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Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas

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Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas

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dc.contributor.author Bechert, Steffen es_ES
dc.contributor.author Schlienkamp, Andreas es_ES
dc.contributor.author Spreckels, Volker es_ES
dc.date.accessioned 2023-03-02T14:08:26Z
dc.date.available 2023-03-02T14:08:26Z
dc.date.issued 2023-01-27
dc.identifier.isbn 9788490489796
dc.identifier.uri http://hdl.handle.net/10251/192245
dc.description.abstract [EN] Over decades RAG has collected spatial data from different sensors for the purpose of monitoring and analyzing ground movement caused by underground hard coal mining activities. With monitoring scopes from small objects, like delicate industrial installations surveyed by geometric leveling, to wide area observation by radar satellites, data was stored in several systems. Since there is still ground movement caused by the controlled flooding of former underground mine buildings, RAG will continue surveying the surface and collecting deformation data. To handle and analyse this deformation data and to create a value-adding application RAG cooperated with the company Atos to design Geomonplus. The following main requirements were identified at the start: To store data from different databases with different structures as well as current and future geodetic data sources, the data model needs to have a generic structure. The chosen platform needs to be future-oriented and should be established within RAG. The application also should be integrated into RAG’s spatial data infrastructure. The ground movement information needs to find its way into an internal web service to reduce expert’s workload and to share insights and expertise. This paper presents the main functions of the newly developed solution for experts as an extension for Esri ArcGIS Pro as well as web service tools for non-experts. Furthermore, some time series examples of leveling data in combination with satellite-based PSI and GNSS evaluations are illustrated. Finally, an outlook on plans to add more time series data such as ground water levels, mine water levels or weather data into the internal web service, is outlined. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 5th Joint International Symposium on Deformation Monitoring (JISDM 2022)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Ground movement monitoring es_ES
dc.subject Spatial data application es_ES
dc.subject Time series analysis es_ES
dc.subject Web service es_ES
dc.subject Data democratizing es_ES
dc.title Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Bechert, S.; Schlienkamp, A.; Spreckels, V. (2023). Geomonplus: Application for Storage, Allocation, Exchange, and Visualization of Historical and Actual 4d-Postion-Data within Mining Areas. En 5th Joint International Symposium on Deformation Monitoring (JISDM 2022). Editorial Universitat Politècnica de València. 597-604. http://hdl.handle.net/10251/192245 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename 5th Joint International Symposium on Deformation Monitoring es_ES
dc.relation.conferencedate Junio 20-22, 2022 es_ES
dc.relation.conferenceplace València, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/JISDM/JISDM2022/paper/view/13894 es_ES
dc.description.upvformatpinicio 597 es_ES
dc.description.upvformatpfin 604 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\13894 es_ES


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