IIoT
Predictive Maintenance for Industrial IoT Devices at the Edge
Working at the edge In industrial operations, time is money. The more efficient processes and machinery are, the better it is for business. Providing proactive monitoring and maintenance of industrial machines, however, is not an easy task. This is especially true...
Modernizing IIoT Operations with InfluxDB
Continuing in our series of InfluxDays recaps, we turn our attention to Brian Gilmore’s presentation on Industrial IoT. This is an area that uses time series data extensively and has a lot of room to expand the way it uses this...
Yes, You Subscribed Correctly. The OPC UA Client Listener Plugin Has Been Released!
This article would not be possible without the contribution of Lars Stegman. The OPC UA Client Listener Plugin was his own contribution to a long-standing issue. Telegraf now includes a new plugin highly anticipated by the community. The OPC UA Client...
How Ekopak Manages Water Treatment Data with InfluxDB
A wide variety of industrial processes rely on water, and before it can be used, it needs to be treated to remove dissolved substances. Minerals have to be filtered out so they don’t form scales on equipment as water is heated...
Intro to OEE
Efficient manufacturing is important for saving companies time, money, and energy. Making decisions based on data can improve efficiency, but there’s a lot of data to sort through. Manufacturing equipment contains many sensors, especially in the IIoT space. Overall Equipment Effectiveness...
Webinar Highlights: How Olympus Controls Automates Predictive Maintenance with Telit, MQTT, and InfluxDB
Unplanned outages are problematic for any organization, and can be especially costly for manufacturers when they involve parts that have a long lead time. In this webinar, Nick Armenta – Automation Engineer at Olympic Controls, shares how InfluxDB provides insights into...
Herrenknecht AG Powers IIoT Platform and Edge Data Collection for Tunnel Boring Machines with InfluxDB
Herrenknecht AG is a technology leader in mechanized tunneling systems. Engineers at Herrenknecht set out to build an industrial internet of things (IIoT) platform that provided insight into live and historic data for all their tunnel boring machines (TBMs). These machines...
Managing Time Series Data in Industrial IoT
Thsi article was originally published in The New Stack. Posted here with permission. The industrial revolution was a watershed period in human history. The shift from piecemeal, cottage-industry work to mechanized manufacturing transformed the way humans work. Since the 18th century,...
Where Will Process Historians Fit in the Modern Industrial Technology Stack?
When Rolls Royce Power Systems recently needed to improve its operational efficiency within its manufacturing plants, it didn’t expand its use of a legacy process historian or purchase historian connectors to export data to their business intelligence systems. Instead, it decided...
A Platform Gaining Momentum: Announcing New InfluxDB Features for Industrial IoT
Data – specifically time series data – continues to be the key ingredient for successful digital transformation. No matter the industry, time series data helps companies understand the activities and output of people, processes and technologies impacting their business. The effective...