Digital Solutions
Digital Solutions
Enabling utilities with the tools for connectivity, flexibility, digitalization, and empowerment to optimize operations and customer service
Water utilities are working to streamline systems to collect operational data for informed decision-making in capital investment planning, customer service, and operator training requirements. Based on demonstrated results, Brown and Caldwell’s approach to digital solutions is customized for the water industry—including wastewater, drinking water, and stormwater.
Our digital water solutions are developed and implemented by industry-leading experts, combining digital skills with deep engineering knowledge. Beyond basic data-driven decision making, our approach creates a new utility paradigm to proactively reach optimal operational efficiency. The approach is flexible and scalable, so it can be applied to utilities of any size. These services and solutions build upon one another at a speed that matches organizational readiness and resources, providing higher returns at each step. Ultimately, this empowers operators and managers with a powerful set of tools and related processes—featuring user-friendly interfaces, automation, machine learning, artificial intelligence (AI), digital twins, building information modeling (BIM), and other artificial intelligence-enhanced analytics—to achieve unmatched utility performance.
Digital Master Plans
Developing custom technology roadmaps that leverage digital technologies to meet current and future challenges
Operations & Maintenance
Expert implementation of SCADA, smart sensors, internet of things, digital twins, and predictive maintenance to boost performance and efficiency
Data and Analytics
Creating value and extracting data-driven insights through advanced analytics and artificial intelligence across applications (CMMS, SCADA, GIS, etc.)
Digital Master Plans
Developing custom technology roadmaps that leverage digital technologies to meet current and future challenges
Operations & Maintenance
Expert implementation of SCADA, smart sensors, internet of things, digital twins, and predictive maintenance to boost performance and efficiency
Data and Analytics
Creating value and extracting data-driven insights through advanced analytics and artificial intelligence across applications (CMMS, SCADA, GIS, etc.)
Using Artificial Intelligence and Machine Learning Operations in the Water Industry
Advancements in computing, data availability, and artificial intelligence/machine learning (AI/ML) technologies have revolutionized operational efficiency and predictive maintenance. Water utilities can capitalize on these developments to enhance operations and maintenance. By integrating weakly supervised learning into ML Operations, utilities can overcome challenges like limited labeled data and high costs associated with data annotation. The adoption of agile methodologies and collaborative team structures can significantly improve the development, deployment, and maintenance of models, ensuring that water utilities are well-equipped to meet future challenges with AI/ML solutions.
Digital solutions to optimize PFAS interventions
Digital solutions quickly analyze data to identify patterns
PFAS are widespread pollutants often found in the environment. Identifying the source of PFAS in a water sample is an essential part of PFAS pollution clean-up and prevention. In this study, Kibbey et al (including Andy Safulko and Greg Coyle from BC) demonstrate how machine learning can effectively identify patterns in PFAS from different sources—thereby facilitating optimal PFAS interventions.
The water industry standard for planning and implementing Digital Twins
As utilities continue to seek ways to reduce operation costs, train new generations of operators, quickly respond to seasonal or climate-driven changes, what-if scenario simulations for safer implementation, and make the most of their investments, Digital Twin is advancing utility preparedness. The Digital Twin Readiness Guide provides the framework, steps, and path to achieve essential insights leading to more intuitive water systems operations, making the utility more efficient. The guide was led by Brown and Caldwell, DHI, the SWAN Forum, and with contributions from a diverse group of global utilities, solution providers, academia, and thought leaders.
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Related Papers and Reports
- Multi-class machine learning classification of PFAS in environmental water samples: a blinded test of performance on unknowns
- Digital Twin Readiness Guide
- Smart Utility as a Technology Platform: Setting the Course to Become a Smart Utility
- Implementation of Advanced Asset Management Principles and Benefits Achieved at the Sacramento Regional County Sanitation District
- The Port of San Diego Applies Information Technology to Storm Water Compliance, A Case Study.