Construction Site Path Planning Optimization through BIM

Song, Siyuan; Marks, Eric

doi:10.1061/9780784482421.047

Cited by 17 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xu et al [15] employed already existing construction site models to solve multiobjective dynamic construction site layout problems, but considered only facility or process related features, such as safety and environmental hazards posed by a facility. Song et al [14] developed an automated tool to calculate optimized equipment travel paths using the site layout within BIMs, however they assumed a 2D flat surface and square obstacles without consideration of elevation or ground properties. One exception is the work by Cheung and Lin [5], which assessed the level of hazardous gases around the construction site using a Wireless Sensor Network.…”

Section: State Of the Artmentioning

confidence: 99%

Living Earth – A Methodology For Modeling The Environment Of Construction Sites Via Digital Twins

Bliznyuk¹

2022

Preprint

View full text Add to dashboard Cite

<p>The architecture, engineering and construction (AEC) industry appears hesitant to embrace new digital innovations. One of the few recent successful examples is the introduction of the building information modeling (BIM) paradigm. However, the focus here lies mainly on the building itself and does not support the construction environment. This paper presents a methodology for the development and application of Digital Twins representing and supporting the working environment of a construction site. By combining available geodata with real-time sensor data from mobile construction machines, it is possible to create always-up-to-date Digital Twins of the relevant objects and processes in the field in order to facilitate supervision, additional planning steps, management, control and security activities. The proposed concept is currently being tested on a local test site to generate, update and adapt the Digital Twins as well as to incorporate additional semantic information about e.g. the soil and various working processes. </p>

show abstract

Section: State Of the Artmentioning

confidence: 99%

Living Earth – A Methodology For Modeling The Environment Of Construction Sites Via Digital Twins

Bliznyuk¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Numerous studies and industrial applications evidenced that safety and BIM integration can assist in safety planning and execution of projects, for example to automatic checking of construction models and schedules for preventing fall-related accidents; automated scaffolding-related safety hazard identification [46], visualization [47], and prevention [48], blind spots identification and mapping [49], path planning [50], near-miss information reporting and visualization [51], towel crane location optimization [52], etc.…”

Section: Integrating Bim and Safetymentioning

confidence: 99%

Industrial Safety Management Using Innovative and Proactive Strategies

Song¹,

Awolusi²

2021

Concepts, Applications and Emerging Opportunities in Industrial Engineering

Self Cite

View full text Add to dashboard Cite

Safety is considered a top priority due to its significance in safeguarding human lives and properties, especially in high-risk industrial sectors such as aviation, oil and gas, construction, transportation, steel manufacturing, and mining industries. These industries are plagued by workplace injuries, illnesses, and fatalities because of the dangerous work environments. As such, it is very vital to integrate safety into every work process in any industrial environment just like quality is built into products and services. It is important to establish and execute an effective safety management system to prevent the risks of irreversible accidents. This chapter begins with a background to safety management in industrial engineering and a discussion of the various issues of industrial safety management. It follows with an extensive description of existing and commonly used safety performance measurement methods. Several case studies are used to explain the methods and explore the important application areas relevant to most industrial sectors. The techniques and tools for safety data collection, analysis, and sharing are introduced together with their applications for safety management. The last section explains how emerging technologies can be implemented in most industrial sectors to enhance safety management.

show abstract

“…Although the simulation results show that the GA has the best performance and the other two algorithms have quite similar results, we conjecture that it might be ascribed to their maps, which are quite easy and do not include difficult obstacles such as bottlenecks. Fairly recently, Song tried to integrate some path planning algorithms into BIM system [5]. The basic idea is to determine the path to transport the materials at the very beginning phase, i.e., the construction site design phase.…”

Section: B Path Planning For Construction Machinesmentioning

confidence: 99%

“…Weight Roughness [1,5,9] Slope [1, 5] Safety [1,15] As we can imagine, the faster the project, the faster the construction site changes. This indicates the difficulties of using a pre-calculated path planning for a construction site.…”

Section: Layersmentioning

confidence: 99%

“…the machines can be expected to move faster and denser without hesitation. To accomplish higher productivity and better safety in the path planning fashion, some researchers calculate and display efficient paths by a given construction site [5], [6] whereas others optimize the construction site layout considering the high productivity of the path [7], [8]. However, most of the current solutions about path planning on a construction site are mainly focusing on individual units, i.e., the interaction and path conflict of the different machines or other agents are ignored.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution

Xiang¹,

Liu

Su³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Multi working-machines pathfinding solution enables more mobile machines simultaneously to work inside of a working site so that the productivity can be expected to increase evolutionary. To date, the potential cooperation conflicts among construction machinery limit the amount of construction machinery investment in a concrete working site. To solve the cooperation problem, civil engineers optimize the working site from a logistic perspective while computer scientists improve pathfinding algorithms' performance on the given benchmark maps. In the practical implementation of a construction site, it is sensible to solve the problem with a hybrid solution; therefore, in our study, we proposed an algorithm based on a cutting-edge multi-pathfinding algorithm to enable the massive number of machines cooperation and offer the advice to modify the unreasonable part of the working site in the meantime. Using the logistic information from BIM, such as unloading and loading point, we added a pathfinding solution for multi machines to improve the whole construction fleet's productivity. In the previous study, the experiments were limited to no more than ten participants, and the computational time to gather the solution was not given; thus, we publish our pseudo-code, our tested map, and benchmark our results. Our algorithm's most extensive feature is that it can quickly replan the path to overcome the emergency on a construction site.

show abstract

Construction Site Path Planning Optimization through BIM

Cited by 17 publications

References 15 publications

Living Earth – A Methodology For Modeling The Environment Of Construction Sites Via Digital Twins

Living Earth – A Methodology For Modeling The Environment Of Construction Sites Via Digital Twins

Industrial Safety Management Using Innovative and Proactive Strategies

An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution

Contact Info

Product

Resources

About