scholarly journals Evaluation of Safety Management Factors of Subway Construction Site Based On Risk Preference Information

Author(s):  
Haoyue Miao
Author(s):  
Dan Xin

The effective construction of safety monitoring system at construction site depends on perfect management system and advanced technical support. And the lack of information technology platform, resulting in reduced management efficiency, information is not accurate and other issues. Based on the construction site safety monitoring system to achieve the goal, to do a good job in advance prevention, to take the latest information collection technology RFID and BIM integrated comprehensive and effective monitoring of the construction site, constitute the main technology in the monitoring system, thus ensuring the construction site safety monitoring efficiency , Comprehensive, real-time, etc., on the management and technical two points to achieve the construction site safety monitoring, improve the quality of safety management.


2021 ◽  
Vol 11 (4) ◽  
pp. 1378
Author(s):  
Seung Hyun Lee ◽  
Jaeho Son

It has been pointed out that the act of carrying a heavy object that exceeds a certain weight by a worker at a construction site is a major factor that puts physical burden on the worker’s musculoskeletal system. However, due to the nature of the construction site, where there are a large number of workers simultaneously working in an irregular space, it is difficult to figure out the weight of the object carried by the worker in real time or keep track of the worker who carries the excess weight. This paper proposes a prototype system to track the weight of heavy objects carried by construction workers by developing smart safety shoes with FSR (Force Sensitive Resistor) sensors. The system consists of smart safety shoes with sensors attached, a mobile device for collecting initial sensing data, and a web-based server computer for storing, preprocessing and analyzing such data. The effectiveness and accuracy of the weight tracking system was verified through the experiments where a weight was lifted by each experimenter from +0 kg to +20 kg in 5 kg increments. The results of the experiment were analyzed by a newly developed machine learning based model, which adopts effective classification algorithms such as decision tree, random forest, gradient boosting algorithm (GBM), and light GBM. The average accuracy classifying the weight by each classification algorithm showed similar, but high accuracy in the following order: random forest (90.9%), light GBM (90.5%), decision tree (90.3%), and GBM (89%). Overall, the proposed weight tracking system has a significant 90.2% average accuracy in classifying how much weight each experimenter carries.


2015 ◽  
Vol 4 (1) ◽  
pp. 19
Author(s):  
Qi Feng

<p>In recent years in building construction site construction workers due to the complexity, the project construction period, the working environment is poor, the construction process hazard and more security-conscious workers partial bottom. When accidents occur, such as by falling, falling objects wounding, electric shock, earthmoving collapse, overturning and other machinery, causing casualties, to construction companies and property losses caused by the economy to varying degrees. Throughout its reasons, one is security responsibilities are not clear, safety supervision and management system is not perfect, the other is the weakening of the internal management of construction enterprises, especially flawed construction site management, lack of effective security measures, the responsibility is not implemented, management personnel and operations personnel have not performed the necessary education and training, lack of knowledge of security technologies, illegal command, illegal operation.</p>


2011 ◽  
Vol 339 ◽  
pp. 7-12
Author(s):  
Zhan Li Jiao

In the view of safety management and in accordance with the safety management system of “human – machine – environment - control”, the hidden risks linked to the safety management of LNG ship are analyzed in different aspects such as ship factors, environment factors, human factors and management factors respectively. Then, based on the safety principle of “prevention first”, this paper puts forward the corresponding measures, hoping to fundamentally prevent or eliminate the occurrence of non-safety factors. Finally, in reference to the successful safety management modes of other companies and the special properties of LNG ships, an effective safety management system is proposed and considered in this paper.


2014 ◽  
Vol 2 (3) ◽  
pp. 49-54 ◽  
Author(s):  
Ali Asghar Najafpoor ◽  
Asma Zarei ◽  
Farideh Jamali-Behnam ◽  
Mohammad Vahedian-Shahroudi ◽  
Ahmad Zarei ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document