Along with process control,perception represents the main function performed by the Edge Layer of an Internet of Things(IoT)network.Many of these networks implement various applications where the response time does no...Along with process control,perception represents the main function performed by the Edge Layer of an Internet of Things(IoT)network.Many of these networks implement various applications where the response time does not represent an important parameter.However,in critical applications,this parameter represents a crucial aspect.One important sensing device used in IoT designs is the accelerometer.In most applications,the response time of the embedded driver software handling this device is generally not analysed and not taken into account.In this paper,we present the design and implementation of a predictable real-time driver stack for a popular accelerometer and gyroscope device family.We provide clear justifications for why this response time is extremely important for critical applications in the acquisition process of such data.We present extensive measurements and experimental results that demonstrate the predictability of our solution,making it suitable for critical real-time systems.展开更多
A high precision detection technique is analyzed based on the optical micro electro-mechanical system(MEMS)accelerometer with double gratings for noise suppression and scale factor enhancement.The brief sensing model ...A high precision detection technique is analyzed based on the optical micro electro-mechanical system(MEMS)accelerometer with double gratings for noise suppression and scale factor enhancement.The brief sensing model and modulation detection model are built using the phase sensitive detection,and the relationship between stimulated acceleration and system output is given.The schematics of gap modulation and light intensity modulation are analyzed respectively,and the choice of modulation frequency in the optical MEMS accelerometer system is discussed.According to the experimental results,the scale factor is improved from 15.45 V/g with the gap modulation to 18.78 V/g with the light intensity modulation,and the signal to noise ratio is improved from 42.95 dB to 81.73 dB.The overall noise level in the optical MEMS accelerometer is effectively suppressed.展开更多
文摘Along with process control,perception represents the main function performed by the Edge Layer of an Internet of Things(IoT)network.Many of these networks implement various applications where the response time does not represent an important parameter.However,in critical applications,this parameter represents a crucial aspect.One important sensing device used in IoT designs is the accelerometer.In most applications,the response time of the embedded driver software handling this device is generally not analysed and not taken into account.In this paper,we present the design and implementation of a predictable real-time driver stack for a popular accelerometer and gyroscope device family.We provide clear justifications for why this response time is extremely important for critical applications in the acquisition process of such data.We present extensive measurements and experimental results that demonstrate the predictability of our solution,making it suitable for critical real-time systems.
基金supported by the National Natural Science Foundation of China(62205377).
文摘A high precision detection technique is analyzed based on the optical micro electro-mechanical system(MEMS)accelerometer with double gratings for noise suppression and scale factor enhancement.The brief sensing model and modulation detection model are built using the phase sensitive detection,and the relationship between stimulated acceleration and system output is given.The schematics of gap modulation and light intensity modulation are analyzed respectively,and the choice of modulation frequency in the optical MEMS accelerometer system is discussed.According to the experimental results,the scale factor is improved from 15.45 V/g with the gap modulation to 18.78 V/g with the light intensity modulation,and the signal to noise ratio is improved from 42.95 dB to 81.73 dB.The overall noise level in the optical MEMS accelerometer is effectively suppressed.
