61 results about "Response process" patented technology

The invention provides a customer service robot response method and system based on a knowledge graph, and relates to the field of natural language processing. The method comprises the following steps: obtaining a user input query; identifying a query intention input and queried by a user and slot position information through an intention identification model; generating a knowledge graph query statement based on the query intention and the slot position information, and retrieving related entities in a knowledge graph and associated entity relationships; executing path-based multi-hop semantic reasoning and rule-based logical reasoning on the basis of entities and associated entity relationships thereof, and determining an optimal response result; and generating a natural language response based on the optimal response result. The method is used in the response process of the customer service robot based on the knowledge graph, and the technical problem that an existing customer service robot is inaccurate in response to complex problems is solved.

The invention relates to the technical field of network security, in particular to a network security operation and maintenance automatic analysis and response system based on artificial intelligence, which comprises an operation sensing module for acquiring a server state, extracting a security log, monitoring a network protocol and a transmission direction, identifying a performance bottleneck, sorting event data and generating a sensing summary sheet, the path offset identification module tracks a cross-domain path, identifies an abnormal path and generates an offset list; the behavior chain construction module sorts an event sequence and generates a behavior chain graph; the response processing module arranges processing steps, records a response process, generates an operation and maintenance execution sequence, synthesizes an output module to complete a process and generates an analysis result. According to the invention, by comparing the server resources with the historical reference, the abnormity is identified, and the event behavior basis is provided. And tracking cross-domain path lag and abnormity, and positioning threats. Arranging event data, and constructing an attack chain. The automatic response improves the speed and accuracy, shortens the response time, and enhances the attack handling capability.

The invention discloses a distributed sensor abnormal event identification method for intelligent traffic, and particularly relates to the technical field of traffic information perception and identification, and the method comprises the following steps: generating an abnormal information initial confidence value through deploying a sensor node with a confidence value dynamic adjustment function; during fusion processing, independent identification priorities of single node anomalies are reserved; after sequence reconstruction of a unified time reference, judging whether a response condition is met or not in combination with trajectory evolution; if yes, an abnormal response process is triggered, a space-time compensation set is constructed based on historical data of the sensing blind area for verification, and finally an abnormal intervention instruction is output and a traffic scheduling system is linked; according to the method, the sensing sensitivity, the fusion accuracy and the response timeliness of the abnormal information in a complex traffic environment are improved, the problem of an identification blind area that single-point abnormity is covered is avoided, state reconstruction and supplementary verification of the sensing blind area are realized, and the rapid intervention capability of an intelligent traffic system on emergencies is enhanced.

An operation method of an email security system comprises the steps of: configuring security threat information synchronization data by synchronizing targeted email security threat information configured by performing a targeted email security threat inspection on an inbound mail with targeted email security threat information configured by performing a targeted email security threat inspection on an outbound mail; performing a targeted email security threat inspection corresponding to a new inbound mail or a new outbound mail using the security threat information synchronization data; and performing a targeted email security threat response process according to the targeted email security threat inspection of the new inbound mail or the new outbound mail.

The invention provides a self-adaptive collaborative security protection method based on attack path deduction, a medium and a system, and belongs to the technical field of network security. The method comprises the following steps: sampling possible paths from a current attack node to high-value assets based on an adaptive path sampling algorithm of Monte Carlo tree search to generate an attack path graph, calculating a protection effectiveness score and a service influence score according to key nodes and predicted attack actions, and generating an optimal protection instruction set based on a multi-target tradeoff function; an instruction is converted into a heterogeneous security device configuration command through a strategy execution cooperative controller, multi-device synchronous activation is realized by adopting a distributed transaction protocol based on a logic clock, and a protection effect is monitored and fed back to an artificial intelligence model for parameter optimization; the problem of protection strategy failure caused by asynchronous network security protection response and attack evolution is solved.

This application provides a method and system for rapid response to traffic incidents based on multi-source data fusion, relating to the field of traffic incident response technology. The method includes: extracting traffic feature vectors from multi-source traffic data for multi-source fusion calculation; determining whether abnormal traffic incidents exist in the fused situational data; when abnormal traffic incidents exist, determining the type and locating the information; generating an initial response plan based on the determined type and location information; pushing the initial response plan to the handling department's terminal and receiving execution status information from the handling department; recording the timestamps and operation logs of the entire process, and evaluating the effectiveness of this response process. This application addresses the technical problem of lacking multi-source traffic data fusion analysis in existing technologies, enabling rapid response to traffic incidents based on multi-source traffic data fusion, and achieving the technical effect of improving the accuracy of traffic incident identification.

The application discloses a consumer complaint response method and system based on AI assistance and language understanding, which splits the complaint response process into two core sub-problems of multi-modal consumer complaint data processing and feature fusion and demand attribution and response generation. In multi-modal consumer complaint data processing and feature fusion, first, regular expressions are used to denoise text, spectral subtraction is used to denoise voice, and Gaussian filtering and adaptive histogram equalization are used to denoise images; then, modal features are extracted, text is used as the core of cross-modal fusion, and entity and relationship are extracted to construct a multi-modal semantic knowledge graph. In demand attribution and response generation, Graph Transformer is used in combination with the graph and domain prior knowledge to output primary and secondary demands; a static complaint graph is constructed, an attribution path is mined through BFS and is verified through multi-modal verification; and an "emotion-demand-attribution-prevention" structure is used to optimize text and adjust the format by using LLM, and an individualized complaint response is output.

The invention belongs to the technical field of network security, and discloses a network security automatic decision-making method and system based on multi-agent collaboration, and the method comprises the steps: constructing a multi-agent system; establishing a script-based standardized safety response flow library, and completing flow representation and execution arrangement of the script in the SOAR system; constructing a structured cue word for each agent, and constraining a role boundary and an output specification through the cue word; security event input is received, and event analysis, task decomposition, script selection and response execution are completed through cooperation of multiple agents; and verifying the validity of the system in the security event response based on a preset index, and iteratively optimizing the cue word and the script-based standardized security response process library according to feedback data. According to the invention, accurate, efficient and automatic response to the security event is realized by constructing a role-based, cooperative and evolvable intelligent decision-making system.

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

A control system, method, electronic device, and storage medium for logistics equipment are disclosed. The control system includes: a gateway layer configured to receive business requests of various importance levels using multiple gateways and route the received business requests to an access layer; an access layer configured to receive business requests routed from at least one gateway through a main station, and for each business request received through the main station, redirect to a corresponding sub-site for response; and a service layer configured to, during the response process for each business request, call corresponding service applications from multiple service applications for each redirected sub-site, process the business requests corresponding to the sub-site according to the called service applications, generate control information for the logistics equipment, and control the corresponding logistics equipment to perform corresponding actions. By quickly and accurately generating control information corresponding to business requests, the efficiency and accuracy of controlling the logistics equipment are improved.

The embodiment of the invention provides an interface response time delay test method and system, a medium and equipment, and the method comprises the steps: collecting continuous image frames of a response process after a target interface is triggered, and recognizing a target feature point in each continuous image frame, and constructing a comprehensive evaluation feature fusing the quantity feature, the spatial distribution feature and the hue feature of the target feature point, judging a response image frame when the target interface enters a steady state for the first time based on the change trend of the comprehensive evaluation feature in the time dimension, and determining a response time delay between the response time corresponding to the response image frame and the trigger time. According to the method, the state of the target interface in the response process is represented through the multi-dimensional features, so that the response image frame is accurately judged, and the time delay test precision is improved.

The invention, which relates to the technical field of the computer, discloses a multi-source-data-based outdoor falling risk early warning processing method and system for the elderly, comprising the following steps: collecting and fusing multi-source data; performing multi-dimensional feature extraction and correlation analysis; carrying out risk identification based on business rules; small sample machine learning identification; performing relation network auxiliary analysis; according to the method, Internet of Things devices such as video monitoring and smart bracelets are integrated, three types of recognition algorithms of a rule model, a classification model and a relation network model are creatively fused, model cooperation is realized through a weighted voting mechanism, and high recognition accuracy is still kept under the condition of small samples. A differential response process is automatically triggered based on a risk level, flexible expansion of system function modules is supported by adopting a micro-service architecture design, a whole-process closed loop of old people outdoor fall risk early warning disposal is finally realized, and the intelligent level of grassroots social governance is remarkably improved.

The present application relates to the technical field of data collaborative processing, in particular to a cross-service financial collaborative processing method and device and storage medium. It comprises the following steps: collecting multi-source transaction and behavior event stream, and constructing global customer-event graph; implanting probe in event bus and each business processing node, and constructing influence surface blood chain; calculating customer association network characteristics and risk transmission strength characteristics; inputting two types of characteristics into collaborative rule model, outputting risk grading signal and accurate containment instruction set when characteristics match; selecting hierarchical response process template through process arrangement model, and generating workflow with minimum business interference. The present application realizes multi-source event semantic normalization through financial transaction ontology, combines probe and distributed tracking technology to connect risk information, and solves the problem that existing financial collaborative mode cannot identify and trace complex fraud transactions involving payment, credit and financial multi-business lines in real time.

This invention discloses a method, device, electronic device, storage medium, and process for implementing an emotional intelligent agent and its memory system based on a state machine, belonging to the field of artificial intelligence and human-computer interaction technology. The method includes: constructing a multi-dimensional emotional state machine, defining state vectors containing basic and advanced emotions, and combining a natural decay mechanism and an empathy adjustment algorithm to achieve dynamic emotion updates; establishing a hierarchical memory system with emotion binding, binding emotional states as metadata to memory entries, and achieving memory compression, archiving, and enhanced retrieval through a three-level architecture of short-term, medium-term, and long-term combined with importance scoring; adopting a hierarchical streaming response mechanism, splitting the response process into two layers: rapid emotional feedback and substantive content generation, and reducing interaction latency using streaming output and speculative execution; and using emotional states as the core driving source to synchronously control text tone, speech synthesis intonation, and virtual character animation. This invention, by integrating an emotional state machine and a hierarchical memory architecture, enhances the agent's personality continuity and long-term companionship ability, achieving low-latency, multimodal synchronous natural human-computer interaction.

The present disclosure relates to the technical field of computer, and particularly relates to a request processing method and device, electronic equipment and request processing system. The method comprises the following steps: in the case of receiving an access request of a target device, obtaining address correlation information corresponding to an access address in the access request; in the case that the address correlation information indicates that there is no address correlation, obtaining a first directory hit result according to cache directory information, wherein the first directory hit result is used to indicate a field to which the target device belongs; in the case that the first directory hit result indicates a hit, generating a monitoring request, and executing a response process corresponding to the monitoring request according to the field to which the target device belongs, and obtaining a response result. The present disclosure can improve the request processing efficiency without affecting the operating frequency of the chip.

The invention discloses a fan energy efficiency optimization method and system, and relates to the technical field of energy efficiency optimization, and the method comprises the steps: building a standardized data set, setting a multi-dimensional optimization target according to a preset qualitative constraint condition, building an energy storage capacity configuration model based on the multi-dimensional optimization target, and outputting an optimal energy storage capacity configuration scheme. Multiple types of operation scenes are divided, and the dynamic response process of the fan and the energy storage system in various operation scenes is simulated by obtaining an optimal control decision, so that corresponding control strategies are generated; and constructing a multi-energy combination optimization model according to the control strategy and the energy composition condition of the wind power plant, solving the multi-energy combination optimization model, designing a multi-energy hierarchical collaborative architecture based on a solving result, and generating a multi-energy collaborative scheduling execution strategy. The dynamic coupling and cooperation capability of the fan and the energy storage system is enhanced, and a solid foundation is laid for improving the energy efficiency of the fan while the investment cost is reduced.

The present invention relates to an email security system and an operation method thereof for blocking and responding to targeted email attacks, which perform inspection of unauthorized email server access attack, and the method comprises the steps of: configuring security threat information synchronization data by synchronizing targeted email security threat information configured by performing a targeted email security threat inspection on an inbound mail with targeted email security threat information configured by performing a targeted email security threat inspection on an outbound mail; performing a targeted email security threat inspection corresponding to a new inbound mail or a new outbound mail using the security threat information synchronization data; and performing a targeted email security threat response process according to the targeted email security threat inspection of the new inbound mail or the new outbound mail.

According to the answer recommendation method and device provided by the invention, the questions of the user are automatically classified, the similar questions are summarized into the same question classification, the corresponding answer recommendation set is generated, and the target user can select the answer recommendation in the answer recommendation set to directly reply, so that the user experience is improved. Therefore, fragmented consultation which needs to be processed one by one originally is converted into an efficient batch decision and response process, the interaction efficiency is remarkably improved, and the use experience of the user and the target user is effectively improved.

According to embodiments of the present disclosure, methods, apparatuses, devices and storage media for information retrieval are provided. In one method, input content indicative of a retrieval demand is received; and a result page is presented, the result page showing a set of retrieval elements determined based on the input content and a set of retrieval results for the retrieval demand, wherein the set of retrieval results comprises at least one retrieval result matching at least part of the set of retrieval elements. Thus, embodiments of the present disclosure can intuitively present a factor disassembly of a natural language search to a user, so as to facilitate the user to understand a response process of the natural language search request.

The invention discloses an information security monitoring system and method based on project management, and relates to the technical field of information security, and the method comprises the steps: obtaining project context data in real time through a project management platform interface; analyzing project context data, constructing and dynamically updating a project-role-data association model, and generating a security policy context; dynamically generating a fine-grained access control rule and an anomaly detection threshold based on the security policy context; continuously monitoring and recording user operation behaviors, and performing real-time anomaly detection and risk assessment; and when a security event is detected, a closed-loop response process is automatically triggered, and a predefined disposal action is executed. According to the invention, deep real-time fusion of the security policy and the project service context can be realized, the differential adaptive capacity of the system is improved, the risks of unauthorized access and data leakage are effectively prevented, automatic linkage of the security event response and the project progress is realized, and the overall security operation and maintenance efficiency is improved.

The invention discloses a query method and device of a self-moving device, a storage medium and an electronic device.The query method of the self-moving device comprises the steps that under the condition that a voice query instruction sent by a target object is received, running of a current work task of the self-moving device is stopped; determining to-be-queried content of the voice query instruction, and determining a query result corresponding to the to-be-queried content; generating feedback voice corresponding to the query result; under the condition that it is determined that the feedback voice is generated or in the generation stage of the feedback voice, the execution of the self-moving device on the current work task is recovered, and the feedback voice is played after the execution of the current work task is recovered; according to the technical scheme, in the voice query response process, the resource scheduling principle that stable operation of the core work task is firstly ensured and then the voice task is executed is determined, so that interference and efficiency influence of the query process on the core work task of the equipment are avoided, and the execution efficiency of the core task of the equipment and the system stability are guaranteed.

To provide an information processing system, information processing method, and program that can efficiently handle the process of responding to multiple reviews displayed on a review management interface, following a predetermined processing order. [Solution] The information processing system identifies multiple reviews that are the target of a reply from among multiple reviews displayed on the review management interface, manages the multiple reviews according to a predetermined processing order, obtains a draft reply corresponding to the review currently being processed, and accepts user input to reflect the draft reply in the reply input area corresponding to the review currently being processed. Then, in response to the user input, the information processing system reflects the draft reply in the reply input area corresponding to the review currently being processed and sets the next review as the next target of processing.

The application relates to the technical field of intelligent response, and particularly discloses an intelligent response method and system based on the Internet, which comprises the following steps: receiving a query request of a user, obtaining target content, determining a display flow of the target content based on the operation behavior of the user; obtaining the face acquisition permission of the user, obtaining face data of the user based on the face acquisition permission, and generating an observation area sequence according to the face data; receiving problem information input by the user in real time, positioning a target area in the display flow based on the observation area sequence; determining an identification processing path of the problem information based on the target area, and querying response information in a response information database based on the identification processing path; and the identification processing path is used for representing the traversal query order of the response information database. The application fundamentally optimizes the response process, greatly improves the response speed, and is convenient to popularize and use.

The invention provides an operation and maintenance processing method and system of a tunnel intelligent fire-fighting system, and relates to the technical field of tunnel fire-fighting system operation and maintenance, firstly, an operation and maintenance trigger signal is received to start an interactive response process, and the trigger signal is derived from equipment abnormity feedback or environment change preset conditions; then collecting equipment operation situation and environment influence situation information to construct a comprehensive situation data set; based on a dynamic situation mapping model, establishing interaction association characteristics of the two, wherein the dynamic situation mapping model is formed by training historical interaction data; a targeted operation and maintenance action sequence is generated according to the interaction association characteristics, and equipment adjustment, component maintenance and environment adaptation operation are included and are sequenced according to priorities; and after executing the sequence, collecting and updating the situation information optimization model. The method can actively find hidden dangers, comprehensively and accurately analyze situations, generate targeted operation and maintenance actions, improve operation and maintenance efficiency and guarantee stable operation of a tunnel fire fighting system.

This disclosure provides a method, apparatus, device, storage medium, and program product for response processing. The method includes: at a client device, in response to receiving a query request for a digital assistant during a session with the digital assistant, sending the query request to a server device via a predetermined first communication link; receiving a response message for the query request from the server device via a target communication link among a plurality of communication links, the plurality of communication links including at least the first communication link; and providing the response message as a response from the digital assistant to the query request. Thus, the client device and the server device can select an appropriate communication link from the plurality of communication links to transmit the response message, which can improve the quality and efficiency of data transmission during the response process, thereby improving the quality and efficiency of response processing.

This application provides a method, apparatus, electronic device, and storage medium for responding to data packets. The method includes: receiving request information and searching for multiple response packets corresponding to the request information; performing a response process based on the multiple response packets, the response process including: determining whether the data volume of the multiple response packets is greater than the first threshold; determining that the data volume of the multiple response packets is greater than the first threshold, and using a round-robin algorithm to select a first predetermined number of target response packets from the multiple response packets for response, wherein the first predetermined number is less than the total number of response packets. This eliminates the need for truncation of response packets when the data volume is large, and instead uses a round-robin selection method for response processing, ensuring that each response packet has an equal probability of being selected, thus guaranteeing the response efficiency.

The invention relates to the technical field of distributed detection, and particularly discloses a network intrusion detection method and system based on multi-modal traffic feature fusion, and the method comprises the steps: monitoring traffic information in real time, carrying out the statistics of the traffic information according to a preset port sequence, and obtaining a traffic feature matrix; traversing the traffic feature matrix according to a preset intrusion feature kernel, and querying a detection task corresponding to the intrusion feature kernel; performing task splitting on the detection task to obtain detection sub-tasks, constructing a detection black box according to the detection sub-tasks, and executing the detection sub-tasks; the response result is synchronized based on the detection black box; according to the method, the detection task is determined through the flow monitoring process, the detection task is split, the sub-tasks obtained through splitting are subjected to black box processing, the detection result is synchronized through the black box, the process is an instantaneous result response process from the perspective of a user, the public time period of the detection process is greatly shortened, and the risk probability in the detection process is reduced.

The invention belongs to the technical field of hybrid energy storage cooperative control, and particularly discloses a hybrid energy storage system power grid power cooperative control method based on an emergency working condition, and the method comprises the steps: dividing a response process into a first frequency modulation stage, a second frequency modulation stage and a third frequency modulation stage when the power grid power enters the emergency working condition; the method comprises the following steps: setting a dominant energy storage type at each stage according to stage characteristics, realizing adaptive coupling of energy storage type advantages and a response stage, facilitating improvement of regulation and control efficiency, and constructing an energy storage unit characteristic set by obtaining charge states, geographic positions and available powers of all energy storage units of different energy storage types so as to improve regulation and control efficiency. Therefore, in each stage, the leading unit and the following unit are selected from the energy storage unit feature set according to the leading energy storage type of the stage, an adaptive coordination mechanism in an energy storage cluster of the same type can be established in the stage, optimal distribution of power instructions in the cluster is realized, and the overall cycle life of the energy storage system is effectively prolonged.

The invention belongs to the technical field of supply chain management, and discloses a block chain-based supply chain real-time monitoring method, which realizes seamless connection of supply chain data from acquisition, processing to chaining through deep combination of an Internet of Things sensor and edge calculation, breaks through the limitation of traditional periodic data updating, and improves the real-time monitoring efficiency. And the abnormal event is captured at the moment of occurrence and the processing flow is triggered. The automatic execution mechanism of the intelligent contract reduces the manual intervention link, enables the abnormal response process to be converted from passive waiting to active processing, remarkably improves the real-time handling capability of the supply chain risk, and guarantees the continuity and stability of the business process. The limitation of a traditional preset rule is broken through through an anomaly detection model based on a graph neural network, and potential risks, including dominant anomaly of a single node and implicit collaboration risks of multiple nodes, in a complex scene can be recognized by learning a collaboration mode between the nodes.

Disclosed herein is a system and method for preventing API attacks using a channel for transmission of data, particularly via an API Virtual Server having an admin panel, a Request Process Flow, a Response Process Flow, and an API event log Database that provision for virtual addressing of the API and creation of unique sessions for API calls.