Online inspection identification method and system based on multi-source data

• Main Authors: LYU SHUNLI, LI ZHIJIAN, HOU YU, MEI DEDONG, ZUO HONGBING, WANG WEI, CAO DONGHONG, ZHANG PENG, TONG YANG, LUO XIN, DENG FENG, DONG XUAN, LI JINBO, GUO ZHONGQI, YANG JIANXU, ZHANG HAIBIN, TENG YUN, LIU SHIYU
• Format: Patent
• Language: Chinese; English
• Published: 05.04.2022
• Subjects: ACOUSTICS; ALARM SYSTEMS; CALCULATING; COMPUTING; COUNTING; MUSICAL INSTRUMENTS; ORDER TELEGRAPHS; PHYSICS; SIGNALLING; SIGNALLING OR CALLING SYSTEMS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION

The invention discloses an online inspection identification method based on multi-source data. The method comprises the following steps: training an identification model by using visible light pictures of primary equipment in different weather scenes; performing health recognition on the primary equipment visible light picture collected on site through the trained recognition model; performing health identification on the primary equipment through the collected infrared image of the primary equipment; performing health recognition on the primary equipment through the collected voiceprint of the primary equipment; performing health identification on primary equipment through sensing layer sensor data; performing health identification on the primary equipment by collecting primary equipment protection measurement data; judging the health condition of the primary equipment according to the health recognition result of the collected visible light pictures of the primary equipment in different weather scenes; the