[ Security Analysis Network Market Analysis ] The amount of data is growing rapidly. It is estimated that by 2025, the world will generate 463 EB of data every day.
Smart buildings are active participants in the digital world:
By the end of 2018, the installed base of sensors
, actuators, modules, gateways and other networked devices deployed as part of IoT
building automation is estimated to be 151 million, and this number is expected to reach 483 million by 2022.
With so many building owners looking for ways to save energy, reduce operating expenses, and achieve sustainable development goals, there is no doubt that reliance on IoT data is increasing. In fact, the massive amounts of data generated now are the main drivers of edge computing.
In this article, we will define edge computing and its role in the IoT, and why it has the potential to bring huge growth to the entire IoT industry, and discuss some potential use cases in facility management.
What is the relationship between edge computing and the Internet of Things?
Edge computing is a new concept that refers to the ability of certain IoT devices to process and analyze data without sending it to the cloud. Instead, processing occurs at or near the data source (near the "edge" of the network), whether it's the IoT device itself, or a local edge server in the same building or elsewhere nearby.
This is in stark contrast to a typical IoT cloud computing setup where sensors collect data from the built environment and transmit it to a nearby IoT gateway, which aggregates the sensor data and uploads it to the cloud, then Process and analyze it in the cloud.
In the future, building a network infrastructure is likely to combine edge and cloud computing. Large-scale data processing and analysis are performed in the cloud, while edge devices process critical, time-sensitive data locally.
3 advantages of edge computing
Compared to cloud computing, edge computing has several significant advantages:
1. Since the data does not have to be transmitted too far, the processing time can be reduced
Passing data through the cloud can take a few seconds, while edge computing can take only a few microseconds, which can be very valuable in some cases (such as autonomous driving).
2.It provides improved capabilities beyond cloud computing
In particular, applications that need fast processing and response will benefit from edge computing.
▲ For example, driverless cars need edge computing to provide near-instant processing power to make decisions for safe driving.
▲ Smart cities
can use edge computing to reduce the amount of centrally processed data and improve their services by responding faster to problems.
▲ Even medical institutions can take advantage of local processing to provide better medical services for residents in rural areas and recommend treatment plans to patients everywhere.
3.It reduces costs related to data processing
As mentioned above, the amount of data generated by smart buildings is expected to increase significantly in the next few years, so processing costs will also increase accordingly. Since there may be hundreds of IoT devices in a building, it is critical to classify and manage data more effectively. By leveraging edge and cloud computing options, and sending only important data to the cloud, building owners can reduce the costs associated with data processing.
Similar to the development of the mobile phone industry after the introduction of smart phones, the Internet of Things industry is preparing for rapid growth thanks to the development of edge computing. The convergence of increasingly cheap technologies, advances in machine learning, and enhancements in edge computing capabilities will inevitably make IoT solutions more attractive, accessible, and more accessible to more audiences than ever before value.
Application of edge computing in facility management
Thanks to faster processing speeds, once edge computing becomes mainstream, it is likely to create some opportunities for building owners. With smart devices in the field, you can automate more operational decisions. For example, today's smart meters measure the power consumption of a building and send the data to the cloud for processing. Analysis of these data may indicate that the energy usage patterns of buildings are driving up demand costs.
With edge computing, smart meters can process data on-site to make quick decisions to change energy consumption patterns and avoid peak energy consumption. (Source IoT Home Network) These advanced IoT devices can even combine weather data to analyze building data. Therefore, if the temperature of a certain day is higher than the predicted value, it can automatically adjust the “on” time of the compressor of the air-conditioning unit and turn it on in advance to balance energy consumption at a later time.
Edge computing is also helpful for facilities located in areas with insufficient or no bandwidth; it can also be used to improve response time in predictive maintenance applications.
Edge computing will play an important role in the future of the Internet of Things, so don't wait, start using IoT smart sensors now!