107results about How to "Achieve acquisition" patented technology

The invention belongs to the field of urban sewage treatment, and provides an inverse fuzzy dynamic optimal self-adaptive aeration control method based on sewage treatment. Comprising the steps of dissolved oxygen concentration kinetic model construction, inverse fuzzy dynamic multi-objective optimization algorithm design, evaluation network and long-term utility function setting, execution network design, actual controller design, execution error function determination, execution network and actual controller parameter optimization and aeration pump control. According to the method, the optimal set value of the dissolved oxygen concentration is obtained through calculation of the inverse fuzzy dynamic multi-objective optimization algorithm; an execution network is designed by utilizing a judgment network and a long-term utility function, and unknown dynamic information of the dissolved oxygen concentration kinetic model is identified; optimization of an execution network and an actual controller is realized through the evaluation network and the execution error function; through the actual controller with the optimal parameters, self-adaptive control over the aeration pump is achieved, the control precision of the aeration degree is improved, and operation energy consumption is effectively reduced.

The invention relates to a video restoration method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring an original video, extracting first edge feature information of the original video, acquiring a video to be restored, encoding a first reference video frame selected from the video to be restored to obtain a first encoding feature, adding noise to the first encoding feature to obtain a first reference video frame feature, acquiring a random noise signal, and outputting the random noise signal to the video to be restored. Fusing the first reference video frame feature and the random noise signal to obtain a noise-added noise feature, obtaining first mask information indicating a to-be-repaired area in the to-be-repaired video, defining a noise reduction control condition based on the first mask information and the first edge feature information, and performing noise reduction on the noise-added noise feature according to the noise reduction control condition to obtain a to-be-repaired video. And carrying out noise reduction on the video features to obtain the denoised video features, and decoding the denoised video features to obtain a restored video. By adopting the method, the video restoration effect can be improved.

The invention discloses a long-distance rail identification and obstacle detection method and system, and the method comprises the steps: combining a long-focus optical system with an ultra-high-speed industrial camera at a hardware level, and building a high-collection-frame-rate and long-distance optical detection system; on the software level, a region of interest for obstacle detection is delimited according to recognition and visual segmentation of left and right rail lines of a rail, advanced visual tasks such as a rail obstacle intrusion detection algorithm based on target detection are executed, and finally high-frame-rate recognition and detection of long-distance rails and rail obstacles are achieved. According to the invention, a Schmidt-Cassegrain optical system with a focal length of 2000mm is used, and an ultra-high-speed industrial camera with a resolution of 1920 * 1080 and 3000 frames per second is combined to build a long-distance high-frame-rate optical detection platform which is erected on a driving position of a train to detect railway conditions within a range of 6km in real time; serious accidents caused by overlong braking distance due to high-speed running of the train can be prevented. Compared with a traditional train driver eye observation and laser radar-based scanning imaging mode, a farther detection distance, better detection and recognition robustness and a higher frame rate can be realized through the long-distance optical observation platform and the rear-end real-time detection system.

The invention discloses a three-primary-color depth image saliency detection system. The system comprises a feature encoder, an attention enhancement module, a cross-modal feature fusion module and a cascade correction decoder. The feature encoder is used for extracting original multi-level features of color and depth from the three-primary-color depth image; the attention enhancement module is used for enhancing the original multi-level features and carrying out space alignment processing and channel recalibration processing on the enhanced depth features; the cross-modal feature fusion module is used for performing multi-scale feature fusion processing on the depth features after space alignment and channel recalibration and the enhanced color features to obtain corresponding multi-scale fusion features; and the cascade correction decoder is used for taking the multi-scale fusion feature as a new multi-level feature of the three-primary color depth image, and decoding to generate a corresponding saliency map. The method has higher recognition and segmentation precision.

The invention relates to the technical field of air tightness testing, and particularly discloses a sealing tester air tightness monitoring system based on artificial intelligence, and the system comprises a sensor module which collects air pressure change parameters in real time through a pressure sensor; the image processing module collects bubble dynamic image information by using a camera; obtaining an inner surface contour image of the sealed cavity; the model construction module inputs the historical air pressure change parameters and the historical bubble dynamic information images into a preset convolutional neural network model for training, constructs a prediction model and obtains bubble motion parameters; the data analysis module inputs the air pressure change parameters and the bubble motion parameters obtained in real time into the prediction model for tracking detection, and air tightness prediction parameters are obtained; and executing an evaluation strategy based on the air tightness prediction parameters, judging whether the air tightness of the sealing test machine has a problem according to an evaluation result, and performing surface defect analysis on the inner surface contour image of the sealing cavity of the sealing space. And the display module displays the alarm result.

The invention discloses a method for automatically monitoring structural seismic response by using a monitoring video, and relates to the technical field of structural health monitoring. The invention aims to solve the problems existing when a monitoring camera is used for earthquake response monitoring. The method comprises the following steps: respectively identifying natural feature points in each frame of image of a pre-earthquake video and an earthquake time video, and describing the natural feature points by adopting a BRIEF descriptor; matching the natural feature points in the pre-earthquake video and the post-earthquake video, and extracting two-dimensional pixel coordinates of the natural feature points during the earthquake; and based on the two-dimensional pixel coordinates of the natural feature points during the earthquake, the displacement of the monitoring equipment during the earthquake relative to the lower-layer ground is calculated by adopting a PnP algorithm, and the monitoring equipment is fixedly connected with the upper-layer floor, so that the structural earthquake response is represented.

The invention belongs to the field of long-chain alkane online analysis systems, and discloses a long-chain alkane online analysis method and system based on comprehensive two-dimensional gas chromatography and an aerosol thermal desorption analyzer. The method comprises the following steps: during sampling, sucking ambient air through a cyclone separator with a PM2.5 cutting head, then removing gas-phase organic matters through a multi-channel carbon remover, and then intensively collecting particulate matters to a thermal desorption unit (CTD); the analyte after thermal desorption is re-concentrated into a focusing trap (FT) at 45 DEG C; starting separation and analysis of GC * GC-MS (gas chromatography-mass spectrometry); and the separated compound enters a mass spectrometer for mass spectrometry. According to the method, the total time from pollutant collection to analysis is controlled within two hours, and the change characteristics of long-chain alkane in the generation and elimination process of a pollution event can be effectively captured.

The utility model discloses a spectrum analyzer, comprising a tunable laser used for outputting frequency laser; the frequency expansion module is used for receiving the frequency laser output by the tunable laser, performing frequency expansion processing and then outputting frequency expansion laser; the signal acquisition module is used for acquiring a signal after the frequency expansion laser output by the frequency expansion module passes through the object to be measured; and the data processing module is used for analyzing the signal acquired by the signal acquisition module to obtain the frequency response of the to-be-detected object. According to the spectrum analyzer disclosed by the utility model, the frequency laser output by the tunable laser is subjected to frequency conversion through the frequency expansion module, so that the bandwidth of the spectrum analyzer is greatly expanded, and full-wave band spectrum analysis from purple light to infrared light is realized.

The invention discloses a voice style conversion method, and the method comprises the steps: obtaining a voice data set which comprises a source voice and a target voice; performing feature extraction on the source voice and the target voice to obtain a first Mel spectrum and a second Mel spectrum; performing content feature extraction on the first Mel spectrum through a preset content encoder to obtain content features; performing down-sampling processing on the phoneme sequence aligned with the content features to obtain a hidden state sequence; performing style feature extraction on the second Mel spectrum through a preset style encoder to obtain style features; performing alignment embedding on the style features and the hidden state sequence to obtain target style features; and determining a voice conversion result according to the hidden state sequence and the target style feature. According to the method, the phoneme sequence aligned with the content features is subjected to down-sampling, so that the problem that noise frames exist is solved. By performing alignment embedding on the style characteristics and the hidden state sequence, other styles except timbre are effectively transferred.

The invention discloses a cutting device for aluminum alloy door and window machining and a machining method, and relates to the technical field of aluminum alloy door and window cutting machining. According to the cutting device for aluminum alloy door and window machining and the machining method, through cooperation of the first locking assembly and the two second locking assemblies, support is provided for an aluminum alloy profile blank, meanwhile, support is provided for obtaining of an aluminum alloy profile with the target length by adjusting the distance between the two second locking assemblies, and the machining precision of the aluminum alloy door and window is improved. Through cooperation with the arrangement of the material pushing assembly, the height adjusting assembly and the top pressing assembly, along with movement of the material pushing assembly, clamping and positioning of the two sides, top limiting and cutting of an aluminum alloy profile blank are sequentially achieved, the clamping and cutting procedures can be achieved through one stroke of an electric telescopic rod, the machining efficiency is higher, meanwhile, frequent size measurement is not needed, and the machining cost is reduced. And convenient conditions are provided for obtaining the aluminum alloy sections with the same length.

According to the augmented reality fusion urban underground pipeline three-dimensional visualization method, calculation of internal and external parameters of a camera in an augmented reality fusion system and a three-dimensional tracking registration scheme of the augmented reality fusion system are provided, an underground pipeline visualization system based on augmented reality is constructed, virtual underground pipelines are directly displayed on a construction site scene in an overlapping mode, and the construction efficiency is improved. And fusion of the virtual pipeline and the real scene is realized. A user can correspond a construction site to spatial position information, such as position and depth, of the urban three-dimensional underground pipeline, the depth information of the pipeline in a real environment can be clearly sensed while a virtual-real superposition effect is obtained, and the understanding of the user to the pipeline and the surrounding environment is improved; in addition, the enhanced virtual-real fusion system can interact with a user, so that on-site constructors can understand information such as spatial distribution and shielding relation of underground pipelines, and meanwhile, the user can query various data such as attribution, flow and production places of the pipelines and real images of the pipelines.

A small sample semantic segmentation method based on query autocorrelation enhancement belongs to the technical field of image segmentation, aims to solve the problems in the prior art, and comprises the following steps: step 1, constructing a network model: sharing a backbone network of weight; generating a prototype; the Transform decoder is used for inputting a support prototype and a query feature; the prior enhancement module is used for obtaining prior mask information with high guidance by utilizing interaction between high-level features; the feature enrichment module enriches query features from different scales by using a support prototype and a prior mask; filtering out a predicted mask from the query feature with an output of the decoder; 2, a data set is prepared, wherein the data set is preprocessed according to a small sample segmentation task; 3, training a network model: inputting the data set prepared in the step 2 into the network model constructed in the step 1 for training; 4, selecting a minimum loss function and an optimal evaluation index; and 5, finely adjusting and storing the model.

The present invention provides a detection method and device for the placement state of wafers in a wafer box, which is applied to the detection of wafer boxes. The detection method includes: obtaining the standard value of the thickness and the standard value of the angle of the wafer; using a laser and a camera to scan the wafer box to obtain the three-dimensional morphology of the wafer box; according to the three-dimensional morphology, using a thickness calculation algorithm and an angle calculation algorithm to calculate the thickness and angle of each wafer in the wafer box; wherein the thickness calculation algorithm processes the data of the three-dimensional morphology through a point cloud downsampling method and a point cloud clustering method; comparing the thickness and angle of each wafer in the wafer box with the standard value of the thickness and the standard value of the angle to determine whether there are duplicate wafers, oblique wafers, and missing wafers in the wafer box. The present invention solves the technical problem that the traditional Mapping operation needs to use a ranging sensor to scan the inside of the wafer box point by point to determine the wafer position, resulting in a long scanning time and affecting production efficiency.

The embodiment of the present application discloses a device and method for measuring micro-nano particles, the device comprising: a first chamber, a microporous membrane, an electrophoresis tank, and a second chamber, wherein the microporous membrane is located between the first chamber and the electrophoresis tank, and the microporous membrane has micropores, and the first chamber is connected to the electrophoresis tank through the micropores; the second chamber is adjacent to the electrophoresis tank, and has a first side wall located between the second chamber and the electrophoresis tank, and the first side wall has a first opening for connecting the second chamber and the electrophoresis tank; the inner diameter of the micropore is smaller than the inner diameter of the electrophoresis tank, and the inner diameter of the electrophoresis tank is smaller than the inner diameter of the second chamber; the first chamber has a first electrode, and the second chamber has a second electrode. The technical solution of the embodiment of the present application can measure the properties of a single micro-nano particle in a solution.

The utility model provides a high and cold mining area soil meteorological environment three-dimensional monitoring device and a monitoring system, and relates to the field of plateau environment monitoring, a monitoring rod comprises a top end and an embedded end, and the embedded end is provided with an expansion part for increasing the bottom area of the monitoring rod; the data acquisition unit comprises a plurality of acquisition modules and a collection module in signal connection with the acquisition modules, the acquisition modules are used for monitoring soil moisture content, weather information and environment information, and the collection modules are fixed on the monitoring rod and used for collecting the acquired soil moisture content, weather information and environment information; the data transmission unit is in signal connection with the collection module, and the data transmission unit is used for uploading the collected soil moisture content, weather information and environment information to a remote data processing server. According to the application, the extension part is arranged at the embedded end of the monitoring rod, so that the stability of the monitoring rod is improved, and the monitoring rod resists severe geography and natural environments; moreover, diversified information parameters are obtained, and support data are provided for research on the influence of mining in a mining area on the ecological environment.

This application relates to the field of electricity market trading technology, and provides a collaborative trading decision-making method and system for electricity markets based on multi-time period machine learning, addressing the problem of low collaborative decision-making capability in cross-market electricity trading. The method includes: collecting heterogeneous data from the electricity spot, futures, and ancillary service markets across multiple time periods to construct a cross-market time-series knowledge graph that integrates temporal relationships; extracting historical price sequences and real-time supply and demand relationships from the graph, and then using a multi-scale machine learning model for feature analysis to obtain market state predictions; based on the prediction information, generating an initial trading decision scheme through multi-agent interactive negotiation, followed by cross-market consistency verification and rule compliance checks, and refining the scheme using a multi-round iterative optimization mechanism, ultimately outputting a unified trading strategy that satisfies multi-market constraints. This application improves the collaborative decision-making capability of cross-market electricity trading.

This invention discloses a vertical cigarette packing device and its working method, which solves the problem of large footprint of existing cigarette packing machines. It has the beneficial effects of reducing the footprint of cigarette packing equipment and expanding the application range of cigarette packing machines. The specific solution is as follows: A vertical cigarette packing device includes a frame, which supports a multi-segment transfer mechanism, a cigarette pack flipping mechanism, and a flat plate opening and closing mechanism. The multi-segment transfer mechanism is located at the top of the frame and is connected to a clamping and suction composite clamp. The cigarette pack flipping mechanism is set on the side of the clamping and suction composite clamp. A cigarette pack clamping mechanism is set on the inner side of the frame of the cigarette pack flipping mechanism. The flat plate opening and closing mechanism is set below the cigarette pack clamping mechanism. The cigarette pack flipping mechanism flips several horizontal cigarette packs into a vertical state. The cigarette pack clamping mechanism clamps the vertical cigarette packs. When the flat plate opening and closing mechanism is closed, it supports the bottom of the vertical cigarette packs.

The present invention relates to the technical field of smart communities, and in particular to a community network information operation and maintenance system, comprising: a recording module for recording and storing consumption data, supplementary data and acquisition links corresponding to the supplementary data of each household in the community; a mobile terminal for receiving the single-household consumption data output by the recording module, and the mobile terminal for adding corresponding usage information to the single-household consumption data, storing the added information as supplementary information and feeding it back to the recording module; an operation module for adjusting a working mode of the recording module according to the remaining memory of a network access recording unit, and setting a corresponding inspection cycle according to the supplementary information of each household in the community; a maintenance module for inspecting resource delivery equipment in the community at a corresponding inspection cycle; and by adjusting the working mode of the recording module, the working efficiency and resource utilization of the system are effectively improved, thereby effectively improving the versatility of the operation and maintenance system.

The invention discloses a device and a method for accelerating acquisition of holding time of an automotive LNG (liquefied natural gas) cylinder, the device comprises a box body and a water cooling box, heat-conducting oil capable of immersing a to-be-detected cylinder is injected into the box body, a heating device and a thermometer are arranged in the box body, the heating device is used for heating the heat-conducting oil, and the thermometer is used for detecting the temperature of the heat-conducting oil; a temperature sensor and a pressure sensor are mounted in the to-be-detected gas cylinder and are respectively used for detecting the temperature and the pressure of an inner container of the to-be-detected gas cylinder; the bottom of the box body is connected with a cooling coil inlet in the water cooling box through a first pipeline, and a first stop valve is arranged on the first pipeline; an outlet of the cooling coil is connected with the box body through a second pipeline, and a circulating pump is arranged on the second pipeline. According to the invention, the LNG gas cylinder for the vehicle is uniformly heated by the conduction oil, the temperature is accurate and controllable, the theoretical pressure-time formula is further corrected by using the obtained data, the maintenance time data of the gas cylinder to be tested at normal temperature is obtained, and the whole test process is short in time consumption.

The present application relates to the ultraviolet and visible light co-aperture zoom system of alpha particle visual detection, belongs to optical device technical field, solves the problem that existing detection equipment cannot synchronously carry out ultraviolet and visible light imaging and the observation field is fixed. The system includes first fixed lens group, variable power lens group, compensation lens group, light splitting prism, second fixed lens group and third fixed lens group, each fixed lens group is fixedly arranged, variable power lens group and compensation lens group move along the optical axis direction to realize zoom, the light splitting prism divides the light beam into two paths of ultraviolet and visible light, and the second fixed lens group and the third fixed lens group are used for imaging on the corresponding image sensor. The present application can realize continuous zooming and ultraviolet and visible light imaging under different fields of view by adopting co-aperture and the collaborative movement of variable power lens group and compensation lens group, and the distortion degree is small, and high-quality imaging effect can be stably output.

This application provides a remote sensing data processing method and system, electronic device, and storage medium, relating to the technical field of remote sensing data processing. The remote sensing data processing method includes: acquiring target remote sensing data from a target satellite constellation based on received user data requests; parsing the sensor type corresponding to the target remote sensing data to determine at least one target type of remote sensing data; determining the metadata information of the target type remote sensing data; performing block processing on the target type remote sensing data based on the metadata information to obtain multiple sub-target type remote sensing data; and performing distributed parallel computation on the multiple sub-target type remote sensing data to obtain the target output result. This application enables online access and acquisition of remote sensing data by parsing user data requests online, avoiding local downloads and offline processing. By migrating remote sensing data and algorithms to the cloud, it solves problems such as long processing time, low processing efficiency, and high local resource consumption costs.

This invention provides a method for obtaining terminal ballistic parameters by combining ballistic shock wave and explosion wave data. This method solves the technical problem that existing acoustic measurement methods can only obtain the location and time of the explosion, but not the projectile velocity and trajectory direction, thus hindering accurate assessment of projectile performance. The method comprises the following steps: N acoustic measurement points (N≥2) are set up around a predetermined explosion point; the acoustic measurement points sequentially acquire the arrival direction and time of the ballistic shock wave, and the arrival direction and time of the explosion wave; the explosion point location and explosion time are obtained from the acquired explosion wave arrival direction and time; and the trajectory direction and projectile velocity are calculated from the acquired ballistic shock wave arrival direction, time, and explosion point location. This invention enables the acquisition of terminal ballistic parameters such as explosion point location, explosion time, projectile velocity, and trajectory direction, providing crucial data support for accurate projectile performance assessment.

The invention relates to an interaction method suitable for digital twin networking. The interaction method comprises the following steps of projecting a picture acquired by a camera to a screen; carrying out digital twinning matching through a digital twinning management system, generating a UI (User Interface), and segmenting regions; performing function endowing; a traditional management system is connected, and point position projection is carried out; function triggering in the virtual scene is fed back to the screen. Therefore, region segmentation can be performed on the screen through the UI interface, a virtual scene can be segmented into a plurality of regions in a traditional management system and a digital twinning project, and grouping correspondence is realized. Data of each area after scene segmentation can be managed independently, and matching of effective data in the areas is met. According to the invention, the trigger position of the emergency can be quickly identified, and a user can quickly associate the area where the emergency occurs. Therefore, the characteristics of the eagle-eye camera can be utilized to the maximum extent, and the aerial view panoramic state can be obtained.

The invention discloses an information management net value mail cleaning and analyzing method and system based on a large model, and the method comprises the steps: obtaining a mail of a user mailbox, and extracting and storing the metadata of the mail; performing multiple identification on the mails based on a large model, confirming net value mails, and excluding non-net value mails; aiming at net value mail contents in different formats, adopting a corresponding extraction mode and carrying out data verification; standardizing the extracted net value data according to a preset term mapping table and a standardized data dictionary; performing automatic analysis based on the net value data after standardization processing; and carrying out visual display on the analysis result. According to the method, automatic identification and acquisition of net value mails are realized, net value data in mails in different formats can be extracted and automatically analyzed, and analysis results such as income trend and risk assessment are generated in real time. The method solves the problems that in the prior art, the efficiency of obtaining and analyzing the net value data in the asset management mail is low, errors are prone to occurring, format adaptation is difficult, and a dynamic analysis result is difficult to generate in time.

This application provides a method for loading dynamic capability configurations for a home-based embodied intelligent robot, comprising: Step 1: In response to a new hardware access signal, performing local hardware pairing and service registration; after the pairing and service registration are successful, retrieving a dynamic capability extension package corresponding to the accessed hardware, containing capability execution logic and interface configuration requirements, from a preset capability repository, and generating a global capability mapping table recording component installation status and hardware / software interface occupancy information based on the dynamic capability extension package; Step 2: In response to a received task instruction, performing capability retrieval in the global capability mapping table to determine the hardware readiness status and installation status corresponding to the target logic component required for the task to be executed, and then performing on-demand installation and data loading processing on hardware that meets preset criteria to produce a set of loaded capabilities containing the running entity of the target logic component.

The present application relates to the technical field of soil parameter remote sensing estimation, and particularly relates to a microwave soil equivalent temperature physical estimation method considering thermal sampling depth, comprising: obtaining soil temperature and humidity profile, surface temperature and soil texture data; combining dielectric constant model to calculate attenuation coefficients at different depths; determining thermal sampling depth based on the attenuation coefficients and dividing into multiple discrete layers; calculating average temperature using top and bottom temperatures of each layer according to soil heat conduction characteristics; calculating contribution weight of each layer to equivalent temperature based on attenuation coefficients and thickness of each layer; and obtaining microwave soil equivalent temperature by weighted sum of average temperature and weight of each layer. The present application has clear physical meaning, high estimation precision and is suitable for multiple frequencies, and overcomes the problem of limited precision or unclear physical meaning in the prior art.

The application discloses a kind of centimeter level translation's pixel super-resolution lensless on-chip microscopic imaging system and method, it is related to microscopic imaging technical field, system includes: light source, two transparent flat plate with multiple step structures, horizontal moving mechanism, object table, image detector and computer;Light beam emitted by light source is irradiated to the measured sample on the object table and object table after passing through two transparent flat plate;Image detector is used to detect holographic image after each movement of transparent flat plate;Computer is used to receive holographic image sequence, and high-resolution reconstruction image is obtained by applying pixel super-resolution fusion algorithm.The whole imaging system greatly simplifies traditional lensless on-chip holographic super-resolution imaging system, reduces the cost of whole imaging system, and the fusion algorithm of combination of convex set projection algorithm and alternate projection algorithm is handled sub-pixel displacement hologram, improves the precision of pixel super-resolution lensless on-chip holographic phase imaging.

The embodiment of the invention discloses a vehicle power takeoff control method, device and equipment and a medium, the control method is applied to a vehicle provided with a power takeoff, and the control method comprises the steps that firstly, whether the power takeoff of the vehicle enters a working mode or not is judged; the working mode comprises a driving mode or a parking mode; if the power takeoff enters the working mode, a clutch of the power takeoff is controlled to be combined with a driving shaft of the vehicle; the running speed of the vehicle is further obtained, and whether the running speed exceeds the power takeoff calibration speed or not is judged; and the running speed and the power takeoff calibration speed are judged, and if the running speed does not exceed the power takeoff calibration speed, a constant-speed cruise key of the vehicle is controlled to be used for adjusting the rotating speed of the power takeoff. By adopting the control method provided by the embodiment of the invention, the power takeoff can be subjected to adaptive working state adjustment under different conditions, the rotating speed of the power takeoff can be further adjusted better, and the power takeoff can be controlled more effectively and accurately.

The present application relates to the field of biological identification, and provides a multi-modal impression identification method based on causality, which comprises obtaining first multi-modal data of a speaker and second multi-modal data of a listener; performing causality identification on the first multi-modal data and the second multi-modal data through a preset causality model to obtain first features; performing feature extraction on the second multi-modal data through a preset first BLSTM network to obtain second features; performing cross-domain fusion on the first features and the second features through a preset attention network to obtain first fusion features; and performing impression identification on the first fusion features through a preset full connection network to obtain a first impression identification result. The preset causality model is set to capture the causality between the speaker and the listener. The preset attention network is set to realize cross-domain fusion of the related information between the two, improve the accuracy of impression identification, and improve the performance of identifying impressions from a single aspect.

The invention discloses CCD (Charge Coupled Device) visual inspection equipment which comprises a cabinet, a sliding rail, a motor, a speed reducer, a sliding block, a first electric telescopic rod, a second electric telescopic rod, an operation table, a supporting plate, a third electric telescopic rod, a supporting plate, a visual inspection camera, a CCD image sensor, a photoelectric sensor, an illuminating lamp, a controller and other parts. It is effectively ensured that detected object features can be clearly captured by the visual detection camera; the position of a detected object is detected through the photoelectric sensor, so that the CCD image sensor is triggered to carry out image acquisition, image acquisition is realized, a shot target is converted into an image signal, then the image signal is transmitted to the display screen, the shot image is displayed through the display screen, and the CCD image sensor has the characteristic of high resolution. According to the invention, fine features and textures of the detected object can be captured, the high-resolution image is beneficial to improving the detection precision and accuracy, and the detection effect of the visual detection camera on the detected object is improved.