295results about How to "Improve scene adaptability" patented technology

The invention discloses a method for implementing intelligent management and control of a special vehicle operation process based on a virtual space. Only a laser radar and an optical camera which are deployed in a special vehicle operation site and have overlapped detection view fields are used as external sensing equipment to synchronously collect operation environment data; based on the working environment data, constructing a three-dimensional virtual space containing the semantic information of the electrified equipment, and setting a virtual electronic fence to form a security defense area; based on laser radar real-time point cloud data, point cloud clusters of different rigid parts of the special vehicle are identified through segmentation and clustering, and a theoretical three-dimensional contour is generated; extracting a two-dimensional edge of the vehicle part through semantic segmentation based on the optical camera image data, and generating a three-dimensional semantic contour; fusing the theoretical three-dimensional contour with the three-dimensional semantic contour to obtain a high-precision dynamic three-dimensional contour of the moving part of the special vehicle; and calculating the shortest distance between the high-precision dynamic three-dimensional contour and the boundary of the virtual electronic fence, and taking the shortest distance as a reference for executing graded early warning or operating intervention on a special vehicle.

The invention discloses a lithium battery system with a remote upgrading function, belongs to the technical field of lithium battery management, and aims to solve the problems that an existing system is high in field upgrading cost, easy to fail in upgrading, split in operation and maintenance functions, lack of outdoor theft prevention and the like. The system comprises a lithium battery body, a BMS (Battery Management System), an embedded Web UI (User Interface) and a multi-protocol communication module, the BMS is integrated with an Ethernet, a CAN (Controller Area Network) and an RS485 (Recommended Standard 485) communication unit, an upgrade failure three-level protection mechanism is set, and host-slave parallel operation collaborative upgrade and configuration persistence are supported; the embedded Web UI integrates refined log management, three-level password authority control and anti-theft closed-loop control functions; the multi-protocol communication module is compatible with ModbusTCP and SNMP protocols, and has interface backup and fault redundancy design. According to the system, remote upgrading, integrated operation and maintenance and safety protection of the lithium battery are achieved, the upgrading success rate reaches 99.8% or above, the operation and maintenance cost is reduced by 90%, the fault processing efficiency is improved by 85%, and the system can flexibly adapt to scenes such as a communication base station and a data center and has high practicability and market competitiveness.

The invention relates to the technical field of three-dimensional point cloud data processing, and provides a subsidence-water-area-oriented point cloud stripe noise LTCF elimination method and system, and the method comprises the steps: obtaining point cloud data, preprocessing, filtering, and optimizing point cloud output. The filtering processing comprises the following steps: local covariance feature extraction: aiming at each target point in the preliminarily optimized point cloud obtained by preprocessing, constructing a k-nearest neighbor domain, and calculating local covariance contribution values of each target point in X, Y and Z spatial directions; compared with the prior art, the method has the following beneficial effects that the industrial pain point of a subsidence water area scene is solved, a three-direction covariance joint judgment mechanism is innovatively introduced, exclusive recognition logic is designed for specific low-elevation strip noise only containing XY-direction covariance in the subsidence water area, the lamellar strip noise which cannot be recognized completely by a traditional algorithm can be accurately captured, and the recognition accuracy of the subsidence water area scene is improved. And the problem of eliminating the point cloud core noise of the subsidence water area is solved fundamentally.

The application discloses a gas heater control system capable of automatically adjusting the size of a flame, comprising a main controller, an infrared sensing device, a gas control valve, a burner and an ambient temperature sensor and the like. The infrared sensing device senses the presence state, distance and height information of a human body, and the ambient temperature sensor monitors the ambient temperature; the main controller generates a multi-stage or continuous gas flow instruction based on the above information, controls the gas control valve to adjust the size of the flame, and can also adjust the total flow according to the number of human bodies. The system is equipped with a lifting device, which can automatically adjust the height of the burner according to the sitting or standing posture of the human body; a wind speed sensor is arranged, and when the flame is extinguished, the wind speed is combined to judge whether to delay ignition; multiple protections such as a tilt switch, an audible and visual alarm and the like are arranged, and an auxiliary illuminating lamp is started to enhance the sensing performance in weak light. The system realizes intelligent and accurate temperature control, improves the safety and scene adaptability, is energy-saving and convenient.

This application discloses a method, device, and electronic device for displaying energy flow in a power plant, belonging to the field of new energy power plant technology. The method includes: generating an energy flow diagram corresponding to the current power plant configuration and displaying it on an interface; the energy flow diagram includes multiple visual elements, each visual element including at least source nodes and carrier nodes representing power plant equipment, and path elements representing the energy flow relationship between source nodes and carrier nodes; responding to user interaction with any node or path element, determining the energy path where the interacted node or path element is located; updating the rendering state of the energy path on the interface to make the energy path appear locally focused relative to other energy paths. This application achieves energy path-level visualization and interactive analysis based on power plant equipment topology, improving the accuracy of expressing power plant energy flow relationships and the efficiency of analyzing multi-dimensional operational data.

The present application relates to the field of intelligent traffic parking scheduling, and particularly relates to a parking resource comprehensive scheduling strategy optimization method and system based on multi-region cooperation, which specifically as follows: collecting multi-region and multi-type parking resources, commuting parking demand, illegal parking risk and road network operation data according to scheduling period, constructing parking cooperative monitoring sample through standardization processing; calculating time-sharing sharing potential index, underground priority access intensity and road overflow risk elasticity index, constructing hierarchical directed ant colony search graph with heuristic information written; introducing capacity constraint self-repairing mechanism and congestion degree pheromone updating mechanism, solving Pareto solution set through multi-objective ant colony optimization, screening optimal compromise scheme combining fuzzy membership and dynamic preference weight, outputting parking guidance instruction and realizing rolling closed-loop iteration. The present application can realize time-sharing cooperative deployment of parking resources in residential and office areas, balance various parking load, and improve overall utilization efficiency of parking resources.

The application belongs to the technical field of positioning and measurement, and particularly relates to a target positioning method and device combining CSI coarse positioning and Y-type CCD fine correction, which comprises the following steps: S1, CSI acquisition equipment is arranged in a target area, and CSI data between a sending end and a receiving end is acquired; S2, a Y-type CCD sensor is geometrically calibrated and a coordinate system is corrected, and coordinate reconstruction is completed; S3, the CSI data is preprocessed, noise is removed, and input is normalized; S4, time domain features of the CSI are extracted by using a time domain branch; S5, frequency domain features of the CSI are extracted by using a frequency domain branch; S6, a gating fusion module is used to fuse the time domain and frequency domain features, and the approximate position coordinates of a target are output; S7, the Y-type CCD sensor is controlled to optically acquire a target area, and point light source coordinate information is acquired; and S8, error correction is performed on the data acquired by the Y-type CCD, and the accurate position coordinates of the target are output.

This invention discloses a driver state monitoring and safety early warning method based on millimeter-wave radar, comprising: acquiring driver physiological micro-motion signals and driver macro-behavioral signals respectively through millimeter-wave radar to obtain driving environment information in real time; denoising the driver physiological micro-motion signals and extracting features to obtain driver physiological feature signals; constructing a time-frequency spectrum using driver macro-behavioral signals; determining the driver physiological arousal index and driver emotional state risk value based on the physiological feature signals; obtaining the driver dynamic behavior risk value based on the time-frequency spectrum; calculating an environmental complexity index based on driving environment information; constructing a driver state risk field model based on the driver physiological arousal index, driver emotional state risk value, and driver dynamic behavior risk value; calculating the driver state risk value using the driver state risk field model and environmental complexity index; and providing graded early warning based on the driver state risk value.

The invention provides a method and a device for realizing automatic exposure, a medium and a program product. The method comprises the following steps: determining and caching a brightness parameter of an image in a license plate area in a vehicle image; calculating a first average value of the cached brightness parameters; calculating the brightness deviation degree of the image in the license plate area based on the first average value and a first brightness threshold value for the license plate area, and calculating the local target brightness for the license plate area by multiplying the brightness deviation degree by the global target brightness; performing weighted summation on the local target brightness and the global target brightness to obtain the final target brightness of the vehicle image; and carrying out exposure adjustment on the vehicle image by comparing the image global average brightness of the vehicle image with the final target brightness. According to the technical scheme, the exposure effect of the license plate is optimized, and the scene adaptability and accuracy of license plate recognition are improved while the brightness change of the whole picture is considered.

The application discloses a Brillouin sensing device based on optical parallel differential pulse pairs and a working method, and belongs to the technical field of optical fiber sensing. In view of the problem that the prior art is difficult to consider high resolution, high precision and fast measurement, the device used by the application comprises: an optical source module, which is used to generate an optical carrier; a first optical path module, which is connected with the optical source module and is used to receive the optical carrier and generate optical parallel differential pulse pairs containing anti-Stokes and Stokes components and having different pulse lengths as pump light through double-frequency double-sideband pulse modulation; a second optical path module, which is connected with the optical source module and is used to generate double-sideband probe light; and a sensing optical fiber, which is connected with the first and second optical path modules respectively and is used to receive the pump light and the probe light and directly complete signal differentiation in the optical domain through stimulated Brillouin scattering. Thus, high resolution, high precision and fast measurement are synergistically optimized, the gain / loss mechanism can be flexibly switched, and the scene adaptability is enhanced.

The application provides a fiber-optic Fabry-Perot sensor based on light beam convergence and a manufacturing method thereof, and relates to the technical field of semiconductors. The sensor comprises a diaphragm layer, an intermediate layer and a bottom layer which are arranged in layers; the diaphragm layer is provided with a first groove, the intermediate layer is attached to the diaphragm layer in a manner that a first layer surface thereof faces the first groove, so as to form a Fabry-Perot cavity based on the first groove; the bottom layer is provided with a second groove, the intermediate layer is attached to the bottom layer in a manner that a second layer surface thereof faces the second groove, so as to form a nano-containing cavity based on the second groove; the second layer surface of the intermediate layer is formed with a micro-nano anti-reflection structure comprising array-distributed anti-reflection units located in the nano-containing cavity; and the bottom layer is formed with a micro-nano collimation structure comprising array-distributed collimation units located in the nano-containing cavity and in a symmetrical positional relationship with the micro-nano anti-reflection structure. The application at least reduces the manufacturing complexity.

The invention discloses an effective security domain-based post-power-grid-fault operation adequacy repairing method and system, belongs to the technical field of power grid fault repairing, and aims to solve the problems of conservative static limit, lack of visual representation of multi-section security situation and insufficient real-time cooperative correction capability in a traditional N-1 checking method. According to the method, the dynamic section limit is constructed by introducing the adjustable power flow transfer coefficient, and the visual depiction and the global strategy feasibility identification of the multi-section coupling safety boundary are realized based on the effective safety domain concept; and establishing a convex optimization collaborative repair model which takes the operation adequacy as a guide and takes the minimum total energy consumption of stored energy as a target. The improvement of quota formulation from static state to dynamic state, safety analysis from isolation to coupling and correction decision from experience to optimization is realized, and the observability of the operation state and the accuracy of the scheduling decision after the power grid breaks down are remarkably enhanced.

The utility model provides a tractor electric drive power system, including motor module, input module, variable speed module that transmits connection in proper order, variable speed module includes intermediate shaft with input module through the clutch connection, the gear shift tooth cover of slidable assembly along the axle direction on intermediate shaft, rotatable assembly on intermediate shaft gear position drive gear set, gear position driven gear set and gear position drive gear set with gear position drive gear set mesh with output shaft, and the number of intermediate shaft is at least two, and the gear shift tooth cover is combined with gear position drive gear set and forms the connection of intermediate shaft and output shaft along the axial sliding, the utility model improves the high efficiency interval coverage rate of motor, reduces energy consumption, avoids the tooth shaft damage among variable speed module under the sudden situation such as motor out of control, improves transmission safety, and reliability, avoids the power interruption of gear shifting, and reduces the gear shifting impact, improves the scene adaptability of electric drive power system, reduces energy and hardware loss.

This utility model relates to the technical field of public facility water supply equipment, and discloses a negative pressure-free water supply device with water purification, including a flow stabilizing tank. A first fixing block is fixedly connected to the bottom of the flow stabilizing tank, and a second fixing block is fixedly connected to the bottom of the first fixing block. A permanent magnet is rotatably connected to the inner wall of the second fixing block. A housing is fixedly connected to the side of the second fixing block away from the first fixing block. A storage battery is fixedly connected to the outside of the housing. A rotating shaft is rotatably connected inside the housing. A fixing column is fixedly connected to the outer wall of the rotating shaft, and a fan blade is fixedly connected to the outer wall of the fixing column. In this utility model, an emergency power supply is achieved by using the kinetic energy of water flow through a generator to ensure stable water supply. The water purification component improves the quality of the effluent through multi-stage filtration to meet safe water use requirements. Quick disassembly of components simplifies maintenance operations and reduces operating costs. The synergy of these three aspects significantly improves the practicality and economy of the equipment.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) phase unwrapping method based on a terrain gradient sensing network, and relates to the field of synthetic aperture radar interferometry. The method comprises the following steps: acquiring a phase unwrapping data set and dividing the phase unwrapping data set into a training data set, a verification data set and a test data set; secondly, constructing a terrain gradient sensing network; inputting the training data set into the terrain gradient sensing network for iterative training, and storing an optimal model weight after training is completed; and finally, inputting the test data set into the trained terrain gradient sensing network, and outputting a predicted unwrapping phase diagram. According to the scheme, under the conditions of low signal-to-noise ratio and data missing, noise suppression and detail fidelity can be considered at the same time, residues and fringe artifacts are suppressed, phase continuity and physical consistency constraints are met, the unwrapping precision, stability and cross-scene generalization ability are improved, and a reliable phase unwrapping scheme is provided for synthetic aperture radar interferometry.

The invention relates to an intelligent low-altitude economic scene passenger emotion pacifying method and system based on a large model. The method comprises the following steps: constructing a multi-modal emotional state data set of low-altitude travel passengers; wherein the multi-mode emotional state data set comprises passenger face video sequence data, in-cabin voice and audio data, heart rate variability time sequence data, respiratory frequency time sequence data and external situation context data; performing emotional depth feature extraction based on multi-source space-time signals on the multi-modal emotional state data set to obtain multi-source emotional features; emotion recognition is carried out based on the multi-source emotion features; based on the emotion recognition result, constructing a pacifying strategy generation model; and utilizing a pacifying strategy generation model to intelligently pacify the emotion of the passenger, and evaluating and feeding back the pacifying effect in real time. According to the emotion and specific inducements recognized in real time, pacifying measure suggestions which conform to safety specifications, fit scenes and are natural in language can be generated, and timeliness and specialty of passenger cabin service are improved.

The application discloses a communication mode switching method, and belongs to the technical field of satellite communication terminal control. The method is applied to a multi-mode communication terminal integrated with a folding antenna, a Hall sensor, a PTT button and a main control module. Firstly, the type of a SIM card is automatically recognized and corresponding satellite communication parameters are pre-configured in the starting stage. In the standby state, the antenna unfolding state is monitored in real time through the Hall sensor. When the antenna is unfolded to a preset angle, a detection time window is started. In combination with the pressing state of the PTT button in the window, two-dimensional combination judgment is carried out. If the button is not pressed, the satellite communication mode is automatically entered and satellite searching and network entry are executed. If the button is pressed, the intercom communication mode is automatically entered. After the antenna is folded, the current mode is automatically exited and the low-power standby state is returned.

The present application relates to the technical field of computer vision and human pose generation, and particularly relates to an aesthetic perception pose generation method based on vision and text prompts, which comprises the following steps: obtaining multi-modal input data comprising a no-human scene image, a human specified position, and a text description of human and scene attributes; extracting multi-modal features, and matching an adaptive target pose prototype in a pose prototype library pre-constructed through K-means clustering; generating predicted deformation parameters through a partial-level Transformer variational autoencoder; and finally restoring a 17-keypoint human pose conforming to portrait photography aesthetics, scene and human attribute adaptation. The present application optimizes the pose generation path and model training strategy, reduces the pose generation complexity, improves the matching efficiency, scene adaptability and pose naturalness, enhances the model robustness, generalization ability and expansibility, and comprehensively improves the efficiency, accuracy and aesthetics of pose generation, and adapts to various scenes and multiple requirements.

The application discloses a medical inquiry logic chain generation and verification method and system based on a large language model, relates to the technical field of artificial intelligence, and comprises the following steps: S1, generating a logic chain framework, constructing a medical inquiry logic chain generation model, and embedding a structured logic template and professional knowledge constraints in a large language model as a core engine; S2, designing a two-dimension multi-level verification framework to automatically check the consistency and medical rationality of the generated corpus logic chain; and S3, designing an evaluation index system and a dynamic optimization strategy, grading and marking the problem corpus identified in the verification, and performing corresponding correction, so that the correction result is fed back to the model training link to optimize the logic chain generation rule. Through NLP technology, a language model generation mechanism, medical knowledge structure analysis and an intelligent verification algorithm, the quality, the degree of structuring and the application value of the medical inquiry data set in an intelligent inquiry system are improved, and high-quality and controllable professional corpus support is provided.

The application relates to the technical field of warehouse management and intelligent logistics, and discloses a warehouse position allocation strategy optimization method and system based on reinforcement learning, wherein the method comprises the following steps: constructing a warehouse state vector; generating a warehouse position allocation action set of a commodity unit SKU, and screening and migrating the action by adopting a double-layer policy gradient constraint mechanism; collecting real-time operation indexes and outputting real-time reward signals based on a three-dimensional engine simulation environment; constructing an experience four-tuple and performing policy iteration training by using a deep Q network; and performing closed-loop feedback optimization. Compared with the prior art which depends on static rules or heuristic algorithms for SKU warehouse position allocation, especially in the multi-category large warehouse scene, under the conditions of high SKU correlation and frequent combination picking, it is difficult to realize overall picking efficiency optimization. Since the application is driven by a reinforcement learning driven correlation clustering mechanism, dynamic adaptive cluster type warehouse layout optimization is realized, and the operation efficiency of the warehouse system is improved.

The utility model relates to a lifting head-shaking video instrument, which realizes rotation and height lifting of a camera in any direction up and down and left and right through collaborative design of a lifting assembly, a rotating assembly and a camera assembly, and remarkably expands the monitoring range and scene adaptability. Illumination and monitoring functions are integrated, the light-emitting assembly provides illumination and can also supplement light for the camera, and the low-light environment monitoring effect is improved. A manual lifting mode and an electric lifting mode are provided, manual lifting is matched with silica gel ring friction positioning, the structure is simple, and the cost is low; lifting is driven by the motor, and adjustment is more accurate and stable. In the two modes, the abutting buckles are matched with the lifting grooves, so that the assembly is prevented from falling off, and the use safety is improved; universal parts such as an eccentric motor are adopted, so that the manufacturing cost is reduced while the function is ensured; the whole device is directly connected to the mains supply through a threaded interface or a socket, does not need an external adapter, is convenient to install and use, is suitable for various scenes such as home security and shop monitoring, and improves the user experience and the equipment practicability.

This invention discloses a multi-vehicle cooperative control method, system, medium, and program product. The method includes constructing a lateral and longitudinal coupled dynamic model for the multi-vehicle cooperative transportation system and extracting the model matrix of the lateral and longitudinal coupled dynamic model; constructing system constraint equations for the multi-vehicle cooperative transportation system with the cargo as the leader, including motion constraints and articulation constraints, and extracting the constraint matrix of the system constraint equations; obtaining the real-time state of the multi-vehicle cooperative transportation system; calculating the constraint forces of the multi-vehicle cooperative transportation system based on the model matrix of the lateral and longitudinal coupled dynamic model, the constraint matrix of the system constraint equations, and the real-time state; and calculating the actual control quantities of each vehicle based on the constraint forces of the multi-vehicle cooperative transportation system. This invention aims to solve the challenges of strong coupling, nonlinearity, and underactuation in existing multi-vehicle cooperative transportation systems, and improve the tracking performance of multi-vehicle cooperative transportation systems under topologically stable configurations.

The present application relates to the technical field of industrial unmanned aerial vehicle application and intelligent scheduling, and particularly discloses an unmanned aerial vehicle highway inspection task intelligent planning management system, which comprises a task input module, an intelligent planning engine, a task execution management module, a data hub and a feedback optimization module; the task input module receives and checks and analyzes inspection task requirements and highway basic information; the intelligent planning engine decomposes task priorities based on highway multi-dimensional attributes, dynamically allocates unmanned aerial vehicle resources and generates an optimal path meeting multiple constraints; the task execution management module issues adaptive instructions, monitors unmanned aerial vehicle states and processes inspection data; the data hub uniformly stores whole-process data; and the feedback optimization module optimizes a decision model based on historical data. The present application improves inspection planning accuracy and resource utilization, guarantees data quality, realizes self-evolution and ensures efficient and reliable highway inspection.

The invention relates to a song recall method, computer equipment, a readable storage medium and a program product. The method comprises the steps of obtaining songs to be subjected to same song group recall from a plurality of different song data sources, and obtaining multi-modal feature representation of the songs according to song audio features, lyric semantic features and song name text features of the songs; according to the multi-modal feature representation of any two songs, determining the similarity between the first song and a plurality of second songs in the plurality of song data sources; the first song is any one song in a plurality of song data sources; the second song is a song except the first song in the plurality of song data sources; and according to similarity matching conditions corresponding to different recall scenes, screening similarities between the first song and the second songs to obtain a same song group recall result of the first song. By adopting the method, the effect of recalling the same song group can be effectively improved.

This invention belongs to the field of artificial intelligence communication technology and discloses an AI autonomous intelligent agent execution framework architecture system based on layered decoupling. The invention integrates the core capabilities of ReAct execution loop, intelligent context compression, and autonomous error correction in the decision layer to achieve accurate parsing of instruction intent, dynamic iteration of decision logic, and autonomous error correction. The transmission layer establishes a multi-platform message intelligent routing and protocol unification mechanism to achieve efficient data interaction and instruction transmission across platforms and protocols. The execution layer integrates hybrid memory management and sandbox-isolated practical execution capabilities to achieve multi-dimensional memory of execution data, secure isolation of execution behavior, and accurate implementation of practical tasks. The system's layers are clearly defined, decoupled, independent, and collaborative, possessing high scalability, cross-platform adaptability, execution security, and decision autonomy.

This invention discloses a method and system for dynamic fine-tuning of a distributed AIGC model. The method relates to the field of dynamic model fine-tuning technology and includes the following steps: multimodal business data processing and training sample generation, fine-tuning of the basic model's domain knowledge internalization, and fine-tuning of model role adaptation and compliance constraints. This invention collects multimodal business data, generates training samples through standardization and knowledge graph association processing; employs supervised fine-tuning to perform a first-level fine-tuning of the basic model, enabling it to master professional terminology and business processes; based on this, a second-level role adaptation fine-tuning is performed, and a compliance verification mechanism based on a law enforcement rule constraint library is introduced during decoding to ensure the security of the generated content. This solves the problem of low security in the dynamic fine-tuning of distributed AIGC models in existing technologies due to domain distribution bias in training data and the lack of a mechanism for fusing parameterized and non-parameterized knowledge.

The utility model discloses a novel water -cooling sludge into stove pipe, include: furnace pipe, the outer wall symmetry fixed connection of furnace pipe has flange, the inner wall fixed connection of furnace pipe side has the water inlet pipe, the inner wall fixed connection of furnace pipe far away water inlet pipe one side has the water outlet pipe, the utility model relates to into stove pipe technical field, this furnace pipe, through the flexible design of metal hose can adjust the furnace angle flexibly, effectively adapt the installation deviation of senior equipment and furnace pipe, avoid the conveying jam of rigid connection, through the cooling water circulation system of furnace pipe helical inner layer guide, can pass through the ball valve precision regulation of water inlet pipe cooling water flow, realize the even, controllable cooling of furnace pipe, avoid because close combustion furnace and long -term in high temperature environment, the service life of equipment is prolonged significantly, at the same time, the stable cooling effect also reduced the equipment deformation or material adhesion risk of high temperature.

This application belongs to the field of visual compensation technology and provides a visual compensation method under starlight conditions. Through pre-sampling and grayscale variance statistics, it achieves the determination of starlight compensation intervals and the dynamic division of target and background regions in the imaging plane. It adopts a sampling method with different exposure time series for the target and background regions to obtain multiple frames of original sampled data and pixel integration time. Based on the pixel integration time, it constructs a spatially variable gain matrix and completes inter-frame registration and gain normalization processing to separate signal and noise components in the image. The signal component is used as a sparse sampling stream, and the pixel variance distribution of the noise component is used as a hyperparameter of the variational inference algorithm. Image reconstruction is completed through probability density gradient estimation, making the variational inference process match the actual noise distribution characteristics under starlight conditions, thereby improving the quality and reliability of visual imaging under starlight conditions.

This invention discloses a fully automated atmospheric and topographic radiometric correction method and device for high-resolution remote sensing imagery, belonging to the field of remote sensing science and technology. The method includes: constructing a fully automated batch processing framework; developing an atmospheric correction module based on the 6S radiative transfer model to automatically retrieve atmospheric parameters and eliminate their influence; and developing a topographic radiometric correction module based on the digital elevation model (DEM) and VECA model to compensate for radiometric distortion caused by complex terrain. The key innovation lies in constructing a joint correction framework and integrating a geomorphic feature recognition algorithm, which can automatically identify and select to execute either single atmospheric correction or a combined atmospheric-topographic correction process based on the degree of topographic relief in the image. This invention achieves fully automated batch processing from data input to result output, requiring no manual intervention, significantly improving the processing efficiency, intelligence level, and adaptability to different terrain scenarios in high-resolution image radiometric correction.

The invention relates to the technical field of operation efficiency evaluation, in particular to a civil aviation autonomous operation efficiency evaluation method, which comprises the following steps: acquiring operation information historical data which comprises operation information accumulated in the civil aviation operation process; multiple historical models are established based on the operation information historical data, each historical model is used for representing different autonomous operation scenes of the civil aviation, and each autonomous operation scene comprises a corresponding reference efficiency index; obtaining to-be-evaluated operation information, matching the to-be-evaluated operation information with a plurality of historical models, and obtaining a current autonomous operation scene; calculating an actual efficiency index corresponding to the current autonomous operation scene according to the to-be-evaluated operation information; performing visual comparison display on the actual efficiency index corresponding to the current autonomous operation scene and the reference efficiency index; the civil aviation operation efficiency can be comprehensively evaluated.