The invention relates to the technical field of
food safety, in particular to a real-time monitoring method and
system for a
food storage environment, and the method comprises the following steps: obtaining temperature,
humidity and illumination parameter state values based on the real-time
monitoring data of the
food storage environment, collecting the multi-parameter state, comparing the multi-parameter state with a storage standard, and determining the real-time
monitoring data of the
food storage environment; and adjusting the running speed of the fan and the starting duration of the
refrigeration equipment according to the comparison difference value, and generating an environmental parameter dynamic adjustment result. According to the method, environmental parameters such as temperature,
humidity and illumination are obtained and compared with standard storage conditions, operation of a draught fan and
refrigeration equipment is dynamically adjusted in real time, the storage environmental conditions are optimized, it is ensured that food is kept in an ideal state, the environmental parameters are mapped to the
food quality guarantee state through a neural network, parameter setting is optimized step by step, and
food quality guarantee is achieved. The influence of environment quality on food is accurately predicted,
optimal matching of storage conditions is ensured, optimal configuration is selected through cross combination scoring, equipment response is more sensitive, and energy waste is reduced.