Comprehensive IoT-Driven Fleet Management System for Industrial Vehicles

Abstract

In fleet management, various challenges, including equipment breakdowns, rising maintenance costs, inefficient resource utilization, and outdated telematics systems, require a transformative approach. Traditional telematics systems encounter limitations such as closed compatibility with specific brands, unique network protocols, and insufficient data analysis and decision-making support. Therefore, these challenges can be addressed by using IoT-driven solutions. This paper introduces an IoT-driven system called the “intelligent dispatching and health monitoring system” (IDHMS), which is designed to enhance fleet operations in industries such as mining, construction, and agriculture while addressing issues related to legacy telematics systems. The architecture of the IDHMS is a comprehensive IoT-driven framework that integrates embedded hardware, cloud-based software, and flexible network infrastructure. This system facilitates real-time communication, gathering and analysis of data, and decision-making for fleet management in such industries. The IDHMS addresses the limitations of conventional telematics systems by offering standardized protocols, open APIs, robust security measures, comprehensive data analytics capabilities, and a multipurpose ecosystem. These data-driven insights empower informed decision-making, drive continuous improvement, and enable strategic resource allocation for cost reduction, increased productivity, and competitiveness in dynamic industries. The practical implementation of the IDHMS in significant Middle Eastern mines underscores its compatibility with multiple brands, scalability, and potential adoption in various industries.

Keywords

• Cloud computing
• embedded systems
• fleet management
• IoT
• telematics