34results about How to "Realize quantitative identification" 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 provides a preparation and detection method of a mercury ion electrochemical biosensor. The electrochemical biosensor comprises a double-electron mediator, an electrode modifier and a functional substance, wherein the double-electron mediator is an Fc-Ru < 3 + > mediator, the electrode modifier is catechol and chitosan, and the functional substance is thymine. The electrochemical sensor can specifically recognize mercury ions, can be applied to mercury ion detection in water environment protection and wastewater treatment, and has the advantages of high sensitivity, good selectivity, low cost, simplicity in operation, convenience in carrying, short analysis time and the like.

The invention relates to a method for evaluating the overall health degree of an information system based on big data analysis, belonging to the information technology field. The method comprises thefollowing steps: step S11, acquiring state indexes and performance indexes of various resources in the information system, calculating resource state index scores, resource performance index scores and overall usability index scores of the information system, wherein the overall usability index score of information system is based on the resource status index score; S12, calculating the overall health degree of the information system based on the resource state index score, the resource performance index score and the overall availability index score of the information system. The invention solves the problem that the information system in the prior art has no overall health degree analysis and research and judgment, realizes real-time tracking of the overall health degree of the information system, realizes automatic early warning and research and judgment of the information system by means of the quantitative health degree index before the system performance is lowered and the faultoccurs, and ensures the safety, stability and efficient operation of the information system itself.

The invention relates to a colloidal gold detecting method based on digital image processing, comprising the following steps of: collecting RGB (Red, Green, Blue) coloured images by an area array CCD (Charge Coupled Device) detector, carrying out gray level conversion, edge extraction, background suppression and the like on the collected coloured images, and finally quantitatively calculating thecorresponding concentration result of a sample. The invention also relates to a colloidal gold detecting device based on the digital image processing; and the device can be used for detecting the colloidal gold by the method provided by the invention so that the device not only realizes the negative and positive qualitative judgement of the sample but also realizes the quantitative application onthe lower end.

The invention discloses a method for quantitative identification of satellite micro-vibration sources based on blind source separation technology. First, each vibration source of the satellite cabin section structure model operates normally, and the vibration response signals at the sensitive loads and different positions on the model surface are obtained to ensure The number of observed signals is greater than the number of sources; then, use the high-order cumulant to construct the reference kurtosis comparison function of the blind source separation algorithm, construct the reference signal according to the prior knowledge of the vibration source, and use the optimal step size gradient method to find the reference kurtosis comparison function The optimal solution of the separation signal corresponding to the maximization of the function realizes the extraction of the single vibration source signal; secondly, the response of each vibration source at the sensitive load point is obtained through the Wiener filter; finally, the contribution based on the vector projection Quantity characterization method is used to calculate the contribution of each micro-vibration source. The contribution index reflects the relative proportion of each vibration source's contribution and influence on the vibration of sensitive load points, and provides the basis and basis for vibration suppression.