Smart construction managers know that artificial intelligence will help them improve the adaptability of buildings, not just automation. However, many construction managers do not use the data generated by the building and AI technology correctly.
According to the latest survey of smart building technology facility managers and other end users, in the next few years, artificial intelligence in smart building management will become a necessary condition to make buildings more adaptable, not just automated.
The analysis company Omdia conducted a survey of 248 facilities, security and IT managers and senior managers of intelligent building technology and found that 87% said they believe that AI will become a “necessary element of intelligent building management.”
However, Omdia estimates that only a small part of today’s global building management system (BMS) platforms rely on AI analysis to implement smart buildings. The company’s artificial intelligence analysis market share in 2019 was US$257 million, accounting for only 10% of the global US$2.5 billion BMS platform market. Omdia also listed that the market size of connected smart building equipment (including sensors and related embedded devices) is many times larger and will reach $12.3 billion by 2019.
Thomas Barquin, Senior Analyst for Smart Buildings at Omdia, said: “Belief in AI and investment in smart building solutions exist.” “Artificial intelligence is considered the natural way forward. With the continuous development of these solutions, there are Help improve operational efficiency and effectiveness.”
He said that artificial intelligence is gradually starting to play a role in smart buildings, “it has great potential to make smart buildings truly intelligent and adaptive, not just automation.”
Today, the intelligent building management system can lock the entrance during off hours and reopen it during business hours. With AI, if a fire or other emergency is detected in a part of the building, the system may automatically open the door for entry during off hours. Advanced AI systems connected to motion sensors can even guide firefighters or police officers to the location of the victim or offender in the facility.
In a more everyday example, today’s smart building temperature control system will know to turn on the air conditioner some time before the building opens, so that tenants can work at a comfortable temperature. With the help of AI, the system can monitor the real-time weather forecast through additional information from sensors, thereby optimizing the building control system.
David Green, another analyst at Omdia, said via email: “We are just exploring the true possibilities of AI in smart buildings.” “As far as the system can be analyzed, learned, and re-applied, the functions of artificial intelligence may be better than ordinary End users can also implement or invest in more advanced.”
Green added: “AI is definitely an added cost because the industry and end users will continue to learn every time a new application is added.” “Then the exciting part about AI is the snowball effect, connecting and feeding into the system. The more information there is, the more powerful and beneficial the output or cost savings can be.”
As widely understood by data scientists, effective and reliable AI insights come from developing large data sets to allow proper machine inference. Omdia’s survey found that 77% of building managers have stored data generated by sensors in their facilities, but 42% do not analyze the data to identify changes and patterns to improve building operations. Artificial intelligence may become a factor in the analysis in the next few years, just as artificial intelligence is used online to analyze customers’ purchasing decisions and music selection preferences.
In addition to the AI findings, the Omdia survey found no surprise that the most influential factor in the deployment and adoption of smart building technology is to achieve long-term savings and reduce energy usage and costs. Improving safety is the third priority for smart building managers, and the fourth priority is “creating a more comfortable environment for customers and job retention.”
Barquin said that human-centered attention “is becoming a popular business driver in the smart industry, influencing investment decisions and smart building strategies in certain verticals, such as office buildings.”
Respondents also stated that the greater challenge they face in implementing the Internet of Things and smart building technologies is the prevalence of old systems in existing non-residential buildings. This concern is related to another challenge identified by the interviewees, namely the lack of software interoperability. Fortunately, as Omdia has seen in a number of industry surveys and studies, the market for connected devices has shifted from proprietary protocols to open protocols in the past decade.
Omdia found that 74% of the respondents are mainly in favor of using the BMS platform, while 69% of the respondents are in favor of equipment as a solution technology to reduce upfront costs.