Jamaluddin, Muhammad Herman and Mohammed Alshaghdar, Mohammed Eskander and Sabrah, Ala’a Essam (2024) Development of floor evenness measurement system for building architectural quality assessment technology. In: International Conference on Electrical, Computer and Energy Technologies (ICECET 2024), 25-27 July 2024.
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Development of Floor Evenness Measurement System for Building Architectural Quality Assessment Technology.pdf Restricted to Registered users only Download (1MB) |
Abstract
This research aims to develop a sophisticated floor evenness measurement system for the construction industry, addressing the subjectivity, inefficiency, and labour-intensive nature of current methodologies. A mobile robot application is engineered, integrating an ATmega328P microcontroller, MPU6050 gyroscope sensor, and NodeMCU (ESP32) for real- time data visualization on a synchronized dashboard tailored for bricklayers. The MPU6050 sensor's dual functionality, combining acceleration and gyroscope capabilities within a single chip, enhances measurement precision. A complementary filter mitigates noise and drifts, ensuring accurate floor evenness assessment. Adhering to the Malaysian Standard Construction Industry Standard (CIS 7:2014), which specifies floor evenness should not exceed 3mm over 1.2m (0.143 to -0.143 degrees), the system enables continuous monitoring for compliance. Leveraging the Blynk platform, real-time data transmission to a live dashboard empowers prompt intervention in case of deviations. This research successfully creates an innovative mobile robot application for precise floor evenness measurement by amalgamating state-of-the-art sensor technologies with IoT frameworks, presenting an objective, efficient, and technologically empowered paradigm for quality assessment in the construction domain.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | NURHASHIRAH BORHAN |
| Date Deposited: | 27 Jul 2026 01:26 |
| Last Modified: | 27 Jul 2026 01:34 |
| URI: | http://eprints.utem.edu.my/id/eprint/30081 |
| Statistic Details: | View Download Statistic |
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