A neural network-based intelligent control method for light environment

Abstract

A neural network-based intelligent control method for light environment, comprising the following steps: Step 1: collection of original sample data; step 2: sample preprocessing, the process is as follows: 2.1 data transformation; 2.2 data cleaning; step 3: BP neural network Design: design the preliminary structure model of BP neural network, use the sample data obtained in step 2 to train and test and adjust the neural network model; step 4: light environment optimization: after obtaining the evaluation function according to the neural network model, establish an optimization model to find out the current In the environment, in order to achieve the best light environment, each index should reach the value, and the objective function of the optimization model is established as follows: max F = α 1 P 1 +α 2 P 2 +...+α n P n Then, according to the requirements of different environments for each index, the corresponding constraint conditions are established, so as to obtain the optimal solution, and the data of each index under the obtained optimal value are brought into the system to realize adaptive regulation and optimization of the light environment. The invention effectively avoids the influence of subjective factors and self-adapts adjustment.

Description

technical field [0001] The invention relates to the field of intelligent control of light environment, and is a light environment measurement and control method based on a deep learning neural network. Background technique [0002] The light environment refers to the physiological and psychological environment related to the shape of the room established indoors by light and color. It includes and is not limited to illuminance, color temperature, and lighting form. People know the world through hearing, sight, smell, taste and touch, and 80% of the information they get comes from vision caused by light. Therefore, creating a comfortable light environment and improving visual performance has great research value. [0003] Various indicators of the light environment, such as illuminance, color temperature, stroboscopic and glare index, etc., can be directly or indirectly measured by sensors. In different places and in different light environments, these index data are diffe...

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Problems solved by technology

[0006] In order to overcome the shortcomings of the existing light environment optimization methods that cannot adaptively adjust the indoor light environment, and the current light environment regulation is mainly affected by subjective factors, in order to solve this problem, the present invention proposes a method that effectively avoids subjective factors Neural network-based intelligent control method for light environment

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