35results about How to "Improve operational capabilities" patented technology

The invention relates to the technical field of aerospace, in particular to a vertical take-off and landing airport scheduling method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining the state information of each aircraft associated with a vertical take-off and landing airport within a preset time period; and determining at least one scheduling strategy of the vertical take-off and landing airport based on the overall structure of the vertical take-off and landing airport and the state information of each associated aircraft, and performing scheduling according to the optimal scheduling strategy. According to the method, the scheduling process can be more comprehensively optimized, the urban air traffic congestion is effectively relieved, the flight delay cost is reduced, and the overall operation efficiency of the vertical take-off and landing airport is improved.

The invention relates to a block chain-based power Internet of Things terminal security access method and system. The method comprises the following steps of S1, dividing a virtual local area network; s2, deploying an SDN controller to manage and control network traffic; s3, performing decentralized identity recognition by using a block chain, and executing an automatic identity authentication process by using a smart contract; s4, carrying out preliminary identity verification based on the certificate, and carrying out secondary authentication in combination with the biological characteristics and the position information of the Internet of Things equipment; s5, performing uplink according to the critical degree, generating a unique fingerprint of the data by using a hash function, and storing the unique fingerprint in a block chain to ensure data integrity and prevent tampering; and S6, applying a strong encryption algorithm in a transmission layer and a data storage process to ensure data security and realize a homomorphic encryption technology, so that data operation is performed in an encryption state, and privacy is protected. According to the invention, the efficiency and security of terminal access are improved, and comprehensive protection and flexible management of the network and data are realized through the block chain and SDN technology.

The invention provides a dynamic price adjustment method and device based on an online car-hailing supply-demand relationship, a medium and equipment, and the method comprises the steps: determining a current honeycomb region located in a target city, and obtaining historical order data and quasi-real-time order data in the current honeycomb region; based on the historical order data and the quasi-real-time order data, analyzing supply and demand related indexes of the current honeycomb area; the supply and demand related indexes comprise historical supply and demand related indexes and quasi-real-time supply and demand related indexes; calculating a historical price adjustment rate and a quasi-real-time adjustment rate based on the historical supply and demand related indexes and the quasi-real-time supply and demand related indexes respectively; calculating a final price adjustment multiplying power based on the calculated historical price adjustment multiplying power and the quasi-real-time adjustment multiplying power; and performing price adjustment on the online car-hailing order of the current honeycomb area by using the final price adjustment multiplying power. According to the invention, historical and real-time data are comprehensively considered, multiple indexes are integrated, the weight is set to judge the supply and demand relationship of the online car-hailing platform, the price adjustment rate is dynamically adjusted, and the operation effect of the online car-hailing platform is greatly improved.

The invention discloses an electricity-carbon cooperative intelligent pushing method based on user portraits, and belongs to the field of electricity-carbon cooperative intelligent pushing, and the method comprises the following steps: S1, collecting and classifying annual historical load data and time-of-use electricity price data sets of users; s2, extracting a seasonal typical daily load curve and a typical time-of-use electricity price curve; s3, calculating daily electricity price demand elasticity of workdays and weekends; s4, constructing a user portrait; s5, elastically grading the electricity price demands of the users; and S6, respectively pushing a differentiated power purchase strategy and a carbon emission reduction supervision strategy to the price-sensitive user and the price-insensitive user. According to the electricity and carbon cooperative intelligent pushing method based on the user portraits, the user portraits are accurately depicted based on the user electricity price demand elastic coefficients, so that the platform can customize differentiated strategies for different types of users, the operation capability of the supervision platform is improved, and the method has good application value.

The invention discloses a customer transaction service visual monitoring method, which comprises a transaction channel, a transaction log database and a front-end monitoring interface which are communicated by adopting a network, log data of customer service transactions are obtained through the transaction channel and are stored in the transaction log database; data needing to be monitored are integrated in a data integration layer of the transaction log database according to a data model, the data are calculated and processed, transaction data are transmitted to a front-end monitoring interface through an API interface, and the front-end monitoring interface presents the current customer transaction situation through a graph; the transaction log database is stored in the local server and / or the cloud server; and the rear end of the front-end monitoring interface is deployed on a local server, so that real-time monitoring of customer transactions can be realized, monitoring personnel can conveniently and quickly distinguish problem sources and make responses, support guarantee is provided for quick operation and maintenance, and the overall operation capability of services is improved.

The invention discloses a method, system and related product for performing release management on an operation activity, and the method comprises the steps: determining a plurality of agents for performing release management on the operation activity and release management role information corresponding to each agent according to a standard operation process of the operation activity, a putting management process of a plurality of intelligent agents is set, and the intelligent agents are connected with a first robot used for executing operation; performing role debugging on the plurality of agents according to the release management role information and the release management process to obtain the plurality of agents after role debugging; and realizing delivery management of the operation activity according to a delivery management process by using the plurality of intelligent agents subjected to role debugging and the robots connected with the intelligent agents. By utilizing the scheme disclosed by the invention, the personalized group operation service can be realized, and various operation operations can be executed in the user group, so that the group operation effect is improved.

The present invention relates to artificial intelligence technology, and discloses a method for subscribing to public account messages based on user customization, including: collecting user behavior data, calculating user categories and corresponding historical preferences, as well as predicting preferences, and drawing a personalized recommendation list; storing content and user subscription relationships in a public account database, creating a subscription interface, and updating the public account database in real time to obtain an updated database; setting a middleware cluster, creating a public theme middleware, and when a public account publishes an article, sending the article to the public theme middleware in the form of a message, performing personalized screening on the article, and obtaining a target message; sending the target message to the personalized theme middleware, searching for the subscribers of the public account corresponding to the target message, and pushing the target message to the user. The present invention also proposes a public account message subscription system based on user customization. The present invention can improve the accuracy of user-customized public account message subscription push.

This invention discloses an intelligent empowerment system for automotive after-sales service and its implementation method. The system includes a case collection module, a case review module, a knowledge sharing module, an intelligent recommendation module, a mutual assistance and communication module, a backend data analysis module, and a business empowerment module. Dealer repair personnel can submit standardized fault cases to the platform. After review, a case database is formed. The system calculates recommendation weights based on user profiles, case quality, and interaction data, achieving personalized distribution and precise matching of cases. Users can browse cases, seek help, and engage in interactive learning within the platform, forming a technical mutual assistance community. The backend data analysis module structurally extracts the collected cases and interaction information, generating standardized technical intelligence, and pushes it to business systems such as technical support, warranty management, spare parts planning, and training management, building a two-way empowerment mechanism between OEMs and dealers, and achieving closed-loop management from fault cases to business optimization.

This invention discloses a unified management method and system for provincial and municipal station dispatching, relating to the field of integrated operation and management technology. The method includes: receiving data from provincial and municipal station monitoring equipment, including timestamps, event codes, and associated parameters; analyzing the data to identify data fluctuations; and filtering potential fault signals by comparing historical patterns to obtain initial fault screening results. The unified management method for provincial and municipal station dispatching provided by this invention achieves early identification of fault signals and accurate classification of abnormal patterns by receiving and analyzing data from monitoring equipment. It improves the efficiency and accuracy of data analysis by comparing real-time and historical data, accelerates fault detection and enhances the handling capability of complex abnormal situations by identifying data changes in different time periods, sets alarm response times and processing priorities for different anomaly types to improve emergency response efficiency, optimizes network traffic management strategies and data transmission paths, reduces processing latency, improves network performance and stability, and effectively enhances operational efficiency and user experience.

The invention discloses a supply chain management method and device for cross-border e-commerce, and relates to the technical field of logistics management. According to historical transaction data, determining statistics of each feature and target commodity sales volume in each time period, and sorting the statistics from high to low to obtain a feature correlation sorting set; and obtaining a first preset number of features in the feature correlation sorting set to obtain a second feature set, performing effective feature screening on the second feature set through sequential forward selection, performing clustering, performing sales prediction to obtain predicted sales, and performing supply chain management according to the predicted sales of all retailers. Through deep analysis of different features and a sequential forward selection method, features most relevant to sales volume prediction can be screened out, unnecessary noise and errors are reduced so that a prediction result is more accurate, then resource allocation is performed according to the prediction result, the phenomena of stock overstock and stockout caused by uneven resource allocation are avoided, and the resource allocation efficiency is improved. And the efficiency and the operation effect of the supply chain are improved.

The invention discloses a corrugated paper production line virtual debugging and operation optimization system based on digital twinning. The system comprises a digital twinning building module, a multi-dimensional model building and training module, a dominant variable recognition module and a virtual debugging and optimization module. The digital twin construction module is used for acquiring physical entity data and operation condition data of a production line and constructing a digital twin consistent with the physical production line; and the multi-dimensional model construction and training module is used for synchronously constructing a multi-physical sensitive dimension model in the digital twin for key processes of a production line, and relates to the technical field of corrugated paper production. According to the corrugated paper production line virtual debugging and operation optimization system based on digital twinning, by constructing the digital twinning body and the virtual debugging module, the production process can be debugged and optimized in advance in a virtual environment, the debugging period of a traditional production line is remarkably shortened, and the debugging cost and risk in actual production are reduced.

The present invention discloses a method and device for displaying business icons, and relates to the field of computer technology. A specific implementation of the method includes: determining the order and number of various types of display positions in a business icon display area; determining business screening rules corresponding to the various types of display positions; based on the number of the various types of display positions and the screening rules, determining a target business from a list of businesses to be displayed, so as to display the icon of the target business in the business icon display area in the order. By setting various types of display positions and corresponding business screening rules, this implementation can flexibly set the businesses displayed in the display area, provide users with a business display order that better meets user needs, and enhance business value and operational capabilities.

The invention relates to the technical field of information, and discloses a merchant multi-video-number sales operation system and method based on data linkage, and the system comprises a real-time monitoring module, a data cleaning module, a data collection module, a data processing module, an optimization module and a management module. According to the real-time monitoring, data of multiple video numbers of a merchant is monitored in real time through monitoring equipment and a sensor so as to obtain a data source, a data cleaning module deletes, cleans and corrects the obtained data, a data acquisition module calculates a cross-platform integration index # imgabs0 #, inventory management accuracy # imgabs1 # and cross-platform operation integration efficiency # imgabs2 #, and the cross-platform integration index # imgabs0 #, the inventory management accuracy # imgabs1 # and the cross-platform operation integration efficiency # imgabs2 # are integrated into a database. The optimization module correspondingly adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the calculation result, and the management module adjusts the parameters of the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit according to the adjustment information. And an optimization instruction is issued to the platform data acquisition unit, the merchant inventory data acquisition unit, the user portrait construction unit and the visual display unit.

The application discloses a kind of supply chain data quality automatic check and closed loop management method and system, it is related to supply chain digital technology field, including the following steps: the supply chain authority source list obtained is input into the preset check rule set, according to rule check result extraction problem field set;Problem field set is injected into DCAN responsibility mapping mechanism, and the ability matrix is output through the pre-constructed multi-modal responsibility intelligent agent, and the responsibility proportion weight of responsibility subject is calculated based on ability matrix;The responsibility proportion weight is input into responsibility allocation decision model, and the allocation responsibility of corresponding responsibility subject is output;According to allocation responsibility, dispatch problem rectification task to corresponding responsibility subject;If it is detected that rectification fails, then extract rectification failure field set, and according to the preset responsibility transmission path, rectification failure field set is transmitted to secondary responsibility subject, and the problem is solved until execution cycle is performed.This application is used to solve the problem that data responsibility attribution is not clear, rectification task is dispatched, and there is lack of tracking after rectification process is broken.

The invention provides an operation work order generation method for an unmanned retail terminal, and the method comprises the steps: employing an operation work order generation server, pre-storing a historical operation work order in the operation work order generation server, carrying out the work order analysis of the consumption data corresponding to each region and the environment data corresponding to each region through the operation work order generation server, and carrying out the calculation of the work order. Analyzing to obtain a matching value corresponding to the region; according to the matching value corresponding to the area, the unmanned retail terminal of the area analyzes a service demand index corresponding to the current matching value of the area; analyzing a current goods demand index of the area according to the service demand index corresponding to the area; and obtaining the historical data processing efficiency of each work order in a preset area of the unmanned retail terminal, and calculating the service demand time corresponding to the service area of each work order according to the historical data processing efficiency of each work order and the service demand quantity corresponding to the area corresponding to the service demand index corresponding to the service area of each work order.

The application discloses a pipeline inspection and cleaning device, which comprises a support body composed of a support and a support part pivotally connected to the outer side of the support, a driving assembly is arranged on the support, and the support part is driven to open or fold outward with the support as the center when the driving assembly works; a pipeline inspection part is connected to the front end of the support body, and the pipeline inspection part comprises an inspection base, a CCD inspection head and a high-pressure air jet head; a cleaning part is detachably connected to the pipeline inspection part through a limiting and damping assembly, and the cleaning part comprises a steel brush and a cutting piece connected to a clutch connecting shaft, and an adjusting assembly is arranged on the outer periphery of the clutch connecting shaft. The device is suitable for pipelines with different diameters, has the functions of rapid inspection and rapid cleaning, and can quickly complete the task of inspecting and cleaning pipelines. The device can greatly reduce the risk of pipeline blockage by periodically inspecting and dredging low-lying sections with high risks, thereby improving the operation capacity of the tramcar and avoiding damage to the tramcar.

The invention provides a method for calculating the trafficability of trains at the entrance and exit areas of an urban rail transit vehicle base. The method comprises the following steps: S1, file processing; s2, parameter configuration; s3, throat area operation route identification; s4, train receiving and dispatching sequence optimization and trafficability analysis; s5, generating a trafficability analysis report; according to the method, the functions of automatic design file processing and analysis, intelligent detection and correction of drawing errors, accurate evaluation of the throat area passing ability and comprehensive passing ability analysis report generation are achieved, the automation degree of design file processing is remarkably improved, the requirement for manual operation is reduced, the processing and analysis efficiency is also improved, and the method is suitable for popularization and application. The limitation of the prior art in the aspects of route conflict processing and train receiving and dispatching sequence optimization is effectively overcome, the operation capacity of the throat area of the vehicle base is remarkably improved, and powerful technical support is provided for continuous optimization and upgrading of a rail transit system.

This application discloses a port route planning method, system, device, and storage medium based on virtual lanes. First, based on a pre-built lane grid index, the starting and ending lanes of the target vehicle are quickly located. Second, based on the obstacle and structural information of the current lane, a set of key lane-changing points formed by obstacles and / or process constraints is extracted. Then, the actual lanes and the virtual lanes generated based on the key lane-changing points are used together as graph nodes, and a weighted topology graph is constructed with travel cost as the edge weight. Next, the optimal path from the starting lane to the ending lane, passing through all key virtual lane nodes in sequence, is obtained based on the shortest path algorithm. Finally, the optimal path is converted into an executable path point sequence containing the key lane-changing points. This method can efficiently adapt to the dynamic operating environment and process constraints of ports, improving the flexibility and efficiency of route planning.

The invention relates to the technical field of hot-rolled steel structure product manufacturing, in particular to a hot-rolled steel structure product manufacturing informatization system platform. Comprising a product management module, an order management module, a production management module, an inventory management module, a quality control module, a data analysis module and an artificial intelligence module. Through cooperative operation and data sharing of the modules, comprehensive management and optimization of business links such as products, orders, production, inventory, quality, data analysis and artificial intelligence are realized. The operation efficiency, the product quality, the customer satisfaction and the economic benefit of an enterprise are improved, and powerful support and guarantee are provided for digital transformation and intelligent development of the enterprise.

Methods, systems, and media for determining lifecycle data for onboard electronic devices are disclosed. The method comprises the following steps: acquiring an onboard configuration list of an aircraft, wherein the onboard configuration list comprises the configurations of all current onboard electronic equipment on the aircraft; a ground configuration list and running time information are obtained from a ground database before the current leg starts, the list comprises the recorded configurations of the electronic devices contained in the aircraft, and the running time information comprises the recorded running time of each electronic device; comparing the configuration of each airborne electronic device with a ground configuration list to determine initial running time, wherein the initial running time represents the running time of the corresponding airborne electronic device before the current leg; determining the leg running time of each airborne electronic device, wherein the leg running time represents the running time of the corresponding airborne electronic device in the current leg; and determining lifecycle data based on the initial runtime and the leg runtime, including a configuration and a cumulative runtime of the respective airborne electronic device.

The invention discloses a statistical storage method and system based on saas area orders and a transport capacity supply and demand board. The invention relates to the technical field of saas internet designated driving platforms. The order monitoring module monitors a data stream at an order side and captures a passenger event in real time; a transport capacity monitoring module starts to monitor data streams of an asset side and a position side, and driver events are captured in real time; setting data types, formats and conditions required to be captured by the order monitoring module according to business requirements; by monitoring a data source in real time and capturing a dynamic event and combining an efficient data preprocessing and caching strategy, real-time updating and high accuracy of data are ensured. Therefore, instant and reliable supply and demand information is provided for the user, and a more intelligent decision can be made. Through thermodynamic calculation and dynamic data statistics, supply and demand conditions of different areas and different time periods are accurately revealed. Therefore, the platform can deploy the transport capacity more accurately, and the real-time requirements of passengers are met.

The application relates to the technical field of cloud-edge collaborative computing, in particular to a charging facility resource allocation method and system based on cloud-edge collaboration; the method comprises the following steps: time alignment and fusion of multi-source operation data are carried out on the edge side of a charging station; service tension reflecting real-time pressure of the station is constructed through a load evolution rate, power constraints and queuing density; a user charging request is converted into a packet elastic scheduling unit, so that the demand has the characteristics of migration and extension; service tension and elastic units uploaded by each edge node are converged on the cloud side; a cross-site tension difference collaborative potential field is established; global optimization is carried out with the overall tension balance as the target; structured instructions containing priority, migration suggestion and time correction are generated; charging resources are abstracted into time service slots on the edge side; queues are dynamically reconstructed and local migration is executed according to the instructions; meanwhile, execution deviation is collected and fed back to the cloud side to realize closed-loop optimization. The application realizes efficient self-adaptive allocation of charging facility resources through cloud-edge collaboration.

The invention discloses a province, region and station scheduling unified management method and system, and relates to the technical field of integrated operation management, and the method comprises the steps: receiving province, region and station monitoring equipment data, including timestamps, event codes and associated parameters, analyzing the data, recognizing data fluctuation, and obtaining a fault preliminary screening result by comparing historical modes and screening potential fault signals. According to the province, region and station scheduling unified management method, early recognition of fault signals and accurate classification of abnormal modes are achieved by receiving and analyzing the data of the monitoring equipment, the efficiency and accuracy of data analysis are improved through comparison of real-time data and historical data, and by recognizing data changes of differentiated time periods, the accuracy of data analysis is improved. Fault detection is accelerated, the processing capability of complex abnormal conditions is enhanced, alarm response time and processing priorities are set for abnormal types, emergency response efficiency is improved, a network flow management strategy and a data transmission path are optimized, processing delay is reduced, network performance and stability are improved, and operation efficiency and user experience are effectively improved.

The invention relates to the field of cloud computing services, in particular to a cloud portal expansion method and system. The expansion method provided by the invention comprises the following steps that a first cloud service interaction layer is established based on cloud service resources of a cloud portal, and the first cloud service interaction layer comprises cloud service interface nodes corresponding to all cloud services; obtaining a cloud service interaction demand of a user, wherein the cloud service interaction demand comprises a first type of cloud service demand, a second type of cloud service demand and a third type of cloud service demand; screening at least two target cloud service interface nodes from the first cloud service interaction layer according to a cloud service interaction demand; constructing a second cloud service interaction layer by using the target cloud service interface nodes, wherein the second cloud service interaction layer is composed of the target cloud service interface nodes and data channels between the target cloud service interface nodes; and realizing the cloud service interaction demand of the user based on the second cloud service interaction layer. According to the invention, various cloud service resources can be effectively integrated, and the availability and interactivity of cloud services are improved.

The application provides a highway toll station service capacity dynamic regulation method and system, relates to the highway management and control technical field, and the method comprises the following steps: collecting traffic operation state sensing data, real-time operation data and AI event detection data of the toll station of the highway, and fusing and generating comprehensive operation state evaluation data set; based on the comprehensive operation state evaluation data set, it is judged whether the closing condition of the toll station is met, if the closing condition is met, the closing operation of the toll station is executed, and the temporary closing prompt information is pushed to the vehicle end; if the closing condition is not met, the number of entrance and exit lanes of the toll station is dynamically allocated according to the entrance and exit traffic flow and the average service capacity of the entrance and exit lanes of the toll station, and the slow-down prompt information is pushed to the vehicle end, so that the service capacity of the highway toll station is dynamically regulated to guarantee the smooth road and improve the operation efficiency.

The invention discloses a remote vision monitoring method for a pumped storage power station, and the method comprises the steps: S1, collecting an equipment video image and an equipment infrared full image of the pumped storage power station in real time, and constructing a database for storage; s2, selectively carrying out data preprocessing on the video image of the equipment according to external factors so as to enable the video image to meet a high-resolution requirement, and storing the video image into a database; s3, performing real-time fusion on the equipment video image and the equipment infrared full image in the database by adopting a deep learning model based on a GAN architecture; and S4, transmitting the fused image obtained in the step S3 to a display terminal, wherein the fused image is used for displaying the real-time temperature of the selected site in the equipment video image. Two images of equipment operation are obtained through the camera and the infrared full-image temperature measuring device of the remote vision system, the two images are effectively fused by means of the GAN algorithm, the temperature of key components is displayed while the high definition and resolution of the original image are kept, and the identification accuracy and the remote vision practicability are greatly improved.

The invention relates to an AIoT-based file and creative post operation method and an operation device, and belongs to the field of intelligent equipment and systems. The operation method is operated based on the self-service selling management subsystem, the intelligent guiding and leasing subsystem and the AI interaction operation subsystem. The intelligent guiding and leasing subsystem uploads guiding content information and plays propaganda materials through a screen of an equipment end according to streaming user attributes; a user obtains a commodity picture, a price and a commodity channel number through the self-service selling management subsystem to select a transaction product; the intelligent guide leasing subsystem obtains user identity information, applies for a collection code through a third-party payment platform, prompts payment, and completes leasing or returns to the guide terminal; and the AI interaction operation subsystem carries out posture interaction and voice broadcast with a user. According to the AIoT-based file and creative post operation method and operation device, a closed-loop operation mode of renting, using, returning, purchasing and playing of guide terminals, file and creative commodities and interactive services can be realized, and a one-stop closed-loop operation service is realized.

The present invention discloses a battery swap station or energy storage station, which is used to replace batteries for electric vehicles. The battery swap station or energy storage station is formed by at least two boxes spliced ​​together from top to bottom, and at least two boxes have a connecting part that communicates with each other from top to bottom; multiple charging positions of the battery swap station or energy storage station are arranged in the connecting part in the vertical direction; a guide mechanism is arranged in the connecting part; and a battery transfer device moves up and down along the guide mechanism to take and place batteries from multiple charging positions. With the present invention, the battery swap station or energy storage station is formed by at least two boxes spliced ​​together from top to bottom, which is convenient for transportation and on-site assembly. There is a connecting space between the boxes, and components such as battery compartments, guide mechanisms, and battery transfer devices can be arranged through the space, so as to fully utilize the longitudinal space and save the overall floor space. In addition, the battery transfer device can move up and down in the longitudinal space of the battery swap station or energy storage station under the guidance of the guide mechanism to take and place batteries from multiple charging positions.

The invention relates to the technical field of cleaning equipment operation data analysis, and discloses a cleaning equipment operation data analysis method and system, which can identify the ground type and generate a corresponding environment identifier by acquiring ground reflection light characteristic information. In combination with the ground cleanliness sensor data and the position information of the cleaning equipment, the system can inquire the environment identifier corresponding to the sensor data. On the basis, whether signal fluctuation is caused by environmental reflection characteristics or not is judged by analyzing signal fluctuation characteristics of sensor data according to environmental identification and the signal fluctuation characteristics. The judgment mechanism effectively solves the problem of sensor data misjudgment caused by a high-reflectivity ground material in the prior art.

The present invention provides a visitor identification and multi-dimensional user portrait routing allocation method based on private domain traffic, which relates to the field of data analysis technology, including collecting multi-source data information of visitors from a private domain traffic pool, constructing a multi-dimensional feature vector, generating visitor identity fingerprint features, and establishing a visitor identity recognition model based on the visitor identity fingerprint features; constructing a multi-level label system based on the results of the visitor identity recognition model; using a transfer learning algorithm to extract features from the visitor's historical behavior trajectory data and historical content interaction data, classifying the extracted features based on the multi-level label system to generate user portrait features, dynamically updating the user portrait features through incremental learning, constructing a multi-dimensional user portrait model, and combining the real-time load status of the service node, using a routing allocation strategy to allocate different visitor requests to corresponding service nodes.