Tri-modality fusion imaging system for the electric power industry

Xiaohan Lai, Zhiwei Deng, Jinxia Jiang, Yunye Wang, Zhengbo Chen, Yiyang Yao
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Abstract

The tri-modality fusion imaging monitoring system is a challenging technique due to the long-standing problem of the observation and registration of high-dimensional data. With the increasing load of the power grid and expansion of construction scale, most of the existing traditional single sensor imaging techniques are difficult to diagnose system error comprehensively, which brings disregardful trouble to the safety of power equipment. This paper develops a new tri-modality fusion spectral imaging system for collecting ultraviolet-visible-infrared images. Specifically, we realize real-time synchronous acquisition for the same scene with a single piece of equipment. Simultaneously, the system can acquire information on the object’s temperature, discharge, and texture details, which drastically enhances the comprehensiveness of analysis for grid status diagnosing.
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电力工业三模态融合成像系统
由于高维数据的观测和配准问题一直存在,三模态融合成像监测系统是一项具有挑战性的技术。随着电网负荷的增加和建设规模的扩大,现有的传统单传感器成像技术大多难以全面诊断系统故障,给电力设备的安全带来极大的困扰。研制了一种用于紫外-可见-红外图像采集的新型三模态融合光谱成像系统。具体来说,我们实现了单台设备对同一场景的实时同步采集。同时,该系统可以获取物体的温度、放电和纹理等细节信息,大大提高了网格状态诊断分析的全面性。
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