With the development of cold chain Internet of Things technology

real-time temperature monitoring and data sharing have become important means of improving the efficiency of chilled meat supply chain management. In this paper

a time-temperature coordination optimization strategy based on cold chain Internet of Things is proposed to enhance the operational efficiency of the chilled meat supply chain. First

based on predictive microbiology and system reliability theory

the effects of time and temperature on the quality of chilled meat were analyzed

and a quality change model was constructed. Next

through experimental analysis

an energy consumption model for the cold fresh meat supply chain was developed

and the preservation costs of each stage were quantified. It was found that there is an optimal freshness level in the chilled meat supply chain that maximizes supply chain benefits. Further analysis revealed that when the freshness level at a stage deviates from this optimal level

the supply chain benefits can still be maximized by adjusting the time and temperature in subsequent stages. Finally

the chilled chicken supply chain was used as a case study to explore the time-temperature coordination optimization strategy based on cold chain Internet of Things

providing a reference for improving the management efficiency of chilled meat supply chains.