Intelligent sensors to improve the level of industrial automation widely used

In today's increasingly competitive global marketplace, efficient industrial manufacturing often depends on the speed, accuracy and reliability of each factory automation system. Even in areas with low labor costs, manufacturers are eager to improve the sophistication of their automation systems because they know that not doing so would jeopardize their position in the global economy. At the heart of industrial automation is a new generation of advanced smart sensors that keep the product line up and running, connected to high-performance programmable logic controllers (PLCs) and human-machine interface (HMI) systems through low latency and real-time networks. Of course, for the manufacturer, time is money. As long as the manufactured product can reach the specified quality level, the efficient production line will run continuously as fast as possible. High-speed, reliable sensors must monitor or measure the state of the production line very quickly (in milliseconds or even faster). Afterwards, the network must transmit this information with minimal delay and without disrupting production. Application and direction Intelligent sensors have been widely used in aerospace, aviation, defense, science and technology and industrial and agricultural production and other fields. For example, it has broad application prospects in the field of robots. Smart sensors enable robots to have human-like features and brain functions, and can sense various phenomena and perform various actions. In industrial production, the use of conventional sensors makes it impossible to quickly and directly measure and online control certain product quality indicators such as viscosity, hardness, surface finish, composition, color and taste. The use of intelligent sensors can be measured directly with the product quality indicators have a functional relationship between the production process of certain quantities (such as temperature, pressure, flow, etc.), the use of neural network or expert system technology to establish a mathematical model to calculate the product can be inferred the quality of. In the medical field, people with diabetes need to keep their blood glucose levels ready for diet and insulin injections to prevent other complications.