How it works
Basically LiDAT combines crane technology and data transfer logic. Big data analytics is where advanced analytic techniques operate on big data.
The online work cycle detection on the crane records specific values during the crane operation.
1. Recording
The online work cycle detection on the crane records specific values during the crane operation.
Process data are transmitted in real time to the LiDAT server centre, where the analysis is taking place.
2. Transmission
Process data are transmitted in real time to the LiDAT server centre, where the analysis is taking place.
Relevant data/variables are displayed as key performance indicators (KPIs) on any device.
3. Display
Relevant data/variables are displayed as key performance indicators (KPIs) on any device.
The result of the analysis can be fed back to the crane/driver via LiDAT. The results are shown on the operators display.
4. Optimisation
The result of the analysis can be fed back to the crane/driver via LiDAT. The results are shown on the operators display.
Features and benefits
KPIs can be defined by the set of recorded variables and meaningful gadgets.
- Download turnover process reports and machine reports
- KPIs allow for a quick overview about a single machine or a set of machines to decide on further actions
- Monitor your cargo handling process in real time (process visualisation)
- Adding analytical power with in-depth analysis
- Detailed view of variables over time, dependencies and distribution
- Details of the operating condition of machines
- Compare multiple mobile harbour cranes
- Analytical results can be used to create realistic training scenarios on a simulator
- Skill improvements can be shown
- Improve operating skills in a safe environment
- Simulator based training can be monitored
- SmartApp proposes optimisation actions (Position Optimizer)
- Giving the user direct guidelines to improve processes
- Optimisation information can be sent to the crane/driver for immediate action
