Author: Ste
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Optimizing Water Pump Operations Using BeChained AI
Executive Summary In this case study, we detail how BeChained, an AI-driven optimization platform, enhanced the energy efficiency and operational performance of two parallel-connected water pumps with capacities of 45 kW and 40 kW. These pumps serve a water distribution system comprising two tanks, which in turn supply more than 20 end users. BeChained achieved…
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Introducing BeChained’s Onboarding Process
(Original article on BeChained’s Medium) As manufacturers face increasing pressures to reduce energy consumption and lower costs, BeChained’s AI-driven solutions offer a powerful way to optimize energy usage across machines, processes, and entire facilities. Even BeChained’s needs to deploy a structured process to minimize bottleneck or setback during a customer onboarding. So, to seamlessly integrate…
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Protected: Air Compressor Optimization at Paper Mill
There is no excerpt because this is a protected post.
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Reinforcement Learning vs. Traditional Machine Learning in Real-Time Industrial Optimization
(Original article on Medium) When talking with Clients or Investors, you are often asked to highlight why BeChained’s solution sets apart from competitor’s. They say that we both use AI. In today’s industry, AI has become a buzzword. All the service providers propose AI-powered solutions. However, what matters is how they handle client’s problems. Managing…
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MES, SCADA and OPC in Industrial Automation: How AI Cracks Energy Efficiency
(Original article on Medium) The integration of various systems is key to achieving streamlined, efficient, and sustainable operations in industry. The important systems that drive automation and data exchange in manufacturing are Manufacturing Execution Systems (MES), Supervisory Control and Data Acquisition (SCADA), and Open Platform Communications (OPC). These systems, while distinct in their roles, often work together to…