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Integration system research and development for three-dimensional laser scanning information visualization in goaf 被引量:2
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作者 罗周全 黄俊杰 +2 位作者 罗贞焱 汪伟 秦亚光 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2016年第7期1985-1994,共10页
An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, clo... An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable. 展开更多
关键词 GOAF laser scanning visualization integration system 1 Introduction The goaf formed through underground mining of mineral resources is one of the main disaster sources threatening mine safety production [1 2]. Effective implementation of goaf detection and accurate acquisition of its spatial characteristics including the three-dimensional morphology the spatial position as well as the actual boundary and volume are important basis to analyze predict and control disasters caused by goaf. In recent years three-dimensional laser scanning technology has been effectively applied in goaf detection [3 4]. Large quantities of point cloud data that are acquired for goaf by means of the three-dimensional laser scanning system are processed relying on relevant engineering software to generate a three-dimensional model for goaf. Then a general modeling analysis and processing instrument are introduced to perform subsequent three-dimensional analysis and calculation [5 6]. Moreover related development is also carried out in fields such as three-dimensional detection and visualization of hazardous goaf detection and analysis of unstable failures in goaf extraction boundary acquisition in stope visualized computation of damage index aided design for pillar recovery and three-dimensional detection
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A parallel algorithm for an Ocean General Circulation Model based on a unified dynamics framework
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作者 Yaxin Li Xuebin Chi +7 位作者 Jinrong Jiang Run Guo Lian Zhao Chen Li Yidi Bai Junlin Wei Xiang Han Guangqing Zhou 《CCF Transactions on High Performance Computing》 2025年第6期537-555,共19页
Ocean General Circulation Model(OGCM)is a computer simulation tool based on physical principles and mathematical equations,aiming at studying global ocean circulation and its impact on the climate system.Its diverse r... Ocean General Circulation Model(OGCM)is a computer simulation tool based on physical principles and mathematical equations,aiming at studying global ocean circulation and its impact on the climate system.Its diverse resolutions and large computational data make parallel optimization a research hotspot.In the present study,we redesign the OGCM under a unified dynamic framework of serial versions(based on an unstructured grid)for the first time with a MPI parallel algorithm.Specifically,our work mainly consists of the following two parts:(1)we first change the model from a raw serial program to a parallel program that supports communication between multiple CPU cores.(2)In response to the problem of a sharp decrease in parallel efficiency as the number of CPU cores increases in the parallel optimized mode,we optimize the grid coding of the original model and proposed a new boundary communication scheme.We conduct single-node and multi-node experiments on a multi-CPU cluster to evaluate the proposed approach.Using the original OGCM-initially limited to serial execution-as a baseline,we achieve a 175.91×speedup on 640 cores.Afterwards,we extend the parallel version to multiple nodes,with strong scaling parallel efficiency of 42.2%on 8 nodes using 320 cores. 展开更多
关键词 Ocean General Circulation model·Parallel optimization·Unstructured grid·High performance computing
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