The system based on WID identity empowerment, AI talent positioning, brain-computer collaboration skill reinforcement and WCP contribution credit linkage

The system, which uses WID identity verification, AI talent positioning, and brain-computer interface skills enhancement, addresses the pain points of traditional education models, achieves personalized education and fair credit measurement, forms a fully autonomous closed loop, and is applicable to multiple application scenarios.

CN122415286APending Publication Date: 2026-07-17CHONGQING HONGDOUYE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHONGQING HONGDOUYE TECHNOLOGY CO LTD
Filing Date
2026-04-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing education model is mainly based on cramming and rote memorization, which leads to a painful and inefficient learning process. It cannot achieve personalized talent identification, accurate knowledge matching and rapid skill enhancement, and it lacks a unified digital identity system and credit assessment mechanism.

Method used

Construct a system based on WID identity verification, AI talent positioning, brain-computer collaborative skill enhancement, and WCP contribution credit linkage. Through globally unique identity coding, non-invasive brain-computer collaborative learning, and AI level-two security supervision, achieve accurate talent recognition, efficient knowledge empowerment, and fair credit measurement, forming a fully autonomous closed loop.

Benefits of technology

It enables personalized education, improves learning efficiency, ensures identity security, and ensures fair credit measurement, forming a permanent self-governing closed loop, applicable to scenarios such as education, healthcare, social interaction, work, creation, and public welfare.

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Abstract

The application provides a WID identity right confirmation, AI talent positioning, brain-computer collaborative skill reinforcement and WCP contribution credit linkage system, comprising: the WID adopts parent-child association coding to realize unified right confirmation and ownership tracing of natural persons, AI agents and intelligent devices; the AI talent positioning module outputs the optimal growth path of individuals through multi-dimensional scoring; after the knowledge and skill package is structured and coded in a lightweight manner, it is safely pushed by the non-invasive brain-computer collaborative module when the concentration, relaxation and fatigue meet the threshold, and the learning efficiency is improved by more than 500%; the AI secondary independent safety supervision module can block the risk instruction within 10ms; the WCP contribution credit system quantifies the personal value with morality and contribution as the core, and the distributed credit record is tamper-proof. The application forms a complete closed loop of talent identification, knowledge empowerment, skill reinforcement, practice creation, contribution measurement, credit growth and ecological counter-feeding, and realizes the future education ecology of individualized teaching, high efficiency and safety, identity credibility and value fairness.
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