“As more companies seek to leverage the power of digital twins for their operations, edge computing will be increasingly important for ensuring data integrity, real-time decision making capabilities, and overall efficiency.” – Edge Industry Review
Digital Twins and Edge Computing
Interest in edge computing and digital twin technologies has been rising steadily over the past 5 years at roughly the same rate. The two are increasingly interconnected in modern digital ecosystems, complimenting each other in significant ways.
What is Digital Twin Technology?
A digital twin is a virtual model that accurately reflects a physical object or system. It’s commonly used in manufacturing for simulation, analysis, and control.
What is Edge Computing?
Edge computing minimizes the need for long-distance communications between client and server by bringing computation and data storage closer to the sources of data.
Real-time data is essential for accurate simulation and analysis in digital twinning. Edge computing enables faster processing of data by reducing latency.
Effective Data Processing
The immediacy of processing and analyzing data directly from IoT devices helps maintain up-to-date and accurate digital twins.
Processing data locally reduces the amount of information that must be transmitted to the cloud. This is relevant for digital twin applications that generate massive amounts of data because it reduces network bandwidth strain.
Local data processing reduces the risk of interception or hacking because sensitive data isn’t transmitted over the network.