Recently, Nanjing Environmental Group achieved a key breakthrough in the field of smart environment—the successful delivery of the AI cleaning robot developed in collaboration, marking a new stage in the company’s transformation towards intelligence and technology, injecting strong momentum into the construction of a new ecological environment service while also providing a “Nanjing model” for innovative practices in the national smart environmental protection field.
AI Cleaning Robot Delivered Across Regions
Market Recognition Continues to Rise
On August 23, the “Nanhua Cleaning Robot S1” jointly developed by Nanjing Environmental Group and Kaiwo New Energy Vehicle Group officially completed its delivery for the Xining project in Qinghai. This robot integrates cutting-edge technologies such as artificial intelligence, the Internet of Things, and autonomous navigation, featuring multifunctionality including efficient cleaning, intelligent obstacle avoidance, and automatic charging, making it widely applicable in diverse scenarios such as urban roads, parks, and industrial parks, significantly enhancing operational efficiency and cleaning quality.
At the same time, the company also successfully delivered a batch of cleaning robots for testing in the Wuhan project, further expanding the breadth and depth of cross-regional services. To date, the joint development of cleaning robot orders has exceeded 10 million yuan, covering multiple key cities and environmental protection projects, demonstrating the market’s high recognition of this intelligent environmental solution.
Policy Empowers Industry Transformation
Full-Chain Model Releases Trillions of Opportunities
Currently, under the strong drive of national policies promoting the deep integration of intelligent networked technology into environmental service operations, the intelligent upgrade of environmental equipment and unmanned services have become core trends in industry development. With the advancement of the “dual carbon” goals, the environmental low-carbon business is extending from a single equipment supply to a full-chain model of “intelligent equipment + data services + carbon management consulting,” releasing trillions of development space for the environmental technology service market.
This strong alliance between Nanjing Environmental Group and Kaiwo New Energy Vehicle Group, by promoting the pilot application of low-speed unmanned cleaning vehicles in multiple scenarios, not only enhances the operational efficiency and safety of environmental operations, reduces labor costs, but also accumulates valuable practical data, laying a solid foundation for subsequent customized equipment development.
Deepening Innovative Practices
Supporting Waste-Free Cities and Smart City Construction
The successful delivery of the AI cleaning robot is not only an important achievement in the technological innovation upgrade of the environmental group but also a concrete practice of the company’s active response to the national strategies of “waste-free cities” and “smart cities.” Industry experts point out that with the deep integration of artificial intelligence and the environmental protection industry, equipment represented by intelligent robots is accelerating the reshaping of traditional environmental service models, pushing the industry to transition from “labor-intensive” to “technology-intensive.”
In the next step, the environmental group will continue to increase R&D investment, deepen industry-university-research collaborative efforts, and focus on promoting the intelligent and green transformation of environmental equipment such as curtain wall robots, inspection robots, sludge cleaning robots, welding film robots, and waste sorting robots; at the same time, further expand service boundaries, leading high-quality development of environmental services through technological innovation, striving to become a leading force in driving industry transformation and supporting the achievement of the “dual carbon” goals.
Nanjing Environmental Group Co., Ltd.WeChat ID: njurbaneco
Submitted by | Management Department
Reviewed by | Li Jie, Tao Jiang
Published by | Wu Zibo