12results about How to "Reduce identification costs" patented technology

This invention discloses a device type identification method, terminal device, and storage medium based on traffic sampling. It eliminates the need to collect complete device traffic data; device identification is achieved simply by sampling traffic at the gateway. To address the issue of missing traffic features, traditional tensor imputation algorithms learn the embeddings corresponding to tensor rows, columns, and depths, but cannot generalize to unknown rows, columns, or depths. This results in repeated retraining, time-consuming and costly feature imputation. This invention proposes an inductive tensor imputation method that utilizes historical information to learn and generate embedding functions, enabling fast and effective device traffic feature imputation.

This invention belongs to the technical field of bird diversity monitoring equipment, specifically relating to an identification device for assessing bird species diversity in protected areas or habitats. It includes an installation unit, a monitoring unit located at the top of the installation unit, and a lidar located at the top of the monitoring unit. The monitoring unit and the lidar are controlled to rotate by motor one and motor two, respectively, to monitor bird activity. An infrared camera is mounted on the outer end face of the monitoring unit, and a lens cleaning mechanism and a liquid storage tank are located at the top of the infrared camera. This invention enables motor two to drive the lidar to monitor bird spatial location information in real time, while simultaneously coordinating with a pressurization component to pressurize the liquid channel within the lens cleaning mechanism. This allows the cleaning fluid to be periodically sprayed out, achieving periodic self-cleaning of the infrared camera lens. This eliminates the need for an external spray nozzle control circuit and program, reducing device cost and overall power consumption, and increasing the outdoor operating time of the identification device.

This application relates to a method and apparatus for recognizing the display shape of tobacco and fast-moving consumer goods, including acquiring an image to be detected and performing product location recognition and product specification recognition to obtain location and specification recognition results that represent the location and specification information of each product; determining the global boundary points and minimum bounding rectangle of the product area in the image to be detected based on the location and specification recognition results, performing perspective transformation on the image to be detected based on the global boundary points and minimum bounding rectangle to obtain geometric correction results; performing cluster analysis on the products based on the geometric correction results, constructing a grid canvas based on the cluster analysis results to obtain grid construction results; determining the product whose specification information represents the target specification as the target product based on the location and specification recognition results and the grid construction results, and determining whether the actual display shape of the target product conforms to the target display shape based on the unique location of the target product to obtain the display shape recognition result.

This invention relates to the field of lithology identification methods, specifically a method and apparatus for identifying lithology in tight gravelly sandstone reservoirs through well logging. The method includes: determining key sensitive parameters for different lithologies within a target tight gravelly sandstone reservoir; establishing Q-models for specific lithologies and other lithologies based on the key sensitive parameters; identifying samples of specific lithologies based on the Q-models for those lithologies; and identifying samples of other lithologies based on the Q-models for those lithologies. This invention achieves precise identification and quantitative characterization of lithology in tight gravelly sandstone reservoirs, providing an intuitive and effective reference for subsequent calculations of tight reservoir parameters. It enables the identification and characterization of lithology using conventional well logging data, significantly improving the efficiency and reducing the cost of well logging interpretation.

The invention discloses a specific SNP (Single Nucleotide Polymorphism) locus combination for identifying red and white pitaya and hybrids, which comprises 10 SNP loci, and the 10 SNP loci are obtained by screening through multiple standards such as FST, allele frequency difference and LD pruning on the basis of SLAF-seq data of 45 core germplasms. The specific SNP site combination can be used for accurately distinguishing red-pulp pitaya, white-pulp pitaya and filial generations thereof, the problem of germplasm identification caused by phenotype confusion and interspecific hybridization is solved, and an accurate, efficient and low-cost molecular identification tool is provided for pitaya germplasm resource management, parent selection, molecular breeding and the like. The invention also discloses a primer for amplifying the specific SNP sites and application of the specific SNP site combination.

This invention provides a method, apparatus, electronic device, and storage medium for detecting rolled materials. The method involves acquiring the center of the side boundary of the rolled material, scanning the side boundary along any direction from the center to obtain marker point and contour point data, fitting the contour point data to a reference line in the corresponding direction based on the marker points, and performing multiple straight line fittings on the contour point data using the reference line as a reference to obtain multiple fitted straight lines. The roll state is determined based on the reference line and the fitted straight lines. This application reduces labor costs by automatically detecting the contour point data of rolled materials. By fitting the shape of the rolled material to the contour point data, multiple fitted straight lines are obtained. The roll state of the rolled material is judged based on the relationship between the straight lines, and the output results are directly transmitted to subsequent processes, facilitating adjustments by the robot and improving production efficiency.

The embodiment of the invention discloses a charging pile identification method and device. According to the method, charging messages reported in the charging process of a to-be-identified charging pile are analyzed, a multi-gun parallel charging self-checking result is stored as to-be-rechecked charging messages, and when the number of the to-be-rechecked charging messages is larger than a preset number, the to-be-rechecked charging messages are reversely checked to determine a corresponding target charging order. And if the average current value of the target charging order is greater than a preset current value, determining that the target charging order is a multi-gun parallel charging order, and when the number of the multi-gun parallel charging orders corresponding to the to-be-identified charging pile is greater than a preset order number, determining that the to-be-identified charging pile supports multi-gun parallel charging. According to the method, whether the to-be-identified charging pile supports multi-gun parallel charging is automatically identified based on the charging message reported by the to-be-identified charging pile, so that the process of field inspection and identification of operation and maintenance personnel is omitted, the identification cost is reduced, and appropriate charging piles are matched for different types of vehicles according to the identification result.

This invention discloses a vehicle speeding identification method, device, equipment, and storage medium. The method includes: when a vehicle is detected traveling on the road, determining the vehicle's position offset within a target time period based on the vehicle's position coordinates in a target coordinate system at different times; determining the vehicle's positioning interval time; determining the driving speed at each stage based on the positioning interval time and the vehicle's position offset within the target time period; determining the current driving speed based on the vehicle's position offset within the target time period; and comprehensively identifying the vehicle as speeding based on the driving speed at each stage and the current driving speed. By using the above method, determining the vehicle's position offset within the target time period based on its position coordinates at different times, determining the current driving speed, and determining the driving speed at each stage based on the positioning interval time, and then comprehensively identifying the vehicle as speeding based on the target speed limit, the accuracy of identifying vehicle speeding can be effectively improved, and the identification cost can be reduced.

The application provides an element recognition point data processing method and device, electronic equipment and a storage medium, relates to the technical field of electronic maps, can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving, and the method comprises the following steps: receiving recognition point data of a road image reported by a terminal; performing initial aggregation processing on the recognition point data based on a time sequence to obtain a plurality of recognition point sequences; extracting a recognition point subsequence corresponding to an element label of at least one element type from each recognition point sequence of the plurality of recognition point sequences; determining a recognition target difference and an image time difference between two adjacent recognition point data in the recognition point subsequence; and performing same element aggregation on the recognition point data in the recognition point subsequence according to the recognition target difference, the image time difference and an element similarity condition to obtain a target sequence segment corresponding to the recognition point subsequence. The application can ensure the coverage and integrity of road elements and reduce the cost of the terminal.

The invention belongs to the technical field of plant grafting, and particularly relates to an early identification method for healing degree and affinity of fruit tree grafted rootstocks and scions. The early identification method comprises the following steps: grafting a scion to a stock, culturing for 10-20 days, inserting the base part of the stock into a fast green staining solution for staining, and judging the healing degree and affinity according to the staining condition. Different rootstock and scion combinations after grafting are dyed by using the dyeing agent fast green, the transportation difference of the fast green in the grafted rootstock and scion combinations is analyzed, the rootstock and scion healing degree and affinity can be rapidly judged, and technical and theoretical supports are provided for rapid rootstock breeding, rootstock and scion combination screening and rootstock application.

This invention discloses an active injection-type fault nature identification method for wind farms connected to the grid via flexible DC transmission lines, belonging to the field of power system relay protection technology. S1. After a fault occurs, the sending-end MMC converter station detects a change in the circuit breaker state, exits the original V-f control strategy, and sets the modulation wave to zero, causing power loss on the AC side of the sending-end MMC converter station; S2. After waiting for the fault arc extinction time, the circuit breaker is reclosed, establishing a current injection channel; S3. The sending-end MMC converter station outputs a three-phase symmetrical sinusoidal modulation wave, which is processed to generate a switching signal, activating the capacitors of each phase bridge arm submodule, injecting a voltage detection signal into the AC side of the faulty line; S4. Based on the difference in the amplitude of the current signal generated by the voltage detection signal, the fault nature of the line is identified. This invention can accurately identify the fault nature of wind farms connected to the grid via flexible DC transmission lines, shorten power restoration time, improve system operational reliability, avoid overcurrent during the identification process in the event of severe faults, and has high sensitivity to high-resistance faults.

The invention relates to the field of molecular structure mass spectrum analysis, in particular to a phencyclidine and analogue structure analysis method based on EI mass spectrum. The method comprises the following steps: acquiring a characteristic ion sequence of a suspicious object in an EI mass spectrum mode; s30, judging whether the characteristic ion sequence meets the conditions of phencyclidine and analogues thereof or not, and if yes, turning to the step S30; if not, determining that the suspicious object is not phencyclidine and analogues thereof, and ending the analysis; judging the structures of pyrrolidine and piperidine in the suspicious object according to the characteristic ion M6; according to the characteristic ion M5, judging the structures of the thiophene ring and the benzene ring in the suspicious object; if yes, turning to step S40; if not, reducing the structure of the compound, and ending the analysis; the equation (1) and the equation (2) are solved according to the characteristic ion sequence, the results of x and y are obtained, x represents CH2, y represents O, and the structure of R in the suspicious object is judged; and restoring the suspicious object structure, and ending the analysis.