Abstract
With the increase in the number and length of pipelines in China, pipeline damage accidents are increasing as well. Traditional methods do not allow real-time monitoring of pipelines. The development of the Internet of Things has promoted the monitoring techniques and the development of pipelines. But a problem arises as to how to deal with the huge data generated by monitoring systems. This paper proposes a real-time data visualization method for oil pipeline monitoring based on the Internet of Things. In this method, the measurement nodes of the sensing layer collect the pipeline data and transmit them to the server of the application layer through the network layer. A web application is built based on Spring MVC in the application layer of the Internet of Things to process the data through the interaction between the front and the back. The data visualization algorithm based on Echarts and AJAX is used to position the pipelines and the real-time situation of pipeline anomalies. The results show that with this method, the program runs faster and has higher monitoring efficiency, and the poor readability problem of the oil pipeline data is solved.
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