4results about How to "Reduce overspray" patented technology

The utility model relates to technical field of liquid medicine spraying, concretely relates to a pepper planting liquid medicine spraying device, including drive assembly, drive assembly includes bottom plate, and the bottom plate lower surface fixedly connected with outer frame, and the outer frame is fixedly connected with motor in, and the motor output shaft fixedly connected with driving gear, and the driving gear is engaged with driven gear, and the driven gear is engaged with drive gear, and one end of drive gear is fixedly connected with connecting rod, and the wheel pivot is fixedly connected with support no.

The application relates to a four-stage steam compressor spray cooling system and relates to the technical field of steam compressors; the four-stage steam compressor spray cooling system comprises a mounting frame, the mounting frame is used for being arranged on an outlet pipeline of a four-stage steam compressor, a spraying mechanism is further arranged on the mounting frame, the spraying mechanism comprises an arc-shaped spraying pipe and a center spraying pipe, the arc-shaped spraying pipe is located outside an inner chamber of the outlet pipeline, one end of the arc-shaped spraying pipe extends upwards to the outside of the outlet pipeline, and the arc-shaped spraying pipe is used for being connected with a cooling liquid source, the center spraying pipe is located inside the inner chamber of the outlet pipeline, one end of the center spraying pipe is communicated with the top of the arc-shaped spraying pipe, and a plurality of nozzles are arranged on the arc-shaped spraying pipe and the center spraying pipe. The application has the effect of improving the cooling effect on high-temperature steam.

This invention provides a pesticide spraying flow control system based on multi-sensor information fusion, comprising a multi-sensor information acquisition unit, a central control unit, and an execution drive unit. The multi-sensor information acquisition unit is used to collect data in real time on the travel speed, terrain slope, pesticide viscosity, and pipeline flow rate during pesticide spraying operations. The central control unit is configured to: perform parallel advance prediction; generate feedforward control quantities based on the advance prediction results and a dynamic compensation model; the dynamic compensation model is configured to perform coupled compensation based on the terrain slope angle and its rate of change, and compensation based on the temperature-calibrated pesticide viscosity; adaptively tune control parameters online and generate feedback control quantities based on the deviation between the real-time pipeline flow rate and the target flow rate; and weightedly fuse the feedforward control quantities and feedback control quantities to generate a total control command. The execution drive unit is used to adjust the opening of the flow regulating valve according to the total control command to achieve closed-loop control of the spraying flow rate.

The application discloses a multi-agent coupling control-based multi-machine spraying uniformity improvement method, and aims at solving the problem that multi-machine uniformity control cannot be closed loop due to the fact that the online observability and verifiability of the spray deposition amount and the coverage rate in the operation process cannot be achieved. The application realizes the technical effects of the online observability and verifiability of the deposition and coverage, the multi-machine collaborative closed loop control of the physical conservation consistency, and the spraying uniformity and coverage rate improvement through the following steps: multi-source data acquisition and space-time alignment, cross-modal fusion to generate deposition observation and uncertainty, introduction of a physical constraint neural network with global mass conservation constraint and Lagrange duality and joint reconstruction with a graph neural network, short-time prediction of a wind field graph network and risk-sensitive distributed model predictive control, order-preserving calibration and closed loop updating.