Software will enable district to monitor water distribution system performance in real time
Innovyze, a company producing business analytics software and technologies for smart wet infrastructure, has announced that Rancho California Water District, Calif., has chosen SCADAWatch software to monitor performance of its water distribution system and drive operational decisions. The software helps the district leverage its current investment in ArcGIS technology from Esri (Redlands, Calif.) with real-time visualization and predictive analytics to optimize operational efficiencies.
From its beginning in 1965 serving a small community, Rancho California Water District has seen its service area grow in to a city with over 12,000 irrigated acres of avocado, grape and citrus crops; over 37,000 residential customers and nearly 1,611 commercial users. The area covers over 156 sq mi, serving portions of the city of Temecula, the city of Murrieta and unincorporated portions of the county of Riverside, with a population of more than 147,600. The district’s water distribution system comprises 31 pump stations, 48 active potable groundwater production wells, 39 storage reservoirs with a capacity of 149.7 million gal, and 903 miles of pipelines.
SCADAWatch equips utilities with a scalable framework for viewing, sharing and analyzing water operational information, key performance indicator (KPI) measures and hydraulic and water quality data in motion on a real-time business dashboard. It automatically generates comprehensive, high fidelity performance reports to help utilities develop the optimal course of action based on specific performance objectives. Overall performance of all critical assets can be displayed both in real time and on a periodic basis (hourly, daily, weekly, monthly or year-to-year overview).
The software enables water utilities to monitor everything from uptime to analytics, instantly compute nonrevenue water and minimum nighttime flows, react faster to important events, solve day-to-day operational and maintenance problems and identify opportunities to drive operational efficiencies as they happen.