{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T06:30:57Z","timestamp":1775111457269,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T00:00:00Z","timestamp":1568937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p> The three-dimensional registration of industrial facilities has a great importance for maintenance, inspection, and safety tasks and it is a starting point for new improvements and expansions in the industrial facilities context. In this paper, a comparison between the results obtained using a novel portable mobile mapping system (PMMS) and a static terrestrial laser scanner (TLS), widely used for 3D reconstruction in civil and industrial scenarios, is carried out. This comparison is performed in the context of industrial inspection tasks, specifically in the thermal and fluid-mechanics facilities in a hospital. The comparison addresses the general reconstruction of a machine room, focusing on the quantitative and qualitative analysis of different elements (e.g., valves, regulation systems, burner systems and tanks, etc.). The validation of the PMMS is provided considering the TLS as ground truth and applying a robust statistical analysis. Results come to confirm the suitability of the PMMS to perform inspection tasks in industrial facilities.<\/jats:p>","DOI":"10.3390\/rs11192205","type":"journal-article","created":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T03:26:32Z","timestamp":1569209192000},"page":"2205","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid\u2013Mechanical Facilities"],"prefix":"10.3390","volume":"11","author":[{"given":"Manuel","family":"Rodr\u00edguez-Mart\u00edn","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Universidad de Salamanca, 37700, B\u00e9jar (Salamanca), Spain"},{"name":"Technological Department, Catholic University of \u00c1vila, 05005, \u00c1vila, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2657-813X","authenticated-orcid":false,"given":"Pablo","family":"Rodr\u00edguez-Gonz\u00e1lvez","sequence":"additional","affiliation":[{"name":"Department of Mining Technology, Topography and Structures. Universidad de Le\u00f3n, 24401, Ponferrada (Spain), Spain"}]},{"given":"Esteban","family":"Ruiz de O\u00f1a Crespo","sequence":"additional","affiliation":[{"name":"Department of Cartographic and Land Engineering. Universidad de Salamanca, 05003, \u00c1vila, Spain"}]},{"given":"Diego","family":"Gonz\u00e1lez-Aguilera","sequence":"additional","affiliation":[{"name":"Department of Cartographic and Land Engineering. Universidad de Salamanca, 05003, \u00c1vila, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1016\/j.optlastec.2011.12.028","article-title":"From point cloud to CAD models: Laser and optics geotechnology for the design of electrical substations","volume":"44","author":"Lopez","year":"2012","journal-title":"Opt. Laser Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.autcon.2014.08.010","article-title":"Image-based modeling of built environment from an unmanned aerial system","volume":"48","year":"2014","journal-title":"Autom. Constr."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Caldwell, R. (2017, January 5\u20138). Hull inspection techniques and strategy-remote inspection developments. Proceedings of the SPE Offshore Europe Conference & Exhibition, Aberdeen, UK.","DOI":"10.2118\/186116-MS"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"79200","DOI":"10.1109\/ACCESS.2018.2884922","article-title":"Novel Approach for Three-Dimensional Integral Documentation of Machine Rooms in Hospitals Using Portable Mobile Mapping System","volume":"6","author":"Nocerino","year":"2018","journal-title":"IEEE Access"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"16339","DOI":"10.3390\/rs71215827","article-title":"Multi-Sensor As-Built Models of Complex Industrial Architectures","volume":"7","author":"Hullo","year":"2015","journal-title":"Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.aei.2015.01.001","article-title":"State of research in automatic as-built modeling","volume":"29","author":"Armeni","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Quattrini, R., Malinverni, E.S., Clini, P., Nespeca, R., and Orlietti, E. (2015). From TLS to HBIM. High quality semantically-aware 3d modeling of complex architecture. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 367\u2013374.","DOI":"10.5194\/isprsarchives-XL-5-W4-367-2015"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.autcon.2016.08.016","article-title":"Macro-photogrammetry as a tool for the accurate measurement of three-dimensional misalignment in welding","volume":"71","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.autcon.2017.03.002","article-title":"3D reconstruction methods and quality assessment for visual inspection of welds","volume":"79","author":"Ramos","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s00170-016-8707-0","article-title":"Welding seam profiling techniques based on active vision sensing for intelligent robotic welding","volume":"88","author":"Muhammad","year":"2017","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.rcim.2017.12.007","article-title":"Butt welding joints recognition and location identification by using local thresholding","volume":"51","author":"Shah","year":"2018","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Nocerino, E., Rodr\u00edguez-Gonz\u00e1lvez, P., and Menna, F. (2019). Introduction to mobile mapping with portable systems. Laser Scanning: An Emerging Technology in Structural Engineering, CRC Press.","DOI":"10.1201\/9781351018869-4"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.culher.2017.07.007","article-title":"Valorisation of history and landscape for promoting the memory of WWI","volume":"29","author":"Nocerino","year":"2017","journal-title":"J. Cult. Herit."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"663","DOI":"10.5194\/isprs-archives-XLII-2-W9-663-2019","article-title":"The Suitability of Terrestrial Laser Scanning for Building Survey and Mapping Applications","volume":"42","author":"Russhakim","year":"2019","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"355","DOI":"10.5194\/isprs-annals-IV-2-W4-355-2017","article-title":"Exploiting indoor mobile laser scanner trajectories for semantic interpretation of point clouds","volume":"2017","author":"Nikoohemat","year":"2017","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_16","unstructured":"Rodr\u00edguez-Gonz\u00e1lvez, P., and Nocerino, E. (2019). Portable Mobile Mapping Systems applied to the Management of Natural Spaces. New Developments in Agricultural Research, Nova Science Publishers."},{"key":"ref_17","unstructured":"(2019, September 13). GeoSlam Zeb-Revo. Available online: https:\/\/geoslam.com\/solutions\/zeb-revo\/."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Chiabrando, F., Coletta, C.D., Sammartano, G., Span\u00f2, A., and Spreafico, A. (2018). \u201cTorino 1911\u201d project: A contribution of a slam-based survey to extensive 3D heritage modeling. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 225\u2013234.","DOI":"10.5194\/isprs-archives-XLII-2-225-2018"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1111\/phor.12223","article-title":"Towards cavity-collapse hazard maps with Zeb-Revo handheld laser scanner point clouds","volume":"32","author":"Dewez","year":"2017","journal-title":"Photogramm. Rec."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Masiero, A., Fissore, F., Guarnieri, A., Pirotti, F., Visintini, D., and Vettore, A. (2018). Performance Evaluation of Two Indoor Mapping Systems: Low-Cost UWB-Aided Photogrammetry and Backpack Laser Scanning. Appl. Sci., 8.","DOI":"10.3390\/app8030416"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Chiabrando, F., Sammartano, G., and Span\u00f2, A. (2017). A comparison among different optimization levels in 3D multi-sensor models. A test case in emergency context: 2016 Italian earthquake. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 155\u2013162.","DOI":"10.5194\/isprs-archives-XLII-2-W3-155-2017"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Nocerino, E., Menna, F., Remondino, F., Toschi, I., and Rodr\u00edguez-Gonz\u00e1lvez, P. (2017). Investigation of indoor and outdoor performance of two portable mobile mapping systems. Proc. SPIE, 10332.","DOI":"10.1117\/12.2270761"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tucci, G., Visintini, D., Bonora, V., and Parisi, E. (2018). Examination of Indoor Mobile Mapping Systems in a Diversified Internal\/External Test Field. Appl. Sci., 8.","DOI":"10.3390\/app8030401"},{"key":"ref_24","unstructured":"AENOR (Spanish Association for Standardisation) (2014, November 12). Machine Rooms and Gas Fired Self-Contained Apparatus for Heating or Cooling Generation or Cogeneration, Standard UNE 60601:2013. Available online: https:\/\/www.aenor.com\/normas-y-libros\/buscador-de-normas\/une\/?c=N0052265."},{"key":"ref_25","unstructured":"BOE (Official State Gazette of the Government of Spain) (2009). Real Decreto 2060\/2008, de 12 de Diciembre, Por el Que se Aprueba el Reglamento de Equipos a Presi\u00f3n y Sus Instrucciones T\u00e9cnicas Complementarias."},{"key":"ref_26","unstructured":"BOE (Official State Gazette of the Government of Spain) (2007). Real Decreto 1027\/2007, de 20 de Julio, Por el Que se Aprueba el Reglamento de Instalaciones T\u00e9rmicas en Los Edificios."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1109\/TRO.2012.2200990","article-title":"Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile Mapping","volume":"28","author":"Bosse","year":"2012","journal-title":"IEEE Trans. Robot."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1117\/1.JRS.10.046011","article-title":"Evaluation of automated underground mapping solutions for mining and civil engineering applications","volume":"10","author":"Eyre","year":"2016","journal-title":"J. Appl. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Cabo, C., Del Pozo, S., Rodr\u00edguez-Gonz\u00e1lvez, P., Ord\u00f3\u00f1ez, C., and Gonz\u00e1lez-Aguilera, D. (2018). Comparing Terrestrial Laser Scanning (TLS) and Wearable Laser Scanning (WLS) for Individual Tree Modeling at Plot Level. Remote Sens., 10.","DOI":"10.3390\/rs10040540"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/34.121791","article-title":"A method for registration of 3-D shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Wujanz, D., Barazzetti, L., Previtali, M., and Scaioni, M. (2019). A Comparative Study among Three Registration Algorithms: Performance, Quality Assurance and Accuracy. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 779\u2013786.","DOI":"10.5194\/isprs-archives-XLII-2-W9-779-2019"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1111\/j.1467-8659.2007.01016.x","article-title":"Efficient RANSAC for Point-Cloud Shape Detection","volume":"26","author":"Schnabel","year":"2007","journal-title":"Comput. Graph. Forum"},{"key":"ref_33","unstructured":"Cloud Compare (2019, August 07). GPL Software (Version 2.9.1). Available online: www.danielgm.net\/cc\/."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4217","DOI":"10.1109\/JSEN.2017.2700954","article-title":"Feasibility study of a structured light system applied to welding inspection based on articulated coordinate measure machine data","volume":"17","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"14714","DOI":"10.1109\/ACCESS.2019.2891367","article-title":"Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches","volume":"7","year":"2019","journal-title":"IEEE Access"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.isprsjprs.2009.02.003","article-title":"Accuracy assessment of digital elevation models by means of robust statistical method","volume":"64","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_37","first-page":"5497","article-title":"The use of LIDAR as a data source for digital elevation models\u2013a study of the relationship between the accuracy of digital elevation models and topographical attributes in northern peatlands","volume":"8","author":"Hasan","year":"2011","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"13759","DOI":"10.3390\/s140813759","article-title":"Confronting Passive and Active Sensors with Non-Gaussian Statistics","volume":"14","year":"2014","journal-title":"Sensors"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Herrero-Huerta, M., Lindenbergh, R., and Rodr\u00edguez-Gonz\u00e1lvez, P. (2018). Automatic tree parameter extraction by a Mobile LiDAR System in an urban context. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0196004"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/19\/2205\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:22:37Z","timestamp":1760188957000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/19\/2205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,20]]},"references-count":39,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["rs11192205"],"URL":"https:\/\/doi.org\/10.3390\/rs11192205","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,20]]}}}