219 results about "Interaction management" patented technology

The invention relates to a battery fault diagnosis large language model algorithm based on semantization and a battery interaction management platform. The algorithm comprises the following steps: cleaning and processing real-time data of a new energy automobile battery; carrying out the selection design of related statistical characteristics according to the real-time data of the new energy automobile battery; constructing battery fault diagnosis semantics and a fine tuning data set which are respectively used for instruction input and fine tuning training of the large language model; performing fine tuning on the pre-trained large language model to obtain a fine-tuned battery fault diagnosis large language model; deploying the fine-tuned battery fault diagnosis large language model and performing reasoning diagnosis on real-time data; and establishing a battery knowledge database, a retrieval knowledge base and an intelligent analysis and interaction battery fault diagnosis platform. Under the condition of small samples, by combining the functions of a large model, stronger fault interpretability and intelligent battery data management and maintenance capability are provided, and the method has the advantages of good generalization and accurate fault detection.

The present invention describes a system and a method for monitoring and optimizing a user interaction session within an interactive voice response system during a human-computer interaction, the user interaction management system (100) for monitoring and optimizing the user interaction session comprising a conversation controller module (109), the conversation controller module (109) receives the audio features and processes outputs of ASR and NLU during the user interaction session to optimize the user interaction session duration. According to an embodiment of the present invention, the conversation controller may suggest the TTS to increase the rate of speech. According to yet another embodiment, the conversation controller may suggest the TTS to decrease the rate of speech.

The invention discloses a real-time interaction and intelligent management method for a multi-dimensional data space, and relates to the technical field of data interaction management, and the method comprises the following steps: I, collecting multi-source data, including structured data, unstructured data and spatio-temporal data, in real time through a diversified collection terminal, and dynamically adjusting the sampling frequency based on a data entropy value, carrying out cross-device space-time synchronization calibration and edge end lightweight processing on the acquired data; iI, preprocessing the data flow in real time, fusing the multi-modal data, and the like. According to the method, the sampling frequency is dynamically adjusted based on the data entropy value, and in combination with edge end lightweight processing, invalid data transmission is reduced, and the key data acquisition efficiency is improved; hot data is stored in a time sequence database and a memory database, real-time monitoring of an emergency scene and second-level response of emergency command are supported, dynamic capacity expansion and shrinkage of computing resources are matched, edge-cloud end collaboratively distributes tasks, network delay is reduced, and system stability and response speed in a high-concurrency scene are guaranteed.

The invention discloses a deep learning-based lung cancer early screening system, and particularly relates to the technical field of medical assistance, which comprises an intelligent data ecological module, an intelligent analysis and diagnosis module, an intelligent decision support module and a user interaction management module. According to the invention, cross-mechanism data sharing and cooperative training are realized by using data semantic understanding and federated sharing technologies, transparency and traceability of data are ensured through a block chain technology, and in an intelligent analysis and diagnosis module, a deep learning model comprehensively analyzes a multi-modal image and identifies molecular features of cancer cells, so that the accuracy of cancer diagnosis is improved. Potential early-stage lung cancer signs are found through an unsupervised learning algorithm, individual risks are dynamically evaluated, focus development is tracked, and an intelligent decision support module combines personalized treatment suggestions, optimizes clinical pathways and multidisciplinary collaboration, provides accurate decision suggestions and assists doctors in making scientific and effective treatment schemes.

The invention discloses a systemic lupus erythematosus interaction management method based on patient sign data modeling, and particularly relates to the field of lupus erythematosus interaction management, which comprises the following steps: collecting basic data and sign data of a patient, generating a standardized basic data set and an integrity sign data set, feature combination, feature correlation detection and factor extraction are executed, a potential feature space representing patient features is constructed, and static health behavior feature modeling is achieved; the method comprises the following steps: acquiring nurse-patient interaction behavior data, generating a preliminary interaction data set, executing interaction feature extraction and activeness judgment, and generating a standardized interaction feature matrix; a multi-dimensional feature vector and dynamic health behavior link is constructed based on patient sign data and interactive behavior features, and time sequence prediction and response feedback closed-loop optimization are combined, so that dynamic management and individualized intervention of active health behaviors of systemic lupus erythematosus patients are realized.

The invention discloses a vehicle-road cooperation information interaction management system, and relates to the technical field of vehicle-road cooperation information interaction management, and the system comprises a data collection module which collects vehicle sensor data, infrastructure data and vehicle networking data; the preprocessing module is used for preprocessing the collected data; the data fusion module is used for fusing the data; the environment perception module is used for carrying out environment perception on the fused data and generating a global environment perception graph; the behavior prediction module is used for performing behavior prediction based on the global environment perception graph; the risk assessment module is used for performing risk assessment according to the behavior prediction result; the early warning module is used for generating an early warning signal based on the risk assessment result; the method has the beneficial effects that efficient fusion of multi-source heterogeneous data is realized, an accurate global environment perception graph is generated, the perception capability of dynamic changes in a complex traffic environment is improved, and the reliability of behavior prediction and risk assessment is remarkably enhanced.

The invention relates to the technical field of occupational simulation training evaluation, and discloses a system for college student occupational scene simulation training evaluation. The system comprises a task analysis unit, a dynamic behavior modeling unit, a multi-mode interaction management unit, a state evolution tracking unit, a strategy adaptation unit and a comprehensive evaluation generation unit. The system receives the initial scene description and generates a structured task framework, and behavior parameters are configured for student roles; constructing a multi-modal interaction atlas by fusing aligned voice, action and sight line data in real time; identifying a key decision node, and dynamically tracking a team state evolution path; matching and adjusting strategies in a behavior rule base according to the evolution sequence, and outputting an adaptive intervention scheme; and finally generating a multi-dimensional structured evaluation report. According to the system, deep insight and dynamic and objective intelligent evaluation of complex interaction behaviors in the simulation training process are realized.

The invention provides a collection strategy generation and execution system and method based on debtor portrait driving, and belongs to the technical field of data processing, and the system specifically comprises a portrait access module which is used for obtaining a user portrait of a debtor, a strategy generation engine which is used for automatically generating a collection strategy of the debtor based on the user portrait, and an execution module which is used for executing the collection strategy. The execution control module adopts an event-driven architecture to be responsible for automatic execution and real-time control of a collection strategy, the communication management module adopts a natural language processing and dialogue management technology to be responsible for intelligent communication and interaction management in the collection process, and the strategy optimization module is responsible for intelligent management. And online learning and reinforcement learning technologies are adopted to continuously optimize the collection strategy based on the execution result and effect feedback, so that the individuation and pertinence of collection processing are improved.

The invention discloses a digital twinning-oriented multi-modal man-machine interaction method. The method comprises the following steps of: obtaining interactive input of a user on a client for man-machine interaction; when abnormal operation is detected, the human-computer interaction management program adaptively executes corresponding control logic according to a current abnormal mode, an abnormal mode database established by historical data and a network bandwidth; comprising the steps of dynamically adjusting a client interface layout and / or operation logic to replace a standby client, automatically matching an optimal interactive input mode, adjusting an interactive priority and recalculating an optimal interactive input mode. According to the method and the device, the optimal interactive input mode can be switched by adjusting the priority matching of the current interactive input according to the self-adaptive dynamic control client interface layout and / or operation logic, so that the interactive response time is remarkably shortened; therefore, efficient interaction under different working conditions is ensured, unique requirements of different users under complex scenes are met, the satisfaction degree and the interaction efficiency of interaction are improved, and the overall experience and acceptability of the users are improved.

In various examples, an interactive agent platform that hosts development and / or deployment of an interactive agent may include a sensory server for each input interaction channel and an action server for each output interaction channel. Sensory server(s) for corresponding input interaction channel(s) may translate inputs or non-standard technical events into the standardized format and generate corresponding interaction modeling API events, an interaction manager may process these incoming interaction modeling API events and generate outgoing interaction modeling API events representing commands to take some type of action, and action server(s) for corresponding output interaction channel(s) may interpret those outgoing interaction modeling API events and execute the corresponding commands. As such, the interactive agent platform may decouple sensory processing, interaction decision-making, and action execution.

The invention provides an intelligent agent training management method, system and device, and belongs to the technical field of intelligent agents, and the method specifically comprises the steps: taking an interaction demand type between a virtual user and an intelligent agent as a basis, combining the change conditions of interaction user data in different time periods, and carrying out the training management of the intelligent agent; determining an available interaction time period between the virtual object and the intelligent agent, and determining an analysis processing strategy of interaction data between the interaction user and the intelligent agent according to the data of the available interaction time period; according to the method, the interaction management strategy of the virtual object in the time period except the available interaction time period is determined according to the analysis processing result of the interaction data of the virtual object in the available interaction time period and the interaction data between the interaction user and the intelligent agent, so that the updating processing efficiency of the intelligent agent is improved, and meanwhile, the influence on a normal business process is also reduced.

The invention relates to the technical field of customer management, in particular to a cross-channel customer interaction management system and method based on data fusion. The method comprises the following steps: acquiring a customer communication demand, analyzing the customer communication demand, and determining customer basic information and customer communication content; based on multi-channel data, according to the basic information of the customer and the communication content of the customer, determining a consultation intention of the customer; and determining a reply thought according to the customer consultation intention, and responding to the customer according to a preset reply logic and the reply thought. User requirements are quickly responded, and the waiting time of customers is shortened. The personalized service is based on multi-channel data and communication history of the customer, and can provide services better meeting customer requirements, thereby improving customer satisfaction. And by utilizing machine learning and natural language processing technologies, the system can more accurately identify the consultation intention of the customer, and misunderstanding and repeated consultation are reduced. The accuracy of consultation response is improved, and the customer is ensured to obtain correct information and suggestions.

The invention discloses an edge intelligent terminal interaction management method and device, equipment and a storage medium, and relates to the technical field of edge intelligent computing, and the edge intelligent terminal interaction management method comprises the steps: obtaining the use habit and preference setting of a user for an intelligent terminal, and the operation state and environment information of the intelligent terminal; inputting the use habit, the preference setting, the operation state and the environment information into a target energy consumption prediction model to obtain an energy consumption prediction value; adjusting a control strategy for the intelligent terminal according to the energy consumption predicted value to obtain a target control strategy; generating an equipment control instruction according to the target control strategy; and the equipment control instruction is sent to the intelligent terminal, so that the intelligent terminal operates according to the equipment control instruction, and interaction management is completed. The operation state of the intelligent terminal can be adjusted according to the energy consumption, the automation and intelligence level of the system is enhanced, and the energy use efficiency is improved.

The invention relates to the technical field of big data analysis, and particularly discloses a city update multi-dimensional dynamic supervision and analysis system based on big data, which is provided with a data quality processing module, a topology verification evaluation module, a conflict repair matching module and an interactive management feedback module. And extracting data from the city multi-source data set and performing coordinate conversion to form a unified city space data set. And then, starting a topology check engine through a data processing port, and detecting and evaluating a topology conflict degree value of the data set. And according to the conflict degree, matching and executing a corresponding repair scheme, and marking the repaired data set as a city effective data set. And finally, the effective data set is uploaded to a city updating interaction port, subsequent interaction management operation is carried out, the accuracy and availability of the data are ensured, and support is provided for a city updating project.

Method and apparatus are disclosed for collective electronic commerce and distribution of items, such as fungible items / goods and non-fungible items / goods. A system manages a universal ecommerce shopping cart to facilitate creating an itinerary for a group across multiple vendor websites / applications. The systems manages inventory to interface with multiple vendors, manages groups, and / or manages the assignment of fungible items (e.g., products) and non-fungible items (e.g., tickets, access to hotel rooms, etc.) that were selected for being purchased at different times.

The invention belongs to the technical field of teaching management, and particularly discloses and provides an internet-based network teaching interaction auxiliary management system, which comprises a student portrait construction module, a student portrait updating module, a real-time interaction monitoring module, an interaction management evaluation module and a student teaching management terminal. According to the invention, by integrating the functions of multiple modules such as student portrait construction, teaching recommendation, portrait updating, real-time interaction monitoring and evaluation and the teaching management terminal, the learning condition and interaction performance of the student can be accurately grasped, and the personalized recommendation of the teaching course and the dynamic updating of the learning portrait based on the individual characteristics of the student are realized; meanwhile, a corresponding interaction management strategy is flexibly triggered and implemented according to the interaction monitoring data, so that the teaching pertinence and the interaction effectiveness are effectively improved, the teaching quality is improved, the learning experience of students is optimized, the interaction experience of the students in courses is guaranteed, and the overall effect and adaptability of network teaching are enhanced.

The invention provides a forest and grass digital twinborn system based on virtual reality interaction, and the system comprises a feature determination module which is used for collecting forest and grass resource data based on multi-class sensors disposed in an actual forest and grass scene, carrying out the analysis and processing of the forest and grass resource data, and determining the features of forest and grass and environment features; the digital twinborn model construction module is used for constructing a forest grass digital twinborn model based on forest grass characteristics and environment characteristics; and the interaction management module is used for receiving a virtual reality interaction demand of the user based on the interaction interface, carrying out interaction response on the virtual reality interaction demand in the forest grass digital twinborn model, and carrying out forest grass planning decision on an actual forest grass scene based on an interaction response result. According to the method, accurate and effective construction of the forest grass digital twinborn model is ensured, convenience and guarantee are provided for virtual reality interaction, the effect of virtual reality interaction of the forest grass digital twinborn system is improved, and convenience and guarantee are provided for forest grass management.

The invention relates to the technical field of interactive design, and discloses an art design system and method based on dynamic interaction, and the system comprises an interface interaction module, an interaction management module, a data synchronization module and a task distribution module. Multiple users are supported to edit and preview at the same time, the task allocation state is clearly presented, instant communication is promoted, and the cooperation efficiency is greatly improved; according to precise allocation of member specialities, workloads and task requirements, optimization targets are to minimize task completion time and maximize member satisfaction, and reasonable allocation of tasks is guaranteed; the subtask progress is updated in real time, the data detection frequency is dynamically adjusted according to the project condition, and an incremental updating and consistency checking and repairing mechanism is adopted to ensure that members obtain latest accurate information in time; design conflicts can be effectively detected, the smooth design process is solved and maintained by means of a priority strategy and version control, and the efficiency of cooperation of an art design team is comprehensively improved.

The invention relates to the technical field of medical information, in particular to an interventional operation patient perioperative period nursing information intelligent interaction and management system which comprises the steps that through an integrated data collection module, a timeline generation module, a risk identification module, a nursing intervention module and an interaction management module, time axis alignment and structured coding are conducted on scattered physiological data and diagnosis and treatment events; and a dynamic comprehensive nursing timeline is formed. And performing real-time analysis on the timeline based on a preset risk knowledge graph, identifying an abnormal data mode and generating an early warning. The system automatically matches a nursing rule base, pushes individualized intervention suggestions including specific operations, priorities and bases, synchronizes information and collects feedback through a multi-role interaction channel, and realizes closed-loop management. According to the system, fragmented nursing information can be integrated into a continuous dynamic view, and risk early warning and structured nursing actions are directly linked, so that the collaboration, accuracy and timeliness of nursing management are improved.

The invention discloses a content creation and multi-mode display platform based on AIGC, and relates to the technical field of data processing. The platform comprises an interaction management module, a user behavior analysis module and a content creation module which are in communication connection. The interaction management module is used for acquiring a standard instruction word vector and a first retrieval enhancement data set according to the current input information, and generating standard intention data according to the standard instruction word vector and the context information; the user behavior analysis module is used for acquiring a second retrieval enhancement data set according to the historical content description word vector of the user; and the content creation module is used for generating multi-modal content data and corresponding content description word vectors according to the standard intention data, the first retrieval enhancement data set and the second retrieval enhancement data set. According to the method and the device, the accuracy of user intention interpretation is improved, highly related multi-modal content data can be generated for individual users, personalized content generation is provided, and the calculation burden of content creation is reduced.

The invention discloses a data interaction management and control system and method for judicial and administrative business resource integration. The system comprises a presentation layer, an application layer, a service layer, a data access layer and an infrastructure layer, wherein the presentation layer is used for providing a visual interface of a judicial administration data collaborative sharing portal and an interactive management and control portal, and supporting data collaborative sharing and management and control operation of a plurality of business scenes; the application layer is used for combining functions of the service layer, realizing a business scenarized application module and recording an operation behavior log in real time; the service layer is used for packaging preset business logic and providing an atomization service interface; the infrastructure layer comprises network resource load balancing, an API gateway, a hardware security device, a computing resource server cluster, a message queue, a log storage, a relational database, a distributed file storage and a block chain platform node. The block chain is utilized to realize on-chain data access, behavior data is prevented from being tampered, traceability and truth restoration are facilitated, and a person in charge is positioned.

A dialogue-based artificial intelligence system for interaction management in digital commerce, consisting of: a housing that encloses an arrangement of interconnected printed circuit boards; a conversation processing unit arranged on a first circuit board, comprising a syntactic parsing processor for generating hierarchical parse structures from user input texts, a semantic embedding processor for generating high-dimensional semantic vectors from the parsed structures, and a dialogue state calculation circuit for managing a multi-level conversation memory using clocked recurrent memory buffers; a retrieval augmentation unit arranged on a second circuit board, comprising a vector indexing processor for storing and retrieving domain-specific embedding vectors, a similarity calculation processor for calculating cosine-based semantic distances between the semantic vectors and vectors stored in a knowledge store, and a document reconstruction structure for merging retrieved text segments into a unified context representation; a generative response unit arranged on a third circuit board, comprising a transformer execution processor for executing a quantized transformer architecture for natural language generation, a context fusion circuit for merging the unified context representation with the semantic vectors to generate response conditioning data, and a hallucination suppression circuit for comparing the generated text with retrieved text segments and attenuating content divergence beyond a predetermined semantic threshold; a domain integrity check unit that is communicatively connected to the generative response unit, wherein the domain integrity check unit includes a regulatory restriction store that stores domain-driven rules, and a conformance assessment processor configured to check generated responses for conformance with the domain-driven rules, blocking non-conforming segments or replacing them using verified text content from the retrieval extension unit; a knowledge storage array comprising at least one static domain repository for storing commercial specifications, regulatory guidelines, product descriptions, and domain documents, a dynamic interaction buffer for storing anonymized conversation state data, and a vector storage partition for storing embedding vectors that can be retrieved by the vector indexing processor; and a multi-interaction device consisting of a touchscreen panel, an array microphone, a speaker structure and a contactless communication interface, each configured to receive multimodal user inputs or generate multimodal system outputs.

A network communications environment has advanced interaction management functionality that enables the opportunities for users to interact with one another to be expanded beyond the opportunities that exist with closed interaction management approaches while still providing reasonable privacy and security protections that are not available with open interaction management approaches. The advanced interaction management functionality also encourages the proliferation of trust-based interactions.

The invention belongs to the field of digital human interaction management, relates to a data analysis technology, is used for solving the problem that the multi-round interaction state of a digital human cannot be monitored and analyzed in the prior art, and particularly relates to a digital human interaction management system based on big data analysis. Comprising a voice interaction support module, a multi-round dialogue supervision module and an effectiveness optimization analysis module which are connected in sequence, the voice interaction support module is used for identifying voice information received by the digital human, converting the voice information into text information, inputting the text information into the general large model, calling a corresponding output instruction and sending the output instruction to the execution module; according to the method, reasonable logic extension and supplementary answering can be performed according to the questions of the user, the interaction history and intention information of the user in multiple rounds of dialogues can be effectively memorized, the dialogue context association model is established, and it is ensured that the platform can accurately understand the evolution and progression of the intention of the user in the multiple rounds of dialogues.

The invention belongs to the technical field of enterprise data management, and particularly relates to an enterprise data visual interaction management system fusing digital twinning and a BI board. Comprising an enterprise multi-source heterogeneous data adaptation access module, a data preprocessing output module, an enterprise entity twin dynamic construction module, a BI visual dimension data aggregation module, an enterprise operation anomaly multi-feature fusion recognition module and a fusion visual interaction presentation module. Influences of data chaos and deviation on analysis results are avoided from the source through an enterprise multi-source heterogeneous data adaptation access module, real-time synchronization of enterprise operation states and early warning of equipment faults are realized based on dynamic digital twinners, and a BI visual dimension data aggregation module meets requirements of users of different levels and reduces docking cost. And by distinguishing positive and negative features and calculating a directional anomaly deviation rate and a comprehensive anomaly degree, misjudgment caused by traditional single features or non-distinguishing directions is avoided, and enterprises are assisted to respond to risks in time and carry out targeted rectification.

A method of application modernization engine executed by processors. The application modernization engine provides an improved contextual document processing and specific information extraction. The method includes receiving, by document intelligence sub-system of the application modernization engine, data of an enterprise computer system generated by artificial intelligence agents. The method includes processing, by the document intelligence sub-system, the data by extracting and ingesting specific contextual information to achieve document classification and feature extraction. The method includes providing, by the document intelligence sub-system, the specific contextual information, the document classification, and the feature extraction to the artificial intelligence agents to implement processes on top of the existing enterprise computer system to achieve objectives.

The invention provides a converged communication gateway based on MCData service and an application method, and the converged communication gateway employs a modular design and a micro-service architecture, and specifically comprises an interaction management module which is connected with a data processing module and is used for carrying out the interaction behavior management of a terminal accessed to the converged communication gateway; the service management module is connected with the data processing module and is used for carrying out related service management on the server accessed to the converged communication gateway; the link module is connected with the data processing module and is used for providing a link management service for the terminal or the server; the data processing module is connected with the operation and maintenance supervision module and is used for processing and optimally managing service data of interaction between the converged communication gateway and the terminal and the server based on an MCData protocol; and the operation and maintenance supervision module is used for monitoring the operation condition of the converged communication gateway in real time and providing an automatic operation and maintenance tool when the converged communication gateway breaks down.

The invention relates to a user management method based on a data interface platform, and relates to the technical field of log management, a user registers an account through the data interface platform, completes identity authentication and obtains a login credential, the user carries out login operation by inputting the login credential, and the data interface platform carries out user authentication and authorization. The authentication passes the input of a user name and a password and verifies whether the user name is matched with the password, the authorization is set according to the role and authority of the user, after the user authentication and authorization are completed, an administrator checks a registered new user, and after the check is passed, the user can normally use a data interface. The method comprises the following steps: checking a user, monitoring behaviors of the user and the use condition of a data interface, tracking the behaviors of the user and the use condition of the data interface by using a log recording and monitoring technology for the checked user, interacting with a background through the data interface, and performing management operation on the user by an administrator.

The invention discloses a charging pile intelligent peak-valley period adjustment charging energy storage system and method, and relates to the field of charging piles. Comprising a charging pile region time-phased electrical load presetting module, a multi-power-supply-mode dynamic identification and division module, a to-be-charged vehicle demand analysis module, an execution charging queue intelligent scheduling module, an adjacent pile cooperative monitoring recommendation module and an interaction management platform. A charging pile group power supply mode rule base in peak, valley and tip three-level dynamic time periods is constructed, real-time analysis is performed on demands of to-be-charged vehicles in a charging pile group, an emergency charging demand identification and priority response mechanism is performed, the interiors of the tip and peak time periods are screened, the vehicle demands are responded preferentially, and through power supply load uniform distribution and a basic guarantee charging strategy, the charging pile group power supply mode rule base is established. The charging pile group can serve more low-electric-quantity vehicles in the same time period, meanwhile, the intelligent recommendation function guides the user to the adjacent charging pile with the low load, and the service fairness and the user satisfaction degree are improved.

The system introduces an evolutionary advance in enhancing human-computer interaction by integrating voice commands with manual input, structured through an Action-Object-Attribute-Variable (AOAV) framework. It enhances manual graphical interface navigation by integrating adaptive, voice-driven execution mapped directly to software elements. Core modules utilize BERT, ELMo, NER, and reinforcement learning (PPO) to interpret intent, maintain contextual continuity, and refine command accuracy. Anaphora Resolution allows natural, multi-step phrasing, while a Generative Adversarial Network (GAN) sharpens ambiguous inputs and CNN-based validation ensures precise UI targeting. A dynamic Interaction Manager synchronizes concurrent voice and manual inputs in real time. The system supports cloud-synced, multi-user collaboration with role-based adaptation. By reducing reliance on repeated cursor movements and manual clicks, it minimizes strain-related injury and expands accessibility for users with physical limitations. The result is an adaptive, predictive interface that transforms software interaction into faster, more natural, and inclusive experiences across creative, enterprise, and assistive software environments.