The acquisition of geoinformation and the use of geographic information systems (GISs) involves the collection, processing, and analysis of spatial data on real objects and their surroundings. GIS is used in the creation of a digital twin to accurately map objects in a spatial context, enabling a full understanding of their interaction with the surroundings and the simulation of a variety of scenarios depending on environmental variables.
Geoinformation Acquisition and GIS Utilization in Digital Twin Creation
Type of technology
Description of the technology
Basic elements
- Geoinformation: Spatial data, such as geographic coordinates, terrain, and hydrology.
- GIS: Software for storing, analysing and visualising spatial data.
- Geoinformation sensors: Measurement equipment for acquiring field data, such as LIDAR.
- Digital maps: Digital representations of objects and their surroundings.
- Data management systems: Tools for storing and organising large spatial data sets.
Industry usage
- Urban planning: Creating spatial models of cities for development planning.
- Infrastructure management: Monitoring the technical condition of bridges, roads, and tunnels.
- Environmental protection: Assessing the impact of climate change on agricultural and forest lands.
- Crisis management: Flood risk analysis and emergency planning.
- Logistics: Transport route optimisation based on spatial data.
Importance for the economy
The acquisition of geoinformation and its use in the creation of a digital twin are of vital importance to the construction, urban planning, and environmental sector. Spatial data enables precise infrastructure planning, environmental risk analysis, and optimisation of natural resource management. In the logistics and transport sector, GIS enables route optimisation and vehicle flow management.
Related technologies
Mechanism of action
- GISs combine spatial data, such as geographic coordinates, with information about real objects to create digital maps and 3D models. Data can come from satellites, drones, LIDAR sensors, and GPSs. In the context of a digital twin, GIS is used to create accurate three-dimensional models that map the interactions between various objects and their surroundings. In the process of updating the digital twin, GIS data is continuously integrated to reflect changes in the environment.
Advantages
- Accuracy: Precise representation of real objects in spatial context.
- Infrastructure optimisation: Better planning and management of urban and transport infrastructure.
- Scenario simulation: Analysis of the impact of environmental changes on infrastructure.
- Real-time monitoring: Continuous updates on environmental conditions.
- Risk management: Disaster risk assessment.
Disadvantages
- High costs of data acquisition: Significant financial investment in measurement equipment and technology.
- Data quality issues: Incorrect data can lead to incorrect simulations.
- Complexity of integration: Difficulties in integrating geoinformation with other data.
- Data security: Risk of leakage of geoinformation data on critical infrastructure.
- Lack of standardisation: Compatibility issues between different GISs.
Implementation of the technology
Required resources
- Geoinformation sensors: LIDAR, GPS, satellites, and drones.
- Data management systems: Tools for storing and processing spatial data.
- GIS software: Geographic data analysis and visualisation tools.
- Computing servers: High-performance servers for processing large spatial data sets.
- Geoinformation specialists: Experts in spatial data analysis and management.
Required competences
- Spatial data management: Ability to process and analyse GIS data.
- Cartography: Knowledge of methods for creating digital maps and 3D models.
- Systems engineering: Design and implementation of spatial data management solutions.
- Programming: Developing applications for GIS data processing and visualisation.
- Cybersecurity: Protecting spatial data from attacks.
Environmental aspects
- Emissions of pollutants: Emissions from the operation of measurement and computing equipment.
- Raw material consumption: High demand for specialised measurement equipment.
- Recycling: Problems with recovering materials from advanced measuring devices.
- Energy consumption: High energy demand of analytical systems.
- Waste generated: Problems with disposal of obsolete geoinformation equipment.
Legal conditions
- Spatial data protection: Regulations for processing and sharing geoinformation.
- Industry regulations: Standards for GIS data acquisition and processing.
- Intellectual property: Patents for measurement technology and GIS software.
- Data security: Regulations for the protection of strategic spatial data.
- Industry standards: Standards for quality and accuracy of GIS data.