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A self-powered and concealed sensor based on triboelectric nanogenerators for cultural-relic anti-theft systems

Nano Research 2022年第9期15卷 8435-8441页

作者： Baocheng wang Xiaoying Zhai Xuelian Wei Yapeng Shi Xiaoqing Huo Ruonan Li Zhiyi Wu Zhong Lin Wang Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 101400China College of Nanoscience and Technology University of Chinese Academy of ScienceBeijing 100049China Queen Mary University of London Engineering School Northwestern Polytechnical UniversityXi’an 710072China CUSTech Institute of Technology Wenzhou 325024China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

The theft prevention for cultural relics in museums,field excavation sites,and temporary exhibition events is of extreme importance.However,traditional anti-theft technologies such as infrared monitoring and radio frequency identification are highly costly,power-consuming,and easy to break.Here,a transparent,ultrathin,and flexible triboelectric sensor(TUFS)with a simple and low-cost method is proposed.With a thickness,weight,and transmittance of 92μm,0.12 g,and 89.4%,the TUFS manifests superb concealment.Benefiting from the characteristic of triboelectric nanogenerators,the TUFS responds effectively to common cultural-relic materials.Moreover,distinguished electrical responses can be obtained even for very small weights(10 g)and areas(1 cm^(2)),proving the sensitivity and wide range of use of the TUFS.Finally,we construct a concealed cultural-relic anti-theft system that enables real-time alarming and accurate positioning of cultural relics,which is expected to strengthen the security level of the existing museum anti-theft systems.

关键词： concealed sensor self-powered triboelectric nanogenerator cultural relic anti-theft

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Sanxingdui cultural relics Recognition Algorithm Based on Hyperspectral Multi-Network Fusion

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Computers, Materials & Continua 2023年第12期77卷 3783-3800页

作者： Shi Qiu Pengchang Zhang Xingjia Tang Zimu Zeng Miao Zhang Bingliang Hu Key Laboratory of Spectral Imaging Technology CAS Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’anChina Institute of Culture and Heritage Northwest Polytechnic UniversityXi’anChina

Sanxingdui cultural relics are the precious cultural heritage of humanity with high values of history,science,culture,art and research.However,mainstream analytical methods are contacting and detrimental,which is unfavorable to the protection of cultural relics.This paper improves the accuracy of the extraction,location,and analysis of artifacts using hyperspectral methods.To improve the accuracy of cultural relic mining,positioning,and analysis,the segmentation algorithm of Sanxingdui cultural relics based on the spatial spectrum integrated network is proposed with the support of hyperspectral techniques.Firstly,region stitching algorithm based on the relative position of hyper spectrally collected data is proposed to improve stitching efficiency.Secondly,given the prominence of traditional HRNet(High-Resolution Net)models in high-resolution data processing,the spatial attention mechanism is put forward to obtain spatial dimension information.Thirdly,in view of the prominence of 3D networks in spectral information acquisition,the pyramid 3D residual network model is proposed to obtain internal spectral dimensional information.Fourthly,four kinds of fusion methods at the level of data and decision are presented to achieve cultural relic labeling.As shown by the experiment results,the proposed network adopts an integrated method of data-level and decision-level,which achieves the optimal average accuracy of identification 0.84,realizes shallow coverage of cultural relics labeling,and effectively supports the mining and protection of cultural relics.

关键词： Sanxingdui cultural relic spatial features spectral features hyperspectral integration

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