| In recent years, safety issues relating to pig foods have continuously happened and the price of pork has fluctuated in a large scale, which have seriously impacted the people’s health and the society’s harmonious development. So, it’s very important to implement the safety early-warning in the process of pig breeding. Under this background, starting from the production process and consuming process of pig breeding, this dissertation presents function structure and system architecture of safety early-warning DSS of pig breeding on the basis of data mining, then, this DSS is designed with the model base and knowledgebase as its core, database and computer network technology are its assistant parts. In the development of this DSS, software engineering methods, J2EE framework technology, MVC design pattern and database visiting technology are used. In the final, the feasibility of this DSS is proved through the example of the pig breeding in Ningxiang county. Main works of this dissertation are as follows:(1) After the in-depth research of some key technologies, such as safety of pig breeding, data mining and DSS, DSS based on data mining is introduced into the safety early-warning DSS of pig breeding, new ideas of system designing are brought up, the architecture and functional modules of this system are designed.(2) Focuses on the design of this DSS’s databases, model bases and knowledge bases, analyzes the evaluation index system of pig breeding, a series of models on the early-warning of pig breeding have been built, and with the help of cluster analysis, coarse set and correlative rules, the mining of the knowledge on pig breeding has also been done.(3) The safety early-warning DSS of pig breeding is implemented based on the platform of Java, MyEclipse, MySQL and Tomcat, the example of Ningxiang county shows that this DSS has got a good practical result, can exert its action in leading the safe production and effective avoiding of risks from market for farmers. |
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