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CloudGate Probe

 

DOWNLOAD DATASHEET CloudGate Probe NB-IoT HERE
DOWNLOAD DATASHEET CloudGate Probe LoRa HERE

The Ultimate Smart Metering companion

• Compact DIN rail mountable metering device.

• Monitor assets like utility meters remotely.

• Read data from devices via the built in Modbus (RTU), M-Bus (Wired), Digital or Analog Input.

• Control assets via 1x Digital Output (e.g. relay or actuator) or 2x Analog Outputs.

• LoRa (EU868, US915).

General description

CloudGate Probe is a compact DIN rail mountable metering device that can connect devices over Modbus (RS-485), M-bus, Digital & Analog Inputs to a LoRaWAN network. This permits to monitor assets and buildings remotely in a convenient way. As a low cost and compact device, the CloudGate Probe can read and transmit data of nearly any meter to any IoT platform. The device can also be used to change settings or the state of an actuator like an HVAC device, control valve, relay, etc. The CloudGate Probe LoRa is intended to be used in building use cases (i.e. smart building and building management platforms).

Use case: Smart Building & Assets monitoring

Use case: Smart Building

CloudGate Probe can be used as an aggregator that can receive and transmit data from, and to, a master device in a building. Reading multiple meters, via interfaces like Modbus, M-bus or pulse counters, controlling HVAC actuators like heat pumps, ventilation and heating systems and to a limited and safe extent adjusting parameters like temperature, ventilation power, lights, shading, etc.

Use case: Assets monitoring

CloudGate Probe can be built into HVAC assets to allow efficient pro-active maintenance. It also enables a service engineer to know what the situation is like before going on-site. This way service interventions can be scheduled more efficiently.

Combination with CLOUDGATE GATEWAY

In combination with a CloudGate Gateway, the CloudGate Probe LoRaWAN can be used as a slave device to capture the data of multiple assets and send this to a CloudGate Gateway. Here local, or Edge, processing can be applied in such a way that only the most essential part of information is filtered and transferred to a centralized server application that can run on a myriad of Cloud platforms.