You need the right advanced analytics platforms that use machine learning (ML), deep learning (DL), or other artificial intelligence (AI) processes to crunch the datasets and produce actionable predictions and insights that guide your decision-making. Develop an integrated data systemĭata historians gather the data, but that data is only valuable if you have a way to extract insights and apply them to your processes.

Smaller plants tend to choose SQL-based data historians, while larger ones prefer NoSQL ones. How Can Process Plants Implement a Historian Most Effectively?Īn effective data historian needs to be easy to use, compatible with your existing IT infrastructure, and able to support the amount of data your plant produces. Data from a historian can be used for data visualization, to generate reports, or for advanced analytics tools that produce predictive monitoring insights, predictive maintenance alerts, track fluctuating market conditions, and guide business decision-making. Plant engineers need accurate metrics about a number of parameters for every part of the plant so that they can check for inefficiencies, perform root cause analysis, and plan maintenance scheduling.Ī data historian automates the collection of time-series data from the numerous sensors all over the plant, so that plant engineers can draw on it when needed. Process plants are incredibly busy places, with numerous processes, systems, and items of equipment operating together. Why is a Historian Important for Process Manufacturing Plants? They provide secure storage and faster retrieval for process plant data, however, you need specialist skills to access the full potential of the information locked inside them. It automatically logs process and production data and compresses it for more efficient storage.ĭata historians were developed about 30 years ago for certain industries, particularly process manufacturing sectors like pharmaceuticals, oil and gas, chemicals, and paper and pulp. A data historian, or simply a historian, is a type of database that’s designed to collect and store time-series data from various sources around a process plant.

Wonderware historian extract data