The Industrial Internet of Things (IIoT) offers huge opportunities - but brings with it the challenge of managing and making sense of mountains of new data. To overcome this issue, Teledyne FLIR has developed the FLIR Bridge.

The hub simplifies complex analysis by gathering the data from multiple condition monitoring sensors and FLIR thermal cameras, on the factory floor, into one place. As well as collecting data, it also allows users to create alarms and alerts to monitor systems.

Having the ability to monitor and analyse the status of important assets altogether allows industrial plants, factories and facilities to make better-informed decisions about operations.

By adding FLIR Bridge to a condition monitoring program, businesses can reduce maintenance costs and improve productivity, reliability and safety.

How does the FLIR Bridge work?

• Easy integration: FLIR Bridge can be easily integrated into existing asset monitoring systems using auto-discovery set up for FLIR thermal cameras.
• Collects data from most sensors: It collects data from multiple FLIR automation smart sensor cameras and third-party sensors into a single hub.
• Transforms data: Collects and analyses control sensor data by applying filters or mathematical equations before sending the information to third-party asset software. 
• Data safety: Reduces data volume to save bandwidth or create space for many sensor inputs. It also prevents data loss, even when connectivity is poor or intermittent, with a built-in buffer.
  Data analysis: Delivers data to multiple on-premises and cloud destinations for powerful and comprehensive analysis.
• Supports common industrial protocols: such as REST API, MQTT, Modbus, OPC UA and more
• Software integration: Connects FLIR sensors to OSIsoft PI, OPC/UA, Google Cloud Platform IoT, Azure IoTCore, Kafka, InfluxDB and more.

Features in detail

Data collection: there are dozens of data plugins available, covering measurements such as temperature, humdity, current and many more. Or FLIR Bridge operators create API and sample code to build new plugins or customise existing ones.

Data transformation:  Apply mathematical formula, summarise high-frequency data/ statistics, apply machine learning or image recognition on the Edge.