CLC (Cellular Lightweight Concrete) brick making process using neural network and extreme learning method based on microcontroller and Visual Studio.Net

D. P. Utomo, B. W. Perdami, A. Pamungkas, M. Syaiin, R. Y. Adhitya, Ii Munadhif, J. Endrasmono, A. Soeprijanto, R. T. Soelistijono

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In today's era the technology development is growing so fast and change the system that was originally manual into a system that all operate completely automated. By automating a production system, the number of product will increase. One of the civil materials industry that still use a lot of manual system is light brick making industry or commonly called as CLC (Cellular Lightweight Concrete) brick. A microcontroller-based light brick manufacturing system needs to be applied to optimize the production. The use of arduino mega 2560 microcontroller as the main control in the mixing automation system on this light brick making device will make it easy to do. This tool measures the weight of sand and cement using HX711 load cell sensors as a mass sensor and flow meter sensor as the required water flow sensor in the mixing process. As an actuator the Selenoid valve is useful as an automatic valve on the hole tube of water and foam, while selenoid door lock is useful as an automatic valve on sand holes, cement and stirring tube. The motor is controlled by H- Bridge Driver Motor IBT arduino. To make the system easier (Human Machine Interface) Visual Studio.Net software is applied to monitor and control the process in CLC brick making. With the prototype of automatic mixing system, the used of microcontroller in light brick making is expected to improve the industrial sectors or light brick manufacture who want to optimize the quality and quantity of its production. Automation on this system also makes all processes run fast and does not require a lot of manpower.

Original languageEnglish
Title of host publication2017 International Symposium on Electronics and Smart Devices, ISESD 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages79-84
Number of pages6
ISBN (Electronic)9781538627785
DOIs
Publication statusPublished - 1 Jul 2017
Event2nd International Symposium on Electronics and Smart Devices, ISESD 2017 - Yogyakarta, Indonesia
Duration: 17 Oct 201719 Oct 2017

Publication series

Name2017 International Symposium on Electronics and Smart Devices, ISESD 2017
Volume2018-January

Conference

Conference2nd International Symposium on Electronics and Smart Devices, ISESD 2017
Country/TerritoryIndonesia
CityYogyakarta
Period17/10/1719/10/17

Keywords

  • Arduino Mega2560
  • CLC (Cellular Lightweight Concrete) Bricks
  • Extreme Learning Machine (ELM)
  • H-Bridge Driver Motor IBT Arduino
  • Load Cell HX711
  • Neural Network (NN)
  • Visual Studio.Net

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