The economic value of using IoT for water leak identification and water quality monitoring could lead to a combined value of 110 billion by 2030.
Monitor the live condition of your plants and systems – anywhere, anytime. With OPUS, you can receive alerts when there is a deviation from optimal conditions, allowing advance notice of failures and detailed insights for the scheduling of maintenance and prevention of contamination and discharge.
Water Utilities and Waste Management can connect real-time IOT sensors across the network, as well as historical performance and usage data, plus weather data, and apply no-code AI to predict future conditions, optimizing of the availability and serviceability of critical assets, and improving processes such as chemical dosing.
Power consumption in the water industry is high, at almost 80% in some desalination plants; AI can provide insights to help reduce energy consumption and improve the industries performance and sustainability goals.Discover OPUS
Desalination plants consume large amounts of energy as part of their processes, reducing this energy consumption is a key goal of utility operators, where power can be up around 80% of total operating costs. Using VROC OPUS, desalination plant operators can apply no-code advanced analytics to uncover ways to optimize their processes to reduce this power usage, and drastically lower their operating costs.Book Demo
Drinking water treatment plants can be further optimized to meet corporate goals of sustainability and cost reduction. With many utility operations incorporating renewables into their power grid, AI can assist to predict energy generation and demand, to optimize operational decisions. System and network operators will benefit from a holistic data-lead approach to maintenance, to ensure efficiencies are maintained.Book Demo
Water Utility companies with existing Web SCADA teams will greatly benefit from the VROC solution, which combines data storage, analytics, and SCADA in one platform, helping improve smart monitoring and automation across the network, plus allow for advanced analytics to improve business decisions, such as the comparison of different pumps to identify which pumps are best suited to different locations.Book Demo
Wastewater treatment plants can look to benefit from no-code advanced analytics in a number of ways, including the reduction of power consumption, reduction and optimization of chemical usage on sludge, and compliance with odour KPIs. These benefits can be obtained by connecting existing data sources and applying no-code AI.Book Demo
Optimize your team with anywhere, anytime access to real time monitoring and predictionsRead more
Produce AI models in minutes without coding or programmingRead more
With model confidence and accuracy averaging 99%, users have confidence to make decisionsRead more
Built to integrated with legacy systems and equipment agnostic so you can obtain insights from your dataRead more
Client supply of historical data and set-up of real-time streaming
Data ingestion and real-time data streaming connection
Client training and model generation
Models in production. Client starts delivering business value
Chemicals are an operating cost for a water treatment plant. Operators can reduce costs by dosing just enough chemical to acRead Case Study
Forecast and predict waste and storm water chokes, reduce disruptions and optimize your cities resourcesRead Use Cases
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We explore five trends being adopted to help scale the use of Industrial Artificial IntelligenceRead Full Article
Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.
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Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB4.0, VROC's distributed enterprise data historian. Complete the form form to download the product sheet.
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'OPUS, an artistic work, especially on a large scale'
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