Fueled by developments in the internet of things (IoT), big data, artificial intelligence, cloud computing, and digital reality technologies, the recent arrival of digital twins heralds a tipping point where the physical and digital worlds can be managed as one, and we can interact with the digital counterpart of physical things much like we would the things themselves, even in 3D space around us.
Logistics companies rely on the intelligence of digital twins to optimize their supply chain. These are detailed virtual images of the entire logistics. The technology has its origins particularly in the planning of new logistics systems. The digital twin now accompanies many logistics systems over their entire life cycle - from planning and construction to operation of the warehouse.
The concept of the human digital twin, on the other hand, is not yet widely used in industry and intralogistics. The Human Digital Twin is the digital image of a person. Transferred to logistics, the human digital twin represents the warehouse employee in their daily work, reports Picavi .
An example of this would be the order picker: All actions relevant to his tasks are reproduced in the Human Digital Twin. This includes, for example, transport routes and times, scans, and its movements. This information is brought together with important operating parameters, such as WLAN strength, and the resources in the warehouse. This creates a true-to-detail virtual image of the employee, which is continuously improved using real sensor data.
Picavi is currently developing the Human Digital Twin, which focuses on virtual employee support instead of supply chain and machine data.
In logistics and in the supply chain. the human digital twins offer numerous advantages. They are created on the basis of real process data and thus ensure a much more realistic and better understanding of the process. Errors and optimization potential are revealed on the basis of objective data. The protected framework allows for tests before implementation in the real world. This proactively minimizes the risk of failures or downtimes in the logistics process. The training of new employees is also simplified with the human digital twin. The training is based on digital experience.
In order to receive a virtual image of the employee in the warehouse, logistics companies have to collect and use the data that is generated directly in the relevant process. “This is very easy to implement these days with many wearables,” explains Carsten Funke, Chief Sales Officer at Picavi. “It is important to be able to classify the data correctly. This requires an intelligent and intuitively operable tool. "
Recent advancement in remote sensing technologies allows highly accurate gesture recognition capabilities through RF and mm Wave radar, ambient light, cameras and image processing, sound and wearable devices. Along with the faster communication in the IoT, such technological developments in gesture training and control will be crucial in developing more robust digital twin systems.
Picavi wants to make the data generated in the logistics process usable with its business intelligence solution "Picavi Cockpit". The analytics feature integrated in it sees itself as a central point for collecting, aggregating, and visualizing all important information. The data is recorded directly by the sensors integrated into the pick-by-vision smart glasses and continuously updated.
With the Mobile Device Management in the Picavi Cockpit, the entire fleet of smart glasses can be economically controlled and managed. In this way, you can ensure the functionality of the smart glasses with minimal effort.