The research progress of immersion suit materials, garment structures and clothing development were introduced, and the standards at home and abroad were contrasted.The advantages and disadvantages of human trial tests and thermal manikin experiments for thermal insulating performance evaluation of the garment were analyzed. The development of the human thermoregulation model in cold water was summarized, and the mathematical model was used to calculate the temperature distribution of human body immersed in water. The numerical simulation method was proposed to clarify the heat transfer mechanism of human body-clothing-environment system, to evaluate the thermal comfort and survival time of the dressed human body in cold water. Finally, the development trend of immersion suit was predicted, and the direction could be towards materials and structures innovation of immersion suit, new evaluation methods for numerical simulation, and application of intelligent garments.
纬斜是织物生产和后整理加工中常见的疵点,光电设备检测纬斜的方法效率低且不精确.为了提升纬斜疵点的检测效率,将神经网络运用到纬斜检测中,结合纬斜特征改进卷积神经网络,提出具有循环训练策略的目标识别网络——纬斜检测网络,并在网络中加入正样本回归和多尺度输入,以提升卷积网络的性能.为了获得充足的纬斜样本数据用于网络训练,提出一种纬斜疵点数据增强方法,通过将纬斜图像公式化生成大量纬斜样本,并采用综合比较实验评估纬斜检测网络性能.结果表明,纬斜检测网络在纬斜检测中表现出色,检测精度达到98％,平均F-score达到0.97,同时使纬斜率的误差控制在±8％以内,检测性能优于其他目标检测模型.与YOLO网络相比,纬斜检测网络在真实纬斜样本检测中性能优异,拥有良好的跨数据集检测性能.
补缀是中国传统服饰结构中运用极为广泛的一种形式,采用文献研究以及图像考察的方法,从补缀形制、结构和材质3方面剖析其蕴含的造物思想.研究认为,中国传统服饰中的补缀凝练着"致用利人"'节用"和"日用即道"的造物思想,揭示了人与物互动的设计法则,包括生理尺度、价值尺度和功用尺度,其所展现的人、物、自然审美观体现了中国古代人民的智慧,也为现代设计提供参考.
为满足消费者在街头场景下对女衬衫的特殊需求,优化购物体验,提高购物效率,采用问卷调研和图片分析法获取数据,对所得女衬衫属性的偏好信息进行梳理分析.以综合兴趣度为判断指标,建女衬衫的个性化推荐模型,并通过情景实验对推荐模型进行可行性验证.结果表明:模型的验证准确率为83.7％,远高于淘宝推荐的准确率48.3％,该研究方法为针对其他场景的服装个性化推荐提供参考.
从心流体验的视域探索服饰遗产数字的展示形式、进程与现状,并根据心流体验构成要素及原理,梳理基于心流体验的服饰遗产数字展示模型和策略,同时对晋祠圣母殿彩塑服饰遗产进行个性化的角色定位、全沉浸的临场叙事、多模态交互体验的服饰数字展示设计实践.研究表明:基于心流体验的数字展示能突破服饰遗产的物质层面,有效增强人们对服饰遗产知识层面的理解,以情感为纽带提升用户对遗产保护的使命感.
