15results about How to "Universally applicable" patented technology

The application provides an automatic reconstruction method and device of a flight parameter sensor, comprising the following steps: step 1, acquiring sensor data of the same flight parameter and confidence of each sensor; step 2, acquiring a reference value of the flight parameter according to the sensor data and the corresponding confidence; step 3, judging validity of the sensor data according to the reference value of the flight parameter; the validity includes invalid, valid and pending; step 4, when the validity of the sensor data is invalid, setting the confidence of the sensor as 0; when the validity of the sensor data is pending, sending a prompt information to the pilot, and setting the confidence of the sensor as 0 when a shielding instruction input by the pilot is received. The sensor automatic reconstruction method provided by the application can effectively identify a faulty sensor, correctly select a normal sensor to provide a flight parameter to the pilot, effectively reduce the operation load of the pilot and improve the flight safety.

The invention belongs to the technical field of optical fiber sensing, and discloses a distributed single detection method and device for group birefringence and phase birefringence of an optical fiber, which is based on clear distinguishing and complete modeling of physical mechanisms of phase birefringence and group birefringence. Noise and various interferences are effectively suppressed, so that the accuracy and reliability of parameter measurement are remarkably improved. Through efficient cross-correlation operation in an optical frequency domain and a distance domain, two types of birefringence distribution information are synchronously obtained in single measurement, the data processing and feature extraction efficiency is greatly improved, and the method is particularly suitable for high-resolution and long-distance distributed sensing analysis. The theoretical model and the solving method provided by the invention have universal applicability, so that the robustness and the stability of the system in different application environments are improved.

The application discloses a multi-receiving array synthetic aperture sonar imaging method and device considering intrapulse motion, and comprises the following steps: under the condition that the relative motion speed of a platform in a signal transmitting and receiving pulse width is unchanged in a pulse repetition period, an echo baseband signal model in a two-dimensional plane is established; envelope time delay and phase of an echo baseband signal in the echo baseband signal model are error analyzed based on a waveform scaling factor, and an approximate signal model of the echo baseband signal model is determined; two-dimensional frequency spectrum of an approximate echo baseband signal in the approximate signal model is solved; and focusing is completed by using a single station imaging algorithm based on the two-dimensional frequency spectrum, so that a multi-receiving array synthetic aperture sonar imaging result is obtained. The application realizes multi-receiving array synthetic aperture sonar imaging under the condition of considering intrapulse motion, and improves the resolution of underwater imaging.

This invention discloses a method for comprehensively identifying PFAS in the environment by combining targeted analysis, suspicious screening, and non-targeted identification. The method includes the following steps: S1, performing full-can / DDA / DIA analysis on environmental samples using liquid chromatography-high-resolution mass spectrometry (LC-HDMS); S2, performing LC-HDMS analysis on several PFAS standards; S3, collecting the names and molecular formulas of several PFAS based on publicly available chemical databases and literature, calculating their precise mass numbers, and establishing a suspicious screening database in conjunction with an open-source MS2 spectral library; S4, establishing a non-targeted identification workflow by combining the mass number characteristics, characteristic MS2 fragmentation, characteristic neutral loss, and homologue characteristics of PFAS; S5, integrating targeted analysis compounds, candidate compounds from suspicious screening, and candidate compounds from non-targeted identification to comprehensively identify PFAS in environmental samples. This invention achieves comprehensive identification of known and unknown per- and polyfluoroalkyl compounds through three complementary analytical techniques.

The invention discloses a corrosion inhibitor composition. The corrosion inhibitor composition comprises a compound shown in a formula I and an anti-rust agent. The corrosion inhibitor composition has excellent oil solubility, can be used for preparing anti-rust oil in lubricating oil and lubricating grease, and has general applicability. The corrosion inhibitor composition can obviously improve the oxidation resistance of anti-rust oil, improves the function of inhibiting copper corrosion, and also has an effect of improving the anti-rust performance.

An FDTD conformal mesh generation method suitable for a complex model comprises the steps that (1) a real physical model of an FDTD electromagnetic target is obtained, and electromagnetic simulation software is used for exporting the real physical model as an STL model; 2) reading key data of all triangular surface elements in the STL model, and generating rays for geometric boundary detection on the STL model; 3) determining intersection points of all the rays and all the triangular surface elements based on a ray tracing algorithm, and determining incident points and emergent points corresponding to all the rays through dot products of normal vectors of the rays and normal vectors of the triangular surface elements; and 4) based on the incidence points and the emergence points of all rays, performing FDTD conformal mesh generation on a real physical model by using a conformal parameter-based target model conformal mesh generation method. The method is suitable for a complex model in any shape, can quickly and accurately generate a hexahedral mesh required by FDTD calculation, and has general applicability.

A power coordination control method and system of an energy router containing multiple energy storage converters, the method comprising: setting a direct current voltage control priority of each port of the energy router; setting an upper and lower limit value of a voltage deviation of a master station and a slave station of a direct current voltage control of each port energy storage converter of the energy router according to the direct current voltage control priority; setting an energy storage battery SOC setting value and an energy storage battery charging and discharging flag of each port energy storage converter of the energy router; judging a current state of the energy storage battery according to the energy storage battery SOC setting value, calculating a power coordination instruction of a DCAC grid-connected converter in combination with the upper and lower limit value of the voltage deviation of the master station and the slave station of the direct current voltage control of each port energy storage converter of the energy router, and processing a power coordination instruction of an energy storage DCDC converter; and each port of the energy router executing the power coordination instruction of the corresponding energy storage converter. The application can ensure safe and reliable operation of the multiple energy storage unit energy router and improve the power response capability of the whole machine.

The invention provides a layered oxide material with a nanometer woven net interface structure and a preparation method and application thereof, and belongs to the field of electrode materials, a dilute acid solution is used as a reaction medium, and a spray pyrolysis mode is combined to enable dilute acid to fully react with a residual alkali compound on the surface of layered oxide, so that the layered oxide material is obtained. And synchronously converting into a uniform nano woven net interface structure in situ. A uniform nano interface structure can be prepared, belongs to a flexible film structure and has a relatively strong bonding effect, and the interface structure can persistently and stably exist in a charging and discharging process, so that the structural strain is reduced; the nano woven net interface structure has a relatively large specific surface area, so that the contact area and the liquid retention amount of the layered oxide material and an electrolyte are increased, and the diffusion of Li < + > and the migration of electrons are accelerated; the uniform knitted net interface structure can inhibit the surface oxidation of the material and the reaction with water and carbon dioxide in the air, improve the air tolerance of the matrix material, and also can greatly inhibit the erosion effect of the electrolyte on the matrix material.

The present application relates to the vulnerability evaluation method of immovable cultural relics, comprising the following steps: 1, determining the vulnerability evaluation index; 2, determining the evaluation index vulnerability value grading standard; 3, obtaining evaluation index data and vulnerability value assignment; 4, determining the vulnerability evaluation index weight; 5, constructing the vulnerability evaluation model; 6, dividing the vulnerability level; 7, calculating the vulnerability index; 8, determining the vulnerability level of immovable cultural relics. The method of the present application can well evaluate the vulnerability of immovable cultural relics under the influence of natural disasters such as flood, earthquake and other disasters at different scales, and has universal applicability.

The invention provides a neural network formal verification method and system based on node importance and adaptive scheduling. The method comprises the following steps: firstly, executing symbol interval propagation on a target neural network, and identifying unstable nodes with uncertain input; then, integrating the layer depth position of the node in the network and the propagation upper bound of the node to output disturbance, and dynamically calculating the importance score of each unstable node; further, according to the current hardware resource state and node importance, a quality and budget two-level constraint decision mechanism is adopted, key nodes are intelligently screened, an input field is divided, and sub-fields are generated; and finally, under real-time resource monitoring, dynamically scheduling each sub-domain verification task to a computing unit for parallel processing, and reducing a result to obtain a final verification conclusion. Through importance-driven resource allocation, the problem of insufficient resource utilization of an existing verification method is solved, and the verification efficiency and precision are remarkably improved.

The application claims a method for measuring the equivalent cavity length of a self-injection seed laser, comprising a self-injection seed laser (1) and a balanced homodyne noise detection device (2). The method comprises the following steps: first, measuring the intensity noise of the self-injection seed laser under the stable operation state of the self-injection seed laser by using a photoelectric detector, and reading the relaxation oscillation frequency of the laser in the intensity noise spectrum; then, according to the actual parameters of the self-injection seed laser during the laser intensity noise measurement, using a theoretical function of the laser relaxation oscillation frequency as a function curve graph with the laser equivalent cavity length as the independent variable and the laser relaxation oscillation frequency as the dependent variable; finally, equating the laser relaxation oscillation frequency value obtained in the first step with the relaxation oscillation frequency value in the theoretical simulation function curve graph in the second step, and reading the value of the corresponding abscissa in the theoretical function curve graph, which is the equivalent cavity length of the self-injection seed laser. The application is suitable for measuring the equivalent cavity length of the self-injection seed laser under the stable operation state.

The application provides an optimal splicing line acquisition method for super large file remote sensing images, comprising the following steps: obtaining two super large file remote sensing images with geographical coordinate reference; performing equal resolution down-sampling processing on the overlapping area of the two super large file remote sensing images, and establishing a directed graph for the down-sampled pixel points; applying a graph cut algorithm to find the minimum cut of the directed graph, and obtaining a rough splicing line; generating a buffer zone based on the rough splicing line; obtaining the strip-shaped overlapping area of the two images in the original super large file remote sensing images by mapping the buffer zone; establishing a directed graph for the pixel points in the strip-shaped overlapping area; and applying the graph cut algorithm to obtain the optimal splicing line of the strip-shaped overlapping area. The application reduces the number of pixel points to be traversed in the process of determining the splicing line by performing down-sampling on the super large file remote sensing images, so that the number of nodes and edges to be calculated in the graph cut algorithm is met, and the global optimal solution is ensured, thereby obtaining the optimal splicing line of the super large file remote sensing images.

The application discloses an ISAR image adaptive quantization method based on histogram entropy, and belongs to the technical field of radars. An M*N dimension ISAR amplitude floating-point data matrix model in units of dB is firstly constructed; then a quantization boundary value coordinate axis of the ISAR image quantization is constructed; then the optimal upper and lower quantization boundaries of the ISAR amplitude data are obtained; finally, the optimal quantization image is obtained by quantization based on the obtained upper and lower quantization boundaries. The application uses the entropy of the ISAR image as an evaluation index of adaptive quantization, has universal applicability, and reduces the problem of non-uniform quantization of different targets, different resolutions and different signal-to-noise ratio environments during ISAR imaging. By using the histogram entropy of the ISAR image, the calculation amount of the entropy operation of the whole image is avoided, and only the histogram needs to be quantized, so that the operation scale of the two-dimensional image is reduced to the scale of the quantization order W, and the engineering application of real-time processing is more favorable. The histogram entropy can be used for different quantization bit numbers.

The utility model relates to a drill press technical field belongs, especially a drill press workstation, the utility model provides a drill press workstation, including drill bit, still include: workstation, the workstation horizontal setting is below drill bit: clamping device, clamping device sets up on the workstation, be provided with work piece on the clamping device, the clamping device is used for fixing the position of work piece, fixing device, fixing device sets up between the workstation and clamping device, the fixing device is used for fixing clamping device on the workstation, when drilling the work piece, need to select suitable drill press to work piece and drill, work piece is adapted clamping device fixed on the drill press, clamping device is fixed under the fixing of fixing device, make clamping device be stably fixed on the workstation, prevent clamping device removal when drilling, fixing device can fix clamping device on the required drill press, so that work piece can be better processing, more have universal applicability.