment

CN121981588ACN 121981588 ACN121981588 ACN 121981588ACN-121981588-A

Abstract

The invention discloses a biological authentication management method and a biological authentication management system for intelligent payroll evaluation, which relate to the field of digital transmission and comprise the steps of after receiving an authentication request, calling an identity authentication feature library to execute biological identity authentication of a user to establish a first authentication result, if the authentication request passes, executing a concerned feature set according to function account data and real-time task data configuration, executing behavior biological information collection of the user to establish a behavior data set, performing biological feature scoring on the behavior data set according to the concerned feature set to establish a second authentication result, executing state biological information collection of the user to establish a state data set, performing state scoring according to the state data set and the concerned feature set to establish a third authentication result, and performing intelligent payroll evaluation management according to the first authentication result, the second authentication result and the third authentication result. The technical problems of low assessment comprehensiveness, accuracy and safety in the existing intelligent salary efficiency assessment are solved, and the technical effects of comprehensiveness, accuracy and safety assessors on work salary efficiency are achieved.

Inventors

ZHOU QINSONG
MING MIN
ZHANG HUI
LUO XIAOJIANG
MA TAO
WANG YEHUI
XIAO HONGYANG
WANG LIYU
LI YINYING

Assignees

浙江嘉兴中达建设有限公司

Dates

Publication Date: 20260505
Application Date: 20251215

Claims (10)

1. A biometric authentication management method for intelligent payroll assessment, the method comprising: After receiving an authentication request of a user, invoking the identity authentication feature library to execute the biological identity authentication of the user, and establishing a first authentication result; If the first authentication result is a passing result, reading the function account data of the user, acquiring the real-time task data of the user, and configuring and executing a concerned feature set according to the function account data and the real-time task data; Activating a behavior acquisition layer, executing behavior biological information acquisition of a user, and establishing a behavior data set, wherein the behavior biological information acquisition comprises key mouse operation biological information acquisition, voice tone and frequency information acquisition; Performing biological feature scoring on the behavior data set according to the execution attention feature set, and establishing a second authentication result; Executing state biological information acquisition of a user, establishing a state data set, scoring the state according to the state data set and the execution attention feature set, and establishing a third authentication result; And performing intelligent salary efficiency evaluation management according to the first authentication result, the second authentication result and the third authentication result.
2. The biometric authentication management method for intelligent payroll evaluation according to claim 1, wherein the intelligent payroll evaluation management according to the first, second, and third authentication results comprises: Invoking historical health monitoring data of a user according to the first authentication result, and configuring health sustainability parameters of the user, wherein the health sustainability parameters comprise a physiological load index, a psychological stress index and a fatigue accumulation trend index; After the state data set is called, the state data set and the health sustainability parameters are utilized to score health risks of the user, and a real-time health risk scoring result is generated; Acquiring real pay output data of a user, performing coupling verification according to the real pay output data and the real-time health risk scoring result, and establishing a fourth authentication result by using the coupling verification result; And performing intelligent salary efficiency evaluation management according to the first authentication result, the second authentication result, the third authentication result and the fourth authentication result.
3. The biometric authentication management method for intelligent payroll evaluation according to claim 2, wherein the performing intelligent payroll evaluation management according to the first, second, third, and fourth authentication results comprises: Analyzing the historical health monitoring data to obtain a biological data sequence, wherein the biological data sequence comprises a concentration curve, a fatigue recovery curve and a working node preference, and an individual working rhythm curve is established according to the biological data sequence; configuring a rhythm self-adapting layer of a salary efficiency evaluation channel by utilizing the individual working rhythm curve so as to finish initialization of the salary efficiency evaluation channel; After the task completion data are read, inputting the task completion data, the first authentication result, the second authentication result, the third authentication result and the fourth authentication result into a payroll evaluation channel, and establishing a payroll evaluation result.
4. The biometric authentication management method for intelligent payroll evaluation as defined in claim 3, wherein inputting the task completion data, the first authentication result, the second authentication result, the third authentication result, and the fourth authentication result into a payroll evaluation channel to establish a payroll evaluation result comprises: Extracting the task completion data by task execution nodes to construct a task node set; Performing task criticality identification on the task node set, and establishing a task criticality index; Synchronously transmitting the task node set and the task key index to a rhythm self-adaption layer of a salary efficiency evaluation channel, executing rhythm adaption analysis, establishing a performance correction weight by utilizing a rhythm adaption analysis result, and establishing weighted performance after completing data weighting of the task according to the correction weight; and establishing a salary evaluation result based on the weighted performance, the first authentication result, the second authentication result, the third authentication result and the fourth authentication result.
5. The biometric authentication management method for intelligent payroll evaluation according to claim 1, wherein after the intelligent payroll evaluation management is performed according to the first authentication result, the second authentication result, and the third authentication result, the method comprises: Activating a data encryption instruction, and calling biological associated data of a user according to the data encryption instruction; and after the data classification is carried out on the biological associated data, carrying out hierarchical encryption based on a data classification result, and executing a transparent authorization strategy when the biological associated data is called so as to execute encryption management of the biological associated data.
6. The biometric authentication management method for intelligent payroll assessment according to claim 1, wherein said executing a feature set of interest according to said job account data, said real-time task data configuration, comprises: Performing data deconstructment on the job account data to acquire job role information, performance assessment dimension, task criticality level and historical task completion characteristics, and establishing a job portrait and a behavior pattern library; acquiring task types, task duration planning, key task nodes and task cooperation data according to the real-time task data, and establishing a task feature set; And carrying out biological information association analysis based on the post portraits, the behavior pattern library and the task feature set, and establishing a concerned feature set.
7. The biometric authentication management method for intelligent payroll assessment as defined in claim 1, wherein said establishing a first authentication result comprises: If the first authentication result is an authentication failed result, establishing an authentication abnormal label of the user; And when receiving the re-authentication request of the user, executing user authentication management after reconstructing an authentication strategy according to the authentication anomaly tag.
8. The biometric authentication management method for intelligent payroll assessment as defined in claim 1, wherein said establishing an authentication feature library of a user comprises: setting an updating period of an identity authentication feature library; the method comprises the steps of executing the re-acquisition of the identity authentication biological characteristics of a user in the updating period, and carrying out characteristic trend authentication by utilizing the existing identity authentication characteristic library; and if the feature trend authentication is passed, updating the identity authentication feature library.
9. The biometric authentication management method for intelligent payroll assessment of claim 1, wherein the behavioral biometric information collection further comprises eye tracking, facial microexpressions collection, body temperature trend collection.
10. A biometric management system for intelligent payroll assessment, wherein the system is for implementing the biometric management method for intelligent payroll assessment of any of claims 1-9, the system comprising: The system comprises a biological identity characteristic authentication module, a first authentication module and a second authentication module, wherein the biological identity characteristic authentication module is used for establishing an identity authentication characteristic library of a user, and calling the identity authentication characteristic library to execute biological identity characteristic authentication of the user after receiving an authentication request of the user, so as to establish a first authentication result; The execution attention feature set configuration module is used for reading the function account data of the user and acquiring the real-time task data of the user if the first authentication result is a passing result, and executing the attention feature set according to the function account data and the real-time task data configuration; the behavior biological information acquisition module is used for activating the behavior acquisition layer, executing the behavior biological information acquisition of the user, and establishing a behavior data set, wherein the behavior biological information acquisition comprises the key mouse operation biological information acquisition, the voice tone and the frequency information acquisition; The biological feature scoring module is used for scoring the biological features of the behavior data set according to the execution attention feature set and establishing a second authentication result; the state scoring module is used for executing state biological information acquisition of the user, establishing a state data set, scoring the state according to the state data set and the execution attention feature set and establishing a third authentication result; And the intelligent salary efficiency evaluation management module is used for carrying out intelligent salary efficiency evaluation management according to the first authentication result, the second authentication result and the third authentication result.

Description

Biological authentication management method and system for intelligent salary efficiency assessment Technical Field The application relates to the field of digital transmission, in particular to a biological authentication management method and system for intelligent salary efficiency evaluation. Background In the field of enterprise management, the accuracy and fairness of intelligent salary efficiency assessment have important significance for exciting employee work enthusiasm, optimizing enterprise human resource allocation and improving enterprise overall performance, and are directly related to the operation efficiency and long-term development of enterprises. At present, the intelligent salary efficiency assessment problem is solved, the traditional assessment method based on the work task completion amount and the established performance index is mainly relied on, part of enterprises can combine with a simple identity authentication means to ensure the accuracy of the identity of an assessment object, and single password authentication is adopted in the authentication aspect. However, the traditional evaluation mode is too single and one-sided, and is difficult to comprehensively and truly reflect the comprehensive performance and contribution of staff in actual work only according to the completion amount of the work task and the set index, and the single authentication means is low in safety and easy to crack or forge, so that unauthorized persons can use identities to evaluate, and the fairness and accuracy of the evaluation result are affected. In the related art at the present stage, the biological authentication management for intelligent salary efficiency evaluation has the technical problems of low evaluation comprehensiveness, accuracy and safety. Disclosure of Invention The application provides a biological authentication management method and a system for intelligent payroll assessment, which are characterized in that a user identity authentication feature library is constructed, after a user authentication request is received, the library is called for carrying out biological identity feature authentication to obtain a first authentication result, if the first authentication is passed, user function account data and real-time task data are read, a concerned feature set is configured and executed according to the first authentication, a behavior acquisition layer is activated, behavior biological information such as user key mouse operation, voice tone, frequency and the like is acquired to form a behavior data set, then the behavior data set is scored according to the concerned feature set, a second authentication result is obtained, user state biological information is acquired to generate a state data set, the concerned feature set is combined to score the state data set, a third authentication result is obtained, and intelligent payroll assessment management and other technical means are carried out by integrating the first authentication result, so that the technical problems of low comprehensiveness, accuracy and safety of the existing biological authentication management for intelligent payroll assessment are solved, and the technical effects of comprehensive, accuracy and safety assessor work efficiency are achieved. The application provides a biological authentication management method for intelligent salary efficiency assessment, which comprises the steps of establishing an identity authentication feature library of a user, calling the identity authentication feature library to execute biological identity authentication of the user after receiving an authentication request of the user, establishing a first authentication result, reading function account data of the user and acquiring real-time task data of the user if the first authentication result is a passing result, configuring execution attention feature sets according to the function account data and the real-time task data, activating a behavior acquisition layer, executing behavior biological information acquisition of the user, establishing a behavior data set, performing biological feature scoring on the behavior data set according to the execution attention feature sets, establishing a second authentication result, executing state biological information acquisition of the user, establishing a state data set, performing state scoring on the execution attention feature sets according to the state data set, and performing intelligent salary efficiency assessment management according to the first authentication result, the second authentication result and the third authentication result. In a possible implementation manner, the intelligent salary efficiency evaluation management is performed according to the first authentication result, the second authentication result and the third authentication result, and the following processing is performed, wherein historical health monitoring data of a user is called according to t