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Industrial AI Solutions

1. Situational Awareness employs AI to assess the meaning of and visualize large, disparate data streams for real-time understanding of complex situations. This helps operators better monitor and respond to situations within operating infrastructures for utility smart grids, industrial production, transportation networks, governments, Internet of Things, and more. 

 

SA application capabilities include: 

  • Integrate multiple, disparate data sources from siloed systems in real time, including control systems, historians, enterprise IT systems, and external sources like weather and social media.   

  • Synchronize data with latencies correctly, using patented techniques and bitemporal time stamps.

  • Self correct bad or missing data. 

  • Scale Big Data with a multi-CPU architecture, in-memory processing, and optional cloud computing.

  • Persistently store all data as time-stamped semantic facts for audits, replays, and discovery.

  • Integrate with 3rd-party decision support tools via open interfaces for bi-directional, real-time communication, including tools such as Geographic Information Systems (GIS) like ESRI ArcGIS, dashboards, and Business Intelligence (BI) like Microsoft's PowerBI, 

SmartCloud's solutions improve monitoring, simulation, optimization, and control of complex situations within massive, real-time operational infrastructures.  Using our patented CRex software platform, we provide solutions with our partners and optionally as a subscription service.

 

Our solutions deliver value across three levels of AI-driven situational management decision making and actions:

 

AI-driven situational management for real-time decisions and actions

AI Reasoning Pyramid

SmartCloud's Industrial AI solutions improve situational management in real time across three levels of AI reasoning.

Smarter Infrastructures for:

  • Internet of Things Systems
  • Electric Power
  • Combined Heat & Power (CHP)
  • Water and Wastewater
  • Oil and Gas
  • Manufacturing
  • Government
  • Transaction Processing

2. Situational Intelligence (SI) adds understanding to Situational Awareness. Using AI models, SI identifies and explains causality between underlying data and important situations. This understanding leads to better decision making and planning of responses. 

 

SI solutions support decision makers with predictive alerts, root cause analysis, and simulations.      

 

Example solution areas include:

  • Fast Demand Response

  • Outage Management

  • Asset Health

  • Compliance

  • Fraud Detection and Prevention

 

3. Situational Control (SC) adds AI-driven optimization and control actions to Situational Intelligence. This helps minimize resource usage, balance energy consumption, and reduce operational costs.  

 

SC applications blend AI and algorithmic techniques for prescribing optimal operational settings. Techniques can include collaborative AI agents, machine learning, genetic algorithms, Bayesian networks, and linear and non-linear programming.  

 

The applications orchestrate open-loop and closed-loop control actions in real time via AI software agents and workflow models.

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