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Consolidate and Organize Disparate Data for Real-Time Monitoring and Control
Status Enterprise collects and organizes data from hundreds of potential sources for real-time visualization, automation, and analysis. Data is collected from various locations and aggregated into an information model. The system is open, accessible by REST, OPC UA or our .NET object model. Clients can view screens from a high performance Windows client, or any mobile device supporting HTML 5 - including iPhone, iPad, Android devices and desktop browsers.
- Information Model Based Architecture Built on OPC UA
- HTML5 Publication for Native Web and Mobile Support
- Fast, Easy, Code-Free Application Development

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  • SUPPLIER
  • B-SCADA
    B-Scada provides software and hardware solutions for the monitoring and analysis of real time data in the SCADA (Supervisory Control and Data Acquisition), IoT (Internet of Things) and Smart City domains. B-Scada systems are sold worldwide in various verticals including: building automation, transportation, smart grid, manufacturing, agriculture and commerce. B-Scada solutions are deployed onsite and as cloud-hosted solutions in a SaaS (Software as a Service) model.
  • SNAPSHOT
  • Platform as a Service
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    Open website
  • Application Industries
  • Chemicals
    Energy
    Equipment & Machinery
    Transportation
  • Application Functions
  • Maintenance
  • USE CASES
  • Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Structural Health Monitoring (SHM)
    Structural health monitoring is a tool used to ensure the safety and soundness of structures. Structural health monitoring uses an assortment of sensors to collect and analyze data pertaining to any damage or deterioration that a structure may receive over the course of its life. The data that structural health monitoring systems acquire can help its users avoid structural failures.Numerous structural health monitoring systems are available. They differ by cost, quality, purpose, and technology. They use many types of structural health monitoring devices and software systems to analyze the data retrieved from the devices. The type of structural health monitoring system that should be used is specific to the structure or structures being monitored.Structural health monitoring is used on structures such as bridges, skyscrapers, stadiums, wind turbines, ships, airplanes, and many others. 
    Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components:Monitoring: Tracking the current operating status of the asset.Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies.Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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