In waste incineration facilities, stabilizing combustion is important to comply with emission standards and generate efficient electricity. To this end, it is important to uniformize the garbage content. Previously, skilled operators had to constantly monitor the condition of garbage from the top of the pit where it was collected (where it was temporarily stored and placed) and place it in the incinerator by crane in a timely manner.
The Environmental Company has therefore developed an AI system using deep learning that can replace this "eye of an expert driver". The system uses cameras to capture the conditions in the pit, AI to identify the state of waste agitation and other factors, and an advanced control device to determine the crane operation in the pit. The system can even identify the degree to which trash bags are torn, which is difficult with conventional automatic cranes, and it is now possible to automatically identify trash suitable for combustion and to automatically place it into the furnace, as well as to identify special trash (waste that can adversely affect equipment and combustion if it is put into the furnace in large quantities at once) and take appropriate action. The introduction of this automated crane system equipped with garbage identification AI has made it possible to automate 90% of the operation time. We will continue to develop operation systems that utilize the latest technologies, including AI, with the aim of becoming a next-generation waste disposal facility that does not depend on human experience or skill.
*This technology was jointly developed by us and "Ridge-i" (patent pending)
