| With the improvement of people’s living standard and the increasing demand for aquatic products, China has become one of the largest aquaculture and consumer countries. In2012, the national aquatic production reached59.06million tons. The huge economic benefits were brought. Crab is one of the major aquaculture species, and it is one kind of delicious and nutritious food. In addition to food, some parts of the crab can also be used in industrial production, medical treatment and other aspects. The social benefits are achieved significantly. Crab breeding widely distributes in China, and there are several breeding methods, such as pond breeding, lake breeding, and fence breeding. Due to the characteristics of the geographical environment, pond breeding is one of the mainly methods. Although pond breeding is more convenient and less investment, there are also some problems, such as scattered farming, lack of standardization guidance, and so on. All these disadvantages result in a low degree of automation of the breeding process, large differences in product specifications, serious diseases, lack of product safety and many other issues.In order to solve these problems in crab breeding, some of the key technologies of intelligent support system for crab breeding were researched, which was based on the demonstration projects of internet of things in Jiangsu province. The work mainly focuses on the following aspects.Firstly, research on technology of collecting large-scale, multi-data was carried out. According to the actual situation of crab breeding in ponds, the technology of wireless sensor network was introduced, and a breeding center based on the wireless sensor network system was established. Through in-depth study on topology algorithm of GAF, one kind of improved topology algorithm of GAF-G was proposed. The improved algorithm implemented the topology of fixed clustering, the fixed cluster head, and implemented communications in clusters. Based on study on distribution of the main water factors in crab ponds, the deployment of sensor nodes was determined and the optimal allocation was achieved. Secondly, research on the intrinsic link between each water factor in crab ponds was carried out. Based on analysis of the intrinsic relationship of each factor, one kind of fuzzy PID algorithm was proposed to control dissolved oxygen in crab ponds. The results of simulation and actual testing confirmed the control effects.Thirdly, research on the evaluation system for pond water quality, and evaluation methods were carried out. According to experts’advice, the most important indicators for water quality of crab ponds were determined:dissolved oxygen, pH, temperature and salinity. In addition, quantitative classification of four indicators was divided into Ⅰ～Ⅴ level. Several evaluation algorithms’for water quality were introduced in details in the evaluation system, and through several application examples, the advantages and disadvantages of different algorithms were described.Fourthly, research on crab breeding expert support system was carried out. The development and applications of expert system in agriculture were described, and the reasoning mechanism of expert system was discussed in details. One kind of knowledge base for crab breeding was established. Through in-depth research on Rete algorithm, one kind of improved matching algorithm of Rete was proposed based on method of index. By analyzing the working process of conflict set, one method based on chain was introduced. The improved effectiveness of new method was confirmed by simulation.Finally, the system integration of intelligent system was implemented, the technology of network, database and communications were adopted to accomplish the intelligent system. |
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