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Coupling optimization method of natural light vision and non-visual effects based on multi-objective optimization algorithm

A technology of multi-objective optimization and optimization method, which is applied in multi-objective optimization, design optimization/simulation, special data processing applications, etc., to achieve the effects of fast and convenient adjustment, strong operability, and simplified parameter setting

Active Publication Date: 2022-05-20
NANJING UNIV +1
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Problems solved by technology

At present, in the existing research, there are few optimization studies on the non-visual effects of lighting, and the existing research mainly focuses on the simulation research on the non-visual effects of lighting.

Method used

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  • Coupling optimization method of natural light vision and non-visual effects based on multi-objective optimization algorithm
  • Coupling optimization method of natural light vision and non-visual effects based on multi-objective optimization algorithm
  • Coupling optimization method of natural light vision and non-visual effects based on multi-objective optimization algorithm

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Embodiment Construction

[0028] The traditional natural lighting visual and non-visual effect optimization methods have the following disadvantages:

[0029] 1. It cannot be optimized for multiple lighting indicators at the same time

[0030] 2. It is impossible to optimize both visual and non-visual lighting at the same time

[0031] 3 Unable to perform parametric simulation

[0032] 4. It cannot be combined with CAAD software to optimize the non-visual effect of natural light.

[0033] 5. The optimization result is inaccurate, and quantifiable optimization results cannot be obtained

[0034] 6. Optimization takes a long time

[0035]The reasons for the above shortcomings are as follows:

[0036] 1. The traditional natural lighting non-visual effect optimization method can only target a single target index. When the number of optimization targets is greater than or equal to 2, it cannot take into account multiple optimization targets at the same time.

[0037] 2. The traditional natural lighting...

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Abstract

The invention proposes a multi-objective optimization algorithm coupling optimization method for natural light vision and non-visual effects. This method is based on the Rhino&Grasshopper parameterization platform, uses Radiance and Daysim as the daylighting calculation engine, integrates Honeybee and other performance simulation plug-ins and Python programming language, and combines the multi-objective optimization plug-in Octopus to realize the coupled optimization of visual and non-visual daylighting. Its essence is to consider the visual and non-visual evaluation indicators of lighting at the same time, and perform multiple iterative calculations through the optimization algorithm to obtain a better solution set range that satisfies both visual and non-visual optimization goals. Finally, the parametric model is applied, and the resulting data is visualized and fed back for designers to screen according to the specific visual and non-visual lighting requirements of the project, providing decision support for the creation of a healthy light environment.

Description

technical field [0001] The invention relates to a multi-objective optimization algorithm coupling optimization method for natural light vision and non-visual effects, and belongs to the technical field of building natural lighting performance simulation. Background technique [0002] Natural lighting not only affects the visual effect, but also affects the circadian rhythm and health of the human body through non-visual effects, including affecting hormone secretion, blood pressure, core body temperature changes and other physiological processes. These effects can cause sleep disorders in mild cases, and induce diseases such as seasonal affective disorder (SAD) and Alzheimer's disease in severe cases, and even interfere with DNA repair and induce cancer. Further research shows that compared with visual effects, non-visual effects are different in response mechanism, influencing factors, viewing direction, etc.; And non-visual effects are not the same. Therefore, to create ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/13G06F30/20G06F111/06
CPCG06F30/13G06F30/20G06F2111/06
Inventor 吴蔚陈启宁
Owner NANJING UNIV
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