27results about How to "Improve service capabilities" patented technology

The application relates to a user service method and device based on a control plane, a computer device and a storage medium, and relates to the technical field of networks. The method is executed by a backup control plane and comprises the following steps: receiving a digest table sent by a master control plane; the digest table contains user digest information of a target user; the target user is a user accessing the master control plane; performing pre-occupation processing based on the digest table to determine pre-occupation resources of the target user; and in the case of an exception of the master control plane, switching the target user to the backup control plane to provide services for the target user based on the pre-occupation resources. Through the above method, in the control plane switching process, since pre-occupation has been performed on the backup control plane side, address conflicts do not occur, and since the information amount of the digest table is relatively small, black barrier periods are not prone to occur, so that the user side is not aware of the control plane switching, normal business is ensured, and service effect is improved.

The invention discloses a knowledge index and text generation control method and system for retrieval enhancement generation. The method relates to the technical field of retrieval enhancement generation and comprises the following steps of knowledge index accuracy evaluation, index accuracy intelligent regulation and control, text generation timeliness evaluation and generation timeliness intelligent regulation and control. According to the method, the knowledge index accuracy is evaluated based on the index accurate parameters, and if the knowledge index does not reach the standard, the semantic relevance and the result effectiveness are regulated and optimized in a self-adaptive mode through the window width and the effective proportion. And then, evaluating the text generation timeliness based on generation timeliness parameters, if the text generation timeliness does not reach the standard, dynamically managing dialogue memory and load by updating a rate threshold value and performing adaptive regulation and control of a response period, preferentially guaranteeing the response speed and continuity, and finally performing a text generation verification link. The control timeliness of the knowledge index generated by retrieval enhancement and the text generation is improved, and the problem that the control timeliness of the knowledge index generated by retrieval enhancement and the text generation is low in the prior art is solved.

The invention discloses a charging pile control method and device and a charging pile, and belongs to the field of new energy charging piles, and the charging pile control method and device comprises the steps that charging demand information of multiple to-be-charged vehicles connected with multiple charging guns is acquired, and the charging demand information at least comprises the battery charge state, the battery capacity and the charging duration preset by a user; according to the charging demand information, the charging priority and the demand power of each vehicle are calculated; generating a power distribution strategy according to the charging priority and the required power, and dynamically distributing a plurality of power modules in the charging pile to a plurality of charging guns; controlling the on-off state of the power distribution matrix according to a power distribution strategy so as to establish electric connection between the power supply module and the charging gun; in the charging process, the actual charging power and the battery state of each vehicle are monitored in real time, the on-off state of the power distribution matrix is dynamically adjusted according to the monitoring result, the power modules are redistributed, and the charging efficiency is maximized on the premise that the requirement for charging multiple vehicles at the same time is met.

The application discloses an edge device deployment method and system for service-oriented manufacturing remote operation and maintenance service, and the method comprises the following steps: acquiring the data amount processed by a center server within a predetermined time; acquiring a plurality of customers to which the data amount respectively belongs, and obtaining the geographical area to which each customer belongs according to the network protocol address of each customer in the plurality of customers; acquiring the geographical area covering the most customers, and setting an edge server in the geographical area, wherein the edge server is used for acquiring data from the center server and providing data service to the customers in the geographical area; and configuring an operation and maintenance server in the area where the edge server is located, wherein the operation and maintenance server is used for providing operation and maintenance service for the edge server. Through the application, the problem that the pressure of the center server for providing service in the service-oriented manufacturing is increased and the service provided by the server is affected in the prior art is solved, so that the ability of providing service for customers is improved by adding the edge server.

The application discloses a communication address resolution service updating method and device, equipment, medium and product, and the method comprises the following steps: in response to a communication address resolution request of a user, a first resolution interface of a self-built communication address resolution service is called to process, so that a first resolution result obtained after an application neural network model is obtained is acquired, the model is used for determining a standard address text of an input address text in the request from a standard database; when the first resolution result indicates that the resolution fails, a second resolution interface of a third-party communication address resolution service is called to process, so that a second resolution result is acquired; when any resolution result contains a standard address text and resolution information thereof, the standard address text is stored in the standard database; in response to a timing task triggering event, part of the standard address texts recalled from the standard database according to given address samples are respectively combined with the address samples to form positive samples, and the model is trained. The application can provide efficient and accurate communication address resolution services for e-commerce platforms at a relatively low cost.

The present application relates to the technical field of Internet of Vehicles communication and calculation, in particular to a remote area Internet of Vehicles task offloading method and device based on high altitude platform assistance, which comprises the following steps: constructing a vehicle connection judgment model based on a high altitude platform and an edge server, obtaining the position of a vehicle, judging whether the vehicle is connected to the edge server or the high altitude platform or whether the vehicle is not connected to the edge server or the high altitude platform; constructing a communication model, a time delay model and an energy consumption model, calculating the offloading transmission rate, the total time delay of the task and the total energy consumption of the task according to the communication model, the time delay model and the energy consumption model and the connection judgment result; constructing an optimization objective function according to the time delay model and the energy consumption model; modeling the task offloading problem as a Markov decision process and training it by using a MAPPO algorithm to output a task offloading strategy, thereby providing a solution to the problem of limited task offloading and high time delay of the remote area Internet of Vehicles.

The invention requests to protect an internet system and method of an ISO (International Standardization Organization) Proxy based on an OID (Object Identifier), which is operated on other networks which can be interconnected in the future including a traditional IP (Internet Protocol) internet and is based on the ISO Proxy internet of the OID, is mainly used in the technical field of data identification and linking, and comprises an OID management and distribution module, a data processing module, a data processing module and a data processing module, the OID generation module is used for generating an OID of the intelligent conjoined body so as to ensure the uniqueness in the Internet; and the intellectual conjunct engine decomposition and recombination module is used for realizing dynamic decomposition and recombination of the intellectual conjunct PNE engine so as to form sub-brains which are reconstructed according to requirements. According to the invention, the object identification (OID) coding mechanism of the international standardization organization (ISO) is applied to the identification and management of the intelligent conjunct (digital agents of people, machines and objects) for the first time, a global unified, easy-to-identify and traceable intelligent conjunct internet is constructed, and the problems of identity authentication and interconnection of the intelligent conjunct in a large-scale network environment are solved.

The invention discloses an artificial intelligence system and method applied to smart park services, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the call based on an intelligent agent of a large language model through a tool library, automatically recognizing the operation intention and related parameters of a user, and carrying out the operation of the user; the body agent continuously learns updated sample data, and the large language model agent is allowed to be executed according to a new instruction inserted by a user intention or an instruction before interruption during the action execution period of the robot through a priority scheduling algorithm; according to the method and the system, seamless connection between the physical world and the digital world is achieved, a sensing-decision-execution closed loop is achieved, the system comprises a multi-mode input module, a robot body, an intention understanding and decision-making module, an action planning and execution module and an Internet of Things (IoT) interface function, and the environment sensing ability of the robot and the intention understanding ability of a user are improved through the method and the system.

This invention relates to the field of data retrieval technology, specifically disclosing a database-based method for rapid retrieval of skills learning data, comprising the following steps: S1: Preset a retrieval period, statistically analyze the types, occurrences, and frequencies of retrieval fields within the period, and stop if the threshold is not met; S2: Construct binary retrieval field combinations, calculate the frequency and correlation coefficient of each combination field; S3: Single-field retrieval matches initial courses, calculates popularity based on the number of enrollees and collections, and sorts them; S4: Divide primary and secondary fields to correct popularity, sort and filter popular courses, and establish a connection between combinations and courses; S5: Prioritize displaying related popular courses, continuously update the period, and repeat the process after decomposing multi-field combinations. This method can improve retrieval accuracy and efficiency, ensure course timeliness and recommendation quality, adapt to the needs of skills training platforms, optimize resource allocation, and enhance the platform's core competitiveness.

The present application relates to the technical field of wisdom fire and building engineering digital supervision, in particular to a fire inspection and verification process optimization system based on knowledge graph and AI diagnosis, comprising: a data receiving step: obtaining basic attributes such as building age, height and purpose; a theoretical graph generation step: constructing a theoretical compliance graph based on attribute filtering regulation meta-graph; a fact graph construction step: converting structured Internet of Things sensor data stream and unstructured field image data to generate field fact graph; a difference quantization diagnosis step: comparing graph differences and calculating compliance deviation; a decision closed-loop feedback step: outputting compliance signal or rectification path data packet according to deviation; the present application greatly improves the applicability of the fire inspection and verification system in urban renewal and stock building reconstruction projects.

This invention provides a multi-functional service spacecraft configuration. The multi-functional service spacecraft consists of a power module and an instrument module, and is equipped with major equipment such as a robotic arm, toolbox, propellant replenishment device, and spacecraft docking mechanism. The multi-functional service spacecraft employs a unique double-load-bearing cylinder configuration: the upper instrument module uses a sealed central load-bearing cylinder configuration; the lower power module, with the outer load-bearing cylinder as its main force transmission structure, is connected to the central load-bearing cylinder of the instrument module via a truncated cone section, and also contains a sealed inner load-bearing cylinder, forming a sealed space together with the central load-bearing cylinder of the instrument module. This multi-functional service spacecraft operates in orbit for extended periods, performing orbital maneuvers as needed, and is primarily used to provide on-orbit services including cargo transportation, orbit maintenance, repair and maintenance, and propellant replenishment.

The embodiment of the invention provides an address mapping table updating method, electronic equipment, a storage medium and a program product. The network address change information is actively reported by the terminal equipment or the server-side equipment, and a passive mode of periodic scanning of gateway equipment in the prior art is replaced, so that the updating efficiency and the real-time performance of the address mapping table are remarkably improved; meanwhile, whether the address change information conforms to the network access strategy or not is checked through the preset checking model, updating operation is executed only when the change information passes verification and conforms to the access strategy, illegal and non-compliant address change information can be effectively filtered, network security risks and communication anomalies caused by invalid or illegal updating are avoided, and the user experience is improved. The security and the stability of network operation are improved; in addition, the gateway does not need to execute full-amount periodic scanning, computing resources and network bandwidth occupation of gateway equipment are reduced, and the overall service performance of the gateway is optimized.

The present invention provides a PEI occasion determination method performed by user equipment (UE), including: acquiring a capacity value of a paging early indication (PEI) occasion, the capacity value being the number of paging occasions corresponding to one PEI occasion; determining, according to the capacity value, a PEI frame number corresponding to a particular PEI occasion for the UE; and determining the particular PEI occasion from at least one PEI occasion associated with a PEI frame indicated by the PEI frame number, so as to detect PEI information on the particular PEI occasion.

The invention provides a multi-dimensional data achievement display method and system oriented to basic surveying and mapping production, and relates to the technical field of data achievement display of surveying and mapping geographic information. According to the method, point cloud data, image data, vector diagram data and three-dimensional model data are accessed to a unified data management and display framework of private cloud to form a multi-source surveying and mapping data set, and the multi-source surveying and mapping data set is subjected to achievement unification processing. On this basis, a multi-dimensional element fusion result is constructed, a cross-dimensional element association index is generated, a traceable mapping relation among two-dimensional vector elements, three-dimensional model elements and image elements is established, and multi-scale browsing-oriented hierarchical organization data and spatial indexes are further constructed; uniform loading, on-demand scheduling and interactive calling of multi-dimensional achievements are achieved. And a multi-dimensional result display result is published through the private cloud, so that linkage display and efficient sharing of the basic surveying and mapping result are realized.

The invention provides a large language model kernel generation method and system and a text generation method, and the method comprises the steps: firstly obtaining a hardware constraint parameter, and constructing a resource constraint perception rule comprising a degree of parallelism and a cyclic partitioning rule according to the hardware constraint parameter; then, space exploration is performed based on the rules and a sequence decision algorithm to generate a target kernel. The sequence decision algorithm sequentially traverses according to the memory hierarchy and the cycle dimension, the parallelism degree of each dimension and the feasible interval of the block size are determined, memory hierarchy configuration parameters are obtained step by step and finally summarized into target kernel configuration parameters, and a target large language model kernel is generated according to the target kernel configuration parameters. According to the large language model kernel generation method provided by the invention, the resource constraint perception rule is dynamically constructed based on the hardware constraint parameter of the target large language model, so that the high-performance target large language model kernel is quickly generated, the kernel generation time is shortened, and the kernel generation efficiency is improved. And the calculation efficiency and the resource utilization rate of the large language model on special hardware are improved.

The application provides a memory data processing method and device, equipment and storage medium, and relates to the technical field of data processing. The method comprises the following steps: determining a target storage component currently in an enabled state in a multi-level storage component; the multi-level storage component comprises at least a first local cache, a second distributed cache, a third event log storage and a fourth persistent storage; in response to a memory extraction request initiated by a large model intelligent agent through an interface layer, resolving request parameters in a control layer, and calling the target storage component to perform corresponding processing operations based on the request parameters; when the to-be-written data in the request parameters is written into the enabled third event log storage, triggering a background consumer to perform asynchronous evaluation processing on the to-be-written data, and when the to-be-written data meets a preset long-term storage condition, writing the to-be-written data into the fourth persistent storage based on a data identifier, thereby realizing layered and differentiated access management of memory data and improving the retrieval efficiency of memory data.

The application relates to the technical field of satellite communication, and particularly discloses an energy-saving routing method and system in a low-orbit satellite constellation, which comprises the following steps: constructing a system model containing a satellite constellation topology, satellite energy consumption, a solar eclipse period determination and a task flow, taking minimization of satellite battery life loss as a core optimization target, and establishing a joint optimization problem; modeling the joint optimization problem into a Markov decision process in a limited time domain based on a battery attenuation model and dynamic channel sensing; solving the Markov decision process by adopting a double-layer optimization framework which fuses a Q-learning algorithm and a reverse inductive battery management algorithm; and outputting a final communication resource configuration and task scheduling strategy based on a solving result. The application can obtain an optimal communication resource configuration and task scheduling strategy, effectively prolongs satellite battery life, reduces a dynamic energy consumption range, guarantees task QoS requirements, and improves the operation stability and economy of a large-scale multi-orbit LEO satellite constellation.

The invention discloses a server load balancing method and system for molecular oil refining simulation. The method comprises the following steps: according to a pre-stored historical oil refining simulation calculation record, the number of molecules participating in reaction carried by the demand, the number of reaction rules and the type parameter data of a reaction device, calculating to obtain the estimated operation time of the calculation demand of oil refining simulation on each calculation server; checking the current service state of each computing server, and obtaining the estimated waiting time of the currently running task and the queued task of each computing server; calculating the sum of the estimated running time and the estimated waiting time to obtain the estimated total calculation time of each calculation server; and judging, and distributing the calculation demand of the oil refining simulation of the client to the calculation server with the minimum estimated calculation total time to carry out molecular oil refining simulation calculation. The system comprises a registration center and a plurality of computing servers. According to the method and system, computing power resources are effectively utilized, and computing time is saved.

The application relates to the technical field of artificial intelligence, and discloses a customer service resource allocation method and device, computer equipment and a medium, which comprise the following steps: obtaining a user behavior sequence of a target user on a target platform and a current conversion probability of the target platform; performing conversion probability prediction on the target user according to the user behavior sequence to obtain a predicted conversion probability and a prediction confidence of the predicted conversion probability; performing matching degree evaluation on candidate artificial customer service resources according to the user behavior sequence, the predicted conversion probability, the current conversion probability, the prediction confidence and preset customer service information of the candidate artificial customer service resources to obtain a customer service matching degree; screening target customer service resources from the candidate artificial customer service resources or intelligent customer service resources according to the customer service matching degree; and allocating the target customer service resources to the target user. The application can be applied to the customer service resource allocation scene of financial technology and medical health, improves the accuracy of customer service resource allocation, and improves the user conversion probability effect.

The present application relates to the technical field of smart grid, especially to a power grid base digital employee intelligent construction and multi-scene adaptation method, which analyzes the process nodes and data flow paths of the whole business of the power grid base, and constructs a business flow knowledge link; determines multiple typical business scenarios, combines the scenarios and the knowledge link to predict demand pain points, and establishes a multi-scene demand pain point distribution dynamic knowledge graph; defines the compliance constraint space of each business node, obtains the existing digital employee ability configuration network, fuses the knowledge graph and the constraint space to identify the ability gap, and accurately locates the gap module and degree; based on the gap degree, the ability module is adapted and optimized to generate the construction optimization result, realizing the closed-loop management from business modeling, pain point prediction to gap identification and optimization, effectively solving the problems of poor scene adaptability of traditional digital employees, insufficient compliance risk identification and incomplete ability coverage, and significantly improving the intelligent level and multi-scene adaptation efficiency of the power grid base service.

The invention discloses an urban railway multi-station cooperative train operation optimization method for multi-network integration, and the method comprises the steps: firstly analyzing the operation data and passenger flow characteristics of an existing train, and constructing a train parking mode and marshalling scheme coupling dynamic optimization model based on multi-period coordination on this basis; and then designing a heuristic algorithm, and optimizing the timetable in the Jinjing direction by taking a new Jianzhuang station of the Beijing and Jinjing intercity railway as an application object. According to the method, the inter-city railway train stop plan and marshalling scheme can be collaboratively optimized, balanced distribution of multi-station passenger flow in the same city area is realized, the operation pressure of a core hub station is effectively relieved, and the service capability and accessibility of candidate stations are improved; and meanwhile, through multi-period transport capacity dynamic adaptation, the unsatisfied passenger flow demand is reduced, the operation cost is reduced, the passenger commuting efficiency and the overall benefit of the system are improved, and technical support is provided for inter-city railway network operation and regional traffic collaborative development.

The invention discloses an intelligent high-speed comprehensive management and control method and management and control platform based on intelligent agent dynamic division, and relates to the technical field of high-speed management and control. Comprising the following steps: S1, acquiring data; s2, intelligent agent division; s3, generating a strategy; s4, carrying out strategy matching; and S5, executing the instruction. According to the invention, the problems of information isolated island, response lag, single management and control means and the like in the existing expressway management and control are solved, and the operation efficiency, the safety level and the service capability of the expressway are remarkably improved.

The present application relates to the technical field of medical image processing, and provides a medical image feature extraction model training method and a medical image classification method, which comprises the following steps: inputting a medical image into a medical image feature extraction model to obtain coarse-grained image features and fine-grained image features; inputting a medical report into a medical report feature extraction model to obtain report coarse-grained features and report fine-grained features; performing cross-attention calculation on the fine-grained image features and the report fine-grained features to obtain cross-modal fusion features; calculating coarse-grained cross-modal alignment loss based on the coarse-grained image features and the report coarse-grained features; calculating fine-grained cross-modal alignment loss based on the fine-grained image features and the cross-modal fusion features; and training the medical image feature extraction model and the medical report feature extraction model with the weighted sum of the losses as the target, so that the image features extracted by the medical image feature extraction model are more accurate.

The invention provides a bank virtual digital human service system and method fused with multi-modal interaction. The invention discloses a bank virtual digital human service system fused with multi-modal interaction. The system comprises a multi-modal data acquisition end; edge computing nodes; the cloud cognitive engine is provided with a financial intention-emotion coupling perception network and is configured to extract semantic features, visual features and audio emotion features through a text encoder, a visual encoder and an audio encoder respectively; retrieving related financial entity concepts according to the semantic features, and generating knowledge embedding vectors; performing multi-head attention calculation on the knowledge embedding vector with the visual features and the audio emotion features by using a knowledge graph enhanced cross attention module, and outputting a user intention vector and an emotion load index; and the man-machine cooperative control center is provided with a dynamic risk gating module. According to the method, the service capability and the security of the bank virtual digital human in a complex business scene are remarkably improved.

The application relates to a business processing method and device based on multi-agent cooperation, and relates to the technical field of financial business processing. The method comprises the following steps: acquiring business handling content input by a user in a conversational interface; calling a first agent to perform intent recognition on the business handling content, determining a target business matter to be handled based on an intent recognition result; the first agent is a pre-trained intent recognition type agent; according to a mapping relationship between the business matter and a second agent, a target second agent corresponding to the target business matter is called, the target second agent processes the corresponding business and outputs a business processing result; the second agent is a pre-trained exclusive processing agent for a subdivided business, and different second agents correspond to processing of different business matters; and the business processing result is displayed on the conversational interface of the user. The method can realize agent modularization decoupling, improve system maintainability and expandability.

The present application belongs to the field of information technology and data management, and relates to a two-dimensional code management, service and security guarantee method and device for enterprise level, which comprises the following steps: constructing a unified two-dimensional code management platform, adopting a tree topology structure and a five-layer classification mechanism to uniformly encode and manage two-dimensional codes, and combining a label mechanism to multi-dimensionally define two-dimensional code attributes; performing full life cycle management on two-dimensional codes; configuring the generation, beautification, template customization, printing and interface of providing external services of two-dimensional codes through an API interface; establishing a code analysis system to collect, count, analyze and visualize two-dimensional code usage data; and constructing a code security system through automatic content review, localized deployment, encryption algorithm, API security reinforcement and access control strategy. The present application has good expansibility and adaptability, and can improve operation efficiency and service capability, strengthen data security guarantee and excavate data asset value through centralized, unified and standardized management.

The invention discloses a passenger identification method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring identity identification information of a target object; according to the identity identification information, passenger travel information of the target object is acquired; according to the passenger travel information, the travel type of the target object is identified, an identification result is obtained, and if the identification result represents that the travel type of the target object is a transfer travel, corresponding transfer service is provided for the target object. Through the method and the device, the problem of relatively low accuracy of identification of the transit passengers in related technologies is solved.