13 results about "Quantitative accuracy" patented technology

This invention discloses a quantitative analysis system and method for overlapping gas components, belonging to the field of gas analysis and vacuum diagnostics technology. The system comprises: a vacuum chamber to be tested, a first valve connection, and a differential device connected in sequence; the differential device is connected to a mass spectrometry detection unit, a spectral detection unit, and a vacuum pump unit; the mass spectrometry detection unit is used to acquire ion current signals of the analyte gas in multiple mass-to-charge ratio channels; the spectral detection unit is used to acquire characteristic spectral signals of the analyte gas in multiple wavelength channels; a data processing and calculation unit is communicatively connected to the mass spectrometry detection unit and the spectral detection unit, respectively, to obtain and output the partial pressure or concentration of each candidate gas component. Overlapping gas components are those gas components that are difficult to accurately distinguish in mass spectrometry detection due to overlapping mass-to-charge ratio channel responses or overlapping or intersecting characteristic spectral lines in spectral detection. This invention improves the identification capability and quantitative accuracy of overlapping components.

This invention discloses a microfluidic chip and a quantitative extraction method for trace liquids. The device includes a quantitative unit, an auxiliary quantitative unit, and an extraction and transport unit. The quantitative unit can be selectively connected to either the auxiliary quantitative unit or the extraction and transport unit. When the quantitative unit is connected to the auxiliary quantitative unit, it is connected to a second microfluidic channel via a first microchannel, allowing the quantitative chamber and the equilibrium chamber to communicate. A portion of the liquid injected through the injection port fills the quantitative chamber for quantitative liquid extraction, while excess liquid flows to the equilibrium chamber for storage. When the quantitative unit is connected to the extraction and transport unit, it is connected to a third microfluidic channel via the first microchannel, allowing the quantitative liquid in the quantitative chamber to be extracted from the outlet. This invention achieves quantitative extraction of trace liquids while reducing the requirements for liquid driving precision, thus improving quantitative accuracy and ease of operation.

This invention relates to a tunnel full-waveform inversion method based on spectral element forward modeling and physical information neural network, comprising: collecting engineering geological data and obtaining physical property parameters; establishing a two-dimensional finite element model and obtaining spatial information; constructing a wavefield model and performing wavefield forward modeling simulation to obtain synthetic full-waveform data; collecting measured waveform data and preprocessing it, performing time registration and normalization processing on the preprocessed measured waveform data and synthetic full-waveform data, and extracting multiple features; constructing a parameter training set; constructing and training a physical information neural network model, constructing a comprehensive loss function during the training process; and using the physical information neural network model to perform full-waveform inversion. This invention deeply integrates finite element forward modeling, full-waveform inversion, and physical information neural network, taking into account both data fitting and physical consistency, significantly improving the quantitative accuracy and reliability of tunnel advanced geological prediction.

The present application belongs to the field of analytical chemistry detection, and particularly relates to a nucleic acid lateral flow chromatographic test strip, a preparation method and application thereof, and aims to solve the technical defects of traditional lateral flow test strip, such as single target, low quantitative precision and insufficient sensitivity. The test strip is assembled from a sample pad, a combination pad, a nitrocellulose membrane, a water absorption pad and a PVC bottom plate, the combination pad is loaded with Au nanoparticle modified nucleic acid reporter probe, and the C line probe and the T line probe are fixed on the NC membrane; the test strip is targeted recognition mediated by strand displacement reaction, different types of targets are converted into M-DNA with the same sequence, after exponential amplification of the signal, quantitative detection is completed by using test strip color development combined with sampling and software analysis. The sensitivity can be as low as 0.18 pM for different analytes, and good specificity and stability are still maintained in complex matrix such as serum, and it is suitable for rapid quantitative analysis of multiple types of targets in the scene of instant detection.

The present application relates to a kind of navigation integrity evaluation method and system of comprehensive multi-factor influence, belong to satellite navigation integrity monitoring technical field, solve the problem that focusing single rough error processing risk in prior art, lack multi-factor collaborative influence analysis, cannot truly reflect the problem of positioning uncertainty.Method includes: obtaining observation dataset, ephemeris data and receiver approximate three-dimensional coordinates, constructs function model, calculates final correction number approximation, determines final posterior standard deviation;Based on all rough error containing observation value, calculate the maximum rough error clustering number, determine multi-rough error processing risk;Based on observation dataset, calculate single-system positioning result, determine ambiguity fixing error risk;According to final correction number approximation, final posterior standard deviation, multi-rough error processing risk and ambiguity fixing error risk, determine navigation integrity evaluation result.The present application realizes navigation integrity evaluation under the influence of multi-factor, improves the quantitative accuracy of the uncertainty of positioning result.

The present application relates to a kind of XRF detection methods of cadmium titanium plating solution, comprising the following steps: construct the three-layer detection structure of pure molybdenum substrate layer, cadmium titanium plating solution layer and PP plastic layer from bottom to top in turn;XRF detector is emitted from the side of PP plastic layer to the three-layer detection structure with X-ray, to carry out characteristic excitation to the element to be measured in the cadmium titanium plating solution layer and collect characteristic fluorescence signal;Based on the basic parameter algorithm built-in XRF detector, the concentration information of the element to be measured in the cadmium titanium plating solution layer is determined according to the characteristic fluorescence signal collected by XRF detector, by the above-mentioned mode, the consistency of liquid sample detection can be improved, complex background interference is reduced, and quantitative accuracy and long-term stability under the coexistence system of multiple elements are improved.

The present disclosure relates to a multi-modal information fusion and large model collaborative Alzheimer's disease intelligent staging diagnosis system, which can solve the technical problems of insufficient utilization of multi-modal information, insufficient model interpretability, and separation of structured numerical analysis and semantic reasoning in existing Alzheimer's disease staging diagnosis. The system processes multi-modal data through a gradient boosting tree model to predict and stage AD, fully utilizes the complementarity and synergy of multi-source information to ensure the quantitative accuracy of the diagnosis results; at the same time, the Shapley value method based on cooperative game theory is introduced to explain the individual-level decision-making process of the model prediction results, making the model decision-making process traceable and interpretable. A review mechanism is designed to improve the judgment stability of the sample and the clinical reliability of the system. Finally, a large language model is used to integrate and reason the multi-modal information, generating a diagnosis report containing diagnosis basis and clinical suggestions to improve the clinical readability and credibility of the diagnosis results.

This application provides a method and system for detecting antibiotic pollution in water bodies based on spectral characteristics, belonging to the field of water environment monitoring and analysis technology. First, this application simultaneously acquires the surface-enhanced Raman spectrum and redox potential time-series data of the water sample to be tested. Next, the ratio of the characteristic peak intensities of the target antibiotic is extracted from the spectrum to generate a first feature set. Simultaneously, wavelet packet decomposition is performed on the potential data, and energy entropy is calculated to construct a second feature set. Subsequently, the two feature sets are concatenated, and a mutual information maximization algorithm is used to filter out the target feature subset highly correlated with concentration. Finally, using a support vector projection regression model trained based on a structural risk minimization mechanism, and through kernel function mapping and hyperplane projection operations, the accurate detection of the target antibiotic concentration in the water sample is achieved. This application improves the anti-interference capability and quantitative accuracy of antibiotic detection in complex water body backgrounds.

The present application relates to the technical field of gas turbine health monitoring, in particular to a heavy-duty gas turbine blade structure safety online monitoring method and device. The present application acquires local dynamic strain signals and blade tip vibration displacement signals by setting strain gauge modules and blade tip timing sensor modules respectively, extracts single evidence representing blade state by evidence extraction module, and finally adopts D-S evidence theory for fusion decision by fusion decision module; firstly, the high-precision local measurement capability of strain gauge monitoring and the whole-blade non-contact measurement advantage of blade tip timing monitoring are fused, overcoming the inherent defects of single sensor in monitoring range and quantitative accuracy; secondly, through multi-evidence fusion decision, the subjectivity of manual weight setting is avoided, and the credibility and reliability of blade safety state discrimination are improved; thirdly, the online monitoring of the whole blade structure safety state is realized, providing more accurate technical support for early fault warning and health management of gas turbines.

The application provides a background noise suppression system for a microarray protein chip, and relates to the technical field of chip detection, and comprises a collection module, which is used for collecting an original fluorescence image of the microarray protein chip by a laser confocal scanner at a preset excitation power, and taking the original fluorescence image as a to-be-processed signal matrix; an extraction module, which is used for locating three reference entities pre-solidified on a chip substrate from the to-be-processed signal matrix, the three reference entities being located at non-array regions of the upper left corner, the center point and the lower right corner of the chip respectively, and each reference entity being composed of inert fluorescent microspheres with a known concentration; and the mean values of the fluorescence intensities of local windows where the three reference entities are located are extracted respectively as discrete sampling values of spatial heterogeneity background noise. The application improves the low-abundance protein signal detection rate, reduces the quantitative deviation of the array edge, and improves the detection repeatability and quantitative accuracy.

The application provides a quantitative evaluation method for the degree of concrete sulfate erosion, and relates to the technical field of concrete erosion degree evaluation, which comprises the following steps: drawing a SO4 2‑ concentration standard curve; determining the free SO4 2‑ content in a to-be-tested sample, which is denoted as C （游离） ; determining the total SO4 2‑ content of the same mass of the to-be-tested sample from the same source, which is denoted as C （总） ; the difference between C （总） and C （游离） is the content of combined sulfate in the to-be-tested sample, which is denoted as C （AFt，AFm） ; calculating the content C 1 of combined sulfate per gram of the to-be-tested sample; the value of C （AFt，AFm） 1 （AFt，AFm） is the generation amount of ettringite and monosulfate type hydrated calcium sulphoaluminate, and the generation amount of ettringite and monosulfate type hydrated calcium sulphoalumiate is used as an evaluation index to evaluate the degree of concrete sulfate erosion. The method realizes quantitative evaluation of the degree of concrete sulfate erosion from the chemical essence of erosion, and has the advantages of quantitative accuracy, simple operation and the ability to distinguish SO4 2‑ forms.

The application relates to the technical field of valve bodies, in particular to a quantitative sampling switching valve and a sampling method thereof, which comprise a valve head and a shell. The switching valve comprises the valve head and a driving assembly, the valve head comprises a fixed piece and a movable piece which are oppositely arranged and form sealing fitting surfaces. The fixed piece is provided with a first connecting channel, a second connecting channel, a third connecting channel and a fourth connecting channel, and the side of the fixed piece facing the movable piece is provided with a first communication groove and a second communication groove; the side of the movable piece facing the fixed piece is provided with three circumferentially spaced quantitative material storage grooves. The application can improve the detection flux per unit time, reduce pressure pulsation in the switching process, reduce liquid and bubble interference, and improve sampling repeatability and quantitative accuracy.

This invention relates to the field of medical intelligent detection and discloses an intelligent assessment method for gait safety in elderly patients with functional decline. It synchronously collects multi-dimensional data using an infrared three-dimensional motion capture device and an array-type pressure sensing platform. Combining static human body change coefficient calculation, dynamic postural stability assessment, and modular data fusion analysis, a weighted summation scoring model is constructed to accurately determine gait safety risk levels, decline types, and specific risk points. The method also outputs personalized exercise intervention, assistive device adaptation, and rehabilitation training programs. This invention solves the problems of existing technologies, such as single data collection dimensions, lack of synchronous fusion of static physiological parameters and dynamic postural data, and insufficient quantitative accuracy.