You certainly know already a lots of things about IoT (if not, read this or this), but do you know about the Initial State’s IoT platform ? Briefly, that’s a web-based platform (SaaS) to which you can stream data out from your electronics devices. The platform is then going to store this data for you and enable you to visualize/report it quite nicely, always through your preferred web browser.
They have had quite success so far in the hobby/consumer space, enabling to easily pipe data out of a Raspberry PI for all sorts of cool applications. The need to pipe out informations from controllers is everywhere, especially in industrial electronics (that’s Industrial IoT, IIoT). Hence, this type of feature is a perfect fit with Alizem embedded motor control software products enabling to pipe out informations regarding electric motor’s states: temperature, currents, rotor position, speed, etc.
For those reasons, I am pleased to announce the release of Alizem IoT Interface software that’s meant to connect new and existing electrical equipment products to Initial State’s IoT platform. This new product is now available in two versions: standalone (great for existing products) and integrated into Alizem embedded motor control software (ideal for new products). Both versions include a reference design based on Altera MAX10 FPGA Development kit.
For electrical equipement manufacturers, that’s a great way to integrate IoT features easily and quickly and also to:
- Accelerate product development by detection bugs early
- Easily share data between development teams working at different locations
- Remotely monitor critical performance data such as power consumption, load motion profiles, current shape and temperature
- Build new value-added services by bundling their electrical equipment products with SaaS based monitoring services and provide peace-of-mind to your customers by having them access to all their equipment operation data
For more information, please visit www.alizem.com/iot and/or feel free to contact me over this blog.
Best Regards, Marc.
This blog has been originally published here, on LinkedIn.