3 research outputs found

    Terrester laserskanning för inmÀtning av spÄranlÀggningar

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    JĂ€rnvĂ€garna Ă€r i dag hĂ„rt belastade med trafik och Ă€r kĂ€nsliga för störningar. Banverksarbeten Ă€r dĂ€rför nĂ„got som mĂ„ste noggrant planeras och genomföras sĂ„ att det medför sĂ„ lite störningar som möjligt pĂ„ jĂ€rnvĂ€gstrafiken. Även sĂ€kerheten vid allt arbete som berör spĂ„romrĂ„den Ă€r en viktig faktor att ta hĂ€nsyn till. Allt arbete inom spĂ„romrĂ„det mĂ„ste dĂ€rför uppfylla sĂ€rskilda krav. Detta fĂ„r Ă€ven konsekvenser för detaljmĂ€tningar inom spĂ„romrĂ„den dĂ„ spĂ„ret mĂ„ste vara avstĂ€ngt. Ett alternativ Ă€r att anvĂ€nda en terrester laserskanner som fĂ„r sin placering utanför spĂ„romrĂ„det, vilket skulle kunna vara ett mer flexibelt sĂ€tt att mĂ€ta spĂ„rmitt.Syftet med denna studie Ă€r att visa hur mĂ€tningar med terrester laserskanning (TLS) kan utföras i spĂ„rmiljö, jĂ€mföra dem mot traditionella mĂ€tningar med totalstation, samt bestĂ€mma om Trafikverkets toleranskrav kan uppnĂ„s vid TLS-mĂ€tningar i spĂ„ranlĂ€ggningar.BanstrĂ€ckan som var aktuell för inmĂ€tningar var ca 100 m lĂ„ng. SpĂ„rinmĂ€tning utfördes med totalstation med ett intervall pĂ„ 1-2 m. Det totala antalet linjepunkter som mĂ€ttes in var 85 stycken, som sedan skulle jĂ€mföras med laserskanningsmĂ€tningarna. MĂ€tningarna av samma banstrĂ€cka som utfördes med laserskanner utgick frĂ„n fem olika uppstĂ€llningar med ca 10 m avstĂ„nd vinkelrĂ€tt till nĂ€rmaste rĂ€len. Resultatet av jĂ€mförelsen av linjedata frĂ„n de tvĂ„ mĂ€tningar visar pĂ„ en radiell differens i plan med ett medelvĂ€rde pĂ„ 3 mm och differensen i höjd visar ett medelvĂ€rde pĂ„ 5 mm. För att visa pĂ„ hur man kan identifiera olika objekt i punktmoln togs ett antal bilder fram, som pĂ„ ett lĂ€ttöverskĂ„dligt sĂ€tt visar hur mycket information som finns i form av punkter. För att ett fordon ska kunna trafikera spĂ„ret mĂ„ste jĂ€rnvĂ€gsnĂ€tet uppfylla kraven för s.k. lastprofiler. I punktmolnen med nĂ„gra enkla kommandon skapades en lastprofil. DĂ€refter kunde den flyttas lĂ€ngs spĂ„rmittslinjen och stĂ€llas in i relation till alla omkringliggande objekt.TLS har under vĂ„rt arbete visat sig ha en stor potential för bestĂ€mning av spĂ„rmitten och detaljmĂ€tning inom spĂ„romrĂ„det. Under relativt kort tid genererades stora datamĂ€ngder i form av punktmoln frĂ„n vilket enskilda objekt enkelt kunde urskiljas. MĂ€tningsarbeten i ett högtrafikerat spĂ„r Ă€r omgĂ€rdat med restriktioner, men mĂ€tning med laserskanner som utförs utanför sĂ€kerhetszonen krĂ€ver i stort sett bara nĂ€rvaro av en instrumentoperatör. De stora sĂ€kerhetskraven som stĂ€lls i fokus vid arbetet inom spĂ„romrĂ„den uppfylls fullstĂ€ndigt genom att ingen mĂ€tningspersonal behöver vistas i sĂ€kerhetszonen vid mĂ€tning med TLS.Slutsatser som kan dras av vĂ„r studie Ă€r att noggrannheten vid mĂ€tning av spĂ„rmittslinjen med TLS Ă€r jĂ€mförbar med mĂ€tning med totalstation. Kvaliten pĂ„ mĂ€tningarna uppfyller de krav som stĂ€lls för mĂ€tning med totalstation av Trafikverket. Tack vare den snabba insamlingen av stora datamĂ€ngder kan TLS bidra mycket vid mĂ€tning av spĂ„romrĂ„den dĂ€r koncentrationen av spĂ„robjekten Ă€r stor. Insamlad data kan sparas och eventuella missade kontroller, mĂ€tningar och visualiseringar kan utföras genom att nödvĂ€ndig data extraheras ur sparade punktmolnen utan att nya mĂ€tningar behöver genomföras. Detta kan Ă€ven underlĂ€tta framtida arbeten med planering och projektering dĂ„ information av ett spĂ„romrĂ„de behövs i efterhand.The railways are nowadays congested with traffic and are sensitive to disturbance. Rail infrastructure works are something that must be carefully planned and executed when it involves as little disruption as possible for rail traffic. In addition safety of all activities related to railway environment should be considered. All work within the track area must therefore meet certain requirements. This may also influence detail measurements within the track areas where the track must be closed. An alternative is to use a terrestrial laser scanner that can be placed outside the track area, which could be a more flexible way to measure the centre line of the track. The aim of this study is to show how measurements with terrestrial laser scanning (TLS) can be performed in track environment, compare them to traditional measurements with total station and determine whether the Swedish Transport Administrations tolerance requirements can be achieved with TLS measurements.The section of the railway that was surveyed was about 100 m long. Track surveying was carried out with total station with an interval of 1-2 m. In total, 85 points on the track centre line were measured, which could then be compared with laser scanning measurements. The measurements with laser scanner were made from five different set ups at the distance of about 10 m at orthogonally to the nearest rail. The results of comparison of the line data from the two measurements shows a mean radial difference in a horizontal plane of 3 mm. and difference in height shows a mean of 5 mm. To demonstrate how to identify different objects in point clouds, a range of images are presented, which in an easily comprehensible format showing how much information is available in the form of points. For a vehicle, to be able to travel on rail track, must meet the requirements for so called loading-gauges. In the point clouds, a load profile was created with a few simple commands. Then it can be moved along the track center line and set in relation to all surrounding objects. In our work, TLS has proved to have great potential for determination of the track center line and detail measurements within the track area. During the relatively short time, large amounts of data in the form of point clouds were generated from which individual items could be easily distinguished. Surveying work on a busy railway is surrounded by restrictions, but TLS measurements, which can be carried out outside the security zone, require only the presence of an instrument operator. The major safety requirements that should be adhered to in surveys of track areas are satisfied completely, since no surveying staff should work in the security zone during TLS measurements. Conclusions that can be drawn from our study are that accuracy in measuring the track center line with TLS is comparable to the measurement with the total station. The quality of the measurements meets the requirements for the measurement with total station of Swedish Transport Administrations. Thanks to the rapid collection of large amounts of data TLS can contribute much in the surveys of railway areas where the concentration of objects is large. Data can be saved and any missed checks can be performed trough extraction of necessary data from the point clouds without the need for new measurements. This may also facilitate future work with the planning and design when information about a track environment is needed

    Future Swedish 3D City Models—Specifications, Test Data, and Evaluation

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    Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources. In this study, we describe the development of a new Swedish specification for 3D city models, denoted as 3CIM, which is a joint effort between the three largest cities in Sweden—Stockholm, Gothenburg, and Malmö. Technically, 3CIM is an extension of the OGC standard CityGML 2.0, implemented as an application domain extension (ADE). The ADE is semantically thin, mainly extending CityGML 2.0 to harmonise with national standards; in contrast, 3CIM is mainly based on linkages to external databases, registers, and operational systems for the semantic part. The current version, 3CIM 1.0, includes various themes, including Bridge, Building, Utility, City Furniture, Transportation, Tunnel, Vegetation, and Water. Three test areas were created with 3CIM data, one in each city. These data were evaluated in several use-cases, including visualisation as well as daylight, noise, and flooding simulations. The conclusion from these use-cases is that the 3CIM data, together with the linked external data sources, allow for the inclusion of the necessary information for the visualisation and simulations, but extract, transform, and load (ETL) processes are required to tailor the input data. The next step is to implement 3CIM within the three cities, which will entail several challenges, as discussed at the end of the paper

    Future Swedish 3D City Models : Specifications, Test Data, and Evaluation

    No full text
    Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources. In this study, we describe the development of a new Swedish specification for 3D city models, denoted as 3CIM, which is a joint effort between the three largest cities in Sweden—Stockholm, Gothenburg, and Malmö. Technically, 3CIM is an extension of the OGC standard CityGML 2.0, implemented as an application domain extension (ADE). The ADE is semantically thin, mainly extending CityGML 2.0 to harmonise with national standards; in contrast, 3CIM is mainly based on linkages to external databases, registers, and operational systems for the semantic part. The current version, 3CIM 1.0, includes various themes, including Bridge, Building, Utility, City Furniture, Transportation, Tunnel, Vegetation, and Water. Three test areas were created with 3CIM data, one in each city. These data were evaluated in several use-cases, including visualisation as well as daylight, noise, and flooding simulations. The conclusion from these use-cases is that the 3CIM data, together with the linked external data sources, allow for the inclusion of the necessary information for the visualisation and simulations, but extract, transform, and load (ETL) processes are required to tailor the input data. The next step is to implement 3CIM within the three cities, which will entail several challenges, as discussed at the end of the paper
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