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关键词： 海洋   核应急   放射性监测   在线监测   放射性核素  

摘要： 为高效应对海洋放射性监测的常态化需求,设计了走航式海洋放射性在线监测系统。该系统由水下辐射探测器、气象传感器、数据采集和传输装置组成,可进行走航式海洋放射性在线监测。采用该系统对连云港田湾核电站周边海域完成两次海上测试,测试结果表明:走航式监测结果与海水取样分析结果基本一致,验证了系统的可行性和稳定性。

关键词： 机械合金化   热压烧结   非晶合金   元素添加   力学性能  

摘要： 采用机械合金化和热压烧结的方法制备了5组不同组分的Ti-Al非晶合金,对比分析了Zr,Zr-B,Zr-Y以及Zr-B-Y元素添加后,非晶合金粉末和烧结块体的物相组成、显微形貌、密度和力学性能,并对压缩断口形貌进行了观察。结果表明,在Ti-Al非晶合金中加入Zr,Zr-B,Zr-Y以及Zr-B-Y元素后,球磨处理后非晶合金粉末仍然保持着非晶形态,元素添加并没有改变Ti-Al非晶合金的非晶态特征。Zr,Zr-B,Zr-Y以及Zr-B-Y元素添加后,机械合金化和热压烧结处理后非晶合金块体的实测密度和相对密度有不同程度增加,Zr-B复合添加的非晶合金的实测密度和相对密度最大。在Ti-Al非晶合金中加入Zr,Zr-B,Zr-Y以及Zr-B-Y都可以不同程度提高非晶合金块体的压缩断裂强度、弹性模量和硬度,且复合添加Zr-B-Y的非晶合金的压缩断裂强度、弹性模量和硬度最大。

关键词： 大数据   数据整合   数据共享   平台构建   关键技术  

摘要： 伴随信息技术的迅猛发展,跨域大数据整合与共享成为提升数据价值、加快数字化转型的关键步骤。本文致力于探讨跨域大数据整合与共享平台的构建方式及其关键技术。通过剖析现有数据整合与共享面临的挑战,提出一个综合性的平台框架,此平台能够达成多源数据的高效整合与安全共享。进一步阐述数据预处理、数据集成、数据共享与交换、安全与隐私保护等关键技术,并结合实际应用场景,论述平台在提高数据处理效率、推动数据流通与价值挖掘方面的重要作用。

关键词： 人员疏散   工业园区   消防应急管理   大数据   机器学习   通信  

摘要： 近年来,电动自行车以其便捷、环保的特点受到民众广泛青睐,但同时其充电安全问题日益受到关注。据国家消防救援局数据,电动自行车火灾80%发生在充电过程中,凸显电动自行车充电安全问题的紧迫性。本文旨在探讨电动自行车在室内环境、室外环境和特殊场所3种典型充电场景下的充电安全问题,分析存在的风险隐患,并给出针对性的建议和改善措施。

关键词： 玉米栽培   全程机械化   技术应用  

摘要： 基于农业机械化成为推动农业转型升级、提高生产效率与质量的关键力量,分析了玉米全程机械化栽培的重要性,结合数学模型分析了玉米全程机械化栽培关键技术的具体应用。研究结果表明,玉米全程机械化栽培技术显著提升了临洮县玉米种植效率,应大力推广应用。

关键词： Titanium alloys  

摘要： Here, quasi-static/dynamic compressive mechanical properties and failure morphology of additive manufactured titanium alloy lattice structures were studied with test and Simulation method, and the dynamic constitutive model of additive manufactured titanium alloy was verified. High-speed impact tests of lattice structure were conducted with air cannon System, and the numerical Simulation model with macro-micro combination for lattice structure was established. The results showed that lattice structure mainly exhibits shear damage under quasi-static/dynamic compressive load;the structure exhibits an obvious strain rate strengthening effect under dynamic compressive load;the dynamic constitutive model of additive manufactured titanium alloy used can effectively simulate quasi-static/dynamic compression Performance and strain rate strengthening effect of lattice structure;under high-speed impact, lattice structure mainly exhibits shear failure and crushing damage in impact area;the numerical Simulation method with macro-micro combination can significantly reduce computation time and effectively simulate damage of lattice structure in high-speed impact process. © 2025 Chinese Vibration Engineering Society. All rights reserved.

关键词： Empirical mode decomposition  

摘要： Here, aiming at the problem of insufficient samples and strong complexity of fault Vibration signals of rotating machinery in real scenarios, eonsidering limitations of fault diagnosis under a single mode, a multi-kernel support vector machine (MKSVM) multi-mode fusion rotating machinery fault Classification method based on residual spatial attention network (RSAN) and ensemble empirical mode decomposition (EEMD) was proposed. Firstly, wavelet thresholding denoising processing was performed for original data, and the denoised 1D signals were converted into 2D recurrence plots. Then, RSAN structure was designed, recurrence plots of training set were input into RSAN structure for training to capture recurrence features of fault signals. Subsequently, sample entropies of intrinsic mode functions (IMFs) of EEMD were calculated, and time-domain features of fault signals were selected based on their coefficients of Variation. Finally, MKSVM was used to perform high-dimensional mapping and fusion for multimode feature vectors, and complete fault Classification of rotating machinery. The results showed that correctness rates of the proposed method can reach 100.0% and 98.3%, respectively on rotor and bearing fault data with few samples, so the proposed method has good feasibility. © 2025 Chinese Vibration Engineering Society. All rights reserved.