Hangin' Tough - Armored Cables

October 11, 2018 at 8:00 AM

 

When your cables need serious protection and the ability to stand up to the toughest conditions, an armored jacket might be the perfect solution. Armored cables are cables with a metal or plastic covering that provides a layer of protection that is much stronger than any traditional type of cable jacket. This suit of armor makes the cables extra tough and durable, now let’s take a look at just how tough they are.

 

The rugged characteristics of armored cables make them ideal for outdoor, industrial and military applications where these features are of the upmost importance. This includes factory automation, manufacturing and chemical and petroleum processing networks.

 

One of the biggest advantages of armored cables is there crush resistance rating. L-com’s metal armored cables offer a crush resistance of up to 1,500 PSI

which makes them well suited for just about any military or industrial application. Additionally these cables feature stainless steel armor that stands up to corrosion often found in extreme environments.

 

Plastic armor, although not as rugged as metal armor, offers an extra level of crush and abrasion resistance

when compared to non-armored cable jackets. L-com’s plastic armored cables feature a crush resistance of up 800PSI.

 

Even with all that armor, these cables are still capable of high speed transmission rates. Plus, they are offered in multiple varieties to suit a wide range of applications, including armored Ethernet, armored USB, armored HDMI, armored D-sub and armored DVI cable assemblies.

 

No doubt, armored cables are tough enough to withstand the abuse that might be faced in harsh environments and rugged conditions, and if you don’t believe us, watch this.

 

The IIoT and Manufacturing

February 22, 2018 at 8:00 AM

 

The Internet of Things (IoT) is revolutionizing many industries, including manufacturing. With the introduction of the Industrial IoT (IIoT) and all of its benefits, manufacturing is being transformed by value-add opportunities and smart technology. In fact, manufacturing, transportation and utility industries are forecast to make the largest IIoT investments. However, there is a lot of work that goes into IIoT implementation. Here, we’ll take an in-depth look at how the IIoT is changing manufacturing.

 

Traditionally, manufacturing companies focused on large operations that required a large capital layout with the goal of consistency and repeatability. Organizations adopting IIoT technology must not only dedicate capital to technological improvements, but also change the way they do business. Return on investment is driven by connected operations, smart preventative maintenance and predictive analytics. As IIoT implementation accelerates the speed of business, companies must increase the speed of their internal processes to keep up the pace. Introduction of the IIoT has also shifted customer expectations. Customers expect companies to be nimble and adaptive, and so the manufacturing processes must evolve to meet those expectations.

 

With all of the changes that come along with the IIoT, completing a successful rollout is a challenging task. Security is an issue to consider, if your systems are breached, production can come to a halt. Another challenge is the slow adoption of standards and interoperability. It can be expensive to upgrade your equipment. Also, many manufacturers prefer to use their own proprietary technologies, which may not meet IoT standards. Correctly interpreting the analytics to create the best outcome is a challenge, it takes time to understand how to best integrate the IIoT as a part of the manufacturing process and into your specific business model. Resistance to change also can slow the adoption of the IIoT and its overall success in the industry. For smaller operations, implementing the IIoT and everything that goes along with it, may seem like an insurmountable task. Thus, many of the companies leading the way are large, complex, industrial operations that can absorb large projects, such as an IIoT rollout. 

 

The IIoT offers an array of benefits to the manufacturing industry, but integration of this revolutionary technology is a process that doesn’t happen overnight.

 

How Big is Big Data

December 7, 2017 at 8:00 AM

 

Big data is the driving force behind many of today’s technological trends. Artificial intelligence, data science and the Internet of Things (IoT) all depend on big data to keep them going, but the idea of big data is still incomprehensible for many. The fact is, big data touches all of our lives, whether we’re aware of it or not. Here, we’ll help you wrap your mind around just how big, big data is.

 

Every time we use our smart phones, tablets or computers for things like GPS, social media, online purchases or to download a new app, we are creating data and leaving a digital footprint. This year, a mind-blowing 7.7 zettabytes (7.7 billion terabytes) of data is expected to be transmitted through mobile networks globally, which is only a portion of the total data being processed through data centers around the world.

 

What do we do with these billions of terabytes of data? All of this sensor information, photos, text, voice and video data is used by organizations for insights leading toward better, strategic business decisions. Currently, big data is being used in many industries, including the following:

 

Education – Data provides educators with insights to improve school systems and curriculums to better educate students. Data analysis can also help identify at-risk students, evaluate student and teacher progress, and better support teachers and administrators.

 

Government – Big data analytics allow government agencies to better manage departments and deal with issues like traffic and crime.

 

Health Care – Speed and accuracy are of the upmost importance in health care and big data allows patient records, treatment plans and prescription information to be managed more effectively than ever.

 

Manufacturing – Insight from big data allows manufacturers to solve problems faster and make more agile business decisions, which, in turn, improves quality and output while reducing waste.

 

Retail – Retail companies rely on big data to build relationships with their customers. Understanding customer wants and needs allows retailers to better market to customers, make transactions smoother and bring customers back to shop again.

 

 

Big data is being used for more than business profit, it is also being used to make the world a better place. Here are some areas in which big data is having a big impact:  

 

Disease Research - Data-driven medicine analyzes large amounts of medical records and medical images to identify patterns that can help discover disease early and develop new medicines to treat and prevent diseases like cancer.

  

Feeding the Hungry –  Big data can be used to improve agriculture by maximizing crop harvests, minimizing pollutants emitted into the ecosystem and optimizing use of machines and equipment.

 

Exploring Far Away Planets – Every NASA mission is based on millions of points of data that have been analyzed to expose every possible outcome.

 

Crime Prevention – Police departments use data to develop strategies for resource deployment and to deter crime when possible.

 

Natural and Man-Made Disasters – Sensor data is used to help predict which areas are likely to be affected by earthquakes, hurricanes, tornados and floods. These predictions can save lives by providing advanced notice to area residents. Identified trends in human behavior patterns can help relief organizations better provide aid to survivors. Big data is also used to monitor and protect the flow of refugees escaping war-torn areas around the world.

 

Of course, the more data we collect, the greater concerns become regarding privacy and security. Overall, big data makes our lives better and the benefit might outweigh the risk. Everything from crime prevention and cancer research to online shopping, crowdfunding and planning your next vacation has improved because of big data.

For more information on big data and how it’s processed, check out our blog post Big Data and the Information Autobahn.

 

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