Design and application of digital system for agricultural park based on panorama GIS

Abstract: Internet of things (IoT) and big data are both important technologies that are promoting the development of the current society and economy. The key point of the modern agriculture is to upgrade traditional industries by using information technology, to realize the production, management and decision by using data and online service. Agricultural park informationization construction is important starting point of structural reforms for the supply side under the strategy of rural rejuvenation. Taking the agricultural park digital management as an example, in order to solve the difficulties of information resource insufficient and management model needs to be improved, the digital management technology was put forward, which is suitable for small scale agriculture park. By obtaining datas through the approaches such as internet of things, unmanned aerial vehicles (UAVs) and scientific research collaboration, a panoramic geographic information system (GIS) digital cloud service systems with 4 core functions was designed. Firstly, the high frequency concurrent data access framework for MySQL database system, which can scatter the pressure from single storage node to more others, was designed to receive and save the IoT monitoring data with low energy cost and highly reliable extension, the traditional storage mechanism was replaced by unified storage strategy through the peer to peer routing algorithms, which specifying the site and direction of every records, so as to ensure the safety and stability of the data storage system in the data center. Secondly, the park holographic information management system was designed, which can greatly enhance the real scene effect of 2D map from multiple aspects of 3D view, can trigger the query event like IoT monitoring data query and analysis based on the accurate conversion of the coordinates between panoramic image and panoramic hemisphere, can realize 3D management with much lower cost than traditional 3D modeling by processing UAVs images and setting active points. Thirdly, in order to meet the urgent need of deep mining analysis of IoT monitoring, the online data mining analysis model,was designed, which can reduce the dimension of IoT monitoring data based on optimizing the parameters in ARIMA (p, d, q) model based on differentiation process and the stability of analyzed datas, and other models such as AR (p), MA (q) and ARMA (p, q) under the premise were also consisted. Finally, in order to meet the urgent requirements of result analyz of variety breeding and cultivation pattern test under background of resources endowment, the collaborative analysis of experimental datas was researched and developed to solve the interdisciplinary analysis problems between analysts and agricultural technology personnel. On the basis of all above, because of the advantages of light weighted technology architecture and strong extensibility of digital resources integration pattern for the cloud service system of digital agricultural park, the digital system for agricultural park based on panorama GIS can not only upgrade the level of precise agricultural production and management by the core digital data services based on the technologies of IoT and panorama GIS, but also can provide technical support to achieve "high quality, high efficiency, ecology, safety" for agriculture production.