Currently,grid based algorithms are commonly used for energy-saving control of large refrigeration equipment,which makes it difficult to completely eliminate the time delay in the energy-saving control process,resulting in a low energy-saving rate of the equipment.Therefore,an energy-saving control method for large refrigeration equipment based on IoT technology and variational mode decomposition is proposed.The operation and control parameters of devices are collected using IoT technology,and input into the device operation model under low load through edge processing and analysis.The energy dissipation mechanism of the equipment is analyzed based on its monitoring and protection mechanism,then parameters of the equipment's energy consumption characteristics are obtained.By combining the variational modal algorithm to decompose the actual output signal of the equipment,multiple frequency domain eigenvalues are obtained,and the critical value of load power and smooth fading coefficient are calculated to eliminate the influence of time delay,and then the energy-saving operating condition range of the equipment is set.Based on this,an energy-saving control model is established,achieving energy-saving control of the equipment by adjusting the attenuation modulation coefficient of the model.Taking a large refrigeration system as the experimental object,the proposed method is used for energy-saving control.The results show that the energy consumption of the equipment is significantly reduced and the energy-saving rate is high after applying the proposed method.
Internet of Things(IoT)variational mode decompositionrefrigeration equipmentenergy saving control