目的 为准确表征果蔬气调保鲜环境参数，提高多点多源信息的智能感知能力，实现环境精准调控。方法 设计集温度、相对湿度、氧气和二氧化碳浓度监测为一体的保鲜环境信息感知的无线透传单元，利用监测存储的历史数据，基于动态自适应预测模型修正休眠时长，延长无线透传单元的续航时间。构建基于Zigbee的无线网络，采用基于时空序列融合算法的数据融合，搭建气调保鲜环境调控试验平台，以土豆为试验物料开展保鲜试验。结果 试验表明，基于递推估计理论的温度全局融合值反馈迅速，自适应调控特性更强，能准确地表征试验厢体的温度均匀性分布。结论 以该信息感知系统表征环境参数，并作为系统输入，可实现保鲜环境参数的精准调控，降低能耗。

The work aims to accurately characterize the environmental parameters on modified atmosphere preservation of fruits and vegetables, improve the environmental information-aware ability of multi-source information and realize precise regulation. The wireless transmission unit with multi-source information perception such as temperature, relative humidity, oxygen and carbon dioxide concentration was designed. Based on self-learning dynamic prediction model, the dormant duration was corrected according to the historical data stored in the monitor to extend the endurance of the wireless transmission unit. The wireless network was constructed based on Zigbee. The information-aware mechanism based on temporal and spatial sequence fusion algorithm was put forward, and the liquid nitrogen filling test platform was set up with potato as material to carry out preservation filling test.The experimental results showed that the temperature fusion based on recursive estimation theory can rapidly respond to the information fusion value. It had high self-adaptive regulation features and can more accurately characterize the temperature uniformity distribution on the test box. Charactering the environment parameter with the information-aware system as system input can achieve accurate control of the preservation environment parameters and reduce the energy consumption.