10 results about "Gas mask" patented technology

1. Name of the designed product: Anti-poison mask (full mask 4). 2. Use of the designed product: For wearing filter air on face. 3. Design points of the designed product: In shape. 4. Picture or photo that best shows the design points: Perspective view 1.

1. Name of the product in this design: Filter Cartridge (Green Cool L8203). 2. Purpose of this design: For use as a respiratory protection device on gas masks and protective face shields. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: Double-canister gas mask (Green Cool L820). 2. Purpose of this design: For use in gas masks. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to a forest fire shelter of closed-circuit oxygen breathing type, and relates to a forest fire shelter. The utility model discloses a kind of forest fire shelter, to solve the problem that existing fire shelter cannot block outside flue gas and smoke dust from entering its inside when ground is uneven. The utility model is simple to operate, when using in the case of uneven ground, avoid firemen inhale high-temperature and harmful flue gas and smoke dust, provide protection for the life safety of firemen: when in critical fire environment, firemen deploy fire shelter, lie into cover with head towards storage pouch in prone position, then take out closed-circuit breathing unit in storage pouch. Gas mask is worn on face, the size of gas supply is adjusted in real time by rotating valve on gas supply tank, exhaled gas enters carbon dioxide adsorption tank through exhalation valve, adsorbent in its interior absorbs carbon dioxide, and remaining exhaled gas continues to participate in respiratory cycle. The utility model belongs to the technical field of forest fire fighting.

1. Name of the product in this design: Gas Half-face Mask. 2. Purpose of this design: For facial protection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention belongs to the technical field of infrared binocular vision gas depth estimation methods, and particularly relates to an infrared binocular vision gas depth estimation method using bisection optimization. The method involves calibrating two infrared cameras to obtain the intrinsic parameter matrices of the left and right infrared cameras and the extrinsic parameter matrix of the right camera relative to the left camera, providing a parameter basis for gas depth calculation. A gas segmentation model is constructed and trained by inputting images synchronously acquired by the left and right infrared cameras into the trained gas segmentation model, and inferring the gas masks for the left and right views. A mapping relationship between the images from the left and right infrared cameras is established based on the homography matrix. Combined with the gas masks, a bisection-optimized depth search algorithm is used to calculate the true depth of the gas from the left infrared camera.

This application provides an AI-based intelligent wearable status monitoring method and system for protective equipment, relating to the field of data processing technology. The method includes: monitoring and acquiring a set of workshop environmental parameter sequences within a preset time range in a chemical production workshop; acquiring mask attribute information of a gas mask worn by a user to be monitored; collecting a sequence of user facial images to obtain a mask-face pressure distribution sequence of the gas mask; performing mask-face fit analysis on the user based on the user facial image sequence and the mask-face pressure distribution sequence, and outputting the mask-face fit degree; predicting the mask failure risk of the gas mask based on the set of workshop environmental parameter sequences, mask attribute information, and mask-face fit degree, and outputting the mask failure probability, thereby assessing and issuing early warnings regarding the protective risks to the user. This solves the technical problem of insufficient accuracy and reliability in gas mask wearing status monitoring in existing technologies.