Real-time Online Alerting Method for Environmental Abnormalities in Urban Cable Wells Based on Visual Tracking Model of Image Key Points
The use of urban underground space to build electric power equipment and energy infrastructure can effectively solve the contradiction between urban development and electric power construction.As an important part of the electric power system,cable wells are affected by factors such as imperfect and untimely detection of information in the wells,which makes it difficult to ensure the stable operation of cable pipelines.Research on the real-time online alerting method of urban cable well environment abnormality based on image key point visual tracking model.According to the actual envi-ronmental state of the monitoring site and the operating parameters,infrared detectors and sensors are configured to col-lect on-site monitoring data within the communication network on the basis of dividing the urban cable well environment online monitoring unit.The image key point visual tracking model is selected to establish the coordinate system,obtain the projection coordinates of key point imaging,and determine the pixel point positioning information with offset relationship and projection function.Set the infrared array digital determination structure,increase the key point tracking refresh rate while avoiding the influence of offset,store the output data of the sensor with programmed filter,and calculate the actual measurement information of individual pixel points.Set the abnormal wake-up module to receive abnormal information,report data information when abnormalities occur in the urban cable well environment,and complete real-time online aler-ting of abnormalities within the environment with the designed wake-up time given edge wake-up mode to achieve the method design.The experimental results show that:Taking the humidity and temperature in the cable well environment as the monitoring objects,the method in this paper can accurately output two sets of data,and send out alarm signals in time when there are abnormalities,which has application effect.
万方数据
维普
