İNŞAAT SEKTÖRÜNDE AKILLI SENSÖR TEKNOLOJİLERİ İLE ÇALIŞAN PERFORMANSININ ÖLÇÜMÜ VE DEĞERLENDİRİLMESİ

Abstract

İnşaat sektörü insanlığın barınma ihtiyacını karşılama amacı ile medeniyetlerin kurulmaya başladığı zamandan günümüze aktif bir sektördür. Bu sektörün geçmişte ve günümüzdeki en önemli sorunlarından biri çalışan performanslarının yönetilmesidir. İnşaat sektörü teknoloji ve akıllı cihaz kullanımları ile sürekli gelişmekte ve dönüşüm geçirmektedir. Bu dönüşümün önemli bir bileşeni, inşaat projelerinde kullanılan akıllı sensörlerdir. Bu çalışma, inşaat sektöründe Raspberry Pi Pico, MPU-6050 Gyro Sensor ve RTC DS1302 zaman modülü gibi akıllı cihazlar kullanılarak çalışan performansının değerlendirilmesini ele almaktadır. Çalışmanın temel odak noktası, inşaat çalışanlarının hareketlerini, fiziksel durumlarını ve çalışma koşullarını izlemek ve analiz etmek için sensörlerin kullanımıdır. MPU-6050, hareket ve eğilme verilerini hassas bir şekilde ölçerken, RTC DS1302 zaman modülü verilerin zaman damgasını oluşturur. Ölçümlenen veriler, Raspberry Pi Pico üzerinden toplanır ve PHP ile MySQL veri tabanına kaydedilir. Veri tabanında saklanan veriler, çalışanların günlük performanslarını analiz etmek için kullanılır. Bu analiz, çalışan verimliliği, güvenlik riskleri ve çalışma koşullarının iyileştirilmesi gibi faktörleri içerir. Sonuçlar, inşaat sektörünün daha verimli, güvenli ve sürdürülebilir bir şekilde yönetilmesine yardımcı olabilir.

Keywords

• Çalışan
• Performans
• İnşaat
• Nesnelerin İnterneti
• Yönetim Bilişim Sistemleri

MEASUREMENT AND EVALUATION OF EMPLOYEE PERFORMANCE USING SMART SENSOR TECHNOLOGIES IN THE CONSTRUCTION SECTOR

Abstract

The construction industry has been a vital sector since the dawn of civilization, driven by humanity's fundamental need for shelter. One of the most significant challenges in this sector, both past and present, is managing employee performance. The construction industry is constantly evolving and transforming through the use of technology and smart devices. A crucial component of this transformation is the use of smart sensors in construction projects. This study evaluates employee performance in the construction sector using smart devices, including the Raspberry Pi Pico, MPU-6050 Gyro Sensor, and RTC DS1302 time module. The primary focus of the study is the use of sensors to monitor and analyze the movements, physical condition, and working conditions of construction workers. The MPU-6050 precisely measures movement and bending data, while the RTC DS1302 time module creates a timestamp of the data. The measured data is collected via the Raspberry Pi Pico and saved to a MySQL database using PHP. The data stored in the database is used to analyze the daily performance of employees. This analysis encompasses factors such as employee productivity, safety risks, and improvements to working conditions. The results can help the construction industry operate more efficiently, safely, and sustainably.

Keywords

• Employee
• Performance
• Construction
• Internet of Things
• Management Information Systems

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