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ioEYE is an Application Enablement Platform designed for IoT/M2M System Integrations
Monitor asset data in real time
ioEYE can capture data at an interval of one minute or above from a variety of assets, devices, equipments and automation systems. You can then view this data from anywhere online.

Control assets in real time
You can manually switch equipments or devices on and off from anywhere online. You can also setup automatic control rules. Example - Automatic switching (on or off) of equipments or devices if an alarm occurs.

Web based user interface
Requires only a web browser. Scalable vector interface fits any size screen without distortion. You can now have a larger screen in your plant, building or team area to display vital parameters. This is a good way to keep your team informed of latest asset and equipment conditions.

Real time alarms over email and SMS
You can set alarm rules to monitor unacceptable conditions or readings. ioEYE immediately communicates alarms via email and SMS alerts to the right person for immediate action.

Hardware and network agnostic
Choose the best combination of hardware and network. ioEYE can acquire data from any equipment or device that supports open communication protocols, like the MODBUS protocol. It comes with a pre-supported list of hardware and building support for new hardware is easy.

Device diagnostics
ioEYE constantly monitors devices that are part of its infrastructure, like gateways and routers that send data to it. Administrators can quickly identify devices that are faulty, and address issues quickly. This reduces any system downtime due to device failure.

SNMP alarm Traps
ioEYE supports SNMP alarms traps. When a SNMP enabled device detects an alarm condition it immediately sends out an alarm trap to ioEYE. ioEYE then communicates this alarm to you. And all this happens in near real time.

Group assets, devices or equipments
You can group assets, devices or equipments in functional hierarchy. Group them according to department, location, functionality or any other way that makes sense to you.

Control user access at asset level
You can manage access at asset or equipment level by assigning users or managers to them. Only users authorized can monitor, control or receive alarms from these assets, devices or equipments.

  • SenseGrow
    SenseGrow creates easy to use Internet of Things (IoT) software that enables developers to build IoT solutions faster and businesses to get more value from their connected devices. Their software Instamsg allows users to build IoT applications. Year founded: 2014
  • Software as a Service
    Open website
  • Application Industries
  • Construction & Buildings
    Equipment & Machinery
  • Application Functions
  • Maintenance
    Quality Assurance
  • Continuous Emission Monitoring Systems
    Continuous emission monitoring systems (CEMS) measure airflow, dust, the concentration of air pollutants (such as SO2, NOx, CO, etc.), and other parameters related to emissions. Required parameters depend on the type of stationary source and local regulations. A standard CEMS consists of a sample probe, filter, sample line (umbilical), gas conditioning system, calibration gas system, and a series of gas analyzers that reflect the parameters being monitored. Typically monitored emissions include: sulfur dioxide, nitrogen oxides, carbon monoxide, carbon dioxide, hydrogen chloride, airborne particulate matter, mercury, volatile organic compounds, and oxygen. CEMS can also measure airflow, flue gas opacity, and moisture.
    Building Automation & Control
    Building automation and control (BAC) systems involve a combination of hardware and software that control aspects of a building’s systems, potentially including power, lighting and illumination, access and security, heating, ventilation and air-conditioning systems (HVAC), environmental sensors, elevators and escalators, and entertainment. Benefits of building automation and control systems can include efficient control of environmental conditions, individual room control, increased staff productivity, effective use of energy, improved equipment reliability, and preventative maintenance. For example, systems can provide information on problems with building equipment, allowing for computerized maintenance scheduling as opposed to reactive identification and management of issues. Building management systems are most commonly implemented in large projects with extensive mechanical, HVAC, electrical, and plumbing systems. Building management systems (BMS) are central to BAC use cases. Systems linked to a BMS typically represent 40% of a building's energy usage; if lighting is included, this number approaches 70% on average. BMS systems are thus critical components for managing energy demand. Improperly configured BMS systems are believed to result in the wastage of 20% of a typical building's energy usage, or approximately 8% of total energy usage in the United States.
    Building Energy Management
    Building energy management systems (BEMS) provide real-time remote monitoring and integrated control of a wide range of connected systems, allowing modes of operation, energy use, and environmental conditions to be monitored and modified based on hours of operation, occupancy, or other variables to optimise efficiency and comfort. Building energy management systems can also trigger alarms, in some cases predicting problems and informing maintenance programmes. They maintain records of historical performance to enable benchmarking of performance against other buildings or across time and may help automate report writing. BEMS are often integrated with building automation and control (BAC) systems, which have a broaded scope of operations.
    Process Control & Optimization
    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 optimization: The 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 procedures: Operating 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 optimization: In 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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