Applications of Artificial Intelligence in Construction Management Assessment Answer

Abstract

The building business is evolving thanks to digital technology. At the regional, governmental, and international levels, construction is strategically significant. The agriculture sector is India's second-largest industry after this one. The design, engineering, and construction sector is currently confronted with significant technological and industrial developments and difficulties, as well as the growth of IT and suitable implementations of sustainable methods. IoT, ICT, Big data, Automation, Standardization, interruption, deflection, block chain, and supply chain are current developments, devices, and technologies that are ideally positioned to improve the construction industry. The development of a shared and integrated system for construction management has a lot of potential as cloud computing, artificial intelligence, and the internet of things evolve. This essay provides a thorough literature analysis on the use of AI in construction management. The use of these cutting-edge technology has a huge impact on boosting efficiency in the building industry. Additionally, this post continues our previous discussion regarding "recent aspects in the digitalization of either construction supervision, construction project, or building sector along with construction company." As this technology is still in its early stages of advancement, this study endeavor will help to better understand the change and open the door for future studies in this field.

Introduction

Modern engineering aims to improve living, making engineering and technology two interconnected technologies. We must stay informed about the power of different related areas in general and the construction industry specifically due to our rapid growth and growing requirement for varied technical applications. Artificial intelligence (AI) has become more prevalent in the supervision and engineering of construction projects in recent years, mainly as a result of the technology's promise to boost productivity and efficiency. This study includes a survey of the existing AI literature with an emphasis on the previous ten years in order to achieve a thorough grasp of the research on this topic.

Long-term changes in construction will result from the technology marriage of IoT and AI, which will open up new business prospects and income streams as well as fresh company models and frameworks that benefit from IoT and AI features. Business structures in the construction sector are predicted to change in the areas of logistics, customer relationship management, assistance, operations, digitization, and financial services. Even more AI can aid in training in realistic scenarios, lowering injuries and expensive blunders, and improving operations. This may assist with the skilled labor shortage by enabling operators to utilize their available labor resources more effectively (2018, Monroe). Therefore, the digitalization of the construction sector offers chances to complete substantial construction tasks within their set timelines and budgets. (Patil,2018). The paper's main goal is the adoption of new, cutting-edge technologies, specifically artificial intelligence, in the management and construction sectors.

Background of the study and Rationale

On a local, nationwide, and international scale, construction is a significant industry with strategic significance. Additionally, the industry has long struggled with a variety of issues, such as low production, slim profit margins, waste, and safety issues (Pistorius, 2017). Construction industry (CI), construction project (CP), construction management (CM), and building company current research is collected from reputable national as well as global magazines. Books, states, publications, theses, conference papers, and book chapters are examples of secondary sources. In preparing this review study, we studied the literature from recent decades and took into account an emerging technology called artificial intelligence. Construction companies who switch to digital stand to earn a considerable competitive advantage. Business, information, construction sites, project cooperation, and skilled worker networks are some of the key domains affected by digitization. Some questions come to mind as you examine the advancement of digital technology in relation to the building industry.

What role is AI playing in the construction industry?, How can architects use AI in the building industry? How could AI relate to machine learning and blockchain technology? What are the downsides and advantages of AI in building? Different tools, techniques, and trends are being used in the construction industry as part of innovative solutions. This is the article's major theme. Answers to these queries are provided while taking into account modern architectural design and building methods.

Literature review

Concerning digital technologies, such as Big Data, Atomization, Standardization, IoT, CC, AI and BIM, (Gerber & Kensek, 2009), Prefabrication & Disrupting along with applications and significance, drawbacks and benefits, numerous references have been made by various authors based on the Construction Industry (CI), Construction Management (CM), and Construction Technology (CT) and CP.(Adwan & Soufi (2016) Benham (2017) Barbosa (2017) Brandt & Moyers (2013) Cearley (2017) Egbu (2004) Kapliski (2018), and Buyer (2017) discussed how digitalization technology is important in altering CI. The construction industry in India is expanding quickly, and there is a lot of room for growth by implementing emerging new technologies like automation and artificial intelligence. Following the agriculture industry, the construction sector is India's second-largest trade sector. Numerous building projects now include digital sensor systems, intelligent machinery, cell phones, and new software system applications that are gradually connected with a central BIM platform. Big data has the ability to quickly transform any way of construction contracting and create solutions to construction difficulties.

The most recent research on CI, CP, CM, and the construction industry is gathered from reputable national and international journals. Books, reports, publications, theses, research papers, and book chapters are examples of secondary sources. A review article on artificial intelligence applications in the construction sector was written after consulting recent literature. In accordance with the digital transformation of CI, we have gathered pertinent data starting in the year 2000. Applications of AI in construction conflict resolution were examined by Ilter & Dikbas (2018). A number of consequences of AI in building were presented by Steven (2017). Guinn (2017) specifically mentions its increase in the construction sector. AI and CI transformation were related by Waldeck-Consulting (2017). Bhardwaj (2018) covered a wide range of current use-cases for AI in the construction industry. He went on to discuss its uses in additive manufacturing (3D printing). According to Blanco et al. (2017), AI is the next frontier for the construction industry. In 2018, Chaturvedi and Chengu (2018) underlined the enormous potential of AI in the field of construction management. Marvin (2018) recently outlined 10 stages for implementing AI in the construction industry. "How AI supports the CI?" Wadlow (2018) quoted a feature. On the other hand, Debney (2018) stressed the value of CI support through AI.

A recent review in-depth of different "recent aspects on digitalization in the construction industry/construction management" was published by Patil (2018). She discussed numerous CM and construction industry tools, processes, and technology. This article is an expansion of earlier research on the role that digital technologies are playing in the construction industry. AI is a brand-new technology that is on pace to transform the construction sector out of all the emerging technologies now available on the market. The creation of computer algorithms that can improve themselves autonomously through construction experience is one of the overarching objectives of artificial intelligence. These algorithms allow us to enhance processes much more quickly than the human brain could ever hope to. For architects and engineers, Autodesk's generative design product line gives them a whole new universe of design possibilities.

Artificial intelligence (AI)

A human-like artificial intelligence (AI) that can acquire knowledge, reason, plan, believe, or comprehend natural language is what the term traditionally refers to. AI is a rapidly developing technology made feasible by the internet that may soon have a big impact on our daily lives. These characteristics enable AI to present enormous socioeconomic potential while simultaneously creating socioeconomic and ethical challenges. AI is starting to enter the building industry. AI will have a bigger impact on the construction industry in the future in terms of enhancing safety, quality, and productivity on the jobsite (Clavero, 2018). AI has a huge database of patterns and trends. In essence, AI mimics human natural intelligence by harnessing the power of technology. It use machine learning (ML) to store issues and carry out tasks more quickly and recoverably. (Rajgopal, 2017; Tan, 2016). As a result, we may state that AI is now being built. Here is a summary of a few AI in CI application strategies. Which are:

How can we leverage AI in Construction?

Technology is being adopted on building sites, but it's progressing slowly. However, the adoption is progressing, which is fantastic news. The amount of data, or information, recorded (Jobsite images, materials utilized, labor hours, equipment utilization, etc.) on a job-site has increased tremendously over the past ten years thanks to cloud-based applications and mobile devices. To increase the profitability of projects and businesses, deeper research, trending, and what-if analyses can be done using this information. AI may currently be used to improve construction-related activities' productivity, safety, quality, and scheduling (Goubau, 2018). The enormous potential of AI in the construction sector is effectively articulated by Chaturvedi (2018), who also noted that synchronizing AI and BIM will be necessary for the construction sector to become even more digital and automated.It is necessary to create a new environment that fosters innovation and heightens awareness of the potential of AI. As widespread use of it in building becomes a reality, it has the potential to be a significant game-changer that will aid in its evolution. Cheung has extensively described the enormous potential of AI in the C.I. in the same year.

Emerging Trends of AI in Construction Safety Sensors

Our house has been automated to use less energy. The Internet of Things is also automating our job sites to make them safer; we have sensors that can spot identify the location of workers and send out notifications if a person trips or falls. With the use of field reporting tools, foremen can log job-site activities or receive alerts about things like keeping significant project stakeholders updated in real time even when they are not present on the job-site. Emerging trends in AI include robots, autonomous cars, and drones (Clavero, 2018). Wu et al. (2017) examined AI in engineering risk analytics as part of their project on supply chain resilience assessment with structural dynamics consideration. Risk is present in many facets of our life and means various things to different people.

How AI is Changing Construction?

Wang discussed the significance of parallel control administration for the idea, designs, and applications of intelligent transportation systems. AI is transforming how the construction sector does business. The technology has been anticipated for years, and it is now available. It can increase efficiency, security, and other crucial factors in a successful organization (Monroe,2017). According to Kranz's analogy, IoT serves as the body and AI as the brain of a centralized AI system, providing both input (Data) and execution (Action) for smart computing and analytics. AI has advanced significantly for the construction sector, offering both a reliable tooling solution and management assistance (Debney, 2018). The CI can save time and money by substituting Virtual Assistants (VA) and AI for human labor.

New business Models in Construction

Logistics, managing client relationships, support, and workflow errors are among the business models in the CI that AI is predicted to change, making operations more effective. Many businesses are under stress as a result of the growing talent gap that the construction sector is currently experiencing. Ghinn (2017) asserts this point. More information about the growth of AI in the construction industry is provided in his article. Automation and finance are being revolutionized by AI. Additional AI could aid in training, simulating real-world scenarios, lowering injury rates, and reducing the pricey construction business. We are already experiencing and benefiting from AI on a daily basis without even recognizing it. It is no more a concept reserved for the far future or a fantasy left to our imagination. Numerous businesses are increasingly utilizing AI. The smart home has flourished in the post-building phase (Hodge, 2018), and the construction industry has begun to pay attention as a result. Four things were identified by Kingspan Group (2017) in relation to AI in construction: i) Friend or payment? (ii) Cutting down on surveying time (iii) making cutting-edge technologies, AI, and BIM even more advanced. Kingspan is a market leader in the construction sector and is always looking for ways to improve construction. Construction companies can work more quickly and safely with the use of AI clouds (Woyke, 2018). Important key words including big data, wearable technologies, data science, analytics, future work, and jobs were highlighted in her article. The main applications for AI in construction and building were categorized by Bharadwaj (2018). These include: (i) planning and design; (ii) safety; (iii) autonomous equipment; and (iv) monitoring and maintenance. He discussed in-depth the current real-world applications of AI in the construction and building industry as well as the obstacles that are preventing the widespread use of AI and ML in CI. He anticipates that many AI vendors would be working over the next five years to increase the effectiveness of the building processes, from planning to monitoring during actual construction, or, to put it another way, Bharadwaj foresaw significant future potential for AI in construction. Wadlow (2018) identified the planning phases, construction in progress, post-construction, BIM, and VA (a virtual assistant) as important categories of AI in the CI in the same year. 2018 (Debney). Ilter and Dikbas (2018) examined the use of AI in building and conflict resolution. In his work, he divided his analysis into three groups: conflict evaluation-oriented systems, selected-oriented systems, and settlement-oriented platforms.

How does AI works?

The science and engineering of creating intelligent devices, particularly intelligent computer programs, is what McCarthy, the founder of AI, calls artificial intelligence. AI is a method for having a computer, a robot controlled by a computer, or software think logically. The way an intelligent person thinks is similar. In order to create intelligent software systems, AI is a compilation of how human brains think, learn, decide, and work while attempting to address challenges of this topic. What will AI's precise role be in the next 20 years?

Table 1: Summary of applications of AI in CM

How can architect adopt to the coming age of AI?

Bernstein (2017) concentrates on the changing nature of the architect's job at the nexus of design & construction, covering topics like value generations & alternate delivery mechanisms.

The future of AI in Construction

Costs associated with construction can be cut by up to 20% using robotics, AI, and the internet of things. Engineers can send tiny robots into newly constructed structures while wearing virtual reality goggles. These robots follow the task as it is done using cameras. Modern structures' plumbing and electrical systems are being routed using AI. AI is being used by businesses to create workplace safety solutions. AI is being used to monitor the interactions between personnel, equipment, and items at the job site in real-time and notify managers of any potential safety hazards, design flaws, or productivity problems. Construction industry executives should focus their investments on areas where AI has the greatest potential to meet the specific demands of their organization. Early adopters will determine the industry's course and profit both now and in the future.

Conclusion

Any sector can greatly benefit from technology. With the aid of new applications and technologies made possible by technology, the construction sector in particular is going through a new and reinvigorated period. These applications are used by tech start-up companies to plan, design, and carry out their initiatives.

The capacity of the cloud to enable greater freedom and convenience of accessing data from satellite workplaces, place of work, or customer locations that extend across the globe positions construction enterprises in a unique position to profit from this feature. Given the widespread use of construction software by employees for private use, current software solutions for the industry must take advantage of this staff interest and work to provide project data and features in this format to boost construction efficiency in the future.

AI is a brand-new technology that is on pace to transform the construction sector out of all the emerging technologies now available on the market. The creation of computer algorithms that can enhance themselves autonomously through construction expertise is one of the overarching objectives of artificial intelligence.

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