2026年1月4日 ，工业和信息化部2025年跨行业跨领域工业互联网平台动态评价结果正式公示，长 虹工业互联网双跨平台（以下简称"长虹双跨平台"）排名再次提升6位，上升幅度居全国第三、西部 第一，自2023年入选国家级"双跨"平台以来累计跃升17位，创下四川省工业互联网在该领域的历史 最高排位。这一成绩不仅巩固了绵阳在省内工业互联网平台的领先地位，更以"科技城速度"彰显了 绵阳作为四川制造业数字化转型核心引擎的强劲势能，加速构建"智改数转"核心基础设施，为全省 建设制造强省、数字强省树立了标杆。 " 长虹双跨平台 " 源于长虹六十余年深耕制造业的厚度积累，正是 "源于制造，更懂制造"，铸就了 平台赋能产业的独特优势 。2018年，平台依托工信部《四川电子信息产业集聚区工业互联网平台试 验测试》项目正式起航，实现了从企业内生变革到开放赋能的关键跨越。在其成长历程中，始终贯穿 着"技术研发"与"业务实践"的双轮驱动：一方面，云计算与大数据研究中心持续进行技术攻坚与迭 代；另一方面，各产业单元在真实场景中深度应用与反馈，共同驱动平台能力进化。正是在此协同 下，平台构建起"智能化、绿色化、融合化"三位一体的服务矩阵， ...

2026年1月4日，工业和信息化部2025年跨行业跨领域工业互联网平台动态评价结果正式公示，长虹工业 互联网双跨平台(以下简称"长虹双跨平台")排名再次提升6位，上升幅度居全国第三、西部第一，自 2023年入选国家级"双跨"平台以来累计跃升17位，创下四川省工业互联网在该领域的历史最高排位。这 一成绩不仅巩固了绵阳在省内工业互联网平台的领先地位，更以"科技城速度"彰显了绵阳作为四川制造 业数字化转型核心引擎的强劲势能，加速构建"智改数转"核心基础设施，为全省建设制造强省、数字强 省树立了标杆。 "长虹双跨平台"源于长虹六十余年深耕制造业的厚度积累，正是 "源于制造，更懂制造"，铸就了平台 赋能产业的独特优势。2018年，平台依托工信部《四川电子信息产业集聚区工业互联网平台试验测试》 项目正式起航，实现了从企业内生变革到开放赋能的关键跨越。在其成长历程中，始终贯穿着"技术研 发"与"业务实践"的双轮驱动：一方面，云计算与大数据研究中心持续进行技术攻坚与迭代；另一方 面，各产业单元在真实场景中深度应用与反馈，共同驱动平台能力进化。正是在此协同下，平台构建 起"智能化、绿色化、融合化"三位一体的服务矩阵，切实推动制 ...

证券日报网12月19日讯远光软件（002063）在12月18日回答调研者提问时表示，公司不断推进大数据业 务深化，当前聚焦数据治理、数据场景服务、工具提供及智能场景，未来潜力在于激活客户数据要素价 值。电网数据真实、全面，能反映经济运行情况，可用于多种场景。公司正积极探索与客户更多的合作 模式，未来将数据作为生产要素赋能更多领域，构建新增长极。 ...

在具体管理上，要坚持合理布局、依法备案、分类服务、资源共享、保障安全。省自然资源主管部 门建立全省统一的卫星导航定位基准服务系统，将整合142座省级基准站和各行业零散站点，让分散资 源形成合力，实现数据统筹共享，避免重复和无序建设。 目前，基准站可提供测绘基准服务和其他社会服务两类，测绘基准服务由省自然资源主管部门负责 提供，其他单位只能提供其他社会服务。基准站建设单位可以委托具备相应测绘资质的单位开展相关建 设和运行维护。承担基准站建设和提供测绘基准服务的单位应当具备大地测量甲级测绘资质，提供其他 社会服务的运行维护单位应当具备大地测量乙级以上测绘资质。 基准站建设实行"先备案，后建设"，基准站建设、运维及数据使用单位需建立数据安全制度，通过 技术、保密等措施实施全流程安全保护。此外，管理办法还提出可以依据国家规定开展数据产权登记、 授权运营、流通交易等活动，为基准站数据的市场化应用预留了空间，为未来释放数据要素价值提供了 依据。 卫星导航定位基准站是支撑高精度定位服务的关键基础设施，24小时不间断捕捉卫星传来的导航信 号。例如，我们开车导航时，由于卫星信号经大气层等物质干扰易产生偏差，而基准站则会凭借预先 ...

Core Insights - Jiangsu Province's Data Bureau recently announced the results of the major scene project selection for digital society, with Qichacha recognized for its "one-stop enterprise credit information comprehensive service application scenario" and awarded "Annual Excellent Development Unit" [1][2] - This recognition highlights Qichacha's innovative practices in digital credit information services, contributing to an improved business environment and supporting high-quality development of the real economy [1][3] Group 1: Project Recognition and Impact - Qichacha's project has demonstrated a significant impact in key areas, such as the "industrial chain" query function, which integrates dynamic data from hundreds of industrial chains and thousands of sub-sectors, resulting in a 300% improvement in efficiency for a coastal economic development zone [2] - The third-party risk screening system has enabled a leading domestic automotive group to identify risks in over 5,000 supply chain enterprises annually, achieving a risk identification accuracy rate of 98.7% and saving over 1 million yuan in audit costs [2] - The dynamic credit assessment system has reduced the credit approval cycle for small and micro enterprises from 15 days to 72 hours, with a 30% decrease in bad debt rates [2] Group 2: Technological and Social Contributions - Qichacha has emphasized a technology-for-good philosophy, providing free commercial data services to 50,000 enterprises during the pandemic to support their recovery [3] - The company has collaborated with law enforcement to build anti-fraud models, aiding in the resolution of significant cross-border fraud cases [3] - Qichacha's project exemplifies the innovative integration of public and commercial data, fostering a collaborative ecosystem among government, enterprises, and banks, and establishing replicable technical standards [3]

Group 1: AI Industry Development Plan - The "Artificial Intelligence+" city action plan aims to gather over 3,000 AI companies in Suzhou by the end of 2026, with an annual growth rate of over 20% in the core scale of the smart economy [1] - The plan includes the establishment of 20 municipal AI industrial parks and the cultivation of 350 vertical large models and 200 typical application scenarios, with a total intelligent computing scale reaching 17,000 PFLOPS by 2026 [1] - A fund cluster exceeding 50 billion yuan will be formed to support development, with over 120 AI service algorithms registered nationally and the establishment of 5 national open-source platforms [1] Group 2: Data Resource Utilization - Suzhou will enhance the value of data elements by promoting the open sharing of public data and incentivizing enterprise data sharing, aiming to create a multi-layered data resource supply system [2] - By the end of 2026, the city plans to have over 6,000 public data open directories and develop 300 high-quality industry data sets and corpora [2] - The focus will be on building high-quality data sets in manufacturing, leveraging market application scenarios [2] Group 3: Talent Acquisition and Development - By 2026, Suzhou aims to cultivate 240 leading talents in the AI field and establish 15 various talent training platforms and bases [4] - The city will enhance mechanisms for talent introduction, training, evaluation, and incentives, promoting collaboration with top institutions to attract high-level talents [4][5] - Efforts will be made to align educational institutions with industry needs, fostering interdisciplinary training and international cooperation [5] Group 4: Core Technology Advancement - Suzhou plans to establish 5 provincial-level key laboratories in AI by 2026, focusing on foundational research in AI and supporting the development of intelligent medical devices [3] - The city aims to achieve 50 new key core technology breakthroughs and accumulate over 13,000 high-value patents in the AI sector [3] - Emphasis will be placed on encouraging enterprises to take the lead in innovation and undertake significant national and provincial projects [3] Group 5: Industry Strengthening and Innovation - Suzhou will support the cultivation of 50 intelligent native enterprises and 15 unicorn companies in the AI sector by 2026, focusing on emerging business models [6] - The city aims to develop 490 provincial-level specialized and innovative enterprises and 1,200 high-tech enterprises in AI by 2026 [6] - Efforts will be made to attract leading enterprises to Suzhou through capital investment and scenario opening, enhancing industrial clustering effects [6]

Group 1 - Jining City has implemented ten major projects for digital industrialization and eight actions for industrial digitization, establishing a digital economy development system [1] - The revenue growth rate of the new generation information technology industry in Jining reached 22% from January to July this year [1] - Jining is leveraging the construction of a comprehensive pilot zone for data elements to enhance the value of data, with 130 high-quality data sets created and 10 recognized at the provincial level [1] Group 2 - The city is advancing integrated reforms in digital government construction, enhancing the efficiency of government operations, enterprise services, and public services through a unified online platform [2] - The deployment of AI technologies has improved service efficiency, resulting in the reduction of 162,000 materials required for various processes [2] - The efficiency of enterprise services has significantly improved, with a 90% reduction in the number of steps for business processes, an 82% reduction in required materials, and an 81% reduction in processing time [2]

Core Insights - Wuhan's ecological environment bureau has registered air quality daily data on the public data resource platform, marking a significant step in public data management and resource activation in the city [1][5]. Group 1: Data Registration and Accessibility - The registration of public data resources acts like an "ID card" for data, facilitating data circulation and ensuring clarity on data sources and usage [5]. - The registered dataset includes real-time monitoring information from 21 national and provincial monitoring stations, covering key pollutants such as PM2.5, PM10, sulfur dioxide, nitrogen dioxide, as well as the Air Quality Index (AQI) and air quality types [5][6]. - The initiative aims to resolve the difficulties faced by environmental enterprises and research institutions in accessing authoritative data [5]. Group 2: Impact on Industry and Technology - High-quality environmental monitoring data is essential for developing industry models, as noted by a technology executive from a local company [5]. - The unified registration and authorized opening of air quality data will support precise source tracing analysis, pollution warning system development, and specialized model development in the atmospheric environment sector [5]. - The availability of high-quality datasets is expected to enhance the resolution and accuracy of air quality forecasts and accelerate the training efficiency of pollution source tracing models, ultimately aiding local governments in pollution control [5]. Group 3: Future Developments - The registration of air quality data is just the beginning, with plans to progressively register more ecological environment data resources, including air and water quality [6]. - The city’s big data center will increase promotional efforts and continue to facilitate public data resource registration to enhance the value and efficient circulation of data elements [6].

Core Viewpoint - The rapid development of the digital economy has made data a crucial production factor and valuable resource, leading to the emergence of data as an important asset category for enterprises [1][2]. Group 1: Data Asset Financing - In March 2025, the People's Bank of China (PBOC) in Zhanjiang successfully facilitated the first data intellectual property pledge financing in the Guangdong region, allowing Zhanjiang Public Transport Group to secure a loan of 10 million yuan using its "Smart Bus Intelligent Dispatch Management System Data" as collateral [1][4]. - The PBOC in Zhanjiang has been actively guiding financial institutions to recognize the value of data and explore new financing paths for data assets, having previously supported the first data asset pledge financing in the region in June 2024 [2][3]. - Data intellectual property pledge financing is a new financing method that uses legally owned data with registered intellectual property rights as collateral, offering clearer legal ownership, more mature valuation, and higher market acceptance compared to traditional data asset pledge financing [2][3]. Group 2: Knowledge and Policy Promotion - The PBOC in Zhanjiang has organized multiple government-bank-enterprise matchmaking meetings to promote knowledge of intellectual property pledge financing policies, encouraging banks to tailor financing solutions for enterprises based on individual needs [3]. - A comprehensive service system has been established to cover data value extraction, assessment, and financial product development, focusing on local enterprises with intellectual property advantages [3]. Group 3: Impact and Future Directions - The successful implementation of the first data intellectual property pledge financing has validated the financial value of data intellectual property and provided a replicable innovative path for enterprises in Zhanjiang to unlock data value [5]. - The PBOC in Zhanjiang plans to continue exploring new models of data asset pledge financing that align with market rules and meet enterprise needs, contributing to the transformation of urban transportation towards digitalization and intelligence [5].

Core Viewpoint - The implementation of the "Implementation Opinions" aims to accelerate the deep integration of the digital economy with the real economy in Shandong Province, focusing on five key areas over the next three years [2][3]. Group 1: Key Focus Areas - The five key areas include activating data factor value, laying out new tracks for the digital economy, promoting intelligent transformation of the real economy, facilitating cross-domain and cross-regional collaboration, and optimizing the layout of digital infrastructure [2]. - The document emphasizes the importance of institutional construction in advancing the national data factor comprehensive pilot zone, which is a significant mission assigned to Shandong Province [2][3]. Group 2: Economic Growth Targets - By 2027, the core industry value added of the digital economy in Shandong is expected to grow at an average annual rate of over 10%, with its share of GDP steadily increasing [3]. - The province aims to implement a series of major foundational research projects and key technology breakthroughs annually, focusing on nurturing specialized small and medium-sized enterprises, "gazelle" companies, and unicorns in the digital economy sector [3]. Group 3: Data Utilization and Industry Development - Actions will be taken to enhance data factor supply, circulation, operation, and utilization, including the establishment of high-quality data sets and a comprehensive data resource aggregation initiative [3]. - Shandong has already cultivated 18 national-level digital leading enterprises and 46 national-level industrial internet platforms, ranking first in the country, with the information technology industry revenue growing by 18.6% in the first half of the year [3][4]. Group 4: Future Plans and Support - The province plans to build a digital economy statistical monitoring system covering provincial, municipal, and county levels, aiming to cultivate around 100 leading digital economy enterprises by the end of 2026 [4]. - There will be a focus on enhancing digital talent policies and establishing a digital talent evaluation system to support the growth of the digital economy [4].