A new design of embedded monitoring system for maintenance and performance monitoring of a cane harvester tractor

Estiko Rijanto; Erik Adiwiguna; Aryo Putro Sadono; Muhammad Hafil Nugraha; Oka Mahendra; Rendra Dwi Firmansyah; Estiko Rijanto; Erik Adiwiguna; Aryo Putro Sadono; Muhammad Hafil Nugraha; Oka Mahendra; Rendra Dwi Firmansyah

doi:10.14203/j.mev.2020.v11.102-110

A new design of embedded monitoring system for maintenance and performance monitoring of a cane harvester tractor

Estiko Rijanto, Erik Adiwiguna, Aryo Putro Sadono, Muhammad Hafil Nugraha, Oka Mahendra, Rendra Dwi Firmansyah

Abstract

In modern sugarcane farms, sugarcane chopper harvesters are becoming widely used. A modern sugarcane chopper harvester is essentially a mechatronic system composed of a tractor and some implements with several electro-hydraulic control systems. Those control systems are controlled by electronic controller units (ECUs). It may fail during harvesting operation due to lack of maintenance, operator's awareness, skill, and field contour. This paper presents a new design of an embedded monitoring system for maintenance and production performance monitoring of a sugarcane chopper harvester in a real-time manner. A prototype of the embedded monitoring system was developed which partially realized the designed system. The experimental result showed that the main computer could communicate with other ECUs using a controller area network (CAN) bus. The dataset from four channels retrieved from the CAN bus represents the real values originating from the temperature sensor simulators. Apart from being sent to the CAN bus, the data are also recorded on a secure digital (SD) Card and sent to the internet of things (IoT) server. In the update time interval testing, the 100 ms interval does not give any error.

10.14203/j.mev.2020.v11.102-110

Keywords

embedded system; cane harvester; electro-hydraulic; control system; tractor maintenance; CAN bus

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References

M. Alencastre-Miranda, J. R. Davidson, R. M. Johnson, and H. Waguespack, H. I. Krebs, "Robotics for sugarcane cultivation: analysis of billet quality using computer vision," IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. -, 2018.

S. Ma, M. Karkee, P. A. Scharf, and Q. Zhang, "Sugarcane harvester technology: a critical review," American Society of Agricultural and Biological Engineers, vol. 30, no. 5, pp. 727-739, 2014.

F. Wang, G. Yang, W. Ke, and S. Ma, "Effect of sugarcane chopper harvester extractor parameters on impurity removal and cane losses," in IFAC-PapersOnLine 51-17 (2018) 292-297, -, 2018.

L. Xu and L. Cai, "Design of double-rows sugarcane harvester control system based on PLC," in 7th International Conference on Education, Management, Computer and Society (EMCS 2017), -, 2017.

P. S. G. Magalhaes and D. G. P. Cerri, "Yield monitoring of sugar cane," Biosystems Engineering, vol. 96, no. 1, pp. 1-6, 2006.

S. K. Pitla, N. Lin, S. A. Shearer, and J. D. Luck, "Use of controller area network (CAN) data to determine field efficiencies of agricultural machinery," Applied Engineering in Agriculture, vol. 30, no. 6, pp. 829-839, 2014.

D. Deurveilher, F. Chiroleu, M. Chanet, J. P. Chanet, and D. Boffety, "ICT for traceability of sugarcane harvesting operations in small farms," CIGR-AgEng. International Conference on Agricultural Engineering, 2012, 6 p. hal-00856762.

O. Yinggang, M. Wegener, Y. Dantong, L. Qingting, Z. Dingke, W. Meimei, and L. Haochun, "Mechanization technology: the key to sugarcane production in China," Int J Agric&BiolEng, vol. 6, no. 1, pp. 1-27, 2013.

N. S. Naik, V. V. Shete, and S. R. Danve, "Precision agriculture robot for seeding function," in Proc. International Conference on Inventive Computation Technologies (ICICT), 2016.

Animesh Srivastava, Aniket Srivastava, V. Yadav, and R. Sood, "A Novel Approach to Low-Cost Plowing Automation Device," in Proc. International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2019.

S. Jadhav and S. Hambarde. “Android based automated irrigation system using raspberry pi,” International Journal of Science and Research (IJSR), vol. 5, pp. 2345–2351, May 2016.

B. R. Jerosheja and C. Mythili, "Solar Powered Automated Multi-Tasking Agricultural Robot," in Proc. International Conference on Innovative Trends in Information Technology (ICITIIT), 2020.

M. K. Patel, H. K. Sahoo, C. S. Kathuria, M. K. Nayak, A. Singla, and C. Ghanshyam, "Navigation control of a mobile robotic system in semi-structured and dynamic environment for controlled dose delivery of pesticides," in Proc. International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15), 2015.

S. Gupta, R. Devsani, S, Katkar, R, Ingale, P. A. Kulkarni, and M. Wyawhare, "IoT Based Multipurpose Agribot with Field Monitoring System," in Proc. International Conference on Industry 4.0 Technology (I4Tech), 2020.

D. S. Rahul, S. K. Sudarshan, K. Meghana, K. N. Nandan, R Kirthana, and P. Sure, "IoT based solar powered Agribot for irrigation and farm monitoring: Agribot for irrigation and farm monitoring," in Proc. International Conference on Inventive Systems and Control (ICISC), 2018.

Amandeep, A. Bhattacharjee, P. Das, D. Basu, S. Roy, S. Ghosh, S. Saha, S. Pain, S. Dey, and T.K. Rana, "Smart farming using IOT," in Proc. IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2017.

A. Z. M. T. Kabir, A. M. Mizan, N. Debnath, A. J. Ta-sin, N. Zinnurayen, and M. T. Haider, "IoT Based Low Cost Smart Indoor Farming Management System Using an Assistant Robot and Mobile App", in Proc. Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 2020.

D. S. Paraforos, G. M. Sharipov, and H. W. Griepentrog, "ISO 11783-compatible industrial sensor and control systems and related research: a review.," Computer and Electronics in Agriculture, vol. 163, no. -, pp. 1-13, 2019.

S. Jankovic, M. Ivkovic, V. Sinik, and D. Kleut, "Management approach based on ISO 11783-10," Journal of Engineering Management and Competitiveness, vol. 2, no. 1, pp. 27-32, 2012.

D. Kortenbruck, H. W. Griepentrog, and D. S. Paraforos, "Machine operation profiles generated from ISO 11783 communication data," Computers and Electronics in Agriculture, vol. 140, no. -, pp. 227-236, 2017.

A. Setiawan, Wahyuddin, and E. Rijanto, “An ICT platform design for traceability and big data analytics of sugarcane harvesting operation,” in Proc. International Conference on Computer, Control, Informatics and its Application, 2019.

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