This research will provide evidence of the extent of the problem of overweight and obesity within the NSW coal mining industry. It will provide information on the current situation with regards to the management of overweight and obesity within the NSW Coal Mining industry at a site level, with an understanding of what weight management initiatives have been trialled, how these have been received by employees, how they have been evaluated and measured and what outcomes have been achieved at a site level.
This research will provide valuable information about the challenges and benefits of current weight management initiatives within the NSW Coal Mining industry. This will inform implementation of appropriate programs, with a shift from an ad hoc site by site approach to engagement of key stakeholders in developing a coordinated, comprehensive, industry wide approach to the management of overweight and obesity in the future.
The expected results of the proposed project include a prognostic software package which can be used for the automatic mass diagnostic screening of chest X-ray radiographs to detect, evaluate and monitor pneumoconiosis. Given the black lung can continue to progress after coal dust exposure ceases and severe symptoms can emerge up to 15 years later, early detection and tracking the progress of pneumoconiosis are important for taking measures and precautions, and treating the complications caused by the disease. It is expected that the results produced from the proposed software package will be comparable to experienced radiologists, thus potentially hastening vital diagnosis and treatment capabilities.
The project will provide valuable information about the challenges and benefits of introducing task rotation within an underground coal mining environment considering the management, supervisor and workers perspective. This information will inform future implementation of task rotation within the coal mining environment.
Guidelines that will surround the project include:
These guidelines form the expectations of the project and can be transferrable across the coal mining industry.
By the end of the project we expect to:
The research will determine whether currently utilised powered air purifying respirators (PAPRs) effectively filter out Diesel Particulate Matter and provide worker protection; by challenging PAPR filters used in mining workplaces with DPM; and by measuring the EC and the sizes of particles that are penetrating the filters to determine whether that poses an additional health risk for workers.
By the end of the project we expect to:
Success of the Mark 1 UAV project would see:
Task 2: Prototype UAV Communication System:
Working closely with the UAV operator in Adelaide, UC will develop a prototype SDR system to allow for UAV communications from above ground monitor stations to the mining face via a UAV deployed node based mesh network that has non-line of sight coverage using COFDM technology. UC will also develop the transmitters and receivers that are mounted on the aircraft.
Task 3: Prototype Demonstration
A demo of the UAV operating in an underground mine using the prototype communications system with 8 battery powered nodes to control the UAV, stream thermal and normal video, and transmit gas sensor data from the UAV back to the surface. The nodes will be small enough to be carried and deployed by the UAV and will provide at least 3 hours of battery life.
Task 4: Routing Algorithm Optimisation
Development of a self-configuring energy efficient routing algorithm for the UAV Communication system will be focused in this task. Data routing is one of the core challenges in the UAV Communication system since the router connectivity may change frequently and latency and dropouts could be catastrophic to the vehicle. The designed routing algorithm must support a multi-hop communication paradigm and provide alternative connections in the event of the failure of current routes.
Task 5: Intrinsically Safe Configuration Design
UC will work with Strata and the Mine Safety Testing Centre (MSTC) to test the prototype UAV communication system, and provide test reports demonstrating and providing independent proof, for compliance with national and international IS standards.
At the completion of the project, CS Health will have demonstrated whether a 30-45 minute musculoskeletal screen can identify risk trends in conjunction with data collected from the Order 41 periodic health surveillance medical. Upon identification of these trends, a targeted intervention can be designed to address the workforce. These results will allow industry to identify training requirements that are associated with specific roles within a mine leading to a reduction in common injuries.
To determine whether currently utilised respirator filters effectively filter out Diesel Particulate Matter and provide worker protection; by testing respirator filters used in mining workplaces against DPM, and by measuring the sizes of particles that are penetrating the filters to determine whether that poses an additional health risk for workers.
This investigation will:
The outcome of the projects will be a comprehensive and detailed description of the whole body vibration exposures associated with the operation of underground coal mining equipment at two exemplar sites.
This project will examine and develop technology that can address information deficiencies following major mine incidents. Information during emergencies is increasingly seen as a critical issue and requirement for emergency response, both in terms of safely committing mines rescuers in high risk situations and also better equipping miners to self-rescue.