73results about How to "Realize synchronous acquisition" patented technology

The invention discloses a distributed sonar buoy monitoring system. The system comprises a plurality of buoy monitoring nodes; the plurality of buoy monitoring nodes are deployed at different positions of a monitoring area in a distributed manner; each buoy monitoring node comprises an underwater sound data acquisition module, an underwater sound data transmission module, an underwater sound data processing module, a message transceiving module and an antenna transmission module; the underwater sound data acquisition module is used for acquiring underwater sound data in an area to be monitored and transmitting the underwater sound data to the underwater sound data processing module through the underwater sound data transmission module; the underwater sound data processing module comprises a processing unit; the processing unit is used for receiving and processing the underwater sound data and transmitting the processed underwater sound data to the message receiving and transmitting module; and the message receiving and transmitting module is used for receiving the processed underwater sound data and transmitting the processed underwater sound data to the shore-based terminal through the antenna transmission module, so that the shore-based terminal receives the processed underwater sound data. According to the invention, rapid acquisition and processing of underwater sound data in a large range are realized.

The invention discloses an ultrasonic welding quality online detection system and method, and belongs to the technical field of laser non-contact measurement. According to the invention, the laser vibration measurement probe is rigidly coupled to the welding head to construct a follow-up-common-optical-path measurement unit, so that synchronous acquisition of vibration signals with zero mass loading is realized; further extracting an attenuation section after welding is finished from the signal, and inverting an equivalent modal damping ratio representing an interface energy dissipation state based on an exponential attenuation model; meanwhile, multi-dimensional physical indexes such as an energy transfer efficiency index Itrans and an input stability index Iin are calculated, and in combination with an energy absorption state index, collaborative fusion is carried out through a weighted fusion formula to obtain a comprehensive quality score; and finally, realizing quality attenuation early warning based on time sequence trend analysis of a scoring sequence. On-line sensing of the deep dynamic state in the welding process is achieved, the early defect recognition sensitivity and the system anti-interference capacity are remarkably improved, and the predictive maintenance capacity of quality degradation is achieved.

The invention discloses an on-line detection device and method for surface defects of an automatic fiber placement laying layer, and belongs to the field of aeronautical manufacturing visual inspection, the automatic fiber placement laying layer surface defect detection device comprises a multi-line structure light source, an industrial camera and an illumination light field light source; the multi-line structure light source and the industrial camera point to the surface of the laying layer, and the multi-line structure light source is used for projecting a multi-line structure light field; the illumination light field light source is arranged above the surface of the paving layer and is used for projecting an illumination light field; the industrial camera is matched with the illumination light field light source and the multi-line structure light source to collect two-dimensional images and three-dimensional point cloud information of the surface of the laying layer. Compared with an existing method of independently using a laser contourgraph or a two-dimensional camera, the method has the advantages of simple structure, multiple types of information capable of being collected, low cost, multiple defect recognition types, high defect recognition accuracy, high applicability and the like.

The utility model discloses a portable three-dimensional dose verification device for radiotherapy. The portable three-dimensional dose verification device comprises a water tank assembly, a first measuring probe and a probe moving assembly, the water tank assembly comprises a tank body and a tank cover, the tank body and the tank cover are connected in a sealed mode to form a sealed space for containing water, and the front side of the tank body is provided with a first incidence window for beam current to penetrate through. The probe moving assembly is arranged in the box body, the first measuring probe is arranged on the probe moving assembly, and the probe moving assembly is configured to drive the first measuring probe to linearly move in the beam incidence direction in water, so that dose distribution measurement of the first measuring probe at different positions is achieved. The portable three-dimensional dose verification device for radiotherapy provided by the utility model is compact and small in structure and high in working efficiency, meets the requirement of placing the box body at different angles by adopting a sealing structure, not only meets the traditional treatment angle requirement, but also can meet the beam detection requirement in multidirectional irradiation in Gantry treatment, saves the beam time, and improves the radiotherapy efficiency.

The present application relates to the technical field of children nutrition assessment, and provides a kind of intelligent food material identification weighing and children nutrition assessment system, comprising: weighing module, for accurately weighing food material weight;Image recognition module, integrated multispectral camera and edge computing unit, through convolutional neural network model, multi-level feature extraction is carried out to food material image, and food material category and subdivision category are identified;Database module, built-in latest version Chinese food composition table, stores the nutrient component data of each kind of food material per 100 grams;Calculation module, according to the weight data output by weighing module and the food material category identified by image recognition module. Through the linkage of image recognition and weighing module, the synchronous acquisition of food material category and weight is realized, non-professional personnel can operate independently, the evaluation efficiency is improved by more than 70%, long-term data accumulation and trend analysis are supported, help parents to master children's nutrition status comprehensively, avoid phase nutrition imbalance.

This invention belongs to the field of integrated circuit design technology, specifically relating to a method for optimizing integrated circuit design data. This method first constructs a "tool-layer-semantic" data acquisition architecture, integrating multi-channel parallel acquisition units to collect heterogeneous data from multiple sources. Compliance pre-verification is performed through hardware logic circuits and a verification rule base, extracting key data identifiers. A three-level incremental compression strategy based on key data priority, combined with an intelligent index integrating multi-dimensional indexes, is used for compression and storage. The stored data undergoes multi-dimensional optimization, including semantic deduplication, priority optimization, format conversion, and source quality backtracking, forming a unified format optimized semantic. Through an interactive interface, it is adapted and interacted with electronic design automation tools. After consistency verification and performance testing feedback loops, the final design data and full-process traceability information are obtained and stored. This invention achieves unified management, efficient compression, intelligent optimization, and full-process traceability of design data.

The application discloses a metabolic equivalent driven endurance training intensity gradient generation system and method thereof, and belongs to the technical field of intelligent sports training. The system comprises a non-contact physiological signal acquisition module, a multi-dimensional metabolic state modeling module, a floating threshold generation module, a multi-channel feedback regulation module and an edge abnormality filtering module. Respiratory and heart rate and other multi-dimensional physiological parameters are collected through the fusion of a millimeter wave radar and a PPG sensor. A three-dimensional metabolic state dynamic evaluation model is constructed based on a GRU network, and real-time MET values are output. Intensity adjustment threshold values are adaptively generated according to MET deviation. The exercise intensity is cooperatively regulated through the tactile feedback of intelligent running shoes and the slope adjustment of a treadmill. Abnormal data are filtered at the edge by using a LOF algorithm. The application solves the problems of single physiological signal dimension, static metabolic state evaluation and abnormal data interference in the prior art, and realizes the precise real-time regulation of endurance training intensity.

The invention relates to the technical field of tunnel engineering, in particular to a cold region operation tunnel lining frost heaving influence test device and method.The device comprises a walk-in test box used for providing a uniform and controllable low-temperature environment, and a model box is arranged in the walk-in test box; a surrounding rock similar material, a tunnel lining model and a ponding simulation mechanism for simulating a ponding structure are arranged in the model box, the tunnel lining model and the ponding simulation mechanism are surrounded by the surrounding rock similar material, stress loading mechanisms are arranged on the top and the side wall of the model box, and a detection mechanism for detecting stress deformation displacement of the tunnel lining model is further included. According to the test device and the test method adopting the test device, the whole model is uniformly and controllably cooled through the step-in test box, a real temperature field where the tunnel in the cold region is located is accurately simulated, and the problems of uneven temperature and frost heaving simulation distortion caused by local refrigeration in the prior art are solved.

This utility model discloses a heat-insulating fire extinguishing device, including: a heat-insulating pad, a temperature sensor, a pressure sensor, and a fire extinguishing disc. The temperature sensor, pressure sensor, and fire extinguishing disc are disposed within the heat-insulating pad, which effectively improves the integration of the device. During installation, the heat-insulating pad is placed between two adjacent battery cells, thus significantly improving installation convenience. During use, if the temperature monitored by the temperature sensor exceeds a preset temperature value, or if the expansion pressure monitored by the pressure sensor exceeds a preset pressure value, thermal runaway of the battery cell will occur. The fire extinguishing disc releases extinguishing agent to extinguish the fire in the event of thermal runaway. Furthermore, by combining the temperature sensor and pressure sensor, synchronous acquisition of the battery cell temperature field and expansion pressure can be achieved, further improving safety compared to traditional single-parameter monitoring methods.

This application provides an intrusion detection system and method based on vibrating optical fiber. The intrusion detection system includes: an optical module that splits a laser signal into a probe signal and a reference signal, inputs the probe signal into the vibrating optical fiber, and outputs a first voltage signal; a differential amplifier circuit that converts the second voltage signal into a differential signal; a filtering circuit that performs a low-pass filter on the differential signal to obtain a filtered signal; an analog-to-digital converter circuit that performs analog-to-digital conversion on the filtered signal to obtain a digital signal; a clock circuit that outputs a reference clock signal to multiple analog-to-digital converter circuits so that the multiple analog-to-digital converter circuits synchronously acquire the filtered signal based on the reference clock signal; and a data processing circuit that acquires multiple digital signals output by the multiple analog-to-digital converter circuits and determines the vibration data corresponding to the vibrating optical fiber based on the multiple digital signals. Through the technical solution of this application, the accuracy of vibrating optical fiber intrusion detection is improved, the false alarm rate is reduced, and high spatial resolution vibrating optical fiber is achieved.

The invention discloses a TDI camera-based product detection method and system, and a medium. The method comprises the following steps: installing a line light source; the light intensity of the line light source is controlled to be in periodical light and shade stroboflash according to stripe distribution, so that stripe images meeting the phase shift method under the RGB three channels are obtained; analyzing stripe images under three channels of RGB, and calculating and obtaining original height data of all pixel positions under each channel of RGB based on phase deflection; traversing the original height data of all pixel positions so as to obtain final height data of the current pixel position through weighted averaging according to RGB channel weights corresponding to the current pixel position; according to the method, the TDI true color camera is used for collecting the three-channel fringe images, channel crosstalk and response inconsistent errors are restrained through a self-adaptive weighted average mechanism, high-speed measurement is guaranteed, meanwhile, the reconstruction precision and robustness of phase deflection are remarkably improved, and false data introduced by interpolation are avoided.

The utility model provides a device for testing the interception performance of a hollow fiber nanofiltration membrane. The device comprises a produced water sampling flow path, a concentrated water sampling flow path, a centrifugal pump, a first water tank and a second water tank, the first water tank and the second water tank are connected with the water inlet end of the centrifugal pump. The centrifugal pump is connected with the water inlet end of the membrane component; the water inlet end of the produced water sampling flow path is used for being connected with an interception side outlet of a membrane assembly, the water inlet end of the concentrated water sampling flow path is used for being connected with a permeation outlet of the membrane assembly, the water outlet ends of the produced water sampling flow path and the concentrated water sampling flow path are connected together and then connected with a first water tank, and the produced water sampling flow path and the concentrated water sampling flow path are each provided with a branch. The branch is provided with an online monitoring unit, and the online monitoring unit is used for synchronously collecting multiple parameters. The system has the advantages of being capable of covering multi-parameter dynamic testing, automatic operation and high-precision monitoring.

The invention discloses an EEG-fNIRS signal acquisition device and a related system, and relates to the technical field of biological intelligent sensing, and the signal acquisition device mainly comprises an EEG dry electrode, a near-infrared light source, a near-infrared light detector, a flexible signal transmission board and a control circuit. The distribution of a light source and a detector of the fNIRS adopts a bipolar detector distribution structure and a light source sharing mode; two electrodes, used for differential amplification, of the EEG are distributed between a light source and a detector of the fNIRS, the signal quality is improved, meanwhile, the space is reasonably utilized, and synchronous collection of the EEG and the fNIRS at the same node is achieved. According to the signal acquisition device provided by the invention, on the basis of advantage complementation of EEG and fNIRS data in time resolution and spatial resolution, EEG-fNIRS signals are acquired at the same time, so that the information quality is improved; a high-density structural design is achieved, and the information bandwidth is improved; the same-node acquisition enables a researcher to observe the interrelation between EEG and fNIRS, and a new material is provided for brain science and neuromedicine research.

The invention provides a multi-mode imaging system fusing optical coherence tomography (OCT) and multi-photon microscopic imaging, which is characterized in that optical system design is carried out on the basis of a laser light source and a laser control module of an OCT shared multi-photon microscope, and various imaging modes such as OCT angiography, Doppler OCT, multi-photon fluorescence imaging, second harmonic and third harmonic are fused. Synchronous acquisition of multi-mode and multi-dimensional optical information is achieved, and the application range is wider.

The invention provides a self-powered geological disaster monitoring device which comprises a cabinet, the side wall of the cabinet is rotatably connected with a solar panel, and a light sensor is arranged in the solar panel; a solar light following module, a battery module and a disaster monitoring module are arranged in the cabinet, and the battery module is used for storing photovoltaic converted electric energy and supplying power to each module; the solar light following module comprises a control board card and a driving mechanism, the control board card is electrically connected with the light sensor and the driving mechanism, and the driving mechanism is used for adjusting the orientation of the solar panel; the control board card is configured to control the driving mechanism to move according to the incident angle of sunlight when the illumination intensity is greater than a preset threshold value; when the illumination intensity is smaller than a preset threshold value, the theoretical incident angle of sunlight is calculated through an astronomical algorithm, and the driving mechanism is controlled to move according to the theoretical incident angle. According to the invention, long-term stable self-power supply of the device in a field environment without a power grid is realized.

The invention discloses a sampling device for synchronously monitoring greenhouse gases of different water layers of a reservoir, and relates to the technical field of water samplers, the sampling device comprises a connecting frame and a plurality of sampling units arranged on the connecting frame at intervals, each sampling unit comprises a bottle body with two open ends, and the two open ends of each bottle body are hinged to sealing covers; and the circumferential side of each sampling unit is provided with an opening and closing assembly for controlling the opening and closing of the sealing cover. Through arrangement of the opening and closing assembly, the retracting and releasing device, the clamping assembly and the like, all the sampling units are connected in series through one connecting rope, and an electromagnetic adsorption and release mechanism coordinated by the control unit is matched, so that the multiple sampling units can sequentially and accurately stay in different preset water layers in the one-time descending process; and the sealing covers in all the sampling units are uniformly controlled by the first strong electromagnet and can be synchronously powered off and closed after all the units are in place, so that synchronous collection of water samples at different depths is realized.

The application relates to an evolution updating method and system of an industrial vertical large model, and relates to the technical field of industrial large model evolution updating, and comprises the following steps: collecting tool cutting vibration signals collected by a micro-electro-mechanical system vibration sensor and spindle current and feed shaft torque data collected by a programmable logic controller, and packaging the data into an incremental sample set; using a prediction error mean and an uncertainty distribution standard deviation to construct an adaptive performance attenuation coefficient, combining a tool processing stage mutation mark to generate a model evolution start instruction; generating a parameter importance weight vector through momentum accumulation of a Fisher information matrix; combining knowledge distillation loss and tool life cycle comparative learning loss to perform joint fine-tuning, so as to obtain an evolved industrial vertical large model; and after verification, realizing atomic switching of a reasoning pointer through double-buffering and request dyeing marking, and completing zero-stop online replacement. The application fundamentally solves the technical contradiction between continuous evolution of an industrial field model and production continuity guarantee.

The invention provides a low-voltage data acquisition device and method based on the Internet of Things, and the method comprises the steps: carrying out the missing state estimation of all current data through the synchronous measurement of the current data of each sensor node, and obtaining the state residual error of the current data corresponding to each sensor node, determining the space-time correlation of all sensor nodes in the power grid in power measurement through all state residual errors and the correlation coefficient of the topological structure between adjacent nodes in the power grid node network; according to the transient energy and the space-time correlation of each sensor node, confidence correlation is carried out on all current data of low-voltage wireless synchronous measurement, and the measurement confidence of each sensor node is obtained; and when the measurement confidence of the sensor node is smaller than a preset measurement confidence threshold, reconstructing a current value measured by the sensor node according to the measurement confidence. By adopting the scheme of the invention, confidence evaluation of synchronous acquisition of power data can be realized, so that the reliability of low-voltage data acquisition can be improved.

The application discloses a double-link observable-based API interface data loss root cause positioning method, relates to the technical field of data operation and maintenance, and comprises the following steps: acquiring API requests from an API request query link and query request information of the API requests, wherein the query request information comprises first data identifiers and first time identifiers of to-be-queried data; acquiring data generation state information from a data generation link of a data production supply end, wherein the data generation state information comprises second data identifiers and second time identifiers corresponding to data generation tasks; establishing an association relationship between the API requests and the data generation tasks based on the first data identifiers, the first time identifiers, the second data identifiers and the second time identifiers; and if a response result of a target API request is data loss, determining a data loss root cause based on the association relationship, the target API request and a target data generation task. The application improves the positioning efficiency and accuracy of data loss faults.

The application relates to the field of power system data acquisition and edge computing, and discloses a multi-source heterogeneous data pre-acquisition and edge intelligent processing method, which comprises the following steps: using a modal division mechanism, combining the operation state of power equipment, and performing condition correction on an adaptive sampling frequency to obtain a corrected sampling frequency, so as to acquire multi-source heterogeneous data; extracting fusion core features from multi-dimensional feature vectors; substituting the fusion core features into a general fault judgment model and a time sequence prediction model to respectively output equipment fault prediction results and time sequence prediction results, and obtaining early warning information; based on the fusion core features, the early warning information and the equipment fault prediction results of each acquisition node, and combined with the Lymerzi complexity theory, the spatio-temporal coupling law is identified; and based on the spatio-temporal coupling law and the time sequence prediction results, edge end decision suggestions are provided for source-grid-load-storage collaborative regulation. The application effectively improves the power system data processing efficiency and the power grid operation and maintenance regulation level.

The present application belongs to the technical field of power equipment fault diagnosis, and particularly relates to a switch contact multi-working condition simulation ablation test platform and a test method. The test platform comprises a multi-load switching unit, a gradient current generation module, a synchronous acquisition module, an environment control module and a central control unit. The central control unit is built-in with a wide-range environment adaptive algorithm, the environmental error is compensated through a temperature and humidity correction formula, and a weight factor is introduced for different load types to correct the arc energy, thereby improving the contact ablation simulation precision under wide-range environmental stress and load transformation. The synchronous acquisition module is combined with the environment control module to realize the synchronous acquisition of four-dimensional characteristic data of "dynamic resistance, ablation morphology, arc energy and environmental parameters", so that the ablation process is changed from qualitative observation to quantitative measurement, and solid microscopic data support is provided for in-depth exploration of the ablation mechanism and establishment of an accurate physical model.

The invention discloses a detection unmanned vehicle target identification method based on computer vision, and relates to the technical field of artificial intelligence. During operation of the system, multi-source heterogeneous vision sensors such as wide-angle visible light, narrow field of view, high resolution and infrared thermal imaging are cooperatively deployed; a lightweight adaptive feature extraction network is introduced, a network structure can flexibly adjust the calculation scale according to the texture complexity of an input image through channel pruning and a dynamic sparse activation mechanism, and the calculation load is effectively reduced while the feature expression capability is ensured; fusing time sequence information through a bidirectional gating circulation unit to generate a target candidate area with motion prior; carrying out weighted fusion on the multi-modal features in the candidate region, and then classifying the multi-modal features; and an online domain adaptive correction mechanism is introduced, and network parameters are finely adjusted in an unsupervised manner according to environmental changes. In addition, occlusion recovery, resource awareness scheduling and offline-online collaborative learning strategies are integrated.

The invention relates to the technical field of rock mass blasting mechanical property tests, in particular to a test system and method for studying a blasting rock breaking mechanism in a vacuum environment, and the test system comprises a vacuum blasting cavity, a vacuum generation assembly, a sensor group and a sample bearing device; wherein; the vacuum blasting cavity is of a sealed pressure-bearing structure and is used for providing a vacuum blasting test space; the vacuum generation assembly is connected with the vacuum blasting cavity and used for establishing and maintaining a preset vacuum environment in the vacuum blasting cavity; the sample bearing device is arranged in the vacuum blasting cavity and is used for positioning and fixing a sample to be tested; the sensor group is arranged in the vacuum blasting cavity or the sample to be tested and is used for monitoring the pressure in the blasting test process in real time; wherein the vacuum blasting cavity is further provided with an observation window, and the observation window directly faces the to-be-tested sample and is used for an external high-speed camera to collect images in the blasting test process from the observation window in real time.

The utility model discloses a pressure displacement detection mechanism, comprising a pedestal tool fixed with a cutter to be detected; the detection modules are arranged on the two sides of the extending direction of a piston rod of the cutter correspondingly, and the detection module on each side comprises a mechanical sensor which annularly sleeves the periphery of the piston rod and is used for collecting the ejection force of the piston rod after point explosion; the displacement sensor and the axis of the piston rod are coaxially arranged, and the displacement sensor is used for detecting the real-time displacement of the piston rod in a non-contact mode; the flexible adjusting mechanism comprises a limiting air cylinder and a limiting sliding rail; wherein the output end of the limiting air cylinder is fixedly connected with the detection module and used for pushing the detection module to move in the axial direction of the piston rod, and the limiting sliding rail is parallel to the axis of the piston rod and used for slidably installing the detection module on the limiting sliding rail through a sliding block. According to the technical scheme of the utility model, high-precision and multi-parameter synchronous detection of the performance of the cutter and flexible adaptation of test working conditions are realized.

The application discloses an experimental device for collecting fault signals of a combined bearing-rotor system of a rotary steering tool, which comprises a base horizontally fixed in a test site, a driving system installed on the top of the base, a main shaft fixedly connected to the output end of the driving system, a rotary steering tool simulation system comprising an eccentric adjusting mechanism and a combined bearing, and a signal collecting system comprising an acceleration collecting module and a data collecting module, wherein the acceleration collecting module is installed on the combined bearing, and the acceleration collecting module is in signal connection with the data collecting module. The application can simulate the fault state of the combined bearing-rotor system of the rotary steering tool under different working conditions on the ground, effectively collect fault signals, and provide a reliable experimental platform for the fault mechanism research and diagnosis algorithm development of the rotary steering tool.

The invention relates to the technical field of virtual reality, and discloses a virtual reality evacuation experiment method, system and device based on multi-person online coordination. The method comprises the following steps: building a virtual reality disaster scene based on a scene template in a preset scene model library; after the virtual reality disaster scene is triggered to run, acquiring evacuation experiment data generated by the tested object based on the virtual reality disaster scene displayed by the tested device; through each intelligent agent model-based NPC in the virtual reality disaster scene, based on evacuation experiment data and scene data of the virtual reality disaster scene, determining a motion and control strategy of the NPC so as to display each NPC in the virtual reality disaster scene displayed by the tested equipment according to the motion and control strategy, and interacting with the tested object to perform an evacuation experiment; the problems of low efficiency, poor effect, high cost and uncontrollable risk caused by performing an evacuation experiment in a real scene can be avoided; the experiment efficiency and effect are improved, and the experiment cost and risk are reduced.

The invention discloses a digital time taming and signal synchronization correction method, which comprises the following steps that: a reference node sends a synchronization sequence, and the synchronization sequence modulates the reference node time at the sending moment; the synchronization node receives the synchronization sequence and obtains synchronous digital time by adopting a digital time taming mode; and the synchronous node realizes synchronous correction of the signal based on the obtained synchronous digital time. According to the digital time taming and signal synchronization correction method provided by the invention, a burst transmission mode is adopted to send a synchronization signal, and a receiving node rapidly captures and adopts a dynamic interval loop tracking method, so that flexible channel time division multiplexing can be realized. The synchronous time is obtained in a digital time taming mode, synchronous correction of the signals is achieved through resampling on the basis of the synchronous digital time, the problem that a sampling clock is not synchronous is prevented from being coupled to a subsequent signal processing flow, and meanwhile dependence on a programmable crystal oscillator is also avoided.

This invention relates to the field of fault detection and location technology for railway power supply systems. Specifically, it discloses a method for identifying fault sections in railway AT power supply contact networks based on special-type interconnects. This method solves the problem that existing railway AT power supply traction networks may make mistakes in determining fault sections by relying solely on electrical quantities when a fault occurs near the AT substation. The method involves installing a wireless communication sensor with a built-in special-type interconnect near the AT substation's connection point towards the section substation. After the data is collected and processed by a centralized data receiving device, the data is uploaded to a communication server. The server uses the GOOSE communication protocol to communicate with the fault location device at the AT substation via Ethernet. The sensor's activation signal and the collected electrical parameters are uploaded to the traction substation's fault location device through the fault location channel between the traction substation and the AT substation. Combined with AC sampling data from each substation, the method achieves accurate identification of the fault section, accurately guiding maintenance personnel to reach the fault location as quickly as possible for repair, troubleshooting, and restoration of normal power supply.

This invention discloses a method and system for synchronous detection of multiple fields using dual-camera multi-band information acquisition, relating to the field of online detection technology. It achieves synchronous detection of multiple physical fields in a single acquisition process. The method includes a calibration phase and a measurement phase; the system includes: a first and second camera receiving optimization module, a camera parameter calculation module, and a multi-physics field reconstruction module. In the calibration phase, the dual-camera receiving optimization module is positioned on both sides of a calibration plate and aligned with it, acquiring information from the detection bands of the calibration plate to form first and second sets of multi-band calibration images. The camera parameter calculation module calculates the dual-camera parameters in the experiment based on the first and second sets of multi-band image data. In the measurement phase, the dual-camera receiving optimization module is positioned on both sides of the test piece and aligned with it, acquiring information from the detection bands of the test piece to form first and second sets of multi-band measured images. The multi-physics field reconstruction module calculates each physical field based on the dual-camera parameters and the first and second sets of multi-band measured images.

This invention belongs to the field of image processing technology and discloses a cotton foreign fiber cleaning machine and its image processing method. By building a multimodal collaborative acquisition system of visible light, ultraviolet light and 3D depth, and combining an environment and acquisition parameter linkage triggering mechanism, it solves the problems of fixed acquisition parameters and susceptibility to environmental interference in traditional technologies. The distributed arrangement of color line scan cameras and 3D depth cameras, combined with the adaptive adjustment of white light and ultraviolet non-heating LED light sources, realizes the synchronous acquisition of spatial and planar features of foreign fiber space on the surface and inside of cotton. An iterative cross-attention guided CNN and Transformer fusion network is constructed, which takes into account both local detail capture and global context association modeling capabilities. The design of a reparameterized heterogeneous multi-scale convolution module expands the receptive field without increasing inference cost, and can fully extract local information such as foreign fiber edge contours and texture details.