为破解城市交通拥堵痛点，神思电子紧扣"数字济南"战略与数智警务体系建设要求，聚焦主干道与快速 路拥堵治理，构建"多维感知—动态建模—自适应控制"的数智治理新范式。 通过整合多源大数据，优化交通感知网与信号控制体系，实现"拥堵自动感知、事故自动发现、信号智 能优化、诱导精准服务"，助力济南打造全国领先的智能信控示范体系和现代化数智交管标杆，切实提 升市民出行体验。 近日，神思电子技术股份有限公司（以下简称"神思电子"）在济南数字化建设领域捷报频传，中标领域 覆盖城市安全、数据要素、智慧交通、低空经济领域。公司以硬核技术实力深度参与"数字济南"战略落 地，成为城市数字化转型的核心合作伙伴。 深耕城市安全领域构建数智交管新生态 近年来，神思电子(300479)在"一体两翼"战略的引领下，依托深厚的行业资源积淀与领先的人工智能技 术优势，将AI技术赋能千行百业，其中城市智慧更新领域是公司业务着力点。 公司通过全链条技术赋能城市治理，依托物联网感知层建设、异构数据融合分析及AI决策中枢构建， 实现从基础设施智能化到城市治理精细化的跃升。 在城市安全与应急救援建设领域，神思电子携手浪潮智慧城市科技有限公司，基于济南市现有 ...

Group 1 - The National Bureau of Statistics has announced the first batch of pilot projects for trusted data space innovation, with Nanjing Steel Co., Ltd. selected for its project "Trusted Data Space for Steel Industry Chain" [1] - Trusted data space is a data circulation infrastructure that links multiple parties based on consensus rules to achieve data resource sharing [1] - The pilot aims to select benchmark projects with industry typicality and technological foresight to provide experience for building a unified national data factor market [1] Group 2 - The selected project focuses on key development goals such as collaborative optimization of the steel industry chain, deep integration of digital technology with the real economy, and green collaborative development [1] - The project emphasizes five core scenarios: supply chain collaboration, intelligent manufacturing and production optimization, market analysis and forecasting, R&D quality and sustainable development, and customer and value-added services [1] - The project aims to create a trusted data space system that aligns with the development of the steel industry chain, fostering multi-party data integration and value co-creation [1] Group 3 - In recent years, Nanjing Steel has pursued a transformation path of "digitalizing all businesses and businessizing all digital operations," leveraging "data factors + industrial internet + artificial intelligence" as core engines [2] - The company has established a "Trusted Data Space Alliance for the Steel Industry" with upstream and downstream partners, launching an initiative to build high-quality industrial data sets [2] - The initiative aims to facilitate efficient data circulation and application across the industry chain, positioning the company as a pioneer in extracting value from industry data factors [2]