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Fresh agricultural products and keeping live transportation in the process of cold chain requires accurate monitoring and controlling of transport micro-environmental gas concentration, thus real-time accurate monitoring and controlling all kinds of micro-environmental gas concentration is particularly important. In the longterm monitoring of gas concentration, the sensor will drift and show the phenomenon of weak stability, resulting in reduction of monitoring accuracy and low efficiency of controlling for preservation. Aiming at this problem, the design was based on wireless sensor network gas sensor for on-line calibration method, fusion techniques were used to do periodic election of logistics monitoring with distributed deployment of wireless gas sensor, measurement accuracy and stability of the leader of sensor node group were selected as a reference, dynamically calculated the change of terminal sensor drift characteristic parameters, and wireless communication technology was used to complete correction of various types of gas sensing output mapping parameters in order to calculate dynamic mapping between output signal and gas concentration. The method can realize dynamic calibration of on-line gas concentration sensing without replacing gas sensor, and output of gas sensor in the transportation was optimized as a whole to improve the accuracy of acquisition. The method was verified by low-temperature sturgeon water-free dormant keep-live transportation tests, monitoring and calibration of concentration information for the important environmental gas CO2, O2, NH3 and so on. The evaluation test was carried out by using high precision and calibrated gas concentration data recorder as standard for measurement of gas concentration for the micro environment of transportation. Experiments show that the sensor output signal for TTL level of CO2 sensor can improve the measurement accuracy by 3.28%. The precision was inferior to linear or nonlinear output functions of gas sensor;for concentration output mapping of nonlinear signal, the NH3 gas monitoring accuracy can be improved by 4.14%. The calibration method for sensor output concentration mapping for linear function of oxygen gas sensors’ calibration was the best and the monitoring precision can be improved by 4.71%. Comprehensively comparing the monitoring data of gas concentration change, this method can significantly improve the accuracy of gas monitoring, which provided basis for precise monitoring and controlling of cold chain transportation micro environment gas concentration.