文章基本信息

标题：DEVELOPMENT OF FUZZY DECISION SUPPORT SYSTEM FOR ACCIDENT PREVENTION BASED ON WORKER CONDITIONS AND PROJECT ENVIRONMENTS
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作者：LILA AYU RATNA WINANDA ; ACHMAD ARIFIN ; TRIJOKO WAHYU ADI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：24
页码：4044-4060
出版社：Journal of Theoretical and Applied
摘要：Complexity in construction implementation has been proven to cause fatal accidents as a result of human errors due to fatigue. Construction accidents could happen at any time and the occurrence is difficult to predict in dynamic project characteristics. There are relationships between internal (workers) and external factors (construction environments) as leading factors in the accident since the project conditions also cause fatigue. Therefore, this paper presents an integrated system through real-time monitoring, with appropriate tools to decide workers safety conditions. The purpose of the developed system is to prevent construction accidents by monitoring workers� conditions during working hours. Fuzzy-based decision-making was proposed as a real-time monitoring system based on fatigue prediction, hazard level, environment effect, and safety analysis, according to internal conditions (heart rate, body temperature, and muscle activity) and external factors (hazard zone, safety protection, working space temperature, noise level, and illumination), then added with historical safety data. Fuzzy approach was used to develop the system according to the knowledge-based from experience, database, and expertise, since high accuracy of this method in analyzing qualitative issues such as safety assessment. Software development for fuzzy decision support system application has been realized to solve the problem in the form of safety decision-making. The performance evaluation showed that the overall fuzzy system was running well. Experimental tests on the system delivered the input data and proceed to expected output, as workers� safety decisions. The results show that the varied output of workers� safety conditions could be represented in the data model with different physiological conditions. Worker performance is assessed in preparation work to observe the readiness of workers, followed by real-time monitoring on working hours, where the data is updated hourly or minute. Therefore, fuzzy decision support system is appropriate in accident prevention and part of efforts in achieving construction safety. The integration with sensor networks is needed to realize the final goal in modern safety management in construction.
关键词：Construction Safety Monitoring;Decision Support System;Fuzzy Decision Making.