Smart buildings present a set of unique challenges that building managers also have to keep in mind when implementing a solution. Here are a few specific ways connected IoT solutions will continue to drive the growth of smart buildings: creating energy-efficient management solutions; predictive maintenance; and leveraging real-time insights.
IoT has limitless potential when it comes to its widespread impacts on various industries around the world, and we can’t wait to see what’s in store for the future. These four industries are further proof of how the increasing adoption of IoT technology will have a positive impact in the very near future: banking, design & manufacturing, healthcare, and the rise of smart cities.
5G is changing the main source of revenue for communications service providers (CSPs). With 4G, most revenue came from cellphone subscriptions. But connected devices—many tied to Industry 4.0 applications like remote patient monitoring and synchronized production-line robots—are expected to drive 95% of new revenues in the 5G era (Ericsson, 2017). This will ramp up quickly; GSMA predicts there will be five times more connected devices than humans by 2025 (2019 stat).
If the industry is to realize the promised benefits of IoT, we must increase the ability to support more machine-to-machine communications in near-real time, where latency requirements are on the order of a couple of milliseconds. Satisfying these requirements involves a radical rethink about how and where we deploy assets throughout the network. Link reliability will be every bit as critical as latency and will involve multiple failovers wherever that data is being transported.
There are billions of connected devices in use worldwide, and that number is increasing by the millions every year. Unfortunately, many of these IoT devices, as well as those currently being developed and deployed, lack critical security features, making them easy targets for hackers and botnets. Without the proper security measures in place, these devices can lead to catastrophic events.
The Internet of Things isn’t a separate internet. It’s more like a growing accommodation for the unique requirements of connected devices that are not under immediate human direction, and which aren’t intended to be a human-internet interface. The connections provided to these devices will likely serve new applications. The huge number of anticipated devices requires us to rethink the technical means and economics of connections.
Over 80% of new builds now involve at least one aspect of smart technology such as smart security, lighting or controls, including new homes as well as commercial builds. But with all this smart technology potential, building owners and users are now faced with other challenges: data overload, confusion about choices of which technology suits their needs and the decisions they need to make for their return on investment (ROI) over time.
Building automation, as a working discipline, has been around for ~ 30 years. By the turn of the century many buildings were equipped with computers/controllers that could connect to the internet and provide greater control over many building parameters (temperature, lighting, access, security, etc.). Those buildings could be considered “automated” but they were not “smart”. Smart buildings are the next phase of this evolution. The Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) are combining to make buildings more dynamic, more adaptive, and more efficient. This article addressees the current challenges faced by building operators and facility managers and how emerging technologies can address these challenges.
Just a few years ago, many expected all the Internet of Things (IoT) to move to the cloud—and much of the consumer-connected IoT indeed lives there—but one of the key basics of designing and building enterprise-scale IoT solutions is to make a balanced use of edge and cloud computing. Compared to cloud-only solutions, blended solutions that incorporate edge can alleviate latency, increase scalability, and enhance access to information so that better, faster decisions can be made, and enterprises can become more agile as a result.
The paper presents a comparative classification of reference models used in IoT technology. Examples of the construction of cores used in telecommunications silica-fibers are presented. Exemplary simulation models of SM-MCF and FM-MCF modal structures has been presented. Attention was paid to the need to construct MCFs, which can be used in local access networks as well as in distribution and indoor networks.
