شايان محسني پور

Statistics released in the last few decades of the construction industry show the serious physical and psychological injuries to the health of the employees of this industry. For this reason, continuous monitoring of construction workers' health parameters can help to solve the problem. Traditional monitoring methods are being replaced by new monitoring methods such as wearable technologies due to the difficulties, disruption of the work and data errors in traditional methods. On the other hand, productivity enhancement as the main goal of all construction industry projects is influenced by various factors, including factors related to human resources, which can be used to improve productivity by recognizing them. The purpose of this study is to use biosensors in the form of wristbands to eva‎luate the health-related parameters (such as weather conditions, heart rate, and sleep rate and daily activities) of workers and to assess the feasibility of the relationship between these parameters and productivity. In order to investigate the relationship, non-parametric statistical tests were conducted on 12 workers at two different construction sites. Spearman’s rho test results in site 2 indicate the relationship between weather and work parameters with Thomas criteria. WBGT parameter is directly related to Thomas criteria with correlation coefficient of 0.68, and is inversely related to work parameter with correlation coefficient of -0.59 and -0.52. In addition, the humidity is directly related to the work parameter with a correlation coefficient of 0.36 and is inversely related to the Thomas criteria with a correlation coefficient of -0.41. Furthermore, the calories content of individuals is directly related to the work parameter with a correlation coefficient of 0.57 and is inversely related to the Thomas criteria with a correlation coefficient of 0.51. In this way, the accuracy of the health wristband and the collected information is confirmed. Also, the results showed that there is a relationship between weather parameters and heart rate parameters in site 1 and no relationship in site 2. To justify this observation, stronger management was found in site 1 due to more attention on monitoring, then workers were forced to do the tasks on the schedule while heat stress increases, too.

سنسورها , بهره وري , ضربان قلب , تنش گرمايي

sensors , productivity , heart rate , heat stress

Shayan Mohsenipour

Dr. Aliakbar Shirzadi Javid