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绿色动力携手固高科技 提升垃圾焚烧项目智能化水平
601330Dynagreen(601330) 证券时报网·2025-04-06 10:31

Core Viewpoint - The strategic cooperation agreement between Green Power and Gohigh Technology aims to enhance the application of technology in waste management, promoting modernization and the growth of emerging industries in line with national carbon reduction goals [1][2]. Group 1: Strategic Cooperation Details - The collaboration will focus on three main areas: technology research and development for industrial modernization, project incubation in the environmental sector, and deep business cooperation [2][3]. - In technology R&D, both companies will explore intelligent inspection robots, drones, smart park platform construction, and carbon reduction technologies to upgrade the waste incineration industry [1][2]. - The project incubation will utilize a "joint laboratory + industrial pilot platform" approach to accelerate the verification of new environmental technologies and shorten the industrialization cycle [2]. Group 2: Company Performance and Market Position - In 2024, Green Power reported an annual revenue of 3.399 billion yuan, a decrease of 14.08% year-on-year, primarily due to reduced PPP construction services [2]. - The waste treatment segment achieved revenue of 3.361 billion yuan, reflecting a year-on-year growth of 7.04% [2]. - As of December 31, 2024, the company operated 37 projects in the municipal waste incineration sector, with a waste processing capacity of 40,300 tons per day and an installed capacity of 857 MW, positioning it among the industry leaders [2]. Group 3: Technological Innovations and Collaborations - Green Power is actively pursuing technological innovation and expanding research cooperation channels, including partnerships with Alibaba Cloud for AI applications in waste incineration [3]. - Collaborations with institutions like China University of Mining and Technology focus on developing technologies for robot cleaning and confined space operations [3]. - The cooperation with Gohigh Technology is expected to enhance the operational intelligence of waste incineration projects, leading to improved efficiency [3].