6 results about "Nondestructive analysis" patented technology

In order to solve the industrial problem of compound quality control of rare traditional Chinese medicinal materials (especially from plants), rapid and nondestructive quantitative analysis of compound components is realized, and the limitations of great destructiveness and low efficiency of a traditional method are overcome; the invention discloses a quantitative detection method based on a terahertz time-domain spectroscopy (THz-TDS) and a one-dimensional truncation penalty feature screening algorithm (1D-TPFS) combined support vector regression (SVR) model. According to the method, ginseng-radix angelicae compound mixed powder is used as an analysis model, and a series of samples with different component proportions (0%-100%, mass fraction) are prepared. The method solves the problems that a traditional feature screening method cannot effectively balance the contradiction between information retention and redundancy suppression, the PLSR model is limited by linear hypothesis, and the prediction precision is relatively low. The research proves that the strategy based on THz-TDS and 1D-TPFS-SVR provides a new method for rapid nondestructive analysis of the component content of rare traditional Chinese medicinal materials and compound preparations thereof, and has important significance for guaranteeing the quality stability of traditional Chinese medicines and market supervision.

The application discloses a method for identifying the authenticity of red printing oil fingerprints on documents. The method comprises the following steps: performing X-ray spectrum analysis on red printing oil lines in red printing oil fingerprints on the document to be identified; when characteristic peaks of handprint substances exist in the spectrum, it is determined that the red printing oil fingerprints are authentic; the characteristic peaks of the handprint substances include characteristic peaks of K and Na. The application provides a new method for identifying red printing oil fingerprints on documents, specifically uses scanning electron microscope (SEM) imaging technology and X-ray spectrum analysis technology to perform component testing on red printing oil fingerprints on documents; when the red printing oil fingerprints contain K, Na and Cl, which are main inorganic component elements, the distribution of the component elements can be determined as authentic red printing oil fingerprints; the method can identify the authenticity of red printing oil fingerprints and can realize nondestructive analysis.

The present invention relates to a system and method for non-destructive analysis of jewels, precious metals, ornaments, and stones using an integrated Al-based evaluation system. The system comprises a sample holding tray (1) and an enclosure system housing an X-ray fluorescence (XRF) spectrometer (5) and a thermal imaging camera (3), wherein either or both components are rotatable at specific angles, including 30, 60, or 360 degrees, to facilitate comprehensive multi-angle analysis. A 3D imaging camera (2) captures structural details, while the thermal imaging camera (3) detects heat distribution patterns for identifying internal defects. The XRF spectrometer (5) determines elemental composition by analyzing fluorescence emissions. A 360-degree rotating motor (6) enables controlled movement of the sample tray (1) and / or enclosure system. An Al -based computational module processes acquired data for classification, authentication, and valuation. A digital storage unit maintains records, including 3D models, ensuring precise, automated, and non-destructive evaluation.

The present application relates to the technical field of chip package aging test, in particular to a kind of aging test method of multi-chip package.The present application is related to the abnormal characteristics of real-time analysis current waveform and is associated with high-resolution temperature distribution change, and then realize before calculating core particle completely failure, accurately determine its " near scrap period " state, so that test system can actively stop aging test to critical device, avoid sample damage or burn due to excessive failure, preserve complete, valuable sample for subsequent nondestructive analysis, secondly, the present application adopts the strategy of current and thermal imaging data fusion analysis, through the double criterion of " current abnormal risk value " and " temperature deterioration index ", greatly reduce the misjudgment and omission caused by single parameter monitoring, first through current abnormality lock suspicious computing core particle, then determine the temperature deterioration index of suspicious computing core particle, temperature is the main factor leading to computing core particle failure.

The present application relates to the technical field of nondestructive analysis, in particular to a near-infrared spectrum resolution real-time correction method combined with a neural network, which is realized based on a near-infrared spectrum detection correction system, wherein the system comprises a xenon lamp, a fiber probe A, a calibration electric control shutter, a Y-shaped fiber, a near-infrared spectrometer, a measurement electric control shutter, a fiber probe B, a sample to be measured, and a halogen tungsten lamp.The xenon lamp is integrated in the spectrometer device through the Y-shaped fiber, which can realize automatic and rapid switching of the light path without manual intervention, supports online measurement, and combines the xenon lamp data with the neural network, so that a spectrum broadening function can be constructed through Gaussian peak fitting and polynomial fitting only by collecting one frame of xenon lamp spectrum, and then the physical model is used to guide the neural network training to realize the reconstruction from low-resolution measurement spectrum to high-resolution corrected spectrum.This combination scheme not only realizes the high integration of the calibration system and the automation and real-time of the calibration process.

The application provides a multi-dimensional nuclear magnetic resonance T1-T2* imaging method. The technology can provide a fast imaging method for nuclear magnetic resonance instruments under different field strengths and different configurations, and is used for precisely measuring organic matter content and spatial distribution in a dense shale oil and gas reservoir sample. Through special data processing of the collected data, a high-dimensional three-dimensional T 1、 T 2 * The atlas result can be used for characterizing important information such as internal structure, micropore characteristics and fluid saturation of the sample. Therefore, the technology has important application value in analysis of complex samples of unconventional oil and gas reservoirs.