Real-time monitoring method of pipeline deformation based on Internet of things

With the increased number and extended length of oil pipelines in China, accidents caused by pipeline damages show the same trend. Traditional monitoring methods mainly adopt regular manual detection which, though easy to operate, yet cannot realize real-time monitoring and deployment. This paper puts forwards a real-time monitoring method based on the internet of things technology for monitoring pipeline deformation. In this method, the pipelines’ attitude angles at certain location are firstly obtained by the inclinometers-based sensing nodes. The measurement results are then delivered to the sink nodes by short-distance wireless communication modules. The sink nodes can upload the measured data to a cloud server by long-distance wireless communication modules. At the same time, anyone who are permitted to get access to the server’ database can obtain the real-time data and then process these data with proper way. In this paper, cubic spline interpolation algorithm is used so as to obtain a deflection curve of the pipeline’s profile. Visual graphics technique is utilized to display the real-time deformation of pipelines. At last, the feasibility of the proposed method is verified by a series of testing.