Ship Refrigerated Containers Remote Fault Monitoring Based On Neural Networks, Early Warning And Diagnostic Research

With the quickening step of the globalization of world economy and the great development of information technology, especially the representative of IT of the advanced technology develops changing with each passing day. It influences the world economy and social life widely and profoundly. The globalization of world economy and information network are interrelated and mutually dependent obviously, with the development of world economy globalization, the trade of different nations becomes more and more frequently. Because of the advanced refrigeration container, it can keep fish , meat ,fruit .vegetable ,and fresh flowers in the optimum temperature so to be shipped to anywhere in the world frequently and convinently. So the great development of refrigeration container has become an important transportation means in international commercial.But because refrigeration container is a mobile cold storage if the mistake of one part will bring great loss, so its transportation is a systematical project. With the increasing transportation of refrigeration container, if mechanism problem, improper goods storage, not controlling the temperature effectively and the bad quality goods happens it will bring great financial loss and bad reputation to the shipping company. In order to reduce the damage of goods, make sure the responsibility, and reduce the transportation cost, it is necessary to establish a long-distance failure diagnosis system of refrigeration container. The article uses the multi-technology of computer network, integrated information, experts system-long-distance failure controlling, forewarning and diagnosis technology the long-distance failure controlling of refrigeration container shipping, forewarning and diagnosis system.The article is divided into 5 parts. The first part puts forward the background, significance and content of this problem. The second part shows the internal and external current research situation of long-distance failure diagnosis technology, the failure diagnosis technology by man-made nerve network and the controlling system of refrigeration container The third part introduces the man-made nerve network and establishes BP nerve network failure diagnosis model on the basis of BP nerve network and also introduces the technology and structure of long-distance failure diagnosis and establishes the long-distance controlling of refrigeration container shipping, forewarning and diagnosis system. The fourth part introduces the refrigeration container shipping's refrigeration system and investigates and analyzes the failure by using the analyzing way of failure tree. It establishes the refrigeration container shipping failure information data base by using the refrigeration container experimental flat in Shanghai Maritime University. The fifth part develops the refrigeration container failure controlling, forewarning and diagnosis system on the basis of BP nerve network and using 6.5.1. this software control the refrigeration container parameter, forewarn the failure and solve the problem by inquiring the failure information data base.