With funding support from the Australian Government, AFCA is developing of new technology to improve haulage safety outcomes and to assist forest contracting businesses.
Previous research and preparation of the Forestry Log Haulage Code of Practice (LHC) established the link between load construction, legal requirement for load restraint under the Heavy Vehicle National Law and safety risks with transporting logs.
There is currently no technology in Australia used to assist loaders or drivers with the construction of their load and provide information on whether the load is constructed to meet the crowning requirements as recommended as best practice in the LHC. Also, there is no tool available in Australia that can provide a driver with just in time information about the potential risk of his load causing vehicle and trailer instability and increasing the risk of a potential rollover.
Engistics and other partners have been engaged by AFCA to assist in the development of the following tools in collaboration with the Industry Reference Group (IRG) and broader industry. The project will be carried out in two phases:
Phase 1: Log load crowning tool
Obtain geometry measure of Crowning Angle in the field to allow Drivers and Loaders to understand the potential effectiveness of log restraint in transit.
Utilise technology embedded in Mobile Devices to allow the evaluation of the angle. Reporting system to allow due diligence monitoring of loads.
Mitigation of key risks and safety.
Compliance benefit for users.
NOTE: Phase 2 will commence upon successful completion of phase 1.
Phase 2: Log truck stability tool
Manage risk of vehicle stability in the forest industry.
Improve understanding of vehicle stability at the loading point.
Define and measure log geometry and confirm the centre of gravity of the load at landing location.
Useable technology that scans the log load from the rear of the vehicle and calculates the centre of gravity which will provide an indication of vehicle stability against minimum requirements.
The development of the following tools in collaboration with the Industry Reference Group (IRG) and broader industry will reduce human error factors that may arise from current practices.
The expected completion of the project is June 2023.