Smart cities urgently need multi-party collaboration to strengthen digital supervision
Source: Economic Reference Report
With the rapid development of technology, smart cities have become an important way to improve urban management efficiency and enhance residents' quality of life. Recently, reporters interviewed several experts, scholars, and relevant business leaders in the field of smart cities, and conducted in-depth discussions on how to strengthen digital supervision in the process of smart city construction. Industry experts believe that building a unified data platform to achieve data sharing and interoperability is the cornerstone of smart city regulation; At the same time, the digital supervision of smart cities requires joint efforts from multiple parties such as the government, enterprises, and research institutions.
Data platform integration and sharing: building the cornerstone of smart city supervision
It is essential to achieve digital supervision of smart cities and promote the construction of a unified data platform, so as to integrate data resources and enable data sharing and interoperability.
He Kejia, Vice Chairman of the China Urban Development Research Association of the Chinese Academy of Social Sciences, believes that in carrying out digital supervision of smart cities, a unified data platform should be established to integrate various urban data resources and achieve data sharing and interoperability. Through big data analysis, provide scientific basis for urban management, improve decision-making efficiency and accuracy; Based on digital twin technology, establish a virtual model of the city to achieve bidirectional interaction and real-time mapping between physical and virtual cities. Starting from the most basic static description, gradually integrate dynamic data with spatiotemporal models and mechanism models, and ultimately achieve a state of virtual real symbiosis, making digital twin cities an intelligent assistant for urban operation; Integrate big data resources, including the Internet of Things (IoT), Geographic Information Systems (GIS), remote sensing images, and other multi-source data, use AI algorithms for deep analysis, and provide accurate decision support for urban management; Deploy sensors at key nodes in the city using IoT technology to achieve real-time monitoring of traffic, environment, safety, and other aspects.
Geng Yibin, General Manager of Product Marketing at Lenovo's New Horizon, shared Lenovo's exploration in the field of smart parks from a practical perspective. She mentioned that by using domain wide models to process massive amounts of heterogeneous data from multiple sources in the park, combined with algorithms such as deep learning, decision support can be provided for park managers. This way of data integration and utilization is a vivid manifestation of digital supervision in smart cities at the micro level.
Big model technology and intelligent analysis: empowering new heights of smart city regulation
Industry insiders point out that the application of big models in various fields of urban governance is gradually deepening, and digital supervision is the key to ensuring the smooth operation of these intelligent applications.
Liu Zhiyuan, Associate Professor and Deputy Director of the Basic Model Research Center of the Department of Computer Science and Technology at Tsinghua University, pointed out that artificial intelligence technology represented by large models is essentially a general method for automatically learning knowledge from large-scale data, and is a typical data-driven technology route. The scale rule of big models indicates that high-quality data determines the capability of big models, and there is as much intelligence as there is data. Based on the characteristics of data-driven and general intelligence of big models, accelerating the development of smart cities requires efforts from two aspects: improving data governance level, breaking down data island barriers, and establishing city big models and forming data model twins.
Liu Zhiyuan believes that the level of urban big data governance is the foundation for using big models to promote urban governance and accelerate the construction of smart cities. For example, in the past year, fields with high levels of data governance such as finance and justice have been the priority areas for the application and landing of big models. We should seize the general characteristics of big model technology, such as the general neural network architecture, general learning methods, and general intelligence capabilities, and develop a unified urban big model platform that can customize 1+N urban big models for intelligent needs in various fields. 1 is the city base big model, and N is the city scene big model customized with unique data in various fields. We should leverage the perception and processing capabilities of urban big models for urban big data, form urban data model twins, and realize the collaborative empowerment of smart city needs by big models.
Zhizhen, Chairman of Zhonggong Internet (Beijing) Technology Group Co., Ltd., emphasized the deep application of big models in various fields of urban governance, such as intelligent transportation, smart healthcare, and smart education. He believes that the intelligent development in these fields will greatly enhance the efficiency and level of urban governance, and digital supervision is the key to ensuring the smooth operation of these intelligent applications.
Regulatory Construction and Technical Ethics: Ensuring the Healthy Development of Smart City Supervision
In the future, experts suggest that in the process of building smart cities, investment in infrastructure such as 5G and the Internet of Things should be strengthened, a unified data sharing platform should be established, the legal and regulatory system should be improved, and data security and privacy protection mechanisms should be established.
Wang Dacheng, director of the Smart City Engineering Department of the Aerospace Information Innovation Research Institute of the Chinese Academy of Sciences, pointed out that China has entered the stage of global intelligent urban informatization, but future development still needs policy support and standard formulation. He suggested that investment in 5G, IoT, and cloud computing infrastructure should continue to be strengthened to promote the application of artificial intelligence technology in urban management; Establish a unified data sharing platform to achieve cross departmental and cross regional data exchange and sharing, breaking down information silos; Further promote the construction of intelligent transportation, intelligent environmental protection, intelligent security and other fields, enhance the refinement and intelligence level of urban management, and improve the intelligence level of public services, such as smart healthcare (such as remote diagnosis and treatment), smart education (such as online education platforms), and smart communities (such as smart community management systems), to provide convenient and efficient services for citizens.
Wang Dacheng summarized that in the rapid development of smart city technology in the future, he hopes that relevant institutions can promote the research and application of smart city technology through government guidance, enterprise participation, a series of policies and financial support, and formulate relevant technical standards and specifications to ensure the interconnection and compatibility of various types of smart city applications. Especially in the eight core areas, including intelligent services, intelligent data projects, cloud computing, data networking, digital science, data construction, digital living environment, etc., guidance will be strengthened, and the core areas will to some extent help the construction and development of smart cities.
Zhizhen suggests strengthening digital supervision from five aspects: first, improving the construction of the legal and regulatory system, and formulating standards and specifications for the construction and operation of smart cities; Secondly, establish data security and privacy protection mechanisms to ensure the security and controllability of urban data; Thirdly, build an intelligent supervision platform and use technologies such as artificial intelligence and large-scale models to achieve precise supervision; Fourthly, strengthen cross departmental collaborative supervision and establish a unified mechanism for sharing regulatory information; Fifth, attach importance to ethical supervision and ensure the rational application of artificial intelligence technology in urban governance.
In summary, the digital supervision of smart cities requires joint efforts from multiple parties such as the government, enterprises, and research institutions. Through the integration and sharing of data platforms, the application of big model technology and intelligent analysis, as well as the construction of regulations and ethical guarantees, a more intelligent, efficient, safe, and sustainable future of smart cities can be built. (Reporter Sun Guangjian)