32results about How to "Solve the repeatability" patented technology

The invention relates to the technical field of unmanned aerial vehicles, and discloses an inspection unmanned aerial vehicle flight control management method, which comprises the following steps: step 1, an unmanned aerial vehicle obtains environment three-dimensional point cloud data through a laser radar, captures terrain visual information through an RGB camera and a depth camera, obtains real-time position and attitude information of the unmanned aerial vehicle through a GPS and an inertial measurement unit, and obtains the real-time position and attitude information of the unmanned aerial vehicle; and fusing the collected data to construct a spatial grid map, and taking the grid map as input data of path planning. A high-precision space grid map is generated through three-dimensional environment perception and modeling in combination with an unmanned aerial vehicle multi-sensor fusion technology, and a path is updated in real time by using dynamic environment data, and an air route is planned and optimized, so that path dynamic adjustment and energy consumption minimization of the unmanned aerial vehicle in a complex dynamic environment are realized; and the effects of improving the task execution efficiency, reducing the flight energy consumption and improving the flight safety are achieved.

The invention relates to the technical field of video stitching, and discloses a monitoring video stitching method, device and equipment and a storage medium, and the method comprises the steps: carrying out the video framing of a monitoring video collected by a monitoring terminal, and obtaining a plurality of target video frames; performing human shape detection to obtain a human shape detection result; aligning and cutting a face region in the human shape detection result to obtain a standardized face image, and extracting a face feature vector; performing motion prediction and trajectory extrapolation to obtain a multi-target human shape tracking result; inputting the multi-target human shape tracking result into a distributed computing framework for task allocation and cross-node feature matching to obtain a global human shape tracking result; and performing double-flow network processing on the plurality of target video frames according to the global human shape tracking result, calculating to obtain video stitching parameters, and performing stitching operation on the plurality of target video frames to obtain a stitched video, thereby effectively improving the quality and visual effect of the stitched video.

The invention discloses a bridge pier stud crack automatic detection system based on a wall-climbing robot, and relates to the technical field of crack detection, and the system realizes closed-loop operation from accurate crack detection to intelligent repair through a crack detection module and a repair material intelligent spraying detection module. The crack detection module uses a multispectral imaging device, a thermal imaging camera and a laser scanning technology, can collect a multispectral difference value G (x, y), surface temperature distribution T (x, y) and a depth matrix D (x, y) of a crack area, extracts a crack boundary B (x, y) through a high-precision algorithm, and calculates a crack volume Vc. And the repairing material intelligent spraying detection module dynamically calculates the volume Vm of the repairing material according to the volume of the crack, and the SLAM technology is utilized to optimize the spraying path and parameters, so that uniform coverage and efficient utilization of the repairing material are ensured. The system greatly improves the precision of crack detection and repair, and avoids material waste and repair omission.

The invention provides a self-discovery ad-hoc network control method based on a swan-gap operating system, and relates to the technical field of data processing, and the method comprises the steps: based on the swan-gap operating system, extracting the identification information and communication parameters of equipment from all to-be-networked equipment; carrying out compatibility judgment on the communication protocol version and the maximum support bandwidth between the devices; determining a control relationship between the master device and the slave device; dynamically allocating communication resources to each device by adopting a distributed channel allocation algorithm in combination with task requirements of the devices and network bandwidth information; periodically synchronizing the resource state of each device; when the slave device sends a networking quitting request, the master device updates the networking candidate data and re-determines the networking control relationship after releasing the corresponding communication resources; when the master device exits, the device with the highest priority is selected from the slave devices to automatically take over the control role and complete the reconstruction of the networking control relation; according to the invention, the autonomy and accuracy of networking are improved.

The invention relates to the technical field of network security vulnerability automatic testing, and discloses a curiosity-driven and deep reinforcement learning-based XSS automatic testing method, which comprises the steps of constructing an input environment for injection point exploration, constructing an intelligent agent with an internal reward mechanism, and constructing an XSS automatic testing system. A state flow diagram is constructed to record and manage a state flow path accessed by the intelligent agent in the exploration process, and injection point information is obtained; transmitting the injection point information to an intelligent agent in an attack vector generation model, and constructing a state space, an action space and a reward function in the attack vector generation model; and carrying out attack verification on the response page after the attack vector generation model sends the attack request to the target page, calculating a reward according to a verification result, and feeding back the reward to the attack vector generation model. According to the method, high coverage rate and high accuracy are achieved in the aspect of identifying the XSS injection points in the Web application, meanwhile, manual intervention is not needed in the training and testing process of the intelligent agent, and the testing efficiency and reliability are greatly improved.

The invention discloses a construction method and device of a query page, a storage medium and electronic equipment, and relates to the technical field of man-machine interaction interface design. The method comprises the steps that a user request is received, and the user request is used for changing a plurality of query conditions currently displayed in a display page or newly adding query conditions in the display page; a query condition configuration list is displayed in the runtime page, the query condition configuration list comprises N preset query conditions, and N is an integer larger than 1; according to the user request, multiple target query conditions meeting the user request are determined from a query condition configuration list, and the multiple target query conditions represent query conditions needing to be displayed to the user after responding to the user request; and rendering the runtime page according to the plurality of target query conditions to obtain a target query page. The technical problems of high repeatability and low efficiency of the creation process of the query page in the prior art are solved.

The invention discloses a construction method of an image description model, an image description method and equipment, and belongs to the technical field of image processing. A DT model comprising multiple layers of DT module cascading is designed, it is guaranteed that the denoising training process in a next layer of DT module is constrained by a prediction result of an upper layer of DT module through the multiple layers of DT module cascading, and on the basis of self-constraint of a diffusion model, the denoising training process of the next layer of DT module is optimized. Predicted sentence structure information and denoised comprehensive semantic information serve as enhanced constraint conditions to train a denoising process, and the method is a diffusion network non-autoregression image description method based on structure and semantic information condition constraint. The problems that in an existing non-autoregression image description method, dependency information is lacked between words, and generated sentences have serious word repetition and missing are solved, and the image can be rapidly and accurately described. In addition, the invention further provides an optimization strategy of multiple iterations of the P candidate models, so that the sample quality and the training efficiency can be greatly improved.

The invention discloses a rape pod detection and counting method and system based on YOLOv8, and the method comprises the steps: constructing a rape inflorescence pod image data set, and carrying out the training and testing of the YOLOv8, and obtaining a detection model with stable and standard detection precision; inputting the detected rape inflorescence silique image into the detection model, and outputting a bounding box and confidence coefficient for calibrating the rape silique by the detection model; and sorting the bounding boxes, calculating an overlapping degree between two adjacent bounding boxes, screening the bounding boxes according to the overlapping degree, and counting the number of the bounding boxes reserved by screening to obtain the total number of rape inflorescence siliques. The detection model obtained by the method meets the detection requirements of small-target rape pods, the problems of missing detection and repeated counting are solved through bounding box screening, and the counting accuracy is high. According to the system, full-process automation of input-detection-counting-output is achieved, the operation threshold is lowered, and the actual use requirement of a user can be better met.

The present application relates to a kind of forest leaf instance segmentation method and system based on deep learning, method includes: obtaining vegetation image, vegetation image is input into leaf instance segmentation model, obtains leaf instance segmentation prediction result;Leaf instance segmentation model is trained using training set;Training set includes: vegetation original image;Feature extraction and enhancement are carried out using backbone module in leaf instance segmentation model, and adaptive spatial fusion mechanism in progressive feature pyramid network is integrated to dynamically adjust feature weight, generate dynamic fusion feature;Through the dynamic asymmetric spatial perception mechanism built-in in dynamic anomaly regression head module, the corresponding multi-source deformation feature layer of dynamic fusion feature is obtained, and the feature fusion strategy of top-down cascaded decoding module is used to optimize multi-scale feature, obtain multi-source fusion feature layer, further using multi-source fusion feature layer, generate leaf instance segmentation prediction result.The present application solves the problems of data scarcity, poor adaptability and low efficiency.

The invention discloses a method and device for sending buried point data of terminal equipment, a storage medium and a computer program product, and relates to the field of computers.The method comprises the steps that under the condition that it is determined that the terminal equipment triggers a buried point code, buried point data corresponding to a target service event is generated through the buried point code, the burying point data is used for indicating service event information generated when the terminal equipment executes the target service event; storing the burying point data into a cache queue; and sending the buried point data in the cache queue to a back-end server according to a preset sending strategy so as to indicate the back-end server to analyze a service operation path of the target service event according to the buried point data.

The utility model discloses an automobile light-emitting mark laser etching fixing tool which comprises a label bearing plate, a light-emitting mark, a light-emitting mark, a light-emitting mark, a light-emitting mark, a light-emitting mark, a light-emitting mark and a light-emitting mark, the positioning assembly is arranged on the label bearing surface, and the positioning assembly is configured to be in concave-convex fit with the label in the thickness direction of the label bearing plate; the angle adjusting assembly is connected with the label bearing plate and extends in the direction away from the positioning assembly; according to the automobile light emitting mark laser etching fixing tool, the stability and precision of the tool and the laser etching process are improved, and the matching degree of the track of a light emitting area is improved.

The invention discloses a Hash and feature selection-based software and hardware equipment fingerprint fine-grained generation method, and belongs to the technical field of power network software and hardware equipment fingerprint biomarker generation. Based on the information entropy and the self-correlation coefficient, the features used for generating the device fingerprints are screened out from the numerous features, representative and stable features are extracted from the device fingerprints, and selected feature parameters are converted into hash codes used for the device fingerprint generation and matching step; different devices are identified and distinguished hierarchically and accurately through a fine-grained device fingerprint generation step based on feature selection, a hash code and a Bayesian network.

The invention relates to the technical field of ship manufacturing or assembling, in particular to a ship block temporary reinforcing method. A temporary strengthening method for ship block manufacturing comprises the steps that in the design stage, according to the assembly sequence, strengthening structures and strengthening positions, needed by all stages, of the positions needing to be strengthened are marked in a design drawing or a process construction drawing in advance according to the sequence of a subassembly stage, a segment stage and a segmentation stage; in the construction stage, temporary reinforcement is conducted according to marks in design drawings or process construction drawings. In the design stage or the process construction stage, the overall structure of the ship can be considered, and other parts can be displayed in a drawing, so that the problem of influence on assembly caused by on-site temporary reinforcement in the prior art can be avoided in the design process; therefore, the problem that in the prior art, temporary reinforcement of the ship structure is determined by on-site constructors in the construction process, and consequently repeated reinforcement or missing reinforcement possibly occurs to the ship structure is solved.

The application discloses a kind of nonlinear carrier phase removal methods and systems of fringe projection image.The method obtains the fringe projection image of first and second view angle with nonlinear carrier;Including the following steps: (1) the fringe projection image of first and second view angle is fused using image splicing algorithm;(2) using singular value decomposition, the first principal component obtained is regarded as background component, and other components are regarded as foreground component;(3) detect foreground region and background region;(4) polynomial curved surface fitting is carried out to the background region of first and / or second view angle, and the first and / or second nonlinear phase is obtained;(5) subtract respective carrier phase and the respective nonlinear phase obtained in step (4).The application obtains global fusion fringe projection image without obstruction by double camera fringe imaging system, and detects background region based on singular value decomposition, so that nonlinear carrier phase is accurately removed.

The application belongs to the technical field of information security, and provides a trusted cloud level standardization framework system and a quantitative mapping method, which is executed by one or more processors deployed on a server or an authentication platform, is based on a predefined trusted cloud level standardization framework system and a unified data security level measurement, and comprises the following steps: a receiving step of receiving qualitative security control items from an external standardization framework; and an automatic process of "parsing-mapping-evaluating-generating" for converting the external qualitative control items into digital levels based on the unified measurement, which not only improves the traditional compliance judgment from binary qualitative to fine quantitative, realizes accurate comparison of security capabilities, but also provides a core technical path for realizing automatic compliance evaluation, generating intuitive and trusted credit scores, and constructing an end-to-end verifiable supply chain trust system.

This invention belongs to the field of power system planning and operation, and particularly relates to a method and system for optimizing the coordinated capacity configuration of flexible DC converter stations and reactive power compensation devices. It includes constructing a flexible DC interconnection model and establishing the capacity of the flexible DC converter station. P - Q The coupling characteristic curve is calculated. Based on the real-time reactive power demand of the system and the dynamic response weight of the flexible DC-DC converter station, the equivalent substitution coefficient of the flexible DC-DC interconnection for the traditional reactive power compensation device is calculated. Using the marginal cost analysis method, the marginal impact index of active and reactive power regulation demand on the overall net benefit of the system is calculated, and it is determined whether the flexible DC-DC interconnection device alone can meet the system's reactive power demand. If not, the reactive power gap is calculated and the traditional reactive power compensation device is configured. If it meets the demand, the optimal capacity configuration result of the flexible DC-DC converter station and the reactive power compensation device is obtained by maximizing the overall net benefit function of the system. This invention significantly improves the utilization rate of power electronic assets and the economy of power grid construction while ensuring the transient security support of the power grid.

The invention provides a rural highway connected path calculation method and device and electronic equipment. The method comprises the following steps: acquiring road network data of a current area to construct a rural highway road network data set; generating an important node set based on preset important node attributes; calculating a target path and a linear distance between the current important node and other nodes through a preset distance calculation method; screening the to-be-judged paths with the same computational nodes, calculating the path ratio of the to-be-judged paths, and determining the to-be-judged paths with the path ratio greater than a first preset threshold value as newly added paths; calculating a path weighting score of the to-be-judged path, and determining the to-be-judged path of which the path weighting score is greater than a second preset threshold value as a bottleneck path; and taking the newly added path and the bottleneck path as a to-be-planned path of the current area. In the mode, through construction of a complete road network data set and automatic path analysis, connectivity and efficiency of rural road network data processing calculation are improved, and support is provided for rural road network maintenance and reconstruction and extension planning.

The present disclosure provides a data processing method, device and electronic device based on information search, which relates to the field of data processing, and in particular to the field of intelligent search. The specific implementation scheme is: in response to an information search instruction, display the search result page corresponding to the information search instruction, wherein the information search instruction contains a search keyword and the search result page contains original multimedia data; in response to a preset operation performed on the search result page, obtain the first multimedia data generated by performing the preset operation, wherein the preset operation includes one of the following: a selection operation of selecting the multimedia data contained in the search result page, or a screenshot operation of taking a screenshot of the search result page; determine the target search record corresponding to the search keyword, wherein the target search record is an existing first search record or a newly created second search record; store the first multimedia data and the page address of the search result page in the target search record.

The invention relates to the technical field of unmanned aerial vehicle inspection, and particularly discloses an unmanned aerial vehicle inspection management system suitable for power grid infrastructure equipment, which comprises a graph structure cd1 construction module, an overall path list construction module, a parameter determination module, a node division module, a graph structure cd2 construction module, a unit path list construction module and an inspection path list construction module. According to the method, the power grid facilities and the power transmission line information are modeled into the graph structure, and based on the planned whole and the unit path list, efficient and comprehensive inspection of the power grid facilities is realized, the unmanned aerial vehicle is ensured to cover all to-be-inspected areas on the optimal inspection path, and meanwhile, the inspection efficiency is improved. The system can automatically adjust and divide node surfaces according to the shooting range of the unmanned aerial vehicle, so that the inspection process is more accurate, missing inspection or repeated inspection is avoided, the efficiency and reliability of the inspection task are finally improved, and the flight time and energy consumption are reduced.

The present invention relates to the field of image safety supervision, and provides a wildfire anomaly detection method based on multi-frame dynamic processing of positive samples. The purpose is to improve the accuracy and stability of the wildfire detection algorithm through innovative dynamic processing and positive sample strategies, especially in the application of power transmission scenarios, so as to effectively reduce false alarms and improve detection efficiency. The main scheme includes obtaining a fine data set and training a detection model by annotating wildfire data. The video frame is differentially processed to identify the changed area, and the specific size area is extracted and mapped to N equally divided masks to achieve dynamic target detection. The sky segmentation model and OpenCV process the image, save the outline of the sky area, and filter out false alarms of clouds. The scoring mechanism determines the alarm, and an alarm is triggered when the continuous score exceeds the specified threshold. After the alarm, the fire alarm score is reset, the cooling period is started, and the alarm is suspended.

The invention relates to the technical field of computer-aided scientific research, and discloses an all-weather system review automatic generation and updating method and system.The method comprises the steps that academic literature data pre-input into local storage are automatically scanned in an all-weather mode, system review lacking or needing to be updated is recognized, and corresponding research subject description is generated; expanding and generating a multi-database retrieval strategy set; retrieving the plurality of academic databases to obtain multi-source data of the candidate literatures, and performing standardized cleaning and duplicate removal processing on the obtained multi-source data to form a unified candidate literature set; inputting literature titles and abstracts into a trained screening model, and automatically outputting judgment results and reasons of the literatures; and a set formed by the included documents is input into the artificial intelligence writing model, a systematic review first draft is generated in a structured mode, statements in the first draft are all associated to corresponding document sources, and full-process automation of systematic review from intelligent retrieval and automatic screening to structured draft is achieved.

The application discloses a kind of city platform and method based on national network identity authentication public service, it is related to wisdom city field, it first utilizes national network identity authentication public service to complete user identity authentication to establish trusted access foundation, when user handles business, constructs data request contract and is authorized after user confirmation and is stored, forms transparent authorized mechanism of traceability. Then, based on the authorized range of user, the data token of limited access is generated, based on the unified data aggregation service, the required cross-source data is obtained, the on-demand aggregation and safe flow of data are realized, and the audit result is obtained by automatically auditing the aggregated data through business logic. Finally, the audit result is returned to the user. In this way, the business process can be simplified, the problem of repeated authorization and data silos can be solved, while the user data control right is guaranteed, and the intelligence and efficiency of city platform business handling are improved.

The invention provides an instruction analysis and assembly method and device. The method comprises the steps that a static instruction template corresponding to an instruction type is determined, the static instruction template is a constant array, elements of the static instruction template are arranged according to the declaration sequence of members in a structural body corresponding to the instruction type, and each element comprises the byte offset position of the member in the structural body and a data type identifier; based on a static instruction template corresponding to the instruction type, filling data in the instruction frame into a structural body corresponding to the instruction type according to the byte offset position and the data type of each member; and based on a static instruction template corresponding to the instruction type, splicing data corresponding to each member in a structural body corresponding to the instruction type according to the byte length corresponding to the data type of the member and the byte offset position of the member to obtain a byte array, and packaging the byte array according to an instruction frame format. According to the method provided by the invention, the accuracy and efficiency of instruction analysis and assembly are improved.

This utility model discloses a tooling table for machining oblique holes in aircraft carbon fiber seat backrests, relating to the technical field of aircraft seat machining equipment. The device, through the insertion structure of a first support base and a second support base in conjunction with a first pressure block and a second pressure block, can quickly and stably press the aircraft seat backrest, effectively avoiding displacement during machining and significantly improving clamping efficiency. A linear drive mechanism drives an electric drill to perform oblique drilling through positioning holes, ensuring consistent drilling angles and machining accuracy. Simultaneously, the design of a cylinder-driven support base rotation allows for the machining of oblique holes on both sides of the workpiece in a single clamping operation, completely solving the problem of traditional tooling requiring two sets of fixtures and repeated clamping, thus improving production efficiency. The device is easy to operate, reducing the labor intensity of workers while ensuring stable machining quality, making it particularly suitable for mass production needs and possessing high practicality and economic efficiency.

The invention provides a method and a device for deploying industrial digital twin applications. The method comprises the following steps of: S1, initializing an environment on a server; s2, deploying a digital twin application installer server, and starting the digital twin application installer server; s3, accessing an installation page through a browser, selecting a digital twin application scene type and a platform module, inputting database connection information, and executing an installation process; and S4, after the installation is completed, skipping to open a digital twin application login page. By adopting a standardized digital twin application deployment mode, the problems of repeated labor and uncertainty of manual deployment are solved, the influence of human factors is reduced, and the installation and deployment efficiency of the digital twin application is improved; according to the invention, by adopting a modularized deployment mode, the differential deployment of digital twin applications in different subdivision scenes in the industrial field is solved, and the problem of manufacturing a plurality of installation packages or redundant deployment of model files is avoided.

The present invention provides an automatic monitoring device for the relaxation depth of surrounding rock, which is used for deep detection in a borehole. The device includes: an acoustic wave acquisition probe and a camera probe integrated into an integrated structure, the acoustic wave acquisition probe includes an acoustic wave transmitting probe and at least one pair of acoustic wave receiving probes, and the camera probe, the acoustic wave transmitting probe and at least one pair of acoustic wave receiving probes are arranged at intervals; a pair of mobile devices, which are correspondingly arranged at both ends of the integrated structure, and are used to drive the integrated structure to move in the borehole; an orifice plugging device, which is arranged at one end of the integrated structure away from the deep part of the borehole, and is used to temporarily plug the orifice of the borehole after the integrated structure enters the borehole; a control component, which is electrically connected to the acoustic wave acquisition probe and the camera probe, and is connected to an external mobile terminal device for communication. The drawbacks of the existing detection equipment with repeated and low cross automation are solved; it can be widely used in the field of deep surrounding rock detection technology.

The embodiment of the present application discloses a tableware placement guidance method, device, storage medium and mobile terminal, which relates to the field of smart home. The method of the present application includes: determining the size information of each tableware among multiple tableware to be washed; determining the size information of the dishwashing rack; displaying a tableware placement guidance interface through a display unit; wherein the tableware placement guidance interface includes tableware icons of each tableware and a dishwashing rack schematic diagram of the dishwashing rack; generating the position information of each tableware in the dishwashing rack according to a preset space planning rule; according to the position information, placing each tableware icon in the dishwashing rack schematic diagram to obtain an overall layout diagram, so as to effectively guide the tableware placement, improve the efficiency of tableware placement and improve the dishwashing effect of the dishwasher.

The application provides a server, a display device and a live source import method. First, a mapping table based on geographical position and network operators is used for accurate query to filter available live sources in line with the local network environment of a user, avoiding misjudgment across regions. For unknown or unplayable live sources, the server generates a distributed detection task and distributes it to a second display device in an idle state in the same region to detect availability through a lightweight HTTP request, which not only avoids the IP blocking risk of centralized scanning, but also improves detection accuracy by using the local network environment. The available live sources detected are mapped to unique identification codes after semantic normalization processing and are dynamically updated to the mapping table to form a continuously optimized data closed loop. Through resource optimization strategies, the entire process minimizes interference with user devices, and finally provides the user with an accurate and de-duplicated list of available sources, improving determination efficiency and user experience.

This application relates to the fields of fire science and materials safety technology, and discloses a device and method for testing the smoldering characteristics of pipe insulation layers impregnated with organic materials. The device includes a first pipe body, a heating device, an insulation layer, a conveying device, a temperature acquisition module, an image acquisition module, and a data processing device. The first pipe body has an inner cavity, the heating device is disposed within the inner cavity, and the insulation layer is connected to the outer wall of the first pipe body. The conveying device includes a conveying pipe disposed on the outer wall of the first pipe body. The temperature acquisition module acquires temperature information, and the image acquisition module acquires image information. The data processing device is electrically connected to the heating device, the conveying device, the temperature acquisition module, and the image acquisition module, and outputs the smoldering characteristic parameters of the organic material to be tested. The device and method for testing the smoldering characteristics of pipe insulation layers impregnated with organic materials disclosed in this application solves or improves the problem of being unable to simulate the smoldering characteristic testing of insulation layers covering the curved surface of hot pipes and impregnated with different organic materials.

The invention relates to the technical field of mining blasting, in particular to a damaged emulsion explosive remodeling device and method. The remodeling device comprises a plastic package roll rotating shaft and an explosive roll rotating shaft which are arranged in parallel, the plastic package roll rotating shaft and the explosive roll rotating shaft are telescopic rod pieces and detachably arranged on a support, the plastic package roll rotating shaft and the explosive roll rotating shaft are rotationally connected with the support, and the explosive roll rotating shaft is further provided with a gap used for containing a damaged emulsion explosive roll. The cartridge rotating shaft is provided with clamping pieces on the two sides of the gap respectively, and the clamping pieces are used for fixing the damaged emulsion explosive cartridge. According to the method, the damaged emulsion explosive is wrapped by the plastic film again, the problem that the emulsion explosive cartridge with the damaged outer package is directly used or the waste is recycled can be solved, the method is safe, simple and low in cost, the performance of the emulsion explosive is not affected after remodeling, and the method has wide application prospects.