Intelligent scheduling method and system based on temperature control path of poultry product cold chain circulation

Abstract

This invention discloses an intelligent scheduling method and system for temperature-controlled paths in the cold chain distribution of poultry products, belonging to the field of cold chain logistics technology. By dividing the poultry product cold chain distribution network into several sub-paths and deploying temperature sensors, humidity sensors, and multispectral imaging units, a data acquisition time series is constructed to achieve multi-source monitoring of the environmental conditions in the distribution process. Based on image data, high-incidence temperature control failure areas are standardized and visual characteristics of quality deterioration are detected, enabling early identification of potential temperature control risks. Temperature control disturbance characteristic values ​​are calculated by combining temperature signals, humidity signals, and visual information, and the disturbance evolution amplitude and risk trend values ​​are calculated based on the time series to form a comprehensive temperature control characteristic value. The node temperature control correlation index is calculated and combined with thresholds for screening, enabling dynamic scheduling and early warning of abnormal temperature control paths. This improves temperature control accuracy and sensitivity, allows for rapid location of abnormal paths, and enhances the safety and management efficiency of the poultry product cold chain distribution.

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