Tianyi Sensor IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China

Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2026-01-28 11:06:42 source:Weather Station viewed:8 time
The Piezoelectric rain gauge sensor utilizes a PVDF piezoelectric film as the core rain-sensing component, combined with an embedded AI neural network algorithm to differentiate raindrop signals. This sensor is used for remotely measuring precipitation amount, precipitation intensity, and precipitation start and end times, achieving high-precision automated precipitation monitoring.
The Piezoelectric rain gauge sensor is an advanced sensing device for precipitation measurement based on the piezoelectric effect principle. It identifies precipitation events by detecting the weak electrical charge signals generated when raindrops strike the sensor surface, and further calculates relevant precipitation parameters. Compared to traditional mechanical tipping bucket rain gauges, this sensor has no moving parts, fundamentally avoiding problems such as mechanical wear, jamming, and the need for horizontal installation, significantly improving long-term operational reliability and data accuracy.
Its core technology lies in the combination of PVDF piezoelectric film material and intelligent signal processing algorithms. PVDF (polyvinylidene fluoride) is a high-molecular-weight polymer piezoelectric material with good flexibility and stable piezoelectric properties. When raindrops of different sizes and velocities strike the sensor's rain-sensing surface, they cause microscopic vibrations in the film, thereby generating microvolt-level electrical charge signals proportional to the impact energy. Raindrops of different diameters and terminal velocities produce different signal waveform characteristics. The sensor's built-in high-sensitivity charge amplification circuit captures and amplifies these raw signals.
The key breakthrough is the application of an embedded AI neural network algorithm. An artificial intelligence model trained on a large number of samples is integrated into the sensor's processing unit. This model can analyze the incoming charge signal waveforms in real time, intelligently differentiate between single raindrop signals and multiple overlapping raindrop signals, and effectively filter out non-precipitation interference signals such as wind noise, insect impacts, or mechanical vibrations. By identifying the "characteristic fingerprint" of raindrops, the algorithm can more accurately deduce precipitation intensity and accumulate the continuous sequence of charge signals to calculate the total precipitation amount, while precisely recording the start and end times of precipitation.
A complete piezoelectric rain gauge monitoring terminal typically consists of a sensor probe, a signal processing host, a power supply module, and a communication unit. The sensor probe usually uses a stainless steel casing, and the rain-sensing surface is treated with a special coating for hydrophobicity and corrosion resistance. The signal processing host contains the core algorithm and is responsible for data processing. The device can be powered by solar panels and batteries, and transmits precipitation data remotely to a monitoring center via methods such as 4G, LoRa, or RS485.
In practical applications, this sensor demonstrates wide applicability. In the field of smart hydrological monitoring, it is densely deployed within river basins, providing high spatio-temporal resolution precipitation data for flood forecasting and water resource management. In meteorological observation networks, it serves as a standard configuration for new automatic weather stations, improving the automation level of precipitation observation. In the transportation sector, it is particularly suitable for real-time rainfall monitoring and disaster warning along railway lines and highway slopes. In urban flood control, it is installed in low-lying areas or key nodes of drainage networks, providing real-time data for emergency dispatch. Furthermore, its high precision and maintenance-free characteristics are also highly valuable in agriculture, forestry, ecological research, and airport meteorological observation.
Overall, Piezoelectric rain gauge sensor represents an important direction in the development of precipitation measurement technology towards intelligence and high reliability. By integrating advanced sensing materials and artificial intelligence algorithms, it solves many of the pain points of traditional measurement methods, providing a more reliable data foundation for precise management and scientific decision-making in various water-related industries. With the continuous optimization of algorithmic models and the deep integration of Internet of Things technology, its application efficiency will be further expanded.
In the efforts to tackle air pollution, the precise identification of pollution sources is a core prerequisite for formulating effective response measures. Traditional manual analysis is time-consuming and susceptible to interference from various external factors, leading to deviations in pollution...
Portable Weather Station is an innovative type of equipment widely used in meteorological monitoring in recent years. Utilizing highly integrated sensors and intelligent technology, it condenses multiple observation functions of traditional weather stations into a lightweight, handheld or portable f...
The wireless transmission technology of Multiparameter Weather Sensors enables remote real-time transmission of meteorological data through communication methods such as LoRa, ZigBee, and GPRS. Traditional wired sensors suffer from cumbersome cabling, which limits installation locations. In contrast...
In terms of application value, the popularization of integrated dust monitoring sensors like the FT-WQX8 is transforming traditional environmental monitoring models. In the past, single-parameter monitoring devices required separate deployment and maintenance. Not only did this result in high initia...