77results about How to "Implement response" patented technology

The invention relates to the field of inductive control of illuminating lamps, in particular to an inductive control system of an inductive LED illuminating lamp. The method comprises the following steps: the lighting scene module is used for identifying all LED lighting lamps in an area; calculating node positions of all the LED lighting lamps in the area one by one, and identifying use scenes in the area to construct a plurality of LED lighting scene sub-areas; the ambient light feature module is used for acquiring ambient light parameters of a scene sub-region; performing light spatial distribution tracking on the ambient light parameters of the scene sub-regions, and performing ambient light state feature mining to generate ambient light comprehensive state features; and the multi-area lighting cooperation module is used for carrying out dynamic light source output parameter adjustment and multi-area lighting cooperation smoothing on the plurality of LED lighting scene sub-areas based on the environment light comprehensive state characteristics so as to generate multi-area lighting cooperation control parameters. According to the invention, rapid and accurate induction control of the LED illuminating lamp is realized.

The invention relates to the technical field of environmental sound event detection, in particular to an environmental sound event detection method based on multi-modal data fusion, which utilizes a microphone array, a camera and a sensor to synchronously acquire audio, video and environmental data to form a multi-modal data source. And the collected multi-modal data is preprocessed, so that the data quality and the accuracy of subsequent analysis are improved. And key features are extracted from the processed data, and the features are fused to form multi-modal features. And a deep learning model is constructed, and multi-modal features are used for training, so that a model capable of identifying an environmental sound event can be obtained. And performing optimization such as pruning, quantification and knowledge distillation on the trained model, and deploying the model on edge equipment to realize real-time preliminary feature extraction and event detection. The problems that an environment sound event detection method in the prior art is poor in robustness, low in real-time performance and limited in generalization ability are solved.

The invention relates to the field of low-altitude economy, in particular to a server communication optimization method and system based on low-altitude economy. The method comprises the following steps: monitoring an unmanned aerial vehicle communication relay node in a low-altitude field; carrying out node space position positioning calculation on the unmanned aerial vehicle communication relay nodes one by one, carrying out distributed relay topology fitting, and constructing a low-altitude relay communication network; collecting low-altitude real-time interaction information based on a low-altitude relay communication network; performing communication link bandwidth calculation on the low-altitude real-time interaction information, performing dynamic communication protocol modulation, and constructing a dynamic low-altitude adaptive communication protocol; identifying real-time communication state parameters of the relay nodes based on the low-altitude relay communication network; performing inter-node communication channel identification on the real-time communication state parameters of the relay nodes, performing optimal channel scheduling decision, and constructing an optimal channel scheduling strategy; current user communication data of the ground server is monitored. According to the invention, low-delay and high-efficiency server communication optimization is realized.

The invention relates to the technical field of computer television image communication, in particular to a computer television all-in-one machine control method, system and device. The method comprises the following steps: through multi-view image acquisition and processing, generating a three-dimensional scene grid and carrying out scene element analysis to form a scene element set, then chasing limbs of a user, generating a user limb image set, restoring an environment basic tone, obtaining display content of the all-in-one machine and carrying out content semantic analysis, and finally obtaining a user limb image set. Calculating interaction intensity to obtain content interaction intensity data, speculating a user body language and performing user intention prediction in combination with the interaction intensity data, adjusting display content of the all-in-one machine based on the predicted user operation intention, generating simulation adjustment content, performing composition optimization through a scene element set, and generating updated display content. The method for controlling the computer and television all-in-one machine is more accurate and more efficient.

The invention relates to the technical field of transformer fault early warning, and provides a transformer fault early warning method and system under multi-source data. The method comprises the following steps: carrying out fault-free temperature distribution prediction on environment temperature and transformer control parameters to obtain reference temperature distribution information; performing fault-free audio feature prediction on the transformer control parameters to obtain reference audio feature information; performing fault-free electrical parameter prediction on the transformer control parameters to obtain reference electrical characteristic information; performing fault prediction based on the reference temperature distribution information, the reference audio feature information and the reference electrical feature information to obtain a fault prediction type; and when the fault prediction type is non-null, generating a transformer fault early warning signal to give an alarm. According to the method and the device, the technical problem of insufficient analysis result accuracy caused by single feature information source in traditional transformer fault analysis is solved, and the technical effect of improving transformer fault prediction accuracy and early warning timeliness through a multi-source data fusion and comprehensive prediction method is realized.

The invention relates to the field of vehicle battery control, in particular to an anti-theft starting battery control method and system based on multi-source data. The method comprises the following steps: acquiring real-time vehicle multi-source monitoring data; performing in-vehicle unmanned inference on the real-time vehicle multi-source monitoring data, generating an in-vehicle unmanned signal, and entering a vehicle unmanned mode; when the vehicle is in the vehicle unmanned mode, obtaining vehicle component voltage state data; performing minimum-voltage continuous power supply based on the vehicle component voltage state data, and acquiring vehicle real-time anti-theft state data; and vehicle starting voltage real-time monitoring is carried out according to the vehicle real-time anti-theft state data, sudden change recognition is carried out, and starting voltage sudden change data are extracted. Through multi-source data analysis, when it is monitored that the vehicle is stolen, battery output is cut off, power is continuously supplied in other time, the safety anti-theft performance of the vehicle is improved, and daily vehicle data are protected.

The invention discloses an advertisement signboard playing method based on passerby vision and an advertisement signboard, and relates to the field of image processing. The method is applied to an edge server, the edge server is in communication connection with one or more advertisement signboards in a target area, and the method comprises the following steps: obtaining target images of passersby in the area range of the advertisement signboards; obtaining visual features and group features of pedestrians in the target image, and determining one or more target advertisements based on the visual features and the group features; obtaining a track of a pedestrian in the target image; and controlling one or more advertisement signboards to play each target advertisement based on the track. By implementing the technical scheme provided by the invention, the advertisement putting effect can be improved.

The invention discloses a customer relationship management prediction maintenance method based on deep learning. The method comprises the following steps: collecting customer data and preprocessing the customer data; feature engineering extraction is carried out; establishing a customer loss prediction model by combining elastic weight integration and an enhanced dynamic generative adversarial network; adjusting a model structure and parameters by using a heterogeneous graph neural network and deep algebraic geometry learning; capturing a time dynamic state through a recurrent neural network to perform real-time data flow analysis; generating a personalized recommendation scheme by applying collaborative filtering analysis; and predicting faults and taking maintenance measures by combining long and short-term memory network monitoring equipment data. Through the steps, the prediction accuracy, the personalized service level and the resource configuration efficiency are improved, and the customer loss and the maintenance cost are reduced.

The invention provides an optical storage DC flexible power distribution system and a regulation and control method thereof, and the system comprises a plurality of transformer area systems carried in a plurality of transformer area energy stations and a plurality of household subsystems carried in a plurality of household energy walls. The transformer area system comprises a static change-over switch, an isolation transformer, a bidirectional energy converter and the like. The transformer area system takes power from a power grid and supplies the power to a direct-current bus. The household subsystem comprises a photovoltaic module, an energy storage module, a charging pile, a direct-current load, an alternating-current load and an energy management system controller, and the household subsystem is connected to the direct-current bus; the plurality of transformer area systems are connected to the lower end of the static change-over switch, and the plurality of household subsystems are connected through a direct current bus. According to the optical storage direct flexible power distribution system provided by the embodiment of the invention, interaction between a power grid and a transformer area, between transformer areas, between transformer areas and users and between users can be perfectly adapted, multiple transformer areas are combined into a whole, the electric energy dispatching capability is improved, and work such as peak load shifting and response to a virtual power plant can be better realized.

The invention relates to the technical field of building management, in particular to a digital building management system based on BIM, and the system comprises a data collection module which collects the worker position information, equipment operation parameters and environment monitoring data of a construction site, and obtains a site data set; and performing time sorting and space mapping on the worker position information and the equipment operation parameters in the field data set to generate construction state data. In the invention, aiming at the problems that a project management mode is extensive, the digital management degree is not high and the business process is not efficient enough, the construction activity record can be generated by tracking and analyzing the positions of workers and equipment on the construction site, and the transparency and the execution efficiency are improved. Through comprehensive comparison of construction records and BIM model data, project monitoring is more accurate, and activities deviating from a predetermined plan can be found in time, so that resource configuration and work arrangement are rapidly adjusted, and it is guaranteed that the project is completed on schedule. The intelligent matching of the acquired material position information and the demand data reduces the material waste, optimizes the cost management, and improves the resource utilization rate at the same time.

The invention provides a self-service terminal equipment security protection processing method and system, which not only strengthens the identification of user identity information and the establishment of an access session, but also particularly emphasizes the limitation of an interface use range based on a verification result, and realizes the real-time monitoring and response of external storage medium connection activities on the basis; more importantly, once potential risks are found, a protection mode of the file system is started immediately, and unauthorized data writing behaviors are stopped in time; meanwhile, in combination with prevention measures, the system can deeply analyze all data reading attempts, potential risk data items are rapidly isolated, and detailed security log records are generated; in this way, the security and defense capability of the self-service terminal equipment are remarkably improved, and a more reliable service environment is provided for users.

The invention relates to the technical field of medical rehabilitation instruments, and discloses an exoskeleton robot for fracture auxiliary rehabilitation. The robot comprises a shear deformation sensing assembly, a shape memory alloy locking assembly and a joint driving module. The shear deformation sensing assembly comprises a fixed shell, a flexible liner arranged on the inner side of the shell and a sensing beam connected between the shell and the liner. The shape memory alloy locking assembly comprises a locking pin arranged in the connecting rod structure, a shape memory alloy driving piece in linkage with the locking pin and a locking part located on the connecting rod structure and corresponding to the locking pin in position. And the strain gauge is electrically connected with the shape memory alloy driving piece. Transverse micro-slippage representing shearing risks is directly sensed through a mechanical structure, rigid mechanical locking is triggered in a linkage mode, and therefore rapid and reliable physical protection is provided for a fracture part, and secondary injury in rehabilitation training is effectively prevented.

The invention provides a blind guiding system, a blind guiding method and a blind guiding waistcoat, and relates to the technical field of blind guiding assistance, the system comprises an ultrasonic sensor for monitoring surrounding obstacles, a camera for acquiring traffic light image data, a microphone for acquiring human voice signals, and a positioning module for acquiring satellite signals; the obstacle avoidance module performs early warning on surrounding obstacles and outputs early warning information to the loudspeaker for playing; the traffic light recognition module inputs the traffic light image data into a pre-trained traffic light recognition model and outputs a traffic light recognition result to a loudspeaker for playing; the voice recognition and broadcast module performs voice recognition processing on the human voice signal and outputs a voice interaction result to the loudspeaker for playing; the navigation module carries out path planning processing on the satellite signals and outputs navigation information of path planning to the loudspeaker for playing. According to the invention, the environment identification precision and accuracy can be effectively improved, and the life quality and autonomous movement ability of visually impaired people are improved.

The invention provides an urban infrastructure damage real-time monitoring and response method and system. A plurality of image sensors arranged at a plurality of key parts of urban infrastructure are used for acquiring images of the infrastructure in real time and constructing an image sample library of infrastructure damage through acquired image data; receiving and processing the image data, and extracting key features; and processing and analyzing the real-time monitoring image data, identifying the damage condition of the infrastructure, and evaluating the damage degree. Through infrastructure damage feature memory and a generalization association technology based on diffusion generation, real-time monitoring, accurate identification and rapid response of urban infrastructure damage problems are realized. According to the invention, the efficiency and accuracy of city management and emergency rescue are improved, and powerful data support is provided for intelligence and refinement of city management.

The application discloses an active intrusion prevention method, relates to the technical field of system network security, and aims to solve the problems of low detection precision and detection lag of existing network abnormal intrusion, and comprises the following steps: obtaining preprocessed network data; performing multi-dimensional traffic data analysis on the network data to obtain the network data labeled with network state credibility measurement results and various sub-dimension measurement labels; calculating the labeled network data through a machine learning classification algorithm to obtain characteristic behavior classification of the network data; and performing suspicious node detection through fine-grained real-time measurement according to the classification results and updating a security strategy. The application further discloses an active intrusion prevention device. The application can quickly analyze network intrusion through multi-dimensional analysis of network data and machine learning.

A synaptic transistor device with a wide spectral response is characterized by comprising: a floating gate layer for capturing light signals of different wavelengths to generate photogenerated carriers; a tunneling layer disposed on the floating gate layer for storing photogenerated carriers generated within the floating gate layer; an active layer disposed on the tunneling layer for transporting charge carriers and photogenerated carriers; source and drain electrodes, two source and drain electrodes symmetrically disposed on the active layer for providing a driving voltage to drive the flow of charge carriers and photogenerated carriers in the active layer, forming a circuit; a substrate disposed at the bottom of the synaptic transistor device for serving as the basis for fabricating the synaptic transistor device; a gate electrode disposed on the substrate for inducing charge carriers in the active layer; and an insulating layer disposed between the gate electrode and the floating gate layer for isolating the gate electrode and the active layer from conduction, wherein the floating gate layer is made of quantum dots with a wide spectral response, and a heterojunction structure is formed between the floating gate layer and the active layer.

The invention provides an acid rock reaction kinetics testing device and method, and relates to the technical field of acid rock reaction kinetics test.The device comprises a reaction kettle, a rotation driving part is arranged in the reaction kettle, and the rotation driving part is used for being connected with a rock core sample and can drive the rock core sample to rotate in the reaction kettle; a first heating part is arranged on the outer side of the reaction kettle; the acid injection structure is connected with the liquid inlet pipeline of the reaction kettle, and the acid injection structure is used for being connected with a gas source; the cooling structure is connected with a liquid outlet pipeline of the reaction kettle; the reinjection structure is connected with an output pipeline of the cooling structure and is connected with the acid injection structure through a reinjection pipeline; the problems that in the acid rock reaction kinetics testing technology in the prior art, spraying of steam-state spent acid can affect the sampling precision of the spent acid and form potential safety hazards, and for a high-temperature and high-pressure reaction kettle, a large amount of time needs to be consumed for cooling after each test, and continuous testing cannot be conducted are solved.

The invention discloses an image processing method for multidirectional edge texture filtering and a related device, which are used for improving the accuracy and robustness of edge detection. The method comprises the following steps: acquiring a shot image of a display screen to be detected, and performing corner correction on the shot image to obtain a standard image; a target weight sequence is generated based on the filtering step length parameter and a sine function, the target weight sequence is selectively inverted according to an input polarity parameter, the polarity parameter is used for controlling edge detection directions, and the edge detection directions comprise positive polarity edge detection, negative polarity edge detection and bipolar edge detection; a target convolution kernel is constructed according to input direction parameters, polarity parameters and a target weight sequence, the direction parameters are used for controlling filtering directions, and the filtering directions comprise column direction filtering, row direction filtering and multi-direction filtering; and performing convolution operation on the standard image based on the target convolution kernel, and integrating the output images according to the polarity parameter and the direction parameter to obtain a target image.

This utility model relates to the field of public security technical prevention data governance, and in particular to an intelligent verification device for public security technical prevention data quality governance. The device includes: a core processing module, including a programmable logic chip and an asynchronous cache unit; a multi-source input module, including multiple types of physical interfaces and a protocol conversion unit, wherein the multiple types of physical interfaces include at least one network interface and one serial interface, and the protocol conversion unit is used to convert heterogeneous data into a standard format; a data arbitration module, including a data selection unit, a conflict detection unit, and a time synchronization module. By setting up the multi-source input module, various technical prevention devices can be connected to achieve standardized processing of heterogeneous data and adapt to complex security scenarios; by setting up the asynchronous cache unit, inconsistent time data is efficiently cached, and in conjunction with the time synchronization module, the time base is ensured to be unified; by setting up the conflict detection unit, real-time detection and response to device ID conflicts can be achieved.

The present application relates to the field of agricultural machinery control technology, and particularly relates to a hybrid power tractor intelligent power distribution method based on multi-domain joint control, comprising the following steps: S1, collecting power domain, chassis domain and operation domain data of the hybrid power tractor, and constructing a multi-domain perception graph reflecting current working condition requirements; S2, based on the multi-domain perception graph and power data, fusing operation energy-saving priority and traction load, and constructing a multi-source power supply and demand mapping model; S3, according to the supply and demand mapping model, selecting an optimal driving mode, combining the efficiency, energy and thermal load of each power source, outputting driving switching logic and power distribution instructions, and realizing intelligent power scheduling. The present application realizes intelligent driving mode switching and efficient power distribution of the hybrid power tractor under different working conditions, and improves operation energy efficiency and system response capability.

The invention discloses a unified operation and maintenance alarm method, system and terminal for Internet of Things data, and the method comprises the steps: obtaining the Internet of Things data, and carrying out the preprocessing of the Internet of Things data, and obtaining the Internet of Things standard data; performing graphical processing and initial convergence processing on the Internet of Things standard data to obtain a monitoring statistical result; performing service data extraction processing and alarm calculation processing on the Internet of Things data to obtain an alarm fault result; and carrying out re-convergence processing on the monitoring statistical result and the alarm fault result to obtain a unified service convergence result. According to the invention, by collecting the data of the Internet of Things in real time and carrying out monitoring and alarm judgment on the data of the Internet of Things, intelligent alarm classification, analysis and response on the operation and maintenance data of the Internet of Things can be realized, and meanwhile, through a mode of combining operation monitoring and fault alarm, the operation and maintenance processing efficiency of alarm events can be effectively improved; and the normal operation of equipment is ensured.

The invention provides a reduction response metal organic framework material and a preparation method and application thereof, and belongs to the field of nano sensing, an organic ligand of the metal organic framework material is diacid containing disulfide bonds, and coordination metal is Fe < 3 + >; the metal organic framework material is of a three-dimensional net structure. The invention provides a method for preparing a disulfide bond-based reductive response metal organic framework material by a solvothermal method, and a brand new metal organic framework structure is synthesized. The MOF-SS prepared by the method has disulfide bonds in an organic ligand structure, can realize response to a reducing agent (such as mercaptan), and enriches application choices of MOFs in the field of intelligent response. The obtained product is high in yield and uniform and stable in particle size, and the process is simple and non-toxic.

The application relates to the technical field of artificial intelligence, and discloses a user emotion memory method, system, device and storage medium, the method comprising the following steps: receiving a current query input by a user and acquiring historical interaction data; analyzing the current query and the historical interaction data to generate a current emotion state vector containing a current emotion label, a current emotion intensity and a trigger topic; based on the trigger topic and the current emotion label, searching for relevant historical emotion memory data from a pre-constructed emotion memory library, the emotion memory library containing a plurality of emotion memory entries with memory weights; taking the current query, the current emotion state vector and the searched historical emotion memory data as input contexts, and generating a target reply by using a large language model; and according to the current emotion intensity in the current emotion state vector. By introducing a weight updating mechanism based on the emotion intensity, the application realizes quantitative management and dynamic evolution of emotion memory.

The invention discloses a three-dimensional presentation type intelligent operating system and an interaction method thereof, and the method comprises the steps: constructing and storing three-dimensional scene model geometric information data and corresponding attribute information data, generating node bins at the geometric points of a three-dimensional scene model, synchronously filling corresponding data sources and corresponding target files into each node bin, and storing the data sources and the target files. The method comprises the steps of intelligently obtaining an external operation instruction, calling attribute information data in a three-dimensional scene model, calling a data source under the current attribute information data and a corresponding target file, and outputting a logic processing result and a display interface in real time. The system has strong data analysis capability, provides personalized customization services for users, meets different user requirements, and solves the problems that an existing three-dimensional operation system focuses on third-party display, neglects three-dimensional display of internal resources of a computer and is not high in three-dimensional degree.

The invention discloses an intelligent manufacturing advanced plan scheduling system, method and device, and relates to the technical field of manufacturing plan scheduling, after processing task data in a processing area is collected, corresponding processing workers are recommended for subtasks from a worker capability database by a recommendation algorithm; carrying out production scheduling on each sub-task, then carrying out simulation testing, selecting a scheduling scheme as a target scheme, collecting production environment data in a processing area, then carrying out abnormity identification, carrying out adaptive adjustment when abnormity exists, carrying out fault prediction on processing equipment in the processing area, and carrying out fault prediction on the processing equipment in the processing area. And carrying out fault maintenance or performance optimization on the equipment according to the obtained fault prediction data, matching a corresponding improvement plan according to key factors, and sending an improvement report to a data receiving end after a time interval conforming to a constraint condition. And the current scheduling scheme is adjusted again, so that the scheduling scheme can adapt to the current real-time scene and the production state.

The present application discloses an image processing method and related device for multi-directional edge texture filtering, which are used to improve the accuracy and robustness of edge detection. The present application method includes: obtaining a captured image of a display screen to be detected, and performing corner correction on the captured image to obtain a standard image; generating a target weight sequence based on a filtering step size parameter and a sine function, and selectively reversing the target weight sequence according to an input polarity parameter, the polarity parameter is used to control the edge detection direction, and the edge detection direction includes positive polarity edge detection, negative polarity edge detection, and bipolar edge detection; constructing a target convolution kernel according to the input direction parameter, polarity parameter, and target weight sequence, the direction parameter is used to control the filtering direction, and the filtering direction includes column direction filtering, row direction filtering, and multi-directional filtering; performing a convolution operation on the standard image based on the target convolution kernel, and integrating the output image according to the polarity parameter and the direction parameter to obtain the target image.

The present invention discloses a method for preparing an infrared spectroscopy device with bias-controlled quantum dot gradient-doped PN junction, comprising: using surface ligands to control the doping concentration and type of quantum dot film, designing and obtaining a detector structure of "strong P-type-sub-strong P-type-weak P-type-intrinsic-N-type layer" and "large bandgap-medium-large bandgap-medium bandgap-medium-small bandgap-small bandgap"; using bias control to achieve different responses of quantum dot gradient-doped PN junction infrared detector to different spectra, and preparing an infrared spectroscopy device with bandgap-doped double-gradient PN junction. The spectroscopy device prepared by the present invention does not require a complex spectroscopic optical path or microstructures such as filters designed for specific spectral bands. It only needs to regulate the bias voltage of the detector to distinguish the spectrum, while achieving miniaturization and high photon utilization efficiency.

The invention discloses a preparation method of a multifunctional cuprous oxide-based nano-composite antibacterial material, which comprises the following steps: adding a copper salt and a proper amount of deionized water into a reaction kettle, heating to 45-60 DEG C, uniformly stirring, adding a surfactant, slowly dropwise adding a pH regulator until the pH is 9-10, reacting for 2-3 hours, adding a reducing agent until the precipitate becomes brick red, filtering, washing, and drying to obtain the cuprous oxide-based nano-composite antibacterial material. Adding a zinc salt, a titanium salt, a silver salt, a platinum salt, a cerium salt and a lanthanum salt, adding a pH regulator until the pH value is 9-10, continuously stirring for 60-90 minutes, standing, filtering out water, and drying the precipitate to obtain the multifunctional cuprous oxide-based nano composite antibacterial material. The method disclosed by the invention is simple in process, the reaction process is easy to control, and the prepared cuprous oxide-based nano composite antibacterial material has excellent multiple effects of rapid sterilization, lasting bacteriostasis, mildew prevention, virus resistance, formaldehyde removal, odor removal, wastewater and sewage degradation and the like.

The present application relates to the technical fields of wastewater evaporation crystallization, and discloses an electric heating type wastewater evaporation crystallization dryer, which comprises a rack, a transmission shaft and a disc arranged on the transmission shaft, and a spiral electric heating device arranged between the discs, which is used for continuously heating the discs to realize wastewater evaporation crystallization. The device drives the disc to rotate through a driving assembly, and sprays wastewater on the surface of the disc in a fan-shaped spraying manner through a liquid spraying assembly to form a liquid film, so that continuous evaporation crystallization is realized under the action of heating and rotation. The crystallization layer moves into the processing assembly area with the disc, the processing assembly cooperates with a thickness adjusting assembly to realize self-adaptive detection of the thickness of the crystallization layer and adjustment of the scraping gap, and a pre-crushing treatment is performed on the crystallization layer through a crystal breaking assembly, so that the subsequent scraping efficiency is improved. Meanwhile, a gas cleaning assembly sends heated gas flow to the scraping and crystal breaking areas to realize anti-adhesion and cleaning effects, and a collecting assembly is used for continuously collecting and discharging the crystallization dry material after scraping.

The embodiment of the invention discloses an empty bus scheduling method and system for a demand response type bus. The method comprises the steps that S1, station information and vehicle information of the demand response type bus are determined; s2, constructing an empty vehicle scheduling matching model; s3, constructing a solution algorithm of an empty bus scheduling problem of the demand response type buses, and solving the empty bus scheduling problem of the demand response type buses; and S4, obtaining an optimal scheduling decision of each vehicle, scheduling an empty vehicle according to the decision, and updating new vehicle information, station information and parking station state information. According to the invention, the operation efficiency of the demand response type public transportation system can be obviously improved, so that the system can better cope with the station demand. The method can help to optimize an empty vehicle scheduling strategy, and enables the empty vehicles to be reasonably matched with station demands.