Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge
Abstract
:1. Introduction
2. Research Methodology
2.1. Framework Design of Research Methodology
2.2. Literature Source
2.3. Literature Analysis
2.3.1. Co-Occurrence Analysis of the Literature
2.3.2. Literature Publication Source Analysis
3. Overview of Big Data Technologies
3.1. Big Data Collection
3.2. Big Data Analysis
3.2.1. Text Analysis
3.2.2. Audio Analysis
3.2.3. Video Analysis
3.2.4. Predictive Analysis
4. Discussion
4.1. Challenges of Applying Big Data to Worker Behavioral Safety
4.2. Prospects and Challenges for the Integration of Big Data Technologies
4.3. Combining Big Data Technology with Construction Management Systems
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Step | Title/Abstract/Keywords | Document Type | Language |
---|---|---|---|
Step1 | (“Big data”) AND (“Construction” OR “Engineering” OR “Building” OR “Architecture”) | Research articles/Conference articles/Literature reviews | English |
Step2 | (“Machine learning” OR “Prediction model” OR “Data mining”) AND (“Construction” OR “Engineering” OR “Building” OR “ Architecture” OR “worker”) AND “safety” OR “risk”) | Research articles/Conference articles/Literature reviews | English |
Group | Keyword Co-Occurrence Phrases |
---|---|
Group 1 | big data; big data analytics; data analytics; cloud computing; construction; Hadoop; safety |
Group 2 | machine learning; activity recognition; construction industry; safety management |
Group 3 | construction safety; construction workers; motion capture |
Group 4 | audio processing; deep learning; environmental sound |
Group 5 | motion recognition; motion sensor |
Technology | Data Format | ||
---|---|---|---|
Big data collection | Motion sensor | Worker posture | |
Inertial Measurement Unit (IMU) and camera | Identification of pose clusters from kinematic data | ||
Motion capture & recognition framework | Extract 3D human bone motion model from video | ||
Big data analysis | Text analysis | Statistical analysis | The text data |
Data mining | The text data | ||
Regression tree (CART) data mining | The text data | ||
Principal Component Analysis (PCA) | The text data | ||
A hybrid model combining GRU & symbiotic search (SOS) | The text data | ||
Audio analysis | Audio signals and machine learning | Audio data | |
Audio signal classification method based on deep belief network (DBN) | Audio data | ||
New CMC system with mixed acoustic characteristics | Audio data | ||
Deep recurrent neural network based on LSTM unit | Audio data | ||
Sensors and calculations and analysis programs | Audio data | ||
Video analysis | Based on CNN image recognition technology | Video data | |
A visual unsafe behavior detection framework based on CNN image recognition technology | Video data | ||
Forecast analysis | GM (1,1) model | Statistical data | |
Convolutional Neural Network (CNN) | Image data | ||
Convolutional Neural Network (CNN) and Long- and Short-Term Memory (LSTM) | Statistical data | ||
Latent Class Clustering Analysis and Artificial Neural Network (ANN) | Statistical data | ||
Random Forest (RF) and Random Gradient Tree Increment (SGTB) | Statistical data | ||
Machine learning Autoregressive Network Probability Prediction (DeepAR) model based on time series and probability prediction | Statistical data | ||
Support vector machine (SVM) algorithm | Statistical data | ||
Logistic regression, decision tree, random forest and AdaBoost analysis | Statistical data | ||
Linear Artificial Colony Programming (LABCP) | Statistical data |
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Meng, Q.; Peng, Q.; Li, Z.; Hu, X. Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge. Buildings 2022, 12, 533. https://doi.org/10.3390/buildings12050533
Meng Q, Peng Q, Li Z, Hu X. Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge. Buildings. 2022; 12(5):533. https://doi.org/10.3390/buildings12050533
Chicago/Turabian StyleMeng, Qingfeng, Qiyuan Peng, Zhen Li, and Xin Hu. 2022. "Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge" Buildings 12, no. 5: 533. https://doi.org/10.3390/buildings12050533