Circuit and method for measuring pressure distribution through piezoresistive sensing array

Abstract

The invention discloses a circuit for measuring pressure distribution through a piezoresistive sensing array, and belongs to the technical field of pressure measurement. The circuit comprises the piezoresistive sensing array consisting of piezoresistive sensors distributed in an array; a reverse analog gating module; a forward analog gating module; a controller; and an analog-to-digital converter,wherein one end of each piezoresistive sensor is connected with the corresponding scanning port, the other end of each piezoresistive sensor is connected with the corresponding sampling port, and a controllable three-state gate is arranged between each piezoresistive sensor and the corresponding sampling port; the piezoresistive sensor is connected with a nominal resistor. According to the invention, the scanning port of the reverse analog gating module and the sampling port of the forward analog gating module can be communicated with the piezoresistive sensor in the piezoresistive sensing array through the controller; the pressure of the piezoresistive sensor can be simply and rapidly calculated, pressure distribution mapping based on the position of the piezoresistive sensor is formed,the scanning sampling speed is high, the measurement error is small, the structure is simple and easy to implement, cost is low, power consumption is low, and the method is suitable for industrial application and popularization.

Description

technical field [0001] The invention relates to the technical field of pressure measurement, in particular to a circuit and method for measuring pressure distribution through a piezoresistive sensing array. Background technique [0002] With the development of big data and high-speed computing technology, artificial intelligence has also gained deeper and wider applications and development in various fields. A complete set of artificial intelligence systems or applications includes data acquisition operations, cognitive understanding and actions. Feedback, the breadth, accuracy and speed of data acquisition by system equipment largely determine the degree of intelligence of the system. For smart devices, the acquisition of data basically relies on various sensors, such as light sensors, pressure sensors, force sensors, gas sensors, etc. The better cooperation of multiple sensors can increase the breadth of data acquisition and improve the quality of smart devices. The abili...

AI Technical Summary

Problems solved by technology

For smart devices, the acquisition of data basically relies on various sensors, such as light sensors, pressure sensors, force sensors, gas sensors, etc. The better cooperation of multiple sensors can increase the breadth of data acquisition and improve the quality of smart devices. The ability to perceive information, the structure of the sensor array composed of numerous fusion or single-category sensors and the design of the sensor data sampling circuit will directly affect the accuracy and speed of data acquisition, thereby affecting the performance of smart devices and real-time application effects

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