9results about How to "Improve analytical ability" patented technology

The application relates to a self-adaptive self-powered flexible sensing device based on triboelectricity and a preparation method thereof, which comprises a flexible device, a charging module and a single-chip circuit board; the flexible device comprises, from top to bottom, a triboelectric layer, an insulating layer, a potential layer and a battery layer; the triboelectric layer is connected with the charging module, the charging module is connected with the battery layer, and the battery layer is connected with the single-chip circuit board. The system collects signals of multiple electrode ports through a single-chip microcomputer and transmits the signals to a mobile phone or a computer terminal through Bluetooth wireless transmission, so that the convenience and expansibility of data acquisition are improved, and real-time monitoring and remote interaction application can be constructed.

The application discloses a transformer core winding vibration model construction method considering spatial effect. By comprehensively considering the uneven distribution of spatial magnetic field and the structure factors of the transformer, a vibration model capable of accurately reflecting the vibration coupling relationship between the transformer core and the winding is provided. By adopting the magnetic vector potential method, the leakage magnetic field distribution and the electromagnetic force in the three-dimensional region of the winding wire cake are calculated, and the distribution influence of the leakage magnetic field on the electromagnetic force of the winding is simulated and accurately reflected in combination with the core window effect. By applying the vibration coupling between the windings at all levels and the pre-tightening force to the unified mass-spring-damping model, the winding space dynamics model is constructed in combination with the number of interlayer spacers of the winding, and the constraint condition that the vibration phases of the interlayer windings are synchronous can be embodied in the simulation process. The method can guarantee the calculation precision and reduce the calculation cost.

This invention relates to the field of current measurement technology and discloses a method and system for improving the accuracy of NV center current measurement in diamond. The method includes: applying an axial magnetic field outside the diamond sample; comparing the energy level difference between two characteristic states with the target spin; determining whether energy level anti-crossing exists based on the comparison result; determining the fluorescence intensity based on the energy level anti-crossing; determining a normalized fluorescence signal based on the initial fluorescence signal and the target fluorescence signal; determining the coupling relationship between the magnetic field and fluorescence intensity based on the fluorescence intensity, the normalized fluorescence signal, and the placement probability; applying a bias magnetic field opposite to the axial magnetic field based on the open-loop transfer function and the microwave frequency; modulating the measurement microwave frequency with a sine wave; and measuring the NV center current based on the Fourier coefficients, the adjusted signal-to-noise ratio, and the bias magnetic field. This invention improves the accuracy of current measurement.

This invention relates to a method for real-time online detection of wastewater indicators. Before detection, a low-concentration water body is injected into the detection chamber to perform micro-dose detection. By observing whether there is a nonlinear shift in the initial response behavior, it is determined whether there is residual response on the inner wall of the detection chamber. If so, a local delayed detection and pre-rinsing operation is performed to suppress interference responses caused by the chemical memory of the detection chamber. After completing the pre-response suppression, a slow-varying physical stimulus process is applied to the wastewater to be tested, stimulating the release of masked pollutants in the wastewater. The pollutant response signals are continuously tracked, and fluctuating behavior is identified. Based on the changing trend of the response curve, a stable response interval is identified as the sampling point for final detection. For cases with superimposed responses from multiple pollutants, the rise rate, fall rate, and tailing characteristics of the response profiles of each indicator are analyzed to identify the physical differences of multiple response signals and perform physical-level decoupling, improving the accuracy of identifying multiple pollutants.

The invention relates to the field of dairy product foam moisture migration and stability correlation analysis, in particular to a dairy product foam moisture migration and stability correlation analysis method. The method comprises the following steps: firstly, based on an obtained dairy product foam sample, acquiring a relaxation signal, performing normalization processing to obtain a nuclear magnetic resonance signal sequence, introducing a signal smooth extension method to obtain a nuclear magnetic energy density function, and further constructing a composite nonlinear enhancement function; then, based on the composite nonlinear enhancement function, constructing a migration gradient response function; obtaining a migration probability based on the migration gradient response function; calculating a moisture migration entropy weight index based on the migration probability; and finally, based on the moisture migration entropy weight index, obtaining a foam structure stability estimated value, and obtaining an analysis result. The technical problems of non-destructive, quantitative and dynamic identification of internal moisture migration behaviors and establishment of a mathematical mapping relation with physical interpretation force for moisture migration characteristics and foam structure stability are solved.

This invention relates to the field of seismic wave analysis technology, specifically a method for distinguishing and correlating ground motion parameters of the upper and lower reservoirs of a large pumped storage power station. The method includes the following steps: acquiring three-dimensional wave velocity and coordinate data of the upper and lower reservoirs through remote sensing mapping and drilling tests; modeling and simulating the wave field to output acceleration response; extracting phase abrupt change points, calculating density functions to generate a comparison table; statistically analyzing the offset and density distribution of abrupt change points; calculating normalized offset rates to form a discriminant dataset; extracting peak acceleration and response spectrum parameters to construct a feature set; training a random forest regression model to establish a mapping relationship; and introducing topographic propagation coefficients for calibration to generate a correlation table. In this invention, by jointly modeling topography and wave velocity to reconstruct the influence of structural differences on seismic wave paths, segmenting acceleration sequences to analyze abrupt change characteristics, and extracting peak values ​​and spectral points to quantify response differences, the method improves the analytical capability and matching degree of ground motion characteristics.

The application relates to the technical field of file analysis, and discloses a user package file analysis method, system, device and medium based on load balancing, which comprises the following steps: carrying out file splitting on a user package file to obtain a user file list; selecting a target server cluster in a preset backend server cluster according to the user file list; calculating the real-time computing resources of each backend server in the target server cluster, and constructing a file allocation strategy according to the real-time computing resources; carrying out file analysis according to the file allocation strategy, calculating the analysis real-time computing resources after file analysis; and iteratively optimizing the file allocation strategy according to the analysis real-time computing resources until each user file is analyzed to obtain the analysis result of the user package file. According to the application, the user files can be reasonably allocated for file analysis according to the real-time load conditions of the backend servers, so that the computing resources of the backend server cluster can be reasonably utilized, and the stability and accuracy of user file analysis can be effectively improved.

The application relates to the technical field of optical detection, and discloses a pigskin collagen content detection method. Before contacting a detection medium, the initial optical profile of a pigskin sample is established. According to the profile, a special detection path for the sample is generated, and the moving track and the stay node of the probe sampling are specified. The medium is injected at the starting point of the path, and a synchronization mechanism is started to synchronize the probe movement with the medium diffusion front. When the probe reaches the terminal node, the spectral sequence of each node on the path is recorded completely, and the sequence contains the dynamic characteristic absorption information of collagen. The spectral sequence is subjected to cross-node correlation fusion to generate the fusion spectral feature map of the sample. The map is compared with a pre-stored feature-content mapping model, and the collagen content value is output. The application realizes adaptive sampling and dynamic process tracking, and improves the accuracy and reliability of detection.