It might seem daunting, time consuming & prohibitive for smaller practices, to implement BIM. Not with Driving Vision!
This article is part of a blog series, which explores the future of Artificial Intelligence in Construction.
Artificial Intelligence (AI) has already had a significant impact on the Construction industry. There are various ways it can be implemented, such as virtual computers crunching an enormous amount of data, sensors collecting data, and making assets steady and durable.
The AI system and its army of robots will help eliminate human error, such as roller operators not keeping a straight line and truck drivers delivering materials to the wrong spot. If successful, the building method could provide a blueprint for other Construction projects, such as road Construction, Liu's team said.
AI empowers machines and networks to learn from experience, automate processes, and collect large amounts of data. AI recognizes patterns in the data to propose corrective actions, automate repetitive and time-consuming tasks such as approving work orders, planning preventive maintenance, and analyzing where labor spends most of its time. By streamlining processes, AI improves energy consumption and optimizes resources to reduce costs and improve security and Safety.
AI helps the Construction design phase optimize designs, enhance project management efficiency, and increase Safety by utilizing data analysis and generative capabilities.
AI helps create more efficient and sustainable structures by analyzing climatic data to suggest energy-efficient solutions and reduces the likelihood of costly rework by detecting potential design issues early. AI also aids in cost estimation, resource allocation, and can even generate basic plans and 3D models, streamlining the entire pre-construction process.
AI can produce multiple design options simultaneously based on various parameters, enabling architects and designers to optimize their solutions for aesthetics, performance, and cost.
AI scans and reviews vast datasets, analyzing climate information, to suggest energy-efficient system strategies to designers that optimize natural ventilation and integrate renewable energy solutions, thereby reducing the project's carbon footprint.
AI analyzes 3D models and blueprints to find potential clashes or issues within the design, preventing problems that could lead to costly rework.
AI analytics can forecast direct and indirect costs more accurately than humans, such as materials, labor, equipment, and maintenance.
Resource Allocation: AI maximizes schedules and resource allocation to optimize materials to utilize and equipment that are available at the right time, minimizing waste and delays.
Material Selection: AI software helps propose to designers sustainable materials by analyzing cost, durability, and carbon footprint, to optimize the use of eco-friendly and cost-effective materials.
Realtime Experiences: The algorithms create interactive VR/AR environments, allowing architects and clients to visualize designs before the Construction phase starts, enhancing common understanding from all stakeholders to make informed decisions.
Automated Documentation: AI project management platforms can generate basic floor plans, maximize the layouts, and generate all necessary documents based on the client's requirements.
AI helps the Construction phase project efficiency optimization, Safety enhancement, and quality improvement, utilizing predictive analytics, robots managed by AI for tasks like welding and bricklaying, AI-powered drones for site surveys and data analysis to improve resource allocation, optimize supply chain management, and improve risk assessment. It will become useful with predictive maintenance for equipment, automated quality checks, and generating sustainable Construction processes.
Improved Safety and Risk Management: AI analyzes data collected by sensors, cameras, and historical incidents to predict potential safety hazards and identify high-risk areas, facilitating proactive interventions.
Site monitoring: AI-powered drones and smart cameras used on Construction sites 24/7 help detect Safety issues such as missing personal protective equipment (PPE) and identify potential environmental risks.
Robotics: AI robots capable of performing tasks in hazardous conditions help minimize the number of human workers in high-risk environments.
Enhanced Efficiency and Productivity: Robots automate repetitive and manual tasks such as bricklaying, welding, and site cleanup, which increases the work progress at speed and improves the precision of the functions performed.
Improved scheduling: AI algorithms analyze and generate project data to facilitate better and more efficient workflows and schedules, thereby minimizing delays and ensuring projects are delivered on time.
Supply chain management: AI forecasts the right material demand to optimize the inventory level and streamline the supply chain to avoid costly delays.
_ Automated inspections:_ AI-powered drone, sensor data, and 3D models analyze footage to spot defects and meet quality outputs required to reduce costly rework.
Realtime monitoring: AI realtime project status data helps teams to address issues quickly and improve quality standards throughout the Construction process.
Accurate cost estimation: AI by analyzing labor, material, and equipment costs produces accurate estimates that prevent cost overruns.
Improved Sustainability: AI helps understand data on emissions and energy consumption and can suggest various environmentally friendly materials and streamline the required processes. AI tools manage materials effectively, reducing waste on the Construction site.
Artificial Intelligence (AI) integrated into technologies and structures in "smartly built assets" will help improve the facility management processes, providing intelligent automation for climate control, security, cleaning, maintenance, lighting, and more.
Machines doing tedious, repetitive tasks or complex calculations currently made by humans will make life easier for your existing labor force. It will also help optimize resources, minimize wasted time, and reduce operational costs.
Let us discuss the major AI applications that make the Facility Management (FM) process easier.
The leading causes of downtime are linked to weather changes over the four seasons, as machines are used more frequently. Appliances and machinery are aging, and faults occur.
AI FM software inspects and analyzes historical data on Construction bad performances, repairs, and labor requirements. The software then automatically generates order forms and sends them to the right suppliers.
The monitors of IoT devices produce historical data and send alerts when functionality abnormalities are detected. The software identifies the issues, estimates the time and cost to resolve them, and schedules qualified labor.
AI FM software simplifies and automates the invoicing process by organizing work orders using statistical methods. It electronically opens, closes, approves, and pays the required labor and materials by reusing data from past orders of similar scope.
With AI automated maintenance and breakdown detection, small facilities management teams can manage a lot of buildings and assets. FM employees can focus on essential tasks, as the software significantly reduces machine downtime and associated costs.
The largest cost category for buildings is energy consumption, which warrants attention to reduce costs and enhance environmental awareness. AI's predictive maintenance ability prevents equipment failures that cause energy waste and costly downtime.
AI prevents failures in building equipment like HVAC systems. AI can detect subtle changes in performance—such as increased vibrations or temperature—that signal an impending failure. It enables proactive maintenance scheduling, preventing breakdowns that could lead to significant energy inefficiencies.
AI can maximize equipment utilization. The system can recommend maintenance for equipment that is operating at reduced efficiency, long before it fails. For example, AI can detect that an HVAC unit takes longer than usual to reach a set temperature, and it can recommend the HVAC for service.
AI FM software uses predictive analytics to monitor and optimize in realtime the various sources of your electricity consumption.
Building Automation Systems (BAS) must check temperature issues quarterly to align them with building occupancy. It involves identifying areas that are not used at night, on weekends, or for extended periods. AI can adjust temperature settings in those locations and ensure that HVAC systems aren't set to overcool or overheat.
Beyond realtime monitoring, AI software combined with IoT and remote management dashboards can prevent leaks, predict operational digressions, and plan and propose strategies to minimize costs in function of the facility occupancy.
Security is well known as a significant concern for most FM teams, but very few teams prioritize it until an infringement happens. AI surveillance systems can alleviate this issue by automating the review process.
Access control, CCTV surveillance, intrusion detection, package screening, and weapon detection are just a few examples of commonplace data-driven security technology in FM.
While useful on their own, these applications can be enhanced and made even smarter with the integration of artificial intelligence and machine learning.
For example, Aegis AI has developed AI-powered software that can detect when a person in video footage is carrying a gun. IC Realtime developed an app and web platform named "Ella" that uses AI to analyze CCTV footage and make it instantly searchable under parameters defined by your team, like a black hood, silver car, etc.
AI is a powerful solution, capable of processing large quantities of visual data without fatigue and identifying unexpected threats (such as shoplifting or the delivery of a suspicious package) that a human eye will not be able to detect.
To improve visibility, plan strategically, and make sound financial projections, FM teams are analyzing, understanding, and interpreting facility data to meet budget and long-term goals. It is semi-automatically sorted, and it is incredibly time-consuming. A lot of intuition is necessary to make sound decisions.
With AI, you can automate these processes to generate quicker, more dependable, comprehensive data.
By removing the intuition factor and eliminating human influence and error, AI FM software with limited manual research can intelligently differentiate capital and operational costs, produce more accurate budget forecasts, and enhance demand predictability. AI can also propose wise choices in asset management, inform tough decisions, and suggest the most logical, cost-effective course of action.
Personalized insights provided by AI-powered analytics will ultimately allow your business to cut costs, prevent breakdowns, and keep both customers and employees satisfied.
FM is the phase of project management that is likely to benefit most from AI in the coming years. FM has numerous repetitive and time-consuming tasks. Introducing AI into your processes, FM professionals will be able to improve efficiency, reduce costs, polish up contractor relationships, and boost asset reliability.
AI in Construction is improving a project's lifecycle and enabling the digitalization of Construction material producers and/or distributors. It increases efficiency along the value chain in all functions: procurement, marketing and sales, manufacturing, logistics, customer service, and after-sales of building material producers, merchants, and building companies.
AI enhances forecast accuracy, determines the best time to buy, and optimizes inventory management.
AI can also automate the purchase-to-pay process, simplify the invoice checking and approving process, and optimize logistics for routes.
Ready to experience the future of Construction management? Schedule a technology diagnostic with one of our Construction experts or sign up risk-free to start transforming your business today.
Implementing BIM can be daunting, but Driving Vision is here to help you at the pace you are comfortable with. Get started by getting in touch now
Of practices using BIM made positive ROI
Of practices using BIM improved health and safety
Of practices using BIM decreased errors and omission
Of practices using BIM enhanced their practice image
Of practices using BIM claimed less litigations
Of practices using BIM reduced rework
It might seem daunting, time consuming & prohibitive for smaller practices, to implement BIM. Not with Driving Vision!
