2results about How to "Improve detection and maintenance efficiency" patented technology

The utility model discloses a kind of composite sensing integrated cabinet fire extinguishing device, belong to cabinet fire extinguishing device technical field, including fire extinguishing component, the both sides of fire extinguishing component are fixedly installed with clamping plate;Further include the clamping assembly for fixing fire extinguishing component, the clamping assembly includes fixed clamping groove and mobile clamping groove, the clamping plate of fire extinguishing component side is inserted in fixed clamping groove, the fixed clamping groove is fixedly installed in one side of pull-out plate, the clamping plate of fire extinguishing component other side is inserted in mobile clamping groove;The utility model is outwards by setting pull-out assembly, simple structure, it is convenient and practical, can be taken out, to facilitate operator to check maintenance to fire extinguishing component, and by setting clamping assembly, fire extinguishing component can be simply and quickly removed, further improve the detection maintenance efficiency, and after checking maintenance work introduction, fire extinguishing component can be installed quickly, greatly reduce the work difficulty of operator.

This application provides a railway bridge health monitoring system and method based on infrared thermal imaging. The data acquisition device uploads the collected monitoring data to the monitoring center via a local monitoring module. The monitoring center sets a disease alarm threshold; if the difference between the average temperature of the monitored area and the ambient temperature exceeds the alarm threshold, it is determined that there is a potential disease in the monitored area. Then, sensor data from the monitored area is acquired to determine the type of disease, and the disease level is determined based on the bridge temperature data in the monitored area. An alarm is issued and a handling plan is displayed. Simultaneously, the monitoring center performs machine learning on the monitoring data to predict potential disease risks, issue early warnings, and display handling strategies. The technical solution provided in this application comprehensively analyzes the bridge temperature data acquired by the infrared thermal imaging camera and the sensor data acquired by the sensors to determine the type and level of disease and display handling plans, thereby improving the efficiency of detection and maintenance.