Core Viewpoint - The Dongying Maritime Bureau is implementing an intelligent monitoring system to address the challenges of rapidly changing water depth at the Yellow River estuary, ensuring safe navigation for passenger ships while enhancing data accuracy and reliability [1][4]. Group 1: Intelligent Monitoring System Development - The Dongying Maritime Bureau is focusing on real-time, precise, and intelligent monitoring of water depth by integrating signal foundations, equipment, and multi-party collaboration [1][3]. - The bureau is actively constructing 5G communication bases and other signal stations in key areas to minimize signal blind spots, facilitating stable real-time data transmission [3][4]. Group 2: Data Collection and Verification - The implementation of the MIBT system, intelligent depth measuring devices, and mobile 5G repeaters on emergency vessels allows for high-frequency data collection, with measurements being transmitted every 2 seconds [3]. - A three-way verification mechanism involving drones, smart devices, and manual checks has been established to ensure data reliability, with measurement errors controlled within 0.1 meters [3][4]. Group 3: Safety and Regulatory Enhancements - The intelligent monitoring system enables comprehensive safety assessments of the Yellow River passenger routes, particularly during peak travel periods, ensuring navigation safety [4]. - The system not only addresses water depth measurement challenges but also supports dual objectives of safety regulation and tourism development, contributing to ecological protection and high-quality development in the Yellow River basin [4][5]. Group 4: Future Optimization Plans - The Dongying Maritime Bureau plans to enhance the effectiveness of the intelligent monitoring system by deepening the application of AI in data analysis for automatic risk warnings and dynamic assessments of navigation capacity [4]. - Regular maintenance and calibration of smart devices will be conducted to ensure long-term stability and reliability of monitoring data [5].

人机协同干预提升心理服务效率。人工智能通过人机协同的机制创新，可以有效缓解心理服务领域长期 面临的专家资源短缺与工作量过载困境。智能分流系统可以根据问题类型、紧急程度自动匹配干预方 案，常规心理困扰由AI推送数字化课程或自助工具解决，复杂案例则精准转介至相应领域的专家，避 免人力资源的过度消耗。在初步评估阶段，自然语言处理引擎可以自动分析民警语言行为数据，快速生 成多维心理画像，将原本耗时数小时的个案分析压缩至分钟级；在日常服务中，对话式AI引擎可以基 于情感计算提供7×24小时心理支持，其语义分析模块能识别常见心理困扰，并匹配相应的认知行为疗 法框架，智能系统可完成大量常规性咨询应答，释放人力资源以聚焦复杂个案处理。在危机干预中， □ 王 坚 民警队伍作为维护社会稳定的中坚力量，长期面临高压力、高应急、高负荷的"三高"工作环境，心理健 康问题日益凸显。民警心理健康工作是高水平推进公安工作现代化的重要支撑。近年来，各级公安机关 把民警心理健康工作摆上重要议事日程，逐步形成了心理训练、咨询服务和危机干预"三位一体"的工作 体系，民警心理健康工作取得了初步成效。然而，当前民警心理服务工作中还存在资源分配失衡、干预 ...