6 results about "Barometer" patented technology

The utility model discloses a kind of ring main unit, it is related to ring main unit technical field, including cabinet, first fixed block is fixedly installed in cabinet two sides, spring is fixedly connected between pressing plate and the gas storage box, spring is located the outside of movable rod, the outside of first fixed block is equipped with multiple second heat dissipation holes, the outside of gas guide pipe is fixedly connected with protective frame, the bottom of gas storage box is fixedly connected with air inlet pipe.The utility model gas storage box, barometer and unique structure design can accurately judge the saturation state of drying agent, replace drying agent in time, according to replacement time, absorption water vapor weight etc. Data, accurately analyze environmental humidity, and then accurately adjust drying agent filling amount, avoid waste and drying deficiency, greatly improve drying efficiency, maintain the stable drying environment inside cabinet, in addition, fan auxiliary acceleration air flow, further reduce the water vapor content inside cabinet, synergistic drying agent improves overall drying effect.

This invention discloses a barometer error calibration method based on a pressure field, comprising the following steps: S1, performing drift suppression and cross-consistency calibration on the original height observation data of the tag barometer and anchor barometer to obtain the cross-calibration height of each anchor barometer; S2, constructing a time-varying pressure field model for each anchor barometer to solve for the pressure plane value at the horizontal position of the tag barometer, thereby obtaining the residual between the drift compensation height of the tag barometer and the pressure plane; S3, estimating and updating the height offset of the tag barometer online based on the time-varying pressure field model to obtain the tag barometer pressure height correction amount; S4, using the tag barometer pressure height correction amount to correct and update the drift-suppressed tag barometer pressure height, and outputting the elevation result. This method can effectively suppress errors caused by barometer drift and changes in ambient pressure, improve the stability and accuracy of elevation estimation, and has good robustness and adaptability.

This invention provides a barometer-assisted GNSS / INS positioning quality control method and system for urban environments. By constructing a joint altitude reference benchmark for INS and barometers, the strong coupling dependency between GNSS and INS is broken. A multi-level closed-loop quality control mechanism is used to identify and suppress anomalies in raw GNSS observations, ambiguity resolution, and the final positioning results. Sensor error correction maintains the long-term stability of the auxiliary source. Precisely embedding barometer vertical constraints within a loosely coupled framework significantly enhances the observability of the altitude direction. Even in scenarios with severely degraded GNSS signals, such as urban canyons, under overpasses, and tunnel entrances / exits, this invention can still provide continuous and robust lane-level navigation results, meeting the stringent application requirements for high-reliability and high-precision positioning in autonomous vehicles, intelligent connected terminals, and UAV inspection platforms.

This invention discloses a control method for safe landing of a UAV in abnormal barometer data states. It is based on a dual-loop cascade PID control algorithm for UAV barometer altitude hold-up, with an outer loop of altitude and an inner loop of velocity. The altitude measurement value of the altitude loop and the velocity measurement value of the velocity loop are respectively obtained by fusing the relative altitude H of the UAV measured by the barometer as the observation value and fusing the UAV IMU data using a Kalman filter algorithm. 融合 and fusion speed V 融合 The control method of this invention is not easily affected by barometer fluctuations, and can control the drone throttle more stably and linearly, reducing the possibility of full-amplitude throttle fluctuations, thereby improving the stability and robustness of drone landing, avoiding problems such as large-scale drone ascent and descent, and the drone's payload becoming lighter, resulting in the inability to reach the target speed. The control method of this invention can be unified into the automatic landing mode to simplify the control logic and improve the robustness of control.

This invention discloses a machine learning-based method and system for evaluating the wind resistance performance of small and medium-sized unmanned aerial vehicles (UAVs), relating to the field of UAV flight control technology. The method includes: acquiring raw sensor data using a nine-axis inertial measurement unit (IMU), a global positioning module (GPS), and a differential barometer; performing sliding window framing processing on the raw sensor data; eliminating impulse noise in angular velocity and linear acceleration using median filtering; smoothing the barometric pressure data using Kalman filtering; fitting the GPS trajectory using the least squares method and extracting time-domain and frequency-domain features to generate a time-series feature matrix; and converting the Euler angle features in the time-series feature matrix into a Lie group space. This invention effectively solves the kinematic error problem of traditional methods under large-angle maneuvers by using feature representations constrained by rigid body kinematics and a physics-guided machine learning framework, significantly improving the evaluation accuracy and control reliability under complex wind field conditions.