According to the demands of monitoring method for animal transports, this paper proposes the use of a BP neural network based algorithm to monitor the animal transports, using the wireless sensor network to monitor the environment during transport to assure the animal welfare. The algorithm requires data collection on the transportation cage with respect to temperature, humidity, air pressure, vibration and animal pulses, and is composed of two parts: early-warning and evaluation. The two parts comprise of Statistical Process Control model for early-warning and Fuzzy Logic model for evaluating, respectively. Performance tests reveal the technical feasibility of the monitoring algorithm for animal transports.