39results about How to "Automate processing" patented technology

The present application relates to the technical field of image analysis, and specifically provides a special-shaped sample color measurement defect correction and error compensation method and system based on image analysis, which comprises the following steps: collecting an original image of a sample to be measured and preprocessing the original image to obtain a to-be-measured image; matching the to-be-measured image with a pre-constructed color measurement defect standard database, identifying defect features and positions through an image analysis algorithm, matching a correction strategy to obtain a correction image of an effective color measurement area; adjusting color measurement instrument parameters according to the defect features, collecting color values of the effective area, and performing mean value processing to obtain original average color values; extracting image shape, material and color core features, matching a color compensation algorithm in association with the original average color values, and completing compensation to obtain target color values. The method realizes full-process automation of special-shaped sample color measurement, effectively eliminates collection deviations caused by shapes, improves color measurement precision and efficiency, and adapts to industrial high-precision control requirements.

The invention discloses an exception handling method and device, equipment, a medium and a product, and relates to the technical field of cloud computing, and the method comprises the steps: determining an exception type corresponding to at least one downstream interface in response to the recognition that the at least one downstream interface has an exception; and determining an exception handling scheme corresponding to the at least one downstream interface based on the exception type, performing exception handling on the at least one downstream interface according to the exception handling scheme, and when the at least one downstream interface is abnormal, determining a corresponding exception handling scheme through the exception type, and the abnormal processing is carried out according to the abnormal processing scheme, so that automatic processing of the abnormal downstream interface is realized, manual communication and processing are not needed, and the processing efficiency of the abnormal interface is improved.

The invention is suitable for the technical field of crossing of computer vision, artificial intelligence and sports science, and provides a tennis posture evaluation system based on multi-modal data fusion, which comprises a three-dimensional posture extraction module, an action recognition module, an index calculation module and a natural language evaluation generation module, the three-dimensional posture extraction module is used for extracting a human body three-dimensional key point sequence from a monocular video according to an STCFormer model; the action recognition module is used for performing standardization processing, Bi-LSTM network processing and full-connection classification network processing on the human body three-dimensional key point sequence to obtain tennis action types; the index calculation module is used for calculating biomechanical parameters according to the action type and the human body three-dimensional key point sequence; and the natural language evaluation generation module is used for inputting the action type and the biomechanical parameters into a preset large language model to generate feedback information in a natural language form. Therefore, end-to-end automatic processing from original video input to final professional evaluation report generation is realized, and objectivity and accuracy of evaluation results are improved.

The utility model relates to a batch material formula caterpillar belt shot blasting machine, including setting on the shot blasting chamber of frame, being equipped with caterpillar belt and its drive mechanism in shot blasting chamber, and caterpillar belt includes chain plate and chain, and chain plate is equipped with waste hole on, and chain plate fixedly connected on chain, and drive mechanism includes drive motor and transmission shaft, and chain and transmission shaft transmission connection, and the side of shot blasting chamber's feed inlet is equipped with winch feeding device, and the discharge port of shot blasting chamber is equipped with conveyer, the utility model discloses through winch feeding device feeding, and conveyer discharging can realize automatic feeding and discharging, and also improve the caterpillar belt structure, and greatly improve the wear resistance, so that the automatic treatment of batch material can be realized, and manual operation is not needed, and the cost is greatly saved. Moreover, the chain plate and chain of caterpillar belt are connected through bolt, the chain and driving gear are engaged, the transmission efficiency is high, does not slip, the chain plate can be separated and disassembled, does not need to replace the whole set, and the maintenance is more convenient.

This invention belongs to the field of medical image processing technology, specifically a system for aortic motion feature extraction and disease risk prediction based on medical image analysis. The system includes modules for acquiring multi-temporal image sequences and clinical data, dynamic segmentation of aortic anatomical structures, construction of a dynamic relative coordinate system, trajectory preprocessing and standardization, trajectory segmentation analysis based on physiological phases, multidimensional dynamic feature extraction, and risk stratification prediction model construction. This invention integrates multidimensional motion features with clinical indicators to construct a risk model based on machine learning or statistical regression, outputting a predicted value for the individual's cardiovascular disease risk. This invention can reduce global interference caused by respiratory and cardiac translation, improve the biological specificity and inter-individual comparability of features, achieve fully automated processing, and enhance the risk prediction ability for cardiovascular events such as heart failure, atrial fibrillation, and aortic disease, showing promising application prospects.

The invention provides a thyroid nodule detection system, and the system comprises a receiving module which is configured to receive a thyroid ultrasound video; the multi-target instance segmentation module is configured to perform frame-by-frame detection on target objects in each video frame through a trained target instance segmentation model to obtain detection data of each target object in each video frame, the detection data comprises a detection frame and confidence, and each target object comprises a carotid artery, a thyroid gland and a thyroid nodule; the instance tracking module is configured to track each target object in the thyroid ultrasound video by adopting a multi-target tracking algorithm based on target detection based on each detection data to obtain each tracking trajectory of each target object; and the determination module is configured to determine a target thyroid nodule detection result corresponding to the thyroid ultrasound video based on each tracking trajectory of each target object. According to the invention, the video can be processed for an end-to-end screening scene, and the detection accuracy is improved.

This utility model discloses an automatic water supply control system for a hydropower plant, including a sedimentation tank, a filtration tank, a polyaluminum chloride (PAC) stirring tank, a clear water tank, a sodium hypochlorite generator, a dam crest water tank, a first water source pump, a first metering pump, a second metering pump, a booster pump, a water level sensor, and a control terminal. The inlet of the sedimentation tank is connected to the water intake via a pipe, and the first water source pump is installed on this pipe. The inlet of the filtration tank is connected to the outlet of the sedimentation tank via a pipe, and the outlet of the filtration tank is connected to the inlet of the clear water tank via a pipe. The PAC stirring tank contains PAC solution, and its outlet is connected to the inlet of the sedimentation tank via a pipe, where the first metering pump is installed. The sodium hypochlorite generator produces sodium hypochlorite solution, and its outlet is connected to the inlet of the clear water tank via a pipe. This utility model has automatic dosing and automatic pumping functions, reducing labor costs and improving work efficiency.

This invention discloses a fully automatic water pressure recording system based on the Internet of Things (IoT), belonging to the field of IoT technology. It aims to solve the pressure fluctuation problems caused by response lag and operational errors in traditional manual water pressure operations. The system includes: a construction parameter input module for receiving user-inputted construction parameters; a data acquisition module for acquiring real-time injection rate data and pipeline pressure data; a data processing module for calculating cumulative flow based on real-time injection rate data and calculating gauge pressure and peak pressure based on pipeline pressure data; a report generation and display module for generating water pressure recording reports and displaying pressure and flow curves in real time based on cumulative flow, gauge pressure, and peak pressure; an adaptive PID control module for dynamically adjusting the plunger pump speed to maintain pipeline pressure within the target pressure range; and a safety protection module for outputting a stop command to stop the plunger pump when the pipeline pressure exceeds the safe pressure limit.

The utility model relates to the technical field of metering instrument maintenance, especially to a multi -core cable alignment tool. The multi -core cable alignment tool includes carrier circuit board and tool shell, and power module, detection module and processor module are integrated on the circuit board. The power module is independently separated and arranged, respectively supplies power for the processor module and detection module, realizes electrical isolation to improve safety; the detection module supports batch wiring through the multi -end input port, cooperates the logic control of processor module, and the display module directly shows the wire serial number, and the prompt module realizes sound and light feedback through the buzzer and indicator light, the storage module supports historical data call, and the input module adopts composite key to realize reset, brightness adjustment and other functions. The tool solves the problem of low efficiency and easy error of traditional manual alignment, realizes single person once wiring batch calibration, has short -circuit detection and data storage functions, improves the efficiency and accuracy of cable alignment, reduces cable loss and cost.

This application discloses a method, storage medium, and server for handling upgrade anomalies of smart devices, relating to the field of smart home technology. It aims to solve the problem of reducing the cost of handling upgrade anomalies of smart devices. The method includes: in response to a smart device upgrade anomaly, obtaining the upgrade anomaly code reported by the smart device; determining whether the upgrade anomaly code meets a first preset condition; if it does, adding the smart device to a device upgrade blacklist; and setting removal conditions to determine whether the smart device can be removed from the device upgrade blacklist under the preset conditions. In this way, the specific reason for the upgrade anomaly can be understood based on the upgrade anomaly code, allowing for differentiated processing of the anomaly-affected smart devices. Simultaneously, setting removal conditions establishes a mechanism for automatically removing smart devices from the device upgrade blacklist, improving the intelligence level of upgrade anomaly handling, reducing the manual cost of device upgrade anomaly handling, and expanding the coverage of device upgrade services.

The present disclosure relates to a tool and tool holder assembly method and device, which comprises: obtaining tool information, tool holder information, and tool and tool holder assembly information, wherein the tool and tool holder assembly information comprises overhang depth information of the tool after assembly with the tool holder; determining a machining depth range of the tool allowed for actual machining according to the overhang depth information of the tool after assembly with the tool holder; establishing a tool and tool holder assembly information database according to the tool information, the tool holder information, the tool and tool holder assembly information, and the machining depth range of the tool allowed for actual machining; and assembling the tool and tool holder according to the tool and tool holder assembly information database to obtain the assembled tool and tool holder.

This invention relates to the field of slitting machine technology, and in particular discloses an intelligent slitting and tape-sealing device for roll materials. The device includes a slitting machine, a slitting assembly mounted on the slitting machine for slitting externally unrolled roll materials, and a first frame for carrying the external roll materials. It also includes a cutting mechanism for cutting the unrolled roll materials, a rolling mechanism, and a tape-sealing mechanism used in conjunction with the cutting mechanism. By integrating the slitting, cutting, rolling, and tape-sealing mechanisms, the device achieves automatic slitting, cutting, winding, and tape-sealing of the unrolled roll materials, greatly improving production efficiency and automation. The slitting and cutting mechanisms used in conjunction enable precise slitting and cutting of the unrolled roll materials, ensuring accurate dimensions of the processed small roll materials. The tape-sealing mechanism compresses and cuts the tape, ensuring that the tape adheres to the roll material and seals it, providing a high-quality sealing effect and improving roll material production efficiency.

The utility model belongs to the technical field of electric core production equipment, and concretely is an electric core insulating paper pasting equipment, including frame, be equipped with the index plate on the frame, be equipped with vacuum assembly carrier on the index plate, frame is equipped with pasting insulating paper station, pressing station, rubberizing station along the index plate rotation direction in proper order, pasting insulating paper station is used to snatch insulating paper to the electric core sticking position, and the pressing station is equipped with the pressing block driven by the drive equipment, and the sticking insulating paper is pressed initially, and the rubberizing station includes folding mechanism and pressing mechanism, and the folding mechanism contains moving seat, gyro wheel, platform, connecting rod, and the moving seat can move up and down and left and right, and the platform and moving seat, connecting rod and platform are connected through guide rod and spring, and the gyro wheel can roll along the top end of the electric core to the lug end side wall to fold and wrap the insulating paper, and the utility model realizes the automation of insulating paper sticking and folding and wrapping and reduces the artificial cost.

This utility model provides a punching and shearing machine device with waste collection, belonging to the field of metal processing machinery technology. It includes a punching and shearing machine body, a collection hopper fixedly connected to the inner wall of the punching and shearing machine body, a transfer pipe connected to the bottom of the collection hopper, a collection component disposed at the end of the transfer pipe, and a compression component disposed below the collection component. This utility model effectively solves the problems of scattered and difficult waste collection in traditional punching and shearing machines through the arrangement of the collection and compression components. Automatic suction and separation of waste are achieved through air pump negative pressure adsorption combined with a bellows structure, avoiding the inconvenience of manual cleaning. The bidirectional hydraulic compression mechanism efficiently compresses the waste into regular blocks, significantly reducing waste volume and improving storage and transportation efficiency. While ensuring the normal operation of the punching and shearing machine, it achieves automated waste processing, improving the working environment and reducing waste management costs, thus possessing high practical value and economic efficiency.

This disclosure provides a method, apparatus, device, and storage medium for acquiring and applying an operations and maintenance (O&M) knowledge graph, which can be applied to the field of O&M service technology. The method includes: acquiring O&M resource data from a device information resource database; performing structured identification on the O&M resource data to obtain static O&M knowledge, which includes multiple first entities; acquiring real-time O&M service work order data; using a pre-trained knowledge extraction model to perform unstructured identification on the O&M service work order data to obtain dynamic O&M knowledge, which includes multiple second entities; acquiring historical relationships between the multiple first entities and the multiple second entities; inferring new relationships corresponding to the first entities in the O&M service work order data based on the first similarity between the multiple first entities, the second similarity between the multiple second entities, and the historical relationships; and obtaining an O&M knowledge graph based on the new relationships.

This application discloses a high-performance laser detection system, a laser detection data analysis method, and an apparatus, relating to the field of laser testing. The system includes: a laser, two optical lens groups, a fiber optic cone, a photodetector, and a signal processing circuit. The laser and the two optical lens groups work together to form two laser screens. The fiber optic cone is coupled to the surface of the photodetector. The photodetector detects the laser signals passing through the two laser screens. The signal processing circuit amplifies the electrical signals using a hyperbolic tangent amplifier circuit to obtain the original laser screen signals. The method includes: sequentially filtering, fragment identification, zero-time explosion identification, and cross-screen matching of the original laser screen signals, and outputting fragment signal matching pairs and their corresponding velocities. This application improves the response speed and dynamic range of the detected light intensity of the laser detection system, while simultaneously achieving accurate identification and parameter calculation of multiple fragments, significantly enhancing the detection capability and analysis efficiency of traditional laser screens.

This invention provides a method and system for reconstructing the outer contour function of a projectile's head shape based on machine vision, belonging to the field of machine vision image processing and automatic parameter calculation technology. First, the invention performs semantic segmentation on the frontal view image of the projectile's head shape to obtain a binary mask of the projectile target, and extracts and crops the outer contour of the head shape segment. Second, through coordinate axis self-calibration and attitude alignment, the standard attitude coordinates of the projectile's head shape outer contour are obtained. Then, in the local coordinate system, geometric constraint feature points are extracted to obtain the endpoints, pixel areas, and single-point coordinates of the projectile's head shape outer contour. Third, a two-parameter head shape outer contour shape function satisfying endpoint constraints is constructed, and the shape parameters are solved using area constraints and single-point constraints to obtain the analytical expression of the head shape outer contour. Finally, the outer contour function and its derivative are substituted into the head shape factor integral formula to achieve automatic calculation of the head shape factor.

The invention belongs to the technical field of chemical accident safety analysis, and discloses a chemical accident cause analysis method based on text mining and causal inference, and the method comprises the steps: carrying out the directional semantic segment extraction and cleaning of an obtained chemical accident text; training a pre-constructed deep learning model by using historical chemical accident data, and performing cause entity recognition on the optimized cause description data; automatically aggregating the chemical cause semantic vectors into a cause theme set by using a density clustering algorithm; according to a preset multi-dimensional intensity calculation index set, performing cause theme action intensity calculation on the cause theme set, constructing a part of ancestor graphs, and performing correction processing on the part of ancestor graphs; and performing causal intensity inference on the chemical causal structure based on the structure equation model, performing anti-fact intervention simulation on the quantitative causal network, and determining an optimal prevention strategy. According to the method, the automatic processing of the unstructured text can be realized, and the automation and objectivity of cause analysis are improved.

The application discloses a device and method for eye diagram closed-loop optimization of high-speed serial interface between electric energy meter and terminal, and relates to the technical field of high-speed circuit communication. The device comprises an eye diagram detection module, a conditional trigger module, an LQR optimization decision module, a parameter execution module and the like. The method executes a closed-loop optimization process through the above-mentioned modules. The eye diagram detection module reconstructs an eye diagram in real time and calculates an eye diagram parameter vector, the conditional trigger module starts optimization when the quality of the eye diagram deteriorates, and the LQR optimization decision module models the registers of the sending end and the receiving end as control variables, describes the influence of the registers on the eye diagram parameter through a sensitivity matrix, and obtains the globally optimal register adjustment increment through the analytical solution of the linear quadratic regulator. The application replaces iterative search with an analytical method, avoids local convergence and link oscillation, and realizes automatic closed-loop optimization of the quality of the high-speed serial interface signal without manual intervention.

The utility model belongs to the technical field of screening devices, and particularly discloses a concrete mortar multi-stage screening device which comprises a base and a bottom box, the bottom box is arranged on the right side of the top of the base, a middle box is arranged above the bottom box, and a top box is arranged above the middle box. Supporting rods are fixed between the two sides of the outer portions of the bottom box, the middle box and the top box and the base, and supporting rings are transversely fixed to the lower portions of the inner portions of the bottom box, the middle box and the top box respectively. According to the concrete mortar multi-stage screening device, cement powder is poured into the throwing box of the top box, the throwing box is rotated after a first motor is started, the throwing box with balls is rotated along an annular groove in the top of a supporting ring, large-particle impurities are intercepted through a filter screen with coarse holes, and other materials penetrate through a notch to flow into the throwing box in the middle box; and the materials are continuously screened by the smaller-stage filter screen, and are finally screened by the finest filter screen in the bottom box, so that the problem that the screening filter screen is single is solved.

The application provides a method and system for dividing tumor perfusion sub-regions based on dynamic ultrasound contrast data, the method comprising obtaining pre-processed dynamic ultrasound contrast images and pixelizing, so as to obtain time-intensity curves of each pixel point of tumor tissue and average time-intensity curves of normal tissue, obtain perfusion characteristic parameter ratios of each pixel point of tumor tissue, generate perfusion sub-regions of the tumor through clustering results of clustering of all pixel points in the interval, and map information thereof back to the original image. The application maximizes the use of dynamic image data through a non-invasive diagnostic method, comprehensively captures perfusion characteristics of the tumor from the pixel level, visualizes and quantifies tumor perfusion heterogeneity, improves the readability of the dynamic contrast video, helps to explore the correlation between tumor sub-regions and benignity and malignancy and construct a diagnostic model accordingly, improves the diagnostic accuracy of breast cancer, and provides more information support for personalized treatment of patients.

The invention discloses an intelligent integration generation method and system based on multi-source data analysis, and the method comprises the following steps: S1, multi-source heterogeneous report access and multi-modal analysis: accessing multi-source heterogeneous report data of a plurality of different sources by configuring different data interface adapters; extracting field names, text contents, visual layout structures and format features of the report at the same time by utilizing a multi-modal analysis model, and fusing the field names, the text contents, the visual layout structures and the format features to generate a comprehensive field representation; s2, field semantic enhancement and vectorization are carried out; s3, performing dynamic spectral clustering based on multi-feature fusion similarity; s4, constructing a wide table and performing conflict resolution; and S5, performing output and feedback optimization. According to the invention, more intelligent integrated generation of the multi-source data report is realized.

This utility model discloses an automated processing device for pallets after injection molding, including a first three-axis handling assembly, a square tube mounting platform, a square tube mounting component, a conveyor belt, a vibratory feeder, a six-axis robot, a pallet flipping assembly, and a palletizing assembly. One end of the hoisted first three-axis handling assembly is positioned above the square tube mounting platform, and the other end is positioned above the injection molding machine. The square tube mounting assembly is positioned beside the square tube mounting platform. A sprue cutting station is provided on the conveyor belt, and the six-axis robot and the pallet flipping assembly are respectively positioned on either side of the sprue cutting station on the conveyor belt. A sprue shearing fixture is provided at the end of the six-axis robot. The vibratory feeder is positioned beside the six-axis robot, and the palletizing assembly is positioned above the end of the conveyor belt. This achieves automated processing of pallets after injection molding, reducing labor costs and increasing work efficiency.

This invention discloses a water body extraction system and method based on dilated convolution and dynamic serpentine convolution, belonging to the field of remote sensing image processing technology. The method includes: firstly, acquiring historical remote sensing images and performing preprocessing such as radiometric correction, orthorectification, and image fusion to construct a dataset containing water body mask labels; then, constructing a deep learning network model, using a residual multi-scale network for multi-scale feature extraction, integrating features at different levels through a multi-scale feature fusion module, and enhancing the feature extraction capability for narrow water bodies using a dynamic serpentine convolution and attention fusion module; training the network using a training set, and optimizing the model parameters using a cross-entropy loss function and backpropagation algorithm; finally, applying the trained model to the remote sensing image of the water body to be extracted to achieve automatic and accurate extraction of water body information; this invention effectively solves the problems of feature loss in small water bodies and difficulty in extracting narrow water bodies, significantly improving the accuracy and completeness of water body extraction.

The invention relates to a semi-finished cigarette carton processing device which comprises a conveying mechanism, an opening mechanism, a code scanning mechanism and a carton sealing mechanism, the opening mechanism, the code scanning mechanism and the carton sealing mechanism are sequentially arranged in the carton conveying direction of the conveying mechanism, the opening mechanism comprises a first mounting frame and an edge folding plate, and the edge folding plate is arranged above the conveying mechanism; the flanged plate is detachably connected with the first mounting frame, and the flanged plate is used for being in contact with the strip box to open an opening of the strip box; the semi-finished cigarette carton processing device further comprises a waste station, the waste station communicates with the code scanning mechanism, the code scanning mechanism is used for scanning the cartons and dividing the cartons into qualified products and processed products, the conveying mechanism can move the qualified products to the carton sealing mechanism, and the code scanning mechanism can move the processed products to the waste station. And the box sealing mechanism is used for packaging and forming the openings of the qualified products. The semi-finished cigarette cartons are automatically processed, the processing efficiency of the semi-finished cigarette cartons is improved, the code scanning comparison accuracy is improved, and the cartons of different models can be subjected to code scanning processing.

This invention discloses a method, apparatus, storage medium, and electronic device for improving the source bandwidth, comprising: acquiring seismic data from different energy levels using different source excitation methods; performing frequency analysis on the seismic data, statistically analyzing the energy distribution of each frequency component, and plotting spectral curves; normalizing the spectral curves to generate normalized amplitude spectra; determining the intersection point of the spectra of the two energy levels in the normalized amplitude spectrum, and using this intersection point as a boundary to extract the low-frequency region of the high-energy-level data and the high-frequency region of the low-energy-level data; assigning maximum amplitude values ​​to the frequency components of the extracted high-frequency and low-frequency regions respectively, and then superimposing them to generate broadband seismic data; and designing the source excitation ratio based on the generated data results. According to the method, apparatus, storage medium, and electronic device of this invention, seismic data can be superimposed to obtain seismic data that more closely approximates reality, and the excitation ratio can be precisely designed based on the seismic data.

The invention provides a transformer oil aging discrimination method combining spectrum self-supervised noise reduction and topological dimensionality reduction, which comprises the following steps: firstly, collecting original Raman spectrum data of transformer oil, and carrying out denoising processing on the original Raman spectrum data by using a Noise2Self denoising model to obtain enhanced spectrum data; secondly, non-linear dimensionality reduction is carried out on the enhanced spectrum data by using a UMAP algorithm, and key topological characteristics reflecting oil degradation characteristics are extracted; inputting the key topological features into an integrated classification model, and fusing the output probabilities of a plurality of heterogeneous classifiers by the integrated classification model based on a weighted soft voting mechanism to obtain a final aging state evaluation result; and finally, performing association analysis based on the key topological characteristics and the evaluation result to obtain an interpretable conclusion. The method effectively improves the extraction precision and discrimination robustness of the aging characteristics under strong background noise, and provides reliable physical explanation for the transformer oil paper insulation state.

The application relates to the technical field of agricultural product processing equipment, in particular to an automatic agricultural product processing system which comprises a rack, a material conveying assembly arranged on the rack, a root processing assembly, an agricultural product cleaning assembly, an airflow type quality sorting assembly and a finished product pushing assembly. The root processing assembly comprises a cutting motor and a cutter. The agricultural product cleaning assembly is used for cleaning the surface of agricultural products. The airflow type quality sorting assembly is used for sorting agricultural products in an airflow mode. The finished product pushing assembly is used for pushing the sorted agricultural products out of a lower conveying belt. A wastewater circulating assembly comprises a wastewater collecting mechanism, a water flow energy storage mechanism and a cutter cleaning mechanism. The automatic agricultural product processing system provided by the application realizes efficient, flexible and energy-saving primary processing of agricultural products through multi-process cooperation and a wastewater energy recycling mechanism.

The invention discloses a semantic sorting method and recognition system for a hydraulic cylinder engineering drawing table, and the method comprises the following steps: carrying out the structure extraction of a table in a hydraulic cylinder engineering drawing, and obtaining the boundary frame coordinates and geometric attributes of each cell; executing optical character recognition and engineering symbol correction on the image area of each cell to obtain a text recognition result; according to geometric attributes, respectively screening cross-row merging cells and cross-column merging cells, respectively calculating affiliations and relative orientations of the cross-row merging cells, the cross-column merging cells and corresponding subcells based on geometric matching degrees, and establishing affiliation mapping; on the basis of affiliation mapping, sequentially executing right orientation post-adjustment, left orientation pre-adjustment, lower orientation post-adjustment and upper orientation pre-adjustment, and generating an ordered sequence of cells; and outputting a structured table data file according to the ordered sequence and the text recognition result.

The application discloses a mouse depression-like behavior monitoring system and relates to the technical fields of animal behavior experiment and monitoring, and comprises a collection module, an adjustment module, an analysis module and an evaluation module.The collection module is used for collecting video information, physiological signals and environmental information to obtain physiological characteristic data and environmental characteristic data;in one of the embodiments, a high-definition camera is arranged on the top of a transparent observation box and used for collecting overhead and side video information of the mouse.The collection module collects the video information of the mouse through the camera and sends the video information to the analysis module;the video information, the physiological signals and the environmental information are automatically collected through the collection module, multi-source data is synchronously collected, the limitation of traditional methods which only rely on single behavior data is broken through, the data is more comprehensive, the evaluation accuracy is improved, more abundant and stereoscopic information is provided for the evaluation of the depression-like behavior, and one-dimension evaluation is avoided.