Ideas Hub
Innovation has been a buzzword uttered by many a water provider in recent years. This has made data acquisition, aggregation and analysis technologies more appealing — however, introducing new systems is understandably complicated in such complex networks.
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In the fourth industrial revolution — or Industry 4.0 — data is the new electricity. Before we can truly begin to revolutionise industry, more businesses need to have the means of capturing, storing and analysing their industrial process and operations data.
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Most manufacturers have started taking steps to reduce energy demand by investing in energy efficient technologies and metering systems. However, these technologies are only as useful as they are monitored and managed, which can be difficult for larger businesses.
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Production challenges do not wait on IT developments, and getting to the root of a problem, or identifying the conditions that hinder smooth operation, does not always have to be rocket science.
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Effective industrial data collection, aggregation and visualisation software has made it possible for manufacturers to gain insights into their processes.
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alk of Industry 4.0 has been useful in helping businesses understand the value of industrial automation and connectivity. But a lot of it is just hype, and many of the technologies are not being adopted as broadly or effectively as they could be.
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There are many ways that unplanned downtime can negatively impact a business. In continuous process industries downtime causes produce to be lost. The costs of this further impact the bottom line, beyond just lost profits.
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The oil and gas industry is perhaps one of the most important to the global economy, with the combined economic value of upstream oil and gas sectors accounting for at least an estimated five per cent of the entire global economy.
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The consumption of safe and nutritious food is a basic human right, with safe being a key word. Unfortunately, it’s not uncommon for the safety of food to be called into question, leading to recalls and extensive investigation.
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It’s no secret that data collection is important for generating valuable insight that helps plant managers improve efficiency in industrial systems. However, what seems unknown to many in the industry is the importance of understanding the context of the data being analysed
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