When you know well in advance if a machine could fail because an Internet of Things (IoT) device sent an alert, you can experience significant benefits. Predictive maintenance is one of the main drivers for implementing IoT remote monitoring.
In the article link below, Tech Writer Nahla Davies of Security Boulevard shares the advantages of IoT remote monitoring in manufacturing and other industries where machines are essential to productive and profitable operations.
The Internet of Things (IoT) can be used for more than just remotely turning on your coffee pot; the IoT can also seemingly predict the future. Today, companies are turning to IoT-enabled remote monitoring tools that can use predictive maintenance to analyze how assets operate.
These new processes can increase productivity, lower maintenance costs, and eliminate downtime. Predictive maintenance, coupled with machine learning and artificial intelligence, can increase your return on investment by ten times.
Machine learning models are able to predict when equipment will fail and also prevent failure by adjusting parameters. If your devices do fail, predictive maintenance can detect these failures, ascertain their cause, and then also present possible fixes. All of this is made possible by IoT monitoring.
This article will examine how remote IoT monitoring works and how predictive maintenance makes it all possible.
Whether it’s a rental home, family vacation home, cabin, or second home, you need to know it’s safe from threats like trespassers, vandalism, or flooding. If these homes connect to the IoT, owners and property managers can immediately know what’s happening via mobile devices. Data from wireless IoT sensors connected to plumbing, entryways, HVAC systems, propane tanks, and more is nearly instantaneous.
You can know if someone opens a door or window when the home is supposed to be vacant. Or if there’s a risk of property damage because of extreme heat, humidity, or cold. The IoT continues to evolve and improve real estate management processes for better efficiency, resource allocation, asset protection, and cost savings.
Learn how property managers remotely monitor and automate daily check-ins on its portfolio of second and vacation homes. They do it with real-time data points from fast-install IoT sensors and meters.
In 2021, Ericsson Research, an arm of one of the leading global information and communication technology (ICT) service providers, studied how new technologies like the IoT impact the workforce worldwide. It’s a common worry of humankind that technology will one day put all of us out of work.
Read the beginning of Elena Giulia Clemente’s article about her master’s thesis, “Connected and Employed: Empirical Evidence on the Internet of Things in a Panel of Countries. Her research responds to concerns that new technologies and automation make more workers redundant compared to the new job opportunities created.
Or, click a link to the full article on Ericsson.com below.
According to new empirical findings, IoT usage can actually be linked to higher employment in markets where IoT connections are high. Below, I dig deeper into the previously unexplored relationship between IoT and the labor market.
Since the Industrial Revolution, at the very least, workers have feared that new technologies might make their jobs obsolete: worried they may become redundant, the Luddites burned and destroyed the machinery that was threatening them. Economists, too, have debated about the impact of technological change on labor demand. A popular view, supported by empirical evidence, is that new technologies may displace workers in certain sectors or tasks while increasing the need for others.
Among new technologies, the Internet of Things (IoT) has received a great deal of attention. […] It is therefore of interest to ask: Does IoT have an effect on the labor market of a country? And, if yes, is the effect different in developed and developing countries?