Research Of Geological Informationization Based On IoT And Cloud Computing In Big Data Era

The data take place ‘big explosion’ under the promotion of development of Internet ofThings, cloud computiong and mobile internet. Its scale rises exponentially and it entersthe big data era using ZB as the basic unit（1ZB=1024EB=1024×1024PB=1024×1024×1024TB）. The hot focus of research is to dig ‘big data’ to mine some ‘rich deposits’those hide its inner. It brings a series of challenges and opptunities from data acquision totransportation, storage, manipulation, share and analysis of data. The geologicalinformationization level will improve much after integrated IoT and Cloud Computingtogether. This paper does a lot of study on domestic and foreign research conditions aboutbig data, Internet of Things and cloud computing and then expands the research on thesetechnolgoies in the geological survey field combining with the requirements of geologicalsurvey informationization.The framework of full process informationization is raised in this paper that fromwild data collection to store, organization, and management and field application based onthose technologies such as IoT and cloud computing and so on.The whole framework and physical deployment of Geological Internet of Things（GIoT） is designed with the enough understanding of application status in geologicalsurvey field and needs of GIoT. Thinking about the application needs of nationalgeological materials to propose to use RFID, sensor and robots to implement orderedintelligent management for geological material. This paper put forward a scientificsolution to manage geological equipments based on IoT. This solution is applied to thefirst IoT project in Beijing “The system construction of geological disaster monitoringabout highway high slope”. Using some IoT devices such as udometer, tensionmeter andcamera to collect data in the field, and then transfer data through the network. After havereceived the data, those can be showed in two or three dimension, filtered and earlywarning analysis. Finally the paper forecast the application trend in the geological surveyfield.Cloud computing is used as technology method, massive geological data storagemanagement and analysis application as motive power,’information find deposit’ in prospecting breakthrough strategic action of MLR as holds for hands,the software andhardware environment of the key laboratory of geological information technology of MLRas cusion to raise the construction methods of geological cloud computing （GCC）platform. Then it designed the whole view and architecture of GCC. The geological cloudstorage solution uses Xen that one of visualization methods to realize the resourcemanagement of software and hardware. The geological cloud computing platform（GCCP）is constructed based on Service-Oriented Architecture. The platform integrates and sharesa great number of distributed web services with geological information ‘One Map’ conceptand contributes the management methods for services ring and show tactics of data fusion.The services are issued by various servers that content of those comes from geologicalmap, geological disasters, mining rights check and so on. The geological information onestop application（GIOSA） is programmed by rich internet application technology andusers can access the resources in the cloud through the network only without think aboutthe data come from where or IoT.Using the needs of mining rights edit and review of key geological exploration andbusiness requirements of fornt-line staff and experts to design the rules of reasonableanalysis of mining rights set considering geological background.The development and review aided system for mining rights set（DRASMRS） isdeveloped by ‘One Map’ concept and it integrates geology,mineral,gravity, natural heavyminerals, magnetic, remote sensing data into system smoothly. DRASMRS focus on thegeological characteristics and ore-controlling factors of deposits in the mining rights setarea. The system completed the edit and review works of the second batch of31miningrights set solutions in the country. The results show the system can raise work efficiencyand accuracy and scientificity of mining rights set dramatically. The data check tool ofmining rights check is designed and developled based on rule base. The tool is used in thenationwide and the data quality of about150thousand mining rights is guaranteedeffectively.