Industrial Internet of Things (IIoT) System Architecture
The IntelliView Vision System or IVS is deployed in an IIoT architecture, which allows distribution of processing power at different locations of a client’s network (e.g. edge computing, cloud computing). A major advantage of this infrastructure type is the ability to work with a site’s resource availability and constraints, such as limited power or bandwidth, to maintain optimal video processing and critical data communication conditions. Its scalability in hardware and software offers greater coverage and compatibility with existing client networks, such as SCADA.
The Function of the Main Components of the IVS
1. DCAM™ and Other Sensors Onsite
The DCAM is installed onsite to monitor a scene 24/7. Coverage can be expanded with additional DCAMs, other imaging sensors (e.g. PTZ cameras) and non-imaging sensors (e.g. weather station, speed radar, siren, wildlife deterrents). Data and control of multiple DCAMs and peripherals per site are managed with the Site Aggregation Module (SAM).
2. Built-in Image Processing Engine
Live thermal and color video feeds from the DCAM are processed in real time by the onboard analytic software technologies. The system memorizes the background and looks for changes in the scene. Any change is evaluated automatically. When an event (e.g. leak or human intrusion) is qualified based on set detection criteria, it is reported within seconds to the System Console (SC), which may be located within the premises or offsite (e.g. monitoring/control station). An event video is sent along with the notification. Alerts can also be configured to be delivered to a number of email addresses.
3. System Console at the Monitoring/Control Station
The new event notification and video are received in the SC and reviewed by monitoring personnel to visually verify the event and take appropriate action. The SC also has the ability to further evaluate an event using supervised machine learning, employing deep neural nets akin to the systems used in self-driving cars. The incorporation of adaptive artificial intelligence trained on pre-classified data adds a layer of improved recognition and processing of detected events to the analytics suite. Analytic rules can also be configured rules to activate/enable or deactivate/disable devices automatically.
Liquid Leak Detection – Petrochemical Industry (Oil, Brine, Water, Acid, other Chemicals) at above-ground piping facilities, tank farms
Liquid Leak Detection – Mining Industry (Cyanide, Acids, Processed Water, other Chemicals)
Industrial Site, Facility and Plant Security (Oil, Gas, Chemical, Utility, Power/Sub Stations, Mining, Construction)
Process Control (Flare Stack Flame Failure and Re-ignition, Temperature Change)
DIO Device Activation and Control