-Laser scanned point clouds are important part of the modern work processes in mine industry. Inertia corrected handheld laser scanners are new type of apparatus commercially available from the year 2013 to gather point clouds. These devices are fast to use as the person scanning can walk when holding the device and the map is then automatically produced, however the resulted point cloud is most likely not as accurate as it is with standard industrial laser scanner.Having major advances in fast and easy scanning and a drawback of not so great accuracy might do the usage of the attained point cloud non trivial in industry. Based on experiments accuracy of the ZEB1 handheld laser scanner from Geoslam Ltd is studied in three underground field experiments.Obtained RMSE varied between 0.15 -0.43 meters. It's important to remember that these results are not mostly about accuracy of the ZEB1 (Zebedee) but about the accuracy of the whole measurement chain of personnel, measurement devices and the coordinate system used in the mine.Scanning speeds in experiments were astonishing from 5 to 13.5 tunnel meters per minute.
Machine control systems generate huge amounts of data to be used to build smarter. This information is still not widely used as there are no general methods to access this massive spread of data as these are strictly closed systems. Main tools in our study were an open source 3D game and simulation engine for visual 3D presentation (Panda3D), a machine control system on an excavator which was opened by manufacturer for data transfer (Novatron) and a communication link between these main components Extensible Messaging and Presence Protocol (XMPP). Visualization was performed in 3D presenting model of the road layers and the excavator working on the site using GPS positioning transferred in XML through XMPP. The result shows how to use open source tools to successfully manage data transfer and data presentation using easily accessible open source software and also show potential what these tools could provide for construction software development. For future we hope that every machine control system used will send the data they gather by open methods. This openness should be even demanded as it would most likely generate new ways to use the data and thus generate new business opportunities and would produce new tools to gain higher productivity.
In the underground mining and tunnelling rock excavation processes, there is plethora of different machine, tool and information system providers involved and practically no general information model covering the complete process. The competition in the field is getting more intense and all the actors should intensify their operations. The information management and integration of different information systems' data is among the most interesting enablers for such a better operational efficiency. The main goal of the research was to develop flexible methods for better application interoperability and information management for the underground rock excavation processes. The research used a literature survey, a commercial systems survey, professional interviews and worksite observations in order to develop a new general information model for rock excavation and define a toolchain for the exploitation of the developed model. In this research, the information model for underground rock excavation actions was developed applying applicable parts of existing standards and software tools. The main information model can be extended by using separately designed sub-models. In addition to information model also a toolchain of how to practically do the model development and information integration, has been described. These actions will enhance information management and application interoperability in the rock excavation processes and enable more efficient information exploitation leading potentially to better controlled processes, more efficient work phases and cost savings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.