The Earth Exploration Instrument Comparison Information Sharing System

The deep earth exploration is an important exploration method to understand thegeological structures of underground and find new resource，it has importantsignificance for solving the scarcity of resources, warning of geological disasters, andpromoting the development of geological research. As earth’s the deep explorationproject research subject, the research and development level of the earth explorationinstrument is an important indicator for evaluation of the national deep earthexploration program undertaken extent. Because of the deep earth exploration projectscarried out late, resulting in the level of exploration equipment independentlydeveloped in China is relatively backward. To promote the Progress of explorationequipment and shorten the gap with the international advanced instruments，wepropose to build the Earth exploration equipment compared information sharingsystem and create exploration instrument library，we also build Xingcheng deepearth probing field experiments demonstration bases to provide a venue for the fieldexploration experiments testing of the instrument. The system will providecomprehensive exploration instrument comparison relevant information forresearchers and users.First, we will analyze the data related to the Earth exploration equipmentcomparison information sharing system Comprehensively， and structure suitablestorage model for instrument comparison relevant information based on the datacharacteristics, and design system database based on data storage model, complete thefull coverage of the instrument comparison relevant information stored.Secondly, according to the characteristics of the system data we design systemarchitecture and system features targeted. We use the ASP.MVC frame mode whichfits the large browser System to make a clear division of system structure, that willimprove the utilization of the program and reduce the coupling between the various structural， thereby improving system development efficiency and ease ofmaintenance and late update.Finally, we make the system database optimization according to the big dataenvironment by proposing a new parallel database query optimization algorithm basedon simulated annealing algorithm. This new algorithm can solve the problem thatsimulated annealing algorithm can’t do well in both search accuracy and convergencetime. By using ADO.Net EntityFramework we achieve to operate databaseobject-oriented, which greatly facilitates the data transfer.