Emerson’s Jonas Berge has penned another great LinkedIn article, M+O Sensors: Comprehensive Plant Data Collection. Typically, plant sensors are added for measurement and control (M+C). Jonas highlights the importance of adding sensors for monitoring and optimization (M+O).
He opens the article by sharing the key points he makes:
- Effective monitoring of threats, management of inventory and quality, and industrial AI for reliability and performance need real-time data you don’t have.
- Companies tackle this by automating data collection in their plants.
- The recommendation is to deploy sensors in manual test positions using simpler M+O grade sensors.
- The result is improved productivity, reduced production downtime, and greater sustainability.
Jonas explains the difference between M+O and M+C sensors.
NAMUR NE183 refers to transmitters in control, alarm, and safety applications as measurement & control (M+C) sensors. For positions that previously relied on mechanical gauges or portable testers, plants are now deploying a new class of sensors. NAMUR NE183 refers to these as monitoring & optimization (M+O) sensors. Manual data collection is time-consuming and error prone. Therefore plants are looking to automate this data collection. This applies to both new and existing plants.
One significant point he makes is that both M+C and M+O sensors can provide a wealth of data required for Industrial AI applications. In a LinkedIn update post, Jonas writes:
If your ambition is #industrialAI, well then this is the right solution for that too, because a #AI without sensors is like a brain without senses. Sensors for monitoring & optimization (M+O) are the foundation of industrial AI. Sensors for vibration, acoustic noise, and ultrasonic thickness share the same wireless sensor network infrastructure.
Read the article for many more insights and suggested actions. If you want to be notified when Jonas shares his expertise on LinkedIn, visit his profile page and click the bell icon below the banner image on the right.
