Digital twin technology is a powerful tool for improving the efficiency and effectiveness of industrial processes. A digital twin is a virtual replica of a physical system or asset, which can simulate, analyze, and optimize its behavior in real time. Digital twins have the potential to revolutionize the way that industries operate, by providing insights and solutions to complex problems that were previously difficult or impossible to solve. In this post, we will explore the concept of digital twins and how Webee's software's newest release is helping businesses create, visualize, and monitor their digital twins.
What are Digital Twins?
Digital twins are virtual representations of physical assets, systems, or processes. They are created using data from sensors, cameras, and other sources of information that capture the real-time performance of the physical asset.
For example, a digital twin of a wind turbine can be used to simulate its behavior under different wind conditions, to optimize its efficiency, and minimize downtime. A digital twin of a manufacturing process can be used to simulate the impact of different variables on the quality of the product, to identify bottlenecks and inefficiencies in the process, and to optimize the use of resources.
Digital Twins in Webee's platform
Taking the wind turbine example, you’ll be able to see how quick and simple it is to create, visualize and set alerts for any asset inside of our software. Take a look at the 2-minute video that shows you the end-to-end process.
How to create Digital Twins in Webee's platform:
Step 1: Creating the Asset and its basic information
To create a new asset, simply click on the “create new asset” button and fill in the basic details as shown:
- Asset Name: V150 6.0MW IEC-S
- Asset Type: Wind Turbine
- Asset ID: WTZ01-08-6MW
Step 2: Setting up the asset’s key attributes
Here’s where we’ll define the key variables that will compose our digital twin. In this case, we’ll be monitoring Engine Temperature (ºC), Acceleration (X,Y,Z in m/S), Ambient Temperature (ºC), Ambient Humidity (%RH), and Smoke Detection (Obscuration/meter).
Step 3: Defining Data Sources
Each of the asset’s variables can come from a plethora of sources. For our use case, we will gather the data from three LoRaWAN sensors:
- Engine Temperature and Acceleration sensor
- Ambient Temperature and Humidity sensor
- Smoke Detection sensor
Step 4: Defining normal operating parameters
Once our sensors and units of measurement have been properly set up, we can quickly establish minimum/maximum operating thresholds for each variable. In this case:
- Operating Environmental Temperature: -20 / +45ºC
- Operating Environmental Humidity: < 97%
- Acceleration: 3-25 m/s
- Engine Surface Temp: < 55ºC
- Smoke Detection: 15.5% obs/m OR temp > 60ºC
Step 5: Customizing data visualization
With everything set up, a variety of visualization options are available for each variable such as different kinds of charts (line, bar, pie) as well as badges and historical log components that are readily available out of the box.
Step 6: Creating alerts
Creating alerts that can be sent out via SMS, Email or HTTP is a breeze. Set up triggers with just a few clicks and begin sending out alerts to any stakeholder immediately.
Ready to get started with Digital Twins?
With Webee's software, businesses can optimize performance, reduce costs, improve safety, and enhance productivity, unlocking the full potential of digital twin technology. Our team of experts is always ready to tackle the greatest challenges in the industry. Reach out to us for a demo today.
