Editor’s note: This article was originally published on January 15, 2018 at hackernoon.com, and was co-written by Wayne Zheng and Kesem Frank. Imagine you are in a rush to get to a client meeting but keep getting red lights. “This is going to make me late!”, the voice inside your head screams. You know your client hates it if you are late, not to mention many other consequences. What if there was a way to optimize your commute so that you would NEVER run into this situation again?
Editor’s note: This article was originally published on April 18, 2017 at readwrite.com. All machines eventually break down. Self-driving vehicles are no exception. Autonomous vehicles pose two problems for the future of vehicles. The removal of the driver means there is no person providing feedback on how the vehicle performs over time. You are removing the point-person who says “something feels wrong, this needs to be checked out.”
Editor’s note: This article was originally published on March 22, 2017 at readwrite.com When people think of a car, they think of the thing that gets them from one place to the next. Traditionally they have been just that: a tool with a single function – to get someone, or something, from one place to another. With the advent of new vehicle designs and the addition of new technology, that is going to change.
A common question, “What value would Predictive Maintenance have to offer my fleet that I’m not already receiving from the preventive measures I have in place?” The person responsible for the fleet is doing a lot of guessing when it comes to knowing when a vehicle actually needs to be scheduled and brought in for maintenance. Large fleets are inclined to be very meticulous on their preventive services to change out fluids, grease the vehicle, and change out parts.
At Preteckt, we not only offer you a tool to maximize your fleet uptime, we also give you diagnostic expertise from our highly trained “cyber mechanics” who translate your vehicle sensor data into actionable work suggestions that save you valuable repair hours. They are industry certified technicians with real-world shop experience who have been trained to work directly with our data science team to provide you with high-value, real-time diagnostics.
December 4, 2017 was just another Monday. I had just started my daily routine when I noticed an unusual email in my inbox. Unusual, because the sent from was from the North Pole. I curiously opened and to my surprise and amazement it was from the one and only Santa Claus! I immediately brought this to the attention of the Preteckt team. The email read as follows:
The trucking industry is changing rapidly through mobile and connectivity advancements known as the Internet of Things (IoT). Through the use of smart gadgets, companies have improved how they carry out their operations, and made work more efficient and safer. Not only do enterprises stay connected to their drivers via a centralized network, but also, and more importantly, essential data is recorded in real-time. From slashing road safety issues to enhancing monitoring systems in fleet management, the IoT makes trucking a more effective business.
We knew it would be a challenge to introduce and explain predictive technology. Here are just a few real-world examples of the resistance to a new and improved approach to maintenance and service. It paints a picture of an industry that has seen more than its fair share of snake oil sales. “I hold up my BS card to you. That sounds like using an electronic crystal ball to tell you when to do maintenance”.
What value does Predictive Maintenance really offer? There are many skeptics who believe it’s just smoke and mirrors. Allow me, a guy who knows nothing about technology, to tell you why I wish I had predictive maintenance on my car. Growing up, we always had clunkers or junkers, whichever you prefer to call them, but these were old cars that broke down all the time. I had to learn early how to change tires, brakes, spark plugs, batteries, and even certain hoses.
Preteckt CEO and Co-founder Ken Sills, recently wrote about Industry 4.0 on LinkedIn. It’s a well written piece on how machine learning (ML) and predictive maintenance (PdM) are actually already all around us. Here is a preview… Your heart rate and blood pressure depend on so many factors, but those factors are measurable. And these days, with essentially free data storage and compute capacity, there is every reason to be building a deep context using every measurement possible.