• 专利标题: CAPILLARY CHANNEL ENVIRONMENTAL SENSOR AND PREPARATION METHOD THEREFOR
  • 申请号: EP21787928.7
    申请日: 2021-04-15
  • 公开(公告)号: EP4137782A1
    公开(公告)日: 2023-02-22
  • 发明人: JIN, InsikQI, BinXUE, Songsheng
  • 申请人: MultiDimension Technology Co., Ltd.
  • 申请人地址: CN Jiangsu 215634 Building D & E No.2 Guangdong Road Zhangjiagang Free Trade Zone
  • 代理机构: HGF
  • 优先权: CN202010305616 20200417
  • 国际公布: WO2021209011 20211021
  • 主分类号: G01D5/14
  • IPC分类号: G01D5/14
CAPILLARY CHANNEL ENVIRONMENTAL SENSOR AND PREPARATION METHOD THEREFOR
摘要:
Disclosed in the present invention are a capillary channel environmental sensor and a preparation method therefor. The capillary channel environmental sensor comprises a transfer cavity and at least one capillary channel. The cross sectional area of the transfer cavity is greater than the cross sectional area of the capillary channel, and one end of the capillary channel is connected with the transfer cavity; an elastic transfer diaphragm is provided between the transfer cavity and an external measurement environment. A positioned droplet is provided in the interior of the capillary channel, the positioned droplet is in tight contact with the inner walls of the capillary channel and the positioned droplet is in tight contact with a transfer medium. By means of the transfer cavity and the capillary channel that are connected to one another, because the cross sectional area of the transfer cavity is larger than the cross sectional area of the capillary channel, differences in volume between the transfer cavity and the capillary channel are used to transform a small displacement in a region of large volume into a large displacement in a region of small volume. Because the positioned droplet is provided in the capillary channel, and the capillary channel environmental sensor comprises a magnetic sensing element, the magnetic sensing element causes, on the basis of movement of the positioned droplet, the change in displacement through an intermediate variable to provide high-sensitivity and low-power detection.
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