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A new labour safety in construction management based on artificial intelligence
Construction management is considered a very important field in civil engineering. A lot of tracks had in civil engineering that achieve construction management, such as risk, time, material and labour. One of the best tracks that achieve construction is risk management in modern civil applications. Moreover, this vital track is connected directly with labour life for this it is a very important issue. Hence, the main cause of death and injuries of labour during working is decline safety measures and sometimes building control management has been utilising traditional risk monitoring. It is considered a major concern of civil engineers. In this paper, a new labour safety system in construction management is proposed to provide a safe environment. However, risk management is designed that based on the fall detection approach of labour during working or walking at high-rise buildings. In other words, online monitoring risk is proposed to support and enhance construction management in civil engineering. The proposed system will play an important role by notifying the console panel on time that helps to reduce the death rate. However, the detection system is heavily based on real pictures received from the cameras. These cameras will be distributed randomly in the building area. These pictures will be analysed at the control panel in construction management for civil engineering. In other words, the decision-maker is strongly dependent on received pictures from these cameras. According to the experimental results, outstanding results is achieved from risk monitoring in construction management.
A new labour safety in construction management based on artificial intelligence
Construction management is considered a very important field in civil engineering. A lot of tracks had in civil engineering that achieve construction management, such as risk, time, material and labour. One of the best tracks that achieve construction is risk management in modern civil applications. Moreover, this vital track is connected directly with labour life for this it is a very important issue. Hence, the main cause of death and injuries of labour during working is decline safety measures and sometimes building control management has been utilising traditional risk monitoring. It is considered a major concern of civil engineers. In this paper, a new labour safety system in construction management is proposed to provide a safe environment. However, risk management is designed that based on the fall detection approach of labour during working or walking at high-rise buildings. In other words, online monitoring risk is proposed to support and enhance construction management in civil engineering. The proposed system will play an important role by notifying the console panel on time that helps to reduce the death rate. However, the detection system is heavily based on real pictures received from the cameras. These cameras will be distributed randomly in the building area. These pictures will be analysed at the control panel in construction management for civil engineering. In other words, the decision-maker is strongly dependent on received pictures from these cameras. According to the experimental results, outstanding results is achieved from risk monitoring in construction management.
A new labour safety in construction management based on artificial intelligence
Alheeti, Khattab M Ali (author) / Aldaiyat, Rashid M (author)
2021-10-25
doi:10.21533/pen.v9i4.2425
Periodicals of Engineering and Natural Sciences; Vol 9, No 4 (2021); 685-691 ; 2303-4521 ; 10.21533/pen.v9i4
Article (Journal)
Electronic Resource
English
DDC:
690
Using Hybrid Artificial Intelligence Optimization Method to Predict Construction Labour Productivity
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