Elecsys Connect for iOS

Elecsys is a leading provider of innovative M2M (machine-to-machine) technology solutions and custom electronics for critical industrial applications. Elecsys systems enable customers to gain visibility and control of field assets to increase efficiency, enhance safety, and maximize productivity. Our award-winning products can be flexibly integrated into any system and can communicate via MODBUS into existing SCADA, or via cellular or satellite telemetry into our user-friendly data management system.

With tens of thousands of systems deployed in over a dozen countries, Elecsys M2M solutions have been field-proven in harsh and remote environments to provide simple, yet powerful, end-to-end solutions incorporating rugged field hardware, wireless communication systems, data management applications, and flexible data interface options.

REQUIREMENTS:

Elecsys Remote Monitoring Products (http://www.elecsyscorp.com/products/)

KEY FEATURES:

- Access to critical data anytime

- Real-time monitoring and control

- Mapping feature shows sites in alarm and in normal condition

- Displays historical data

- Graphical data display

- Fully configurable site and unit information

- Monitor sensors

- Fully hosted solution

CATHODIC PROTECTION FEATURES

- Full interruption capabilities

- View history

- Receive immediate text or email alerts for:

Power failure

DC Volts

DC Amps

Potential

DC Pipe to Soil

AC Pipe to Soil

Native Potential

DC Instant Off

AC Current Density

DC Current Density

SENSOR/TRANSDUCER FEATURES

- Receive instant email or text status notifications

- Fully configurable limits and thresholds can be set for each sensor

- Monitor any of the following:

4-20mA sensors

0-5V sensors

0-10V sensors

RAIL LUBRICATION FEATURES

- 24/7 monitoring and management of:

Top of rail friction On/Off pump control

Gauge face lubrication systems

Power status

Tank levels

Pump 'on' time/revolutions

Dispensed material volume

Wheel/axle count

Enable/disable pump operation

- View historical data