| Since twenty-first Century,the Internet of things,large data,cloud computing technology has developed rapidly.Researchers using wireless sensor technology for complex forest monitoring and fast,accurate management has become an important trend of intelligent development of the forestry industry,forestry workers can not only reduce the burden of work,but also provide the scientific and effective decision-making data services in the field of forest ecological monitoring and forest fire prevention.With the sensor node forest monitoring system,increasing,monitoring data are showing the characteristics of big data,forestry network data transmission of monitoring data,how to quickly and effectively in complex forest within the effective supervision of many sensor nodes and analysis mass has become the technical problems of forestry scientific research workers to solve.Aiming at the above problems,this paper summarizes the existing problems and needs of forestry Internet of things,and studies the wireless transmission technology,visualization technology and OID coding technology.Combined with the development status of forestry Internet of things,it designs the OID identification system of forestry Internet of things.Finally,based on the research results,the data management platform of the Internet of things is designed and developed,which provides a platform for the visualization management and scientific decision-making of forestry researchers.In this paper,the main work can be summarized as follows:1?An overview of the research areaThe field survey of the eucalyptus plantations in Nanning,Guangxi,was carried out to fully understand the comprehensive information such as geographical location and climatic characteristics of the test site,determine the sample plot range.At the same time,the current five mainstream wireless transmission scheme are compared and analyzed.On the basis of summarizing the technical requirements of the test field monitoring network,the Lo Ra technology is determined to support the wireless transmission of this experiment.And the deployment scheme of sensor nodes and the attributes information of each sensor are introduced in detail.2?Research on OID technology and visualization technologyAt present,the development of visualization technology,such as ECharts,Tableau and D3.js,is relatively mature,and the application is relatively wide.In this study,various visualization technologies are analyzed,and the principle features and applicability of various visualization techniques are compared and studied.According to the present data visualization requirements of the forestry Internet of things,the appropriate visualization technology is determined as the support of platform research and construction.At the same time,the OID technology is studied and the OID identification system of the forestry Internet of things is designed.3?Design of data management platform for Internet of thingsAccording to the research results and combined with cloud technology,the data management platform of the forestry Internet of things is designed.It mainly designs from the overall framework,functional modules,storage architecture,business logic and other aspects,including landing module,data management module,data sharing module and system security module.4?Realization of data management platform for Internet of thingsBased on the design of the data management platform of the Internet of things,the coding implementation of various functional modules is carried out,and the related core codes and main functions are briefly introduced.Meanwhile,the rapid positioning of sensor locations and query attributes in the management platform through the OID identification code verifies the scientific nature of the OID identification system of the forestry Internet of things and the feasibility of the platform.This research provides a standard and open resource sharing platform for researchers.The platform is based on the unified OID coding system to identify and manage all sensor nodes,and achieve fast access and precise location.At the same time,visual display of sensor nodes,real-time display of monitoring data and visual analysis are provided based on visualization technology.The cloud storage function of the platform also provides great convenience for the researchers.Researchers can download demand data at any time and anywhere,and realize data sharing.In addition,researchers can also flexibly add sensor nodes and monitoring factors according to the demand for supervision of the forest area.In conclusion,the data management platform of the Internet of things,which is designed and implemented in this research,has strong generality and extensibility,and has high value for promotion and application.It provides platform support for forestry researchers in visual monitoring,data analysis and data sharing.It also provides a scientific and effective new way of thinking for smart forestry. |
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