138 results about "Interaction management" patented technology

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 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.

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 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 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 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.

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 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.

The application discloses a kind of vehicle-road cooperation information interaction management systems, it is related to vehicle-road cooperation information interaction management technical field, including, data acquisition module: collection vehicle sensor data, infrastructure data and telematics data;Preprocessing module: the data collected is preprocessed;Data fusion module: data is fused;Environment perception module: the data after fusion is environment perception, generates global environment perception graph;Behavior prediction module: behavior prediction is carried out based on global environment perception graph;Risk assessment module: risk assessment is carried out according to behavior prediction result;Early warning module: early warning signal is generated based on risk assessment result;The application has beneficial effects: the efficient fusion of multi-source heterogeneous data is realized, accurate global environment perception graph is generated, the perception ability to dynamic change in complex traffic environment is improved, and the reliability of behavior prediction and risk assessment is significantly enhanced.

The invention discloses an intelligent interaction management method and system for a coal-fired thermal power plant, and relates to the technical field of coal-fired thermal power plant management, and the method comprises the steps: collecting multi-source heterogeneous data of the coal-fired thermal power plant; generating a structured data asset library; building an intelligent interaction core module; a layered intelligent control system is constructed, a production intelligent control layer performs parameter prediction and closed-loop regulation and control on production core equipment based on production related data in a structured data asset library, and an environmental protection intelligent control layer performs parameter optimization and linkage regulation and control on environmental protection processing equipment through a mechanism-data hybrid drive model based on production data and environmental protection monitoring data. The technical problems that in the prior art, a coal-fired thermal power plant lacks a collaborative management linkage mechanism, so that the operation efficiency is low, the environmental protection standard reaching stability is poor, and the management intelligence level is insufficient are solved, and accurate collaborative management and control of the coal-fired thermal power plant are achieved. And the operation efficiency, the environmental protection standard reaching stability and the management intelligence level of the factory area are improved.

The invention discloses an intelligent label dynamic guidance interactive management system, and relates to the technical field of label management, a weak area identification module analyzes channel connectivity in a navigation grid, identifies an abnormal channel area and marks the abnormal channel area as a weak connection area, a parameter endowing module endowing each path node in the weak connection area with a guidance constraint parameter, and a parameter endowing module endowing each path node in the weak connection area with the guidance constraint parameter; the path optimization module calculates congestion coefficients of the weak connection areas, judges whether the congestion coefficients exceed a coefficient threshold value or not, performs iterative correction on weights of path nodes of the weak connection areas according to the guide constraint parameters if the congestion coefficients exceed the coefficient threshold value, and performs path optimization when the congestion coefficients of all the weak connection areas are detected to be not higher than the coefficient threshold value. And the output module outputs the current global path guiding scheme after iteration optimization to all the intelligent labels for display. According to the management system, an intelligent interaction management mechanism with people flow behaviors as the center is constructed, and transformation and upgrading of a label system from a static guiding tool to a self-adaptive guiding platform are achieved.

This application is directed to a method, an apparatus, and a system to, for example, enable a user to interact, manage, and control certain aspects of its own traffic by providing the user with controllable network functions and associated interfaces within the mobile network architecture. In an example method for a user equipment (UE) to control a network service obtained from a network, a control, management, and operation (CMO) function module instantiated in the network may receive from the UE, a request for the UE to control the network service offered by the network. In response to the request, the CMO function module can instantiate at least one network function (NF) configured to be controlled by the UE. The CMO function module can further configure the at least one NF to control the network service in accordance with instructions received from the UE.

In order to solve the problem that a traditional 5GC platform interaction mode mainly depends on manual instruction input or selection operation of a user, the invention discloses a 5GC platform intelligent interaction method and device based on intention recognition and a storage medium, and belongs to the technical field related to core network element management in 5G mobile communication. The method comprises the steps of collecting and preprocessing user interaction behavior data; identifying a user intention based on the preprocessed user interaction behavior data; implementing the user intention according to the category of the user intention; and sending the user intention implementation result to the client for presentation. According to the method, the operation process is greatly simplified, the decision making process is accelerated, meanwhile, the operation error rate is reduced, and 5GC platform interaction management is more intelligent and efficient.

1. Name of the product in this design: Voice-enabled module for voice interaction management graphical user interface of electronic device. 2. Application of this design: This design is intended for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: The interface is mainly used for the interactive interface of voice interaction management in the vehicle system. The partial appearance of the interface is used for the voice and image interaction module. The main view is the initial interface, and you can interact with the voice avatar through voice commands or other interactive operations such as clicking. When the voice icon module in the main view receives the relevant "turn right" voice command and responds (or the voice icon module in the main view is swiped to the right), the interface will display the interface change state shown in Figure 1. When the voice icon module in the interface change state diagram 1 receives the relevant "turn right" voice command and responds (or slides the voice icon module in the interface change state diagram 1 to the right), the interface will be displayed as shown in the interface change state diagram 2. 7. This design is a partial design, and the partial design for which protection is sought is the voice image module shown in the non-gray covered area in the view (not the reference drawing) (as shown in the enlarged partial view). The appearance shown in the gray-covered area in the view does not require protection. The design for which protection is sought does not include color.

The embodiment of the invention provides a database instance isolation method and system and a host machine, the database instance isolation method is applied to the host machine, at least two resource objects running database instances are deployed on the host machine, and the database instances running in the at least two resource objects belong to different tenants; an isolation component is configured in each resource object, the isolation components are used for performing resource management and interaction management on the resource objects, and running environments among the resource objects are isolated through the resource management and the interaction management; a target elastic network card in a target private network associated with the target tenant is also mounted in each resource object, and communication networks among the resource objects are isolated by mounting the target elastic network card in the target private network.

Embodiments herein provide a method for user interaction management in a user interaction application in an electronic device. The method includes: generating and displaying artificial frames among a plurality of real frames of a user interaction application, and receiving user input on the artificial frames displayed among the plurality of real frames of the user interaction application; detecting an object in the artificial frame input by the user; determining a correlation between the user input, coordinates of the object in a real frame of the plurality of real frames, and coordinates of the object in the artificial frame based on the object detected in the artificial frame; and displaying an interaction of the object in the artificial frame based on the determined correlation.

The invention discloses a laboratory environment monitoring data management system based on an Internet of Things platform, and relates to the technical field of data management. An interaction management module is arranged to periodically extract environment evaluation data of a target laboratory, a data cleaning unit selects to clean the environment evaluation data according to a first cleaning step or a second cleaning step according to whether retransmission parameters are stored in the data cleaning unit, and monitoring parameters with relatively long cleaning waiting duration are accurately identified through a sorting list; for the missing value of the retransmission parameter, the data waiting gap is utilized to trigger retransmission to obtain real data, so that resource waste caused by invalid waiting is avoided; meanwhile, the non-retransmission parameters are efficiently processed according to the preset cleaning strategy, the overall data processing period is greatly shortened, safety assessment can be started more quickly, and the timeliness of potential safety hazard checking is improved.

The invention provides a remote control interaction management method and system for an unmanned surface vehicle, electronic equipment and a storage medium. Belongs to the technical field of ship navigation control. The system comprises an input module, a processing module, a communication module and a display module. The method comprises the following steps: establishing two-way wireless communication, converting physical operation of a user into a bottom layer control instruction, sending the bottom layer control instruction to the unmanned ship, and receiving state information such as longitude and latitude, navigational speed, engine rotating speed and oil and electricity quantity fed back by the unmanned ship; and displaying the analyzed data on a display module in real time. The switching logic that the priority of the remote control mode is higher than that of the autonomous mode is specially designed, and the take-over safety under the emergency condition is ensured; an ARM framework and an OLED screen are adopted in hardware, and a full-watertight engineering plastic shell is matched, so that the problems of poor visibility under outdoor strong light and marine environment corrosion are solved. According to the invention, the real-time performance, the accuracy and the environment adaptability of unmanned ship control are effectively improved.

This invention relates to the field of data processing technology, specifically including an interactive management method and system for cross-digital spaces in research and learning, comprising: setting up a knowledge graph and an application scenario network; establishing multi-level associations between the knowledge graph and the application scenario network to set up cross-knowledge links; and setting up a cross-digital space for digital interactive management. It addresses the technical problems of a lack of connection and interaction between science and technology exhibitions, science and technology learning, science and technology research and development, and application, resulting in low research and learning efficiency, disjointed understanding of the entire process of science and technology products, and an inability to meet the core needs of integrating theory and practice in digital research and learning. It achieves the technical effect of setting up a cross-digital space to accurately map theoretical knowledge to practical cases, meeting the research and learning needs of the entire process from basic learning to scientific research exploration, connecting and interacting between science and technology exhibitions, science and technology learning, science and technology research and development, and application, improving knowledge transfer efficiency and interactive experience, and providing research and learning groups with a coherent and three-dimensional cognitive path for science and technology products.

The invention discloses an information interaction management method based on multi-modal fusion, and relates to the technical field of data management, and the method comprises the steps: collecting the historical structure, semi-structured and non-structured data of an enterprise, setting a tracing period, screening out the data which is out of time and has an archiving value, and combining the enterprise data which is collected in real time and is subjected to the desensitization processing. Constructing a knowledge precipitation library with a retrieval function, formulating a precipitation knowledge sensitivity level, and constructing a sensitivity level adjustment model based on a knowledge call log and polynomial fitting; then dynamically adjusting the sensitivity level of the precipitation knowledge according to the model, enabling the employee levels to correspond to the sensitivity level so as to set a data access permission, then labeling the precipitation knowledge with a multi-dimensional label, and matching and pushing accessible precipitation knowledge with the department to which the employee levels belong in combination with the employee levels; and finally, a matching result is calculated according to the number of times and duration of accessing the precipitated knowledge by the employees, and model optimization is performed according to the result to form closed-loop management, so that efficient management and safe management and control of enterprise knowledge assets are realized.

A method for managing a data protection system includes monitoring, by an interaction manager, a data protection workload executing on the data protection system, wherein the data protection system comprises a plurality of services, and wherein the data protection workload is executed by the plurality of services communicating with each other using application programming interface (API) calls, obtaining, based on the monitoring, a copy of the API calls, performing an embedding on the copy of the API calls to obtain API embeddings, applying the API embeddings to a failure prediction engine to obtain a failure prediction for the data protection workload, performing a remediation action on the API calls to remediate the data protection workload, and updating the failure prediction engine based on the remediation action.

Embodiments herein provide a method for user interaction management in a user-interactive application in an electronic device. The method includes: generating and displaying artificial frame in-between a plurality of real frames of the user-interactive application and receiving a user input on the artificial frame displayed in-between the plurality of real frames of the user-interactive application; detecting an object in the artificial frame on which the user input is received; determining a correlation between the user input, coordinates of object in real frame of the plurality of real frames, and coordinates of the object in the artificial frame based on the detected object in the artificial frame; and displaying an interaction of the object in the artificial frame based on the determined correlation.

This invention provides an intelligent cockpit interaction management method, relating to the field of data processing technology. The method includes: receiving voice interaction data, gesture interaction data, and facial expression interaction data collected in the cockpit; performing intent parsing to extract triggering conditions and target functions; combining vehicle operating status parameters, in-vehicle noise level parameters, and driver gaze area parameters to perform correlation filtering; performing conflict detection to determine and remove interaction intents with abnormal triggering conditions or conflicting target functions as invalid; classifying tasks according to the category of target functions to generate a task candidate queue; confirming tasks in the task candidate queue and generating a valid task queue for tasks that meet the triggering conditions; and performing task scheduling according to the valid task queue, interrupting low-priority tasks and switching execution when a higher-priority task input is detected. This invention improves the accuracy of cockpit interaction management.

The application discloses a data management system based on a live broadcast interaction platform, which comprises a data acquisition module, an interaction management module and a feedback module. The data acquisition module is used for collecting real-time barrage data, comprehensive data of students watching live broadcast and recorded broadcast on a student end, and question data of students, collecting visual images and environmental comprehensive data of students watching live broadcast during live broadcast teaching, and inputting comprehensive data of historical live broadcast into a system. The interaction management module is used for training an identification model by using the historical live broadcast comprehensive data, identifying and counting live broadcast barrages according to the identification model, analyzing visual images of students watching live broadcast, analyzing iris data of students and environmental data of students watching live broadcast, evaluating learning states of students according to analysis results, analyzing student barrages and watching records of students on live broadcast recording screens, and obtaining knowledge points of students. The data management system has the characteristics of high accuracy and strong interaction.