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How to Use AF SDK with .NET8: Compatibility, Changes and Migration Strategy

Custom Development, Historians /

Introduction The AF SDK has been a core component for building custom applications on top of the AVEVA PI System. For years, development with the AF SDK has been based on the .NET Framework, which shaped how custom applications were built and deployed within the PI System ecosystem.MetaFactor are Calgary OSIsoft PI Experts and Calgary […]

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How to Build a Powerful Industrial Time-Series Data Platform with TimescaleDB

Historians /

The Growing Demand for Scalable Industrial Time-Series Infrastructure  Industrial environments generate vast volumes of time-stamped data from PLCs, DCS platforms, SCADA systems, edge gateways, and IIoT devices. Measurements such as pressure, temperature, flow, vibration, and energy consumption are continuously transmitted using widely adopted protocols including OPC UA, MQTT (including Sparkplug B), Modbus TCP, and REST-based integrations. As organizations

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Unlock Industrial Time Series Analytics Using Open-Source InfluxDB

Business Intelligence, Historians, Visualization /

Time-Series Data in Industrial Operations  Industrial operations generate large volumes of time-stamped data from PLCs, DCS, SCADA systems, and edge devices. Measurements such as pressure, temperature, flow, and equipment states are captured continuously across assets and processes, creating high-frequency data streams that require specialized storage and fast time-based access.  When organizations modernize their OT data

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Unlock Actionable Industrial Intelligence with the AVEVA PI System

Historians /

Overview of the AVEVA PI System We are Calgary OSIsoft PI Experts and Calgary OSIsoft AF Experts. The AVEVA PI System is the industry’s leading enterprise solution for collecting real-time data. It enables organizations to aggregate vast amounts of time-series data and transform it into actionable insights, supporting real-time monitoring and predictive analysis. The PI

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Accelerating Breakthrough Performance with Digital Twins in Greenfield Environments

Analytics /

Why Greenfield Industrial Sites Are the Ideal Starting Point for Digital Twins We are Calgary OSIsoft PI Experts A greenfield industrial project refers to the development of a new facility built from the ground up on an undeveloped site, with no existing infrastructure or systems. This includes new oil processing facilities, wind farms, and solar plants. We

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Proven Strategies to Integrate AVEVA Historian with AVEVA PI

Historians /

Overview of AVEVA Historian  AVEVA Historian is a long-standing industrial time-series database designed to capture, compress, and store real-time plant data while responding efficiently to SQL queries. Originally launched under the Wonderware brand, it has evolved into a robust platform commonly used across manufacturing, energy, water, and infrastructure operations.  The historian’s connector suite enables direct polling from

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MetaFactor’s Manual Data Entry App: One Powerful and Intuitive Tool

Visualization /

Overview In the evolving landscape of industrial operations, the ability to capture accurate, timely data remains a cornerstone of operational excellence, especially when it comes to assets and systems that rely on consistent monitoring. While automated data collection from sensors and IoT devices has become the norm, manual data entry still plays a critical role

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Automate and Enforce Data Quality with Delta Live Tables

Analytics, Visualization /

Introduction: The Evolution of Data Pipelines Data pipelines are essential to modern analytics and digital operations across industries, from financial services to healthcare. In the oil and gas industry, data pipelines are particularly valuable because they power seismic data interpretation, real-time IoT sensor monitoring from rigs and pipelines, and regulatory reporting on emissions and sustainability.

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Transforming Wind Farms: How AI and Data Analytics Unlock Efficiency

Analytics, Visualization /

Introduction Modern wind farms face complex operational challenges, dynamic weather conditions, variable wind patterns, and the wear and tear of turbine components. To manage this complexity, AI and data analytics offer powerful tools: they can analyze sensor and geospatial data in real time, predict equipment failures before they happen, and suggest optimum turbine configurations for

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