1425 results about "Scanner" patented technology

XCB poly-radio devices as finders, locators, scanners, sensors, and Bluetooth (BT) radio topology reporters as part of a global lost-and-found services system. XCB devices function as “smart objects” and combine dual transceivers operating in the telecommunications and the low power ISM radio spectra, with default power management overrides under local control of the BT modem. “Familiar zones” are defined, and a “familiarity index” versus a “strangeness index” based on meta-analysis of BT radio contact logs are used to assign location. Location, in concert with other sensor data, is coupled to conditional logic rules programmable by the user or the system administrator. Locations, determined by monitoring familiar and unfamiliar BT radio topology, trigger executable commands to smartphones, to smart devices generally, and to remote machines, and can for example, generate alerts to a user if radiotagged assets, children or pets have strayed, are lost, or are left behind. When tied to cloud predictive services or increased edge computing capacity, incipient loss of radiotag objects can be detected before an owner knows the smart object is lost. In another embodiment, XCB devices having a novel chip architecture for improved power management of cellular and MCU circuits mediated by BT radio modem that achieves “situational awareness” by monitoring the BT signal environment around the device.

The invention discloses a tunnel deep-buried drainage ditch rapid blasting excavation method based on vertical drilling, which comprises the following steps: step 1, detecting the geology in front of a tunnel by using vertical drilling coring, geological radar and TSP seismic wave technology, and constructing a three-dimensional model; 2, generating an asymmetric hole net layout based on a geological model and AI, and setting a drilling-free vibration isolation belt; the design of dense inside and sparse outside is adopted, and vibration propagation is blocked; thirdly, a three-stage air spacer is arranged at the bottom of the blast hole, segmented charging is implemented, the explosive energy release time is prolonged, and the single-segment explosive quantity peak value is reduced; fourthly, an electronic detonator is adopted for millisecond detonation, and peak vibration is weakened through the waveform superposition offset effect; 5, arranging fiber grating sensors in the tunnel, collecting data in real time and transmitting the data to the cloud AI platform; dynamically adjusting parameters based on the monitoring data; and 6, evaluating a blasting effect through a three-dimensional laser scanner, generating an evaluation report in combination with data, updating a BIM model database, and continuously optimizing an AI algorithm.

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention provides an attack fault tree security risk assessment system based on deep reinforcement learning, and relates to the technical field of information security. The system specifically comprises a network asset data fingerprint scanner module, a deep reinforcement learning network model generation and training module and an automatic penetration test tool set module. The invention aims to determine the optimal attack path from the system attack graph by using deep reinforcement learning. By combining the screened attack paths with various resources and time costs encountered in the actual penetration test, the failure rates of various security risks in the attack fault tree, the success probabilities of various attacks and other indexes can be determined. And finally, establishing an attack fault tree of a power system scene in the embodiment, comparing the attack lethality and the detection capability level of each attack path in a game phase, and qualitatively and quantitatively analyzing the final security capability level of the target system and the damage degree caused by attacks.

The invention discloses a nondestructive testing method for a welding seam of a steel structure. The method comprises the steps that firstly, morphology data of the surface of a building steel structure are obtained through a high-precision laser scanner and an electromagnetic induction technology; coating thickness distribution and weld surface roughness are analyzed based on the morphology data, and a surface information matrix is constructed; then automatically adjusting ultrasonic wave beam parameters of the ultrasonic phased array by using the adaptive parameter regulation and control model and executing detection to obtain a preliminary ultrasonic echo signal; the time-frequency domain difference between the preliminary echo and the reference signal is calculated through an echo signal compensation model, and secondary compensation is completed to obtain an optimized ultrasonic echo signal; fusing the optimized echo signal, the morphology data and the surface information matrix to construct a detection data set, and adopting a pre-trained steel structure detection model to realize defect detection; and finally, evaluating the confidence of a detection result by adopting a three-dimensional confidence evaluation model, performing grading, and performing local re-detection and parameter adjustment on a low-confidence region to form closed-loop optimization. According to the method, the surface state of the steel structure can be adaptively matched, the accuracy of echo signals and the defect detection precision are improved, and the detection reliability is guaranteed through three-dimensional confidence evaluation.

The invention belongs to the technical field of atmospheric environment monitoring, and particularly relates to an unmanned aerial vehicle laser radar calibration quality control system and method, and the system comprises an unmanned aerial vehicle flight platform, a laser radar module, a navigation positioning module, a control communication module, a data processing module and a ground station. The unmanned aerial vehicle flying platform comprises a shockproof holder and a protective pod; the laser radar module comprises a laser radar, a scanner module and a photoelectric detector module. According to the invention, one unmanned aerial vehicle is adopted to carry various different types of laser radars, the extinction coefficient is measured by combining optical beam splitting, signal processing and algorithm inversion technologies, and atmospheric particulate classification is effectively monitored through cooperation of a high-precision optical system and an algorithm; the extinction coefficient and the depolarization ratio work cooperatively, high-precision quantitative analysis and classification of pollutants can be achieved, the combined measurement function of the extinction coefficient and the depolarization ratio is achieved, and high-resolution three-dimensional monitoring of atmospheric particulates is achieved through multi-parameter cooperative inversion of the laser radar.

A system for surface analysis of a cable layer. The system comprises an in-line surface scanner arrangement and a controller. The in-line surface scanner arrangement is for scanning a cable layer in or received from a cable manufacturing line, the scanner arrangement comprising one or more non-contact distance scanners arranged to measure distance to an outer surface of the received cable layer. The controller is arranged to receive scan data of the outer surface of the received cable layer based on signals received from the in-line surface scanner arrangement; extract surface texture data from the scan data; determine one or more properties of the surface of the cable layer based on the surface texture data; compare at least one determined property with one or more threshold criteria; and identify at least one of a surface feature of interest, a deviation, or a defect based on the comparison.

The invention discloses a deflection non-contact detection method applied to a grid structure circular steel pipe rod piece, and relates to the technical field of steel pipe rod frames. The method comprises the steps that grid structure point cloud data are acquired through a laser scanner, and high-density voxels are obtained through voxel division and density analysis screening; performing spherical fitting on the high-density voxels, and extracting spatial spherical anchor points according to a spherical fitting difference value; constructing a grid space candidate connection matrix based on the spatial spherical anchor points, screening to obtain a linear point cloud paragraph, and fitting the axis of the rod piece through a least square method based on an RANSAC (Random Sample Consensus) algorithm; a connecting line of the spatial spherical anchor points serves as a theoretical axis of the rod piece, and a deflection degree value and a deflection offset vector are calculated through offset analysis with the fitting axis; when the deflection degree value exceeds a preset threshold value, marking an abnormal rod piece, and constructing a net rack local sub-graph by taking the abnormal rod piece as a center; and calculating a deflection direction consistency index and a deflection degree consistency index in the subgraph, calculating a local risk comprehensive index by combining the two indexes, and dividing risk grades.

The invention discloses a tunnel point cloud high-precision splicing method based on rotation and translation constraint, and belongs to the technical field of engineering measurement and three-dimensional laser scanning. The method comprises the following steps: a data acquisition stage: acquiring absolute coordinates and relative point cloud data of each station through collaborative operation of a total station and a frame station scanner, and completing scanning of a target tunnel section; a point cloud data preliminary transformation stage: performing translation transformation on relative point cloud data of each station by using absolute coordinates of a rack station scanner, and preliminarily transforming the relative point cloud data into a global coordinate system; a two-stage registration stage based on rotation translation constraint: carrying out two-stage registration on the relative point cloud data of the adjacent sites after preliminary transformation; and a global point cloud model generation stage: unifying the relative point cloud data of all sites to a tunnel construction global coordinate system through two-stage registration, and generating a complete tunnel three-dimensional point cloud model. According to the invention, through rotation translation constraint and a two-stage registration strategy, the millimeter-level splicing precision is ensured, and the cost and the operation difficulty are reduced at the same time.

The invention discloses a shield tunnel segment behind-wall accurate detection and grouting trolley and a construction method thereof.The shield tunnel segment behind-wall accurate detection and grouting trolley comprises an electric car, a track is laid in a shield tunnel, the electric car walks on the track, an annular guide rail is installed at one end of the electric car, and the annular guide rail and a shield tunnel segment are coaxially arranged; the electric moving seat is arranged on the annular guide rail in a sliding manner; the geological radar detector is mounted on the electric moving seat in a position-adjustable manner; the laser scanner is mounted on the electric moving seat; the mechanical arm is installed at the other end of the electric car, a grouting pipe is installed on the mechanical arm, and the grouting pipe is connected with a grouting pump; and the controller is connected to the electric moving seat, the geological radar detector, the laser scanner, the mechanical arm and the grouting pump. According to the method, the problem that application limitation exists in an existing shield tunnel synchronous grouting quality evaluation means is solved.

As an example, an asset receives a request from a scanner performing a reconnaissance of a network that includes the asset. The asset sends a response acknowledging receiving the request, indicating that the asset is alive. The asset receives port scan requests associated with ports of the asset. The asset creates fake fingerprints that include incorrect information about ports of the asset. The asset sends the fake fingerprints to the scanner in response to the port scan requests. The asset determines that a scan engine is requesting access to the asset via a particular port of the asset. The asset grants the scan engine access to the asset via the particular port to enable the scan engine to gather asset data associated with the asset for analysis.

An electromechanical Smart Lock is unlocked by the Smart Lock timely receiving a time sensitive access-code that solves a cryptographic hash algorithm (e.g., SHA-3 or the like) running on that Smart Lock. To enable this functionality, the Smart Lock knows at least three items of information: status of a countdown timer, its cryptographic hash algorithm, and its unique identifier. Further, the Smart Lock may have various elements for receiving the time sensitive access-code, such as, but not limited to, a QR code camera, a barcode scanner, a camera, a microphone, a keypad, and / or optionally, an antenna(s) / radio(s) for RFID / NFC inputs to the Smart Lock. Server(s) may also know the same three items of information for each given Smart Lock; and the Server(s) may provide time sensitive access-codes to (authorized) user(s) and / or to their devices. Users may request, receive, and / or send the time sensitive access-codes via text messaging (or other elements).

The invention discloses a multi-field joint detection method for force transfer path change of a deep flexural member, relates to the technical field, and aims to solve the problems that the local bearing capacity of a structure is reduced and the uncertainty of a force transfer path is increased. Collecting crack width and concrete peeling thickness and area, calculating a cross section loss coefficient, determining pressure rod bearing width by combining the crack width, analyzing a crack density index after screening a target position, and judging whether a path migration signal is generated or not. After a signal is generated, acquiring strain data by using a fiber grating sensor, analyzing the characteristics of a force transmission path, detecting vibration acceleration, fusing the strain data and the vibration acceleration to evaluate a path reconstruction index, and judging whether the force transmission path is changed or not. The method effectively improves the monitoring precision and response speed of the deep flexural member, avoids potential faults, and guarantees the structural safety.

A refrigerator appliance is provided, including a dispenser assembly positioned at a door and having a recess extending into the door. A scanner assembly includes a scanner device and a targeting device positioned at an angle toward the recess and behind the external wall. A controller is communicatively coupled to the scanner device and the targeting device. The controller is configured to execute instructions that causes the refrigerator appliance to perform operations. The operations include commanding, at the scanner assembly, measuring fidelity of scan data reflected from the object at the recess; and commanding, at a lighting component or the targeting device at the scanner assembly, provision of light toward or from the recess after a pre-determined period of commanding measurement of the amount and pattern of light at the scanner device.

The invention discloses a large-area concrete pouring vibrating and leveling device and a using method, and belongs to the field of concrete pouring construction. Comprising a walking and stabilizing system, accurate positioning is achieved through four-wheel independent driving, and a hydraulic supporting column and a sliding rail weight box cooperate to dynamically balance overturning moment; the multi-degree-of-freedom telescopic arm system drives an end effector to perform three-dimensional positioning through a multi-stage hydraulic telescopic sleeve and covers a large-area operation area; the intelligent vibrating-leveling execution system and the modularized vibrating system are adopted, eight groups of high-frequency vibrating rods are carried on a main / expansion plate, an ultrasonic sensor is embedded in a rod body protection cylinder to generate a compactness cloud picture in real time, and a hose is driven to integrate a strain sensor to invert the slump; the self-adaptive leveling system and the laser grid scanner construct a three-dimensional elevation model, and the hydraulic elevation regulator realizes + / -0.1 degree grade gradient control. According to the method, traditional layering limitation is broken through, efficiency is improved, porosity and flatness errors are reduced, and manual safety risks are thoroughly eliminated.

The invention provides a three-dimensional laser point cloud-based tower foundation root distance, half root distance and relative height difference measurement method. The method can be used for detecting foundation slippage and settlement of a tower caused by geological disasters such as landslide, goaf collapse, flood scouring and slope collapse. According to the method, a three-dimensional laser scanner is adopted to carry out multi-angle scanning detection on a power transmission tower, filtering is carried out after power transmission line equipment point cloud is obtained through calculation, and discrete points and noisy points are removed; and orienting and rotating the tower point cloud by adopting a PCA algorithm, and converting a point cloud coordinate system into a line orientation coordinate system. After tower point cloud and basic point cloud are extracted respectively, a basic center point and a top surface elevation are extracted from the basic point cloud, and a whole tower center point is extracted from the tower point cloud. And finally, aiming at the equal-height foundation and the unequal-height foundation, respectively calculating the root distance, the half root distance and the relative height difference of the tower foundation. The method has the advantages of being high in measurement precision, convenient to operate and the like, and is suitable for parameter measurement of equal-height foundations and unequal-height foundations before and after pole tower assembling.

The invention discloses a large-diameter super-long permanent steel casing sinking positioning system and a construction method thereof. The large-diameter super-long permanent steel casing sinking positioning system comprises an adjustable lifting guide frame, an inner wall supporting component and a positioning monitoring and dynamic closed-loop deviation rectifying system. The guide frame is a double-layer guide frame with adjustable height so as to meet the sinking of steel casings with different lengths; transverse support members are arranged on the inner wall of the steel casing at equal intervals to prevent water pressure difference between the inside and outside of the steel casing at the deepwater position or local deformation under the action of impact load; the monitoring and dynamic closed-loop correction system comprises a total station scanner and a double-shaft inclinometer, the plane position and perpendicularity of the steel casing are fed back in real time, the steel casing is fixed through an automatic position adjusting jack and a V-shaped pressing block, the plane position and perpendicularity of the steel casing are dynamically corrected in real time, and it is ensured that the top face of the casing meets the construction standard. According to the positioning system and the construction method thereof, the technical problems of poor adaptability, low positioning precision, delayed deviation correction response and the like in the sinking process of a large-diameter super-long steel casing in a complex stratum in a deepwater area can be solved.

Apparatuses, systems, and techniques to detect potential security risks using application program interface (API) scanners. In at least one embodiment, software is scanned to identify one or more APIs of different categories and the position of the APIs and associated code in an executable file may be altered to reduce one or more potential risks.

The invention relates to a three-dimensional point cloud reconstruction method and device using a single-line laser radar and an inertial measurement unit (IMU). According to the method, a stepping motor drives a single-line laser radar to periodically pitch and swing, and the scanning dimension of the single-line laser radar is expanded to a three-dimensional space; the method comprises the following steps: synchronously acquiring point cloud data and IMU (Inertial Measurement Unit) data of a laser radar, performing intra-frame motion distortion compensation on each frame of point cloud data by using the IMU data, and eliminating distortion generated by carrier motion; projecting the compensated three-dimensional point cloud data to a two-dimensional aerial view (BEV) plane to generate a two-dimensional point set, optimizing and solving inter-frame two-dimensional rigid body transformation by adopting an iterative closest point (ICP) algorithm based on the BEV point set of adjacent frames, then lifting the inter-frame two-dimensional rigid body transformation into three-dimensional transformation, and updating the global three-dimensional pose of a carrier; according to the method, low-cost and high-precision three-dimensional point cloud reconstruction is realized, the hardware cost is reduced, the operation efficiency is improved, and the method is suitable for various devices such as a mobile robot, a sweeper and a simple scanner.

The invention relates to the technical field of torque sampling inspection, in particular to an intelligent mechanical torsion control method and system. Comprising the following steps: dynamically binding a plurality of intelligent wrenches to a specified station through a system server, namely distributing an independent IP and a communication port for each wrench, and establishing a three-dimensional mapping relationship among an operator account, a station number and a wrench serial number; constructing a dynamic torque calibration model based on the environmental parameters and the equipment state, and correcting the original measurement value of the wrench in real time; uploading a tracking card number to a server through a station code scanning gun, and establishing a binding relationship between the tracking card number and a station number; the intelligent wrench uploads real-time tightening data through a multi-path redundancy transmission mechanism, and the server associates and stores the data with the station number and the tracking card number; and dynamically distributing a process program sequence according to the historical efficiency of the station, and issuing the process program sequence to the wrench for execution through the handheld controller. The scheme provides a novel torsion management and control system with dynamic resource scheduling, total element data connection and intelligent process adaptation.

A refrigerator appliance is provided, including a dispenser assembly positioned at a door at a cabinet. The dispenser assembly includes a recess extending into the door. The dispenser assembly is configured to egress a fluid, ice, or both, toward the recess. A scanner assembly includes a scanner device and a targeting device. The scanner assembly is positioned at a casing disposing the scanner device and the targeting device at an angle toward the recess. The scanner assembly is positioned at the angle toward the recess and behind the external wall. A sound emitting device is positioned outside of the casing at which the scanner assembly is positioned. The sound emitting device is configured to selectively emit sounds based on a command signal from the scanner assembly. The sound emitting device is communicatively coupled to the scanner assembly.

The invention provides an intelligent warehousing equipment state information acquisition method and system, and relates to the technical field of intelligent warehousing, and the intelligent warehousing equipment state information acquisition method comprises the steps: obtaining the initial state data, collected by a multi-mode sensor group, of intelligent warehousing equipment, the multi-mode sensor group at least comprises a laser scanner, an ultra-wideband positioning base station and an equipment vibration sensor; performing dynamic estimation on the initial state data to obtain a prediction track of the intelligent storage equipment; generating a scanning path of the laser scanner according to the predicted track; and scanning the intelligent storage equipment based on the scanning path to obtain state information of the intelligent storage equipment. According to the intelligent storage equipment state information acquisition method and system, the technical problems of high equipment state updating delay and low acquisition efficiency caused by polling acquisition and PLC dependence in related technologies are solved.

The invention discloses a handheld laser radar scanner and an application method of the handheld laser radar scanner in rural house surveying and mapping, and aims to solve the problems of low efficiency, poor precision and insufficient environmental adaptability of traditional surveying and mapping. The equipment integrates a multi-line laser radar, an inertial navigation system (INS), a multispectral imaging unit and an edge calculation module, and realizes three-dimensional reconstruction through a dynamic scanning strategy and an intelligent point cloud fusion algorithm. The core innovation comprises: 1, a multi-modal data fusion technology: laser point cloud and a multi-spectral image cooperate to identify physical characteristics of rural house building materials (such as rammed earth and wood); the narrow space is optimally designed, the size of the device is smaller than or equal to 15 cm * 8 cm * 5 cm, one-hand operation is supported, and indoor collision is avoided through a built-in anti-collision sensor; and 3, a farm house special algorithm library which comprises a roof inclination angle calculation module, a crack detection module and a structure safety evaluation module. Actual measurement shows that the equipment can still realize + / -2cm absolute precision in a GNSS signal-free environment, the surveying and mapping of 200m < 2 > rural houses can be completed in only 20 minutes through one-time operation, and the efficiency is improved by 5 times compared with that of a traditional total station.

The invention discloses a rapid modeling method based on topological mapping, and the method comprises the following steps: setting a plurality of measurement sites at an equipment site, and collecting the geometric position information and point cloud data of equipment through a three-dimensional laser scanner; preprocessing the collected point cloud data, including noise point removal, point cloud segmentation, equipment point cloud clustering and data simplification; based on the point cloud data, the topological relation of the devices is automatically identified, and a topological relation graph between the devices is generated; mapping the topological relation graph into a three-dimensional digital model of the equipment, and automatically generating a three-dimensional model of the equipment by using template matching and component matching technologies; and according to the identified topological relation graph, integrating the equipment model and the connection relation thereof to form a complete digital model of the transformer substation or the equipment system. Through automatic processing of point cloud data, intelligent identification of a topological relation and a component matching technology, limitation of traditional modeling is broken through, and rapid, accurate and automatic equipment modeling is achieved.

The invention provides an anti-swing closed-loop control method and system for a grab bucket, and relates to the technical field of grab bucket remote control. According to the method, the swing angle, real-time space coordinates and swing posture data of the grab bucket, the operation speed of a portal crane hoisting mechanism, the angular speed of a swing mechanism, the material grabbing weight and the operation parameters of a luffing mechanism are collected; the method comprises the following steps: dividing stages according to an operation process and removing invalid data to obtain a grab bucket anti-swing evaluation data set; converting coordinates based on scanner data to obtain a collaborative data set, and associating the evaluation data set to obtain grab bucket comprehensive motion data; a multi-body three-dimensional model is established in combination with a slice analysis extraction rule, and mechanical analysis is carried out to obtain swing parameters; and the speed compensation amount is calculated to obtain a control signal, the grab bucket is inhibited from swinging in the preset swinging period, swinging of the grab bucket can be effectively inhibited, and the precision and stability of automatic operation of the portal crane are guaranteed.

The invention provides a three-dimensional scanning system and method, a storage medium and electronic equipment, and belongs to the field of three-dimensional scanning, and the system comprises a projector which is used for carrying out pattern projection on a scanned object; the scanner is used for scanning a scanned object to obtain initial three-dimensional data under a scanner coordinate system, and the initial three-dimensional data comprises first three-dimensional coordinates corresponding to pattern projection points on the surface of the scanned object; the tracker is used for carrying out image acquisition on the scanned object and determining a second three-dimensional coordinate corresponding to a pattern projection point based on the acquired object image; and the processing end is used for determining a coordinate transformation matrix from the scanner coordinate system to the tracker coordinate system according to the first three-dimensional coordinate and the second three-dimensional coordinate. By applying the system, the coordinate conversion matrix from the scanner coordinate system to the tracker coordinate system can be directly established, so that three-dimensional data conversion is completed, and the accuracy of three-dimensional data conversion can be improved.

The system and techniques disclosed herein perform advanced and automatic age verification. The age verification system (AVS) is designed for automated and accurate age-restricted access control and age verification for the sale of age-controlled products. For example, the AVS can be employed to perform age-verification to permit the legal sale / purchase of age-controlled products such as alcohol, tobacco, cannabis, and the like, and Also, the AVS can be used to control legal access to age-restricted areas such as casinos, movie theaters, bars, and the like. The AVS can include a scanner for scanning a barcode printed on an identification (ID) card, an application, and a computer unit having output devices for generating visual, audible, and electronic signals to view, alert, and control age-restricted entry and control the sale of age-controlled products. The AVS can include automatic door lock functionality that supports age-restricted access control.