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EN
A multi-sensor joint detection technology was proposed based on the theory of the high frequency current transformer (HFCT) method, Ultra-high frequency (UHF) method and acoustic emission (AE) method. An experimental partial discharge (PD) testing was applied on XLPE cable with artificial defect signals. The experimental results show that the multi-sensor joint detection technology will help to identify the PD signals from the interference noises and improve the localization accuracy.
PL
Zastosowano wielosensorową metodę badania wyładowania niezupełnego: wysokoczęstotliwościowy transformator prądu oraz metodę emisji akustycznej. Badania przeprowadzono na kablu ze sztucznym sygnałem defektu. Umożliwiło to wydzielenie sygnału z szumów i poprawe dokładności pomiaru lokalizacji.
2
Content available Measurable realistic image-based 3D mapping
EN
Maps with 3D visual models are becoming a remarkable feature of 3D map services. High-resolution image data is obtained for the construction of 3D visualized models.The3D map not only provides the capabilities of 3D measurements and knowledge mining, but also provides the virtual experienceof places of interest, such as demonstrated in the Google Earth. Applications of 3D maps are expanding into the areas of architecture, property management, and urban environment monitoring. However, the reconstruction of high quality 3D models is time consuming, and requires robust hardware and powerful software to handle the enormous amount of data. This is especially for automatic implementation of 3D models and the representation of complicated surfacesthat still need improvements with in the visualisation techniques. The shortcoming of 3D model-based maps is the limitation of detailed coverage since a user can only view and measure objects that are already modelled in the virtual environment. This paper proposes and demonstrates a 3D map concept that is realistic and image-based, that enables geometric measurements and geo-location services. Additionally, image-based 3D maps provide more detailed information of the real world than 3D model-based maps. The image-based 3D maps use geo-referenced stereo images or panoramic images. The geometric relationships between objects in the images can be resolved from the geometric model of stereo images. The panoramic function makes 3D maps more interactive with users but also creates an interesting immersive circumstance. Actually, unmeasurable image-based 3D maps already exist, such as Google street view, but only provide virtual experiences in terms of photos. The topographic and terrain attributes, such as shapes and heights though are omitted. This paper also discusses the potential for using a low cost land Mobile Mapping System (MMS) to implement realistic image 3D mapping, and evaluates the positioning accuracy that a measureable realistic image-based (MRI) system can produce. The major contribution here is the implementation of measurable images on 3D maps to obtain various measurements from real scenes.
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