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Research On The Information Management System Of Ocean-going Fishing Fleet Supply Based On IOT

Posted on:2018-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:S F WangFull Text:PDF
GTID:2348330536477357Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
At present,human society has entered the information age,the runing mode of the traditional indrusty has not adapted to the development of modern society."Internet+" combines the traditional indrusty,the Internet,Internet of things and other technologies to improve the traditional industry viability and competitiveness.And ocean fishery also belongs to the traditional indrusty,the original production model is difficult to adapt to the rapid development of the information society.China is a fish productional and trade powerful country.Fishery production as the protein content of high food has occupied an increasingly important role in people's daily life.Because of the pollution of sea and the overfishing,ocean fisheries become the development direction to meet the needs of the domestic market.China's fishery sector advocates the coastal cities to build large-scale fleet,and continue to customize the enterprise's own system of information management system,in order to the international competitiveness of china 's ocean fishery.With the continuous expansion of ocean-going fishing fleet,the database of the fleet generated more and more huge and complex.Relying on the artificial management simply in the shore management center is bound to affect the efficiency of the supply to ships.Utilizing Internet of Things technology to realize optimized the supply of ocean-going fishing fleet can not only speed up the efficiency of information mining,but generate a reasonable supply program to reduce the operating costs of the supply ship.After the field research of the offshore fishing companies and ocean-going fishing fleet,the paper the status of supply of fishing fleet,then combine the RFID tecnology,Beidou tecnology and the data mining technology to establish the Information Management System of ocean-going fishing fleet supply on Internet of Things.After analyzing the status of the Internet of Things technology,the ship information management system and the supply of the ship,the paper puts forward the demand of ocean-going fishing fleet supply information management system.The system mainly for the use of goods on board information,inventory information and application of information management,and transports the information through the Beidou satellite communications technology and wireless network communications technology to the shore management center.The material using information can be divided into manual input and scanning RFID tags automatically entered.The shore management center will analyze all the information through the data mining technology,to access to the data needed for the supply program,to obtain the data needed for the supply program,and display the date in an electronic chart in the system.The paper has a brief description of the relevant technology: RFID technology,Beidou satellite communications technology,the principle of data mining technology.In this paper,the Apriori algorithm is used to analyze the acquired data.Association rule mining is a classical method in data mining technology.Compared with the original,the modified Apriori algorithm only needs to scan the database once and convert all the items in the transaction set into nodes of the multi-tree.According to the frequency of the node object and min-sup for pruning operations,delete less than min-sup nodes and their sub-nodes after the frequent itemsets.And using simulation experiments to compare them with several other improved Apriori algorithms under different min-support and different transaction quantities,which proves that the improved multi tree based Apriori algorithm is superior to other improved Apriori algorithms in data mining efficiency.Finally,according to the B/S system development mode,the improved Apriori algorithm based on the multi-tree is embedded in the system in the Eclipse development environment,and the JAVA programming language and Baidu Map API technology are used to realize the information of the ocean-going fishing vessel based on the Internet of things System development.The front desk for goods management mainly includes the information and application information input,retrieval of goods and information application information query.The backstage management mainly includes the system administrator of the system management,the audit management of input information,RFID scan information management,and management of the ship supply routes.
Keywords/Search Tags:Internet of Things, Ocean fishing vessel, supply problem, data mining, Apriori algorithm improvement, supply information management system
PDF Full Text Request
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