165results about How to "Achieve coverage" patented technology

The invention discloses a visual detection system for an automobile door panel assembly, and relates to the technical field of automatic detection, and the visual detection system comprises the steps: installing a high-precision industrial camera, and carrying out the synchronous collection of the multi-view image data of an automobile door panel; preprocessing the acquired multi-view image data of the automobile door panel; carrying out detail enhancement on the preprocessed multi-view image data of the automobile door panel by adopting a super-resolution algorithm; integrating the enhanced multi-view image data of the automobile door panel into an automobile door panel panorama through binocular stereoscopic vision matching, and constructing an automobile door panel three-dimensional model; the automobile door panel three-dimensional model is compared with a standard automobile door panel three-dimensional model, and the buckle defect in the automobile door panel is recognized; and carrying out position marking and defect type analysis on the identified defect points, and generating an automobile door panel detection report according to the defect type analysis. According to the invention, details are enhanced by using a super-resolution algorithm, defects are accurately positioned by using a three-dimensional model, and the detection efficiency and accuracy are improved.

The invention discloses an advertisement compliance knowledge question-answering method, device and equipment for foreign enterprises, and the method comprises the steps: obtaining advertisement compliance data of a global data source, carrying out the document structuring and knowledge extraction of the advertisement compliance data, and constructing an advertisement compliance knowledge graph; converting text data in the advertisement compliance knowledge graph into vectors to obtain vector data; semantic analysis is conducted on a query question input by a user, construction is conducted in combination with the vector data, prompt words are obtained, the prompt words are input into a preset large language model, and target answers are obtained; and outputting the target answer based on the advertisement compliance knowledge graph, and visually displaying the target answer in a corresponding answer query graph. And comprehensive and efficient compliance information query and answer services can be provided, so that compliance review requirements of foreign enterprises on advertisements in a multi-language and cross-regional environment can be met.

The invention provides a dual-motor automatic feeding core drilling machine and a control method thereof. A main shaft motor module and a feeding motor module of the automatic feeding core drilling machine are distributed on the two sides of a rotary feeding composite module, and the main shaft motor module and the feeding motor module are mechanically connected at the tail end of a driving motor. And the automatic feeding drill controller and the composite cable connector are concentrated on the right lower side of the equipment. The main shaft motor module and the feeding motor module respectively provide power sources for the rotating motion and the feeding motion of the screw rod for the rotating and feeding composite module, so that the rotating speed and the feeding speed of the screw rod are controlled; the screw rod drives the drill bit to do controlled rotary feeding motion, and drilling machining is completed; the main shaft motor realizes output of two power transmission paths of the main shaft motor module through switching of forward rotation and reverse rotation, and realizes invariable-speed output and 2.5-3.6-time acceleration output of the main shaft motor module through cooperation of different gear sets. Coverage of different rotating speeds and feeding speeds can be achieved on the gear set layout, and a stable closed structure, a reasonable hand holding space and a convenient operation mode are achieved.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The aluminum profile sheet weld joint welding device comprises a welding mechanism, the welding mechanism comprises a welding equipment body, the bottom end of the welding equipment body communicates with a material injection hopper, the bottom end of the material injection hopper communicates with a welding main pipe, and the welding main pipe is electrically connected with the welding equipment body through an external power source; a protection mechanism is arranged at the bottom end of the welding main pipe, the protection mechanism comprises a pressing plate installed at the bottom end of the welding main pipe, a filtering assembly is arranged in the pressing plate, and the filtering assembly comprises a box body installed in the pressing plate. Welding defects caused by water or impurities are effectively prevented, gas in a welding area can be effectively exhausted, air holes generated in the welding seam repairing process are reduced, the compactness and strength of a welding seam are improved, and the reliability and durability of a welding joint are ensured.

According to the multi-gesture interaction method and system based on the human-computer interaction technology, a user wears a head-mounted display, gesture actions of the user are captured through a camera or a depth sensor of the head-mounted display, and the captured gesture actions are analyzed into interaction instructions; and the head-mounted display sends the interaction instruction to the equipment, and the equipment identifies the interaction instruction and executes corresponding operation on the model according to the interaction instruction. Through multi-gesture recognition and interaction control, all-around functions of model grabbing, rotating, zooming, disassembling, resetting and menu management are achieved. The method is smooth in operation and easy to use, and supports seamless switching of various scenes. Through the compatibility with the head-mounted display device and various input devices, the user can freely control the virtual content in a single-person or multi-person cooperation mode, and the interaction efficiency and immersion are improved.

The invention relates to the technical field of polar region ships, in particular to an icebreaker bow strength dynamic evaluation method based on regression analysis. According to the method, corresponding simulation databases are constructed on the basis of three ice condition scenes, the structural stress response extreme value and the measuring point stress extreme value of the icebreaker bow are set as safety evaluation and early warning indexes, and on the basis of simulation data of the icebreaker bow stress response, the safety evaluation and early warning of the icebreaker bow stress response are achieved. A regression analysis method is applied to optimization of a simulation fitting model, polynomial fitting optimization is carried out on a structural stress response extreme value and a measuring point stress extreme value, the fitting precision and effectiveness are greatly improved, an optimal polynomial mapping model of the structural stress response extreme value and the measuring point stress extreme value is obtained, and the structural stress response extreme value and the measuring point stress extreme value are optimized. Safety evaluation and early warning can be carried out more quickly, and the safety and high efficiency of the icebreaker working in the ice area are ensured.

The utility model provides a satellite antenna structure and a satellite communication device, and relates to the technical field of satellite communication. The satellite antenna structure provided by the utility model comprises a plurality of antenna array surfaces, the angles of the plurality of antenna array surfaces are different, and the plurality of antenna array surfaces can work independently; each antenna array surface is used for forming a beam coverage area; according to the invention, the corresponding wave beam coverage areas are respectively formed at different angles through the plurality of antenna array planes, so that the whole airspace is correspondingly divided into the plurality of sub airspaces, the coverage of the whole airspace is realized, the scanning range is improved, the angle required by each antenna array plane during scanning is reduced, the scanning loss generated during large-angle scanning is reduced, and the scanning efficiency is improved. The antenna gain is improved; and secondly, the plurality of antenna array surfaces can independently work to generate wave beams, so that the satellite antenna structure can generate a plurality of wave beams at the same time, thereby obtaining a wider wave beam coverage range at the same time, and improving the scanning efficiency.

The invention discloses a key area intelligent monitoring system based on communication towers, and relates to the field of communication technology, IoT and intelligent monitoring, and the key area intelligent monitoring system is characterized in that each communication tower is provided with a front-end sensing layer; the front-end sensing layer is used for acquiring sensor data of a key area and preprocessing the sensor data to generate preprocessed data; the channel transmission layer is used for transmitting the preprocessed data to the data processing and analyzing layer; the data processing and analysis layer is used for generating a self-adaptive abnormal behavior recognition model based on a machine learning model library, processing the preprocessed data according to the self-adaptive abnormal behavior recognition model, analyzing abnormal behaviors and generating a data analysis result; the application service layer is used for transmitting the data analysis result to the mobile terminal and formulating an early warning strategy according to abnormal behaviors in different scenes; the early warning strategy comprises an early warning threshold value and a response rule. According to the invention, comprehensive coverage of a monitoring area, rapid monitoring response and timely data processing can be realized.

The utility model relates to the field of disposable hygienic product equipment, in particular to a novel composite absorption core forming device which comprises a first forming device, a second forming device and a winding device for a composite absorption core, a fluffy cotton input mechanism used for conveying fluffy cotton, a first non-woven fabric input mechanism used for conveying first non-woven fabric and a second non-woven fabric input mechanism used for conveying second non-woven fabric are arranged on one side of the first forming device. A separating mechanism used for separating the first non-woven fabric from the fluffy cotton is arranged between the first forming die wheel and the second forming die wheel, and the separating mechanism separates the first non-woven fabric and the primary composite fabric. The technical problems that in the prior art, when macromolecules are added to the composite non-woven fabric, working efficiency is low, and stability is poor are solved.

The invention discloses an intelligent automatic watering robot system and an automatic water drying control method thereof, and aims to solve the problem of inconvenience in plant irrigation in existing family garden nursing. The system is composed of a watering robot and a base, wherein the watering robot comprises a machine body cabin, a water storage tank, an energy storage module and a control unit. A water drying module is arranged in the machine body cabin, various spraying modes can be switched according to different plant requirements, and uniform irrigation is ensured. In order to realize efficient path planning and obstacle avoidance, the sprinkling robot is equipped with a radar module, and sensors monitor the surrounding environment in real time and feed data back to the control unit. And obstacles are avoided while the whole garden area is covered. When the water amount in the water storage tank is lower than a preset threshold value, the control unit triggers low-water-level alarm and guides the watering robot to return to the base for water supplementing and charging.

The embodiment of the invention discloses a potential risk data screening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining risk data and potential risk data, the risk data being data monitored by a risk monitoring system, and the potential risk data being data not included in the monitoring range of the risk monitoring system; inputting the risk data and the potential risk data into a pre-trained risk prediction model, and calculating a plurality of similarity matrixes through a plurality of association prediction algorithms in the risk prediction model, the similarity matrixes being used for representing a potential association relationship between the risk data and the potential risk data; weighting the plurality of similarity matrixes based on the target weighted value to obtain a comprehensive similarity matrix; and according to the comprehensive similarity matrix, target potential risk data is screened out from the potential risk data, and the target potential risk data is data having an association relationship with the risk data.

The invention discloses an intelligent identification and evaluation system and method for detecting surface magnetic powder defects, and relates to the technical field of image processing. The technical problems that in the prior art, traditional magnetic powder detection depends on manual visual inspection, subjectivity is large, efficiency is low, fatigue is prone to occurring, and the detection result is large in uncertainty and subjectivity due to the fact that the traditional magnetic powder detection is affected by the state, vision and experience of operators are solved. According to the technical scheme provided by the invention, the intelligent identification and evaluation system for detecting the surface magnetic powder defect comprises a module for acquiring a digital image of a detection area; the module is used for preprocessing the digital image; a module for identifying potential defects in the preprocessed digital image; a module for identifying the position of the identified defect; and when the defect reaches a preset alarm condition, an alarm module is triggered. The device is suitable for detection of surface magnetic powder defects.

The invention relates to the technical field of underwater robot formation, in particular to an underwater unmanned underwater vehicle cluster defense confrontation method, which utilizes an underwater unmanned cluster to make up the defect of insufficient functions of a single platform by means of the number advantage, and aggregates various underwater platforms with different functions to form a common body capable of completing a given task together; a traditional expensive large manned platform is replaced by a large number of small-size low-cost distributed unmanned platforms, and the distributed unmanned platform has the advantages of being high in efficiency, low in cost, reconfigurable and capable of executing multiple tasks, is used for underwater defense and resistance, and can greatly increase the underwater reconnaissance search range and improve the response speed and the confrontation effect.

The invention discloses a marine main engine cabin entering simulation method and system based on multi-view measurement. The method comprises the following steps: acquiring cabin space depth image information through multiple view angles, constructing cabin environment three-dimensional point cloud data, and unifying multi-view angle point clouds to the same global coordinate system based on camera calibration; performing accurate fusion on the multi-view point clouds by adopting a point cloud registration algorithm which introduces a dynamic weight and a local rejection mechanism, and extracting a boundary of an effective space of a cabin by utilizing an alpha-shape algorithm; motion trail modeling is carried out on the main engine cabin entering process, meanwhile, rapid real-time calculation of the minimum gap between a main engine envelope body and a cabin boundary is achieved by constructing a gridding distance field of a cabin space, and therefore whether the risk of collision or insufficient space exists in a given cabin entering path of a main engine or not is judged. According to the invention, high-precision, high-efficiency and high-real-time host entry space verification can be realized in a complex and narrow in-cabin environment, and reliable technical support can be provided for optimization and decision-making of a marine host entry scheme.

The invention discloses a disabled training support evaluation system, and relates to the technical field of disabled training, and the system comprises a multi-dimensional evaluation module, a quantitative evaluation module, a qualitative evaluation module, and a visual report module. According to the system, a multi-dimensional comprehensive evaluation system including knowledge mastering, skill application, learning attitude and emotion development is constructed, the learning effect of the disabled students is comprehensively covered, and the multi-dimensional evaluation not only pays attention to the knowledge and skill levels of the students, but also deeply investigates the learning attitude and emotion development conditions of the students, so that the learning efficiency of the disabled students is improved. Therefore, one-sidedness possibly brought by single-dimension evaluation is avoided, meanwhile, the system adopts a qualitative and quantitative combined mode, interference of subjective judgment is reduced, objectivity and accuracy of evaluation results are ensured, the comprehensive and objective evaluation system provides more accurate and reliable feedback for trainees and trainees, and the training efficiency is improved. And the two parties can better understand the learning progress.

The invention relates to the technical field of sensitive information system security monitoring, in particular to an AI-based sensitive information system security situation intelligent monitoring method, which comprises the following steps of: determining a network operation evaluation value by monitoring a throughput smooth value, a delay fluctuation value and an abnormal flow value of a network layer; a user behavior evaluation value is determined by monitoring a behavior influence value of a user layer, an external environment evaluation value is determined by monitoring a vulnerability fluctuation value and an attack intensity value of an external layer, a security value of a system is determined by integrating the evaluation values of the three layers, then security value data of a time sequence is extracted, a security trend coefficient is calculated and compared with a threshold value, and the security trend coefficient is calculated. The method comprises the following steps: detecting safety abnormity, if abnormity is detected, calling related safety state parameters, calculating a trend coefficient, comparing the trend coefficient with a corresponding abnormity contrast interval, and generating an early warning signal, so that intelligent real-time monitoring and early warning of the safety situation of the sensitive information system are realized, and the safety and stability of the system are improved.

The invention relates to the technical field of automatic machining, and particularly provides a screw locking detection method and device. The screw locking detection method comprises the steps of obtaining a locking parameter set in a screw locking process, performing feature extraction on the locking parameter set to obtain locking features corresponding to each locking stage included in the screw locking process, and determining a locking detection result corresponding to the screw locking process according to the locking features of each locking stage. In the embodiment of the invention, the screw locking effect can be detected in real time in the screw locking process of the automatic screw locking machine, the coverage of the whole screw locking process is realized, and compared with a manual mode, the detection efficiency and reliability are improved, the detection cost is reduced, and the detection efficiency is improved. And the locking detection result is obtained through the divided locking characteristics of the plurality of locking stages, so that the detection accuracy of the screw locking effect is improved.

The present invention relates to a COB module packaging method, comprising: S10: providing a COB substrate, the COB substrate including an array composed of a plurality of light-emitting chips; S20: uniformly dispensing glue on the non-light-emitting chip area of ​​the COB substrate, and dripping opaque glue in parallel in each gap of the array to form a plurality of glue strips; S30: a plurality of glue strips are self-leveled on the COB substrate to form a first glue layer with a thickness of 0.02-0.5 times the height of the light-emitting chip; S40: using transparent glue to cover the first glue layer and the upper half of the light-emitting chip to form a second glue layer. The present invention divides the stacked glue into multiple rows and dispenses them on the COB module, so as to achieve full coverage of the COB module after the glue is self-leveled. The self-leveling relies on the self-weight of the glue to flow to form a flat and smooth surface, which can ensure that the thickness of the first glue layer is uniform, and the surface of the first glue layer is smooth and flat, and the appearance display effect is good.

The invention discloses a marine environment spatial data retrieval method, which comprises the following steps of: acquiring to-be-processed initial data of a marine environment, preprocessing the to-be-processed initial data, and storing the preprocessed to-be-processed initial data in a uniform data format required in a network mapping process to obtain initial data; performing network mapping processing according to the initial data to obtain a corresponding grid index; according to the method, the to-be-retrieved data is obtained, retrieval is performed according to the to-be-retrieved data and the grid index, and the corresponding retrieval result is obtained, so that comprehensive coverage and fine division of the marine environment spatial data are realized, and a solid foundation is provided for rapid retrieval of the marine environment spatial data; the system can realize conversion with information systems under various existing technical systems, and is convenient for cross-industry and cross-department information sharing and efficient service.

The invention provides a power grid flow data acquisition and analysis method, and the method comprises the steps: determining an acquisition channel matched with to-be-acquired flow in response to a flow acquisition starting command; collecting flow to be collected through the collection channel, and preprocessing the collected flow data; analyzing the preprocessed flow data to obtain service data; calculating related business indexes according to the business data, and performing early warning on related businesses according to a calculation result; performing correlation analysis and traceability analysis on each business index and the data factor thereof, and visually outputting a correlation analysis result and a traceability analysis result; according to the invention, the traffic data can be received through multiple channels, the comprehensive coverage and real-time monitoring of the network traffic are realized, the data of different channels are captured at the same time, and the integrity and diversity of the data are ensured; the system is suitable for power systems.

The embodiments of the present invention disclose a testing method, apparatus, device and storage medium, which relate to the field of testing technology. The method comprises: reading at least two test scenario parameter groups from a data source, and based on at least one scenario generation logic, generating at least two test scenario data according to the at least two test scenario parameter groups read; generating simulation objects of at least two test scenarios according to the at least two test scenario data; inputting the simulation objects of the at least two test scenarios into the logic to be tested; and determining the test result of the logic to be tested according to the output result of the logic to be tested. The embodiments of the present invention provide a testing method, apparatus, device and storage medium, which realize the simulation of simulation objects of multiple test scenarios based on a single scenario generation logic.

This invention belongs to the field of microwave communication technology, specifically relating to a PIFA antenna for 5G dual-band coverage. The invention includes a rectangular metal patch on a top surface, a substrate, and a metal ground plane stacked from top to bottom. A row of grounding vias is disposed through the substrate, and this array of grounding vias is located at the lower end of one side of the rectangular metal patch on the top surface. A coaxial feeding structure is disposed below the rectangular metal patch on the top surface. The antenna excites its fundamental mode TM through the coaxial feeding structure. 0.5,0 Mode and three higher-order modes TM 0.5,1 Pattern, TM 0.5,2 Pattern, and TM 0.5,3 The pattern includes a rectangular metal patch on the upper surface with a first slot along its vertical center line; the first slot has an opening on the side furthest from the grounding via for adjusting the TM. 0.5,1 Pattern and TM 0.5,3 The resonant frequency of the mode; a pair of second slits are orthogonally arranged on both sides of the first slit; the second slits are used to modulate the TM. 0.5,0 Pattern and TM 0.5,2 The resonant frequency of the mode. The antenna design proposed in this invention has advantages such as simple structure, relatively wide dual-band coverage, small size, and low profile.

The invention belongs to the technical field of electrical monitoring, and particularly relates to a railway traction substation three-dimensional visual monitoring system, which comprises a data acquisition unit, a data processing unit and a data feedback interaction unit, and is characterized in that the data acquisition unit is used for acquiring working condition data of electrical equipment in a railway traction substation; comprising a fixed acquisition module and a mobile acquisition module; according to the invention, image information acquisition is carried out on dead corners which are difficult to cover by the fixed acquisition module through the mobile trolley, comprehensive coverage and full monitoring of the railway traction substation are realized under dynamic and static cooperation mutual verification, and the safety and reliability degree of information acquisition is improved; moreover, when the information acquisition devices corresponding to the fixed acquisition modules in part of the areas break down, the mobile trolley can be controlled to go to the fault area as a supplement, so that the blank of a monitoring network is filled, and the anti-risk capability of the whole railway traction substation monitoring system is improved.

The present invention relates to a quality detection device for oral liquid of Chinese patent medicine, which integrates pretreatment, infrared spectrum, fingerprint spectrum, ultraviolet visible spectrum detection module and cloud analysis feedback system. Intelligent pretreatment is used to ensure sample suitability, multi-spectral technology is used to comprehensively analyze components, cloud database and random forest algorithm are combined, and types are quickly subdivided according to absorbance, peak position shift and area change are quantified in detail, and finally the quality grade is determined and feedback is given to users in real time. The system improves detection efficiency and accuracy, and strengthens the intelligent level of quality control of Chinese medicine.

The utility model provides a kind of electric hair dryer, it includes shell and hair dryer piece.The electric hair dryer of the utility model, shell inside is equipped with multiple independent air duct, each air duct independently sets air inlet, air outlet and hair dryer piece, airflow can independently circulate in respective air duct inside, effectively ensure the air speed, air pressure stability of each direction air outlet, improve overall hair drying efficiency;And, the air outlet direction of the air outlet passage formed by the electric hair dryer corresponding multiple air ducts is different, so that user can realize the coverage of multiple area airflow without frequently adjusting the position of electric hair dryer, to make airflow distribution more uniform, range more extensive, to effectively cover the different area of object to be blown dry, improve user's use experience.

The utility model provides an integrated network coverage device which comprises a power supply module, a communication service module and a satellite end station module. The power supply module supplies power to the communication service module and the satellite end station module. The communication service module is used for connecting to-be-accessed terminal equipment, and the communication service module is connected with the satellite end station module; and the satellite end station module comprises a satellite antenna which is in communication connection with the communication satellite. The system has the advantages of being high in environment adaptability, easy to transport and capable of being used after being opened, and network coverage can be rapidly achieved.

The application relates to a traditional Chinese medicine constitution identification method based on Al tongue surface image analysis, and the method comprises the following steps: collecting tongue surface information and inquiry information of a user, and identifying and obtaining tongue surface joint features; collecting time sequence data of the user, calculating time sequence mutual information, combining constitution theory knowledge constraints, grading determining the correlation level and weight of the tongue surface joint features and each constitution, and constructing a dynamic weight mapping relationship; performing weighted accumulation calculation on the tongue surface joint features combined with the inquiry information to obtain original scores of each constitution; constructing a constitution correlation knowledge base, quantifying conflict values between each constitution based on a light AI constitution correlation classification model, eliminating conflict constitutions through Bayesian probability fusion, obtaining calibrated constitution scores, and performing constitution determination. The application realizes objective constitution quantification under multi-dimensional feature fusion, constructs a weight mapping system graded according to the correlation closeness, significantly improves the accuracy of constitution identification, and effectively avoids invalid calculation and repeated elimination in constitution identification.

The embodiment of the invention discloses a heat supply water network energy efficiency system optimization method and system based on artificial intelligence, and the method comprises the steps: building a heat supply operation knowledge network comprising a plurality of energy efficiency monitoring knowledge points, building a target knowledge association link between knowledge elements according to the cooperation characteristics of heat supply operation activities under a time sequence, and carrying out the optimization of the energy efficiency system of a heat supply water network. According to the invention, comprehensive coverage and refined description of energy efficiency monitoring knowledge points of the hot water supply network unit in the operation process are realized, and deep optimization evaluation is carried out on the energy efficiency of the hot water supply network unit through the target artificial intelligence model. Therefore, whether the to-be-detected hot water supply network unit needs to be subjected to energy efficiency optimization in the system tracking optimization stage or not can be accurately judged, so that making and implementation of an energy efficiency improvement strategy of the hot water supply network are effectively guided, the overall energy efficiency level of the hot water supply network system is remarkably improved, energy consumption is reduced, and the environmental protection target of energy conservation and emission reduction is achieved.

The invention discloses a mandibular canal segmentation method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring an oral maxillofacial region image; cutting the oral maxillofacial region image to obtain a plurality of local images of the mandible; inputting the plurality of local images into a mandibular canal segmentation model, and outputting to obtain a segmentation result; the mandibular canal segmentation model comprises an encoder, a decoder and a feature fusion module, three two-dimensional convolution branches are configured on three orthogonal projection planes in the feature fusion module, and each two-dimensional convolution branch can obtain boundary information, center trend and local bending features of the mandibular canal on different orthogonal planes and fuse the boundary information, the center trend and the local bending features to obtain multi-view features; and fusing the multi-view feature and the local texture feature to obtain an enhanced feature, fusing the local texture feature and the enhanced feature by a decoder, and outputting to obtain a segmentation result. And through the feature fusion module, comprehensive coverage of multi-view geometric features is realized, and the problems of segmentation fracture and boundary blur caused by single feature extraction are effectively avoided.