Empowering a Chinese-Characteristic Waste Classification Model with Mid-End Intelligent Sorting
Given China's escalating municipal solid waste (MSW) generation and the limitations of current classification schemes, this study proposes a novel waste classification model centered on mid-end intelligent sorting technology. The approach integrates targeted pretreatment with multimodal visual recognition and robotic grasping to efficiently sort complex household waste, while compact equipment innovations adapt to the low-value characteristics of recyclables. An engineering demonstration case shows that the technology can effectively recover low-value recyclables comprising 15%–30% of mixed MSW. If applied at 5% of a case city's waste transfer stations, approximately 5×10^4 t of recyclables could be sorted annually. Preliminary estimates indicate a 20% return on investment for operators at an 80 t·d−1 scale. The study demonstrates that mid-end intelligent sorting offers a technically feasible and economically sustainable solution to reduce fiscal expenditure on waste classification while improving efficiency.