6results about How to "Prevent overspray" patented technology

The invention discloses a steel structure painting device which comprises two conveying mechanisms arranged in parallel and a spraying mechanism erected over the two conveying mechanisms. The conveying mechanism comprises two slideways arranged in parallel, the top of each slideway is rotatably connected with a plurality of conveying rollers at equal intervals in the length direction of the slideway, two movable frames capable of reciprocating in the length direction of the beam frames are arranged between the upper ends and the lower ends of the two beam frames respectively, and each movable frame is fixedly provided with a spray gun set; the spray gun set is composed of a plurality of spray guns arranged side by side, spray heads of all the spray guns face the middle area of the top end between the two conveying mechanisms, a servo motor drives a transmission gear and a chain, synchronous reciprocating motion of the two movable frames is achieved, and the height of the U-shaped tray is adjusted in cooperation with an air cylinder. The spray gun group can move in a large range along the beam frame and dynamically adjust the spraying distance with the workpiece to cover the whole area of the surface of the steel structure, so that spraying leakage or excessive spraying is avoided, and the coating uniformity and the painting efficiency are remarkably improved.

The application discloses an intelligent imaging generation system and method, which realizes closed-loop control of spraying quality by real-time linkage adjustment of spraying mechanical arm and imaging equipment parameters through a dynamic parameter adjustment module, and combines a defect prediction and optimization decision module and a multi-modal process knowledge base. The system integrates a high-resolution visual sensor, a capacitive thickness detector and a temperature and humidity sensor, fuses multi-source data by using a Kalman filtering algorithm, and dynamically adjusts the speed of the mechanical arm, the nozzle pressure and the imaging gain coefficient. The defect prediction module simulates coating defect morphology based on a physically constrained generative adversarial network and generates a process optimization instruction set through reinforcement learning. The multi-modal process knowledge base stores an associated model of material characteristics, environmental data and defect patterns, supports incremental learning and historical data decay update. Through dynamic parameter collaborative optimization, defect prediction prepositioning and multi-modal data fusion, the spraying quality detection efficiency and coating consistency are improved, and the rework rate is reduced.

The invention belongs to the technical field of airplane coating repairing, and particularly relates to an airplane coating precision repairing method based on 3D visual data, which comprises the following steps: shooting a workpiece needing coating repairing to obtain an RGB image, and converting the RGB image into a point cloud picture; after the point cloud picture is processed, a 3D model of a workpiece needing coating repairing is obtained, spraying distance parameters are set, a robot track is generated, path simulation is conducted on the track, if simulation is free of interference, an online laser scanner is arranged to run according to the robot track, secondary detection and positioning are conducted on the surface of the workpiece needing coating repairing, and then the workpiece needing coating repairing is obtained. Acquiring spatial position data of a to-be-restored area; the industrial personal computer generates a robot path middle point according to the spatial position data of the area needing to be sprayed and associates the robot path middle point to an I / O control instruction of the robot; spraying parameters are input into the robot, after a robot motion program is generated, the complete robot track is simulated again, and if simulation is free of interference, the complete robot track is imported into a robot controller to execute spraying.

This invention discloses an adaptive control method and system for nebulized flow rate based on respiratory rate detection, relating to the field of medical device nebulization control technology. The method includes: acquiring and filtering upstream and downstream pressure sequences of the nebulization path; calculating a differential pressure short-circuit index and generating an event flag based on the degree of synchronization fluctuation and differential pressure amplitude of the two sequences; determining a respiratory rate estimation signal and calculating the respiratory rate based on the flag; generating a baseline nebulized flow rate based on the respiratory rate and correcting it with the differential pressure short-circuit index to obtain the target nebulized flow rate; and finally determining the nebulization execution amount. This invention enables adaptive and conservative adjustment of the nebulized flow rate, improving delivery stability.

The application discloses a kind of construction dust suppression device based on wind direction self-adaptive adjustment, belong to construction environmental protection equipment technical field.The device includes drive chassis, bearing plate, dust removal component and main control machine box, wherein main control machine box is equipped with intelligent control system, wind direction information is collected in real time by wind direction inductor, and by main control unit, it is cooperatively controlled to adjust direction motor, hydraulic cylinder and liquid pump, so that spraying direction and liquid injection volume can be automatically adjusted along with wind direction.The present application is provided with multistage spraying structure and adjustable dust removal component, realizes the accurate inhibition to construction dust, and improves the spraying efficiency and resource utilization rate by combining with intelligent control system, with the advantages of high degree of automation, strong adaptability, energy saving and environmental protection, suitable for various construction site dust control.

The invention relates to a barrel type foundation structure anticorrosive coating thickness control method and device considering a multi-factor coupling effect and a medium. The method comprises the steps that S1, a coating dry film thickness prediction model is constructed based on a simulation data set and a historical data set; s2, acquiring a real-time environment wind speed and a spraying distance, and querying based on a pre-configured response surface database to obtain a reference spraying pressure and a reference nozzle walking speed; s3, on the basis of the coating dry film thickness prediction model, a spraying pressure correction sequence and a nozzle walking speed correction sequence are obtained by minimizing film thickness control deviation and fluctuation targets of spraying pressure and nozzle walking speed in a period of time in the future; and S4, respectively superposing to the corresponding reference spraying pressure and the reference nozzle walking speed to obtain the target spraying pressure and the target nozzle walking speed. Compared with the prior art, the method has the advantages that the film thickness prediction precision under variable working conditions is improved, and accurate closed-loop control of the coating thickness is realized.