Are data historians holding us back?
The role of the data historian has changed a lot since the 1980s, and it’s time to rethink how it serves us. Industry 4.0 demands better integration between OT and IT systems, allowing teams to centralize data and extract real-time
From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies
Industrial maintenance…a headache? Yes. Thief of time? Absolutely. Reputation killer? It has its moments! These are the results of relying on a reactive approach to industrial maintenance. Reacting when equipment failures occur repeatedly without warning leads to operational downtime, production
Predictive Maintenance Meets OEE: A Roadmap to Smarter Manufacturing
Introduction In today’s fast-paced manufacturing world, the days of making important decisions based only on guessing are over. Companies are streamlining operations by adopting data-driven strategies and real-time information to maintain an advantage in an increasingly competitive environment. This change is
Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain
Modernizing Data Historians for Smarter Industrial Operations
A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of Industry 4.0 and how
Managing Highly Contextualized Data for IIoT
Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns and irregularities in this
Time Series Data as the Backbone of Smart Grid IIoT Solutions
The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient
Hybrid Architecture for Time Series Data Pipelines
The ability to efficiently manage and analyze time series data is crucial in many sectors and industries. This article explores the development of a hybrid architecture designed to optimize the handling of such data, particularly from IIoT sources. By integrating
Enhancing IoT Efficiency through MQTT and Time Series Data
In the rapidly evolving world of IoT, efficient data communication and management are paramount. The white paper "Working with MQTT and InfluxDB" provides a comprehensive overview of how MQTT, a lightweight messaging protocol, pairs with InfluxDB to create powerful solutions for data-intensive