The development of Industrial Control Systems (ICS) over the past two decades has changed the face of many industries. Operation Technology (OT) — largely industrial equipment — has become increasingly connected, and the integration of Information Technology (IT) components allows such devices to leverage software that drives data collection and analysis, resulting in enhanced performance and ultimately "smarter" machines.
The data generation and collection strategies at the center of manufacturing processes have evolved dramatically, especially in recent years. Process manufacturers now collect and store huge volumes of data throughout their operations, both on and off premise, across multiple geographic locations, in an increasing number of separate data silos. In this paper, we propose five questions we believe every process manufacturing buyer should ask when evaluating a data analytics solution.
Often the first notification of a spill comes from a member of the public, hours and sometimes days after the first spill. This can intensify public health and environmental impacts and the cost of clean-up efforts. Following a sewer spill at an environmentally significant site at Midway Point in August 2017, TasWater sought a way to reduce the likelihood and impact of spill events occurring in the future.
Like many other energy companies, Devon Energy, a leading independent oil and natural gas exploration and production company in North America, generates huge volumes of data. The company’s SCADA system monitors 6.5 million data points from multiple sites, with more than 10,000 updates per second.
In 2007, White House Utility District (WHUD), a water utility serving approximately 90,000 consumers and businesses in Tennessee, faced a dilemma: how to meet a projected growing demand for water within the budget and capital constraints faced by municipal and mid-sized utilities everywhere.
One of the nation’s largest four-service utility providers, Colorado Springs Utilities supplies energy and water to over 450,000 people. The state-certified laboratory of the Water Quality Assurance section processes over 14,000 samples and 80,000 analytes per year from eight watersheds, seven finished water treatment facilities, 38 finished water reservoirs, four post-chlorination stations, two wastewater treatment facilities, and over 2700 miles of pipeline.
“We have too much data” is the refrain we continually hear from water utilities. It’s no surprise that managing data from multiple sources and turning it into business insights presents a daunting challenge; however, data influx does not have to be a burden. When managed well, there’s no such thing as too much data, especially if your business is implementing a big data strategy — a topic that has implications and reach beyond the scope of this paper.
At 10am on August 24, 2017, a customer in Midway Point, a small suburb outside of Hobart, Tasmania, reported a sewage spill on his property. Midway Point stands adjacent to Pitt Water Nature Reserve, home to rare birds, butterflies, and the largest oyster lease in Tasmania, covering some 14 hectacres. In late August, Pitt Water oysters, prized for their briny flavor and consistency, were just coming into peak condition.
The OSIsoft PI System is at the center of Thames Water’s “intelligence Hub” (iHub), which merges disparate data sources to drive operational performance. Thames Water can now garner critical insights from its network of water delivery and sewage waste removal systems that span the greater London area.
Yorkshire Water produces 1.3 billion liters of clean water and treats one billion liters of water in its waste water networks every single day. The company has 686 treatment facilities spread across northern England and 83,000 kilometers of water pipelines, which is enough to circle the earth twice.
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