数字基础设施是发展数字经济的基础。只有搞好基础设施建设，才能促进产业结构的优化升级。优化信 息网络设施。立足区域产业结构特征，科学规划新型数字基础设施，加大信息化建设的投资力度，加快 推进5G网络等信息通信网络的统筹规划，实现城乡重点区域、工业园区、交通枢纽的连续覆盖，夯实 数字经济发展基础；重点强化乡村数字基建薄弱环节，缩小城乡、区域间通信基础设施差异，降低数据 传输、存储、交易等成本，为区域产业结构优化提供重要支撑。加大创新研发投入强度。地方政府要加 大对高校科研的支持力度，鼓励高校开展原创性研究，不断强化组织保障、人才保障、资源保障，完善 科研创新体系，提高科技创新能力；强化对中小微和初创企业的资金与政策支持，发挥企业的主体作 用，主动借鉴国内外企业技术创新经验，持续完善、应用和推广新数字技术，提升企业的市场竞争力。 推动区域数字经济协同发展，构建开放共赢的联动格局 强化产业数字化转型支持，激活产业升级的存量引擎 □ 蒋永彩戴德锋 发展数字经济，可催生新产业（300832），也可赋能传统产业。应加快数字经济与传统产业的融合，增 强传统产业优化升级的内在驱动力。构建智慧农业体系。加快物联网传感器、无人机等 ...

Group 1 - The 2025 Global Industrial Internet Conference opened in Shenyang, focusing on the theme "Digital Initiation of a New Chapter, Intelligent Manufacturing of New Quality" [3][4] - The conference showcased significant project signings, the launch of an industrial software innovation alliance, and the co-construction of high-quality data sets, highlighting the rapid development of the industrial internet as a new emerging industry in Liaoning [4][10] - The integration of artificial intelligence into industrial production is seen as a key driver for upgrading production quality and efficiency, with companies like Shenyang Feituo Painting Technology Co., Ltd. leveraging AI to optimize design processes [6][7] Group 2 - The conference emphasized the importance of collaboration and shared growth opportunities among industry players, with a consensus on the need for cooperative innovation [5][8] - Industrial internet platforms are aiding small and medium-sized enterprises in overcoming challenges related to digital transformation, with significant engagement from over 42,000 companies and 200,000 engineers on these platforms [9] - Strategic cooperation agreements were signed between local governments and major industrial internet companies, indicating strong interest in leveraging digital technologies for industrial upgrades in Liaoning [10][11] Group 3 - The shift from technology-driven to demand-driven applications in artificial intelligence was highlighted, with companies like China Tower integrating AI with industrial internet capabilities to enhance service offerings [7] - The need for tailored solutions in digital transformation was acknowledged, with a focus on leveraging Liaoning's rich educational resources and skilled workforce to meet diverse industrial needs [8][9] - The gradual and methodical approach to industrial digital transformation was emphasized, with recommendations for incremental improvements rather than radical overhauls [11]

Core Viewpoint - The company, Juhua Technology, has secured significant contracts with Southern Power Grid and State Grid, indicating strong growth potential in the electric power IoT sector as investments in the grid are set to accelerate in 2025 [1][2][3]. Group 1: Contract Wins - Juhua Technology has been announced as a candidate for the Southern Power Grid's 2025 metering equipment framework tender, with an expected total bid amount of approximately 166 million yuan [2]. - In June, Juhua Technology won a major contract from the State Grid, totaling approximately 197 million yuan for 748,300 units of metering equipment [3]. - The company is well-positioned to benefit from the anticipated increase in grid investments, with State Grid planning over 650 billion yuan and Southern Power Grid forecasting 175 billion yuan in investments for 2025 [3]. Group 2: Financial Performance - Juhua Technology has shown steady growth in revenue and net profit for six consecutive years, with revenues increasing from 892 million yuan in 2019 to 2.029 billion yuan in 2024, reflecting a compound annual growth rate [5]. - The company reported a total revenue of 884 million yuan in the first half of 2025, a year-on-year decrease of 12.88%, while net profit increased by 1% to 344 million yuan [5][6]. - The decline in revenue is attributed to a decrease in orders, but the company’s strong profitability in IoT communications and sensor products has helped maintain net profit growth [6][7]. Group 3: Financial Health - As of June 30, 2025, Juhua Technology's debt-to-asset ratio was a low 13.98%, indicating a strong financial position [7]. - The company had cash reserves of 2.473 billion yuan, with short-term borrowings and current liabilities being significantly lower [7].

Group 1 - The core viewpoint of the article highlights the transformation of grain storage management through digitalization and smart technology, enhancing food security in Inner Mongolia [1][5] - The implementation of IoT sensors and 5G technology allows for real-time monitoring of grain conditions, achieving a monitoring accuracy of 98% [3][4] - The introduction of a blockchain-based "一卡通" system automates the entire grain circulation process, reducing vehicle entry and exit time by 50% from 2 hours to 1 hour [4] Group 2 - The digital transformation has led to a 70% reduction in manual inspection costs and a 90% improvement in response speed to grain conditions [4] - The initiative supports a controllable system from farm to table, ensuring efficient circulation, stable quality, and traceability of oat products [5] - The collaboration between traditional agriculture and innovative technology exemplifies the concept of "hiding grain in technology," reinforcing the importance of communication technology in securing China's food supply [5]

Core Insights - The Internet of Things (IoT) has evolved into the Artificial Intelligence of Things (AIoT) over the past 20 years, with predictions indicating over 29 billion connected devices by 2030 [1] - A significant concern is the potential for these devices to become "digital islands" due to firmware termination, protocol failures, and expired certifications, leading to issues of maintenance and electronic waste [1][2] - The recent bankruptcy of Sigfox highlights the fragility of IoT infrastructure, as many devices become non-functional without proper support [2][3] - The transition from 2G/3G networks has shown the high costs associated with maintaining legacy systems, emphasizing the need for sustainable infrastructure [3] - The rise of electronic waste from AIoT devices poses environmental challenges, with projections of 5 million tons of e-waste generated from generative AI technologies by 2030 [4] Industry Challenges - The AIoT industry faces a critical need for sustainable infrastructure services, as many devices lack long-term maintenance plans, leading to premature obsolescence [5] - The closed ecosystems of many IoT solutions limit local operators' autonomy, creating a dependency on foreign technology and support [6] - The lack of standard protocols and cross-platform compatibility contributes to the maintenance blind spots for IoT devices [3][5] Solutions and Innovations - A sustainable IoT strategy should include lifecycle design principles, open standards, and cross-platform integration to enhance device longevity and reduce waste [6][5] - Innovative approaches, such as repurposing old smartphones as data centers, can help mitigate e-waste while lowering costs for IoT projects [7] - The focus should shift from merely increasing device connectivity to ensuring sustainable management throughout the device lifecycle [8]

Core Insights - Indonesia is focusing on the development of AI in agriculture and fisheries, seeking support from China to enhance agricultural productivity amid rising food demand due to population growth and urbanization pressures [1] - The country has a significant reliance on imported fertilizers, with annual demand exceeding 13 million tons, while domestic production is only about 3.5 million tons, highlighting the urgent need for improved fertilizer efficiency [2] - Climate change poses a significant threat to Indonesian agriculture, with seasonal droughts leading to increased crop failure risks, necessitating the use of agricultural drones for health monitoring and precise pesticide application [3] - The digital divide between urban and rural areas hampers the adoption of smart agriculture technologies, with 60% to 70% of residents in eastern Indonesia lacking stable internet access, which is crucial for IoT-based agricultural solutions [3][4] - Smallholder farmers face high barriers to entry for adopting smart agriculture due to financial constraints and a lack of access to credit, limiting their ability to invest in advanced technologies [4] - There is a projected shortage of 9 million digital professionals in Indonesia by 2030, which could hinder the development of smart agriculture due to a lack of skilled labor [4] Opportunities for Cooperation - The challenges faced by Indonesia in agriculture and AI present opportunities for collaboration with China, focusing on the intelligent transformation of basic livelihood industries in developing countries [5] - Future cooperation between China and Indonesia in agriculture should assess the feasibility of integrating new productive forces and promote the deep integration of cutting-edge technology with basic livelihood sectors [5]

Core Insights - The integration of IoT sensors and cloud data platforms allows real-time monitoring of asset performance, energy consumption, and space utilization, significantly reducing maintenance costs and energy alerts [1] - The implementation of smart systems in commercial real estate enhances operational efficiency, automates processes, and improves decision-making through data-driven insights [4][5][10] Monitoring Phase - During the construction phase, the use of BIM models and RFID tags improves acceptance rates by 40% [2] - In the operational phase, vibration sensors and AI analysis reduce downtime by 65% [2] - Predictive maintenance using machine learning optimizes spare parts inventory by 30% [2] - Blockchain technology enhances residual value assessment, increasing disposal premiums by 18% [2] Digital Contract Management - Digital management through electronic contract systems streamlines the entire process, reducing approval times from an average of 3 days to under 2 hours [4] - The use of smart templates allows for quick adaptation to various business needs, ensuring legal validity and real-time tracking of contract modifications [4] Financial Automation - The introduction of automated systems for rent billing and expense allocation reduces processing time from 5 days to 2 hours, minimizing human error [5] - Automated platforms for deposit management support bulk operations and reminders, significantly reducing repetitive tasks by 70% [5] Intelligent Approval Processes - Automated approval processes streamline contract management, reducing manual handling time from 3-5 days to under 2 hours [6] - The system can trigger risk assessments and synchronize with legal and financial departments, ensuring efficient contract processing [6] 3D Spatial Positioning Technology - 3D modeling technology provides real-time asset status visibility, improving maintenance response times and optimizing space utilization [8] - This technology enhances tenant decision-making by offering visual insights into office layouts and parking distributions [8] Tagging and Classification Management - Dynamic tagging systems improve asset maintenance response times by 40% and enable strategic adjustments based on usage data [9] - The system can automatically flag underutilized spaces, prompting adjustments in leasing strategies [9] Precision Operations - Dynamic dashboards allow for real-time tracking of key metrics, leading to significant cost savings and improved tenant satisfaction [10] - The use of data analytics helps identify underperforming assets and optimize operational strategies [10] Revenue Optimization Strategies - Successful case studies show that data analysis can lead to increased revenue through strategic adjustments in asset utilization [11] - Dynamic pricing strategies can enhance profitability by adjusting rates based on seasonal demand [11]

Core Insights - The article highlights the impact of drought conditions on wheat and peach crops in Jiangsu province, emphasizing the need for effective irrigation strategies to mitigate the effects of insufficient rainfall [1][2][3] Group 1: Drought Conditions and Agricultural Impact - The average temperature in Jiangsu province reached a record high for April, while precipitation was 40% below normal, leading to significant drought stress on crops [1] - Over 4 million acres of wheat are currently affected by drought, coinciding with critical growth stages for the crop [2] - Soil moisture levels are a concern for peach farmers, who are advised to use drip irrigation to ensure adequate water supply without overwatering [2] Group 2: Innovative Irrigation Solutions - A "空—地" (air-ground) collaborative smart irrigation system has been developed, utilizing drones and IoT sensors to monitor crop health and soil moisture in real-time [3] - This system allows for data-driven irrigation decisions, improving water use efficiency by 30% to 50% compared to traditional methods [3] Group 3: Research and Development in Drought Resistance - Research teams at Yangzhou University are working on breeding drought-resistant crop varieties, with a focus on maize root systems [4][5] - The use of gene editing technology is expected to lead to the development of drought-resistant varieties within 7 to 10 years, contributing to global food security [5]