Water chilling unit load prediction control method and system based on side cloud collaborative framework

Abstract

The invention discloses a water chilling unit load prediction control method and system based on a side cloud collaborative framework, and belongs to the field of optimal control. The invention provides layered optimization control of a water chilling unit by utilizing edge computing and cloud computing fusion. Load real-time prediction and division and data preprocessing are performed at an edge end; a parameter matrix is controlled under different load rates; a load prediction model and an energy consumption fitting model are trained and updated at a cloud end; optimization is performed on control parameters of the water chilling unit; and input of a minimum value under a self-adaptive function is sought through an intelligent optimization algorithm by utilizing a corresponding model, so that an optimal control parameter combination is obtained. Edge end resources are fully utilized to perform data preprocessing, control parameter matrix storage and control parameter transmission, so that the cloud computing pressure is reduced, the influences caused by data transmission delay are reduced, accordingly, the effect of rapid real-time updating and optimization control is achieved, and actual operation data can be well fitted; and under the condition that basic loads are met, the energy consumption of the whole system is obviously reduced.

Description

technical field [0001] The invention belongs to the field of optimal control of building air-conditioning systems, and more specifically relates to a chiller load forecasting control method and system based on an edge-cloud collaborative framework. Background technique [0002] The construction industry plays an important role in energy conservation and climate change mitigation in China. According to data from the Building Energy Research Center (BERC) of Tsinghua University, the primary energy consumption of the construction industry in 2018 was 1,123 million tons of coal equivalent (Mtce), and the total carbon emissions related to building energy consumption were about 2.2 billion tons of carbon dioxide, and China's construction industry energy consumption will continue to grow in the next few years. The ongoing energy consumption of heating, ventilation, and air conditioning (HVAC) systems accounts for a significant portion of the cumulative end use of building energy c...

AI Technical Summary

Problems solved by technology

However, this method has the following defects or deficiencies: the overall optimization logic of the control model chiller is complex, the optimization calculation is cumbersome, and it is not convenient to expand the optimization strategy

However, this method has the following defects: the multiple control system is too complex, which increases the calculation burden of the equipment, increases the pressure on the equipment, and cannot meet the real-time requirements of the system

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