Let’s See How AI Supports Construction Industry
Contrary to how the other industries work, the construction industry has seen little to no improvement in productivity over the past eight decades. A recent report from McKinsey & Co states that “While many U.S sectors including agriculture and manufacturing have increased productivity 10 to 15 times since the 1950s, the productivity of construction remained stuck at the same level as 80 years ago. Current measurements find that there has been a consistent decline in the industry’s productivity since the late 1960s”. See how AI for the construction industry helps you.
Artificial Intelligence is set well to benefit from the advancement of machine learning. It can reform different divisions in development from, plan the board to hazard the executives. The engineering and construction division is esteemed at more than $10 trillion every year. Organizations that hold on to embrace troublesome advances like AI may never get up to speed with early adopters.
The designing process for a project usually involves spending lots of time in front of a design table, elaborating the ideas that are in an architect’s mind. Often, this process is carried out by analyzing past precedents, and the results from this process may even be predictive or completely inefficient. Organizations are always looking for methods to create a competitive separation through innovation, and thus accelerate new product development.
Using an AI-based process such as generative design, engineers can input requirements along with parameters for materials, construction methods, and cost constraints into the database, which explore all the possible permutations of a solution and generate design alternatives. It leverages machine learning to test and from each iteration of what works and what doesn’t. For instance, for the design of an apartment, instead of drawing two or three options, the measurements and specifications of the apartment can be input into the AI tool, and it will deliver numerous number of practical and easily constructible design options that meet the criteria, and even options that a human designer could not conceive of his own.
AI-assisted predictive maintenance
Machines require periodic maintenance such as oil changes, fluid changes, and so on. Even though modern machines that equipped with features that remind owners to check their engines or fluid levels. These do not come up to the mark when it comes to the specific customer needs of maintenance.
Predictive maintenance ties, machine learning software to sensors of a machine and measures the wear and tear of individual components. This helps to conclude, with a high probability, when something is about to go wrong. As a result of this, organizations can avoid unexpected breakdowns and unplanned maintenance. With the implementation of predictive maintenance, it can cut down maintenance costs, extend the lives of machines.
AI-based product tracking
Organizations insist on having complete transparency in the transport and logistics of their goods. Security and compliance reasons often demand point to point information of products in cases where they transported from one point to another. Resource management and productivity are usually hampered by the unpredictable environmental, fuel costs and traffic costs.
Cloud-based GPS and technologies like Radio Frequency Identification(RFID) would help track a product as it moves point to point. The use of AI-based systems can ensure timely delivery through more efficient and accurate route performances. This can be further enabled by an enhanced tracking method of both deliveries and vehicles.
AI for the Construction Industry can forecast the arrival and dispatch details of a product in a warehouse or a godown, thus enabling the organisation to leverage the technology to predict the path of their raw materials required for the construction process. This carries out a fast and efficient method for restocks raw materials, where the items that stay at the warehouse for longer periods stored in rear positions and quick moving materials placed at the front rows of the shelves.
AI provides an effortless and seamless process in logistics management. Organisations can take full advantage of the speed, accuracy, and security that it provides. This results in increased revenue. Reduction in operating costs and better customer service.
Surveying with smart cameras
While the construction managers often know how many people assigned to a job and how much time they are spending, they don’t have an accurate measure of how much work carried out, or if that works done properly. The reason for this is that most projects involve several teams that are installing millions of components. With so much to inspect, it is nearly impossible to accurately track progress. Before they know it, managers realize that a months worth of work and dollars have to overspend, leading to nasty overruns and delays.
By using modern devices like drones and HD cameras on construction sites, managers can track and monitor the workflow on the job site. The data collected by the drones will be analysed by AI. AI will compare the images collected by the drones with the blueprints or 3D design models. It inspects installation quality and qualifies how much material has been installed correctly.If the AI system detects any issue with the work done, it will automatically send the notification to workers, engineers and managers, allowing them to take fast actions.
Energy efficient homes
Energy saving is not only crucial for our pockets, but also it is important for our planet. Currently, energy efficiency is an important topic due to the increase in climate changes and energy challenges. The construction of a building does not simply end with the foundation of it being intact. It also includes the interiors as well as interior amenities.
AI for construction industry powered home automation can cut down these things. Energy consumption and carbon footprints by controlling smart thermostats, smart plugs, and automated lighting sensors. AI for the construction industry enabled the occupancy management system can facilitate monitoring rooms for the presence of people. And Control the room’s ecosystem parameters such as temperature, humidity, lighting airflow, odor control, and many such factors.
With the help of high precision sensors, AI enabled occupancy tools can detect the number of people in a room, track their movement patterns, predict the average usage of electrical installations like air conditioning, lighting systems, and home entertainment systems, offering automatic solutions for controlling power consumption. In simple terms, it will turn off the lights in a room when it is empty and turn is back on when someone enters. The use of smart lighting solutions will drastically bring down the costs of operations at all places, immensely increasing energy efficiency.
Construction is a very accurate and elaborate industry, where the size and complexity of the problems require a number of specific methods and algorithms. AI and machine learning applications can get the job done on time as well as budget. These new tools offer great benefits for the construction business, workers, projects and involve closely integrating AI and machine learning technologies into their planning, design and production workflows.