Sand table manufacturing method based on machine learning

A machine learning and sand table technology, applied in machine learning, instruments, teaching models, etc., can solve the problems of lack of display, long sand table production cycle, and inability to adjust the authenticity in real time, and achieve the effect of fast and efficient production process.

Active Publication Date: 2019-07-09
深圳市问库信息技术有限公司
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Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a sand table production method based on machine lear...

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  • Sand table manufacturing method based on machine learning
  • Sand table manufacturing method based on machine learning
  • Sand table manufacturing method based on machine learning

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Embodiment Construction

[0049] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0050] A specific embodiment of the present invention discloses a method for making a sand table based on machine learning. Such as figure 1 shown, including the following steps:

[0051] Step S1, constructing a laser holographic projection prediction model and a topographic information prediction model, and performing training;

[0052] Step S2, using the trained model to adjust the projection parameters and terrain information of the laser holographic projector in real time;

[0053] Step S3, the laser holographic projector performs sand table projection imaging according to the above proje...

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Abstract

The invention relates to a sand table manufacturing method based on machine learning, and belongs to the technical field of sand table manufacturing. The problems that a sand table is long in manufacturing cycle, authenticity is lacked during displaying and an adjustment cannot be made in real time in the prior art are solved. The method includes the following steps of establishing a laser holographic projection prediction model and a geomorphic information prediction model to be trained, adjusting projection parameters and geomorphic information of a laser holographic projector in real time through the trained models, conducting sand table projection imaging through the laser holographic projector according to the projection parameter value, and conducting sand table geomorphic manufacturing through a mechanical arm according to the geomorphic information. The sand table manufacturing process is rapid and efficient, the geomorphic state can be truly displayed and simulated through laser holographic projection, the terrain is rapidly piled and adjusted through the mechanical arm, the optimal projection parameters and geomorphic information can be obtained in real time through the models trained through machine learning, the projection state and geomorphology are automatically corrected and adjusted in real time, and the manufactured sand table reaches the optimal projection size and effect.

Description

technical field [0001] The invention relates to the technical field of sand table making, in particular to a method for making a sand table based on machine learning. Background technique [0002] Military sand tables generally contain two main parts: one is the bottom tray, and the other is the imitation of mountains and rivers. There are currently two main materials for the production of mountains, rivers and rivers, one is plastic imitations and the other is sand. [0003] Sand tables mainly made of plastic imitations need to be specially customized. First, draw 3D drawings of the real landforms, then 3D print or inject the shapes of the drawings to make the imitations, and then place these imitations on the On a tray, for displaying landscapes to others. On the one hand, this kind of sand table has a long preparation period, and the preparation of the landform needs to be prepared by 3D printing or injection molding, and the scene needs to be prepared; in an emergency ...

Claims

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Application Information

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IPC IPC(8): G09B25/06G06N20/00
CPCG09B25/06
Inventor 崔龙竹刘毅席华崔龙泉
Owner 深圳市问库信息技术有限公司
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