22results about How to "Efficient and Accurate Acquisition" patented technology

The invention provides a target tree species remote sensing recognition method based on space-air-ground cooperation, which comprises the following steps: performing adjacent superpixel combination on segmented pattern spots after superpixel segmentation, and performing feature factor-based model optimization on a current recognition model of a target tree species based on combined pattern spot distribution and field distribution data, so as to obtain a target tree species remote sensing recognition model. Target tree species recognition is executed based on the updated new recognition model, and correct recognition pattern spots are obtained; executing edge matching detection on the correctly recognized pattern spots, adjusting the current merging scale based on an edge matching detection result to obtain an optimal recognition model, and further obtaining a recognition result of the target tree species based on the optimal recognition model; according to the method, the accuracy of the pattern spot boundary is effectively improved while the recognition precision of the target tree species is ensured, so that the matching degree of the boundary of the segmented pattern spot and the actual boundary of the target tree species is effectively improved.

The invention provides a lightweight real-time data system, and relates to the technical field of data processing, a system management module, a data governance module, a data acquisition module, a data service module and a data asset module form a whole system structure, and a data quality evaluation model ensures the accuracy, integrity and consistency of data. The data acquisition module efficiently manages a data source; the data service module provides safe and reliable data access; the data asset module reasonably allocates resources, provides a decision basis and periodically updates and maintains; the lightweight design is adopted; universal data acquisition, calculation processing, data management and data service functions are integrated, repeated related code writing is reduced, flexible configuration and rapid deployment are realized, a business application construction mode is innovated, and lightweight processing enables the data system to adapt to global tourism management platforms and scenic spot management platforms of different scales and types.

The invention discloses a marine main engine cabin entering simulation method and system based on multi-view measurement. The method comprises the following steps: acquiring cabin space depth image information through multiple view angles, constructing cabin environment three-dimensional point cloud data, and unifying multi-view angle point clouds to the same global coordinate system based on camera calibration; performing accurate fusion on the multi-view point clouds by adopting a point cloud registration algorithm which introduces a dynamic weight and a local rejection mechanism, and extracting a boundary of an effective space of a cabin by utilizing an alpha-shape algorithm; motion trail modeling is carried out on the main engine cabin entering process, meanwhile, rapid real-time calculation of the minimum gap between a main engine envelope body and a cabin boundary is achieved by constructing a gridding distance field of a cabin space, and therefore whether the risk of collision or insufficient space exists in a given cabin entering path of a main engine or not is judged. According to the invention, high-precision, high-efficiency and high-real-time host entry space verification can be realized in a complex and narrow in-cabin environment, and reliable technical support can be provided for optimization and decision-making of a marine host entry scheme.

The invention discloses a software test report generation method and device, a storage medium and computer equipment, and the method comprises the steps: responding to a test report generation instruction of target software for a target scene, and obtaining test index data of different data sources through a unified multi-data source adaptation layer interface, the different data sources comprise a Prometheus time sequence data source, a Grafana visual data source and a YAML test case data source; obtaining a test report generation template corresponding to the target scene, and determining an index association rule and a rendering type in the test report generation template; performing association analysis on the test index data of the different data sources on the basis of an index association rule, determining test conclusion data of the target software on the basis of an association analysis result, and rendering the test index data in the Grafana visual data source on the basis of a rendering type to obtain a rendered picture; and embedding the test index data, the test conclusion data and the rendering picture into a test report generation template to obtain a test report corresponding to the target software.

The invention discloses a method, a system and equipment for quickly acquiring a road stake mark based on a machine vision technology and a storage medium, and the method comprises the following steps: setting a road of which the stake mark needs to be acquired, and setting a starting point and an ending point of the road, the stake mark of the starting point being known; obtaining a discrete road point array of path planning from the starting point to the terminal point; when the discrete road point array of the path planning from the starting point to the terminal point cannot be acquired, acquiring the road point array through a Selenium component; performing interpolation on the obtained road point array, so that each point on the array is located on a path planning curve; distance accumulation calculation is carried out in an array subscript increasing mode; and when the distance is accumulated to be greater than or equal to 100m, naming and deducing according to a road pile coding rule, and storing. According to the invention, the high-cost operation that a worker obtains the corresponding relation between the stake number and the GNSS positioning information by driving the vehicle to walk on the road section on the spot can be avoided, and the fuel cost, the labor cost and the time cost are greatly saved.

The invention discloses an unsupported 3D printing method based on skeleton extraction, which comprises the following steps: extracting a skeleton line representing a model structure from a model through a skeleton extraction algorithm; obtaining a normal section along the skeleton line through a normal section determination method; replacing part of the normal plane slices with arc slices through a slice mixing algorithm and an arc slice determination method to obtain a mixed slice result of the normal plane slices and the arc slices; performing path planning according to a mixed slicing result; and converting a path planning result into a G code for 3D printing. According to the scheme, the natural shape of the model can be used for supporting the model by slicing along the skeleton line, so that the requirement for an additional supporting structure is reduced or eliminated, the slicing result is obtained by adopting a mixed slicing algorithm of normal surface slicing and arc slicing, the problem of intersection caused by obtaining a slicing plane based on the skeleton line can be avoided, and the efficiency is improved. And the effectiveness and feasibility of the 3D printing method based on the skeleton line are ensured.

The invention discloses a human body data measurement method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a source point cloud of a target scene, a depth image of a target object in the target scene and a corresponding target point cloud through camera equipment; performing data comparison on the source point cloud and the target point cloud to obtain a difference point cloud; preprocessing the difference point cloud to obtain human body point cloud data; obtaining a human body pixel value of the target object in the depth image based on the human body point cloud data; and obtaining human body data of the target object based on the human body pixel value and a preset calibration value. Through efficient data acquisition, processing and analysis, accurate acquisition of the human body data is realized, the accuracy and reliability of the data are improved, the applicability and safety of the technology are enhanced, powerful technical support is provided for development of related fields, and the method can be widely applied to the technical field of data processing.

The present invention provides a method and device for matching drone images and point clouds, belonging to the technical field of computer image processing, the method comprising: obtaining image data to be matched, inputting the image data to be matched into a feature extraction network based on multi-stage deep learning of the Transformer architecture, obtaining feature points and feature descriptions extracted from the image; then performing feature matching on the feature points and feature descriptions of the image data to be matched to obtain matching point pairs; thereby, based on a preset image region network adjustment model, performing absolute orientation of the image region network based on point cloud feature constraints on the matching point pairs, thereby achieving drone image and point cloud matching. The present invention converts a three-dimensional point cloud into a two-dimensional depth map, converts the two types of data to the same dimension, and jointly optimizes the network through a key point detection module and a feature description module, so as to accurately and efficiently obtain the same-name feature mapping relationship between the two, thereby achieving accurate registration of the two types of data.

The present invention discloses a method and system for generating a semantic map of a construction robot. The method processes a plurality of grid maps obtained at different heights to extract basic indoor building structure feature information; constructs a robot passage cost information map based on the basic indoor building structure feature information and the robot body size; converts the indoor height information obtained by two-dimensional laser as the original information set into a coordinate system and adds it to the navigation map, and synthesizes the information with the passage cost information map to obtain a semantic map of the construction robot. The semantic map provided by the present invention extracts the door and narrow aisle area, and increases the travel cost, so that the path is considered in terms of safety when generating the path, and the inaccessible area is screened out, thereby improving the computing power and making the path take into account both safety and efficiency; the map is also divided into different areas, and when the points are connected under the condition that the working point order is not sensitive, the work is carried out according to the nearest order between the areas, so as to further improve the work efficiency.

The present invention provides a lightweight real-time data system, which relates to the technical field of data processing. A system management module, a data governance module, a data acquisition module, a data service module and a data asset module constitute the entire system structure. A data quality assessment model ensures the accuracy, integrity and consistency of data. An anomaly detection model can timely discover abnormal values. The data acquisition module efficiently manages data sources. The data service module provides safe and reliable data access. The data asset module reasonably allocates resources, provides a basis for decision-making and regularly updates and maintains. A lightweight design is adopted, and general data acquisition, calculation and processing, data management and data service functions are integrated to reduce repetitive related code writing, realize flexible configuration and rapid deployment, and innovate business application construction modes. Lightweight processing enables the data system to adapt to global tourism management platforms and scenic area management platforms of different scales and types.

The invention belongs to the technical field of constructional engineering, and particularly relates to a screening device for detecting the fineness modulus of sand and a screening detection method. According to the sand screening device, the sealing assemblies of the sealing parts are matched with the fixing assemblies, elastic sealing rings are arranged at the top and the bottom of each screening ring, tight sealing between the adjacent screening layers is achieved through vertical pressing of the upper pressing rings, the lower pressing rings and the connecting rods, and sand can be effectively prevented from being scattered from gaps in the screening process; the whole device is comprehensively protected through a protection barrel body and a sealing cover assembly of the protection part, external impurities can be prevented from entering the device, parts can be prevented from being collided and damaged, a stable frame structure is formed in combination with the fixing assembly, and the screen layer can be effectively prevented from loosening and shifting in the screening process; meanwhile, a spring assembly is adopted to buffer vibration impact force, and damage of vibration to the weighing sensor and other parts is reduced; and a preset sand fineness modulus algorithm is adopted, so that the sand sample fineness modulus can be accurately and efficiently obtained.

The present application relates to the technical field of production process monitoring, and discloses a monitoring method for a production process. The monitoring method for a production process includes, when a serial code of a product is detected, starting to obtain the production process information of the product; and saving the correspondence between the serial code and the production process information. The present application obtains the production process information of the product when the serial code of the product is detected, and saves the correspondence between the serial code and the production process information. In this way, when the correspondence between the serial code and the production process information is obtained, when it is necessary to understand the production process of a specific product, it is only necessary to check the serial code of the product to accurately and efficiently obtain the production process information of the product. The present application also discloses a monitoring device for a production process and an electrical equipment production line.

The invention relates to the technical field of computer science, and particularly discloses a distribution network GIS data total analysis system based on a search tree, which comprises a central controller, a data acquisition module, a data preprocessing module, a search tree construction module, a traversal and recursive execution module, a data analysis and extraction module, a power supply module and a data reduction and secondary processing module, the modules and the sub-modules of the system work together, the data acquisition module accurately and efficiently acquires original data and avoids errors caused by manual acquisition, the data preprocessing module processes the acquired data and solves the problem of data dispersion and confusion, and the search tree construction module constructs an efficient structure and improves the data processing efficiency. The traversal and recursive execution module can accurately obtain data according to needs, the data analysis and extraction module deeply mines data values, the data reduction and secondary processing module meets different scene requirements, and the data visualization module visually displays the data and helps planners to understand the data.

The present invention relates to the field of image processing and analysis technology, and specifically to a method for monitoring the quality of road pavement construction, which specifically includes obtaining an original road surface image before road construction and a quality control road surface image after road construction; generating a flatness evaluation window corresponding to a pixel point based on the original road surface image and the quality control road surface image, and obtaining a concave and convex edge reflecting a road surface depression or protrusion in the flatness evaluation window, and finally obtaining a flatness evaluation result corresponding to the pixel point based on the analysis of the concave and convex edge, thereby realizing the construction quality evaluation of the road surface area. The technical solution provided by the present disclosure can eliminate the adverse effects of large pieces of asphalt on the flatness evaluation of pixel points through the technical means of image processing, and realize the automated and precise monitoring and evaluation of the road construction quality.

The present invention discloses a method and system for retrieval of different data sources and data structures based on paging aggregation, wherein the method includes: obtaining audio retrieval information of online car-hailing orders; obtaining page parameters for paging retrieval, and converting the query range into corresponding data coordinates based on the page parameters and the database structure of each data source; transmitting the data coordinates to the databases corresponding to different data sources respectively, so as to intercept the data for paging retrieval respectively; based on the results of the paging retrieval, obtaining the returned data from the databases of each data source respectively; aggregating the returned data from each data source, and sorting the returned data based on the sorting conditions to obtain the aggregated data; and performing accurate data filtering on the aggregated data based on the query conditions to obtain the final retrieval data. The present invention can realize the retrieval of multiple voice files in online car-hailing by aggregating multiple databases for paging, so as to make the retrieval more intuitive and efficient.

The present application provides a chip password acquisition method, device, storage medium and computer equipment, the method comprising: acquiring a target chip and a circuit diagram of the target chip; the target chip comprises a plurality of transistor groups; according to the circuit diagram, obtaining a target layer corresponding to an electrode node of each transistor group, performing a layer removal process on the target chip to expose the target layer; obtaining electrical parameters of each transistor group through the electrode nodes of each transistor group located in the target layer; obtaining character data corresponding to each transistor group according to the electrical parameters; obtaining the chip password of the target chip according to the character data. The present application can efficiently and accurately detect the chip password of the target chip.

The application relates to the technical field of mechanical design, and provides a fluid thermal power machine design optimization method and device and electronic equipment. The method comprises the following steps: acquiring small sample data corresponding to a low-dimensional design space of a fluid thermal power machine; for each optimization index, a regression model with high-order base functions between the optimization index and multiple design parameters is constructed; the regression model is trained based on the small sample data until a target function of the regression model is minimum, and the regression model at this time is determined as a prediction model of the optimization index; the target function comprises a prediction error term obtained based on the high-order base functions and an L1 regularization term; and the fluid thermal power machine is designed and optimized based on the prediction model. When multiple design parameters, multiple performance indexes and small sample data are faced, the application can consider the prediction accuracy, model generalization ability, physical interpretability and optimization efficiency, and thus comprehensive optimization design parameters meeting engineering constraints can be efficiently and accurately obtained.

This invention belongs to the field of computer vision technology, providing an image feature extraction model training method, a cross-view geolocation method and apparatus. The training method includes: constructing a sample pair set; constructing a joint training model, including: a backbone network for extracting global feature maps of satellite images and UAV images in the sample pair; a soft correspondence consistency module for obtaining the internal relation matrix and view migration relation matrix of the satellite images and the UAV images in the sample pair based on the global feature maps of the satellite images and the UAV images; training the joint training model based on a total loss function, with the trained backbone network serving as the image feature extraction model; the total loss function includes symmetric contrastive learning loss and structural consistency loss. The trained image feature extraction model exhibits good robustness to viewpoint changes and can output discriminative global feature maps.

The invention discloses a power line on-line monitoring method and system for a natural gas pipeline network, and relates to the technical field of power line monitoring. Line key nodes of a power line where the natural gas pipeline network is located are arranged, a plurality of types of sensors are deployed, and communication subnetworking is performed on all the sensors to which each line key node belongs; the method comprises the following steps: constructing partition monitoring networks to collect power related data of each line key node, performing communication parent networking on all the partition monitoring networks, constructing a natural gas pipeline network power comprehensive monitoring network, and summarizing the power related data of each line key node into the natural gas pipeline network power comprehensive monitoring network. After data processing, a data stream is generated and uploaded to a pipe network maintenance center, after the pipe network maintenance center carries out data analysis and reduction on the data stream, through comparison with a preset condition threshold value, a line section with an abnormal operation state in a current natural gas pipe network is judged, and corresponding early warning information is generated to inform operation and maintenance personnel to carry out line maintenance.

The application discloses a bag type recyclable pressure type anchor rod, which comprises an anchor head anchor, a rod body, a bearing body and an anchoring body. The rod body comprises a steel strand and a protective sleeve, the protective sleeve is sleeved on the periphery of the steel strand, the bearing body is connected with the steel strand at the end of the rod body, and the anchoring body comprises a cement soil anchoring body and a cement slurry anchoring body. The cement soil anchoring body is formed by high-pressure rotary jet grouting process of cement slurry and surrounding soil, and the cement slurry anchoring body is formed by injecting cement slurry into a bag around the rod body through a reserved grouting pipe. The anchor rod makes the shear stress distribution of the anchoring body and the soil interface more uniform, effectively prevents the cement soil anchoring body from being damaged under pressure, and fully plays the bearing performance of the anchoring body. The application also provides a bearing capacity calculation method of the bag type recyclable pressure type anchor rod, which can obtain the limit bearing capacity data of the anchor rod concisely, efficiently and accurately.

The present invention provides a model decision method and system for computational fluid dynamics analysis, the method comprising: step 1: obtaining the workflow of a cooling tower; step 2: constructing a workflow simulation model according to the workflow of the cooling tower; step 3: simulating the current workflow according to the workflow simulation model and outputting working parameters; step 4: analyzing the working parameters based on fluid dynamics calculations, outputting an evaluation result of the current workflow, and assisting in deciding the next execution process of the cooling tower according to the evaluation result; effectively improving the monitoring efficiency and accuracy of the cooling tower, and effectively improving the working efficiency of the cooling tower through auxiliary decision-making.

The invention discloses an infectious disease risk early warning data processing method, an infectious disease risk early warning data processing device, an infectious disease risk early warning data processing device and a computer readable storage medium, and the method comprises the steps: carrying out the registration processing of a corresponding initial data source based on a received data source parameter, and obtaining a data source; performing data acquisition from the data source based on the corresponding data source configuration to obtain original infectious disease data; performing data processing on the original infectious disease data through an infectious disease model rule to obtain infectious disease basic data; performing data integration and data analysis processing based on the infectious disease basic data and the etiological characteristic data to obtain infectious disease thematic database data corresponding to each infectious disease data type; performing infectious disease monitoring based on all the infectious disease thematic database data and the doctor seeing condition monitoring data to obtain a monitoring result; and performing early warning processing based on the monitoring result.