Firing chamber diagnosis

Our AI models, implemented with neural networks, independently evaluate the individual images of an optical firebox camera and extract important information, such as the position of the fire location or the length of the burnout zone (=burnout reserve). With this information, which is provided in digital form, it is possible to integrate the fire situation into the control concept. This allows continuous optimization of the combustion process. Burnout reserves are detected and adjustments can be made to grate speeds and material feed. This allows you to make the most of your existing grate area and achieve a smoother firing position.

You can access the data via an open interface, which we can also integrate directly into your control system. With this access to the history data, it is possible to draw conclusions about the fuel, among other things. Provided that performance values are included, other analyses such as correlations to fire position can also be performed.

Our combustion chamber diagnostics are impressive due to their comparatively low costs, as they are based on an optical camera instead of the significantly more expensive infrared cameras and can often make use of existing cameras.

Fire position measurement CONENGA Group

• Precise AI-based detection of fire position and burnout zone length

• Integration into existing control technology as well as availability of open interface

• Recognition of correlations of combustion parameters to fire position

• Optical camera with digital signal as low requirement

• Permanent 24/7 data acquisition as a basis for alarming

The fire position determination requires footage of the entire firebox from a fixed firebox camera with RTSP support. Operation with multiple firebox cameras is also possible. If this requirement is not met or if you wish to retrofit, we will be happy to support you in choosing the right camera for your system, using tried and tested industrial cameras.
The right IT infrastructure is also required for optimum and secure use of the data. We provide the required IT infrastructure and offer a cloud solution or a combination of cloud and on-premises solution depending on your requirements. We design the IT infrastructure in close coordination with your IT security rules and your IT department.

After delivery and commissioning of the combustion chamber camera (if not yet available) and the required IT infrastructure, an initial data set optimized for your combustion chamber is generated, which we use to train an optimal AI model for the specific characteristics of your fire position determination.
The trained AI model is then integrated. This includes data recording, data exchange (e.g. via MQTT) and optionally integration into your SCADA system and control. It goes without saying that we contribute our extensive expertise in grate firing and the corresponding process technology.
Once trial operation is complete, we work with your technicians to transfer the installed solution to regular operation.

Other services

Thanks to the secure digital connection, we can adapt, retrain and optimize the software on an ad hoc basis, for example to ensure the functionality of the fire position determination in the event of a component change, a furnace conversion or a fuel change.

Combination with products

For your optimum benefit from automatic firing position determination, we use our EPOC® Boiler or BCS® FLR firing rate controls. With AI-based fire position detection, we improve the existing process engineering controls and ensure permanently improved boiler operation