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Choosing the Right IoT Platform - Complete Guide
| September 5, 2019
Sagitrón - Electronic Component Distributor since 1974, our experience and professional support service to our customers in applications for the sector of industrial electronics, automotive...
Article | April 7, 2020
Water is one of our most precious resources. Yet every year, we lose more than 126 million cubic meters globally to leaks, poor metering and theft. Beyond that is the energy wasted moving water that never gets used. It adds up to staggering economic – and environmental – costs. It also presents one of the most compelling opportunities to use industrial IoT solutions. Water utilities can use IoT to address two fundamental aspects of water management: maintaining the physical infrastructure and addressing water safety and sustainability. With IoT sensors throughout a water utility’s infrastructure, it becomes possible to. In many ways, these uses mirror what’s possible in manufacturing. But while factory floors are condensed environments – with all assets located in a confined area – water utilities operate highly distributed environments. Reservoirs, pipes, pumps and other assets are spread across a massive physical footprint. Such environments introduce some unique challenges. One of the most pressing is cost. Capturing data across a massive infrastructure – and moving it to the enterprise and/or cloud – is a heavy lift. That’s especially true when considering the criticality of timely transmission and analysis of water data. Any delay can contribute to continued losses.
Artificial Intelligence and Internet of things are hot topics now, as a consequence, integrating AI into IoT is becoming a common practice. The healthcare system is everybody’s business, so finding one's way around is equally important for all. Yet, keeping all the details in mind is no easy task. There are limits to human mental and physical performance. Thus going beyond one’s maximum has to be relegated to such technologies as the Internet of things and Artificial Intelligence. The implementation of innovative solutions in healthcare is always a good idea and IoT together with AI are strong drivers of the digital transformation regardless of what field the technologies are applied in. Municipal infrastructure, smart homes, retailing, manufacturing, supply chain, education, healthcare and life sciences — the entire digital ecosystem, an IoT ecosystem of connected devices, has been created and is growing stronger with each passing day. Empowered with Artificial Intelligence and Machine Learning, among other things, IoT is used as a means of equipping people with intelligent assistance. Gradually, it is taking over both minor and major processes in a number of industries. Healthcare is no exception.
The Internet of Things is gradually penetrating every aspect of our lives. With the growth in numbers of internet-connected sensors built into cars, planes, trains, and buildings, we can say it is everywhere. Be it smart thermostats or smart coffee makers, IoT devices are marching ahead into mainstream adoption. But, these devices are far from perfect. Currently, there is a lot of manual input required to achieve optimal functionality — there is not a lot of intelligence built-in. You must set your alarm, tell your coffee maker when to start brewing, and manually set schedules for your thermostat, all independently and precisely.
Trying to secure the industrial network in one go is like boiling the ocean. Better to view it as a journey. At each step in the journey, you’ll make incremental changes to people, process, and technology.
Minimal security. This is the current state for most manufacturers. If you’re here, you’ve segmented the industrial network from the IT network. Traffic can’t cross from the IT network to the industrial network without clearing the DMZ. You can block malware from entering the industrial network. You can block malware from leaving the industrial network to infect the enterprise network. But if the industrial network is exposed to malicious software, you don’t have a way to contain it. That means the malware might affect multiple manufacturing cells or production lines — even multiple plants.
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