Core Insights - The "Sanitation Embodied Intelligent Body" project developed by Jiangsu Zhonghuan Cloud Control IoT Technology Co., Ltd. has been implemented in Lianyungang City, enhancing traditional sanitation operations into an intelligent network capable of autonomous perception, decision-making, and collaboration [1][2] Group 1: Project Overview - The project utilizes a four-dimensional operational model of "people-vehicles-tasks-services" to upgrade traditional smart sanitation [1] - The initiative is a joint venture between Jiangsu Haizhou Development Group Co., Ltd. and Shanghai Helichuan Technology Co., Ltd., leveraging over a decade of expertise in urban construction and public services [1] - The project features an integrated "cloud-edge-end" architecture, supported by a city data platform and IoT perception network established by Haifa Group [1] Group 2: Technology and Functionality - Sanitation workers equipped with smart wristbands can transmit real-time data on their physical condition, location, and task progress, allowing the system to optimize their work routes automatically [1] - Unmanned cleaning vehicles and drones share real-time data on road conditions and waste distribution, enabling the system to refresh operational strategies at a second-level frequency [1] - AI algorithms decompose urban sanitation assessment indicators into executable task packages, tailored to individual workers and vehicles [1] Group 3: Communication Protocol - The sanitation intelligent network employs the RVP (Real-Virtual Agents Network Protocol) communication protocol recently released by Helichuan Technology [2] - The CEO of Helichuan Technology stated that the project validates the stability of the RVP protocol in low-speed vehicles and high-density human-machine collaboration scenarios, paving the way for applications in more complex environments such as irrigation, community services, and elder care [2]