一种基于多源数据融合的电力杆塔监测系统及方法
The power pole monitoring system, which integrates multi-source data, analyzes target movement using image and environmental data to construct a two-dimensional grid risk model. This solves the problems of misjudgment and missed reporting in existing systems and enables precise expulsion and adaptive actions.
CN122416705APending Publication Date: 2026-07-17NANJING NEW YUEYANG TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING NEW YUEYANG TECH CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing power pole monitoring systems cannot achieve precise pointing, are prone to misjudging non-target movement as intrusion, and have difficulty identifying stationary targets, leading to false alarms and missed reports.
Method used
By employing a multi-source data fusion method, the target's azimuth angle is analyzed through image and environmental data to construct a two-dimensional grid cumulative risk value. Combined with the activity intensity index and risk pattern coefficient, the target pointing and graded early warning are generated.
Benefits of technology
It improves the accuracy of risk assessment, reduces false alarms and false negatives, and enables precise positioning and adaptive expulsion actions for multiple targets.
✦ Generated by Eureka AI based on patent content.
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Figure CN122416705A_ABST
Abstract
本发明公开了一种基于多源数据融合的电力杆塔监测系统及方法，涉及电力杆塔监测技术领域，本发明同步采集目标图像、环境数据和目标方位角度，分析图像坐标到电机角度的线性映射，并采用风速风向的滑动窗口差分法剔除瞬时扰动；基于目标图像分析目标方位角度序列，通过比较相邻时刻内角度变化的方向一致性程度，分析目标运动情况；以电机角度平面构建二维网格，分析各个网格单元的累积风险值；根据累积风险值的统计情况，并根据统计情况生成当前风险等级及驱逐目标指向；根据驱逐目标指向与当前电机角度的差值生成电机指令；根据风险等级以及风险形态系数，执行分级预警和驱逐动作。降低计算资源消耗，减少误报和漏报。
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