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Night vision training situational sand table and control method thereof

A sand table and scene technology, applied in educational appliances, instruments, teaching models, etc., can solve the problem of not yet retrieved night vision scene sand table and training methods, and achieve the effect of improving night vision flight ability

Active Publication Date: 2018-03-02
FOURTH MILITARY MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, no night vision scene sand table and training method that meet the above requirements have been retrieved

Method used

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  • Night vision training situational sand table and control method thereof

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Embodiment Construction

[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0037] Such as figure 1 As shown, the night vision training scenario sand table is divided into five areas: urban part, suburban part, river part, mountain part and desert part. The miniature entities set in the night vision training scene sand table include mountains, green plants, line towers, high-voltage lines, rivers, embankments (dams), roads, buildings (buildings and bungalows), airports, chimneys, bridges, cars and lights (different The lights of different colors can simulate indoor and outdoor lighting, roof lights or other indicator lights, roof lights are aviation obstruction lights), etc.

[0038]The proportion of the town part is 1:500, including buildings 1, roads, lights, high-voltage lines, line towers 2, etc. The building is made of cement, the lighting is made of LED, and the high-voltage lines and towers are made of iron w...

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PUM

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Abstract

The invention provides a night vision training situational sand table and a control method thereof. The situational sand table has the design content including town, river, mountain, suburb and desertparts. The town part includes buildings, high-voltage lines, line towers, roads, a variety of artificial light sources, and other common man-made scenes. The river part includes lakes, rivers and other common natural water scenes. The mountain part includes mountains, bridges, highways, cars on mountain roads, multi-contrast green vegetation under low-light conditions, high-voltage lines, line towers and other common man-made and natural scenes. The suburb part includes bungalows, high-voltage lines, line towers, chimneys, airports, control towers, trees and other common man-made and naturalscenes. The desert part includes sand dunes and other common natural scenes. The situational sandbox can be used in night vision training to help the flight crew become familiar with the characteristics of common topographic and geomorphic conditions during naked sight flying and flight using a low-light-level night vision device and to ensure the flight safety.

Description

technical field [0001] The invention relates to a scene sand table for night vision ground simulation training, in particular to a scene sand table for training and a night vision training method for simulating the reflection and refractive index characteristics of man-made and natural scenery in a low-light night sky environment. Background technique [0002] Humans have relatively ideal photopic vision (normally up to 1.0 or higher), while scotopic vision is relatively weak. In the aviation field, it shows extremely poor night flight operation ability. Since the 1970s, low-light night vision devices previously used for ground operations have been widely used in the aviation field. However, from the perspective of visual physiology, on the one hand, naked vision observation in a low-light environment has great limitations in itself, and will produce visual illusions; on the other hand, due to the limitations of the night vision device itself (color, contrast, resolution, r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B25/00G09B25/04
CPCG09B25/00G09B25/04
Inventor 曹瑞丹张萌张作明陈涛杨国庆
Owner FOURTH MILITARY MEDICAL UNIVERSITY
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