The scientific and technological achievements of the Capital Normal University are incorporated into Beijing Innovation Green Technology Recommendation Catalog

Recently, the patent "a" CD -intelligent identification technology "led by the Logistics Security Department of the Capital Normal University has won national memories, and included in the" Beijing Innovation -type green technology (solid waste reduction and resource -based field, plastic pollution prevention and control , Soil pollution control and preventing food waste) Recommended Catalog (2022 Edition). It is reported that incorporating the recommendation catalog technology will support the implementation of the national science and technology support carbon peak carbon neutralization, implement the green Beijing strategy, and promote green technology innovation to support the realization of carbon peak carbon neutrality and target vision. The approved project will be supported by the relevant policies of Beijing Green Technology Innovation. The selection of this patented technology marks new progress in the construction of the school's green schools. It is an important part of the school's "smart logistics" construction work. example.

It is understood that the "Beijing Innovative Green Technology (Solid waste reduction and resource field, plastic pollution prevention, soil pollution control, prevent food waste) Recommended Catalog (2022 Edition)" The technical collection work carried out by the technical innovation system, in 2021, was widely collected in the city's universities. The school's technical transfer center actively organized relevant colleges and units to declare. The Li Yongxin team of Li Yongxin, the Intelligent Office of the Logistics Security Department and Beijing Bonard Technology Co., Ltd., and a practical new patent approved by the Beijing Bonard Technology Co., Ltd. to provide favorable starting points for the promotion and application of the technical achievements. The approved patent is mainly based on big data technology. It uses deep learning methods to automatically identify the remaining amount of the dishes. It can be given to the dining staff through points to achieve the confirmation of the disk behavior, improving management efficiency, and promoting frugal behavior habits to support Successfully, effectively promote the "CD" action and reduce waste of resources. (Correspondent: Junyu of Capital Normal University)

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