Air conditioner air volume control method and device based on deep reinforcement learning and medium

Abstract

The invention provides an air conditioner air volume control method and device based on deep reinforcement learning and a storage medium, and the method comprises the steps: building a state prediction model, and obtaining an external prediction state through the state prediction model; generating a training sample according to the external prediction state, training a long-term return value prediction network model based on the training sample, and adjusting a parameter theta of the long-term return value prediction network model; predicting a network model through the long-term return valueand predicting an air conditioner execution action at the next moment based on the current state so as to control the air volume of the air conditioner. According to the method and device and the storage medium, the air conditioner of the cigarette enterprise can be automatically controlled, loss minimization is achieved, the accuracy of air conditioner temperature and humidity prediction and thestability of air conditioner switching can be improved, energy conservation and consumption reduction can be achieved, the cost of the enterprise can be reduced, and the product quality can be improved.

Description

Technical field [0001] The invention relates to the technical field of tobacco automatic control, and in particular to an air conditioning air volume control method, device and storage medium based on deep reinforcement learning. Background technique [0002] Most of the air conditioners used by cigarette companies are variable air volume air conditioners. The principle is to fix the air supply temperature and change the air volume to meet the indoor temperature and humidity requirements. The rolling and packing workshop of cigarette enterprises needs a constant temperature and humidity environment, with a temperature requirement of 20±2°C and a humidity of 60±5%RH. In order to meet the environmental process requirements of the seaming and packaging workshop in the power workshop, the operating staff will turn on the air conditioner according to the data collected by the temperature and humidity. This will easily cause the process environment of the seaming and packaging wor...

AI Technical Summary

Problems solved by technology

In order to meet the environmental process requirements of the coiling and packaging workshop in the power workshop, the operating staff will open the air conditioner according to the data collected by the temperature and humidity, which will easily cause large fluctuations in the process environment of the coiling and packaging workshop, and the excessive number of air conditioners will also cause energy waste.

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