109 results about "Real-time scan" patented technology

The invention discloses a test data intelligent generation and privacy compliance desensitization method, which belongs to the technical field of electric digital data processing, and comprises the following steps: monitoring the structure change of a preset regulation update source and a target application system, and obtaining compliance dynamic information; analyzing the compliance dynamic information to generate a dynamic compliance rule base; based on the dynamic compliance rule base, generating an initial test data set through a preset intelligent data generator; desensitizing the initial test data set, and outputting a desensitized test data set; scanning the desensitized test data set in real time for compliance verification, and generating a compliance verification report; and dynamically optimizing the generation strategies of the dynamic compliance rule base and the intelligent data generator based on the compliance verification report. Dynamic rule base construction, intelligent separated data generation, closed-loop verification optimization and desensitization audit tracing technologies are adopted, laws and regulations and system changes can be automatically adapted, and the service validity, privacy security and law compliance of test data are synchronously guaranteed.

The invention discloses a low-altitude economic flight data management method based on a block chain technology, and relates to the technical field of low-altitude traffic management, and the method comprises the steps: verifying an encrypted positioning proof, generating a verification state set, decrypting flight coordinates according to the verification state set, and generating a credible coordinate data stream; performing sensitive airspace intrusion detection according to the credible coordinate data stream and the high-security protection node, performing collision risk analysis by the traffic management node to obtain an encrypted aggregated threat vector, and identifying a threat level according to the encrypted aggregated threat vector; and dynamically adjusting the working parameters of the airborne equipment according to the threat level, generating an airborne equipment regulation and control instruction set, scanning the signal-to-noise ratio and the threat intensity in real time, dynamically allocating a communication frequency band, and generating a new positioning strategy parameter. According to the method, the real-time signal-to-noise ratio and the threat intensity scanning result are combined, communication frequency band dynamic allocation and encryption strategy dynamic optimization are driven, the airspace situation awareness capacity is formed, the resource utilization rate is increased, and the anti-interference capacity is enhanced.

The invention provides a life cycle deletion optimization method for a distributed object storage system, which comprises the following steps of: S1, detecting the business volume of a cluster, starting a pre-scanning operation when the business volume is lower than a preset threshold value, and identifying an object to be deleted according with a life cycle rule; s2, respectively writing the to-be-deleted object information of different dates into corresponding omaps, and storing omap data in a disk according to a preset packaging frequency; s3, when the life cycle expires, directly reading the omap of the corresponding date, skipping a real-time scanning step, and executing batch deletion operation; and S4, recording statistical information such as the deletion quantity scanned every day on the xattr of the barrel, so that management software performs data trend analysis and operation and maintenance decision. According to the embodiment of the invention, the life cycle deletion efficiency can be improved, the metadata operation pressure is reduced, and the cluster storage space utilization rate is optimized.

The invention provides an ultrasonic control method for real-time scanning quality and self-adaptive acquisition and related equipment, and the method comprises the steps: synchronously acquiring an ultrasonic signal and at least one additional sensor signal in an acquisition period of scanning equipment; calculating multi-dimensional quality indexes including a signal quality index, an operation stability index and a contact state index in real time based on the ultrasonic signal and the additional sensor signal, and generating an overall quality score according to the multi-dimensional quality indexes; judging whether the total quality score reaches a preset qualified threshold value or not; if the total quality score is lower than a qualified threshold value, quality loss factors are determined according to the total quality score, control actions used for improving subsequent collection quality are generated and executed based on the quality loss factors, and the control actions comprise one or more of sending prompt information to an operator and automatically adjusting collection parameters of the scanning equipment. According to the invention, multi-dimensional evaluation and autonomous decision making are carried out on the ultrasonic quality by fusing additional sensor multi-mode signals, so that the ultrasonic acquisition quality is improved.

The invention relates to the technical field of data security, and discloses a dynamic hierarchical compliance data governance method, system and device and a storage medium, and the method comprises the steps: accessing multi-modal data; the method comprises the following steps: analyzing an input law and regulation text based on a large language model, converting into a structured data governance rule, and storing in a rule base; semantic understanding and correlation analysis are carried out on the multi-modal data, and sensitive level labels are dynamically distributed; in response to a received data access request, analyzing context information and user attributes, dynamically selecting and executing a target desensitization strategy, and generating desensitization data; performing real-time scanning on the multi-modal data based on the multi-modal large model, and identifying and marking sensitive information in the multi-modal data; the sensitive information is fed back and used for dynamically updating the sensitive level label, and the data governance rule and the desensitization strategy are dynamically adjusted according to the feedback information. According to the method, high-standard requirements on agility, accuracy and comprehensiveness of data governance in a complex dynamic environment can be met.

The embodiment of the invention provides a three-dimensional scanning detection method, which is applied to the technical field of three-dimensional scanning, and comprises the following steps: setting at least one reference area on a preset model, and definitely defining a key position which needs to be preferentially concerned by a user and ensures the integrity of scanning data; then, a user is guided to scan based on the set reference area, verification information is generated in real time in the scanning process, and the verification information displays the achievement condition of the accumulation degree of the scanning data in the reference area relative to the saturation threshold value of the scanning data in a visual mode; therefore, a user is directly notified whether the scanning data of each reference area is complete or not, and the user is guided to carry out supplementary scanning on the incomplete area in time. According to the scheme, the verification of the scanning data integrity is advanced from a traditional post detection link to a real-time scanning process, so that a user can actively ensure the scanning integrity of a key area based on visual feedback, and the detection misjudgment and reworking risks caused by missing scanning or incomplete data are fundamentally avoided.

The invention relates to the technical field of slope engineering monitoring, and particularly discloses a slope three-dimensional deformation real-time monitoring method based on multi-laser scanning, which comprises the steps of monitoring system arrangement, reference coordinate system establishment, initial scanning and coordinate recording, real-time scanning and deviation correction, data analysis and early warning and the like. The core contribution of the slope three-dimensional deformation monitoring method is that a stable reference coordinate system with self-correction capability is established, and on the basis, the slope three-dimensional deformation monitoring method with high reliability, full coverage and real-time intelligent early warning is realized through multi-sensor fusion and intelligent data processing. The system mainly solves the problems of large systematic error and low reliability caused by unstable reference in the existing slope monitoring technology, and secondarily solves the technical problems of incomplete data caused by single view angle and weak early warning capability caused by low automation degree.

The invention discloses intelligent miniature shield self-tunneling equipment integrating heat dissipation and real-time scanning imaging and a using method thereof. An intelligent miniature shield self-tunneling device integrating heat dissipation and real-time scanning imaging comprises a drill bit cutterhead, a while-drilling geological radar, a driving motor, a miniature intelligent integrated host, a water injection tank, a mud storage tank, a water and soil conveying pipe, a data transmission cable, a crawler chassis and a tunneling cabin body which are connected in sequence. The while-drilling geological radar, the driving motor and the automatic control machine box are connected with the miniature intelligent integrated host through cables, the front end of the water injection tank is provided with a water injection pipe connected with a fragment passing notch, the rear portion of the water injection tank is connected with a water and soil conveying pipe, the front end of the mud storage tank is provided with a mud conveying pipe connected with an L-shaped fragment passing notch, and the rear portion of the mud storage tank is connected with the water and soil conveying pipe. The device has the advantages that geological changes can be sensed in real time, the state of the cutterhead can be automatically adjusted, the temperature of the device can be effectively controlled through the innovative heat dissipation design, and long-time continuous work in a complex stratum is guaranteed.

The invention provides a mountainous area electric power emergency high-altitude phased array wind load resistance early warning method and system, and relates to the technical field of electric power safety and emergency, and the method comprises the steps: 1, deploying phased array radar early warning equipment at the top of a key tower of a target power transmission line section after severe convection weather emergency response is started; step 2, performing real-time scanning monitoring on a wave beam coverage area at a preset high frequency through phased array radar early warning equipment, and synchronously obtaining wind field distribution data, wire dynamic swing data and multi-dimensional monitoring data of mountain slope geological disaster activities; and step 3, based on the multi-dimensional monitoring data, determining a plane monitoring area by a target tower body structure and a specific device on a wire, and performing equal-proportion division on the plane monitoring area to obtain a plurality of independent monitoring sub-areas. Safe and stable operation of the power transmission line in the mountainous area is guaranteed.

A method and a apparatus for expressing scan data detected by a LiDAR mounted on a moving object as a submap based on a Normal Distribution Transform (NDT) estimate a relative positional change (LiDAR odometry) of the moving object through scan matching using Particle Swarm Optimization (PSO) between the submap and real-time scan data, and determine a covariance of the estimated LiDAR odometry by recognizing the shape of the surrounding environment based on the orientation of normal distributions represented in the NDT-based submap.

According to the CANopen-based remote I / O node dynamic topology identification and adaptive configuration method, key configuration data of equipment is stored in Flash, and power-on automatic loading is supported. A bus is scanned in real time through an RS485 interface, the number, types and topological positions of local newly-added I / O cards are automatically recognized, an object dictionary and a PDO mapping table are dynamically updated based on a recognition result, and hot plugging, dynamic adding and online expansion of the I / O cards are achieved. The object dictionary is provided with 0 * 2000 as an equipment state area and 0 * 2001-0 * 2010 as 16 independent I / O card configuration areas, and a master station can remotely modify and dynamically add parameters of I / O cards through an SDO interface to realize online parameter configuration and hierarchical management; the system expands multiple groups of PDO and combines with a master station synchronization signal, and can adapt to the data flow change after the I / O card is dynamically added. Automatic configuration, SDO online maintenance, dynamic identification and hot plug expansion are supported, the I / O card can be dynamically added without interrupting system operation, and topology expansibility, dynamics and real-time performance of the remote I / O node are improved.

The invention discloses a converter station steel structure dynamic monitoring and tracking inspection method based on artificial intelligence, and belongs to the technical field of steel structure monitoring and tracking. Comprising the following steps of S1, determining a monitoring object and a scene, S2, building an AI-driven'unmanned aerial vehicle + multi-modal sensor 'dynamic scanning system, S3, performing real-time scanning and AI analysis, S4, performing edge calculation and environment adaptive optimization, S5, improving damage identification precision through federated learning, and S6, improving scene universality through digital twinning. The accuracy, efficiency and adaptability of converter station steel structure monitoring are comprehensively improved, safe and stable operation of a converter station is effectively guaranteed, powerful support is provided for intelligent development of the power industry, an AI-driven'unmanned aerial vehicle + multi-mode sensor 'dynamic scanning system is built, low-altitude close-type global scanning of the steel structure is achieved, and the system is suitable for large-scale popularization and application. And the monitoring comprehensiveness and accuracy are greatly improved.

The application discloses an AI agent simulation risk assessment method based on plan constraints and behavior deviation degree measurement. The method calculates the behavior deviation degree (comprehensive step edit distance, tool set difference and parameter semantic change) between the actual execution sequence of the twin AI and the original execution plan during the pre-rehearsal process before the AI agent executes, simultaneously performs real-time scanning of hard rules and verification of business invariants of the final state of the twin environment, and finally outputs a risk level by comprehensively scoring in multiple dimensions. The application fully utilizes the prior information of the execution plan, and realizes fine-grained quantitative risk assessment of the simulation behavior of the AI agent.

The application provides a shield soft-hard stratum interface identification method and system based on slag change characteristics, which comprises the following steps: processing images at a slag outlet to obtain slag shape and volume, and obtaining the properties of hard rock stratum based on the slag shape and volume; performing real-time scanning on shield slag, determining the scanning surface of the surrounding environment through distance measurement values and angle values, forming a shield slag reconstruction model based on laser point cloud scanning, and obtaining the volume of the shield slag based on the shield slag reconstruction model; calculating the hard rock area proportion in the soft-hard interface according to the slag volume and the shield slag volume; obtaining the vibration signal of a shield cutter when the shield cutter enters a hard rock stratum from a soft stratum during the tunneling process of a shield tunneling machine in a composite stratum, and obtaining the change interface position of the soft-hard stratum according to the vibration signal; and drawing a shield excavation surface soft-hard stratum interface sketch based on the hard rock area proportion in the soft-hard interface and the change interface position of the soft-hard stratum, and identifying the shield excavation surface soft-hard stratum interface.

Systems and methods for generating secondary content item that includes a first portion that is a reminder of the original interest and a second portion that is content relevant to the original interest are disclosed. The methods provide primary content for the user's consumption. User interest based on a plurality of factors, such as user's gaze, heartbeat, or facial expression, is determined during the user's consumption of the primary content. One or more objects or frames are identified as primary objects or frames of interest. The methods also scan in real-time, real-life objects that are in the field of view of an augmented reality device. A determination that the real-time object is related to the primary object of interest is made. A determination is also made if any environmental or local adjustments need to be made. A secondary content item with any environmental or local adjustments is generated.

The application provides a ground penetrating radar inversion method based on multi-scale feature fusion, and relates to the technical field of ground penetrating radar inversion, and comprises the following steps: S1, acquiring real-time scanning data of a current monitoring node ground penetrating radar; S2, constructing an encoder through a plurality of cascaded multi-scale hybrid convolution modules, wherein the encoder is used to acquire a multi-scale feature map of the real-time scanning data; S3, processing the multi-scale feature map to obtain a global feature map; S4, fusing the global feature map with features in the encoder through a cross-scale gating feature pyramid to generate a final fused feature map; and S5, outputting a physical property parameter distribution map of an underground medium of the real-time scanning data, so that the automation of ground penetrating radar inversion from data processing to result output is realized, the inversion precision and efficiency are greatly improved, meanwhile, complex manual preprocessing / postprocessing is not needed, and the real-time detection demand of an engineering site is adapted.

The invention relates to the technical field of silo conical shell construction, in particular to a silo wall perpendicularity and elevation detection device and method for silo slip form construction, and the device comprises a reference module which comprises a central reference point and an infrared ground reference point, the central reference point is arranged at the central position of the bottom of a silo and is used for providing a space coordinate origin, and the infrared ground reference point is arranged at the central position of the bottom of the silo; the infrared ground datum point is arranged at the bottom edge of the silo and is used for providing an elevation datum; the three-dimensional data acquisition module is suspended in the central area of the sliding formwork operation platform through the leveling mechanism and is used for scanning and acquiring three-dimensional point cloud data and elevation data of the inner wall of the warehouse wall in real time; the control center is in communication connection with the three-dimensional data acquisition module and the leveling mechanism; and the leveling mechanism adjusts the spatial position of the three-dimensional data acquisition module based on the correction instruction, so that the measurement center of the three-dimensional data acquisition module is centered at the central reference point. And through real-time data acquisition, accurate deviation analysis and automatic position calibration, the construction quality of the silo is ensured.

We provide the system. [Solution] A means for analyzing communication data using an information processing device, A means for automatically identifying suspicious communications based on the analysis results of the aforementioned communication data, A means for automatically isolating or deleting data that has been determined to be suspicious communication, Means for notifying the user of the results of the aforementioned determination and isolation or deletion, The system provides a means for improving the judgment algorithm by learning from the feedback it receives, A means of providing real-time scanning functionality through integration with mobile terminals, A system that includes this.

The invention belongs to the technical field of scrapped new energy automobile recovery processing, and discloses a new energy automobile body disassembling method and system based on data driving. According to the method, geometric structure information is obtained, and meanwhile, material attributes are given to the digital twin model, so that a reliable data basis is provided for all subsequent decisions and execution; a graph neural network is introduced to analyze the digital twinborn model, and a Pareto optimal solution set is generated through rapid non-dominated sorting and congestion distance calculation according to the key connection area and the digital twinborn model; accurately positioning a high-voltage maintenance switch or a high-voltage interlocking loop interface according to a vehicle model database and real-time scanning data, and automatically disconnecting the switch; according to the method, digital twinning is generated from multi-sensor sensing, graph neural network analysis and multi-target optimization decision making are carried out, and modular tool execution and safety verification are carried out, so that the disassembly precision and safety are improved, and refined disassembly is realized to obtain greater economic benefits.

The application discloses an intelligent clamping jaw structure for catenary cantilever installation and a control method. The improved iterative closest point algorithm is used for registration and matching of real-time scanned point cloud data and a preset three-dimensional model of the cantilever. The data frame in the dynamic adjustment optimization window is adopted to perform smoothing processing on the registration result, effectively suppresses the jump problem that may occur in the single-frame registration process in the high-speed movement of the cantilever, and innovatively directly incorporates the inertial measurement unit data into the construction process of the loss function, further improving the accuracy and robustness of the registration. By optimizing the window size, the balance between real-time performance and accuracy requirements is achieved, and the spatial coordinates and attitude angles of the insulators are accurately extracted. The visual data is mapped to the mechanical arm control coordinate system through the coordinate conversion matrix, ensuring the real-time data synchronization of the visual system and the clamping jaw adjusting device. The application is suitable for various types of cantilevers, has high automation and high precision, and effectively improves the installation efficiency.

The application relates to an electrical cabinet monitoring and fire extinguishing device, which comprises an infrared surface temperature sensor, an ultraviolet light sensor, an infrared light sensor, a fire extinguishing device and a controller. The infrared surface temperature sensor is used for real-time scanning of a cabinet internal surface temperature field, and the surface area monitoring replaces a point probe, so that the coverage capacity and early warning accuracy are improved, and the blind area and the missed detection probability are reduced. When the temperature of a certain area exceeds a preset temperature threshold, the controller determines that an abnormality occurs, at this time, the ultraviolet light sensor and the infrared light sensor are used for collecting ultraviolet band spectra and infrared band spectra in the electrical cabinet, the characteristic spectra of a real flame can be recognized, false positives caused by non-fire factors can be avoided, and the accurate identification of the fire is enhanced. When a fire source appears in the electrical cabinet, the controller can complete accurate decision-making without human intervention, and is linked with the automatic fire extinguishing device, so that intervention can be completed in the early stage of the fire, and the accident loss and the diffusion risk are significantly reduced.

The invention discloses an unmanned aerial vehicle spray droplet motion monitoring method and system based on LiDAR dynamic monitoring and a local optical flow algorithm, a storage medium and computer equipment, and the method comprises the following steps: S1, carrying out the real-time scanning of an autonomous sensing unmanned aerial vehicle platform in a spraying operation process, and collecting the continuous dynamic point cloud data of a droplet group; s2, performing semantic segmentation on the original dynamic point cloud by adopting a semantic segmentation neural network to realize automatic separation of fog drop point cloud and static background point cloud; s3, voxelization processing is carried out on the fog drop point cloud obtained through separation, and a three-dimensional fog drop density voxel field is constructed and used for depicting the density distribution of fog drops in the space; and S4, realizing estimation of a fog drop motion vector field by adopting a local optical flow matching algorithm, and obtaining the speed and the motion direction of the fog drop group in the three-dimensional space. According to the method, three-dimensional motion modeling and flow behavior analysis of the dynamic fog drop group can be efficiently realized, and data support is provided for accurate control and parameter optimization in the spraying operation process.

The invention provides an AGV-based intelligent garage control method, device and equipment and a storage medium, and the method comprises the steps: carrying out the real-time scanning of a garage environment through the scanning of an AGV, and obtaining environment map data, and the garage environment comprises a plurality of laser identifiers; obtaining vehicle parameters of a vehicle to be put in storage, and determining a target parking space, a transportation path and a target laser identifier corresponding to the transportation path for transporting the AGV according to the vehicle parameters and the environmental map data; generating a transportation task instruction for transporting the AGV according to the transportation path and the target laser identifier; and according to the transportation task instruction, the transportation AGV is controlled to carry the vehicle to be put in storage to the target parking space.

A scanning environment includes a real-time signal generation for remote detection of the position of a portable X-ray scanning system with reference to a transmission detector. Prior to generating an X-ray scan, the portable X-ray scanning system must be positioned such that X-rays generated by an X-ray source, of the portable X-ray scanning system, strikes all or a portion of the transmission detector. In some cases, the transmission detector panel may be positioned at a distance from the portable X-ray scanning system. The transmission detector may even be out of sight of the X-ray source. For these cases a real-time signal is generated and processed to indicate whether an X-ray beam is striking the transmission detector. If the X-ray beam is not striking the transmission detector, feedback is generated, real-time, indicating a direction in which the X-ray beam should be moved.

The application relates to the technical field of vocational education training systems and methods, in particular to a post training and cultivating system and method based on AR virtual vision, which adopts AR virtual reality, innovatively adopts dynamic environment binding technology, and through real-time scanning of a training scene such as a laboratory or a factory workstation by an RGB-D camera, a 3D environment point cloud map is constructed by adopting a SLAM algorithm, virtual equipment is automatically aligned with a real desktop coordinate system, the virtual equipment can be placed on the real desktop, and is constrained by physical shielding relationship, such as automatically hiding a shielded part when a hand passes through the virtual equipment, compared with traditional AR projection technology, the system is more real, has stronger substitution and training feeling, the training of students is further effective, and the period of adapting to a post is shorter; a multi-modal operation evaluation mechanism is adopted, operation tracks are dynamically compared with standard paths, and a deviation heat map is generated in real time; operation steps are decomposed into three stages of preparation, execution and verification, and are respectively scored, and training scoring is further realized.

The application discloses a control cabinet intelligent reconstruction method based on a standard communication protocol and relates to the technical field of industrial automation, and comprises the following steps: real-time scanning of communication port data of bottom-layer equipment in a control cabinet and loading of mutually independent drive containers based on equipment fingerprint features so as to establish physical connection; construction of a standardized semantic information model based on a mapping relationship between a physical address file and a semantic model; real-time monitoring of characteristic changes of data flow in a data acquisition process, dynamic segmentation of a data transmission channel and diversion of data to a real-time control channel or a telemetry archiving channel. The application can update state attributes based on a semantic model in real time, form an organic whole of perception, decision, execution and verification, effectively solve the problems of protocol closure, semantic loss and low integration efficiency in traditional control cabinet reconstruction and improve the interoperability and intelligent level of an industrial control system.

This invention discloses a system and method for in-situ high-temperature pyrolysis and permeability testing of rocks based on CT scanning, belonging to the field of clean mining technology for underground resources. The testing system includes a high-precision pressure loading mechanism, an electromagnetic heating and temperature control mechanism, and a permeability testing mechanism. The high-precision pressure loading mechanism forms an upper and lower clamp for the specimen, without affecting the CT scanning path. The permeability testing mechanism includes a movable confining wall, which can continue high-temperature in-situ permeability testing after the real-time CT scan is completed. This invention can simultaneously realize four functions: in-situ stress simulation, high-temperature pyrolysis, real-time CT scanning, and permeability testing. It can complete multi-parameter testing without transferring the specimen, avoiding data deviations caused by structural changes during specimen transfer.

1. The name of the design product: laser port scanner. 2. The use of the design product: for real-time scanning of material parameters. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

Embodiments of the present application disclose a three-dimensional scanning method, system, device and medium. The method comprises: obtaining a computer-aided model of a scanning object, wherein the computer-aided model comprises a plurality of segmentation regions, and each segmentation region defines a corresponding scanning resolution; obtaining real-time scanning data comprising the scanning object captured by a scanning device; registering the real-time scanning data with the computer-aided model to determine one or more target segmentation regions corresponding to the real-time scanning data from the plurality of segmentation regions; and generating at least a partial mesh of the scanning object based on the real-time scanning data, wherein a mesh resolution of the at least a partial mesh is determined by one or more scanning resolutions of the one or more target segmentation regions. The method of the embodiments of the present application can improve scanning efficiency while ensuring the quality of the reconstructed mesh model.

The invention discloses a recognition and driving system for preventing biological invasion and a control method, and the system comprises a dynamic risk field modeling module which is used for carrying out the real-time scanning of the spatial information of a monitoring site; the YOLO-GAN collaborative recognition module is used for recognizing and positioning a target, extracting target features and generating a dynamic track; the environment coupling control engine is used for collecting environment parameters of the monitoring site in real time; the driving device is used for driving according to the control instruction; and an edge intelligent decision-making unit. The laser radar is arranged for space partitioning and real-time scanning and monitoring, suspicious organisms can be recognized more accurately through YOLO-GAN collaborative biological recognition, meteorological self-adaption can be achieved through the environment coupling electromagnetic field, normal operation can be achieved even in an extreme environment, a multi-stage response strategy is formed in cooperation with the upper driving device, and the driving device can be used for driving a driving device to drive the driving device to drive the driving device to drive the driving device to drive the driving device to drive the driving device to drive the driving device to drive the driving device. And the transformer substation protection system which is low in cost, low in complexity and eco-friendly is formed.