As a core equipment for environmental monitoring, industrial ventilation, and meteorological research, wind speed transmitters work based on physical effects such as heat transfer, ultrasonic propagation, or mechanical rotation. Through precise sensor design and signal processing technology, they convert the kinetic energy of air flow into quantifiable electrical signals.This article analyzes its core working mechanism from three dimensions: technical principles, signal conversion, and typical applications.

　　1、 Thermal principle: linear correlation between temperature change and wind speed

The core of a thermal wind speed transmitter is a hot wire sensor. The sensor is equipped with platinum wire and other heating elements. When air flows through, it takes away heat, causing the temperature of the element to decrease and the resistance value to decrease accordingly. The higher the wind speed, the faster the heat dissipation rate, and the greater the amplitude of resistance change. The signal processing flow includes: resistance change → voltage signal amplification → linearization circuit conversion → outputting 4-20mA current or 0-10V voltage standard signal. This technology has a short response time and is suitable for scenarios such as meteorological stations and laboratories that require rapid response.

　　2、 Ultrasonic principle: breakthrough of time difference method and Doppler effect

Ultrasonic wind speed transmitter utilizes the superposition effect of sound wave propagation speed and airflow direction. When the direction of ultrasonic propagation is consistent with the wind direction, the speed increases; The speed slows down during backpropagation. By measuring the time difference between forward and backward flow, the wind speed can be calculated.

　　3、 Mechanical principle: combination of rotating components and fluid mechanics

Mechanical wind speed transmitters reflect wind speed through the rotation speed of the wind cup or rotor. The airflow drives the rotation of three cup or propeller sensors, and the speed is proportional to the wind speed.

　　4、 Signal Processing and Output: Conversion from Physical Quantities to Standard Signals

Regardless of the principle used, this product requires a signal conditioning circuit to convert physical quantities into electrical signals. The typical process includes: amplifying the original sensor signal → filtering to remove noise → A/D conversion → microcontroller processing (such as zero calibration, temperature compensation) → outputting standard signals.

From the microscopic temperature changes of thermal sensors, to the macroscopic time difference measurement of ultrasonic technology, and to the fluid dynamics applications of mechanical structures, the product achieves precise quantification of wind speed through multiple technical paths. Its development not only reflects the progress of sensor technology, but also promotes the intelligent upgrading of fields such as meteorological forecasting, industrial safety, and environmental governance.