611results about How to "Ensure smoothness" patented technology

The invention discloses an AIGC multi-mode audio-visual content creation method and system, and belongs to the technical field of multi-mode audio-visual content generation and automatic creation, the AIGC multi-mode audio-visual content creation method comprises the following steps: an input module for inputting text description and materials required by creation by a user; the AIGC generation module is used for converting the text description and the material input by the user into a video sequence and a music clip; the multi-modal fusion and alignment module fuses and aligns the generated video sequence and the music clip to obtain an audio / video; the video intelligent editing module is used for splicing the segments of the audios and the videos and keeping visual coherence and smooth connection between the two audios and the videos; and the output module is used for outputting the generated audio and video as the media format required by the user. The method solves the problems that in the prior art, multi-modal audio-visual content creation lacks the ability of cross-modal cooperative work, the content generated during multi-modal information fusion and alignment is inconsistent in rhythm, semantics and emotion, the support of a later editing process is lacked, the content connection is not natural enough, and the creation speed is low.

The invention relates to the technical field of information synchronization, in particular to a cross-platform electronic communication synchronization system, which comprises a network construction and path optimization module for collecting basic network parameters of communication equipment of a plurality of platform networks, obtaining cross-platform network data according to the basic network parameters, selecting an optimal transmission path according to the cross-platform network data, and transmitting the optimal transmission path to a server; and generating real-time optimized path information. In the invention, the basic network parameters of the communication equipment of the plurality of platform networks are collected, the cross-platform network data are acquired, the edge weight is dynamically updated according to the delay and the bandwidth, and the optimal transmission path is selected based on the network state, so that the effect of efficiently utilizing network resources is achieved, and the real-time performance and the accuracy of synchronous data transmission are remarkably improved. The to-be-synchronized data is classified and subjected to priority setting, and the data processing sequence is adjusted in combination with the real-time network data, so that accurate scheduling of the synchronization task is realized, the delay and conflict problems in data transmission are reduced, and the efficiency and reliability of data synchronization are improved.

The invention relates to the technical field of multimedia interaction, in particular to an intelligent interaction control method and system for digital exhibition hall multimedia equipment, and the method comprises the following steps: S1, carrying out the arrangement of a sensor, and carrying out the intelligent sensing and data collection; s2, generating an intelligent interaction strategy; s3, equipment cooperative control and execution; and S4, performing real-time feedback and system optimization. According to the method, user behaviors and environment data are collected in real time through the multi-modal sensor, user requirements are accurately speculated in combination with a deep learning algorithm, the optimal interaction strategy and task priority are generated, individuation and interaction efficiency of user experience are remarkably improved, multi-device cooperation is optimized through distributed task scheduling, and user experience is improved. According to the method, display content and environment parameters are dynamically adjusted, self-optimization of the system is realized by utilizing user feedback, real-time performance, smoothness and reliability of interactive experience of the exhibition hall are ensured, rapid fault response and accurate maintenance demand prediction are realized through anomaly detection and equipment log analysis, and the stability and sustainability of operation of the exhibition hall system are greatly improved.

The invention discloses a geoscience language question and answer large model construction method, system and device based on enhanced low-rank self-adaption and a medium, and the method comprises the steps: collecting geoscience data, and carrying out the preprocessing of the geoscience data, and obtaining a geoscience data set; classifying the geoscience data set to obtain a geoscience text data set and a geoscience question and answer data set; inputting the geoscience text data set into a corresponding large language model for training to generate a geoscience large language model; inputting the geoscience question and answer data set into a geoscience large language model for fine tuning, setting an enhanced low-rank adaptive technology, decomposing a plurality of low-rank matrixes and endowing different learning rates to optimize parameter adjustment, and finally adding a DeepSpeed acceleration framework to generate a geoscience language question and answer large model; performing score evaluation and continuous optimization on the geoscience language question and answer large model generated by training to obtain a weight file of an optimal score; the system, the equipment and the medium are used for implementing the method. According to the method, the accuracy and generalization ability of the model are improved while resources required by calculation are greatly reduced.

The invention relates to the technical field of space positioning and path planning, in particular to a three-dimensional space positioning and path planning method for an unmanned aerial vehicle tower. The method comprises the following steps of performing accurate longitude and latitude height data acquisition based on a laser range finder to generate accurate longitude and latitude height data; obtaining tower equipment parameters; performing inspection point three-dimensional coordinate calculation according to the tower equipment parameters and the tower three-dimensional coordinate system to generate inspection point three-dimensional coordinate data; cruise point comprehensive constraint range data are obtained according to the unmanned aerial vehicle flight association data and the polling area terrain data, and cruise point comprehensive constraint range data are generated; performing cruise node three-dimensional coordinate design on the three-dimensional coordinate data of the inspection point according to the cruise point comprehensive constraint range data to generate cruise point three-dimensional coordinate data; and performing optimized cruise path planning processing according to the cruise point three-dimensional coordinate data to generate optimized cruise path data. According to the invention, more accurate unmanned aerial vehicle tower space positioning and path planning are realized.

The invention relates to the technical field of intelligent education, and discloses an integrated English teaching method and system based on artificial intelligence. The method comprises the following steps: constructing a digital resource library; generating pre-class preview data based on the resource library and the initial cognitive level of the student, analyzing the pre-class preview data and updating the cognitive level; generating classroom courseware based on the resource library and the student updating cognitive level, and analyzing classroom learning data to update the cognitive level again; generating personalized after-class homework based on the resource library and the re-updated cognitive level of the student, and analyzing homework data to finally update the cognitive level; and forming a heavy and difficult comment report based on the resource library and the final cognitive level of the student. Through continuous data collection and analysis, dynamic adjustment of teaching content is realized, pre-class preview, classroom teaching and after-class review are closely combined to form a complete teaching closed loop, teaching pertinence and effectiveness are improved, personalized learning and precise teaching are realized, and the overall effect of English teaching is greatly improved.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses a speech synthesis method based on a gated attention mechanism, and the method comprises the steps: obtaining text data and speech data, converting the text data into a text symbol sequence through a text encoder, speech features of the speech data are extracted through a speech encoder trained based on a self-supervised learning model, and the speech features are quantized into a discrete speech symbol sequence; then, respectively organizing the text symbol sequence and the voice symbol sequence into a text sequence and a voice sequence; the corresponding relation between the text symbols and the voice symbols is established through preliminary alignment processing, the matching degree between the text symbols and the voice symbols is dynamically adjusted through a gating attention mechanism, and finally a final voice signal is generated through a decoder. According to the invention, through the voice encoder trained by the self-supervised learning model, the extraction capability of voice features is effectively improved, and effective feature representation can still be learned from unlabeled data especially in a scene lacking a large amount of labeled data.

The invention discloses an intelligent question and answer method and system based on semantic vector optimization and dynamic prompt, and the method comprises the steps: inputting a target question into a trained question and answer model, and obtaining an answer corresponding to the target question; wherein the trained question and answer model comprises an input layer, an embedded layer, a semantic vector generation module, a feature compression module, a dynamic prompt generation module, an answer generation module, a linear layer and an activation function layer which are connected in sequence; wherein the output end of the feature compression module is further connected with the input end of the RAG retrieval module, and the output end of the RAG retrieval module is connected with the input end of the dynamic prompt generation module; according to the trained question and answer model, the training process comprises the steps that a semantic vector generation module is constructed, and the semantic vector generation module is pre-trained; and setting the pre-trained semantic vector generation module in the question and answer model, training the question and answer model, and when the total loss function value does not decrease any more, stopping training to obtain a trained question and answer model.

The invention discloses a real-time cultural tourism path optimization and adjustment system based on big data analysis, and relates to the technical field of cultural tourism path optimizing.The system comprises an acquisition and analysis module, the acquisition and analysis module is connected with a combination and matching module, the combination and matching module is connected with a path optimization module, and the path optimization module is connected with a data processing module. The path optimization module is connected with an interaction feedback module, and the collection and analysis module is used for collecting tourism behavior characteristic information of tourists in real time by using a big data analysis technology. According to the real-time cultural tourism path optimization and adjustment system based on big data analysis, a personalized model is established, tourism paths can be customized for tourists, unique tourism requirements and preferences of the tourists are met, the satisfaction degree and participation degree of the tourists in the tourism process are improved, the tourism paths can be adjusted in time according to real-time external data, and the tourism efficiency is improved. The tourists are prevented from being caught in unfavorable conditions such as congestion and severe weather, and smooth and efficient travel itinerary is ensured.

The invention relates to the field of intelligent assistance, and particularly discloses an intelligent assistance system for child pneumology department disease diagnosis, which obtains doctor inquiry record information of a to-be-diagnosed child, and in response to existence of auxiliary examination items, obtains auxiliary examination information of the auxiliary examination items of the to-be-diagnosed child, and sends the auxiliary examination information to the to-be-diagnosed child. Carrying out segmentation processing and global semantic coding aggregation on doctor inquiry record information by adopting an artificial intelligence-based image recognition and data analysis technology, and carrying out implicit semantic feature extraction on auxiliary examination information; and intelligently obtaining an auxiliary diagnosis result of the respiratory disease type of the child to be diagnosed according to a cross-modal semantic joint feature between a global semantic aggregation feature of the doctor inquiry record information and an auxiliary examination implicit semantic feature, and displaying the result. Therefore, the accuracy and comprehensiveness of auxiliary diagnosis of children respiratory diseases can be remarkably improved.

The invention discloses a multi-angle video automatic editing method based on content defect detection, and relates to the technical field of video processing. According to the method, multi-track video materials are accurately synchronized to the same time axis through cross-correlation calculation, and flaws in video content are analyzed frame by frame and classified and identified by applying fuzzy detection of a dynamic threshold and combining jitter detection and shielding detection of rotation and displacement estimation. And according to a detection result, an editing scheme is intelligently generated through a dynamic programming algorithm of state transition optimization, high-quality fragments are selected, defective parts are automatically removed, the continuity and multi-view diversity of video contents are reserved, and finally, a high-quality recorded video is generated through integration. The video editing efficiency is greatly improved, the manual intervention requirement is reduced, meanwhile, it is ensured that the quality of the output video meets the professional application requirement, and the method is suitable for multiple scenes such as conference recording, educational training and multi-angle video production and has high practical value and popularization prospects.

The invention relates to the technical field of computers, and relates to a video generation method and device, a computer program product and electronic equipment. The video generation method comprises the following steps: obtaining potential spatial features of a current video frame, wherein the current video frame is obtained by denoising an initial noise image through a diffusion model; decision parameters of a preset decision model are adjusted based on the potential spatial features of the current video frame, the preset decision model is used for generating diffusion parameters, and the diffusion parameters are used for controlling the denoising process of the diffusion model; and based on diffusion parameters generated by the preset decision model after the decision parameters are adjusted, performing denoising processing on the potential spatial features of the current video frame through the diffusion model, and generating a next video frame. The quality of the generated video can be improved.

The invention relates to an intelligent earth-rock filling and digging balance optimization method and system for a water conservancy project. According to the method, firstly, a laser scanner, unmanned aerial vehicle aerial survey equipment and a GPS positioning device are used for carrying out data collection on a construction site, and detailed topographic data and earth-rock distribution information are obtained; subsequently, construction requirements related to the hydraulic engineering are determined, including construction progress, construction sequence, resource availability, environmental limitation, and cost control. And based on the collected data and set construction requirements, a genetic algorithm is used for optimization, and an optimal earth-rock filling and digging balance scheme is generated. The optimization scheme covers a construction route, an equipment scheduling plan and a resource allocation scheme. And finally, hydraulic engineering construction is guided according to the optimization scheme, and efficient balanced filling and excavation of the earthwork are achieved. The construction efficiency is effectively improved, the cost is reduced, reasonable utilization of resources is ensured, and the method is suitable for various complex hydraulic engineering projects.

The invention provides an interactive BIM modeling method and system based on a large model. The method comprises the steps that a target tool set description document corresponding to a target project class is determined; receiving a task instruction input by a user, and performing task splitting by the project class large model according to a task intention of a currently executed task to obtain at least one subtask; the calling project class large model determines a tool calling instruction according to the task intention of the currently executed subtask and the target tool set description document; the tool calling instruction is sent to a tool calling module, and the tool calling module carries out compliance verification on the tool calling instruction; the tool calling instruction is processed, an execution instruction of the BIM application is generated, an execution result is received and returned to the project class large model, and the project class large model presents the execution result to a user. According to the method disclosed by the invention, the BIM modeling task is completed through simple natural language input, the operation complexity can be reduced, and a designer is helped to complete the modeling task more efficiently.

The invention provides a following shot method and system based on smart big data, and relates to the technical field of data processing, and the method comprises the steps: obtaining real-time image data, scene environment parameter data and auxiliary behavior data of a target object; processing the data to generate key frame data, dynamic environment characteristic data, static background characteristic data and behavior characteristic data; calculating an initial position and a motion trend of the target object according to the key frame data and the behavior characteristic data in combination with dynamic environment characteristics, and generating motion prediction data; dividing an activity range of the target object according to the motion prediction data and the static background characteristics, and generating target area planning data; according to the target area planning data, shooting path data is formulated, and a preliminary shooting plan is generated; refining the initial shooting plan into a step-by-step shooting instruction set in a time period; continuously shot pictures and related dynamic data are stored as an extensible multi-dimensional data set; the intelligent effect of following shot is improved.

The invention provides a robot collaborative sewing method and system based on speed look-ahead control. The system comprises an image detection module, a pressure detection module, sewing equipment, a controller and a mechanical arm. The image detection module acquires image information of the fabric in real time and transmits the image information to the controller; the controller processes the image information to generate the position of a pressing point at the tail end and a motion path, introduces speed look-ahead control, optimizes a speed extreme value according to the motion path, completes speed planning of the whole track, and interpolates the planned track to obtain an interpolated result; the controller sends expected force to the pressure detection module, and the pressure detection module outputs the pressing height; the mechanical arm presses the height to execute the action to the fabric based on the interpolation result; the controller sends a control signal to the sewing equipment, and the sewing equipment carries out cloth feeding and sewing; the speed of the sewing equipment is matched with that of the mechanical arm, and cooperative sewing is carried out.

The invention discloses an inter-frame image segmentation method and device based on a recurrent neural network, and a medium, and relates to the technical field of image processing, and the method comprises the steps: extracting the local feature information of a current continuous inter-frame image through a convolutional neural network; constructing a geometric transformation model through the Lie group theory according to the local feature information, and extracting geometric change information of the target object in the image based on the geometric transformation model; based on the geometric change information, fusing the dynamic information of the adjacent inter-frame images through a recurrent neural network to extract time sequence features between the adjacent inter-frame images; and performing segmentation prediction on each inter-frame image in the current continuous inter-frame images through a segmentation network according to the time sequence characteristics. According to the method, the Lie group is used for capturing continuous geometric transformation between image frames, and the accuracy of the shape and the edge of a target object is kept, so that the segmentation method has better robustness for geometric transformation, and particularly, the method is excellent in performance when processing complex backgrounds and rapid motion scenes.

The invention relates to detection equipment and a detection method, in particular to capacitor detection equipment and a detection method thereof. Comprising a machine table, a stepping motor, a station disc, electric clamps, a control table, a connecting frame, a pin detection table, a pin detection plate, a reverse pole reversing mechanism, a test table and a test plate, the stepping motor is arranged in the middle of the top end of the machine table, the top end of the stepping motor is connected with the station disc, the electric clamps are arranged on the lower portion of the station disc in the circumferential direction at intervals, and the control table is arranged on the rear side of the top end of the machine table. The right side of the top end of the machine table is slidably connected with a connecting frame. The top end of the machine table is provided with a pin detection table, an antipole reversing mechanism and a test table at intervals around the station disc. The equipment integrates a whole set of flow from detection to collection of the capacitor, the capacitor is rotated through the pin detection table and the reverse pole reversing mechanism, it is guaranteed that the pins of the capacitor are located on the inner side all the time, and electrical performance detection is conducted on the capacitor through the test table.

The invention provides a double-screen different-display real-time translation machine implementation method and device, and the method comprises the following steps: 1, obtaining and starting a double-screen different-display real-time translation machine, and initializing an SOC SSD2386 chip, two touch screens, a plurality of microphones distributed near the two touch screens and a storage unit of the double-screen different-display real-time translation machine; by adopting a double-screen different display technology, the target language text information can be respectively and clearly displayed on the touch screen of the opposite user, so that the situation of image disorder caused by mixed display of multiple languages on the same screen is avoided, the information reading speed and accuracy of the user are greatly improved, and the communication fluency and efficiency are ensured; according to the method, the target language text information is individually set according to the display preference of the user, the font size, the color and the like are adjusted, and only the translation result required by the opposite user is displayed, so that the interference of irrelevant information on the user is effectively avoided, the user experience is improved, and the smooth communication is promoted.

The invention provides a scrubber which comprises a scrubber body and a floor brush structure arranged below the scrubber body. The sewage tank is arranged on the machine body, and a first storage cavity of the sewage tank communicates with a sewage suction opening of the floor brush structure; the dust collection box is arranged on the machine body, and the sewage tank and the dust collection box are arranged at intervals; the dust collection structure is movably arranged on the machine body, and a dust collection opening of the dust collection structure communicates with the second storage cavity of the dust collection box; when the floor washing machine is in a floor washing mode, dirt on the ground is sucked into the first storage cavity through a dirt suction opening of the floor brush structure; when the scrubber is in the dust collection mode, dust is sucked into the second storage cavity through the dust collection opening of the dust collection structure. By means of the floor washing machine, the technical problem that when a multifunctional floor washing machine in the prior art achieves switching of the floor washing function and the dust collection function, parts need to be replaced is effectively solved.

The invention provides a three-dimensional scene reconstruction method and system based on slam and 3D Gaussian fusion, and the method comprises the steps: S1, carrying out the shooting of a target indoor scene, obtaining an indoor image, obtaining a dense point cloud A, and carrying out the scanning, and obtaining a dense point cloud B; s2, aligning the dense point cloud B to the dense point cloud A to obtain a fused point cloud; s3, processing the fused point cloud to generate a plurality of Gaussian points, and recording a point cloud data point corresponding to each Gaussian point; s4, aligning the normal of each Gaussian point with the normal of the fusion point cloud based on each point cloud data point; s5, limiting the tangent vector distance between the center of each Gaussian point and the center of the fusion point cloud; s6, limiting the normal vector distance between the center of each Gaussian point and the center of the fusion point cloud; and S7, obtaining a reconstructed three-dimensional scene for measuring an image distance between any two points in the three-dimensional scene and converting the image distance into a real distance. The method has the beneficial effect that the visual effect of the three-dimensional reconstruction scene can be improved.

The invention discloses a quantitative cutting mechanism for cable processing, and belongs to the technical field of cable processing, and the quantitative cutting mechanism comprises a rack which is provided with a conveying table; the cable output end is provided with a cut-off assembly. A conveying assembly is arranged on the conveying table and comprises a conveying belt, a plurality of bases are evenly distributed on the conveying belt, two clamping blocks are connected to each base in a sliding mode, and reset springs are arranged on the bases; two guide plates are arranged on the conveying table and located above the conveying belt. According to the invention, the clamping block is combined with the reset spring and the sliding column, so that the clamping block can be automatically opened without external force, and can be automatically closed under the extrusion of the side wall of the guide plate after entering the channel formed by the guide plate, thereby realizing the tight clamping of the cable. By means of the design, the operation process of cable clamping is simplified, the clamping stability is ensured, and slipping or loosening of the cable in the conveying process is avoided.

The utility model belongs to the field of automobile seats, and provides a quick plugging structure of an air bag massage headrest and an automobile seat, the quick plugging structure of the air bag massage headrest comprises an air pipe plug detachably connected to the tail end of a headrest support rod, one end of the air pipe plug is connected with a first air pipe extending into the massage headrest, and the other end of the air pipe plug is provided with a plugging surface; the air pipe socket is movably provided with a bayonet socket, the bayonet socket is connected with a second air pipe extending into the seat, an insertion hole is formed in the bayonet socket, and the insertion surface abuts against the insertion hole; and the sealing element is wrapped on the insertion surface. Compared with the prior art, the quick-plugging headrest has the advantages that the quick plugging function of the headrest is realized by matching the air pipe plug with the plugging surface and the plugging hole in the plugging seat, the quick connection and disconnection between the first air pipe and the second air pipe are ensured, and meanwhile, the sealing element wrapped outside the plugging surface is used for sealing the first air pipe and the second air pipe. The sealing effect when the air pipe plug and the air pipe socket are plugged is ensured, the normal use of the air bag massage headrest is ensured, and the use experience feeling of customers is improved.

The invention discloses a remote control anti-delay video transmission method based on a future scene generation network. The remote control anti-delay video transmission method comprises the following steps: synchronizing time references of a remote control vehicle and a remote cockpit; original video stream data of the environment where the remote control vehicle is located is collected; adding a camera number and timestamp information into the original video stream data; preprocessing the decoded video stream data to generate a plurality of paths of future scenes; generating multiple paths of future scene video stream data; camera numbers and timestamp information are added to the multiple paths of future scene video streams; decrypting, decoding and distributing the data; performing packet loss and time delay detection on the original video stream data, and performing visual quality optimization on the future scene video stream data; and a complete and continuous video stream is formed. According to the method, the delay in video transmission is greatly reduced, and the video content at the future moment can be predicted and generated in advance in future scene generation, so that the video blank possibly occurring due to transmission delay or data packet loss is effectively filled.

The invention discloses an intelligent workshop digital twin modeling and simulation system, and belongs to the technical field of intelligent manufacturing. The system comprises a multi-dimensional workshop modeling and management module, an intelligent analysis and decision module and a data management module. The multi-dimensional workshop modeling and management module dynamically displays and generates a scheduling flow through two-dimensional and three-dimensional models which are highly consistent with the actual workshop layout in combination with a production scheduling scheme; the intelligent analysis and decision module processes and analyzes data by applying a scheduling algorithm, optimizes a production process and updates scheduling information in real time; the data management module is based on a server, transmits and integrates data of the multi-dimensional workshop modeling and management module and the intelligent analysis and decision support module, realizes seamless communication between the modules, and ensures consistency and real-time performance of the data. The combination of the three modules effectively solves the problems of insufficient real-time performance, difficulty in comprehensive reaction of data complexity, poor user experience and the like in the prior art.

The invention discloses a palletizing robot, and belongs to the technical field of palletizing, the palletizing robot comprises a mounting seat, a robot main body is fixedly connected to the mounting seat, a connecting shaft is connected to the robot main body in a penetrating manner, a positioning seat is fixedly connected to the bottom end of the connecting shaft, and a guide sliding strip is slidably connected in the positioning seat. According to the device, the positioning seat, the middle seat, the piston cylinder, the piston plate, the contact clamping plate, the guide sliding strip and the electric hydraulic rod are adopted, along with the action of the contact clamping plate, the middle position of the middle seat is accurately adjusted and moved to the position under a corresponding article, and the article is stably located in the center of the lower portion of the middle seat; compared with the prior art, the goods carrying stability is improved, meanwhile, any collision or inclined contact between the contact clamping plates and the goods is avoided, possible damage to the goods in the carrying process is greatly reduced, high efficiency and safety of stacking operation are guaranteed, and the situation that the goods slide and are abraded on the ground when clamped is avoided.

The invention discloses a multi-person interaction method based on a large-space computing technology, and relates to the technical field of multi-person interaction. In order to solve the technical problem that in the prior art, most of existing multi-user virtual interaction systems depend on a single interaction area, so that the user experience is poor when multiple users interact at the same time, the technical scheme provided by the invention is as follows: a multi-user interaction method based on a large-space computing technology is provided. Comprising the following steps: dividing a virtual space into a plurality of functional areas; controlling the temperature of the interaction area and the non-interaction area in real time; sharing of virtual roles is realized through the cloud computing platform; a sharing conflict coordination mechanism is introduced, an operation request of a user for a virtual role is managed, and conflicts are coordinated; creating a virtual computing space and dynamically allocating computing resources by combining distributed computing and a cloud platform; a digital co-construction and sharing platform is built through a 5G network and a holographic image technology, and multi-user interaction and co-construction and sharing of virtual articles are achieved. The method is suitable for being applied to virtual reality scene building work of multi-person interaction.

The invention belongs to the technical field of electromechanical equipment, and particularly relates to a model cluster chain system applied to operation and maintenance of electromechanical equipment, which can realize the functions of fault prediction, false alarm reduction, decision assistance and the like, and greatly improves the efficiency and the intelligent degree of operation and maintenance work. The model cluster chain system can adapt to equipment of different manufacturers, new and old degrees, service life and environments, complete coverage of an operation and maintenance model is achieved, and meanwhile the generality and individual management requirements of the equipment are considered through construction of generality, intermediate and specific algorithm models. Unnecessary maintenance work is reduced through intelligent operation and maintenance, the operation and maintenance cost is reduced, meanwhile, major faults can be effectively prevented through a real-time monitoring and fault early warning mechanism, and safety management is enhanced. Through introduction of the operation and maintenance management platform, a whole-process closed loop from data acquisition to work order management is realized, systematicness and coherence of operation and maintenance work are ensured, and the overall operation and maintenance management level is improved.

The invention relates to the technical field of unmanned aerial vehicle FPV, in particular to an unmanned aerial vehicle FPV remote sensing audio-visual system and method.The unmanned aerial vehicle captures high-definition image data through a digital image transmission module and transmits the high-definition image data to FPV equipment through an antenna system; the FPV equipment receives the image data through an anti-interference mechanism, and decompresses the image data through an efficient codec; quickly processing the decompressed image data by using a hardware acceleration unit, and converting the decompressed image data into a format which can be displayed by FPV equipment; and the continuity and fluency of the image data are ensured through a caching and buffering mechanism. The digital image transmission module ensures the definition and detail performance of an image, the anti-interference mechanism can effectively resist external electromagnetic interference and ensure stable transmission of image data in a complex environment, the efficient codec and the hardware acceleration unit perform rapid processing on the image data, the caching and buffering mechanism ensures the continuity and smoothness of the image data, and the stability and reliability of the image data are improved. And the user experience is effectively improved.

The utility model discloses a carrying module which comprises a carrying table and an X-axis electric sliding rail, the X-axis electric sliding rail is transversely erected at the top end of the carrying table, an X-axis sliding seat is assembled at the top end of the X-axis electric sliding rail, and a carrying plate is fixedly connected to the top end of the X-axis sliding seat. According to the carrying module, the vacuum and vacuum breaking electromagnetic valve system is arranged and covers the processes of vacuum generation, negative pressure monitoring, vacuum breaking (positive pressure gas is supplied to a suction cup cavity while a vacuum generator is closed) and the like, when the vacuum and vacuum breaking electromagnetic valve system is started, a vacuum suction cup is tightly adsorbed to the surface of a screen, and the screen is sucked in a suspended mode; the screen can be stably carried, damage caused by clamping is avoided, clamp design and assembly are reduced, the size and the position of the vacuum suction cup can be adjusted, suction force of the vacuum generator can be set, safety, stability and flexibility of the screen in the carrying process are guaranteed, and the problem that the screen needs to be carried with a clamp for carrying is solved.