Modernization of Transport Management System upon Conveyance of Bulk Goods

Gorshkova, Оksana O.

doi:10.30534/ijeter/2020/08832020

Cited by 3 publications

(2 citation statements)

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“…A neural network-based method for analyzing the nature of car crashes has been proposed in [17]. A system for modernizing the management of bulk goods transportation and logistics was proposed in [18]. A salient feature of the above system is the use of RFID technology to keep an eye on the movement of delivery trucks.…”

Section: Existing Methodsmentioning

confidence: 99%

NodeMCU and IoT-based Safety and Security Ecosystem for Heavy Vehicles

Patwari¹

2020

IJETER

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This paper explains the design and implementation of a safety system for heavy vehicles. A small-scale embedded system based on Node MicroController Unit (NodeMCU) is proposed and prototyped here. Peripherals such as Global Positioning System (GPS) receiver (for location updates), tilt sensor (for accident detection), gas sensor (for alcohol activity detection), RFID tags and reader (to monitor entry and exit of vehicles in restricted areas), a touch sensor (to indicate an emergency) etc., have been used in this system. A major improvement over existing accident alert systems is that the proposed design makes use of ultrasonic sensors to indicate over-height of the vehicles approaching underpasses (tunnels or rail over road bridges) on highways. A sound alarm is triggered if the vehicle's height is more than the entry point of the underpass so that the driver can slow down the vehicle. A working prototype of the overall system has been implemented and tested successfully. The data gathered by all sensors is sent to the cloud using the Message Queuing Telemetry Transport (MQTT) protocol and the user can monitor all the updates using his/her android smartphone.

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Section: Existing Methodsmentioning

confidence: 99%

NodeMCU and IoT-based Safety and Security Ecosystem for Heavy Vehicles

Patwari¹

2020

IJETER

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“…The coal mining project in the Kananai Block area in South Barito Regency, especially surface mining, is a capital-intensive business. Open-pit operational costs require about 50% to be allocated for hauling and loading equipment [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Fleet Management Simulation Using Queuing Theory to Achieve Coal Production Targets

2020

IJETER

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In the match factor, mining activity between the haulers and loader equipment dramatically affects each fleet's production. The purpose of this study is to simulate the sufficient number of transportation uses as an effort to achieve production targets using queuing theory. The research methods are quantitative and descriptive by analyzing the compatibility value of fleet, fleet production capability, queue number, and queue time. The data required is the time of the distribution, the distance from the mining front to the ROM, and the company's speed limit. The results of this research are beneficial to users of the transporter simulation to be applied based on the theory of the queue is six transport units in the Anggrek pit with a compatibility value of 1.01, five transport units in the Dahlia pit with compatibility value 0.98, and five units of transport in the pit Anggrek with compatibility value 1.04. The haulers' recommendations were made by allocating two haulers units from the pit Anggrek to the Pit Dahlia and Kenanga. Each simulation's production capability reached the monthly production target, namely fleet Anggrek of 50,416.45 tons, fleet Dahlia of 32,424.3 tons, and fleet Kenanga of 46,027.8 tons. Based on the study results, the achievement of production targets can be fulfilled by simulating the number of haulers usage and controlling fleet management's compatibility level on each working front.

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