A Low-Cost System for Monitoring Tower Crane Productivity Cycles Combining Inertial Measurement Units, Load Cells and Lora Networks

Carmona, Alejandra; Chaparro, Ana I.; Pardo, Susana; Velásquez, Ricardo Manuel Arias; Botero-Valencia, Juan S.; Castano-Londono, Luis; Márquez-Viloria, David; Botero, Cristóbal; Mesa, Ana M.

doi:10.1007/978-3-030-00220-6_81

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Therefore, this sensor is still acceptable to explain and estimate the weight of the material in the weighing basket. It is in line with the results of the study of Carmona et al [25], who obtained the results of the calibration of the load cell sensor with a maximum load measurement range of 500 kg. This calibration als o uses root mean square error (RMSE) to determine errors from the sensor estimation.…”

Section: Management Of Load Cell Signal Output 321 Calibration System For Moisture Measurementsupporting

confidence: 91%

Non-invasive moisture content measurement system based on the ESP8266 microcontroller

Sitorus¹,

Novrinaldi²,

Bulan³

2020

Bulletin EEI

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Moisture content in the process of drying is often unknown when carrying out the drying process, especially the fluidized dryer. A lot of experimental designs are needed when observing the drying phenomenon more deeply. It is because to stop and repeat drying process from the beginning again when the sample is taken to test its moisture content needed more experiments. Therefore, this paper presents development of a non-intrusive moisture measurement system prepared for fluidization type dryers. The method used in to conduct this research consists of (i) structural design analysis and (ii) functional (mechanical and electrical systems) and (iii) simple testing of the water content measurement system of constructed material. Test parameters observed include errors in measuring and fluctuating sensor signals against vibration applied to the weighing system. The results showed that non-intrusive moisture content measurement system for fluidized dryers based on the ESP8266 microcontroller had been successfully developed and worked normally. The measurement system has been calibrated with a coefficient of determination (R2) close to one. Measurement error resulting from the effect of vibration on this system shows a very satisfactory value of 6.89%.

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Section: Management Of Load Cell Signal Output 321 Calibration System For Moisture Measurementsupporting

confidence: 91%

Non-invasive moisture content measurement system based on the ESP8266 microcontroller

Sitorus¹,

Novrinaldi²,

Bulan³

2020

Bulletin EEI

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“…While the other researchers are focusing on improving the LoRa protocol [20]-[23]. Carmona et al [24] developed a low-cost system for monitoring tower cranes using LoRa, however; the monitoring system is controlled through a website where it has limitations in terms of mobility. Another project developed by [25] proposed a wireless system to monitor and manage the tower crane to control the cranes efficiently and safely.…”

Section: Introductionmentioning

confidence: 99%

Crane monitoring system based on internet of things using long range

Jun

Hashim

Idris

et al. 2023

IJECE

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<span lang="EN-US">The four main causes of crane accidents are overturned, falls, mechanical failure, and contact with power lines. It is important to keep track of the crane’s health and condition as it is always too late when a failure of the crane was found. Any abrupt accidents will interrupt or delay the work progress and cause the operational costs to increase. Crane monitoring system is developed using long range (LoRa) technology due to its long range of detections making it suitable for monitoring machines that require large space including the dock area. It also consumes low power and is suitable for battery-operated systems. This paper discusses the design and development crane monitoring system using Arduino Uno together with NodeMCU ESP8266 as the hardware for this project. Temperature, power consumption, lifting activities, and total operating hours will be measured using appropriate sensors. The data will then be sent to the database where users can monitor each crane from a developed Android application using a mobile phone. This project allows users to view, monitor, and analyze real-time or past data in a graph or table view. Experimental results prove the proposed system is applicable and effective.</span>

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Low-cost IoT-Based sensors dashboard for monitoring the state of health of mobile harbor cranes: Hardware and software description

Awad,

Alsabaan,

Ibrahem

et al. 2024

Heliyon

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A Low-Cost System for Monitoring Tower Crane Productivity Cycles Combining Inertial Measurement Units, Load Cells and Lora Networks

Cited by 4 publications

References 9 publications

Non-invasive moisture content measurement system based on the ESP8266 microcontroller

Non-invasive moisture content measurement system based on the ESP8266 microcontroller

Crane monitoring system based on internet of things using long range

Low-cost IoT-Based sensors dashboard for monitoring the state of health of mobile harbor cranes: Hardware and software description

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