Multi Service IoT Gateways

The ReliaGATE 20-11 is a ready-to-deploy industrial grade smart device that enables communications, computation power, simplified application deployment and M2M platform integration for fast creation of M2M services.
The ReliaGATE 20-11 provides a flexible communication architecture that includes a 2G/3G cellular, WiFi, 802.15.4/Zigbee and GPS interfaces. It offers connectivity to a wide range of sensors and edge devices and makes it easy to deliver the data to business applications.
The ReliaGATE 20-11 also includes interfaces for wired connectivity such as Gigabit Ethernet, up to two serial ports and two USB ports. The ReliaGATE 20-11 is simple to manage and delivers out-of-thebox connectivity and intuitive configuration of the routing parameters thanks to a web GUI and over-the-air options. The ReliaGATE 20-11 is compatible with Eurotech’s Everyware™ Device Cloud (EDC), the end-to-end solution to bring data from the field into the business applications, through a flexible and scalable infrastructure and a number of cloud-based services.

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  • SUPPLIER
  • Eurotech
    Eurotech is a global company focusing on embedded computers and pervasive computing, which combines three key factors: the miniaturisation of computers capable of processing information; their spread in the real world - in buildings and machinery, on board vehicles, on persons and in the environment; and their ability to network and communicate. Year founded: 1992 Revenue: $69 million (2014) BIT: ETH
  • SNAPSHOT
  • Network Equipment
    Network Gateways
    Open website
  • Application Industries
  • Equipment & Machinery
    Heavy Vehicle
  • Application Functions
  • Maintenance
  • USE CASES
  • Predictive Maintenance
    The aim of predictive maintenance is first to predict when equipment failure might occur, and secondly, to prevent the occurrence of the failure by performing maintenance. Monitoring for future failure allows maintenance to be planned before the failure occurs. Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance, without incurring costs associated with doing too much preventive maintenance.Predictive maintenance uses condition-monitoring equipment to evaluate an asset’s performance in real-time. A key element in this process is the Internet of Things (IoT). IoT allows for different assets and systems to connect, work together, and share, analyze and action data.  
    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.
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