Research on intelligent supervising and control system of aquiculture

The distributed control system is presented which uses personal industrial computers as host computers and many S7-224 programmable logic controllers together with many single chip processors as subordinate computers. Image processing is introduced to automatically diagnose and predict the illness of fish. Remote sampling and control of data are realized by mobile general packet radio service (GPRS) telecommunication technology and Internet technology. The test results prove that this system can automatically supervise and control multi environmental factors such as the value of temperature, quantity of ammonia and nitrogen, dissolvent oxygen in pond and so on. Furthermore, this system can be operated simply and has a good interface. It can diagnose the fish's illness on line, which makes fish grow in the optimum environment. The whole system can improve production remarkably, save power energy and alleviate labor intensity.