32results about How to "Realize multi-parameter measurement" patented technology

The invention discloses a humidity-controllable semiconductor gas-sensitive element testing method including a SnO2 gas-sensitive material preparation step, belongs to the field of element testing andaims at solving the problem that an existing formaldehyde gas-sensitive element testing method is incomplete and the problem of low humidity control precision. The humidity-controllable semiconductorgas-sensitive element testing method is technically characterized by including the SnO2 gas-sensitive material preparation step, a semiconductor gas sensor testing system establishment and testing step and a semiconductor gas sensor testing system and semiconductor gas-sensitive element performance analysis step. By adopting the method, formaldehyde gas-sensitive element testing is more perfect and the humidity controllability and control precision are improved.

The invention relates to a multi-parameter logging method while drilling based on a controllable neutron source, which includes the steps of utilizing a multi-detector measuring system consisting of the D-T controllable neutron source, two thermal neutrons and two gamma detectors, sufficiently utilizing fast neutrons transmitted by the controllable neutron source to militate with atomic nucleuses of formation elements by means of special pulse and measuring timing sequence design, recording gamma energy spectrums, gamma time spectrums and thermal neutron time spectrums at different positions, and performing simultaneous measurement of multiple parameters such as formation density, formation porosity, formation fluid saturation, formation element content and the like with a nuclear logging instrument in a drilling process by means of different spectral resolution and data processing, so that valuation on formation lithology, formation porosity and formation fluid saturation while drilling are realized, the same parameter of the formation porosity and the formation fluid saturation can be measured by various methods, logging interpretation ambiguity is decreased, and accuracy and reliability of logging data interpretation are enhanced.

The invention mainly relates to a semiconductor gas sensor test system, belongs to the field of element testing and is used for solving the problem that an existing semiconductor gas sensitive element testing method is incomplete. The semiconductor gas sensor testing system is characterized by being used for dynamically distributing gas for different gases under given concentration and enabling a multi-branch sensor array to monitor change of conductivity on the surfaces of gas sensitive elements in real time when gases are introduced.

The invention relates to an electromagnetic ultrasonic detection method for plane residual stress, belongs to the technical field of ultrasonic detection, and relates to an electromagnetic ultrasonicdetection system and detection method for plane residual stress. The method comprises the steps of: firstly, assembling the electromagnetic ultrasonic detection system, and measuring stress detectionultrasonic signal waveforms in three directions by using ultrasonic coils in an electromagnetic ultrasonic surface wave probe so as to calibrate an acoustic elastic coefficient of a material. The surface wave signals in three directions of a point to be measured are collected, and the magnitude and direction of plane stress are calculated by using an ultrasonic detection theoretical formula. In the method, one-time positioning of the two principal stresses in the plane stress state and the included angle between the two principal stresses, and simultaneous measurement of multiple parameters are realized by using the surface wave probe with the function of three-transmitting and three-receiving. The distance between receiving and transmitting probes is reduced and the spatial resolution ofthe probe are improved by reducing the turns per coil, the line width and the line distance of ultrasonic transmitting and receiving coils. A circuit board and an impedance matching network are connected by using a radio frequency connector, thereby facilitating the installation and repeated use for multiple times, the detection method is simple, and the efficiency is high.

The invention discloses a temperature sensor based on a grapheme-film-modified biconical micro-nano optical fiber coupler. The device comprises a super-continuous broadband light source, a graphene-modified micro-nano optical fiber coupler sensing unit and a spectrum analyzer. The graphene-modified micro-nano optical fiber coupler sensing unit is respectively connected with the super-continuous broadband light source and the spectrum analyzer through connecting optical fibers. On the basis of the electric heating high-temperature fused biconical taper method, a biconical 2*2 micro-nano opticalfiber coupler is prepared; the central lumbar vertebra uniform area of the coupler is plated with a graphene film by using a film wet transfer method; and the sensitivity of the effective refractiveindex of the coupler intermode interference to the external environment temperature is improved by utilizing the high thermo-optic coefficient and the high thermal conductivity of the graphene film, so that the high temperature measurement sensitivity is realized. Meanwhile, the involved sensor shows the excellent linearity, repeatability and stability in experiments. The temperature sensor has advantages of being compact in structure, easy to manufacture, low in cost and easy to integrate with other optical fiber systems.

The invention discloses a method and device for monitoring a generator stator fault based on strain and acoustic wave sensing, which includes: installing a sensing optical cable for measuring the strain and acoustic wave signal of a large generator stator; connecting the length of the sensing optical cable to the power generation The three-dimensional coordinates of the generator stator are calibrated; by collecting the strain-acoustic signals generated by various faults of the large-scale generator stator, a convolutional neural network training model for generator stator fault monitoring is constructed; the generator stator fault monitoring is carried out, combined with the field Manual maintenance results update the fault sample library; use the updated fault sample library to retrain the generator stator fault monitoring model, and use the updated generator stator fault monitoring model to analyze the fault types of large generators in operation based on abnormal strain-acoustic signals Identify and predict. The invention expands the range and precision of generator stator fault monitoring, and can predict the fault of large generator stator.