REFLECTIVE ELEMENT FOR FIBER OPTIC SENSOR
    73.
    发明申请
    REFLECTIVE ELEMENT FOR FIBER OPTIC SENSOR 有权
    光纤传感器的反射元件

    公开(公告)号:US20150346399A1

    公开(公告)日:2015-12-03

    申请号:US14670691

    申请日:2015-03-27

    Applicant: Qualitrol, LLC

    Abstract: A reflective element for directing an optical signal into a fiber optic sensor having an optical fiber includes a plane containing a sharply defined straight line that separates between a first area of low reflectivity and a second area of high reflectivity. The plane is disposed parallel to a free end surface of the optical fiber so that the free end surface intersects the line of the reflective element, whereby relative movement between the free end surface of the optical fiber and the line in response to a physical change sensed by the fiber optic sensor induces variations in an optical signal reflected by the reflective element through the optical fiber, which variations allow measurement of the physical change.

    Abstract translation: 用于将光信号引导到具有光纤的光纤传感器中的反射元件包括包含在第一低反射率区域和高反射率的第二区域之间分离的明确限定的直线的平面。 平面平行于光纤的自由端面设置,使得自由端表面与反射元件的线相交,从而响应于感测到的物理变化而在光纤的自由端表面与线之间的相对运动 光纤传感器通过光纤引起反射元件反射的光信号的变化,这些变化允许测量物理变化。

    Particle Detector and Method for Producing Such a Detector
    74.
    发明申请
    Particle Detector and Method for Producing Such a Detector 有权
    颗粒检测器及其生产方法

    公开(公告)号:US20150116710A1

    公开(公告)日:2015-04-30

    申请号:US14496072

    申请日:2014-09-25

    Inventor: Sergio Nicoletti

    Abstract: The invention relates to a particle detector including a substrate made of a semiconductor material, in which at least one through-cavity is formed, defined by an input section and an output section, wherein the input section thereof is to be connected to an airflow source, the substrate supporting: an optical means including at least one laser source, and at least one waveguide connected to the at least one laser source and leading into the vicinity of the output section of the cavity; and a photodetector located near the output section of the cavity and offset relative to the optical axis of the optical means.

    Abstract translation: 本发明涉及一种粒子检测器,其包括由半导体材料制成的衬底,其中形成有由输入部分和输出部分限定的至少一个通孔,其中输入部分将连接到气流源 所述基板支撑:包括至少一个激光源的光学装置和连接到所述至少一个激光源并且通向所述空腔的输出部分附近的至少一个波导; 以及位于腔的输出部分附近并相对于光学装置的光轴偏移的光电检测器。

    Particle Detector and Method for Producing Such A Detector
    75.
    发明申请
    Particle Detector and Method for Producing Such A Detector 有权
    颗粒检测器及其生产方法

    公开(公告)号:US20130120749A1

    公开(公告)日:2013-05-16

    申请号:US13811499

    申请日:2011-07-19

    Inventor: Sergio Nicoletti

    Abstract: The invention relates to a particle detector including a substrate (10, 30, 40) made of a semiconductor material, in which at least one through-cavity (11, 31, 41) is formed, defined by an input section (110) and an output section (111), wherein the input section thereof is to be connected to an airflow source, said substrate supporting: an optical means including at least one laser source (12, 32, 42), and at least one waveguide (13, 33, 43) connected to said at least one laser source and leading into the vicinity of the output section of said cavity; and photodetector means (14, 34, 44) located near the output section of said cavity and offset relative to the optical axis of the optical means.

    Abstract translation: 本发明涉及一种粒子检测器,其包括由半导体材料制成的衬底(10,30,40),其中形成有由输入部分(110)限定的至少一个通孔(11,31,41)和 输出部分(111),其中输入部分将连接到气流源,所述基板支撑:包括至少一个激光源(12,32,42)的光学装置和至少一个波导(13, 33,33),连接到所述至少一个激光源并通向所述空腔的输出部分附近; 以及位于所述空腔的输出部分附近并相对于光学装置的光轴偏移的光电检测器装置(14,34,44)。

    Apparatus for sensing plural gases
    76.
    发明授权
    Apparatus for sensing plural gases 有权
    用于感测多种气体的装置

    公开(公告)号:US07508519B2

    公开(公告)日:2009-03-24

    申请号:US11324481

    申请日:2006-01-04

    Abstract: The apparatus for sensing plural gases is substantially a gas sensor adopting planar lightwave circuit for constructing reference optical path and sensing optical path, which is a flat structure with abilities of high accuracy, long-term stability, and short response time. The gas sensor can be widely applied for monitoring the safety of a working environment, securing the safety of workers, alerting potential hazard in a factory, inspecting harmful materials in a specific area, testing leakage of a pipeline, inspecting waste gas exhausted from automobile/motorcycle, and monitoring the living quality of household environment.

    Abstract translation: 用于感测多种气体的装置基本上是采用平面光波电路的气体传感器,用于构建参考光路和感测光路,该光路是具有高精度,长期稳定性和响应时间短的能力的平坦结构。 气体传感器可广泛用于监测工作环境的安全性,确保工人的安全,警惕工厂的潜在危险,检查特定区域的有害物质,检测管道的泄漏,检查汽车/ 摩托车,并监测住户环境的生活质量。

    Apparatus for sensing plural gases
    77.
    发明申请
    Apparatus for sensing plural gases 有权
    用于感测多种气体的装置

    公开(公告)号:US20070120057A1

    公开(公告)日:2007-05-31

    申请号:US11324481

    申请日:2006-01-04

    Abstract: The apparatus for sensing plural gases is substantially a gas sensor adopting planar lightwave circuit for constructing reference optical path and sensing optical path, which is a flat structure with abilities of high accuracy, long-term stability, and short response time. The gas sensor can be widely applied for monitoring the safety of a working environment, securing the safety of workers, alerting potential hazard in a factory, inspecting harmful materials in a specific area, testing leakage of a pipeline, inspecting waste gas exhausted from automobile/motorcycle, and monitoring the living quality of household environment.

    Abstract translation: 用于感测多种气体的装置基本上是采用平面光波电路的气体传感器,用于构建参考光路和感测光路,该光路是具有高精度,长期稳定性和响应时间短的能力的平坦结构。 气体传感器可广泛用于监测工作环境的安全性,确保工人的安全,警惕工厂的潜在危险,检查特定区域的有害物质,检测管道的泄漏,检查汽车/ 摩托车,并监测住户环境的生活质量。

    Fiber optic chemical sensor
    79.
    发明授权
    Fiber optic chemical sensor 失效
    光纤化学传感器

    公开(公告)号:US5315672A

    公开(公告)日:1994-05-24

    申请号:US764257

    申请日:1991-09-23

    CPC classification number: G01N21/7703 G01N2201/0873

    Abstract: A fiber optic sensor for detecting the presence or concentration of particular chemical or biological species in a zone to be monitored has light-emitting and detecting elements such as a gallium arsenide light-emitting diode and a Schottky diode light detector provided in a semiconductor body, and has an optical fiber formed in situ on a surface of the body to conduct light from the light-emitting diode to the detector. The fiber has a long light-transmitting core of a material such as silicon dioxide deposited on a semiconductor body surface and defined by photolithographic techniques and has a cladding deposited over and around the core of a material of relatively lower refractive index than the core. The cladding material reacts when contacted by the particular chemical or biological species to produce measurable changes in transmission of light through the fiber so that the detector provides an electrical signal representative of the presence or concentration of the species.

    Abstract translation: 用于检测待监测区域中特定化学或生物物质的存在或浓度的光纤传感器具有发光和检测元件,例如设置在半导体主体中的砷化镓发光二极管和肖特基二极管光检测器, 并且在本体的表面上具有原位形成的光纤,以将来自发光二极管的光导入检测器。 光纤具有长的透光芯,例如沉积在半导体主体表面上的二氧化硅的材料,并通过光刻技术限定,并且具有沉积在比芯更低折射率的材料的芯上和周围的包层。 包层材料在被特定的化学或生物物质接触时反应,以产生通过纤维的光的透射变化,使得检测器提供代表物种的存在或浓度的电信号。

    METHOD AND SYSTEM FOR PREDICTING PROPERTIES OF ROCK SAMPLES USING THERMAL SENSING AND MACHINE LEARNING

    公开(公告)号:US20240361264A1

    公开(公告)日:2024-10-31

    申请号:US18309692

    申请日:2023-04-28

    Abstract: A method may include determining a thermal signal for a thermal analysis of a rock sample. The method may further include transmitting various commands to various thermal sources to produce various heat emissions. A respective command among the commands may cause a respective thermal source among the thermal sources to produce a respective heat emission based on the thermal signal. The method further includes determining distributed temperature data of the rock sample using various distributed temperature sensors in response to producing the heat emissions. The distributed temperature sensors may be coupled to the rock sample on a first rock surface and a second rock surface. The first rock surface may be on an opposite side of the rock sample from the second rock surface. The method may further include determining predicted thermal property data of the rock sample using the distributed temperature data and a machine-learning model.

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