The data fed into smart city systems is geospatial. The information needs to be associated with positional coordinates in order to gain actionable insights and enable the right decisions to be made. Our capture and modelling services help to create the 3D digital world upon which smart city information is layered. Our real-time monitoring data is used to reduce the impact of construction activity on the quality of life of neighbouring residents. There are so many future applications of real-time geospatial data to help optimise the performance of our built environment. Murphy Geospatial will continue evolving to support smart city initiatives into the future.
A smart city uses digitised information to optimise the performance of its systems and services. Historical and real-time data can be used to model and predict demands on energy use, transportation, waste disposal and utilities to effectively plan and operate the infrastructure needed to support these systems. Leveraging the power of information and communication technology (ICT) enables the use of real-time sensory data to populate dashboards and alert city managers to emerging problems. Furthermore, the analysis of historical data supplements the decision support tools used to optimise the performance of our cities into the future, reducing consumption of raw materials, energy use, waste and costs. This supports the sustainability of our cities as we face the uncertainty posed by climate change.