5 results about "Resonant sensor" patented technology

The utility model belongs to the technical field of coal-bed gas development, and discloses a coal-bed gas shaft pulverized coal migration and settlement test system which comprises a simulation shaft which comprises an inner-layer pipe column and an outer-layer pipe column, an annular space part is arranged between the inner-layer pipe column and the outer-layer pipe column, and the annular space part is communicated with the inner-layer pipe column. The simulation shaft can rotate and incline around the center of the simulation shaft within a preset angle; the liquid injection system is connected with the first end of the annulus part and used for inputting pulverized coal slurry into the annulus part; the gas injection system is connected with the second end of the annulus part and used for inputting simulation gas into the annulus part, and the simulation gas and the pulverized coal slurry can flow to the inner-layer pipe column from the annulus part and return to the liquid injection system; the tuning fork resonance sensor is arranged in the simulation shaft in a penetrating mode, and a fork body is located in the inner-layer pipe column and used for detecting the vibration frequency when the pulverized coal slurry and the simulation gas flow in the inner-layer pipe column. The device can simulate the migration and settlement of pulverized coal in wellbores of different well types.

The application relates to the technical field of analysis and detection, and discloses an echo wall mode sensor and a preparation method and application thereof. The echo wall mode sensor comprises a substrate and a fluorescent layer arranged on the substrate, and an inert layer is further arranged on the fluorescent layer; the fluorescent layer comprises an inner fluorescent layer and an outer fluorescent layer; the concentration of fluorescent dye in the inner fluorescent layer is 0.05-0.4 mg / mL; and the concentration of fluorescent dye in the outer fluorescent layer is 0.3-1.2 mg / mL. Through the technical scheme, the problems of low signal-to-noise ratio and poor displacement stability of an echo wall mode sensor based on fluorescent microspheres in the related art are solved.

This application relates to the field of sensor technology, providing a resonant sensor device and an apparatus. The resonant sensor device includes: a waveguide with a waveguide opening at its top; a dielectric resonant unit located at the waveguide opening, the dielectric resonant unit having an internal cavity and a through-hole extending along its thickness direction; and a substrate located above the waveguide and spaced apart from it, with a dielectric medium to be measured disposed between the waveguide and the substrate. In this application, the dielectric resonant unit has an internal cavity, and the through-hole is provided on the dielectric resonant unit, which enhances and dissipates the strong resonant electromagnetic field into natural space, rather than confining it solely within the dielectric resonant unit, thereby achieving strong wave absorption performance and improving sensor sensitivity.

The present application relates to a resonance sensor reading self-adaptive optimization method and system based on reinforcement learning, comprising the steps of: integrating the current sampling spectrum local maximum value set, the historical sampled spectrum local maximum value point set and its linear compensation trend to construct a state space vector, and taking it as the input of the reinforcement learning strategy network; fusing the action based on the strategy network output, the fusion action including the historical local selected maximum value point selection action and the corresponding compensation action, and the fusion action being used to simultaneously realize the spectrum peak value determination and the frequency correction; the present application can fully utilize the historical information and dynamic characteristics of the sensor by introducing the modeling method based on reinforcement learning, realize the real-time optimization of the reading, and overcome the problem that the traditional fixed filtering or single point correction method is not sensitive to interference; the fusion action mechanism adopted simultaneously considers the peak value selection and the frequency compensation, and significantly improves the anti-noise and anti-vibration ability of the resonance sensor in complex environment.

The application discloses a processing method of a MEMS fused quartz resonant sensor, and comprises the following steps: fused quartz wafer cleaning, circularly polarized femtosecond Bessel laser-induced processing, wet etching, high-temperature flame spraying, high-temperature precision annealing, magnetron sputtering deposition of a chromium layer and a gold layer, negative photoresist spraying, negative photoresist mask electrode layer, photoresist development, gold layer and chromium layer etching patterning, cleaning and removing surface residual photoresist, activating the wafer surface by using a low-concentration alkaline solution, pretreating a quartz base, using high-temperature glue to bond the base and a lower magnetic cap, activating the base surface, aligning and adhering the base and a sensor wafer and performing vacuum static pressing, vacuum high-temperature hydrogen atmosphere annealing, and assembling a magnetic core and an upper magnetic cap. The processing method can effectively reduce the surface roughness of the resonator after processing, reduce thermal elastic damping and stress unevenness, and finally improve the quality factor of the sensor.