42 results about "Grid analysis" patented technology

Continuous Glucose Error-Grid Analysis (CG-EGA) method, system or computer program product designed for evaluation of continuous glucose sensors providing frequent BG readings. The CG-EGA estimates the precision of such sensors / devices in terms of both BG values and temporal characteristics of BG fluctuation. The CG-EPA may account for, among other things, specifics of process characterization (location, speed and direction), and for biological limitations of the observed processes (time lags associated with interstitial sensors).

The invention discloses a geographic grid-based government affair information resource integration method. The method comprises the steps of performing multilevel geographic grid division; performing spatialization processing of government affair information resources; performing time-space coherence processing of the government affair information resources; and performing information integration of multi-scale geographic grids. By fully utilizing a geographic grid division technology, a grid coding method, a text word segmentation and extraction method and a spatial statistical analysis technology, the fusion of government affair information and space information is realized; deep integration and application of the government affair information resources are performed; and grid analysis of single type of data is upgraded to grid internal integration analysis of government affair information resources of multiple types and multiple scales, so that comprehensive government affair data space distribution, comparison and associative analysis can be carried out in a specified region. The information extraction and resource integration can be quickly realized in regional planning and emergency of governments.

Continuous Glucose Error-Grid Analysis (CG-EGA) method, system or computer program product designed for evaluation of continuous glucose sensors providing frequent BG readings. The CG-EGA estimates the precision of such sensors / devices in terms of both BG values and temporal characteristics of BG fluctuation. The CG-EPA may account for, among other things, specifics of process characterization (location, speed and direction), and for biological limitations of the observed processes (time lags associated with interstitial sensors).

The invention discloses a taxi cruising action analytical method based on global position system (GPS) data grid statistic in the field of traffic action research. Spatial distribution characteristics of cruising points are analyzed based on taxi traveling track GPS data identification cruising points to generate passenger carrying points and background information points representing factors such as land, population and road networks of the previous day, grid analysis technique is adopted to convert spatial point data into point frequency data based on grids, a zero-inflated negative binomial model (ZINB) is constructed to analyze historical passenger carrying point information, background information and influences of spatial autocorrelation of the cruising points on taxi cruising point choice action, and cruising strategies of a taxi are summarized. The taxi cruising action analytical method brings convenience to further taxi traffic behavior simulation and provides an effective way for optimizing taxi cruising action and solving problems of road resource waste, fuel consumption and environmental pollution caused by cruising.

A method for monitoring a power grid uses power line sensors to measure time-stamped data representing AC current carried by the power grid at a multiple locations on the power grid, communicates the measured data from the power line sensors to a grid analysis device where the data measured by the power line sensors is synchronized and unwrapped to produce absolute phase data. The absolute phase data is then analyzed to generate predictions of instability of the power grid. The resulting unwrapped angle could also be called the “angle distance” from the reference.

The present invention discloses a distribution network operation indicator processing method based on a segmented geographic region. The method comprises the following steps: dividing a geographic region into multiple relatively independent grid cells without overlapping power supply ranges; mapping all distribution transformers into corresponding grid cells; by means of a similarity algorithm, dividing types of the distribution transformers in the grid cells into pure household distribution transformers, pure commercial distribution transformers or mixed distribution transformers; calculating load information of the distribution transformers in the grid cells, and calculating a maximal load rate, a minimal load rate and an average load rate of the distribution transformers in the grid cells during different periods of time, and determining power utility characteristics of the distribution transformers in the grid cells; calculating a load indicator of the distribution transformer in each grid cell; and displaying the power utility characteristic and load indicator of the distribution transformer in each grid cell in the form of a map, so as to determine a distribution network operation indicator of the grid cell. According to the method provided by the present invention, the grid analysis idea is used to analyze the power utility characteristics, load characteristics and load information of the distribution transformers in the grid cells, and the analysis granularity is more refined.

A method for improving semiconductor yield by in-line repair of defects during manufacturing comprises inspecting dies on a wafer after a selected layer is formed on the dies, identifying defects in each of the dies, classifying the identified defects as killer or non-critical, for each killer defect determining an action to correct the defect, repairing the defect and returning the wafer to a next process step. Also disclosed is a method for determining an efficient repair process by dividing the die into a grid and using analysis of the grid to find a least invasive repair.

Methods of route planning for a moveable device and associated systems are disclosed herein. In representative embodiments, the method includes (1) downsampling a 3-D point cloud generated by a distance-measurement component of the movable device to obtain a downsampled point cloud; (2) extracting ground points from the downsampled point cloud; (3) analyzing the ground points in a surface-detecting direction; and (4) identifying an object based at least in part on the downsampled point cloud and the ground points. The identified object and the ground points can be used for planning a route forthe moveable device.

The invention discloses a photovoltaic power generation probability model establishing method for a medium-and-long-timescale grid analysis. The method comprises: S10, establishing a discrete probability time sequence model for describing changing of a mean value of solar irradiance per hour at a designated date; S20, establishing a continuous probability density model for describing stochastic volatility of solar irradiance around the per-hour mean value in each hour; and S30, on the basis of solar irradiance samples of the discrete probability time sequence model and the continuous probability density model at any designated time, establishing a photovoltaic power model of a photovoltaic power source. The method has the following advantages: the photovoltaic probability model established by the method covers the long time operation process; a few of parameters are involved and dependence on historical data is low; and the internal correlation, generated by territories and scheduling rules, between the photovoltaic power source and between the photovoltaic unit and the load can be reflected effectively.

The invention provides a full-tensor gravity gradiometer data quality evaluation and filtering processing method. The method comprises the following steps: carrying out noise estimation on each gradient component measured by a full-tensor gravity gradiometer through an odd-even grid analysis method; constructing a weighted joint inversion filtering equation according to weight of each gravity gradient component determined by a noise estimation result and a Fourier series solution of a Laplace equation; solving a Fourier series coefficient in the weighted joint inversion filtering equation by utilizing an optimal linear inversion method; and carrying out forward calculation by using the Fourier series coefficient obtained by calculation to obtain a filtering result. According to the full-tensor gravity gradiometer data quality evaluation and filtering processing method provided by the invention, effective high-frequency effective gravity gradient information can be reserved while a high-frequency noise of measurement data of the full-tensor gravity gradiometer is removed, and precision and a resolution of filtered result data are remarkably improved.

The invention specifically relates to a tobacco market big data visualization method based on space-time grids. The method comprises the steps of: 1, creating a three-dimensional time-space grid G according to the preset parameter space side length L and time sequence interval I, and mapping a whole tobacco market data set to the three-dimensional time-space grid G according to the time-space bound variable V in the tobacco market data set P; 2, performing data analysis and calculation on the checks in the three-dimensional time-space grid G; 3, performing data visualization on the three-dimensional time-space grid G after calculation and generating a tobacco market space-time grid analysis chart. According to the technical solution, the method can achieve data-driven visualization of massmulti-dimensional tobacco market big data based on time-space grids, thereby showing the time-space change of selling development trend of the tobacco market.

A method for improving semiconductor yield by in-line repair of defects during manufacturing comprises inspecting dies on a wafer after a selected layer is formed on the dies, identifying defects in each of the dies, classifying the identified defects as killer or non-critical, for each killer defect determining an action to correct the defect, repairing the defect and returning the wafer to a next process step. Also disclosed is a method for determining an efficient repair process by dividing the die into a grid and using analysis of the grid to find a least invasive repair.

The invention relates to a thermal environment analysis method and device, equipment and a storage medium, and the method comprises the steps: employing a set grid analysis method to divide a target analysis area into at least two sub-areas, carrying out the sequential numbering of the sub-areas, and the set grid analysis method comprising a uniform grid analysis method and a non-uniform grid analysis method; calculating design index data of each sub-region by applying a set thermal analysis algorithm, and classifying the design index data according to a preset classification standard; and adding corresponding display identifiers to different types of design index data, and displaying the display identifiers in the sub-regions of the corresponding numbers. And the thermal environment analysis accuracy is improved, so that the thermal environment analysis is more suitable for national conditions in China.

The invention provides a gridding-based power distribution network planning service management information system, which comprises an information acquisition module used for acquiring grid division information in a power distribution network area and acquiring economic evaluation basic data in each grid; an intra-grid analysis module used for analyzing the current situation of the grid structure in the grid to obtain a topological analysis result, an N-1 analysis result and a power supply capability analysis result of the grid structure; a power demand planning management module used for acquiring newly added power planning information, planning a new transformer substation outgoing line scheme according to the economic evaluation basic data in the grid in combination with an analysis result of an analysis module in the grid on the current situation of the grid and newly-added power utilization planning information; and a management module used for auditing and managing the new transformer substation outgoing line scheme. According to the invention, the working efficiency of power grid planning is greatly improved.

The invention discloses a hydrophobicity live-line test method for a composite insulator of a power transmission line. The method comprises the following steps: collecting a composite insulator watercoating image and a corresponding hydrophobicity grade to establish a sample data set; constructing a convolutional neural network model based on VGGNet, and training the convolutional neural networkmodel by using the sample data set to obtain a composite insulator hydrophobicity grade judgment model; calculating the flight safety distance of the unmanned aerial vehicle according to the electromagnetic field disturbance state of the unmanned aerial vehicle around the power transmission line; enabling the unmanned aerial vehicle to fly in the power transmission line according to the flight safety distance to acquire a new composite insulator water-covering image, and based on the composite insulator hydrophobicity grade judgment model, adopting a grid analysis method to carry out hydrophobicity grade judgment on the new composite insulator water-covering image, so a composite insulator hydrophobicity grade distribution diagram can be obtained. According to the method, the hydrophobicity grade of the composite insulator can be directly judged.

The disclosed implementation method for grid analysis in TD-SCDMA comprises: generating at least one-time user distribution for the simulation system, executing static snatch when system with relative user distribution enters stable state; then recording all power message of current simulation environment, and generating real-time performance parameter for every grid in the simulation area; and calculating the average performance parameter. This invention can obtain analysis result with high reference value fit to TD-SCDMA system optimization.

The invention relates to the technical field of artificial intelligence, in particular to an air conditioner plastic water pan grid glue shortage detection method and system based on corner detection. According to the method, grid angular points in a water pan image are detected. And classifying according to the coordinates of the grid angular points to obtain a plurality of grid angular point groups and corresponding grid vertex areas. And obtaining a grid analysis region between the grid vertex regions. Pixel points of a grid line category in the grid analysis area are obtained through the pixel value features, and the analysis confidence coefficient of the grid analysis area is obtained according to the number of the pixel points of the grid line category and the average pixel difference between the grid line category and other categories. And obtaining a pixel mutation degree according to the pixel difference between each pixel point in the grid analysis region and other pixel points in the neighborhood of the pixel point, and obtaining a glue shortage degree of the grid analysis region by combining the analysis confidence coefficient. According to the method, the glue shortage degree with high reference is obtained by combining the pixel features of glue shortage with the confidence coefficient of each region, and accurate and simple glue shortage detection is realized.

A method and system for determining blur in digital video due to high quantization adopted during encoding of an image. The image is preprocessed to filter the noise and an edge image is extracted from the preprocessed image. A gradient sign change is determined for each pixel of the edge image. A ringing metric is determined based on the gradient magnitude and the gradient sign change. Further, a blockiness metric is determined based on a block grid periodicity and offset that is determined based on block grid analysis of the edge image. Further, a perceptual blurriness metric is determined using a mean and kurtosis computed based on a gradient histogram analysis of the block grid analysed edge image. A composite blurring metric is determined based on the blockiness metric, the perceptual blurriness metric, and ringing metric.

The invention relates to the technical field of power system microgrid scheduling and particularly relates to a wind / storage integrated power scheduling plan optimization implementation method. The method comprises the steps that in the operation process of a discrete single wind generating set without an anemometer tower, the actual wind speed parameter relation between a regional numerical weather forecast value and the position of a fan is obtained in the trial operation stage, a data relation model is obtained through a multi-grid analysis algorithm based on finite element analysis, and weather forecast of short-term and ultra-short-term fan installation points is conducted; then, short-term and ultra-short-term wind power prediction is carried out by means of limited local weather forecast and experimental parameters of delivery of the wind turbine generator, fluctuation stabilization of generated power prediction is adopted as reported grid-connected power plan data, and the smoothness of grid-connected power fluctuation is guaranteed; a power plan deviation in real time is calculated by utilizing a lag inertia response of the wind generating set and a wind speed signal actually detected by a fan, an energy storage system is dynamically given, participation in dynamic compensation of the power plan deviation is realized, and the accuracy of a plan is ensured.

A charging station for providing electrical power to charge an electrically operable vehicle, comprising a grid-side multi-wire power connection for connecting the charging station to a distribution grid and comprising a control device for controlling the charging station, wherein the control device is configured to identify, by means of a grid analysis, a distribution grid connected to the grid-side multi-wire power connection. The invention also relates to a method for controlling the charging station, in which a grid analysis of a distribution grid connected to the grid-side multi-wire power connection of the charging station is carried out and in which the connected distribution grid is identified on the basis of the grid analysis.

The invention discloses an adjustment method for a weld line of an injection-molded product. The adjustment method for the weld line of the injection-molded product comprises the steps that grid analysis is conducted on a product to be injection molded, the filling form of the product to be injection molded is simplified into a ridge-form isometric view, and the included angle line of a molded surface is determined; mold flow analysis is conducted on the product to be injection molded according to the included angle line of the molded surface, and the position of a main sprue of the product to be injection molded is determined; mold assembling is conducted, material flow is injected, and the weld angle of the surface A is made to be larger than 130 degrees by controlling the rubber outlet and ending position through a valve sprue and changing the direction of material flow through the mold temperature difference according to the feature structure of the product to be injection molded; and cooling and demolding are conducted, and the injection-molded product is taken out. According to the adjustment method for the weld line of the injection-molded product, the filling form of the product to be injection molded is simplified into the ridge-form isometric view, and the weld line on the surface A of the injection-molded product is shielded by hiding the weld line to the surface B, and thus the weld line cannot be seen with naked eyes; and the injection-molded product prepared through the method is good in surface quality, and the adjustment method is high in actual operability and universality.

The invention discloses an ordered charging algorithm based on a grid analysis method. An Internet of Vehicles platform obtains geographical location information of all V2G charging piles in a specific area and real-time geographical location information of an electric vehicle; the power grid EMS obtains the real-time charging price and transmits the real-time charging price to the vehicle networking platform; the Internet of Vehicles platform takes the coordinates of the geographical location information of all the V2G charging piles and the coordinates of the real-time geographical location information of the electric vehicle as input, gridding finite element analysis is performed through a grid analysis method on the Internet of Vehicles platform, and the geographical location information and the arrival time information of the specific V2G charging piles are obtained through calculation; the power grid EMS distributes corresponding power according to the final decision of the vehicle networking platform, the specific workflow distributes power to the specific V2G charging pile, and the specific V2G charging pile distributes power to the electric vehicle at the same time. Through the providedordered charging algorithm based on the grid analysis method, the distance between the electric vehicle and the V2G charging pile is shortest, the electric vehicle supplies the minimum charging amount and the minimum electricity price at the V2G charging pile, and ordered charging is achieved.

The invention discloses a method of generating a navigation experience route using vehicle trajectory data, and belongs to the technical field of generating the navigation experience route by utilizing the vehicle trajectory data. The method comprises the following steps: step 1, selecting a proper grid size according to road density and calculated data size; step 2, carrying out statistics on routes among the grids; 3, obtaining a vehicle journey marked according to the grids, and storing any two pieces of grid information passing through the vehicle journey into a database; 4, taking out allpassing times exceeding a given value K; and step 5, finding out a route S with the most passing data. According to the invention, the travel of the vehicle is represented by a grid analysis method for the vehicle trajectory, experience route statistical analysis is carried out on all grid pairs meeting conditions in the journey, the defect that only a starting point and an end point are countedin the prior art can be overcome, existing route selection experience is more fully utilized, and the use experience of auxiliary route decision making in navigation application is better facilitated.

Ports at which a cell served by a local powergrid is to be modeled are designated on a selected metal layer N-levels down from the topmost metal layer of the local powergrid. The cell is modeled at the designated ports, excluding any metal layers above the selected metal layer. Any metal layers of the local powergrid above the selected metal layer are included as part of a model of the global powergrid, rather than as part of the local powergrid, and a hierarchical powergrid analysis is performed.

The invention discloses a port ventral region division method based on GIS technology. The method comprises the following steps: obtaining related index data of all ports in a target region; carrying out a PCA principal component analysis on the related index data, and calculating a port strength Aj of each port; constructing a grid analysis map layer and a multi-modal transport network analysis map layer in a road mode in the target region, and comprehensively obtaining a transport cost distance Dij from any region i to any port j; substituting the port strength Aj of each port and the transportation cost distance Dij from any region i to any port j into a Huff model which is based on an abdominal region division to obtain a probability that a cargo owner of region i selects to go to the port j under the condition of an optimal transportation cost; substituting the probability into a Cullinane competitive abdominal region model, and outputting an abdominal region division result of all ports. The method enables the realization of a refined and modernized port abdominal region division and the technical solution is highly practical and widely applied.

The invention discloses a geographic grid-based government affair information resource integration method. The method comprises the steps of performing multilevel geographic grid division; performing spatialization processing of government affair information resources; performing time-space coherence processing of the government affair information resources; and performing information integration of multi-scale geographic grids. By fully utilizing a geographic grid division technology, a grid coding method, a text word segmentation and extraction method and a spatial statistical analysis technology, the fusion of government affair information and space information is realized; deep integration and application of the government affair information resources are performed; and grid analysis of single type of data is upgraded to grid internal integration analysis of government affair information resources of multiple types and multiple scales, so that comprehensive government affair data space distribution, comparison and associative analysis can be carried out in a specified region. The information extraction and resource integration can be quickly realized in regional planning and emergency of governments.

The invention relates to a 3-10kV grid six-layer 15-dimension status grid analysis method. A 10kV grid is analyzed from six levels: (1) power supply path; (2) line structure; (3) power supply capacity; (4) contact information; (5) accident safety evaluation; and (6) automation and communication. The invention provides a quantifiable multilevel evaluation method. The previous means of evaluation through perceptual knowledge, personal factors or single judgment basis is changed. With further improvement on the principle of order-of-priority distinguishing of the distribution network projects in first-class cities and with the construction of a large-scale planning system, especially, with the advance of the planning and design integration mode, higher requirement is put forward on project selecting and sorting. With the distribution network project sorting system, problems, for example, evaluation can hardly cover all project types, the subjective factors account for a significant proportion in the scoring process, and the reference value of the scoring result is reduced, are solved.

The invention relates to an intelligent error prevention strategy system for power grid dispatching based on the whole network topology, including a dispatching control center and a module connected with the dispatching control center: a module for preventing misoperations: giving constraint conditions or operation reminders according to the rationality of the operation mode; automatic simulation Remote operation module: simulate operation based on remote operation information, so that the dispatcher can know the result of each step of operation through simulated operation, and give constraints or operation reminders according to the rationality of the operation mode; controllable module of dispatch operation process: in power grid analysis algorithm On the basis of the analysis of whether each process step is correct, when there is an error in a step, it will be reminded or prohibited immediately, so as to achieve the whole-process security constraints on the operation ticket process. The present invention avoids human misoperations that may occur in each step, and forms a remote control operation error prevention system with operation safety constraints that integrates monitoring, operation ticket generation, operation constraints, operation flow control, and operation statistics.

Systems and methods for facilitating end-user creation and use of analytical reports derived from or based on analytical report templates. The example method includes: displaying a user interface (UI) display screen incorporating page data derived from a database; providing one or more user options in the UI display screen to select an analysis report associated with the UI display screen; in part Generate an analysis report corresponding to the selection by taking a portion of the page data to automatically generate one or more queries configured to selectively retrieve data from the database based on the configuration information according to the configuration information specified in the analysis report. and using the one or more queries to populate one or more characteristics of the analysis report with report data derived from the database, thereby generating a populated analysis report responsive thereto, and then displaying the populated analysis Report.

The present invention relates to a method, device and storage medium for extracting high-income taxi drivers and their experience trajectories. Based on the taxi trajectories data, the present invention divides the trajectories data according to time periods and passenger loading status, and calculates the mileage, time, Income, etc. are used to make a preliminary judgment on the income of taxi drivers. Further, according to the distribution of the congested area, the trajectory spline method is used to make a secondary judgment on the driver type, and the trajectory interpolation method based on the intersection coordinates is used to quickly restore the high-income drivers who have been screened. For the corresponding trajectory, the extracted driving trajectory is used as a sample set, and through spatial grid analysis, it is mapped to the trajectory distribution histogram to form an image expression method of trajectory distribution.