The international renewable energy agency (IRENA) forecast that the wind industry will grow at an exponential rate in the coming decades. This enormous growth has created the need and demand for qualified workforce which includes engineers, technicians, and managers in the wind energy sector. Thus, the wind energy training sector needs to implement some innovative technologies in both safety and technical trainings to meet the growing industry demands and to create a qualified workforce. However, before finalizing on any innovative solution for safety training, the challenges that the wind energy training sector faces need to be analyzed. The biggest challenges for the wind energy training sector is to train the workers to work safely with large scale wind turbine structure and its components, working safely with high voltage and working in harsh marine environments. Wind power workers are often exposed to hazards that can result in fatalities or serious injuries due to these challenges. Therefore, the implemented innovative technology must ensure safety and improve efficiency of operations by being aware of the risks associated. However, the wind energy training sector is searching for cost effective solution especially related to remote training, when the technician is not able to attend the training physically. Moreover, the wind energy training sector is also looking for technology that can reduce human error and also reduce cognitive workload.
Therefore, the use of innovative technology like mixed reality (MR) might provide potential benefits.MR includes the use of both the virtual reality (VR) which is a simulated immersive experience and the use of augmented reality (AR) which allows the person to see the real world, additionally overlaid with digital graphics and information in real time. However, there is a lack of clarity on how to effectively design mixed reality technologies in safety training of wind sector. There are technical challenges and gaps to identify the suitable hardware platform, suitable software platform and the associated tracking techniques.
The purpose of this thesis is to develop: (1) the workflow, (2) the framework which will help to design mixed reality technologies in safety training of wind sector. Also to develop, (3) flowchart and (4) worksheet which will help to identify the critical training modules/scenarios and to identify the suitable type of technology (AR/VR/MR) needed for a particular scenario along with the suitable hardware platform, suitable software platform and associated tracking technique. Finally, to develop (5) demo MR model to demonstrate and validate the developed workflow and to understand the associated practical challenges like complexity of such mixed reality technologies and user familiarity.
In order to achieve the purpose of this thesis, a six-step methodology was applied which includes: (1) system analysis, (2) use case analysis, (3) conceptualize, (4) computerize, (5) construct and (6) verify, validate and visualize. The case study started with system analysis which mainly deals with extracting the industrial needs and requirements. The system analysis includes two sub steps. First, is to perform a detailed systematic literature review (SLR) to understand the state of art in VR/AR/MR in the wind industry and other relevant industry. Second, an empirical exploration were the author attended a 5day GWO wind safety training at the Eigersund energy hub to personally experience and understand the training scenarios which will be crucial and beneficial to have a mixed reality application from both technician and company perspective. The use case analysis deals with the creation of the case context which includes selecting the critical training module based on accident data from literature review and to identify one similar framework in other engineering industry. The conceptualize step involves in classifying the selected critical module into training tasks and to identity the risk associated with each training tasks. It also involves in performing the concept study before building the MR model and to develop the scenario modelling chart. The computerize step involves in developing the actual 3D model and the demo MR model. The construct step involves the creation of the flowchart, worksheet, workflow and the framework and the sixth step is to validate and verify the research outputs.
Consequently, as the result of the six-step methodology this thesis has provided new knowledge regarding four concepts: (1) sequence or workflow (2) the need for continuous and iterative process to design mixed reality (3) the logic and the rules for the selection of technical specifications (4) worksheet to classify the scenarios and to define training complexity.
The thesis concludes that the safety training provider needs to rigorously follow the developed (1) mixed reality analysis (MRA) workflow, (2) mixed reality analysis (MRA) framework, (3) mixed reality technical specification (MRTS) flowchart and the (4) mixed reality technical specification (MRTS) worksheet. The MRA workflow provides the sequence that can enable the industrial practitioner to design MR application in a cost-effective and fit for purpose manner which includes screening out low risk scenarios. The MRA framework clearly indicates that the design to implement MR is an iterative process based on user needs and user level of familiarity. The MRTS flowchart provides the logic to identify the suitable type of technology for a particular scenario, along with the suitable hardware platform, suitable software platform and associated tracking technique. The MRTS flowchart must be used along with the MRTS worksheet which can help to identify the critical training modules/scenarios and further classify them to check if implementation of mixed realities is needed or not.
In future, the complexity associated with such technologies must be studied after implementing in real-time. Based on the case study AR/VR should be designed to make work simpler and error free. However, in some cases if using the technology is creating unintended consequences and complexity, then the technology might not be used in such cases
