4 results about "Response factor" patented technology

The application discloses a coal mine building foundation settlement prediction system and method based on a multi-source intelligent sensor, belongs to the technical field of coal mine building monitoring, and is characterized in that multi-source sensors such as settlement displacement, inclination, pore pressure, water potential and microseismicity are arranged in a building foundation area, non-settlement characteristic signals in a fixed time period are collected, and a multi-source original data set is constructed; non-displacement disturbance characteristics are extracted through wavelet transform and phase analysis to form a characteristic sequence matrix; the characteristic sequence matrix is input into a deep time graph neural network combined with time evolution weight and spatial coupling structure, and a foundation settlement prediction response sequence is output; error inversion is performed in combination with measured data, deep response factors are identified, and a cause graph is constructed; finally, a risk function is established based on risk factors and the prediction sequence, settlement risk grade division and regional early warning are realized, and the application has the advantages of response preposition, causal explainability and risk quantification and is suitable for settlement prediction and hierarchical control under complex geological environments.

The application provides a triglyceride mass spectrum signal correction method, a triglyceride detection system and application thereof. The triglyceride mass spectrum signal correction method first detects a to-be-detected sample by using a liquid chromatograph-mass spectrometer system; based on a secondary mass spectrum result, the triglyceride in the to-be-detected sample is qualitatively determined, and a standardized response factor prediction model is combined to obtain a standardized response factor of the triglyceride in the to-be-detected sample; and the triglyceride primary mass spectrum signal is divided by the standardized response factor for correction. The triglyceride mass spectrum signal correction method significantly improves the accuracy and stability of triglyceride quantification, and only needs to use a single internal standard to realize high-throughput detection, effectively overcoming the dependence of the traditional method on multiple internal standards.

A method, system, storage medium, and program product for detecting non-methane total hydrocarbons (NMRs) are disclosed, relating to the field of testing or analyzing materials by measuring their chemical or physical properties. In this method, gas chromatographic data and component data are acquired, and the initial NMR concentration is calculated. CAS numbers are matched to distinguish known interfering components from dynamically added components. Preset response factors for known components and theoretical response factors for added components are obtained, and their accurate concentrations are calculated. The baseline NMR concentration deviation caused by interfering components calculated using the basic factors is calculated. This deviation is subtracted from the initial NMR concentration to compensate for the accurate concentrations of each interfering component, resulting in a corrected target NMR concentration. The target methane concentration is calculated and subtracted from the target NMR concentration to obtain the NMR concentration. This application aims to reduce the interference of dynamically changing added organic components on NMR detection, thereby improving the accuracy and intelligent processing efficiency of continuous NMR detection in complex waste gas scenarios.

The application provides a kind of nuclear radiation field fast inversion method and system, it is related to nuclear radiation field inversion technical field, and the three-dimensional space model of target nuclear radiation field is constructed and the energy spectrum data of multiple observation positions are obtained in the present application, standard count rate data set is generated after pre-processing;Then by the discrete processing of radiation field, the initial radiation intensity is obtained based on the data between each potential point source and observation position;Further, for any target point, the relative contribution weight of each potential point source and the radiation attenuation factor are aggregated, the field intensity response factor of target point under multiple energy channels is calculated and the field intensity response vector is formed;Finally, the energy fluence mapping model with field intensity response vector as input and energy fluence as output is constructed and trained, the fast and high-precision inversion of energy fluence at any position of nuclear radiation field is realized, and the efficiency and accuracy of multi-energy channel nuclear radiation field inversion in complex medium environment are effectively improved.