MachineMax and integration partner PLINX have recently announced that funding has been approved for a new initiative. Project Ignition will use data driven decision making to deliver improvements in efficiency, sustainability, safety and compliance, targeting savings in excess of £1.1m.
Project Ignition is a unique solution that aims to deliver a step change in how people and plant are managed on construction and infrastructure projects. It combines cutting edge sensor technology from PLINX with the advanced analytic platform of MachineMax to capture and standardise data from plant, equipment and site staff to help reduce id ling and CO2 emissions and improve safety and compliance. Reporting from the MachineMax platform will encourage the timely review of data and empower site teams to take action in response to reports and alerts.
The first phase of the two-year project is underway and will see one hundred PLINX sensors fitted to plant from UK hirers Flannery, Lynch and M O’Brien Plant Hire, which will capture data such as throttle response, location and motion information so we can better understand what vehicles are doing on site.
This data will be transmitted to the MachineMax platform where it will be analysed and presented in a standardised format, providing real time insights that can help identify improvements in safety and efficiency across the project.
Through plant utilisation improvements, phase one aims to save over £550,000 per year and reducing idling by a further 7% which will in turn reduce CO2 emissions and fuel consumption.
The second phase of the project – which will begin later next year - will introduce 350 wearable hardhat sensors. These will work alongside the plant sensors and will identify safety zones to improve segregation of workers from hazards, helping to proactively manage hazardous interfaces.
Phase two aims to make safety improvements through improved insight into safety risks. The technology can help manage speed limits and eliminate unauthorised access to ecological exclusion or restricted areas by detecting when people or plant enter the identified safety zones. This will also help reduce risks such as falls from height, overhead lifting incidents and people and plant collisions.
