UK based Select Plant Hire has formed a partnership with MachineMax to develop its fleet telematics and data systems to help improve productivity.
The two companies have developed technology that pulls multiple data from equipment and consolidates it into a single reporting channel. The streamlined solution - which Select claims is unique - will allow its customers, whether on site or via remote access, to monitor data such as wind speed, weight, utilisation and equipment fuel burn, while also providing the capability for customers to track all equipment while on site.
Select says that the ‘tailored approach’ provides relevant data to the onsite team and supports remote users understanding of what is happening on the ground, improving the ability to make decisions in real time and drive efficiencies in equipment use.
Alex Warrington of Select said: "The rapid development of modern technology is pushing the construction industry to become more innovative. At Select Plant Hire we made the decision to digitalise our fleet through Machine Max who have been able to support our ambition to provide teams, on the ground and in the office with immediately accessible, real-time data showing plant performance.”
Shweta Saxena of MachineMax added: “Select Plant Hire has been wonderful to work with, they are a company that is transforming through the use of technology and we are proud to be part of their journey. Working with experts like Ed Jones and Stephen Bradby, who have such a wealth of knowledge on cranes, has allowed us to develop some really pioneering user applications which will deliver huge benefits to their customers and the wider industry.”
Machine Max lead designer Kate Stephen said: “Through our work with Select Plant Hire and Laing O'Rourke, we have been able to increase the depth of data we can surface to sites. We have worked together to model a new idle metric for cranes, which is calculated based on a combination of movement and weight. We are also incorporating contextual factors such as wind speed, enabling greater understanding of the reasons behind productivity of equipment on site.”