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.
McKinsey
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 OPUSDesalination 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 DemoDrinking 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 DemoWater 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 DemoWastewater 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 DemoClient 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
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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.
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'OPUS, an artistic work, especially on a large scale'
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