Development of hyperspectral imaging (HSI) for nuclear decommissioning

微型高分辨率高光谱相机提供了快速绘制材料和环境(如废物处理库)的地图的潜力，从而可以实时和远程进行实时表征和监测。目前，还没有为核退役和废物处理环境开发三维实现这一点的技术(即，可以将材料贴图放置在3D环境中)，因此，实现这一点将为在受限环境中进行实时远程表征提供一种新的选择，从而导致更快的去污反应。此外，至关重要的是，必须将定性与确定需要什么定性的安全案例相结合，从而与现有数据和数据差距的知识相结合，从而能够将输出纳入安全案例的空间数据库管理系统，从而能够容易地纳入核安全案例的制定。其中之一是在机器人平台上调查退役地点，并扩展EPSRC资助的Torone项目(www.torone-project t.com)。学生将开发涉及人工智能和机器学习的数据分析例程来分析图像。高光谱成像是一种将感兴趣的区域空间分析成多个光谱波段的技术，通常是在可见光或近红外波段。许多特征仅在某些波长范围内可见。在核退役和放射性废物管理期间的快速决策，包括深层地质处置，是降低风险和成本的关键。该项目旨在开发一种新的能力，利用3D高光谱成像，通过(1)与3D数字数据(如3D激光扫描)相结合，以及(2)使用摄影测量学风格的技术，在不需要3D几何数据收集的情况下，创建3D高光谱材料图像，从而在极端环境中对材料进行快速、远程、现场测绘。这将在一个地理信息系统风格的空间数据库建筑管理系统(DBMS)的框架内进行，以设置3D背景，并允许对安全案例进行实时决策。

Miniaturised high-resolution hyperspectral cameras offer potential for speedy mapping of materials and environments such as waste disposal repositories, such that real time characterisation and monitoring could be undertaken in real time and remotely. Currently the techniques for achieving this in three dimensions (i.e. such that the material maps can be placed in 3D in context with other materials), have not been developed for nuclear decommissioning and waste disposal environments, so achieving this will provide a new option for real-time remote characterisation in restricted environments, leading to a much quicker decontamination response. Additionally, it is essential to tie characterisation with the safety case that defines what characterisation is required, and thus with knowledge of existing data and data gaps, thus being able to integrate output into a safety case's spatial database management system would allow for easy integration into nuclear safety case development.The aim is therefore to develop hyperspectral imaging for a wide range of applications in the nuclear sector. One of these is to go on a robotic platform to survey sites for decommissioning and extends the EPSRC funded TORONE project (www.torone-project.com). The student will develop data analytics routines involving artificial intelligence and machine learning to analyse the images. Hyperspectral imaging is a technique to spatially analyse an area of interest into multiple spectral bands usually in the visible or near-infrared. Many features are only visible in certain wavelength ranges.Rapid decision making during nuclear decommissioning and radioactive waste management, including deep geological disposal, is key to reducing risk and costs. This project aims to develop a novel capability to undertake speedy, remote, in-situ mapping of materials in extreme environments using hyperspectral imaging in 3D, through (i) integration with 3D digital data (e.g. from 3D laser scanning) and (ii) the use of photogrammetry-style techniques to create 3D hyperspectral material images without the need for 3D geometrical data collection. This will be undertaken within the framework of a GIS-style spatial database building management system (DBMS) to set the 3D context and allow real-time decision making for safety cases.