12results about How to "Easy access to data" patented technology

The present invention relates to a new type of power system data trusted acquisition method based on blockchain technology, comprising the following steps: step 1, establishing a terminal structure of a new type of power system data acquisition blockchain; step 2, establishing a data processing model based on a data packet loss and retransmission mechanism, adopting an M / M / 1 / k mixed queuing model for data packet forwarding for the sensing device collection data acquired by the terminal node, and selecting a node with the shortest end-to-end transmission time as a data block generation node, and sending a verified data block to the whole network node; step 3, establishing a data transmission model driven by data demand response; step 4, solving the data transmission mathematical model driven by data demand response established in step 3 based on a greedy algorithm, and obtaining the optimal point-to-point transmission path of the data block. The present invention can solve the technical problems of slow power data transmission speed, high data retransmission rate and low data transmission credibility under the new power system.

The present invention discloses a method for evaluating photovoltaic exploitable roof resources and carbon reduction potential based on satellite image recognition, including: downloading a high-resolution building roof satellite image dataset from a public map, obtaining the roof dataset information based on satellite images; cleaning the dataset according to whether there are roof features, dividing the images with roofs into satellite image datasets; extracting roof feature analysis based on deep learning image semantic segmentation methods, accurately identifying the building roof area and classifying it according to the roof structure and material; dividing the building into connected domains, calculating the area of ​​different types of roofs in combination with scales, and evaluating the photovoltaic potential in combination with the installed capacity per unit area rule; and evaluating the carbon reduction potential of the roof according to the photovoltaic potential evaluation results. The present invention integrates innovative solutions of remote sensing technology and machine learning methods, aiming to achieve rapid and accurate evaluation of the photovoltaic potential of large-scale urban building roofs.

The invention relates to the field of shallow sea water depth inversion methods, and discloses a shallow sea water depth remote sensing inversion method and system based on sea surface wave characteristics, and the method comprises the steps: carrying out the preprocessing of an optical remote sensing image, and obtaining a preprocessed optical remote sensing image; performing spectral analysis on the preprocessed optical remote sensing image by adopting fast Fourier transform to obtain energy distribution and spectral concentration ratios corresponding to different wave numbers; constructing a frequency spectrum energy weighting mechanism according to the energy distribution and the spectrum concentration ratio corresponding to different wave numbers, and calculating a frequency spectrum energy weighting wavelength index; and combining the frequency spectrum energy weighted wavelength index with a known water depth sample point, establishing a frequency spectrum energy weighted wavelength dominant water depth inversion model, and performing shallow sea water depth inversion by using the water depth inversion model. According to the spectrum energy weighted wavelength index, the overall characteristic of energy distribution and the spectrum concentration degree difference are comprehensively considered in the spectrum space, and robust estimation of the dominant wave scale is achieved.

In the pain monitoring system, an information collection assembly comprises a pain physiological signal collection device and a subjective pain assessment device; the pain physiological signal collecting device is in signal communication with the monitoring server assembly; the pain physiological signal collecting device is used for collecting pain physiological signals of the testee; the subjective pain assessment device collects subjective pain assessment information of the testee; the information collection assembly sends the pain physiological signal and the subjective pain assessment information to the monitoring server assembly to form pain data; and the monitoring server component performs evaluation analysis according to the pain data and outputs a pain evaluation report. The pain monitoring information collection assembly and a pain physiological signal collection device collect pain physiological signals of a testee, and the pain physiological signals comprise a blood oxygen signal, a heart rate signal and an electroencephalogram signal; the subjective pain assessment device collects subjective pain assessment information of a subject. The pain assessment gives consideration to objectivity and subjective feelings, and the assessment is closer to real experience.

The invention belongs to the technical field of engineering information, and particularly relates to a construction site adjacent image color fusion method based on BGR weight gradient and CIHS iterative adjustment. The method takes an image registration feature point as a center, fully considers RGB values and CI, S and H values of eight adjacent pixel points around the point on the basis of determining a BGR value of the feature point and hue H (Hue), saturation S (Saturation) and color intensity CI (Color Intensity) values of the feature point, and then, according to the direction of gradual fusion of adjacent images, in an area formed by the eight adjacent pixel points of the point, the image fusion is carried out on the image in the area formed by the eight adjacent pixel points of the point. Different color transition weights are given to adjacent pixel points respectively, optimal fusion of feature point area images is obtained through multiple iterations of converted CI, S and H values on the basis of integration of RGB values of the eight adjacent pixel points, and then natural transition and optimal fusion of all other pixel points in adjacent image overlapping areas are achieved.

This application provides a method, apparatus, and equipment for predicting the impact of marsh vegetation change on land surface temperature, belonging to the field of ecological remote sensing and climate effect assessment technology. Based on long-term series leaf area index, land surface temperature, digital elevation model, and marsh wetland distribution data, it first determines the vegetation pixel distribution as the study area within the unchanged marsh wetland distribution range; it then constructs annual and multi-year average growing season datasets using the maximum value synthesis and arithmetic mean methods; within the grid cells, pixels are divided into high and low value groups based on the multi-year average growing season leaf area index, and the difference between the multi-year average growing season leaf area index and the average land surface temperature of all pixels in the high and low value groups is calculated to quantify the degree of land surface temperature change caused by marsh wetland vegetation cover change; finally, by combining the vegetation change trend at the pixel scale, it achieves accurate prediction of the future impact on land surface temperature.

The invention relates to the technical field of fund evaluation systems, in particular to a fund ESG evaluation method, which can quickly and accurately obtain the ESG evaluation score of a target fund through the calculated E, S and G evaluation scores of the fund and the rating in tail risk exposure, provides convenience for investors, managers and users to evaluate the ESG of the target fund, and improves the evaluation efficiency of the target fund. And the system can better serve fund markets and internationality.

The invention discloses a battery lithium precipitation online detection method and device based on current excitation, and the method comprises the steps: taking short-time controllable small current excitation as a core, carrying out the charging test of a target battery based on an original charging protocol, setting an excitation current based on the internal resistance of the target battery, and carrying out the detection of the lithium precipitation of the battery. The method comprises the following steps: monitoring voltage and temperature changes and equivalent impedance caused by excitation current at different excitation times, and judging whether a lithium precipitation starting point and lithium precipitation are carried out or not by combining voltage abrupt change and the change trend of the equivalent impedance along with the state of charge / time / charging capacity, and determining whether lithium precipitation is carried out or not based on the corresponding voltage abrupt change and equivalent impedance at different excitation times. And screening the optimal excitation time by combining the curve smoothness and the lithium precipitation starting point change rate. According to the method, the charging protocol and steps of the target battery are not changed, the superposed current excitation is small, the time is short, the influence on the total charging time is small, the influence on the original charging process is small, the starting point synchronism and consistency of the corresponding lithium precipitation detection are high, and the method is clearly compared with other methods depending on charging pulse shelving.

The application provides a metal plate bending fatigue test device, relates to the technical field of bending fatigue test auxiliary, and comprises a gantry, a test device support, a test pressure applying assembly and two bearing assemblies, the test pressure applying assembly comprises a hydraulic push rod, a T-shaped plate, a rotary air cylinder, an adjustable pressure applying piece and a roller assembly; the two bearing assemblies each comprise a supporting round rod, a cross rod seat and a vertical plate seat, two round rollers are arranged between the two supporting round rods, and the two ends of the two round rollers are each provided with a ratchet wheel assembly; the technical key points are that the adjustable pressure applying piece and the roller assembly are driven by the T-shaped plate to move to the bottom through the hydraulic push rod, the adjustable pressure applying piece drives the roller assembly to rotate through the rotary air cylinder, the sample plate is supported by the supporting round rod and the round roller, pressure is applied when the roller assembly rolls at the center of the top of the sample plate, the bending angle of the sample plate is expanded, data acquisition during subsequent sample fatigue test is facilitated, and basic requirements of simulation working conditions are provided.

The application belongs to the field of unmanned aerial vehicle remote sensing, satellite remote sensing and photogrammetry, and discloses a method for cross-view registration and positioning of unmanned aerial vehicle aerial image based on instance matching, which comprises the following steps: step S1, target entity of a building is extracted through instance segmentation; step S2, geometric center coarse registration is used to determine instance correspondence; step S3, point matching network is used to refine and extract the top center of the instance; step S4, ground position inversion and accurate homography matrix solving; and step S5, geographic coordinate calculation. The method for cross-view registration and positioning of unmanned aerial vehicle aerial image based on instance matching is adopted, and through the complete process of instance segmentation, coarse registration and correspondence determination, top center refinement, ground inversion and accurate homography solving, and geographic coordinate calculation, various errors can be effectively eliminated, and high-precision registration and positioning of unmanned aerial vehicle non-orthographic images can be realized.