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Threats in IoT Supply Chain
Published in Stavros Shiaeles, Nicholas Kolokotronis, Internet of Things, Threats, Landscape, and Countermeasures, 2021
S. A. Kumar, G. Mahesh, Chikkade K. Marigowda
The features of the fleet management system presented in the paper are vehicle maintenance, multiple shipments tracking, vehicle telematics and speed management, driver management, health and safety management, and fuel management. The technologies employed for the proposed system include IoT (Watson IoT), Heroku for Cloud computing, OpenCV for computer vision, and other Machine Learning and Deep Learning (CNN) techniques. Sensors such as DHT-11 temperature and humidity sensor, reed switch sensor, LDR sensor, etc., were used with Raspberry Pi 3 model and MQTT protocol, various APIs, etc. The challenges that are addressed by the system proposed are driver behavior and safety, efficiency and fuel costs of vehicles, tracking of fleet to prevent theft, and detection of fake insurance claims by customers. The driver behavior and safety are ensured by the system by authenticating the driver and keeping track of his driving patterns, while the trucks are continuously monitored to prevent theft or anomalies in vehicle health. The challenges with respect to efficiency and fuel costs are solved by considering factors such as speed, idle wait time, and distance covered with cruise control in comparison with fuel consumption and driving and truck and driver recommendation modules were developed [21].
Modular Systems in Coal Industry
Published in Yatish T. Shah, Modular Systems for Energy and Fuel Recovery and Conversion, 2019
Modular was founded in Tucson, Arizona, in 1979 [2]. Over the next 2 years, Modular developed and successfully implemented the DISPATCH system, a computerized fleet management system designed to optimize haul truck assignments to loading and dumping points in an open-pit mine and to produce operating reports during the shift. Following the DISPATCH system’s development, Modular has gone on to create a number of other software and hardware products that seek to improve different areas of mine operations. Today, Modular is a wholly owned Komatsu (Japan) subsidiary.
Smart Zero-Waste Tracking System
Published in Atiq Zaman, Tahmina Ahsan, Zero-Waste, 2019
The GPS-equipped waste collection truck has been used in many developed countries for an effective and efficient fleet management system. Integrating the imaging and weighing technology will enable us to assess the waste characteristics in realtime to make better decisions in determining the fate of the waste (recycling vs. disposal).
Development of an intervention program to reduce whole-body vibration exposure based on occupational and individual determinants among dumper operators
Published in International Journal of Occupational Safety and Ergonomics, 2023
Rahul Upadhyay, Amrites Senapati, Kenora Chau, Ashis Bhattacherjee, Aditya Kumar Patra, Nearkasen Chau
The sensors were first mounted; the accelerometer was put on the seat surface and its position was adjusted to make sure the axes were oriented correctly. To prevent relative displacement between the sensor and seat surface, it was mounted magnetically or with adhesive tape. Furthermore, the GPS was mounted on the dashboard of the driver’s cabin and data were recorded and monitored continuously in real time using a fleet management system. Second, the measurement with both sensors started simultaneously. During the measurements, the subject remained seated and did not lose contact with the seat surface (the subject was instructed and supervised not to get up from the seat just to ensure that the exposure did not include abnormal acceleration data measured during the loss of contact). Moreover, the entire operation of a driver was video recorded. Video records allowed the identification of different types of time artifacts. If there was a significant anomaly in the recorded test data, the experiment was carried out again. The test was performed several times for each subject (six times) to reduce random errors. Furthermore, the data were thoroughly inspected, and abnormal data were cross-checked to determine whether they represented an artifact or a natural feature of the task. Data recorded due to artifacts were removed from the WBV exposure dataset.
Cloud-based fleet management for prefabrication transportation
Published in Enterprise Information Systems, 2019
Gangyan Xu, Ming Li, Lizi Luo, Chun-Hsien Chen, George Q. Huang
Firstly, compared with traditional method, TMSS greatly decreases the cost for transportation companies to use the IoT system. According to our investigations, it would cost over $70,000 to customize a fleet management system from 3rd party companies with more than three months’ lead time. However, through TMSS, Yingyun only needs to pay the platform about $750 per year for rich up-to-date fleet management services, and could begin to use the platform once paid and registered. Meanwhile, in our case, the extra hardware investment (RFID tags for tractors and trailers) for Yingyun is less than $5.