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An Adaptive Control Method of Indoor Air Based on Approximate Model Programming

A technology of self-adaptive control and approximate model, applied in the direction of self-adaptive control, general control system, control/regulation system, etc., can solve problems such as lack of intelligence, and achieve the effect of improving efficiency

Active Publication Date: 2019-11-08
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, equipment such as air conditioners and air purifiers require manual control and adjustment, and do not have intelligence

Method used

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  • An Adaptive Control Method of Indoor Air Based on Approximate Model Programming
  • An Adaptive Control Method of Indoor Air Based on Approximate Model Programming
  • An Adaptive Control Method of Indoor Air Based on Approximate Model Programming

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the examples, but not as a limitation of the present invention.

[0037] An adaptive indoor air control method based on approximate model programming involved in this embodiment is applied to such as figure 1 In the indoor air adaptive adjustment system shown, the main modules in the system are: 1. Air purifier 2, air conditioner 3, window control device 4, purifier control device 5, air conditioner control device 6, display and management device 7, Server and 8 mobile phone APP. Each module can be connected by wireless network. The organization of the wireless network adopts WI-FI network, but GPRS, 3G, 4G and Zigbee can also be selected as the wireless communication network. Please combine figure 2As shown, the main components of the server include a central controller 8a, a storage unit 8b, and a sensor unit 8c, which include a temperature sensor, a humidity sensor, a formaldehyde sensor, a ...

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PUM

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Abstract

The invention discloses an indoor air adaptive control method based on approximate model planning. The method comprises steps of initializing current states, models, hyper-parameters, environments andexploration strategies; according to the exploration strategies, selecting actions to be executed, thereby acquiring rewards and next state; allowing the current state, the actions, the rewards and the next state to form the current sample so as to update the model, the value function and the strategy; after each ploy is finished, adding the current sampling track and the reconstructed sampling track into a track pool; using all tracks in the track pool to update the model; using the updated model to generate simulation samples so as to carry out planning; and when the algorithm reaches the biggest plot number and is converged, obtaining the optimal strategy for achieving indoor air adaptive control. According to the invention, by learning the approximate environment model, and by using the learned environment model, planning is performed, so learning efficiency is improved.

Description

technical field [0001] The invention relates to an indoor air adaptive control method, in particular to an indoor air adaptive control method based on approximate model programming. Background technique [0002] With the development of the economy and the improvement of people's living standards, people pay more and more attention to the environment. As a place for people's main activities, the indoor environment is more closely related to people's health. Therefore, how to effectively realize the safety, freshness and comfort of indoor air is a key issue to improve human self-experience. [0003] At present, in most indoor environments, only equipment such as air conditioners and air purifiers are installed, and they exist in isolation. The equipment needs to be activated separately to adjust the air temperature and purify the air. For some dangerous gases, such as formaldehyde and sulfur dioxide in confined spaces, air purifiers alone cannot achieve rapid adjustment to qu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 钟珊龚声蓉伏玉琛王朝晖董瑞志姚宇峰
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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