Machine learning and AI are shaping our daily lives constantly and across all industries. Companies such as Google or Netflix use AI algorithms to deliver personalised results and suggestions based on their users’ interactions.
The construction industry can also benefit from these technological innovations by utilising machine learning in many different areas.
Predictive maintenance
Maintenance of machinery is a huge part of the construction industry, and it can be time-consuming. Embracing predictive maintenance can help to cut down the time and money spent on maintenance whilst not compromising on the quality of your work.
Predictive maintenance uses sensors embedded in your assets to collect real-time data about its performance. This is then combined with data analytics to predict when a machine will stop working at its best.
Optimised project planning
There is a wealth of data within your company about past projects. This could be timelines, resource allocation and cost. By analysing this past data using AI you will be able to generate accurate plans for future projects. As more data is given to the algorithm, the more accurate the results will be as the machine has had time to learn and adapt based on your feedback and information.
This will allow you to streamline workflows to create a more efficient project. It also enables you to minimise any potential delays which would cost you time and money.
Quality control and safety
Similar to how sensors can predict maintenance, they can also be used to detect any defects or hazards in real time. Cameras can be combined with sensors to upload images regularly for analysis too, giving a clear idea of the issues.
Being compliant with safety regulations means companies avoid any fines or legal repercussions. Having a reputation as a company that champions safety will also drive new business your way, helping you to grow and become an innovator in the industry.
Materials management
Over or under-ordering materials needed for a project can be costly both in time and financially. By using remote or automatic materials management you will be able to minimise waste as well as ensure that materials are delivered on time to the construction sites.
You can also use this system to check the performance of your suppliers, ensuring that you only use the most reliable contracts. This system will also allow you to keep on top of supplier requirements, such as contract renewals, payments and meetings.
Risk management
Keeping your workers safe should be one of the top priorities for every project. Using AI to support your risk analysis before the project begins can help to prevent accidents or injuries. It can be used during the project too for things like the weather forecast so that you can adjust your timeline without wasting time.
By having a comprehensive risk management assessment, you can make sure your workers are kitted out in appropriate protective clothing such as site work boots, as well as make sure the equipment they need is on hand and in good working order.