Micro-electro-mechanical gas sensor chip preparation method and chip

By optimizing the linewidth and connection method of the heating electrodes, and combining neural network models and multiphysics coupling simulation, the problem of temperature field non-uniformity in microelectromechanical gas sensors was solved, achieving hardware signal output with zero software compensation, reducing power consumption and improving chip consistency and reliability.

CN122409765APending Publication Date: 2026-07-17SHENZHEN ZHIXIN WEINA TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN ZHIXIN WEINA TECH CO LTD
Filing Date
2026-04-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing MEMS gas sensors suffer from high power consumption due to software compensation issues caused by uneven temperature field distribution on the surface of micro-hot plates, which cannot meet the extreme energy efficiency requirements of passive IoT or micro wearable devices.

Method used

By collaborating across the entire process of design, manufacturing, testing, and circuit solidification, and by employing random key coding and evolutionary algorithms to optimize the linewidth and connection method of the heating electrodes, combined with neural network models and multiphysics coupling simulation, hardware signal output with zero software compensation is achieved.

Benefits of technology

This achieves microwatt-level power consumption reduction, ensuring chip consistency and reliability, and avoiding energy efficiency losses caused by high-power software algorithms.

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Abstract

本申请公开了一种微机电气体传感器芯片制备方法及芯片。该方法包括:S1,将加热电极划分离散段,以线宽、线间距和连接方式为变量,通过随机键编码和进化算法迭代优化电极几何参数;S2,晶圆制造后进行光学检测和电学检测,剔除线宽偏差和响应特性偏离的芯片;S3,封装后进行超声扫描检测,剔除形变超标的芯片;S4,对芯片进行老化测试和环境适应性测试,剔除稳定性和抗干扰能力不足的芯片;S5,将信号处理电路中的乘法器替换为移位寄存器和加法器,生成移位‑加法逻辑网表并固化至芯片中。本申请实现了零软件补偿的纯硬件信号输出,将功耗降至微瓦级,保证了芯片的一致性和可靠性。
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