智慧消防技术的应用和发展研究

随着城市化进程的加快和建筑形态日趋复杂,传统消防模式逐渐显现其局限性,智慧消防技术应运而生.该技术以物联网,大数据,人工智能等为支撑,致力于构建覆盖火灾防控全过程的智能化体系.本文从理论框架,应用实践与发展趋势三个维度系统探讨智慧消防技术.在理论层面,重点研究火灾智能探测,多源信息融合与关键技术体系;在应用方面,分析了智慧消防在大型商场,高层建筑,城市消防物联网,企业单位及工业园区等场景的实际案例;在发展趋势方面,探讨了火灾预警,监测与监管"智慧化"升级,大数据应用不断深入,新兴技术融合与应用场景持续拓展.智慧消防技术正从单一技术向系统化,生态化方向演进.目前,该领域仍面临诸多挑战,未来应通过完善标准体系,促进技术深度融合,加强实战验证等措施,持续提升其应用价值与公共安全保障能力.

基于AHP的模糊综合评价法在机场跑道抢修作业效能评估中的应用

跑道抢修能力评估作为机场保障能力建设的基础性工作,可以动态掌握作业过程中的优势与不足,为优化作业流程,改进技术装备,提高人员素质提供重要依据.但是,当前机场跑道抢修专业队伍建设侧重实体能力,而效能评估体系滞后,缺乏科学量化方法.针对这一问题,本文构建包含5个一级指标,14个二级指标,35个三级指标的评估体系,融合层次分析法(AHP)与模糊综合评价法,解决指标权重分配与模糊定性指标量化难题.通过德尔菲法优化指标体系,纳入智能化抢修,无人化作业,军民融合等实战要素,建立多维度效能评估模型.案例分析表明,该模型可精准识别抢修能力短板,为优化资源配置,改进装备技术,提升人员素质提供科学决策依据,对增强机场跑道保障能力具有重要现实意义.The evaluation of runway emergency repair capability, as a fundamental task in the construction of airport support capabilities, enables dynamic understanding of the advantages and disadvantages in the operation process, providing an important basis for optimizing the operation process, improving technical equipment, and enhancing personnel quality. However, the current construction of professional teams for airport runway emergency repair focuses on physical capabilities, while the effectiveness evaluation system lags behind, lacking scientific and quantitative methods. Aiming at this problem, this paper constructs an evaluation system that includes 5 first-level indicators, 14 second-level indicators, and 35 third-level indicators. By integrating the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation Method, it solves the problems of index weight distribution and quantification of fuzzy qualitative indicators. The index system is optimized through the Delphi method, incorporating practical elements such as intelligent emergency repair, unmanned operation, and civil-military integration, and a multi-dimensional effectiveness evaluation model is established. The case analysis shows that this model can accurately identify the weaknesses of the emergency repair capability, providing a scientific decision-making basis for optimizing resource allocation, improving equipment technology, and enhancing personnel quality, which has important practical significance for enhancing the airport runway support capability.

人工智能:遇见“新影视”

随着人工智能的不断革新,依托于高新技术的各个行业产生了不可忽视的变化。电影作为基于技术发明而产生的艺术,也有了新的挑战与机遇。在科技创新能力和技术应用水平不断提升的新时代,未来电影技术将不断地向智能化迈进,电影产业将迎来新的转型升级时期,中国乃至全球的电影质量也将向着高质高效的方向发展。本文以新时代下人工智能发展研究为起点,基于深度学习创建电影海报推荐系统和基于深度学习的演员出镜时间计算系统,用两个实战案例讨论了电影宣传新技术和电影娱乐新发展的不同发展路径,并简要介绍了人工智能在中国电影技术中的发展前景。