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 The Role of Internet of Things on the Development of Ports as a Holder in the Supply Chain

2018 ◽  
Vol 54 (1) ◽  
pp. 61-73
Author(s):  
Mladen Jardas ◽  
Čedomir Dundović ◽  
Marko Gulić ◽  
Katarina Ivanić
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Information Transfer ◽  
Information Technologies ◽  
Business Models ◽  
Business Processes ◽  
New Technology ◽  
Supply And Demand ◽  
Business Environment ◽  
Weak Links

The new technology greatly affects the way of production, consumption, communication, service delivery and ultimately on the entire supply chain. All stakeholders in the business process must invest in new knowledge and develop new business models to adapt to the changing business environment. Connecting devices over internet (Internet of things) and stakeholders’ synergy open up opportunities for new market achievements as well as for the improvement of business processes both in the supply chain and in ports. The development of information technologies has an impact on the reduction of errors, costs, time of information transfer and transport, inventory reduction and thus on better customization. There should be no weak links in the supply chain, which is especially related to the port and port processes that are the basis of the supply chain network. The port is the core of all activities of the supply chain and is also a place where supply and demand meet.

scholarly journals BIM-based Hazard Recognition and Evaluation Methodology for Automating Construction Site Risk Assessment

2020 ◽  
Vol 10 (7) ◽  
pp. 2335 ◽  
Author(s):  
Inhan Kim ◽  
Yongha Lee ◽  
Jungsik Choi
Keyword(s):  
Risk Assessment ◽  
Subjective Experience ◽  
Safety Management ◽  
Information Modeling ◽  
Evaluation Methodology ◽  
Construction Site ◽  
Construction Sites ◽  
Work Related ◽  
Risk Rating ◽  
Building Information

Construction sites in Korea are the locus of many disasters and work-related illnesses, and construction workers are particularly likely to be exposed to serious disasters such as falls, collapses, and burial. At domestic construction sites, the concept of Design for Safety has been adopted from abroad, and current regulations are intended to secure the personnel safety at each site. However, current government guidelines and regulations are difficult to apply in the field, mainly because they do not clearly address work issues and safety management measures. The current safety review method depends too much on the subjective experience of site workers or managers. This study analyzes the step-by-step tasks required for more automated building information modeling (BIM)-based construction site safety management. An example BIM-based assessment of one specific construction site hazard, the risk of a worker fall, is carried out. In the risk analysis stage, all of the associated hazards are identified and the attendant risks are estimated and quantified. A broader risk rating methodology is derived based on the scenarios of each possible disaster at a construction site, and the hazards are extracted by defining the relationships between each building element based on the BIM information. The result is a risk rating methodology derived from a BIM-based risk assessment.

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.

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

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.

Significance of Building Information Modeling in Modern Project Management for Sustainable Smart City Applications

2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu
Keyword(s):  
Project Management ◽  
Internet Of Things ◽  
Smart City ◽  
Building Information Modeling ◽  
Information Modeling ◽  
The Internet ◽  
City Environment ◽  
Modern Project ◽  
Building Information ◽  
The Internet Of Things

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Value Chain ◽  
Large Scale ◽  
Business Models ◽  
The Internet ◽  
Content Type ◽  
Industry Collaboration ◽  
New Business ◽  
The Internet Of Things

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

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