高压配电盒智能控制方法

By performing potential atomic abstraction and causal structure modeling on the high-voltage distribution box signals, a time-staggered compensation matrix and a self-referential inference chain are constructed. This solves the problem of insufficient identification of cross-time-slice abnormal combinations in existing intelligent control methods for high-voltage distribution boxes, and realizes efficient and reliable adaptive adjustment of control strategies.

CN121332890BActive Publication Date: 2026-07-17ANHUI HECHU NEW ENERGY TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ANHUI HECHU NEW ENERGY TECH CO LTD
Filing Date
2025-08-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing intelligent control methods for high-voltage distribution boxes ignore potential abnormal combinations that span time slices and are triggered by delays when identifying abnormal events. They rely on simple threshold judgments, which leads to false alarms, missed alarms, and unstable control strategies. They lack cross-time slice causal relationship modeling and logical self-consistency verification, making it difficult to guarantee system safety and reliability.

Method used

By collecting electrical, environmental, and protection signals from high-voltage distribution boxes and abstracting them into potential atoms, a heterogeneous mapping mechanism is used to identify multidimensional potential causal structures, construct a time-interleaved compensation matrix, establish a self-referential inference chain for logical reconstruction and self-consistency verification, generate a potential chain control channel, and automatically correct the control strategy through an entropy collapse mechanism.

Benefits of technology

It enables effective identification of delayed-triggered hidden dangers, reduces false positives and false negatives, improves the security and stability of the system, ensures the adaptability and reliability of the control strategy, and enhances the ability to manage the logical relationships of multi-source signals in complex environments.

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Abstract

本发明属于电力配电控制技术领域，本发明公开了高压配电盒智能控制方法，包括对高压配电盒的电气、环境和保护信号进行采集，将各类信号抽象为潜势原子；通过异构映射机制，自动识别信号间的多维潜在因果结构，得到可用于逻辑配对的潜势原子集合；基于潜势原子集合，预设时间错位窗口，识别不同时间片中存在潜在因果关系的环境异常与电气异常组合；构建时间交错补偿矩阵，将环境异常与电气异常组合进行配对映射，形成延迟触发型隐患组合；建立自指推理链，对延迟触发型隐患组合进行逻辑重建，判断对应的隐患类型；并对推理链自身的因果逻辑进行自洽性校验，将未通过校验的隐患类型隔离并单独监控；实现高压配电盒在异常条件下的智能化保护控制。
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Citation Information

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