Core Viewpoint - The development of intelligent sanitation vehicles is essential for the construction of smart cities, with Suzhou leading the way in promoting the application of autonomous sanitation vehicles in various operational scenarios [1][4]. Group 1: Industry Development - The Chinese government has consistently supported the development of unmanned sanitation vehicles through various policies, including the 2017 AI development plan and the 2021 "14th Five-Year Plan" [4]. - The potential market size for unmanned sanitation services in China could reach 280 billion yuan by 2025, with unmanned cleaning vehicles accounting for over 30% of the market demand [8]. Group 2: Company Initiatives - Suzhou Jinlong has actively responded to the smart sanitation development strategy in Suzhou by launching advanced unmanned sanitation vehicle products that integrate innovative technologies such as 5G, AI, and machine vision [4][5]. - The operational efficiency of Suzhou Jinlong's unmanned cleaning vehicles has been impressive, with a completion rate of approximately 90% for basic cleaning tasks and a maximum operational efficiency of 7,000 to 10,000 square meters per hour for small unmanned cleaning vehicles [4][6]. Group 3: Technological Advancements - The low-speed unmanned cleaning vehicles in Suzhou are equipped with advanced navigation systems and AI algorithms, achieving a 60% increase in cleaning efficiency compared to traditional methods [6][7]. - The 6-ton automatic cleaning vehicle has completed over 2,000 kilometers of autonomous driving since its trial operation began in October 2024, showcasing its adaptability and reliability in various weather conditions [7]. Group 4: Market Impact - The introduction of unmanned sanitation vehicles is expected to alleviate the labor intensity and safety risks faced by sanitation workers, contributing to a more efficient and environmentally friendly urban management system [8]. - Suzhou Jinlong's unmanned sanitation vehicles are being integrated into various operational scenarios, from enclosed park areas to busy open roads, enhancing urban management capabilities [8].