Preventative monitoring of a garbage bunker with an infrared camera end-to-end system
Almost 1 billion tonnes of waste is generated worldwide each year, which is then disposed of and recycled in many countries via a comprehensive system of waste recycling plants. Heat is often produced in the refuse bunkers, culminating in smouldering nests, which can ultimately cause a devastating fire. An early fire detection system using infrared cameras can promptly detect and remove the hazard.
„Studies show that waste generation is on the rise worldwide. These days waste disposal has to be efficient and resource-friendly. To ensure that this is put into effect in waste incineration plants, we are on hand as a partner with our non-contact infrared measurement technology.“
Luc Lagorce, Sales Director Europe
Delivery vehicles transport the waste to the recycling plants and tip the material into a refuse bunker. The bunkers have different storage capacities, for example, the plant in Bonn is 14,000 cubic metres holding roughly 7,000 tonnes of waste. Waste storage produces heat, often leading to the formation of smouldering nests. A gripper is used for the automated transport of the waste to the charging hopper, creating heat displacement and physical effects, which may cause a fire in the refuse bunker. As a result, not only is the plant decommissioned for a few hours, but costly cleanup operations or rehabilitation must be carried out as well.
Infrared cameras are able to measure temperature differences and absolute temperatures very precisely. The waste in the garbage bunker can be easily observed 24/7 by integrating the cameras and accessories. This thereby ensures a prompt response to potential hazards. When combined with other detection systems, e.g. traditional smoke detectors, sprinkler systems can be automatically deployed.
The ultimate goal is to monitor the entire bunker surface using infrared cameras. The size of the bunker determines the number of cameras used.
Recommended solution for less than 8,000 euros!
Installation diagram for continual monitoring via the process interface
Click here for an enlarged image.
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