高精度降水粒子检测方法和系统

By using a high-precision precipitation particle detection system, three-dimensional reconstruction is performed using an orthogonal camera and a light source. Combined with gyroscope calibration, the light source threshold and environmental detection are dynamically adjusted, solving the problems of precipitation particle detection accuracy and field power supply in existing technologies, and realizing efficient and accurate precipitation particle parameter measurement.

CN122084469BActive Publication Date: 2026-07-17NANJING ZTWEATHER TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING ZTWEATHER TECH CO LTD
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing two-dimensional imaging raindrop spectrometers cannot accurately detect the horizontal velocity and orientation of precipitation particles. They suffer from issues such as non-horizontal installation and azimuth errors, inability to dynamically adjust thresholds, inability to detect the phase state of precipitation particles, and lack of efficient power supply and maintenance in the field.

Method used

A high-precision precipitation particle detection system is adopted, including an orthogonal high-speed line scan camera unit and a background light source. It combines a gyroscope and an electronic compass for real-time correction, uses multi-angle imaging for three-dimensional reconstruction, dynamically adjusts the light source threshold, installs a heating defrosting unit and environmental detection, and sets multiple working modes to optimize power consumption.

Benefits of technology

It achieves high-precision detection of precipitation particles, including accurate measurement of shape, size, flatness, orientation and type, improving the efficiency and lifespan of the equipment in the field and reducing power consumption.

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Abstract

本发明公开了高精度降水粒子检测方法和系统,本发明涉及光学和气象测量设备技术领域,解决了现有技术中降水粒子参数测量精度差和适应能力不足的问题,本发明通过水平速度和垂直速度矫正降水粒子切片轮廓由于这些运动产生的畸变,进而准确识别降水粒子下落过程中的形状、尺寸、扁平率、三维取向和类型,依据上下两组降水粒子轮廓变化的程度,估算降水粒子旋转速率,通过人工智能识别算法对降水粒子轮廓进行训练和分析,识别降水粒子类型,通过光电探测单元检测降水粒子对两种光源的散射强度信号差异,并依据阈值判定降水粒子的相态,提高了降水粒子类型的识别能力。
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