The possibility of incorporating Internet of Things (IoT) technology into intelligent mining trucks to facilitate independent haulage and line operation in mining operations. There is a growing interest in planting autonomous cars and advanced data analytics results tooptimize mining operations. This interest is a direct result of the increasing demand for efficiency, safety, and sustainability in the mining industry. Intelligent mining trucks can collect and analyze real-time data on vehicle performance, environmental conditions, and functional factors by utilizing Internet of Things (IoT) detectors, communication networks, and powerful computing platforms through the use of these technologies. Within the context of mining operations, this enables independent decision-making regarding wood, route optimization, and prophetic conservation, all of which contribute to increased productivity and safety. This study explores the key elements and functionalities of intelligent mining vehicles, discusses the obstacles of perpetration, and evaluates the implicit benefits and counteraccusations for mining diligence. This is accomplished through a review of the existing literature and case studies. In addition, brand new routes for exploration and practical implementation are being presented to hasten the abandonment of intelligent mining vehicles and to propel innovation in mining operations.


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    Titel :

    Intelligent Mining Vehicles: Autonomous Haulage and Fleet Management with IoT


    Beteiligte:


    Erscheinungsdatum :

    27.03.2025


    Format / Umfang :

    432425 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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