Natural Disaster Sensor Solution Kit- Lightning/Earthquake/Sandstorms/Wildfires Detection, Water Quality Monitoring, IoT, Machine Learning, LoRaWAN®

Introducing the Natural Disaster Sensor Solution Kit, a bundle kit designed to enhance your safety and awareness in the face of unpredictable events. This kit brings together five specialized sensors, each dedicated to detecting and alerting you to different types of natural disasters: lightning strikes, earthquakes, sandstorms, wildfires and help monitoring the water quality in the aftermath of a flood.

Description

This bundle empowers you to create your own monitoring, detecting, and alerting systems, utilizing cutting-edge technologies such as IoT, machine learning, and LoRaWAN®.

This bundle provides 7 options of XIAO microcontroller that can be employed as the host MCU, facilitating the connection between various sensors. Head to this page for a comprehensive introduction of Seeed Studio XIAO Series.

This kit brings together five specialized sensors, each dedicated to detecting and alerting you to different types of natural disasters: lightning strikes, earthquakes, sandstorms, wildfires and help monitoring the water quality in the aftermath of a flood.

Lightning Detection

Lightning poses a significant risk to nature, causing wildfires, tree damage, and disruptions to ecosystems. The Grove AS3935 Lightning sensor detects cloud-to-ground and intra-cloud lightning within a 30-40 km range. It's programmable by I2C or SPI communication, supports 3.3V and 5.0V power supply, evaluates electric fields, and sends data to the development board for creating lightning alert systems and meteorological stations. It enables the creation of lightning alert systems, storm warnings, and comprehensive meteorological stations for adverse conditions. (Go to product wiki)

Earthquake Detection

Earthquakes can cause significant harm to nature, including landslides, habitat destruction, and disruptions to ecosystems. Grove - D7S Vibration Sensor is a robust module equipped with a high-precision accelerometer and advanced algorithms. This sensor accurately detects and classifies different levels of vibrations, delivering essential data for earthquake monitoring and safety purposes. (Go to product wiki)

Sandstorms Detection

Sandstorms can cause severe ecological damage, including soil erosion, destruction of vegetation, and disruption of fragile desert ecosystems. Grove - Laser PM2.5 Dust Sensor can provide real-time measurements of the concentration of PM2.5 particles, including those present during sandstorms. This data can be used to assess air quality, track pollution levels, and provide early warnings or alerts about sandstorms or other environmental conditions. (Go to product wiki)

#ProjectSpotlight: The air pollution problem attracts more and more attention. In this tutorial, you can learn how to monitor PM2.5 with the Grove-Laser PM2.5 Sensor, and further forecast the coming of sandstorms.

Wildfires Detection

Wildfires can cause substantial environmental consequences such as vegetation destruction, wildlife habitat loss, soil erosion, and air pollution. To detect fire sources or other light sources within the wavelength range of 760nm - 1100nm, the Grove-Flame Sensor, utilizing the YG1006 sensor, a high-speed and high-sensitive NPN silicon phototransistor, is employed. This sensor is particularly responsive to infrared radiation due to its black epoxy construction, and by incorporating an additional buzzer and LED, a fire alarm system can be conveniently constructed. (Go to product wiki)

#ProjectSpotlight: Fight Fire is a wildfire prediction device that will help the firefighting authority to respond quickly to the wildfire. You can integrate an additional Grove - Vision AI Module, a Grove - Air Quality Sensor(BME688) and a Grove - Temperature & Humidity Sensor(SHT40) to create a machine learning based wildfire detection and early warning system.

Water Quality Monitoring

In the aftermath of a flood, Grove - ORP Sensor Kit can be employed to measure the cleanliness of the water and its ability to break down contaminants. ORP measurements can provide an indication of the presence of oxidizing agents or potentially harmful substances in the water, which could be important for assessing the safety of the affected area. (Go to product wiki)

#ProjectSpotlight: Explore this monitoring system by Justin Lutz that ultilized Seeed Studio XIAO RP2040, Grove-ORP Sensor kit, Grove-TDS Sensor and Grove - Temperature & Humidity Sensor (DHT11) to track any fluctuations in variables that could indicate an increased risk of algal blooms, further prevent the toxic algal blooms.

One More Thing

With the SenseCAP S2110 Sensor Builder and SenseCAP S2100 - LoRaWAN® Data Logger/DTU, you can easily turn the Grove into a LoRaWAN® sensor. Seeed not only helps you with prototyping but also offers you the possibility to expand your project with the SenseCAP series of robust industrial sensors.

The IP66 housing, Bluetooth configuration, compatibility with the global LoRaWAN® network, built-in 19 Ah battery, and powerful support from APP make the SenseCAP S210x the best choice for industrial applications. The series includes sensors for soil moisture, air temperature and humidity, light intensity, CO2, EC, and an 8-in-1 weather station. Try the latest SenseCAP S210x for your next successful industrial project.