Study On IOT System Of Space Structural Health Monitoring Based On Cloud Computing

As the application of the intelligent sensing and wireless-grouped network technology in the field of structural health monitoring becomes increasingly popular in recent years, the structural health monitoring projects targeted at the large-span spaces involved with the important public security, such as the railway station, airport and sports venues, have emerged in an endless stream, thus accumulating massive monitoring data. Under the general background of the arrival of the big data era, it has become an irresistible trend for the industrial development to achieve the organic integration of space structural health monitoring and Internet of Things and realize the overall perception, intelligent processing and visual design of the monitoring data.In order the realize the in-depth application of Internet of Things in the health monitoring, as well as the systematic, digital, and intelligent monitoring, this paper draws reference from the research experience in relevant fields and considers the structural characteristics and computing tasks of the health monitoring data. It takes the whole-cycle chain including data acquisition, transmission, storage, post-processing, and presentation as the main line of research, and establishes a space structural health monitoring IOT system based on cloud computing.First of all, by drawing reference from the application status of IOT in other engineering fields, it sums up the general IOT system into three levels. In addition, with the combination of the implementation flow of the space structural health monitoring, it proposes the overall framework of the space structural health monitoring IOT system, and analyzes and determines the work division of each internal functional sub-level. It also completes the task arrangement of cloud computing in the health monitoring by using the flexible and scalable resources of cloud computing.Then it designs and develops the most key application level in the IOT system framework. It demonstrates the computing feasibility of each task from the perspective of computing flow, thus realizing the IOT system's high-efficient intelligent post-processing of the monitoring data. At the same time, it optimizes the fuzzy evaluation method of the space structural health condition from two aspects of index system and rating mechanism, and improves the credibility of the evaluation results. Moreover, by using the seasonal model and intervention analysis in time series method, it screens the regular abnormal values in the real-time monitored series, so as to analyze the disturbance of the internal and external factors on the structural components.With the securitization presentation mode as the reference, it proposes to package the monitoring information such as strain of each project in the form of standardized K-line (Candlestick chart). At the same time, it creates the technical indexes which can reflect the current situation of the single structure or overall structure, such as bearing capacity and abnormal degree, so as to present the data with K-line chart as assistance, thus improving the deficiencies in the current monitoring information visualization.Finally, in face of the three engineering application cases of large-span space structural health monitoring, including National Stadium, Hangzhou East Railway Station, and the main stadium of Hangzhou Olympic Sports Center, it selects the public cloud service as the development platform and carries out interactive development of the cloud intelligent processing mechanism and the fore-end of each terminal. Finally, it establishes a space structural monitoring cloud and realizes the functional needs of data dynamic visualization, post-processing application, and overall storage and management. So far, it has finished the complete establishment of the space structural health monitoring IOT system.