37 results about "Business area" patented technology

The invention belongs to the technical field of resource management, and particularly discloses a multi-service domain integrated customizable multi-tenant management system and method, and the system comprises a multi-tenant architecture which is configured to be used for defining different service domains as different service systems, and splitting a plurality of tenants according to different standards under each service system, different organizations are divided under each tenant, and each organization corresponds to different users; the main data management module is configured to be used for defining the dimension relation of basic data according to the relation of tenants, organizations and users under each business system within each year range, and distributing corresponding basic data to each business system; and the portal control module is configured to be used for realizing login operation and entrance authority control of the user. Tenant splitting can be performed according to different standards under different business systems, so that customized design of a multi-tenant framework is realized, and tenant splitting requirements of different business systems can be met.

The invention belongs to the field of artificial intelligence, and relates to an operation authority regulation and control method and device, equipment and a medium, and the method comprises the steps: obtaining the operation behavior data, spatial-temporal feature data and service context data of a user terminal when the target operation of the user terminal on a target system is detected; processing the obtained data to obtain an operation sequence data set; performing anomaly recognition on the operation sequence data set through a long-short-term memory network to obtain an operation sequence anomaly recognition result; calculating an operation path deviation degree of the user terminal through a graph neural network based on the operation sequence data set and the standard operation and maintenance knowledge graph; generating a dynamic risk scoring result based on the operation sequence anomaly recognition result and the operation path deviation degree; and regulating and controlling the operation authority of the user terminal based on the dynamic risk scoring result and the hierarchical authority control strategy. The method can be applied to the business field of financial insurance and the like, and the accuracy and real-time performance of safety operation and maintenance of the target system can be improved.

The invention discloses an internet attack detection method and system. The method comprises the following steps: acquiring access traffic data of a target system in a micro-disturbance environment; if the access traffic data is judged to deviate from the corresponding characteristic parameter range through the double-track behavior baseline model, marking the access traffic data as suspected abnormal attack traffic; and analyzing the suspected abnormal attack traffic based on an AI model, and if the suspected abnormal attack traffic is judged to be a real and effective attack, capturing an access path of an attacker. According to the Internet attack detection method and system provided by the invention, the traffic data is actively acquired by executing self-adaptive perturbation on the non-core service area, and the traffic is subjected to multiple analysis and attack tracking by combining the double-track behavior baseline model and the AI model, so that the hidden attack can expose the characteristics through active intervention to break through the passive defense limitation; the problems that hidden attacks are difficult to recognize through passive defense of a traditional internet attack detection method, and the false alarm rate and the missing report rate are high due to single baseline judgment can be solved.

The invention belongs to the technical field of load balancing, and discloses a printing equipment dynamic load balancing distribution method based on real-time order flow. The method comprises the following steps: acquiring order submission data streams distributed in a plurality of business areas in real time, and constructing an order traffic space-time heat matrix; obtaining an accumulated running time record, a historical fault maintenance log and a periodic maintenance record of each printing device, and dynamically evaluating a residual health life index; obtaining geographic coordinates of each business area and each printing device to form a time delay cost matrix; constructing an equipment load protection weight vector based on the residual health life index of each printing equipment, and carrying out dynamic fusion operation on the equipment load protection weight vector and the time delay cost matrix to generate a scheduling priority scoring matrix; according to the scheduling priority scoring matrix, a final printing task allocation result table is generated, and task scheduling is carried out; according to the method, the optimal scheduling effect can be always kept in a complex and changeable business environment, so that the printing service quality is improved.

The invention discloses a hotel quotation dimension multi-supply chain bidding rotation system, and relates to the technical field of hotel supply chain management. Comprising a data acquisition and integration module for collecting related data of supply chain services of departments in a hotel, docking with a management system in the hotel through an interface, realizing automatic acquisition and transmission of the data, and obtaining external market information through a web crawler technology and an industry data platform interface; and the multi-dimensional evaluation calculation module comprises a price evaluation sub-module, a quality evaluation sub-module, a delivery date evaluation sub-module and an after-sales service evaluation sub-module. According to the method, key topics and key words in policies, regulations and news are extracted, core key points are quickly grasped, and hotels are helped to insight into potential influences of policy and regulation changes on business fields of the hotels in advance; the emotional tendency of policies, laws and hot spot information can be quantified based on emotional analysis, hotels can visually understand market emotions, supply chain strategies can be adjusted in time, and market adaptability is enhanced.

The invention provides a service page display method and device and a storage medium, relates to the technical field of electronic equipment, and aims at reasonably optimizing functional modules in a page and improving the use experience of a user. The method comprises the following steps: acquiring permission information of a target account, wherein the permission information is used for indicating a target service which can be operated by the target account; based on the permission information of the target account, a module arrangement page is displayed, the module arrangement page comprises a to-be-created working area and at least one target service area, and the target service area comprises a plurality of first function modules corresponding to the target service. And in response to a selection operation of the target account on a second function module, adding the second function module to the to-be-created working area, the second function module being any one of the plurality of first function modules. And in response to a page switching operation of the target account, displaying the to-be-created working area on the business operation page.

The invention discloses a hall business guide generation method, system and equipment based on an electronic name plate and a medium, belongs to the technical field of electronic name plates, and aims to solve the technical problem of how to realize that a clerk can conveniently and efficiently acquire latest hall business guide information. According to the technical scheme, the method comprises the following steps: generating and setting electronic name plate information: inputting corresponding unique identification information for an electronic name plate of each service area through a server background management system, and associating a storage path of detailed guide information of services related to the corresponding service area in a server database; the server generates a corresponding two-dimensional code pattern according to the recorded information and a QR code coding rule, and sends the two-dimensional code pattern to the electronic name plate for display; meanwhile, the server stores the identification information of the electronic name plate and the associated information of the related service guide into a database for management; a user terminal scans a code request; processing and responding by the server; and displaying by a user terminal.

A charitable payment system is provided for use in boundary-less commerce. The system includes a computer server having a memory storing charitable organization or other organization data and user data and a user computing device coupled to the computer server. The system establishes a proximity zone around a business area. When a user computing device enters the proximity zone, a connection between the server and the user computing device is established. The computer server may be programmed to receive from the user computing device a signal activating a payment, the signal including user data and payment data, including user identifying information and a payment amount. The computer server may be programmed to process the payment and account for the payment amount.

The invention is suitable for the technical field of network security, and provides a network simulation platform tree structure model topology-based arrangement display method and system, and the method comprises the steps: obtaining target service region information in response to a frame selection operation, and then traversing a topological graph, according to the method, neighbor parent-level service area information and neighbor child-level service area information are quickly determined, then related identifiers are updated based on the neighbor parent-level service area information, finally hierarchical structure tree information is effectively generated, and folding events and unfolding corresponding to service areas and hierarchical structure tree child nodes are continuously monitored. According to the method and the device, the nodes can be divided and the combined topology with the tree structure model can be constructed during simulation topology scene arrangement, so that the structure association relationship of the topology can be more intuitively and clearly embodied for a user, the method and the device have the advantages of friendly interactive display and support of multi-level nesting, and the use experience of the user is greatly improved.

The application belongs to the technical field of load balancing, and discloses a printing equipment dynamic load balancing distribution method based on real-time order flow; the method comprises the following steps: collecting order submission data streams distributed in multiple business areas in real time, and constructing an order flow space-time heat matrix; obtaining cumulative running time records, historical fault maintenance logs and periodic maintenance records of each printing equipment, and dynamically evaluating a residual health life index; obtaining geographic coordinates of each business area and each printing equipment, and forming a time delay cost matrix; constructing an equipment load protection weight vector based on the residual health life index of each printing equipment, and performing dynamic fusion operation with the time delay cost matrix to generate a scheduling priority score matrix; generating a final printing task distribution result table according to the scheduling priority score matrix and performing task scheduling; and the application can guarantee optimal scheduling effect under complex and changeable business environment, thereby improving printing service quality.

The digital dual-cycle task management system for enterprise operations, comprising a process sorting module, a digital remodeling module, and an empowering operation module. The scheme can establish a dual-cycle task management system, taking the strategic goals of enterprises as the starting point, and combining the status of digital operation management of various enterprises to make targeted resource investments and improvements, thereby achieving optimal resource allocation; the scheme employs process mining algorithms to comprehensively sort and optimize business processes, breaks down corporate strategic goals into different business areas to achieve the visualization of sub-goal business processes, thereby enhancing the operational efficiency of enterprises and reducing costs; the scheme utilizes automated analysis to finely manage data generated by process operations, clarifies the behavioral trajectories, waste, inefficiencies, and problem points in different business departments through data support, thereby enabling targeted training and assisting personnel in enhancing their effectiveness.

The invention relates to the field of edge computing, and discloses an MEC-oriented edge cloud service modeling method, which comprises the following steps of: predicting possible service fields in a target area; deducing a service demand dimension and a predicted development life cycle of the service field to the MEC edge cloud; obtaining a demand matrix of the business field to the MEC edge cloud in combination with each business demand dimension and the predicted development life cycle thereof; corresponding importance weights are given to the business fields according to the demand matrixes of the business fields, and corresponding demand weights are given to the business demand dimensions; calculating a business demand popularity value of the MEC edge cloud in the region; constructing an MEC-oriented edge cloud service demand popularity distribution map; and carrying out MEC edge cloud node layout according to the business demand popularity distribution diagram. According to the method, the requirement of the MEC edge cloud is driven by the business, the scientificity and rationality of MEC edge cloud node planning and construction are greatly improved, the construction of an efficient and green edge computing power network is facilitated, and the method has very high practical value and generalizability.

To predict local population changes with high accuracy. To visualize future local population changes and make it easier to make decisions about appropriate downsizing and withdrawal of local businesses. Ultimately, to reduce business operating costs and enable sustainable business management without lowering the standard of living of residents. To apply this to a wide range of public policies and private business areas, such as local government infrastructure planning, urban development, measures against vacant homes, medical demand forecasting, and PPP projects, and to provide scientific forecast information that serves as the basis for implementing infrastructure downsizing measures as a financial measure for local governments in an era of population decline. [Solution] An information processing system equipped with a micro population forecasting unit that forecasts local future population using a mathematical model or machine learning model that calculates the probability of occurrence of each of multiple population change events, generated using resident information data.

The utility model discloses a mobile leisure selling vehicle which comprises a vehicle body, a driving area arranged on the front portion of the vehicle body and a compartment arranged on the rear portion of the vehicle body, the compartment is separated from the driving area through a middle partition plate, a sliding window is arranged on the middle partition plate, and a meal preparation area, a selling interaction area, a business area, a display area and a leisure and entertainment area are arranged in the compartment. The meal preparation area, the selling interaction area, the business area and the display area are provided with conventional selling goods for customers to select, and the leisure and entertainment area comprises a song ordering machine and a television; the mobile leisure selling vehicle depends on the vehicle, so that the service response time can be shortened, customers are prevented from going back and forth to physical storefronts, the customer satisfaction is improved, the construction and investment of merchants on the physical storefronts are omitted, the cost is saved, the selling product area can be flexibly adjusted, and the carried leisure and entertainment area can also be used for advertising; a good propaganda effect is achieved when the vehicles flow; and meanwhile, the karaoke requirement of singing while drinking can be met.

The invention relates to the technical field of action tracks, and discloses a track analysis processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining the initial position data of a target object based on a multi-modal technology; performing data processing on the initial position data to obtain an initial behavior track of the target object; performing binding analysis on the initial behavior track and map road network data to obtain an effective behavior track of the target object; obtaining a business area of the target object, and dividing the business area based on an electronic fence technology to obtain a target electronic fence area of the target object; acquiring real-time position information of the target object when the target object advances based on the effective behavior track; and based on the real-time position information and the target electronic fence area, constraining the hyper-trajectory line of the target object. According to the scheme, the working range of the target object is managed and controlled, the super-region problem is found and processed in time, the working route of the target object is optimized, the time cost and the traffic cost are reduced, and the working efficiency is improved.

The Cognitive Process Workflow (CPW) method with its grammar, syntax and semantics is a process method, a process modeling method and a workflow method applicable to different technical systems. The CPW Method can be applied and realized among others in a process tool, process modeling tool, workflow tool, workflow engine, enterprise architecture framework and enterprise architecture engine. The CPW Process is represented as simple sentence with a CPW Subject, a CPW Predicate and a CPW Object. The CPW Method for the CPW Process Modeling with CPW Process, CPW Dialog and CPW Workflow and in addition with CPW Subject Object Context Diagrams and CPW Subject Object Relationship Diagrams can be applied to the business areas of financial services (banking, assurance and financial approval), chemistry, pharmacy, medicine, transport, travel, film industry, politics, psychology, legal practice and other business areas.

The application provides a charging method and system of an electric vehicle, comprising: in response to receiving a charging demand of a client, analyzing and determining a business area of a vehicle to be charged; based on the configuration of a mobile charging pile and a charging robot in the business area, a platform end allocates charging resources according to the charging demand and a charging priority, comprising: in response to the mobile charging pile and the charging robot being available in the business area, the platform end sends a charging work order to a charging staff in the business area, controls the charging robot to carry the mobile charging pile to the position of the vehicle to be charged, and controls the charging staff to plug in a gun and start charging; in response to the mobile charging pile or the charging robot being unavailable in the business area, the platform end sends the charging work order to a delivery personnel of a logistics vehicle, pushes the available charging piles around the logistics vehicle according to the distance, and controls the delivery personnel to load the charging pile from the nearest business area or a charging base station to the position of the vehicle to be charged according to the prompt of the platform end, and then plug in the gun and start charging.

The invention discloses a charging station key operation area identification method and apparatus, and an electronic device. The method comprises the following steps: constructing a standard grid system of a target city according to a high-precision map of the target city; obtaining multi-source heterogeneous data corresponding to the target city, processing the multi-source heterogeneous data through a large language model to obtain standardized multi-source data, and integrating the standardized multi-source data to a standard grid system to obtain grid standardized data; based on the grid standardized data, performing charging demand prediction simulation on the target city according to a macroscopic and microscopic combined strategy to obtain a charging demand thermodynamic diagram; and acquiring charging facility distribution data and competitive product layout data of the target city, and inputting the charging facility distribution data and the competitive product layout data and the charging demand thermodynamic diagram into the multi-modal large model for evaluation to obtain a charging station key operation area of the target city. According to the technical scheme, accurate identification of the key operation area of the charging station is realized, and site selection scientificity and decision-making efficiency are improved.

The invention relates to an electronic fence obtaining method and device, and a cloud, and is applied to the cloud, and the electronic fence obtaining method comprises the steps: obtaining a vehicle position and a current service type sent by a terminal device; based on the current service type and a preset service area with the terminal equipment as the circle center and the radius as the target radius, determining at least one to-be-selected electronic fence having an overlapping part with the preset service area from the plurality of electronic fences; wherein the target radius is a radius corresponding to the current service type, or a preset fixed radius; and on the basis of the preset service area and the overlapping rate of each to-be-selected electronic fence, under the condition that at least one target electronic fence is determined from the at least one to-be-selected electronic fence, identification information of the at least one target electronic fence is sent to the terminal equipment.

To provide an information processing device, an information processing method, and an information processing program that can perform more accurate analysis of a trade area.SOLUTION: An information processing device according to the present application includes a reception unit, an analysis unit, and a provision unit. The reception unit receives designation of a plurality of stores. The analysis unit performs estimation processing of estimating a trade area of each of the plurality of stores whose designation has been received by the reception unit, and comparison processing of comparing trade area information between the plurality of stores based on the trade area information of each of the plurality of stores estimated by the estimation processing. The provision unit provides map information including information indicating the trade area of each of the plurality of stores estimated by the estimation processing and information indicating the comparison result of the comparison processing.SELECTED DRAWING: Figure 3

To provide a transmission method, an apparatus, a device, and a readable storage medium that solve the problem of being unable to continue receiving data when UE re-enters the business area of a Local MBS business due to cell re-selection.SOLUTION: The present application discloses a transmission method, an apparatus, a device, and a readable storage medium belonging to the field of communication technology, and the transmission method of an embodiment of the present application includes performing a first action when a terminal interested in a first business is located within a first area.SELECTED DRAWING: Figure 2

Embodiments of the present application provide a partition management method and device of an ultra-converged architecture, electronic equipment and a storage medium. The method comprises: dividing a CPU system into a support area and a business area according to business nature; collecting node load data of an ultra-converged node in the support area in multiple dimensions; dividing the support area into a shared support area and a private support area according to the node load data; and planning service resources of the support area and the business area according to total amounts of resources corresponding to the shared support area and the private support area respectively. Embodiments of the present application can achieve logical isolation of services of the support area and the business area, guarantee service quality, and at the same time, refine resource management and control of the support area, and improve service quality of support services.

The present application relates to the technical field of data prediction recommendation in the business field, in particular to a service recommendation method, system and device based on feature cross and a storage medium; in order to solve the problem of low service recommendation accuracy in the prior art, the present application first constructs a user interaction graph structure, a service interaction graph structure and a user-service interaction graph structure, which are respectively processed by graph convolution to obtain user interaction features, service interaction features and user-service interaction features; then, the target user features, target service features and user-service interaction features are processed by feature cross to obtain user-service cross enhanced features; subsequently, the user interaction features, service interaction features and user-service cross enhanced features are aggregated to obtain comprehensive cross features; finally, based on the comprehensive cross features, a recommendation value is calculated, and when the recommendation value is greater than a recommendation value threshold, the target service is recommended to the target user, thereby enhancing the accuracy of service recommendation and improving user experience.

The invention relates to a device movement system for moving devices in a business area, in particular in a sales area of a retailer, said device movement system comprising: a carrying device which is designed to carry the electronic devices in a suspended manner in a cable-based and / or rail-based manner; and a drive device, which is designed to move the device carried in a suspended manner in an electrically driven manner.

This application provides a service area positioning method, apparatus, device, and storage medium. First, it acquires communication data and service quality index data corresponding to each user terminal. The communication data includes user signaling data. Then, based on the service quality index data corresponding to each user terminal, it identifies the users conducting live streaming services through the user terminals, i.e., the live streaming users. Next, based on the user signaling data corresponding to the live streaming users, it determines the live streaming activity volume of the base station cell corresponding to the live streaming users. Finally, it determines the live streaming service area based on the live streaming activity volume. By using user signaling data and service quality index data as references, it achieves accurate positioning of the live streaming service area, providing data support to meet the higher requirements for network performance rates and latency sensitivity needed to conduct live streaming services in the area, thereby improving user experience.

The invention discloses an anomaly monitoring method and system for hierarchical data of a business domain under a data lake, and relates to the technical field of data management, and the method comprises the steps: obtaining a business domain feature factor of a target business, and carrying out the data hierarchical matching of a target business region in the data lake; performing form verification on the plurality of matched service layers to obtain a form matching degree, and screening to obtain a target service layer; obtaining a first service layer, carrying out interlayer circulation verification, obtaining a plurality of circulation dependency coefficients, and obtaining a circulation matching degree; and performing similarity verification on the first service layers, and adding the first service layers with abnormal judgment results into the historical abnormal service layer set. The technical problems that in the prior art, a special method for layering characteristics is lacked in anomaly monitoring of data lake service domain layering data, deep anomalies such as form matching and interlayer circulation are difficult to effectively recognize, and the anomalies are not found in time are solved.

The invention discloses a wireless channel scene classification method based on an adaptive algorithm, which can effectively realize scene classification in an actual communication system, and specifically comprises the following steps: 1) collecting geographical environment information and engineering configuration parameters as a scene feature data set; 2) preprocessing the scene feature data set through standardization and principal component analysis (PCA); 3) carrying out adaptive classification by adopting a self-organizing mapping (SOM) neural network algorithm; 4) traversing the SOM models with different grid sizes, calculating corresponding evaluation indexes, and determining to select the model with the highest weighted score; and 5) loading the optimal model, finally dividing the main urban area of Hangzhou city into eight types of sub-scenes including a high-density business area, a high-density residential area, a low-density business area, a transportation hub, a medium-density residential area, a park, a low-density residential area and an indoor space, and finally, enabling the final weighting score to be 0.6, thereby indicating that the method can effectively realize scene adaptive classification, and improving the accuracy of scene classification. And an important precondition is provided for channel modeling.

According to one embodiment, in a method for providing a business area analysis service, a business area analysis request of a first area is received by a device from a first user terminal based on analysis of activation state information of an IP address; if it is determined that the IP address allocated to the second area, namely the IP address adjacent to the first sector is a first address, the IP address is first state information, namely activation state information of the first address; calculating an activation value of the first address according to the first state information; the higher the activation value of the first address is, the higher the level of the first area is; if a level of a first area is set to a first level, a method of providing a business area analysis service based on analysis of activation state information of an IP address is provided, including a step of providing a report indicating that a business area of the first area has been analyzed in a first level.

The invention relates to the technical field of power grid service robot path planning, and discloses an indoor service robot path planning method combined with business area semantic annotation, comprising the following steps: collecting physical space data and visual data of a power grid business hall through multiple sensors, and processing to generate a two-dimensional map; determining starting point and terminal point target positions of the robot, and setting core constraints; searching an initial feasible path from the starting point to the ending point; curvature smoothing and node density adjustment are carried out on the initial feasible path, and an optimized path is generated; in the running process of the robot, the deviation between the actual track of the obstacle and the predicted track is compared in real time, when the deviation exceeds a threshold value, local path re-planning is conducted, and an adjustment path is generated. According to the method, operation risks such as confidential information leakage and service process interruption caused by path violation are avoided, deep matching with power scene business attributes is realized, the robot timely deals with personnel sudden actions, and the collision risk is greatly reduced.