Group 1 - The future low-altitude network will feature a variety of aircraft types, small takeoff and landing intervals, and high spatial density, necessitating new traffic regulations [1] - Experts emphasize the urgent need to develop a new service paradigm that integrates "air traffic management reporting systems" with "road rule systems" through new data and algorithms [1] - Gaode's digital foundation aims to create a comprehensive urban three-dimensional traffic system by integrating ground and low-altitude traffic [1] Group 2 - Jiangsu Transportation Holding's "Cloud Network Digital Map" effectively addresses the fragmentation issues in smart highway construction, enhancing digital capabilities and laying a foundation for future large model applications [2] - The development of low-altitude space requires solutions for traffic rules, dynamic route planning, intelligent scheduling of takeoff and landing points, and public safety coordination [2] - AI is driving the deep integration of low-altitude economy into educational, cultural, and tourism scenarios, transitioning the industry from demonstration to industrialization [2]

Core Insights - Tencent Maps launched the GAIA platform, marking a strategic shift from "digital infrastructure" to "intelligent growth engine" [2] - The platform integrates Tencent's models to provide a comprehensive AI productivity base, facilitating precise business decisions across industries [2][3] - The role of map products is evolving from static tools to dynamic engines that support perception, cognition, and decision-making in the digital world [2] Industry Applications - Tencent Maps aims to provide a dynamic digital foundation for real-time data integration, enhancing user experience in travel services [3] - The platform supports various sectors, including retail, tourism, and logistics, by enabling intelligent decision-making and performance growth [3] - Daily processing of over 100 billion location data points serves 1 billion users, creating a data loop that enhances application across multiple fields [3] Collaborative Success Stories - McDonald's China reported improved site selection efficiency and accurate revenue forecasting through collaboration with Tencent Maps [4] - Xiaohongshu leveraged Tencent Maps for overseas market expansion, integrating "map + social" features to create a seamless online-to-offline experience [5] - Companies like Qiji Mobility and Wenyan Zhixing shared insights on optimizing travel experiences and the importance of high-precision maps for autonomous vehicles [5]

7月28日，莫干山地信实验室联合中国可持续发展研究会时空信息专委会、全国城市可持续发展标准化 技术委员会，在浙江德清召开第二届时空信息赋能数字生态文明建设学术研讨会。来自全国的百余位专 家学者，以全球视野聚焦区域和具体实践，探讨了时空信息和时空智能技术在数字生态文明建设和可持 续发展中的前沿理论发展、技术创新突破，分享了最新研究成果及典型案例。 会议还聚焦"面向数字生态文明的自然资源'一张图'建设""国土空间规划的进展与挑战""实景三维赋能数 字经济"三个专题开设分会场，22位专家学者和企业代表作专题报告。（记者 周飞飞） 本次研讨会以"全球挑战与区域实践"为主题，旨在切实推动数字化与绿色化的深度融合、推动数字生态 文明建设与高质量可持续发展。大会特邀中国气候变化事务特使、联合国前副秘书长刘振民，中国工程 院院士、莫干山地信实验室主任陈军，自然资源部总规划师张兵，全国城市可持续发展标准化技术委员 会副主任委员汤万金作主旨报告，内容涉及2030可持续发展议程的落实进展与挑战、"一张图"赋能数字 生态文明建设、"多规合一"改革与可持续发展等内容。 ...

Core Viewpoint - Yiren Technology has completed a multi-million Pre-A round financing, focusing on the commercial closed-loop of spatiotemporal data collection, processing, and application, positioning itself as a leading spatiotemporal intelligent data service provider in China [4][5]. Group 1: Company Overview - Yiren Technology is the first company in China to achieve a commercial closed-loop for spatiotemporal data collection, large model data processing, and scenario application [4]. - The company provides spatiotemporal intelligent products and services for industries such as geographic information, autonomous driving, embodied intelligence, and low-altitude economy [4][5]. - Yiren Technology is recognized as a national high-tech enterprise and a "little giant" enterprise in Shanghai [4]. Group 2: Market Context - Spatiotemporal data is a core data form in modern geographic information science, IoT, and AI, and is essential for emerging industries like AI, autonomous driving, low-altitude economy, and smart cities [4]. - The market for spatiotemporal data is experiencing explosive demand, especially as it is integrated into the national "new infrastructure" initiative [4]. Group 3: Challenges in the Market - The market faces challenges such as a lack of stable and effective data suppliers, as major data holders like car manufacturers and map companies do not engage in data trading [5]. - Available spatiotemporal data is often static and historical, failing to meet the dynamic updating needs of scenarios like autonomous driving and disaster response [5]. - The absence of unified format standards for multi-source heterogeneous data increases processing costs and technical difficulties [5]. Group 4: Business Model and Technology - Yiren Technology has built a comprehensive spatiotemporal data perception network that includes intelligent connected vehicles, electric bicycles, low-altitude aircraft, and various sensing devices across over 300 cities in China [8]. - The company has developed its own spatiotemporal intelligent model, which integrates heterogeneous data and enables applications such as traffic flow prediction and environmental monitoring [8]. - Yiren Technology offers four main product and service categories: traffic information intelligence, autonomous driving data services, low-altitude economy data services, and embodied intelligence data services [8]. Group 5: Partnerships and Future Plans - Yiren Technology collaborates with major internet companies like Tencent, Alibaba, and Baidu, as well as automotive manufacturers and firms in geographic information and smart transportation [11]. - The company plans to partner with the BeiDou satellite navigation system to enhance its spatiotemporal data perception capabilities [11]. - Future applications of spatiotemporal intelligent technology are expected to expand into finance, insurance, and weather sectors [11].