180results about How to "Real-time adjustment" patented technology

The invention relates to the technical field of humidity compensation, in particular to a humidity gradient compensation method and device for an alternating humidity heat test box. The method comprises the following steps: acquiring test box state monitoring parameters based on a multi-dimensional sensor array; performing spatial humidity gradient distribution analysis on the state monitoring parameters of the test box, performing discrete interpolation fitting, and constructing a three-dimensional humidity gradient trend network; carrying out internal dynamic airflow diffusion analysis on the alternating damp heat test box so as to generate dynamic airflow diffusion data of the test box; carrying out dynamic humidity diffusion path mining on the three-dimensional humidity gradient trend network based on the dynamic airflow diffusion data of the test box, and constructing a dynamic humidity diffusion twin model; acquiring external environment monitoring parameters of the test box; and carrying out environment change association mining on the three-dimensional humidity gradient trend network based on the test box external environment monitoring parameters so as to generate humidity gradient change association data under environment fluctuation. According to the invention, efficient and accurate humidity gradient compensation is realized.

The invention discloses an advertisement recommendation method and system based on a click rate estimation model, and relates to the technical field of advertisement recommendation, and the method comprises the steps: collecting advertisement recommendation feature data, carrying out the processing through a feature project, and outputting a user feature vector; inputting the user interest vector into a click rate estimation model, training the click rate estimation model through a causal optimized cross entropy loss function, and outputting a click probability value of each advertisement; the click probability value serves as input of a reinforcement learning algorithm, and an advertisement sorting result is generated by dynamically optimizing a multi-target reward function in combination with user interaction behaviors; according to real-time feedback data in the user interaction behavior, updating a user interest partial value of the causal inference model in real time, and correcting user interest vector offset; by updating the user interest partial value in real time, the user behavior change can be quickly responded, and the timeliness of advertisement recommendation and the user experience are improved.

The invention aims to provide an intelligent pavement maintenance scheme design method based on a dynamic knowledge graph, so as to solve the problem that the pavement maintenance scheme design in the prior art depends on manpower and lacks dynamic adjustment capability. According to the method, road basic construction information, road surface detection conditions, road surface disease description and grading and classification information are received, a dynamic knowledge graph is constructed based on input entities and mutual relations thereof, and applicable road surface maintenance scheme templates including maintenance content, a maintenance method, a disposal drawing, project amount estimation and project scheduling are output by utilizing the dynamic knowledge graph. By introducing a dynamic knowledge graph and a large model technology, the pavement condition is automatically analyzed and judged, a maintenance scheme template with high adaptability is generated, and scheme content is intelligently assigned and generated.

The invention is suitable for the technical field of naked eye 3D, and provides a naked eye 3D interaction method and system based on OSG, and the method comprises the following steps: loading an OSG library and a deep learning model, loading a 3D model, a map and a light source through OSG, and obtaining an OSG scene; collecting interaction data of a user in real time, inputting the interaction data into the deep learning model, and performing real-time analysis; outputting the visual angle parameter and the model parameter obtained through analysis, and adjusting the camera position and the model posture in the OSG scene according to the visual angle parameter and the model parameter; according to the optimized OSG scene, utilizing a computer vision technology to generate a parallax image, and utilizing a deep learning algorithm to optimize the parallax image so as to improve the reality sense and the stereoscopic sense of the 3D effect; and synthesizing the optimized parallax image into a naked eye 3D image. According to the invention, real-time and intelligent adjustment can be carried out according to the actual interaction behavior of the user, and the reality sense and stereoscopic impression of the 3D effect are strong.

The invention relates to an unmanned aerial vehicle route planning method and system based on lightweight artificial intelligence, and the method comprises the following steps: S1, obtaining the environment data of a distribution line, and fusing the data of multiple sensors in real time; s2, constructing an environment map based on the fused multi-sensor data; s3, key points are extracted from the environment map to serve as path nodes, the number of the nodes is reduced through a clustering algorithm, and a three-dimensional environment map with the key path nodes is obtained; s4, optimizing path calculation by adopting an improved A * algorithm and utilizing a heuristic search strategy according to the electric power line inspection plan, and constructing a path plan; and S5, deploying an edge terminal at the key node, and triggering real-time data storage and transmission only when necessary by adopting an event-based detection algorithm. Through the lightweight artificial intelligence algorithm design, the method can efficiently operate on an unmanned aerial vehicle platform with limited computing resources, and can effectively execute the inspection task in a complex distribution line environment at the same time.

The invention discloses a robot intelligent scheduling and management and control system and method for hospital delivery services, and relates to the technical field of realizing material delivery services by using robots. The scheduling platform determines the execution category according to the attribute of the transport work order, and when the execution category is robot execution, the scheduling platform assigns the transport work order to the robot according to an order insertion, sequential and / or proximity strategy; a shortest-time-consumption planning strategy is adopted, and the path of the robot assigned to convey the work order is planned; and when executing the work order, the robot interacts with the scheduling platform in real time and reports the task completion condition. The scheduling strategy of the transport work order is further optimized, the transport efficiency and the load rate of the transport robot are improved, and the scheduling platform can master the information of each node in the transport path in real time, so that reference is provided for subsequent planning of the transport path, and the transport efficiency of the transport robot is further improved.

The invention provides a multi-agent conflict-free path planning method and system based on an improved CBS algorithm. The method comprises the following steps: constructing an environment model; analyzing task starting points, task ending points and current state information of k intelligent agents from the received task request information, and judging whether all the intelligent agents need to re-plan paths or not by traversing task path sets of all the intelligent agents; when the path is planned again, forbidding points are added through the distance and the end point positions of the intelligent agents, a conflict-free path solver is called to obtain a path set of k intelligent agents, and the path set is cut off in space; comprehensively judging and processing the generated path; and selecting the shortest path which meets the safety requirement from the length by judging the same-direction or reverse-direction relationship between the paths, and issuing the shortest path. The method can be used in warehouse logistics and other complex environments, and the calculation speed and robustness of path planning are improved.

The invention discloses an intelligent milling system for a weak-rigidity cylindrical part and a self-adaptive machining method, and relates to the technical field of mechanical cutting machining.The intelligent milling system comprises a six-degree-of-freedom robot, a milling device arranged at the tail end of the six-degree-of-freedom robot, an inner supporting floating tool for clamping the weak-rigidity cylindrical part and an industrial personal computer for controlling the machining system; the robot control cabinet is used for controlling the six-degree-of-freedom robot to move in space, detecting the global deformation of the wall surface of the weak-rigidity cylindrical part through the inner support floating tool, and constructing and utilizing a finite element simulation-recurrent neural network global wall surface deformation prediction model to predict the wall surface deformation. And the cutting amount of the cutter is adjusted in real time for dynamic compensation in the machining process. The machining precision can be improved, machining errors are reduced, the tool utilization rate is increased, and the production cost is reduced.

The invention discloses a field monitoring method for forestry management, which relates to the field monitoring technology field of forestry management, and is characterized in that a monitoring acquisition and image processing module and an auxiliary module are used in cooperation to acquire, identify and transmit image communication of trees and areas in a forestry monitoring area, and a data calculation processing module is used to calculate and process data. The monitoring area coverage rate FM, the number ML of trees in the monitoring area and the fire risk index FX are calculated and output, intervention adjustment of measures and methods is carried out on the basis of the change trend of the recent fire risk index FX, and the data calculating and processing module comprises a monitoring coverage area effect measuring unit. According to the forestry area fire risk monitoring system, the area coverage rate of the monitoring area is accurately calculated, the number of trees is estimated in real time, the fire risk is scientifically evaluated, the monitoring strategy is optimized, and then modernization and intelligentization of forestry management are promoted.

The invention belongs to the technical field of shield tunneling attitude control, and discloses a shield tunneling attitude control method and system based on digital twinning, and the method comprises the steps: building a shield tunneling machine and a digital twinning model corresponding to the actual operation state of the shield tunneling machine based on tunneling parameters, environmental geological parameters and tunnel geometric parameters in the tunneling process of the shield tunneling machine; the current total thrust of a hydraulic oil cylinder of the shield tunneling machine propelling system is obtained, the current total thrust is input into the digital twinborn model, and the current current of a proportional overflow valve in the shield tunneling machine propelling system is obtained; based on the direct proportion relation between the current of the proportional overflow valve and the total thrust of the hydraulic oil cylinder, the current current of the proportional overflow valve is adjusted so as to correspondingly adjust the current total thrust of the hydraulic oil cylinder, the axis deviation of the shield tunneling machine corresponding to the adjusted total thrust approaches zero, and the needed current total thrust of the hydraulic oil cylinder is obtained; and controlling tunneling of the shield tunneling machine by using the required current total thrust of the hydraulic oil cylinder. The control precision of the tunneling posture of the shield tunneling machine can be improved.

The invention relates to the technical field of medical recommendation, in particular to a personalized nutrition treatment knowledge base construction method and system for critical patients. The system is used for acquiring basic information, medical record information, laboratory examination data and period diet intake information corresponding to critical patients, performing critical case entity construction, and generating case entity descriptors of the critical patients; constructing a corresponding personalized nutrition treatment initial knowledge base for each critical patient case entity descriptor in combination with a semantic knowledge association ratio between related scientific research literatures; obtaining clinical pathological characteristics and nutrition treatment knowledge entities, performing nutrition demand analysis and administration opportunity determination, and performing nutrition administration effect conflict evaluation to obtain a clinical nutrition administration-diet effect conflict ratio; and performing nutrition treatment knowledge updating optimization on the personalized nutrition treatment initial knowledge base to generate a personalized nutrition treatment knowledge optimization base. Accurate nutrition support can be provided for critical patients.

The invention relates to the field of meteorological temperature measurement, in particular to a meteorological temperature measurement method and system based on an optical fiber sensor, and the method comprises the steps: collecting data information in an environment through the optical fiber sensor, carrying out the preprocessing of the obtained different parameter information, and providing a data basis for the meteorological temperature measurement method; establishing a meteorological temperature prediction neural network model according to the preprocessed data information, and predicting the meteorological temperature; the meteorological temperature measurement process is improved according to the requirements of different meteorological environments and the prediction result of the meteorological temperature; and evaluating the improvement result of the specific process of meteorological temperature measurement, establishing a temperature measurement evaluation model, and evaluating the effect of the temperature measurement result in practical application. High-precision temperature measurement is provided, meteorological temperature data can be monitored in real time through manual intervention, the change condition of the meteorological temperature is reflected in time, and the whole measurement process has high reliability and stability.

The invention belongs to the technical field of mining, and particularly provides a mining strategy optimization method based on a random variable and an NSGA algorithm, and the method comprises the steps: generating the random variable of ore grade and mining cost through employing a Monte Carlo simulation method, constructing a multi-objective optimization model, and obtaining a first solution set of the model through employing an NSGA-I algorithm; introducing the market price fluctuation constraint into the multi-objective optimization model to generate a second solution set under the market price fluctuation condition; and adopting a weighted grey correlation analysis method, an entropy weight method and an analytic hierarchy process to screen an optimal production plan of the second solution set in different market price fluctuation directions. According to the method, uncertainty caused by fluctuation of ore grade, mining cost and market price in the strip mine production process can be effectively handled, scientificity and economic benefits of a production plan are improved, and meanwhile, dynamic optimization of the mine production plan is realized; and an important reference is provided for a mine enterprise to make a flexible and feasible production plan in a complex market environment.

The invention belongs to the technical field of gear machining equipment.The multi-hole gear machining punching equipment comprises a base, a telescopic rod is installed at the upper end of one side of the base, the outer end of the telescopic rod is sleeved with a sliding sleeve, the side end of the sliding sleeve is in threaded connection with a first positioning rod, a positioning table is arranged at the front end of the sliding sleeve, and a control box is installed at the top end of the telescopic rod; the bottom end of the front side of the control box is movably connected with a movable plate, a drill bit is installed at the side end of the movable plate, a cutting fluid spraying piece is arranged at the bottom end of the movable plate, a driving piece is installed at the top of the control box, and a circulating assembly is arranged in the base. Through the arrangement of the first placing assembly and the second placing assembly, personnel can complete single-hole or multi-hole punching operation of the gear by replacing the corresponding first placing assembly or the second placing assembly, meanwhile, cutting fluid in use can be purified, the working environment of use is guaranteed, the cutting fluid is recycled, and the use cost is saved.

The invention provides a fee deduction method, system and device of an intelligent traffic system and a medium, and belongs to the technical field of intelligent traffic. The method comprises the following steps: acquiring a vehicle image, vehicle driving information and traffic flow information at a preset position of a traffic system; the vehicle image comprises a license plate image of a vehicle; identifying and analyzing the vehicle image by adopting a deep learning algorithm to obtain license plate number information and vehicle type information; predicting a driving path and passing time of the vehicle based on the historical driving data of the vehicle; dynamically calculating a fee deduction amount according to the driving path, the passing time and the real-time traffic flow information of the vehicle; and sending the deduction amount to the mobile terminal of the user, and providing payment service. According to the invention, the intelligent identification system is constructed, the vehicle information is obtained in real time, dynamic fee deduction is carried out in combination with various factors, and accurate and reasonable traffic and parking management is realized.

The invention provides a real-time modeling method and system for cooperative work of land and flight scanning devices, and relates to the technical field of scanning and modeling. The method comprises the following steps: preliminarily scanning a target area by using a land scanning device to generate three-dimensional point cloud data; a flight scanning device is used for conducting supplementary scanning on the complex area, and the coverage blind area of ground scanning is made up; fusing the land scanning data and the flight scanning data to generate a high-precision three-dimensional model; based on real-time data analysis, a flight path is dynamically adjusted to improve scanning efficiency and coverage rate. Through cooperative work of the land and the flight device, the modeling precision and efficiency are effectively improved, and the method is suitable for complex terrains and multi-scene application and has high real-time performance and reliability.

The invention discloses an intelligent hospital guide method and system based on symptom matching and department recommendation, and the method comprises the following steps: receiving a multi-modal symptom description inputted by a user, and carrying out the combined processing, thereby obtaining multi-modal symptom information; inputting the multi-modal symptom information into a multi-modal symptom deep learning model to obtain text key symptom features and voice key symptom features, and performing feature fusion to obtain comprehensive symptom feature representation; performing multi-dimensional matching according to the comprehensive symptom feature representation to generate a candidate department list; acquiring the real-time position of the user, inputting the real-time position of the user, the candidate department list and the voice key symptom features into a department recommendation model together, outputting a recommended department by calling a # imgabs0 # minimum spanning tree path algorithm, and generating a department information graph for the recommended department; and displaying department information, a doctor-seeing path and an appointment mode for the user through the department information atlas, thereby realizing intelligent hospital guide. According to the invention, the symptom information of the user is accurately identified and efficient matching with related departments is realized.

The invention discloses an intelligent light source regulation and control system and method based on AI relighting, and belongs to the technical field of light source regulation and control, and the method comprises the following steps: 1, carrying out the three-dimensional reconstruction of a site through employing a three-dimensional reconstruction technology, and outputting a three-dimensional environment model; 2, matching the light source parameters with the AI re-lighting model; step 3, simulating a character polishing effect by the AI re-polishing model; 4, judging whether light source setting is completed or not, if not, executing the step 5, and if yes, executing the step 7; 5, detecting and feeding back space coordinates and spectral data; step 6, light source control adjustment and registration; step 7, event setting and light source matching; 8, scene figure detection and registration; step 9, registering light source switching and camera switching events; and 10, judging whether event matching is completed or not. The system can achieve the effects of intelligent dimming, cost reduction, high-precision matching, automatic control and the like, and is suitable for application scenes of studios or stage plays.

The invention belongs to the technical field of spherical screen image processing, and particularly relates to an image processing system and method for suspension type spherical screen panoramic vision, and the system obtains the attribute and position information of a spherical screen and a plurality of projection devices through a spherical screen modeling module, constructs a spherical screen-projection integrated three-dimensional model, and precisely divides projection areas to correspond to the devices; the image processing module collects image sequences of different angles of the panoramic vision scene; the image splicing module uses feature point detection, a YOLO algorithm and a convolutional neural network to identify an overlapping region and discriminate a dynamic region, and obtains a dynamic pixel splicing line through a dynamic planning search algorithm; the image correction module constructs a projection mapping function, corrects geometric and optical distortion of the image, and optimizes a splicing effect through a splicing correction function; and finally, the multi-view output module projects the corrected image sequence to a corresponding area of the dome screen by using a plurality of projection devices, so that real-time dynamic splicing and monitoring are realized, and projection synchronization and image quality are ensured.

The invention relates to an intelligent control method and device for a wearable massage instrument, equipment and a medium. The intelligent control method comprises the steps that massage feedback data collected by multiple types of sensors on multiple massage assemblies used for massage and included in the wearable massage instrument are obtained; according to massage feedback data collected by multiple types of sensors on each massage assembly, for each type of sensor on each massage assembly, other types of sensors configured on the massage assembly where the sensor is located are used as attention target sensors. Determining a first target massage parameter of each massage component according to massage feedback data of an attention target sensor which pays attention crosswise on the massage feedback data of the sensor; according to the first target massage parameters of the massage assemblies adjacent to the massage assemblies, the first target massage parameters of the massage assemblies are corrected, and second target massage parameters of the massage assemblies are obtained; and according to the second target massage parameter of each massage assembly, controlling each massage assembly to perform massage.

The invention provides an intelligent active suspension system of a centrifugal machine, which belongs to the technical field of centrifugal machines and comprises an air spring mechanism, an actuating mechanism arranged beside the air spring mechanism, a control mechanism arranged beside the actuating mechanism, and an air supply mechanism arranged beside the spring mechanism. An anti-toppling structure is arranged inside or outside the air spring mechanism, a sensor body is arranged inside the air spring mechanism, the air spring mechanism is composed of an air spring body, a spring upper mounting plate and a spring lower mounting plate, and the spring upper mounting plate is fixed to the top of the air spring body. The advantages can be fully exerted, the problems existing in an existing centrifugal machine vibration isolation technology are effectively solved, the overall performance and reliability of the centrifugal machine are improved, and more stable, efficient and safe technical support is provided for the centrifugal separation process in industrial production; and the use height and the vibration isolation effect of the intelligent active suspension of the centrifugal machine can be adjusted according to use requirements.

The invention belongs to the technical field of printing, and particularly relates to an intelligent document high-speed positioning self-service printer system, which realizes high-precision document analysis by integrating an advanced image processing technology and multi-module cooperative work, and can efficiently and accurately identify various document contents from simple pure text to complex image-text mixed arrangement; based on deep understanding of document content, the system constructs an accurate page logic framework to ensure that the position and format of each element meet the manuscript requirements during printing output; besides, the close cooperation between the positioning instruction processor and the dynamic calibration assembly enables the system to adjust printing parameters in real time in the printing process, maintain extremely high positioning precision, and guarantee high-quality printing output even in the face of paper offset or other mechanical errors. In conclusion, the system remarkably improves the accuracy of document recognition and positioning and the efficiency and quality of the whole printing process.

The present invention relates to a stoma measuring device. In view of the fact that existing stomas have various sizes and various situations, the existing devices cannot be adjusted according to the stoma size, and the problems affecting the measurement results are frequent. Improper cutting will cause the stoma base to be unusable, resulting in the problem of waste of resources. The following scheme is now proposed, wherein the measuring structure comprises a base ring and a telescopic ring for measurement, and a fixed outer ring for fixing the base ring and the telescopic ring. The base ring and the telescopic ring are movably installed on the inner side of the fixed outer ring in a corresponding state. The present invention improves the fit of the measuring structure to the stoma by setting the measuring structure to an adjustable state, and lays a foundation for the user to cut out a stoma base that fits the shape of the stoma. In addition, the user can also match a matching shearing structure to directly perform preliminary shearing or complete shearing on the stoma base, thereby improving the shearing efficiency and convenience of the device.

The invention relates to the field of vehicle performance debugging, and particularly discloses a vehicle starting performance debugging method and system and a vehicle. Detecting a vehicle state and identifying a vehicle starting stage; collecting an acquisition signal of a chassis acceleration sensor in a vehicle starting stage, and recording the acquisition signal as a target signal; vehicle starting performance is judged according to the target signal; and if the starting performance of the vehicle is not qualified, the vehicle parameters are corrected according to a pre-configured correction strategy. Automatic debugging of the starting performance of the vehicle is achieved, the efficiency of debugging the starting performance of the vehicle and the consistency of evaluation results are improved, and real-time adjustment of vehicle parameters can be achieved.

The invention relates to a long and short hair blowing adjustment method and system, an intelligent terminal and a storage medium, and relates to the technical field of hair driers, and the method comprises the following steps: obtaining image detection information of hair at a drying position of a hair dryer and current blowing parameter information of the hair dryer in real time; analyzing and determining a hair length value according to the image detection information; determining blowing demand parameter information according to a comparison result of the hair length value and a preset length reference value; and according to the deviation condition between the current blowing parameter information and the blowing demand parameter information, blowing parameter adjustment information is determined, and the blowing parameter adjustment information is output to the blower. The hair dryer has the effect of conveniently and uniformly drying hair.

The invention discloses a warehouse quota generation method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: in response to a monitored message of a purchase plan corresponding to a warehouse, obtaining the number of orders of a specified type of the purchase plan; determining a predicted warehouse quota according to the order quantity and the historical proportion data of the specified type; and adjusting the predicted warehouse quota according to a preset adjustment parameter, and taking the adjusted data as the warehouse quota. According to the embodiment of the invention, the purchase plan data of the upstream purchase system is accessed to the prediction of the warehouse quota, and the receiving capability of the warehouse can be flexibly, dynamically and automatically adjusted in real time by adjusting the parameters, thereby reducing the operation cost, better utilizing the warehouse resources, and improving the warehousing reservation experience of merchants or suppliers.

The invention relates to an adjustable prestressed steel structure bridge expansion joint device which comprises an expansion joint main body mechanism, and the expansion joint main body mechanism comprises edge beams, channel steel frames, supporting vertical plates, fixing ribs, rubber strip grooves, middle beams, a displacement control box, cross beams, rubber supports, sliding supports, lateral fixing foot ribs and bottom fixing foot ribs. The two sets of edge beams are symmetrically arranged on the two sides of the bridge expansion joint, each edge beam is composed of a channel steel frame, a plurality of sets of supporting vertical plates and fixing ribs, the supporting vertical plates are evenly distributed on the outer sides of the two sets of edge beams, and the fixing ribs are fixedly arranged at the outward extending ends of the supporting vertical plates. Adhesive tape grooves are formed in the channel steel frames on the sides, close to each other, of the two side beams, the middle beam is movably arranged between the two side beams, the crack resistance and rigidity of the structure can be effectively improved, cracks on the periphery of the expansion joint are reduced, and durability is improved; real-time adjustment of the preload between the expansion joints is achieved, and the stability of the expansion joint structure is improved.

The invention discloses full-automatic polishing and etching equipment, and relates to the technical field of automatic glass etching equipment. Comprising a feeding station, a first cleaning station, an alkali polishing station, a second cleaning station and a discharging station which are sequentially distributed in the first direction. Each of the first cleaning station, the alkali polishing station and the second cleaning station comprises a plurality of functional tanks; the plurality of functional tanks are all provided with bubbling assemblies and liquid circulation assemblies, and a throwing mechanism is arranged in the functional tank of the alkali polishing station; the glass basket is used for loading glass; the transferring assembly is used for driving the glass to move along a first direction and a vertical direction; the glass basket comprises two side plates, limiting rods and a first connecting rod, the limiting rods and the first connecting rod are arranged between the two side plates, the two sides of the glass are limited between the limiting rods, the bottom of the glass abuts against the first connecting rod, and a plurality of limiting grooves are distributed in the limiting rods in the second direction; according to the technical scheme provided by the invention, the etching efficiency and the etching quality of the glass can be effectively improved.

The invention provides a calculation method for processing a mobile item touch area based on UnreaIEngine, and relates to the technical field of intelligent interaction systems and self-adaptive computation.The calculation method comprises a touch area processing system, and when the calculation method for processing the mobile item touch area based on UnreaIEngine is achieved, processing, controlling and adjusting are conducted through the touch area processing system. The touch area processing system comprises a viewport information acquisition module, a UI information processing module, a touch area control module, an adaptive spatial perception optimization module, a spatial-temporal dynamic modeling module, a super-resolution touch area reconstruction module, a multichannel optimization coexistence module and a curved screen mistaken touch intelligent protection module. According to the mobile item touch area processing and calculating method based on Unreal Engine, the problems of accuracy and flexibility of viewport information acquisition and UI (User Interface) information processing are effectively solved.

The invention relates to an intelligent cabin control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring vehicle state data corresponding to a vehicle; inputting the vehicle state data into a cabin setting model, and performing feature extraction on the vehicle state data through the cabin setting model to obtain corresponding cabin setting parameters; and cabin setting corresponding to the vehicle is adjusted according to the cabin setting parameters. By adopting the method, the cabin setting of the vehicle can be dynamically adjusted according to the vehicle state data of the vehicle.