Construction of cold chain decision support system for aquatic products

To solve the lack of analysis of the relationship between the environmental information and the quality information for the fish in the cold chain, this paper takes the information of aquatic product cold-chain logistics as application object, which could be decomposed into two sets of events and status parameters by the time-temperature data to describe the information during processing, storage and transportation. The decision support information could be acquired by applying this description by the events and states data sets. A diagnostic threshold model for operation standerd criteria and a quality evaluation method according to the time-temerature were proposed to meet the safety analysis of the cold chain. At last, takeing the cold chain logistics of Tilapia as example, the decision-making program of cold chain was constructed. The quality of tilapia could be divided into 5 intervals. Selecting the fourth interval (0.2-0.4) as the safe quality of tilapia by the model, the shelf life of tilapia was 18 days, which was compared with the actual shelf life for 17.13 days by less errors.The results showed that the information of cold chain could be managed effectively by this information analysis method.