Safety Management of Assembled Construction Site Based on Internet of Things Technology

2020 ◽  
pp. 1089-1096
Author(s):  
Shanshan Li
Keyword(s):  
Internet Of Things ◽  
Safety Management ◽  
Construction Site ◽  
Internet Of Things Technology

scholarly journals Design of Online Mine Safety Detection System Based on Internet of Things

2016 ◽  
Vol 12 (12) ◽  
pp. 60 ◽  
Author(s):  
Zhao-ming Qian ◽  
Yan-bin Yuan ◽  
Sa-sa Zhang ◽  
Gao-feng Ren
Keyword(s):  
Internet Of Things ◽  
Production Management ◽  
Safety Management ◽  
Detection System ◽  
Mine Safety ◽  
Open Architecture ◽  
Comprehensive Management ◽  
Safety Production ◽  
On Line ◽  
Internet Of Things Technology

Safety production is a major problem faced by mining enterprises. In view of the requirements of mine safety production and the development of information technology, the application of Internet of Things technology to the mining process can not only improve the safety management technology of mine enterprises, The steady growth of the national economy and the sustainable and healthy development of mining have a profound impact. The on-line monitoring system of mining safety based on Internet of Things technology can help mine personnel, equipment and environment comprehensive management, enrich the mine safety production management means, and improve the ability of mine to resist various risks and disasters. In this paper, combined with the actual situation of the mine, focusing on the Internet of Things technology-based mine safety inspection and protection system construction of the necessity, and based on the three-tier architecture of the open architecture of the network, based on mine safety on-line detection support system Of the application model structure. For the construction of mine networking provides the experience and technology<strong>.</strong>

scholarly journals Mountain Rainfall Estimation and BIM Technology Site Safety Management Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Peng Liu
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Safety Management ◽  
New Technology ◽  
Information Modeling ◽  
Mountainous Area ◽  
Construction Site ◽  
Rainfall Estimation ◽  
Machine Method ◽  
Management Effect

Mountain rainfall estimation is a major source of information for determining the safety of a geographical (mountainous) area. It can be done easily by using a modeling and simulation application, BIM, which is a building information modeling tool. It helps in transforming the real-time scenarios into the construction and business models. Now, this whole process can be easily realized by the help of an evolving technology known as IoT (Internet of Things). Internet of Things is supposedly going to take over the world by the end of this decade. It will reshape the whole communication architecture. IoT is actually going to be a basis for D2D (Device to Device) communication. Here, the MTC (Machine Type Communications) are going to take place which have almost zero human involvement. Now, in order to overcome the problem that the traditional construction site safety management method is difficult to accurately estimate the rainfall, resulting in poor safety management effect, a mountain rainfall estimation and BIM technology site safety management methods based on Internet of things are proposed. Firstly, based on the Internet of Things data, the limit learning machine method is used to accurately estimate the mountain rainfall. Secondly, based on the rainfall estimation results and combined with BIM technology, the construction site safety and management model is constructed. In the end, experimental verification is carried out. The experimental results show that this method can precisely estimate the rainfall in mountainous areas, and the computational results of safety factor are basically consistent with the actual results, indicating that the safety management effect of this system is good. In this paper, I reveal the complications and drawbacks associated with the ongoing mechanisms used for mountain rainfall estimations and how to overcome them by using the new technology, i.e., Internet of Things.

scholarly journals Investigating the Barriers to Applying the Internet-of-Things-Based Technologies to Construction Site Safety Management

2022 ◽  
Vol 19 (2) ◽  
pp. 868
Author(s):  
Sanaz Tabatabaee ◽  
Saeed Reza Mohandes ◽  
Rana Rabnawaz Ahmed ◽  
Amir Mahdiyar ◽  
Mehrdad Arashpour ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Safety Management ◽  
Wearable Sensors ◽  
Leading Edge ◽  
Construction Site ◽  
Structured Interviews ◽  
Safety Hazards ◽  
Fuzzy Delphi ◽  
Practical Guidelines ◽  
The Internet Of Things

The utilization of Internet-of-Things (IoT)-based technologies in the construction industry has recently grabbed the attention of numerous researchers and practitioners. Despite the improvements made to automate this industry using IoT-based technologies, there are several barriers to the further utilization of these leading-edge technologies. A review of the literature revealed that it lacks research focusing on the obstacles to the application of these technologies in Construction Site Safety Management (CSSM). Accordingly, the aim of this research was to identify and analyze the barriers impeding the use of such technologies in the CSSM context. To this end, initially, the extant literature was reviewed extensively and nine experts were interviewed, which led to the identification of 18 barriers. Then, the fuzzy Delphi method (FDM) was used to calculate the importance weights of the identified barriers and prioritize them through the lenses of competent experts in Hong Kong. Following this, the findings were validated using semi-structured interviews. The findings showed that the barriers related to “productivity reduction due to wearable sensors”, “the need for technical training”, and “the need for continuous monitoring” were the most significant, while “limitations on hardware and software and lack of standardization in efforts,” “the need for proper light for smooth functionality”, and “safety hazards” were the least important barriers. The obtained findings not only give new insight to academics, but also provide practical guidelines for the stakeholders at the forefront by enabling them to focus on the key barriers to the implementation of IoT-based technologies in CSSM.

Research on Construction and Function of Safety Monitoring Sys- tem for Integrated Construction Site Based on BIM

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Dan Xin
Keyword(s):  
Monitoring System ◽  
Safety Management ◽  
Safety Monitoring ◽  
Information Collection ◽  
Construction Site ◽  
Management Efficiency ◽  
Lack Of Information ◽  
Safety Monitoring System ◽  
And Function

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.

scholarly journals Development of a Safety Management System Tracking the Weight of Heavy Objects Carried by Construction Workers Using FSR Sensors

2021 ◽  
Vol 11 (4) ◽  
pp. 1378
Author(s):  
Seung Hyun Lee ◽  
Jaeho Son
Keyword(s):  
Random Forest ◽  
Decision Tree ◽  
Safety Management ◽  
Tracking System ◽  
Construction Workers ◽  
Gradient Boosting ◽  
Prototype System ◽  
Construction Site ◽  
Average Accuracy ◽  
Smart Safety

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.

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