Multi-parameter live detection and fusion diagnosis of medium and lower voltage switch-gear cabinet (M-LVSC) is an important technology for identification the operating status of power equipment. Under the operating conditions, a single sensor(UHF,thermal infrared,ultrasonic partial discharge detection) in the distribution equipment cannot judge the complex faults.The objective of this research is to develop fusion diagnosis and techniques for detect the state of 10kV and 400V distribution equipment in the switch-gear and its bus, identifying any abnormal conditions, by the infrared camera method and UHF partial discharge detection. The condition data of the equipment from these sensors is collected and analyzed to from the operating conditions by intelligent monitoring data technology for power distribution equipment.Under the background of big data cloud platform, overheat defects and discharge defects were captured and deeply analysis by UHF and infrared camera method. Fusion diagnosis provides an intelligent decision scheme for power distribution equipment fault diagnosis under operating conditions. The fusion recognition by comprehensive detect for a M-LVSC contactors power line and terminal board were verified in power distribution site.