The ARM® Cortex® -M4F processor-based microcontroller ADuCM4050 from ADI is a power saving, integrated microcontroller system with integrated power management, as well as analog and digital peripheral devices for data acquisition, processing, control, and connectivity. All of this makes it a good candidate for local data processing and early refinement of data with state-of-the-art smart AI algorithms.
The EV-COG-AD4050LZ is an ultralow power development and evaluation platform for ADI’s complete sensor, microcontroller, and HF transceiver portfolio. The EV-GEAR-MEMS1Z shield was mainly, but not only, designed for evaluation of various MEMS technologies from ADI; for example, the ADXL35x series, including the ADXL355, used in this shield offers superior vibration rectification, long-term repeatability, and low noise performance in a small form factor. The combination of EV-COG-AD4050LZ and EV-GEAR-MEMS1Z can be used for entry into the world of structural health and machine condition monitoring based on vibration, noise, and temperature analysis. Other sensors can also be connected to the COG platform as required so that the AI methods used can deliver a better estimate of the current situation through so-called multisensor data fusion. In this way, various operating and fault conditions can be classified with better granularity and higher probability. Through smart signal processing on the COG platform, big data becomes smart data locally, making it only necessary for the data relevant to the application case to be sent to the edge or the cloud.
The COG platform contains additional shields for wireless communications. For example, the EV-COG-SMARTMESH1Z combines high reliability and robustness as well as extremely low power consumption with a 6LoWPAN and 802.15.4e communication protocol that addresses a large number of industrial applications. The SmartMesh® IP network is composed of a highly scalable, self-forming multihop mesh of wireless nodes that collect and relay data. A network manager monitors and manages the network performance and security and exchanges data with a host application.
Especially for wireless, battery-operated condition monitoring systems, embedded AI can realize the full added value. Local conversion of sensor data to smart data by the AI algorithms embedded in the ADuCM4050 results in lower data flow and consequently less power consumption than is the case with direct transmission of sensor data to the edge or the cloud.