Building environment controller based on reinforcement learning and control method

Abstract

The invention relates to a building environment controller based on reinforcement learning and a control method. The building environment controller comprises a data acquisition module, a first communication module, a second communication module and a data processing module. The data acquisition module is connected with the first communication module, the first communication module is connected with the second communication module, the second communication module is connected with the data processing module, the data acquisition module is used for acquiring environmental data in a building, and the first communication module is used for transmitting the environmental data to the second communication module. The second communication module is used for transmitting the environment data to the data processing module, and the data processing module is used for establishing an environment model according to the environment data and obtaining an optimal strategy in combination with a Q-learning algorithm. According to the building environment controller, the data of the related equipment is collected, the environment model is established according to the data, then the optimal strategy is obtained through the Qlearning algorithm, and the equipment is controlled according to the optimal strategy, so that the balance of energy consumption and comfort is achieved.

Description

technical field [0001] The invention relates to the field of intelligent control, in particular to a building environment controller and a control method. Background technique [0002] With the development of economy, various equipments are applied in large buildings to meet people's needs. When these devices are applied, how to cooperate with each other to achieve the balance of energy consumption, comfort and other indicators has become a difficult problem. Contents of the invention [0003] Based on this, it is necessary to provide a building environment controller based on reinforcement learning for the problems in traditional buildings. The building environment controller is conducive to achieving the balance of energy consumption, comfort and other indicators. [0004] A reinforcement learning based controller for a built environment comprising: [0005] A data acquisition module, a first communication module, a second communication module and a data processing mo...

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Problems solved by technology

[0003] Based on this, it is necessary to provide a building environment controller based on reinforcement learning for the problems in traditional buildings.

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