And performance data is collected from numerous points on the vehicle for analysis. Sensors measure the pressure and temperature of the tires, the engine temperature and oil pressure, among other key performance indicators. An F1 car has hundreds of sensors on it, which are used for control of the vehicle, as well as monitoring its performance. The driver is supported by engineers on the track, stationed locally and at team headquarters. They use cutting-edge technology to develop incredibly complex machines, constantly tweaking the formula. These days, teams design new cars every few years. Other times, although they identified a problem early enough, they didn't have the right spare parts to fix it. Often, by the time they spotted a problem, it was too late to make a change. They watched the car accelerate and turn and brake, looking and listening for problems. Once the car got to the track, the driver communicated information about the car's performance based on the feel of the car and what could be seen. Years ago, F1 cars were designed by instinct, experience and history. For these teams, remote monitoring is an important means for achieving gains in performance and reliability. They use every tool at their disposal to design, tune and maintain Formula 1 (F1) cars in the pursuit of excellence. In an industry where hundredths of a second can mean the difference between winning and losing, race teams are looking for any advantage they can get. The Formula 1 United States Grand Prix showcases precision, high performance and innovative vehicles driven by best-in-class drivers.
What the Process Industry Can Learn from Formula 1 Racing about Remote Reliability and Performance Monitoringįor the past three years, the top teams in the world have gathered at a 5.5 kilometer track in Austin, Texas, on a Sunday in November to race for 56 laps at speeds pushing 200 mph.
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