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集成度、智能化、体积更小是未来传感器发展的必然趋势!
作者: 时间:2023-05-24 09:15 阅读数:

  在智能制造发展的大趋势下,传感器也在发生着改变。目前传感器正在经历单一材料到复合材料、简单结构到系统结构的过程,而原有的物理量感应功能也在进行智能化转化。

  Under the trend of intelligent manufacturing development, sensors are also undergoing changes. At present, sensors are undergoing a process from a single material to a composite material, from a simple structure to a system structure, and the original physical quantity sensing function is also undergoing intelligent transformation.

传感器

  据相关数据显示,MEMS传感器的增长主要在汽车电子领域。而这种增长正是与汽车电子的正向、快速发展有关。未来五年间,全球汽车电子市场规模将持续增长,至2023年,这一规模将超过3500亿美元。

  According to relevant data, the growth of MEMS sensors is mainly in the field of automotive electronics. And this growth is precisely related to the positive and rapid development of automotive electronics. The global automotive electronics market will continue to grow in size over the next five years, and by 2023, this size will exceed $350 billion.

  在人工智能交互方面,ECM麦克风等传统传感器工作相对繁琐,并不是应用在需要采用数组架构的智能语音助理应用中的最佳选择。

  In terms of artificial intelligence interaction, traditional sensors such as ECM microphones are relatively cumbersome and not the best choice for applications that require array architecture in intelligent voice assistants.

  其次,在智能交互中,传统单个麦克风也逐渐被多个麦克风阵列所替代,这也促使MEMS麦克风使用量大幅度上升。

  Secondly, in intelligent interaction, traditional single microphones are gradually being replaced by multiple microphone arrays, which has also led to a significant increase in the use of MEMS microphones.

  作为一款集成化程度较高的传感器产品,MEMS麦克风制造的难点主要集中在将各类异构微机械、微电子元件、微能源封装在一个微系统中,而其制造技术与IC晶圆制造类相类似但不需要先进制程。

  As a highly integrated sensor product, the difficulty in manufacturing MEMS microphones mainly focuses on encapsulating various heterogeneous micromachines, microelectronic components, and micro energy sources into a single microsystem. Its manufacturing technology is similar to that of IC wafer manufacturing, but does not require advanced processes.

  目前来看,为了适应新的储存、计算和通信功能,缩小至纳米级的内部元件、并集成更多晶体管和储存器,即封装方式和新材料引入自然成为MEMS麦克风未来发展的趋势。

  At present, in order to adapt to new storage, computing, and communication functions, shrinking to nanoscale internal components and integrating more transistors and memories, namely packaging methods and the introduction of new materials, naturally become the future development trend of MEMS microphones.

  图像传感器是一种将光学图像转换成电子信号的电子设备,主要应用到电荷耦合器件和互补金属氧化物半导体两种技术,其中CCD是线性传感器,其输出与接收到的光子数量直接相关,而CIS是一种较新的并行读出技术。

  Image sensor is an electronic device that converts optical images into electronic signals, mainly applied to two technologies: charge coupled devices and complementary metal oxide semiconductors. CCD is a linear sensor, and its output is directly related to the number of photons received. CIS is a relatively new parallel readout technology.

  说到指纹识别,就绕不开智能手机。据统计,指纹传感器市场从2013年几乎为零的市场规模至2016年已发展到25.5亿美元,其中88%的产品为满足手机应用。毫不夸张的讲:手机引入指纹解锁技术拉动了整个指纹传感器市场的飞速发展。

  When it comes to fingerprint recognition, it's hard to avoid smartphones. According to statistics, the fingerprint sensor market has grown from almost zero market size in 2013 to $2.55 billion in 2016, with 88% of its products meeting mobile applications. It is no exaggeration to say that the introduction of fingerprint unlocking technology into mobile phones has driven the rapid development of the entire fingerprint sensor market.

  指纹传感器在技术上包括电容式、光学式、热感式和超声波传感扥四类,其中电容式指纹传感器属于传统技术,目前市面上所普遍使用的正是该技术。而随着手机工艺的发展和技术的革新,屏下光学和超声波式指纹传感器市场逐渐扩大。

  Fingerprint sensors include four types of technology: capacitive, optical, thermal, and ultrasonic sensors. Among them, capacitive fingerprint sensors belong to traditional technology, which is currently widely used on the market. With the development of mobile phone technology and technological innovation, the market for off screen optical and ultrasonic fingerprint sensors is gradually expanding.

  集成度更高、更加智能化、体积更小是未来传感器发展的必然趋势,这也就意味着其将满足更多行业、领域和场景的应用要求,安装也更为方便。同时,为适应智能制造的发展,智能化也更加成为传感器发展的重要方向。智能化就是传统传感器的“感知”能力被重新定义,并赋予“分析”和“发出指令”。

  Higher integration, intelligence, and smaller size are inevitable trends in the development of sensors in the future, which means they will meet the application requirements of more industries, fields, and scenarios, and installation will also be more convenient. At the same time, in order to adapt to the development of intelligent manufacturing, intelligence has also become an important direction for the development of sensors. Intelligentization refers to the redefinition of the "perception" ability of traditional sensors, and the empowerment of "analysis" and "issuing instructions"。