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CONSTRUCTION EQUIPMENT









































           hazards, improving safety. Other companies use drones to monitor   Autonomous heavy machinery
           work sites throughout the construction process, providing real-time   Recent advances have made autonomous heavy machinery a
           updates to stakeholders. In 2019, researchers at the University   viable option for construction teams. Today, Caterpillar has the
           of Michigan revealed an autonomous drone that can nail roof   world’s largest autonomous fleet of haul trucks – now numbering
           shingles. Since falls are among the most common injury sources   more than 500 machines. In fact, as per the latest news, Caterpillar
           on construction sites, this could revolutionize job site safety.  haul trucks equipped with Cat MineStar Command for hauling
           In one of his research papers, Prof. Dr.-Ing. Marcus Geimer, Head   have autonomously moved more than 5 billion tons of material.
           – Mobile Machinery section, Karlsruhe Institute of Technology   According to VTT Research, autonomous vehicles and machinery
           (KIT), stated that in mining site and construction site, there is a   are perfect for monotonous tasks that humans resent. Machines
           high demand for the highly automated and coordinated fleet   are also not restricted by working hours acts or rough weather
           management from both economic and safety views. Furthermore,   conditions. They can work with hazardous or toxic materials and
           since the machines usually operate in a closed area at slower   in environments harmful to humans. A good example is a mine
           speeds and untrained pedestrians are already kept out of the   right after explosives have been used. Using autonomous vehicles
           construction site, it is easier and safer to automate their driving.   and machinery in situations like this can turn previously unprofitable
           The unmanned construction and mining site brings enormous   ventures into profitable projects. The coexistence of autonomous
           benefits regarding safety, productivity, and labor perspective.   vehicles with humans is the next step in automation. Once we
           Currently, because of a lack of cooperation between individual   can safely remove the fences that currently separate humans and
           machines, heavy machines waste a lot of time waiting for each   autonomous machines, automation becomes more affordable,
           other, resulting in low overall productivity. With the smart working   and maintenance is easier. Enabling human workers to focus on
           site, the whole fleet is managed and dispatched without jams or   more value-adding tasks instead of driving is the future. This, in turn,
           collisions, and construction productivity is improved holistically. The   should improve employee well-being and satisfaction.
           enhanced productivity does contribute to reducing construction
           time and has remarkable economic benefits, e.g., to reduce the   Emissions Or Electric
           leasing cost of construction machines and the loan interest paid   An IDTechEx research had revealed some startling stats…
           due to shorter rental contract.                     Construction machines are responsible for around 400 Mt of CO2
           Talking about labor safety, he elaborated that since drivers are   emission annually, which is around 1.1% of global CO2 emission.
           asked to relocate to remote locations and know how to drive on   Decarbonisation of the construction industry will be a key element
           difficult terrains on construction sites, there are high training and   of countries meeting their Paris agreement commitments, and
           labor costs for skilled drivers. Unmanned construction and mining   electric construction vehicles will play an important role in this. While
           sites can further reduce the labor cost.            the off-road electric construction vehicle market is at a much earlier


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