Accuracy will be especially important in IoT applications

In the Internet of Things and mobile, wearable electronic devices, in addition to the MCU, another corner is the sensor . The layers that the sensor touches include motion sensing, environmental monitoring, etc. Since the Internet of Things has higher requirements for sensors in applications, such as high power consumption requirements, it is particularly necessary to improve sensors with lower power consumption. Sensor usage time. However, from the recent beginning, sensors have turned from low-power demand in the past to higher requirements for accuracy. For accuracy, what is required is noise, stability, and smaller error values.

Chen Jiancheng, marketing manager of analog, MEMS and sensing components for ST Asia Pacific, pointed out that accuracy is especially important in IoT applications. This is because the current trend in the Internet of Things is that the applications on the back end are different from the past. The main point is that these applications usually need to be executed by algorithms. In the past, the concept of IoT application mostly focused on obtaining data through hardware. As long as the data error is not too large, it is within the acceptable range, and then all the work is handled by software.

But today's engineers find that when the data is processed in the software, more accurate results are often needed. When these softwares are executed in the MCU, since the MCU itself has to deal with many different computing operations in the IoT application context, the current engineering staff will hope that the data data transmitted from the sensor side does not need to be used. The data resources of multiple MCUs can optimize these data information. The first-hand data received from the sensing end is expected to be accurate, and the exact meaning is that the data generated by each action can be closer to the action itself. Data changes.

At present, many manufacturers are actively working towards the direction of sensor optimization. For example, ST in the sensor manufacturing process and production line test, the signal is more optimized, which not only allows the sensor to be undistorted, but also filters out some The required noise actually presents the original appearance of the signal.