Advantech WISE-4220 and WISE-4470 series of wireless Ethernet sensor nodes

Wednesday, 01 August, 2018 | Supplied by: Advantech Australia Pty Ltd

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The Advantech WISE-4220 and WISE-4470 series of wireless Ethernet sensor nodes are based on microelectromechanical systems (MEMS) and microcontroller (MCU) technology with built-in encryption provided by STMicroelectronics (ST).

The WISE-4220 is equipped with ST’s temperature and humidity sensor (HTS221) with Wi-Fi technology to control end devices and enable cloud connectivity. Its most significant feature is its support for MQTT, RESTful and other IoT communication protocols. These enable the WISE-4220 to connect directly with Microsoft’s Azure IoT Hub, Advantech’s WISE-PaaS and other cloud platforms without requiring additional gateways. The data storage design adopts an RTC time stamp that allows the unit to accumulate multiple data records and upload them to the cloud in a single transmission. This assists in reducing data traffic and maintaining network stability, and can even lower communication costs.

The WISE-4470 also utilises an STM32L4 microcontroller and can integrate various products on a mobile network. In the near future, this model will also support NB-IoT and eMTC. Similar to the WISE-4220, the WISE-4470 also supports multiple IoT protocols and it is equipped with an RTC data logger. However, the WISE-4470 also incorporates a USB interface provided by the ST microcontroller, which allows for the rapid connection of various types of wireless communication modules.

By inheriting the direct cloud connectivity design of the WISE-4000 series, the WISE-4220 and WISE-4470 are suitable for environments such as factories, server rooms, data centres and cold chain storage facilities. These two models can also be used for monitoring equipment status in applications involving power generators, water pumps and air conditioners, overall helping lower personnel costs by eliminating the need for inspections or patrols by maintenance staff. Through integrated cloud services, big data can be used to achieve more advanced monitoring applications, including environmental condition monitoring, equipment operation status analysis and preventive maintenance forecasting.

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