Share:


Digital technologies for enhancing crane safety in construction: a combined quantitative and qualitative analysis

    Yunhan Zhang Affiliation
    ; Ke Chen Affiliation

Abstract

A digital-enabled safety management approach is increasingly crucial for crane operations, which are common yet highly hazardous activities sensitive to environmental dynamics on construction sites. However, there exists a knowledge gap regarding the current status and developmental trajectory of this approach. Therefore, this paper aims to provide a comprehensive overview of digital technologies for enhancing crane safety, drawing insights from articles published between 2008 and 2021. Special emphasis is placed on the sensing devices currently in use for gathering “man-machine-environment” data, as well as the communication networks, data processing algorithms, and intuitive visualization platforms employed. Through qualitative and quantitative analysis of the literature, it is evident that while notable advancements have been made in digital-enabled crane safety management, these achievements remain largely confined to the experimentation stage. Consequently, a framework is proposed in this study to facilitate the practical implementation of digital-enabled crane safety management. Furthermore, recommendations for future research directions are presented. This comprehensive review offers valuable guidance for ensuring safe crane operations in the construction industry.

Keyword : crane operation, digital technology, safety management, literature review

How to Cite
Zhang, Y., & Chen, K. (2023). Digital technologies for enhancing crane safety in construction: a combined quantitative and qualitative analysis. Journal of Civil Engineering and Management, 29(7), 604–620. https://doi.org/10.3846/jcem.2023.19574
Published in Issue
Sep 11, 2023
Abstract Views
405
PDF Downloads
364
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Al Hattab, M., Zankoul, E., & Hamzeh, F. R. (2017). Near-real-time optimization of overlapping tower crane operations: A model and case study. Journal of Computing in Civil Engineering, 31(4), 05017001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000666

Azuma, R. T. (1997). A survey of augmented reality. Presence: Teleoperators & Virtual Environments, 6(4), 355–385. https://doi.org/10.1162/pres.1997.6.4.355

Chae, S., & Yoshida, T. (2010). Application of RFID technology to prevention of collision accident with heavy equipment. Automation in Construction, 19(3), 368–374. https://doi.org/10.1016/j.autcon.2009.12.008

Chen, H., & Luo, X. (2019). Exploring the quantitative impact of localization accuracy on localization-based safety monitoring’s performance on a construction jobsite. Journal of Computing in Civil Engineering, 33(6), 04019035. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000852

Chen, K., Lu, W., Peng, Y., Rowlinson, S., & Huang, G. Q. (2015). Bridging BIM and building: From a literature review to an integrated conceptual framework. International Journal of Project Management, 33(6), 1405–1416. https://doi.org/10.1016/j.ijproman.2015.03.006

Chen, Y. C., Chi, H. L., Kang, S. C., & Hsieh, S. H. (2016). Attention-based user interface design for a tele-operated crane. Journal of Computing in Civil Engineering, 30(3), 04015030. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000489

Chen, J., Fang, Y., & Cho, Y. K. (2017). Real-time 3D crane workspace update using a hybrid visualization approach. Journal of Computing in Civil Engineering, 31(5), 4017049. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000698

Cheng, T., & Teizer, J. (2014). Modeling tower crane operator visibility to minimize the risk of limited situational awareness. Journal of Computing in Civil Engineering, 28(3), 04014004. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000282

Chi, H. L., Chen, Y. C., Kang, S. C., & Hsieh, S. H. (2012). Development of user interface for tele-operated cranes. Advanced Engineering Informatics, 26(3), 641–652. https://doi.org/10.1016/j.aei.2012.05.001

Cho, Y. K., Youn, J. H., & Martinez, D. (2010). Error modeling for an untethered ultra-wideband system for construction indoor asset tracking. Automation in Construction, 19(1), 43–54. https://doi.org/10.1016/j.autcon.2009.08.001

Dutta, S., Cai, Y., Huang, L., & Zheng, J. (2020). Automatic re-planning of lifting paths for robotized tower cranes in dynamic BIM environments. Automation in Construction, 110, 102998. https://doi.org/10.1016/j.autcon.2019.102998

Eck, N. J. V., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring scholarly impact (pp. 285–320). Springer, Cham. https://doi.org/10.1007/978-3-319-10377-8_13

ElNimr, A., Fagiar, M., & Mohamed, Y. (2016). Two-way integration of 3D visualization and discrete event simulation for modeling mobile crane movement under dynamically changing site layout. Automation in Construction, 68, 235–248. https://doi.org/10.1016/j.autcon.2016.05.013

Everett, J. G., & Slocum, A. H. (1993). CRANIUM: Device for improving crane productivity and safety. Journal of Construction Engineering and Management, 119(1), 23–39. https://doi.org/10.1061/(ASCE)0733-9364(1993)119:1(23)

Fang, Y., & Cho, Y. K. (2016). Effectiveness analysis from a cognitive perspective for a real-time safety assistance system for mobile crane lifting operations. Journal of Construction Engineering and Management, 143(4), 05016025. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001258

Fang, Y., Cho, Y. K., & Chen, J. (2016). A framework for real-time pro-active safety assistance for mobile crane lifting operations. Automation in Construction, 72, 367–379. https://doi.org/10.1016/j.autcon.2016.08.025

Fang, Y., Cho, Y. K., Durso, F., & Seo, J. (2018). Assessment of operator’s situation awareness for smart operation of mobile cranes. Automation in Construction, 85, 65–75. https://doi.org/10.1016/j.autcon.2017.10.007

Gheisari, M., & Esmaeili, B. (2019). Applications and requirements of unmanned aerial systems (UASs) for construction safety. Safety Science, 118, 230–240. https://doi.org/10.1016/j.ssci.2019.05.015

Gutierrez, R., Magallon, M., & Hernández, D. C. (2021). Vision-based system for 3D tower crane monitoring. IEEE Sensors Journal, 21(10), 11935–11945. https://doi.org/10.1109/JSEN.2020.3042532

Han, S. H., Hasan, S., Bouferguène, A., Al-Hussein, M., & Kosa, J. (2015). Utilization of 3D visualization of mobile crane operations for modular construction on-site assembly. Journal of Management in Engineering, 31(5), 04014080. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000317

Han, S., Lei, Z., Bouferguene, A., Al-Hussein, M., & Hermann, U. (2016). 3D visualization-based motion planning of mobile crane operations in heavy industrial projects. Journal of Computing in Civil Engineering, 30(1), 04014127. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000467

Han, S., Lei, Z., Hermann, U., Bouferguene, A., & Al-Hussein, M. (2021). 4D-based automation of heavy lift planning in industrial construction projects. Canadian Journal of Civil Engineering, 48(9), 1115–1129. https://doi.org/10.1139/cjce-2019-0825

Hasan, S., Al-Hussein, M., Hermann, U. H., & Safouhi, H. (2010). Interactive and dynamic integrated module for mobile cranes supporting system design. Journal of Construction Engineering and Management, 136(2), 179–186. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000121

Hu, S., Fang, Y., & Guo, H. (2021). A practicality and safety-oriented approach for path planning in crane lifts. Automation in Construction, 127, 103695. https://doi.org/10.1016/j.autcon.2021.103695

Huang, C., Li, W., Lu, W., Xue, F., Liu, M., & Liu, Z. (2021). Optimization of multiple-crane service schedules in overlapping areas through consideration of transportation efficiency and operational safety. Automation in Construction, 127, 103716. https://doi.org/10.1016/j.autcon.2021.103716

Hussein, M., & Zayed, T. (2021). Crane operations and planning in modular integrated construction: Mixed review of literature. Automation in Construction, 122, 103466. https://doi.org/10.1016/j.autcon.2020.103466

Hwang, S. (2012). Ultra-wide band technology experiments for real-time prevention of tower crane collisions. Automation in Construction, 22, 545–553. https://doi.org/10.1016/j.autcon.2011.11.015

Jeong, H., Hong, H., Park, G., Won, M., Kim, M., & Yu, H. (2019). Point cloud segmentation of crane parts using dynamic graph CNN for crane collision avoidance. Journal of Computing Science and Engineering, 13(3), 99–106. https://doi.org/10.5626/JCSE.2019.13.3.99

Ji, Y., & Leite, F. (2018). Automated tower crane planning: Leveraging 4-dimensional BIM and rule-based checking. Automation in Construction, 93, 78–90. https://doi.org/10.1016/j.autcon.2018.05.003

Jiang, L., Zhao, T., Zhang, W., & Hu, J. (2021a). System hazard analysis of tower crane in different phases on construction site. Advances in Civil Engineering, 2021, 7026789. https://doi.org/10.1155/2021/7026789

Jiang, W., Ding, L., & Zhou, C. (2021b). Cyber physical system for safety management in smart construction site. Engineering, Construction and Architectural Management, 28(3), 788–808. https://doi.org/10.1108/ECAM-10-2019-0578

Juang, J. R., Hung, W. H., & Kang, S. C. (2013). SimCrane 3D+: A crane simulator with kinesthetic and stereoscopic vision. Advanced Engineering Informatics, 27(4), 506–518. https://doi.org/10.1016/j.aei.2013.05.002

Khodabandelu, A., Park, J., & Arteaga, C. (2020). Crane operation planning in overlapping areas through dynamic supply selection. Automation in Construction, 117, 103253. https://doi.org/10.1016/j.autcon.2020.103253

Kim, K., & Kim, M. (2012). RFID-based location-sensing system for safety management. Personal and Ubiquitous Computing, 16(3), 235–243. https://doi.org/10.1007/s00779-011-0394-0

Lai, K. C., & Kang, S. C. (2009). Collision detection strategies for virtual construction simulation. Automation in Construction, 18(6), 724–736. https://doi.org/10.1016/j.autcon.2009.02.006

Lai, X., Wang, S., Guo, Z., Zhang, C., Sun, W., & Song, X. (2021). Designing a shape-performance integrated digital twin based on multiple models and dynamic data: a boom crane example. Journal of Mechanical Design, 143(7), 071703. https://doi.org/10.1115/1.4049861

Lee, G., Kim, H.-H., Lee, C.-J., Ham, S.-I., Yun, S.-H., Cho, H., Kim, B. K., & Kim, K. (2009). A laser-technology-based lifting-path tracking system for a robotic tower crane. Automation in Construction, 18(7), 865–874. https://doi.org/10.1016/j.autcon.2009.03.011

Lee, U. K., Kang, K. I., Kim, G. H., & Cho, H. H. (2006). Improving tower crane productivity using wireless technology. Computer-Aided Civil and Infrastructure Engineering, 21(8), 594–604. https://doi.org/10.1111/j.1467-8667.2006.00459.x

Lee, G., Cho, J., Ham, S., Lee, T., Lee, G., Yun, S. H., & Yang, H. J. (2012). A BIM-and sensor-based tower crane navigation system for blind lifts. Automation in Construction, 26, 1–10. https://doi.org/10.1016/j.autcon.2012.05.002

Li, Y., & Liu, C. (2012). Integrating field data and 3D simulation for tower crane activity monitoring and alarming. Automation in Construction, 27, 111–119. https://doi.org/10.1016/j.autcon.2012.05.003

Li, H., Chan, G., & Skitmore, M. (2013a). Integrating real time positioning systems to improve blind lifting and loading crane operations. Construction Management and Economics, 31(6), 596–605. https://doi.org/10.1080/01446193.2012.756144

Li, H., Luo, X., & Skitmore, M. (2020). Intelligent hoisting with car-like mobile robots. Journal of Construction Engineering and Management, 146(12). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001931

Li, Y., Wang, S., & Li, B. (2013b). Improved visual hook capturing and tracking for precision hoisting of tower crane. Advances in Mechanical Engineering, 5, 426810. https://doi.org/10.1155/2013/426810

Lin, Y., Wu, D., Wang, X., Wang, X., & Gao, S. (2012). Statics-based simulation approach for two-crane lift. Journal of Construction Engineering and Management, 138(10), 1139–1149. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000526

Lin, Y., Yu, H., Sun, G., & Shi, P. (2016). Lift path planning without prior picking/placing configurations: Using crane location regions. Journal of Computing in Civil Engineering, 30(1), 04014109. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000437

Lingard, H., Cooke, T., Harley, J., Pirzadeh, P., Zelic, G., Wilczynska, M., Wakefield, R., & Gharaie, E. (2019). Crane safety in construction (Technical report). Australia. http://www.centreforwhs.nsw.gov.au/__data/assets/pdf_file/0011/927155/Crane-safety-in-construction-Technical-report.pdf

Liu, D., Lu, W., Niu, Y., Xue, F., & Chen, K. (2018). Bridging the cyber and physical systems for better construction: A case study of construction machinery monitoring and utilization. In Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate (pp. 393–399). Springer. https://doi.org/10.1007/978-981-10-6190-5_35

Liu, Z., Meng, X., Xing, Z., & Jiang, A. (2021). Digital twin-based safety risk coupling of prefabricated building hoisting. Sensors, 21(11), 3583. https://doi.org/10.3390/s21113583

Luo, X., Leite, F., & O’brien, W. J. (2015). Location-aware sensor data error impact on autonomous crane safety monitoring. Journal of Computing in Civil Engineering, 29(4), B4014010. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000411

Luo, H., Wang, M., Wong, P. K. Y., & Cheng, J. C. (2020). Full body pose estimation of construction equipment using computer vision and deep learning techniques. Automation in Construction, 110, 103016. https://doi.org/10.1016/j.autcon.2019.103016

Marzouk, M., & Abubakr, A. (2016). Decision support for tower crane selection with building information models and genetic algorithms. Automation in Construction, 61, 1–15. https://doi.org/10.1016/j.autcon.2015.09.008

Marzouk, M., & Hisham, M. (2013). A hybrid model for selecting location of mobile cranes in bridge construction projects. The Baltic Journal of Road and Bridge Engineering, 8(3), 184–189. https://doi.org/10.3846/bjrbe.2013.23

MinayHashemi, S., Han, S., Olearczyk, J., Bouferguene, A., Al-Hussein, M., & Kosa, J. (2020). Automated rigging design for heavy industrial lifts. Automation in Construction, 112, 103083. https://doi.org/10.1016/j.autcon.2020.103083

Minhas, M. R., & Potdar, V. (2020). Decision support systems in construction: A bibliometric analysis. Buildings, 10(6), 108. https://doi.org/10.3390/buildings10060108

Moi, T., Cibicik, A., & Rolvag, T. (2020). Digital twin based condition monitoring of a knuckle boom crane: An experimental study. Engineering Failure Analysis, 112, 104517. https://doi.org/10.1016/j.engfailanal.2020.104517

Neitzel, R. L., Seixas, N. S., & Ren, K. K. (2001). A review of crane safety in the construction industry. Applied Occupational and Environmental Hygiene, 16(12), 1106–1117. https://doi.org/10.1080/10473220127411

Niu, Y., Lu, W., Xue, F., Liu, D., Chen, K., Fang, D., & Anumba, C. (2019). Towards the “third wave”: An SCO-enabled occupational health and safety management system for construction. Safety Science, 111, 213–223. https://doi.org/10.1016/j.ssci.2018.07.013

Pooladvand, S., Taghaddos, H., Eslami, A., Nekouvaght Tak, A., & Hermann, U. (2021). Evaluating mobile crane lift operations using an interactive virtual reality system. Journal of Construction Engineering and Management, 147(11), 04021154. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002177

Price, L. C., Chen, J., Park, J., & Cho, Y. K. (2021). Multisensor-driven real-time crane monitoring system for blind lift operations: Lessons learned from a case study. Automation in Construction, 124, 103552. https://doi.org/10.1016/j.autcon.2021.103552

Ramli, L., Mohamed, Z., Abdullahi, A. M., Jaafar, H. I., & Lazim, I. M. (2017). Control strategies for crane systems: A comprehensive review. Mechanical Systems and Signal Processing, 95, 1–23. https://doi.org/10.1016/j.ymssp.2017.03.015

Raviv, G., Fishbain, B., & Shapira, A. (2017). Analyzing risk factors in crane-related near-miss and accident reports. Safety Science, 91, 192–205. https://doi.org/10.1016/j.ssci.2016.08.022

Ray, S. J., & Teizer, J. (2012). Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots. Advanced Engineering Informatics, 26(1), 117–130. https://doi.org/10.1016/j.aei.2011.09.005

Ren, W., & Wu, Z. (2015). Real-time anticollision system for mobile cranes during lift operations. Journal of Computing in Civil Engineering, 29(6), 04014100. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000438

Rezazadeh, I. M., Wang, X., Firoozabadi, M., & Golpayegani, M. R. H. (2011). Using affective human-machine interface to increase the operation performance in virtual construction crane training system: A novel approach. Automation in Construction, 20(3), 289–298. https://doi.org/10.1016/j.autcon.2010.10.005

Sadeghi, S., Soltanmohammadlou, N., & Rahnamayiezekavat, P. (2021). A systematic review of scholarly works addressing crane safety requirements. Safety Science, 133, 105002. https://doi.org/10.1016/j.ssci.2020.105002

Shahnavaz, F., Taghaddos, H., Najafabadi, R. S., & Hermann, U. (2020). Multi crane lift simulation using Building Information Modeling. Automation in Construction, 118, 103305. https://doi.org/10.1016/j.autcon.2020.103305

Shapira, A., Rosenfeld, Y., & Mizrahi, I. (2008). Vision system for tower cranes. Journal of Construction Engineering and Management, 134(5), 320–332. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:5(320)

Shapira, A., Simcha, M., & Goldenberg, M. (2012). Integrative model for quantitative evaluation of safety on construction sites with tower cranes. Journal of Construction Engineering and Management, 138(11), 1281–1293. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000537

Smoczek, J. (2014). Fuzzy crane control with sensorless payload deflection feedback for vibration reduction. Mechanical Systems and Signal Processing, 46(1), 70–81. https://doi.org/10.1016/j.ymssp.2013.12.012

Soltanmohammadlou, N., Sadeghi, S., Hon, C. K., & Mokhtarpour-Khanghah, F. (2019). Real-time locating systems and safety in construction sites: A literature review. Safety Science, 117, 229–242. https://doi.org/10.1016/j.ssci.2019.04.025

Song, H., Kim, T., Kim, J., Ahn, D., & Kang, Y. (2021). Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness. Automation in Construction, 122, 103506. https://doi.org/10.1016/j.autcon.2020.103506

Tak, A. N., Taghaddos, H., Mousaei, A., Bolourani, A., & Hermann, U. (2021). BIM-based 4D mobile crane simulation and onsite operation management. Automation in Construction, 128, 103766. https://doi.org/10.1016/j.autcon.2021.103766

Tam, V. W., & Fung, I. W. (2011). Tower crane safety in the construction industry: A Hong Kong study. Safety Science, 49(2), 208–215. https://doi.org/10.1016/j.ssci.2010.08.001

Teizer, J., Allread, B. S., Fullerton, C. E., & Hinze, J. (2010). Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system. Automation in Construction, 19(5), 630–640. https://doi.org/10.1016/j.autcon.2010.02.009

Tian, J., Luo, S., Wang, X., Hu, J., & Yin, J. (2021). Crane lifting optimization and construction monitoring in steel bridge construction project based on BIM and UAV. Advances in Civil Engineering, 2021, 5512229. https://doi.org/10.1155/2021/5512229

Wang, C., & Cho, Y. K. (2015). Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud. Automation in Construction, 49, 239–249. https://doi.org/10.1016/j.autcon.2014.06.003

Wang, J., Zhang, X., Shou, W., Wang, X., Xu, B., Kim, M. J., & Wu, P. (2015). A BIM-based approach for automated tower crane layout planning. Automation in Construction, 59, 168–178. https://doi.org/10.1016/j.autcon.2015.05.006

Wang, C. C., Wang, M., Sun, J., & Mojtahedi, M. (2021). A safety warning algorithm based on axis aligned bounding box method to prevent onsite accidents of mobile construction machineries. Sensors, 21(21), 7075. https://doi.org/10.3390/s21217075

Wohlin, C. (2014). Guidelines for snowballing in systematic literature studies and a replication in software engineering. In EASE ‘14: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, Christchurch, New Zealand. https://doi.org/10.1145/2601248.2601268

Wu, H., Yin, Y., Wang, S., Shi, W., Clarke, K. C., & Miao, Z. (2017). Optimizing GPS-guidance transit route for cable crane collision avoidance using artificial immune algorithm. GPS Solutions, 21(2), 823–834. https://doi.org/10.1007/s10291-016-0573-6

Xu, W., & Wang, T. K. (2020). Dynamic safety prewarning mechanism of human-machine-environment using computer vision. Engineering, Construction and Architectural Management, 27(8), 1813–1833. https://doi.org/10.1108/ECAM-12-2019-0732

Yang, J., Vela, P., Teizer, J., & Shi, Z. (2014). Vision-based tower crane tracking for understanding construction activity. Journal of Computing in Civil Engineering, 28(1), 103–112. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000242

Yang, Z., Yuan, Y., Zhang, M., Zhao, X., Zhang, Y., & Tian, B. (2019). Safety distance identification for crane drivers based on mask R-CNN. Sensors, 19(12), 2789. https://doi.org/10.3390/s19122789

Younes, A., & Marzouk, M. (2018). Tower cranes layout planning using agent-based simulation considering activity conflicts. Automation in Construction, 93, 348–360. https://doi.org/10.1016/j.autcon.2018.05.030

Zhang, Z., & Pan, W. (2020). Lift planning and optimization in construction: a thirty-year review. Automation in Construction, 118, 103271. https://doi.org/10.1016/j.autcon.2020.103271

Zhang, C., & Hammad, A. (2012a). Improving lifting motion planning and re-planning of cranes with consideration for safety and efficiency. Advanced Engineering Informatics, 26(2), 396–410. https://doi.org/10.1016/j.aei.2012.01.003

Zhang, C., & Hammad, A. (2012b). Multiagent approach for real-time collision avoidance and path replanning for cranes. Journal of Computing in Civil Engineering, 26(6), 782–794. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000181

Zhang, C., Hammad, A., & Rodriguez, S. (2012). Crane pose estimation using UWB real-time location system. Journal of Computing in Civil Engineering, 26(5), 625–637. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000172

Zhang, X., Zhang, W., Jiang, L., & Zhao, T. (2020). Identification of critical causes of tower-crane accidents through system thinking and case analysis. Journal of Construction Engineering and Management, 146(7), 04020071. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001860

Zheng, J. M., Chan, K. W., & Gibson, I. (1998). Virtual reality. IEEE Potentials, 17(2), 20–23. https://doi.org/10.1109/45.666641

Zhong, D., Lv, H., Han, J., & Wei, Q. (2014). A practical application combining wireless sensor networks and internet of things: Safety management system for tower crane groups. Sensors, 14(8), 13794–13814. https://doi.org/10.3390/s140813794

Zhou, W., Zhao, T., Liu, W., & Tang, J. (2018). Tower crane safety on construction sites: A complex sociotechnical system perspective. Safety Science, 109, 95–108. https://doi.org/10.1016/j.ssci.2018.05.001

Zhou, C., Luo, H., Fang, W., Wei, R., & Ding, L. (2019). Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. Automation in Construction, 97, 138–150. https://doi.org/10.1016/j.autcon.2018.10.017

Zhou, Y., Guo, H., Ma, L., Zhang, Z., & Skitmore, M. (2021a). Image-based onsite object recognition for automatic crane lifting tasks. Automation in Construction, 123, 103527. https://doi.org/10.1016/j.autcon.2020.103527

Zhou, Y., Zhang, E., Guo, H., Fang, Y., & Li, H. (2021b). Lifting path planning of mobile cranes based on an improved RRT algorithm. Advanced Engineering Informatics, 50, 101376. https://doi.org/10.1016/j.aei.2021.101376