Olympus Controls specializes in simplifying the integration of motion control, machine vision, and robotic technologies through better automation. They partner with their clients from creation to implementation, and nearly half of the Fortune 100 use Olympus Controls to improve manufacturing plants and factories. Driven to find the root cause of a problem, Olympus Controls implements technologies and devices that can connect to a platform, such as InfluxDB, for Industrial IoT sensor monitoring.
Olympus Controls uses InfluxDB to automate predictive maintenance. The team uses Telit and MQTT to reduce siloed manufacturing operations, including monitoring robotic arms (i.e. vibration and temperature). InfluxDB provides insights into when parts may fail to help predict the maintenance windows for their robots and enables Olympus Controls to help their customers avoid costly repairs and unplanned outages.
Improved machinery uptime
By analyzing sensor metrics to enable predictive maintenance
Reduce operation costs
By monitoring machine health to avoid unplanned outages
Enabled predictive maintenance
By improving analysis and visualization
“Full stack data to visualization on one platform. I was able to scrape my broker, send it to my cloud instance of DB and start visualizing it. Low cost of entry to set up. It was free. They just give you the first bucket for 30 days. So that was nice for proof of concept. And scalability I can flip a switch, subscribe, change my plan. I can essentially unlock as much functionality as I want without any additional infrastructure on my end.”
Cree, Inc.
Cree uses InfluxDB to monitor LED lights in real time to enable maintenance and upgrades.
Tignis
Tignis uses InfluxDB to power its IIoT analytics platform that improves performance and enables predictive maintenance.
Texas Instruments
Texas Instruments uses InfluxDB to monitor and improve product and quality assurance by discovering operational inefficiencies.
