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Lighting system design method and system based on deep learning

A lighting system and deep learning technology, applied in the field of lighting system design, can solve the problems of reducing the uncertainty of manual design, excessive calculation, and difficult design

Pending Publication Date: 2020-10-23
臻准生物工程山西有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In the above-mentioned technical solution, first of all, it is necessary to clarify the customer's needs, and to know what kind of lighting equipment the customer wants, and then import the design parameters obtained from the user into the pre-trained deep learning network model, and the deep learning The network model outputs the corresponding surface point set. The surface point set describes the shape of the lens to be processed, and then fits the surface point set that cannot be recognized by the processing equipment into the data structure of the surface equation that the processing equipment can recognize, and then uses The surface equation is used to process the lens, thus completing the entire automated process from lens design to processing, reducing the uncertainty of manual design, and further improving the lower limit of the design level, increasing the accuracy of customer expectations, It overcomes the technical problems of too many uncontrollable factors involving people, too much design difficulty and too much calculation in the traditional field of lens design

Method used

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  • Lighting system design method and system based on deep learning
  • Lighting system design method and system based on deep learning
  • Lighting system design method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Such as figure 1 A schematic flow chart of Embodiment 1 of a lighting system design method based on deep learning; specifically including:

[0060] S1: Obtain the design parameters of the lighting system;

[0061] S2: Import the design parameters into the deep learning network model for training and obtain the surface point set of the lighting system;

[0062] S3: Fitting the surface point set to obtain a two-dimensional surface curve, and rotating the two-dimensional surface curve into a curved surface;

[0063] S4: Fitting the curved surface to obtain a surface equation of the lighting system.

[0064] The process of specifying design requirements is generally realized through the human-computer interaction interface. On the human-computer interaction interface, the corresponding interface is displayed. The user fills in the design parameters under the guidance of the human-computer interaction interface, and submits the relevant parameters after clicking Confirm. ...

Embodiment 2

[0067] This example includes:

[0068] S1: Obtain the design parameters of the lighting system;

[0069] S2-1: Initialize the deep learning network model; the deep learning network model includes a first neural network;

[0070] S2-2: Train the deep learning network model, input the emission angle set of the simulated light into the first neural network, and the first neural network outputs a height set; the highly concentrated elements are the simulated light the height of the exit point on the curved surface of the lighting system;

[0071] S2-3: Calculate the two-dimensional surface curve intersection set according to the height set;

[0072] S2-4: Determine the target loss function of the deep learning network model;

[0073] S2-5: Calculate a loss value according to the target loss function, and judge whether the loss value is smaller than a predetermined threshold; if so, end the training; otherwise, adjust the structural parameters of the deep learning network model ...

Embodiment 3

[0080] This example includes:

[0081] S1: Obtain the design parameters of the lighting system;

[0082] S2-1: Initialize the deep learning network model; the deep learning network model includes a first neural network;

[0083] S2-2: Train the deep learning network model, input the emission angle set of the simulated light into the first neural network, and the first neural network outputs a height set; the highly concentrated elements are the simulated light the height of the exit point on the curved surface of the lighting system;

[0084] S2-3: Calculate the two-dimensional surface curve intersection set according to the height set;

[0085] S2-4-1: Calculate the normal angle set according to the two-dimensional surface curve intersection point set; the normal angle set in the normal angle set and the emission angle corresponding to the emission angle set satisfy Snell's law ;

[0086] S2-4-2: Calculate and obtain an optical path imaging point set according to the norm...

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Abstract

The invention discloses a lighting system design method based on deep learning. The lighting system design method comprises the steps of: acquiring the design parameters of a lighting system; importing the design parameters into a deep learning network model for training and obtaining a curved surface point set of the lighting system; fitting the curved surface point set to obtain a two-dimensional surface type curve, and rotating the two-dimensional surface type curve into a curved surface; and fitting the curved surface to obtain a surface equation of the lighting system. According to the method of the invention, the automatic operation process of an optical lens for illumination from parameters to design is realized; the uncertainty of manual design is reduced; the design difficulty ofthe optical lens for illumination is reduced; and the lower limit of the design level of the optical lens for illumination is improved; and in addition, system errors caused by human factors are reduced, and the accuracy expected by customers is improved.

Description

technical field [0001] The present invention relates to the field of lighting system design, in particular to a lighting system design method based on deep learning. Background technique [0002] Lighting system design is an important branch of optical design, which can solve various needs in life and industry through lighting design. The existing lighting optical system is mainly completed with the assistance of lighting design software such as LightTools. In LightTools and other lighting design software, through system construction and evaluation function writing, a lighting system close to the initial requirements is finally optimized. However, this design method is limited by the selection of the initial structure. If the initial structure is selected reasonably, the design difficulty will be greatly reduced and the optimization time will be reduced. Otherwise, the difficulty of optimization and design will be increased. At the same time, the design of the optical syste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/08G06N3/045
Inventor 李睿文李春阳殷敏郭枫
Owner 臻准生物工程山西有限公司
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