Recent developments in sensor technology, especially when wireless technology is considered, have opened up new gates in terms of health monitoring and preemptive fault detection. To meet these new challenges, BeanAir, a leading German company in sensing technology, designs and manufactures smart, rugged and open-standard wireless IIOT sensors.

BeanAir Wireless IIOT sensors constitute an outstanding technology for various applications: Structural Health Monitoring, Test and Measurement, Land Surveying, Condition Monitoring, Environmental Monitoring.Furthermore, the high level of versatility, performance, and reliability of its wireless IIOT sensors, in addition to a worldwide presence thanks to effective system integrators partners, Beanair has acquired an international outreach and continues to maintain a strong reputation with major customers in numerous sectors.

Wifi Sensors for Internet of Things

Until now, Wifi technology was extremely energy greedy and unreliable. Users working on structural health monitoring, Test & Measurement and condition monitoring were more confident to deploy proprietary wireless sensor networks offering a better reliability and a low power operation.
Thanks to more than 11 years of experience in sensing technology, our research and development team worked intensively with our most initiated customers on WILOW® (for Wifi Low Power) technology, a new generation of WIFI sensors (vibration, inclination and shock) which is reliable, ultra-low power and open-standard.

Wireless IOT Sensors for Industrial Applications

The BeanDevice® 2.4GHz is a wireless sensor/DAQ providing a real-time wireless transmission and a high capacity data logging with low power operation.
The BeanDevice® 2.4GHz can be used for both dynamic and static measurement.

Wireless IOT sensors Supervision Software

he BeanScape® is a real time WSN supervision and control monitor. It allows the users to monitor and operate in real time BeanAir® WSN. The BeanScape® is also equipped with a smart expert system that allows users to interpret elements such as data acquisition or alarms related to the sensor network.