200 results about "Dynamic Scan" patented technology

The invention discloses an end-side cloud collaborative intelligent fire-fighting fire monitoring system based on image fusion, and relates to the technical field of intelligent fire-fighting, the system is composed of a plurality of functional modules, and the system comprises a multi-modal image fusion module which generates a dynamic scanning priority map based on prior data, distinguishes a natural heat source from an abnormal fire by using a dual-light fusion algorithm, and sends an image fusion result to a cloud server; a scanning area is divided according to the thermal risk grade, and the thermal imaging resolution is dynamically adjusted; the distributed edge computing module is used for carrying out space-time synchronization on cross-modal data through a multi-modal feature alignment network, and carrying out dynamic allocation on a CUDA core and CPU resources through adaptive computing scheduling; an improved artificial bee colony algorithm is adopted, the bandwidth of the multi-sensor data flow is dynamically allocated through a time-sharing multiplexing protocol, and three-dimensional path planning is carried out; and the end-side cloud collaborative decision module constructs a federated learning driven model sharing network, and each edge node trains a lightweight YOLOv5s pruning model based on local data.

The invention discloses an intelligent defect detection system and a self-repairing method for a flexible base material RFID tag, and belongs to the technical field of Internet of Things electronic device manufacturing. According to the system, a three-dimensional dynamic scanning system is constructed by integrating a high-resolution image acquisition module, a multispectral sensor array and a mechanical arm motion platform, and surface and internal structure characteristics of a flexible substrate are captured in real time. A defect identification algorithm based on deep learning is combined with a multi-scale convolutional neural network and a transfer learning technology, precise classification of 12 types of defects such as microcracks, conductive layer fractures and base material deformation is realized, and the detection precision reaches 99.2%. A dual-mode self-repairing mechanism is put forward, specifically, nano-silver conductive colloid is injected through a microfluid channel for the defects of the conductive layer, and 3D structure reconstruction is achieved through a controllable temperature field; for substrate damage, a photoresponse shape memory polymer patch is adopted, and molecular-level bonding repair is achieved after ultraviolet light activation. According to the scheme, the detection efficiency is improved by more than 5 times, and the radio frequency performance of the tag is recovered to 98.7% of the initial value after self-repairing.

The invention relates to the technical field of semiconductor manufacturing, in particular to a semiconductor defect detection method and system based on deep learning. The method comprises the following steps: step 1, multiband cooperative imaging and dynamic scanning control; 2, performing multi-scale feature fusion and defect identification; 3, dynamic threshold judgment and multi-scale feature fusion network optimization: dynamically adjusting a judgment threshold according to probability distribution characteristics of a current batch defect thermodynamic diagram, applying an offset to the threshold in combination with a wafer process type, and determining the offset according to a balance relationship between a false drop rate and an omission rate in historical data; critical samples and misjudgment samples with classification confidence close to a threshold value in historical detection are periodically screened, incremental learning is performed on the last layer of the multi-scale feature fusion network, and upstream network weight is frozen to prevent feature drift. Through fine image processing, multi-band information fusion, dynamic threshold adjustment, incremental learning and other mechanisms, the defect detection efficiency and accuracy in the semiconductor manufacturing process can be effectively improved, and the detection performance is continuously optimized.

The invention belongs to the technical field of machine vision and precision measurement, and particularly discloses a non-contact part arc parameter high-precision measurement method and system, and the method comprises the following steps: S1, constructing a three-dimensional measurement mobile platform; s2, establishing a dynamic scanning reference; s3, performing spatial pose optimization based on the three-dimensional morphology characteristic parameters of the part, and driving a moving guide rail to dynamically scan the surface of the part to obtain a three-dimensional point cloud image of the part; s4, cutting and screening the point cloud image to obtain an arc region point cloud image; s5, preprocessing the point cloud image of the arc region; s6, carrying out dimension reduction processing; s7, outputting a circle center position vector and a radius calibration value to determine a corresponding circle center coordinate and a radius parameter; s8, constructing a radial deviation evaluation function; and S9, judging that the measured part meets the standard. The non-contact part arc parameter high-precision measurement method and the non-contact part arc parameter high-precision measurement system have the advantages of high precision, high efficiency, automation and the like, and are suitable for arc parameter detection of complex curved surface parts.

The invention discloses an AI-based localized environment application offline deployment method and device and a medium. The method comprises the steps that a localized environment is pre-detected based on probe service, a system layer configuration list is generated, heterogeneous features are extracted through a dual-channel deep learning model based on the system layer configuration list, and adaptive priority labels of the heterogeneous features are generated; the method comprises the following steps: analyzing an application program through static analysis and dynamic scanning technologies, constructing a dependency list, and constructing a version compatibility atlas based on metadata of a domestic operating system warehouse; generating a minimum-cost replacement path by using a graph attention network, performing hash check on each dependency packet, and generating an incremental update packet through a differential packaging algorithm; the resource occupation condition of the system is monitored in real time through a reinforcement learning model so as to dynamically optimize a deployment sequence and a resource allocation strategy, a deployment log is analyzed based on a natural language processing model, an error type is recognized, a repair operation is triggered, and application offline deployment is achieved.

The invention relates to the technical field of metal structure detection, in particular to an intelligent special-shaped aluminum plate structure parameter detection method and system based on spectral analysis, and solves the problems of multi-parameter splitting, poor complex structure adaptability and inaccurate risk assessment in traditional detection. According to the method, data are synchronously collected through multi-spectral imaging and line laser scanning, surface component parameters such as the thickness gradient of an oxide film are inverted, the local curvature is calculated based on three-dimensional point cloud, a spiral encryption or grid sparse scanning track is dynamically switched, differential detection of a complex structure and a plane area is achieved, and the detection precision is improved. And then a space correlation model of the oxidation film thickness and the hole deformation quantity is constructed, a structure failure risk area is accurately recognized by combining a three-level risk judgment rule and cross-regional influence analysis, and the system effectively improves the accuracy and detection efficiency of defect recognition of the special-shaped aluminum plate through cooperation of dynamic scanning control, component deformation correlation and a composite structure decision unit.

The invention relates to the technical field of laser detection equipment, and discloses an edge contour laser detector with a rotary table, the edge contour laser detector comprises a lathe bed, a detection clamp, the rotary table and a laser detection head, the detection clamp is installed at the power output end of the rotary table, and a driving part of the rotary table is located in the lathe bed and is provided with a driving unit for driving the driving part to drive the detection clamp to rotate; the laser detection head and the rotary table are both connected to a control unit, and the control unit is configured to control the driving unit to drive the rotary table to rotate by a corresponding angle according to a set detection path and control the laser detection head to perform static or dynamic scanning on a to-be-detected part of a workpiece clamped by the detection clamp so as to measure edge contour data of the workpiece; and the workpiece edge contour data is sent to the data processing unit for processing to obtain a measurement error, and the measurement error is sent to the display terminal. According to the invention, the detection clamp is provided with the rotary table, and the laser measurement technology is integrated, so that the high-precision, high-efficiency and omnibearing measurement of the blade edge can be realized.

The invention discloses a wind turbine generator intelligent control system and method based on rotation laser radar and artificial intelligence fusion. The wind turbine generator intelligent control system comprises a dynamic scanning monitoring module which can carry out three-dimensional point cloud data collection on the azimuth angle range of 0-300 m and + / -90 degrees in front of a generator; the space-time feature processing module comprises a voxel grid denoising unit, a coordinate conversion unit and a space-time convolutional neural network ST-CNN; and a hybrid optimization control module. A variable-speed rotating multi-line laser radar is adopted, a dynamic scanning strategy is combined, and accurate monitoring of a large-range three-dimensional wind field in front of a unit is achieved. A space-time convolutional neural network ST-CNN is constructed, spatial features and time sequence information are creatively fused, and future wind conditions are accurately predicted. A hybrid control algorithm combining model predictive control MPC and deep reinforcement learning DRL is proposed, and control parameters are dynamically generated by taking power generation efficiency and unit load as optimization targets. From hardware deployment to software configuration, a complete and highly integrated intelligent control system is formed.

The invention is suitable for the field of image processing, and discloses a multi-source point cloud data fusion method, terminal equipment and a storage medium. The multi-source point cloud data fusion method comprises the following steps: acquiring target data synchronously acquired by a plurality of three-dimensional scanning devices, wherein the target data comprises a plurality of point cloud data and a plurality of texture images; performing multi-source point cloud fusion on the plurality of point cloud data to obtain a three-dimensional grid model, and associating the three-dimensional grid model with the plurality of texture images; and performing texture mapping on the three-dimensional grid model according to the plurality of texture images to obtain a three-dimensional texture map. According to the method, the flexibility and fusion precision of dynamic scanning are improved, and the defect that a traditional fixed array is difficult to adapt to layout changes is overcome.

The invention discloses a weld joint three-dimensional structure detection device based on vortex laser, and relates to the field of laser welding, and the weld joint three-dimensional structure detection device comprises a vortex laser generation system used for generating and emitting vortex laser; the image acquisition unit is used for collecting returned laser data projected to the welding seam and carrying out dynamic scanning and data acquisition; the motion control and feedback system is used for adjusting the relative position of the laser welding head and the workpiece in real time and dynamically adjusting parameters such as welding power and scanning speed according to the collected data result; and the data processing and analyzing platform is used for carrying out image processing and feature extraction on the collected multi-dimensional data and modeling the morphology of the welding sample. The vortex laser serves as a light source for welding seam detection, high-precision, high-depth, multi-parameter and strong-interference-resistance three-dimensional welding seam modeling is achieved, the problems that in the long and thick plate welding process, welding seam detection parameters are few, precision is low, and real-time adjustment cannot be achieved are solved, and meanwhile the device has the performance characteristics of being high in detection precision, high in efficiency and comprehensive in structural parameter.

The invention relates to the technical field of power equipment state monitoring, in particular to an online monitoring method for partial discharge of a high-voltage switch cabinet, and aims to solve the problem of insufficient early warning accuracy due to the fact that most life prediction methods in the prior art are based on a single physical quantity and cannot fully consider the synergistic effect of multi-modal signals. The multi-source signal collaborative analysis is realized through the space-time fusion signal processing and transfer learning model, the dynamic scanning strategy and the multi-scale degradation evaluation are combined, the problems of poor real-time performance and incomplete coverage of the traditional monitoring method are effectively solved, and the method has the advantages of improving the monitoring precision, shortening the model training period and realizing dynamic early warning. The multi-scale signal processing can capture high-frequency discharge details and low-frequency degradation trend at the same time, the dynamic threshold setting enhances the adaptability of signals with different intensities, and the weighted fusion strategy effectively integrates multi-dimensional features, so that the state change of equipment is comprehensively reflected, and a reliable basis is provided for early fault early warning.

The invention relates to the technical field of tower crane control, and provides an aerial high-risk area identification and hoisting path reconstruction method and system. The method comprises the following steps of: respectively mounting two rotary radars on a rotatable bracket of the tower crane to form a radar sensing module comprising a double-radar module; dynamically scanning the potential risk area in the construction scene through a radar sensing module to obtain real-time position information of the potential risk area; receiving the real-time position information through a processing module, and converting the real-time position information into real-time three-dimensional coordinate data in a motion coordinate system of the hoisting equipment by adopting a three-dimensional coordinate conversion algorithm; constructing a three-dimensional model of the potential risk area based on the real-time three-dimensional coordinate data; and identifying the three-dimensional model to determine a high-risk area, adopting an improved fast exploration random tree algorithm as a path obstacle avoidance algorithm, combining the three-dimensional model to dynamically reconstruct an initial hoisting path set by a user, and generating an optimal risk-avoiding hoisting track avoiding the high-risk area.

A water turbine safety management method and system based on digital twinning. The method comprises: obtaining a three-dimensional static scanning video of a current pumped-storage hydropower station, and a three-dimensional dynamic scanning video and a water turbine historical data set of a water turbine system (S101); on the basis of the three-dimensional static scanning video of the current pumped-storage hydropower station and the three-dimensional dynamic scanning video of the water turbine system, constructing a water turbine system safety management three-dimensional dynamic model (S102); on the basis of the water turbine historical data set, matching a corresponding fault diagnosis algorithm, and on the basis of the matched fault diagnosis algorithm, inputting the water turbine historical data set for optimization training, and constructing a water turbine system fault diagnosis model (S103); obtaining real-time water turbine data, and inputting the real-time water turbine data of the water turbine system into the water turbine system fault diagnosis model to obtain water turbine fault information (S104); and performing safety management on a water turbine on the basis of the water turbine fault information (S105).

The invention discloses an anti-shielding three-dimensional scanning measurement field construction method for large-size measurement, and belongs to the technical field of optical three-dimensional measurement. The method comprises the following steps: firstly, performing adaptive sampling based on geometric features of a workpiece to generate a candidate mark point set; secondly, constructing a virtual measurement scene, simulating a dynamic scanning process by using a ray tracing technology, and calculating the visibility and observation quality of each point under multiple viewpoints; then measuring precision is quantified by using a Fisher information matrix, and a layout optimization model which takes maximization of information gain as a target and meets coverage rate and engineering constraint at the same time is established; and finally, solving the model to obtain an optimal mark point subset, and verifying and outputting the optimal mark point subset. According to the method, the problems of measurement interruption, low point distribution efficiency and difficulty in guaranteeing precision caused by shielding of a large-size complex component in scanning are solved, and automatic construction of a high-robustness and high-precision measurement field is realized.

The invention discloses a large-size complex surface type high-speed scanning measurement device based on a white light interference technology and a method thereof, and relates to the technical field of crossing of optical precision measurement and machine vision, and the device comprises an intelligent measurement module which integrates a large-view-field vision camera, a 3D camera and a white light interferometer, the large-view-field vision camera is used for acquiring a global two-dimensional image of a measured object and automatically identifying features to trigger a measurement program, and the 3D camera is used for acquiring three-dimensional point cloud data of the measured object; according to the invention, the intelligent measurement module integrates multiple devices, a large-view-field camera triggering program, point cloud acquisition by the 3D camera and high-precision measurement by the white light interferometer, so that multi-source data collaboration is realized. The dynamic scanning optimization module adjusts step lengths and grid priorities according to curvature regions, improves an algorithm to generate a path, improves scanning efficiency and pertinence, achieves combination of global and local measurement through cooperation of multiple devices, meets the multi-precision requirements of complex surface types, improves measurement efficiency, and guarantees the precision of key regions.

The invention discloses a laser measurement system suitable for a large complex curved surface and a measurement method thereof.The measurement system comprises a control module, a positioning module, a pre-scanning module and a high-precision scanning module, and the control module comprises a high-precision scanning planning unit and a scanning analysis unit; the high-precision scanning module comprises a three-dimensional scanning platform, a universal mechanical arm and a distance measuring laser; the measurement method comprises the steps of pre-scanning to generate an initial model, scanning path planning and scanning attitude control, high-precision scanning to collect point cloud data, preprocessing and marking of the high-precision scanning point cloud data, local optimization and supplementary scanning strategy generation and high-precision scanning model generation. According to the measurement system and method, the dynamic scanning path of the high-precision scanning module is intelligently planned based on the pre-scanning result, the pre-scanning and high-precision scanning strategies are combined, high-density coverage and uniform sampling of the large complex curved surface are achieved, measurement is accurate, the anti-interference capacity is high, and the model scanning precision is high; a dynamic supplementary scanning mechanism is automatically marked and triggered in the scanning process, and the quality of scanned data is ensured.

The invention relates to a coal mine underground roadway surrounding rock state monitoring and catastrophe early warning method, and belongs to the technical field of coal mine safety monitoring. Aiming at the problems of data isolation, response lag and inaccurate catastrophe positioning in the prior art, the invention provides a cooperative monitoring scheme fused with multi-source sensing: constructing a polygon monitoring network through an ad hoc network geophone to perceive surrounding rock deformation in real time, and capturing fracture development characteristics in combination with an anchor rod multi-point separation layer displacement sensor; the millimeter wave radar is triggered to dynamically scan the abnormal area; and a data fusion algorithm is adopted to analyze the deformation gradient and the strain tensor, and accurate positioning of a catastrophe position and evolution trend prediction are realized. The method has the technical effects that the limitation of a single monitoring technology is broken through, the catastrophe positioning precision and the early warning timeliness are synchronously improved, and multi-dimensional decision support is provided for stability evaluation of deep roadway surrounding rocks.

According to the parameter image generation method and device for shortening the dynamic PET scanning time, the electronic equipment and the storage medium, the 3D image of the time frame of the first 25 minutes of dynamic PET scanning is obtained, feature extraction is conducted on the 3D image, the multi-scale feature map is generated through the network encoder part, the multi-scale feature map is mapped through the network decoder part, and the dynamic PET scanning time is shortened. According to the method, a Ki parameter image for network prediction is generated, the Ki parameter image for network prediction is optimized, the optimized Ki parameter image serves as input of next iteration, the steps are repeated until the set convergence condition is met, and the Ki parameter image meeting the requirement is finally obtained. And the quality of the generated Ki parameter image is beneficial to auxiliary diagnosis, so that the clinical examination efficiency and the comfort of a patient are remarkably improved, motion artifacts which are easy to occur during dynamic PET scanning are reduced as much as possible, and the quality of the generated Ki image and the diagnosis accuracy of a doctor are further ensured.

The invention discloses an online visual detection method for appearance defects of a compressor wiring structure, and relates to the technical field of machine visual detection and intelligent manufacturing, and the method comprises the following steps: before a robot enters a supplementary shooting area, scanning a compressor shell through low-angle light, extracting a continuous reflection streamline formed on a metal surface, marking a reflection strong point, and carrying out the detection of the appearance defects of the compressor wiring structure; and a reflective track band is generated as a path reference for image acquisition. Through operations such as dynamic scanning, reflection-avoiding modeling and circular scanning linkage, a closed-loop control strategy is constructed, metal reflection is actively recognized and avoided, character definition and recognition stability are improved, compressor batch tracing completeness is ensured, the recognition failure rate and the manual recheck rate are remarkably reduced on the premise of not influencing the rhythm, and the compressor batch tracing efficiency is improved. And the detection automation and quality control capability is improved.

The invention discloses a real-time monitoring method and system for the breakage rate and flow conductivity of a propping agent based on CT scanning. The real-time monitoring method comprises the steps that a CT scanner is externally connected to a quartz glass observation window of a flow guide chamber through a mechanical arm; performing initial scanning on the propping agent in the flow guide chamber through a CT scanner to obtain initial particle volume distribution and determine an initial volume and a minimum volume threshold value; setting the temperature and overburden pressure of the flow guide chamber, and injecting fluid through a constant-speed constant-pressure pump; cT dynamic scanning is triggered at a fixed time interval, and the real-time breakage rate is calculated; when the real-time breakage rate is larger than 5%, the pressure difference, the flow and the crack width are obtained; calculating the flow conductivity by combining the fluid viscosity and the length of the flow guide chamber; when the real-time breakage rate is smaller than or equal to 5%, returning to scan again; and when the pressure difference is greater than 5MPa, the experiment is automatically stopped. According to the invention, the three-dimensional image data in the experiment process can be rapidly obtained and processed and analyzed in real time, so that the measurement time is remarkably shortened, and the measurement efficiency is improved.

The invention relates to an animal epidemic disease monitoring data statistical analysis system and method. The method comprises the following steps: a multi-source data fusion module performs standardized fusion processing based on input case data, environment data and population data to obtain a spatio-temporal joint data matrix; a risk probability prediction module performs area scanning shape prediction on geographic feature data and population distribution data in the matrix, outputs a dynamic scanning area set, and performs environment and small sample correction to obtain risk probability distribution; and the hierarchical prevention and control visualization module performs spatial aggregation test based on the distribution, outputs a significant epidemic disease aggregation area, and generates a hierarchical prevention and control thermodynamic diagram in combination with an environment correction factor. According to the system, through multi-source data fusion, geographically adaptive dynamic window prediction and spatial aggregation test, the animal epidemic disease risk probability can be accurately analyzed, an epidemic disease aggregation area is output, a hierarchical prevention and control thermodynamic diagram is generated, and the animal epidemic disease monitoring level and the prevention and control visualization capability are further improved.

The invention provides a method for determining the sand content of slurry in open caisson type vertical shaft tunneling in a water-rich sandy cobble stratum. The method comprises the following steps: determining the volume concentration S sand-laser of slurry sand grains in the open caisson type vertical shaft tunneling process in the water-rich sandy cobble stratum through online dynamic scanning by adopting a pipeline type online laser particle analyzer; off-line checking is carried out by adopting a double-outlet sampler, a real sand grain proportion is obtained through calculation, S sand-real is calculated, and the data deviation of the pipeline type online laser particle analyzer is corrected; an observation window is installed at the bottom of the open caisson, visual confirmation is conducted through the observation window, the number of sand grains is automatically counted through a machine learning algorithm, and an auxiliary verification signal is triggered; and performing stratum instability three-layer system linkage judgment according to the determination results of the sand content of the slurry in the step S1, the step S2 and the step S3. By means of a three-layer monitoring system of real-time monitoring, precise calibration and visual verification, multi-dimensional and high-precision quantitative analysis of the content of the sand particles larger than or equal to 0.075 mm in the slurry is achieved, and a key basis is provided for water and sand gushing risk judgment.

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.

A while-drilling acoustic auto-tracking wellbore tool and a method for using same. The tool comprises: a power generation and communication system (100), which comprises a power generation system and a communication system, wherein the communication system is used for bidirectional transfer of measurement data and a control instruction; a power and measurement and control system (200), which comprises a measurement while drilling system, wherein the measurement while drilling system is used for measuring inclination and azimuth data of a newly drilled borehole, and transmitting the data to the communication system; and an acoustic measurement and guidance system (300), which comprises an acoustic emission and measurement and control system, wherein the acoustic emission and measurement and control system is used for emitting an acoustic signal in the newly drilled borehole, receiving a return signal and transmitting the return signal to the communication system. The solution solves the difficult problems of communicating a newly drilled well and an old borehole, determining the distance between a drill bit and the old borehole in real time, etc. The acoustic emission and measurement and control system emits the acoustic signal in the newly drilled borehole, receives the return signal and transmits the return signal to the communication system, and the position of a wellbore is dynamically scanned and monitored in an acoustic while-drilling manner, thereby achieving the aim of performing measurement while drilling.

The invention provides an optical path modulation spectral imaging system based on a dynamic FP cavity, and the system comprises a window which is used for carrying out the broadband filtering of incident light of a target scene; the telescope is connected with the window and used for converting incident light passing through the window into nearly parallel light; the dynamic FP cavity light splitting assembly is connected with the telescope and comprises a dynamic FP cavity and a nanometer driving mechanism, and the nanometer driving mechanism adjusts the cavity length of the dynamic FP cavity so as to realize staring type light splitting on the nearly parallel light, so that narrow-band spectrums with different central wavelengths can be obtained by different cavity lengths; the rear optical lens group is connected with the dynamic FP cavity light splitting assembly and is used for carrying out light path focusing and chromatic aberration correction on the light splitting signal output by the dynamic FP cavity light splitting assembly; and the detector is connected with the rear optical lens group and is used for receiving the imaging signal. The optical path modulation spectral imaging system based on the dynamic FP cavity can realize spectral dynamic scanning and staring spectral imaging by adjusting the cavity length of the dynamic FP cavity.

The invention discloses a film thickness measurement method and system based on a line scanning hyperspectral camera, and relates to the technical field of hyperspectral imaging, and the method comprises the steps: obtaining a reflection or transmission spectrum image and a dark noise image, and carrying out the denoising processing; using a hyperspectral camera and an integrating sphere to carry out radiation correction on the reflected or transmitted spectral image; acquiring a film reflectivity or transmissivity spectrum according to the transmission spectrum without the film or the standard specular reflection spectrum; and determining the number of global interference periods according to a reflectivity or transmissivity curve, and calculating by using a fast Fourier transform method or a spectrum fitting method to obtain the film thickness. Image data with space and spectrum information is acquired through a hyperspectral camera, high-precision film thickness measurement under global imaging and dynamic scanning is realized through an algorithm combining fast Fourier transform and spectrum fitting, and meanwhile, the film thickness measurement precision is improved by adopting dark noise correction and integrating sphere radiation correction. The quantitative accuracy of incident light and sample reflection or transmission light is ensured, and the detection efficiency is greatly improved.

The invention discloses an urban rail transit security check system, and the system comprises a passenger flow dynamics prediction module which constructs a modified Navier-Stokes equation passenger flow model based on the passenger flow pressure distribution and a motion vector field, and outputs a congestion entropy value and a risk particle flow; the adaptive millimeter wave scanning array switches a mobile focusing scanning mode or a wide-area screening mode according to double thresholds of risk particle flow intensity and congestion entropy, and the wide-area screening mode generates a basic threat index and marks a to-be-rechecked target; the feature analysis module generates a real-time threat level through contour feature comparison in a mobile focusing mode, and starts lightweight analysis on a to-be-rechecked target in a wide-domain mode to generate a threat assessment report; the immune decision-making center fuses multi-source data and dynamically generates a decision-making antibody through a clone selection algorithm, and a channel topology instruction contained in the decision-making antibody is executed according to a rule. According to the invention, through dynamic scanning decision and intelligent channel regulation and control, collaborative optimization of security check efficiency and security of a large passenger flow scene is realized.

The invention relates to the field of sun tracking sensing devices, and aims to solve the problems that a light radiation detection system is delayed in response and high in analysis complexity due to indirect calculation or image analysis for obtaining a sunlight radiation angle, and accumulative errors exist under a dynamic illumination condition. According to the solar tracking sensing device and method for realizing dynamic scanning of the light radiation quantity, measurement and direct output of the light radiation quantity and the angle are realized through rotation of the two-axis holder, and the maximum value of the light radiation quantity and the angle value corresponding to the light radiation quantity of a to-be-measured site can be obtained by directly using the device disclosed by the invention at the to-be-measured site; the light radiation quantity and the corresponding angle are directly output, dependence on continuous light intensity distribution is reduced, the problems that dynamic response of a sun tracking device in the prior art is delayed, and the light radiation quantity and the corresponding angle cannot be directly output are solved, and the device can be widely applied to the photovoltaic panel fixing and installing process and a dynamic angle adjusting system of a photovoltaic panel.

The invention belongs to the technical field of medical equipment. According to the dynamic target control method and system based on dual-band OCT cooperative imaging, a dual-band OCT cooperative scanning strategy is adopted, a patient is assisted in watching through a built-in fixation target during near-infrared preview, and fixation target parameters are recorded; a scanning target spot is generated during visible light preview adjustment, the position of the scanning target spot is adjusted through fixation target parameters, the exposure time of a patient under visible light is shortened, the dazzling feeling is reduced, and the comfort level of the patient is improved; in the formal scanning stage, the scanning light beam generates a dynamic scanning target spot and periodically stays at a fixed position to guide a patient to watch, the problem that visible light shields a built-in target is solved, and eyeball movement artifacts are effectively reduced.