92 results about "Action plan" patented technology

The invention relates to the technical field of atlas construction and recognition, in particular to a teenager psychological question recognition and intervention method fusing a teaching atlas and grading, which comprises the following steps: S1, data acquisition is carried out, a family system atlas is constructed, and the family system atlas represents family members and family rules through nodes, representing the relationship strength between the members and the rule execution consistency probability through edges; s2, jointly inputting the home system atlas and user question description input in real time into a situation-risk joint inference model, and outputting an enhanced question identifier fusing a situation type, a risk level and a most fragile relationship path; and S3, taking the most fragile relationship path as a core retrieval key, retrieving an intervention strategy from the strategy knowledge base, and generating a targeted micro-action scheme. According to the method, the family system atlas is constructed, and the most fragile relation path mechanism is introduced, so that the structural modeling and context awareness inference of the family structure and relation dynamics are realized.

A large language model (LLM) system includes a personal AI agent, an enterprise AI agent, and a public AI agent. A method for operating the LLM includes: executing a first action plan to obtain a first integrated answer and a first integrated score based on a first query using the personal AI agent; and executing a second action plan to obtain a second integrated answer and a second integrated score based on a second query using the enterprise AI agent. A method for applying the LLM system includes: transforming a bitmap of a block diagram into a scalable vector graphics and integrating a semantic tag into the scalable vector graphics; training the large language model by using the scalable vector graphics integrated with the semantic tag and using a functional specification document; and generating a structured text description of the block diagram using the large language model which is trained.

This invention relates to the field of emergency response simulation technology, specifically disclosing a highly efficient emergency response plan optimization and intelligent reasoning method and system. The method includes: real-time access to data streams from physical sensors, social media, and public databases to construct a panoramic view of the emergency situation; constructing an emergency knowledge graph based on the panoramic view and a pre-defined domain ontology; identifying graph substructures that conform to pre-defined graph features within the emergency knowledge graph, and reading the corresponding emergency action plans to generate at least one comprehensive plan; performing deduction and optimization on the generated comprehensive plan, selecting and applying the optimal action plan, monitoring the application data of the optimal action plan in real time, and recursively updating the deduction process. This invention standardizes the data stream and determines the knowledge graph reflecting the scenario state based on the standardization results, resulting in highly readable data and extremely high efficiency in outputting emergency response plans.

A system is provided.SOLUTION: A system comprising: means for acquiring energy and water usage data in real time from sensors installed in each home or business; means for cleaning the acquired data, removing noise, and converting the data into a format suitable for learning; means for training a model using the cleaned data and generating an algorithm for proposing an optimal resource management method for each home or business; means for generating a specific action plan based on an analysis result and delivering the action plan to a user; and means for collecting feedback from the user and retraining the model.SELECTED DRAWING: Figure 1

A computer-implemented system and method for predicting, visualizing, and applying workplace strengths profiles are disclosed. The system includes a processor executing modules that: (i) map user-identified strengths and external data (e.g., LinkedIn, HR, team benchmarks) to one or more enneagram types; (ii) transform those types into prescriptive guidance, predictive insights, and adaptive developmental plans using machine-learning refinement; and (iii) generate dynamic visualizations of team strengths and “what-if” scenarios through a visualization analytics engine. The system continuously personalizes recommendations and action plans by learning from user data, organizational context, and proprietary prescriptive content.

A system is provided.SOLUTION: The system includes a means for collecting event information across the country and notifying the user according to the user's preference, a means for providing and evaluating a ticket sales schedule and a ticket purchase method, a means for providing transportation means to an event venue and accommodation facility information around the venue and supporting reservations, a means for proposing an action plan based on the user's itinerary and event schedule, and a means for providing a community function that allows users having the same purpose to interact with each other.SELECTED DRAWING: Figure 1

Method for operating a vehicle system (9) of a motor vehicle (8), wherein the vehicle system (9) provides an autonomous driving function for fully automatic control of the motor vehicle (8), wherein, in the event of a deactivation event indicating that the autonomous driving function is to be deactivated, an action plan is executed which includes a request to take over driving to a driver of the motor vehicle (8), where, at least for some of the deactivation events, upon fulfillment of a deactivation event-specific termination condition indicating the elimination of the deactivation reason, the action plan is terminated, particularly within a termination period, while maintaining the autonomous vehicle function.

Provide a system. 【Solution means】 Means for centrally managing schedule information, Means for proposing an action plan based on the preferences of each household member, Means for automatically collecting and organizing image and video data, Means for sending notifications for specific events or occasions, Means for presenting integrated information using a visual display device, Means for proposing activities based on past data of outdoor activities, Means for making reservations and confirmations for outdoor activities, A system including means for displaying videos and images based on a time series.

A system is provided.SOLUTION: A system comprising: sensor means for measuring environmental information such as soil conditions, moisture levels, light levels, and the like; storage means for storing the environmental information collected from the sensors in a cloud database; analysis means for executing a generative AI model to perform an analysis based on the information stored in the cloud database; action plan generation means for generating an action plan for crop management based on the analysis; and prediction means for providing a prediction of future crop production.SELECTED DRAWING: Figure 1

The invention relates to the technical field of multi-modal data processing, and discloses a multi-modal conference summary automatic generation method and system, and the method comprises the steps: fusing multilingual voice transcription and speaker identity alignment information, and constructing a conference speaking directed heterogeneous graph; based on the conference speaking directed heterogeneous graph, generating a task-dependent simple complex with an execution semantic anchor point; based on the task-dependent simple complex, context-aware summary structured rendering and intelligent action plan generation are performed. According to the method, automatic generation of the multi-modal conference summary is realized by constructing the conference speaking directed heterogeneous graph and the task-dependent simple complex, meanwhile, accurate coding of the incidence relation between conference tasks is completed, efficient conversion from conference decision to actual execution is assisted, and the execution efficiency of teams on the conference decision and the project closed-loop management capability are improved.

The invention relates to the technical field of property service, and discloses a cloud computing-based joyful cloud intelligent property service digital platform. A property environment sensing module of the system deploys a distributed sensing network to collect multi-dimensional environment parameters, performs abnormal marking and generates an environment data flow with a mark; the service demand analysis module receives the environment data stream, identifies service demand features through a mode identification engine, constructs demand feature vectors and generates a service demand map; the cloud resource adaptation module queries a cloud resource directory according to the service demand map, calculates a resource adaptation degree through a dynamic matching algorithm, and generates a resource allocation scheme; the service execution planning module converts the resource allocation scheme into a service action plan, formulates a service task sequence and dispatches the service task sequence to a service terminal; and the service efficiency monitoring module tracks a service task execution state in real time, collects feedback data to evaluate a service efficiency index, and feeds back the index to the service demand analysis module to optimize a mode recognition engine.

Provide a system. 【Solution means】 An information terminal means for inputting user attribute data, A computing device means for receiving and analyzing the attribute data, Means for designing a plurality of career paths for the user based on the generated analysis results, Means for outputting the career path to the user and obtaining opinions, Means for modifying and improving the career path based on the opinions, Means for creating a specific action plan based on the final career path, Means for cooperating with an auxiliary system and providing necessary support, Means for presenting a career improvement path specific to the care field, A system including the above.

The application discloses a disaster early warning system and method based on a large language model multi-agent, which comprises a situation awareness agent, an execution agent, a field expert agent group, a system shared state module and a tool library module, the situation awareness agent is used for monitoring data and triggering a warning workflow signal, the execution agent is used for decomposing and routing tasks, the field expert agent group comprises an emergency management agent and a plurality of expert agents in different fields, and is used for executing professional tasks in different fields and writing back task analysis results in different fields to a unified state, the situation awareness agent, the execution agent and the field expert agent group call corresponding tools in the tool library module and interact information through the system shared state module, and early warning information is automatically generated according to a preset template by the emergency management agent. The application can improve the accuracy and consistency of early warning research and judgment, and shorten the time from risk discovery to forming an executable action plan.

An object of a system according to an embodiment is to efficiently analyze complaint data from a customer and to propose a specific improvement measure.SOLUTION: A system includes a complaint data collection part, a preprocessing part, a text analysis part, an insight generation part, a cause analysis part, and an action plan recommendation part. The complaint data collection unit collects complaint data. The pre-processing section pre-processes the complaint data collected by the complaint data collecting section. The text analysis part performs text analysis of the claim data preprocessed by the preprocessing part. The insight generator generates insights based on the frequency, trend, and relevance of the issues extracted by the text analyzer. A cause analysis part analyzes the cause of the claim based on the insight generated by the insight generation part. The action plan recommendation unit recommends an action plan based on the problem identified by the cause analysis unit.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to create concrete action plans for an individual's dreams and goals and to effectively manage their progress. [Solution] The system according to the embodiment comprises an analysis unit, a generation unit, a visualization unit, and a dialogue unit. The analysis unit analyzes the current situation. The generation unit creates an action plan based on the information analyzed by the analysis unit. The visualization unit visualizes the progress of the action plan created by the generation unit. The dialogue unit performs in-depth analysis and adjustments in a dialogue format based on the progress visualized by the visualization unit.

A device provides an agentic experience for a user. An agentic manager, which is a management app on the device for providing the agentic experience, receives a request from the user via a user interface. The agentic manager sends a prompt incorporating contextual information of the request to an agentic artificial intelligence (AI) model. The contextual information is retrieved from an on-device database and identifies one or more apps on the device. The agentic manager receives from the agentic AI model an action plan for calling a target app among the one or more of apps. The agentic manager sends action requests according to the action plan to the target app to invoke functionalities of the target app, and sends to the user via the user interface an output that incorporates a response generated by the target app.

Techniques for routing a user input to an action and associated parameters to generate a response to an utterance using a digital assistant and a plan bank for API chains are disclosed. A system can access, based on an utterance, a plan bank that includes composite tools. Each of the composite tools includes: a chain of tools including: application programming interface (API) tools or other composite tools, and associated logic. The system can generate, by a first generative artificial intelligence model, an action plan including one of the composite tools. The system can execute the action plan to obtain response data by executing actions associated with each of the API tools or the other composite tools. The system can generate, by a second generative artificial intelligence model, a response to the utterance based on the response data and can provide the response to the user.

A system is provided.SOLUTION: A system comprising: means for receiving user input data; means for using an artificial intelligence algorithm to analyze the received data; means for generating user-customized habits and action plans based on the analysis; means for displaying the generated habits and action plans to the user; means for receiving and monitoring user progress data; and means for generating and providing feedback to the user based on the progress data.SELECTED DRAWING: Figure 1

The invention relates to a method for operating a vehicle system (9) of a motor vehicle (8), in which the vehicle system (9) provides an autonomous driving function for fully automatically guiding the motor vehicle (8), in which, if a deactivation event indicating that a deactivation of the autonomous driving function should be performed, an action plan is executed, which comprises requesting a driver of the motor vehicle (8) to take over driving, according to the invention, at least for a part of the deactivation event, the action plan is terminated while maintaining the autonomous vehicle function, in particular during an interruption period, if a deactivation event-specific interruption condition indicating that the cause of deactivation has been eliminated is satisfied.

A method for performing a task according a FLARE model including a multi-modal planning module and an environment-adaptive replanning module is provided. The method of an AI agent includes steps of: (a) instructing the multi-modal planning module to calculate degrees of similarity between training data and a current pair comprised of natural language data and image data and acquire k natural language data by using the degrees of similarity; (b) instructing the multi-modal planning module to generate an initial action plan by using the k natural language data; and (c) if a target required to perform a sub-goal is not detected from egocentric-recognizing information, instructing the environment-adaptive replanning module to select a candidate target having a highest similarity to the target among candidate targets and generate a revised sub-goal by using the candidate target, and perform the sub-goal by using the revised sub-goal.

A system is provided.SOLUTION: The system includes a means for collecting and managing office data using a geographic information system, a means for collecting disaster information in real time from an external API and sensor data, an AI means for generating an appropriate initial action plan based on the collected disaster information, a means for notifying the office of the generated initial action plan, a means for compiling a situation after the occurrence of a disaster and creating a report for a management layer, a means for accumulating response data and generating a manual based on the response data, and a means for providing a dashboard and a web application for providing these pieces of information to a user.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to analyze customer complaint data and propose specific improvement measures. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a generation unit, a recommendation unit, and a provision unit. The collection unit collects customer complaint data. The analysis unit performs text analysis on the complaint data collected by the collection unit. The generation unit generates insights based on the frequency, trends, and relevance of the problems extracted by the analysis unit. The recommendation unit proposes an action plan based on the insights generated by the generation unit. The provision unit provides the action plan proposed by the recommendation unit.

An artificial intelligence device according to an embodiment of the present disclosure may comprise a memory configured to store a plurality of action plan templates; and at least one processor configured to: obtain a command and an initial image, obtain an action plan template among the plurality of action plan templates based on the obtained command and initial image, generate a robot control command from the command, the initial image and the obtained action plan template, and control both arms of a robot through the generated robot control command.

The application discloses a method and system for predicting casualties caused by earthquakes and landslides, taking into account population dynamic characteristics and environmental heterogeneity, which comprises the following steps: step one, collecting all environmental factor data and multi-source population distribution data in the target earthquake area according to a preset spatial unit; step two, inputting the collected environmental factor data into a preset logistic regression model to obtain an earthquake landslide probability; step three, processing the multi-source population distribution data by using a data fusion method to obtain a dynamic population distribution during an earthquake occurrence period; step four, processing the environmental factor data based on a random forest algorithm model and a SHAP method to obtain environmental heterogeneity parameters and environmental factor contribution degrees; and step five, obtaining a probability distribution of casualties caused by earthquake landslides according to a probability prediction model of casualties caused by earthquake landslides. The application improves the accuracy of the evaluation of casualties caused by earthquake landslides and provides a reliable basis for formulating an action plan for earthquake rescue.

The embodiment of the application provides a kind of dialog operation method and related equipment for work order system, belong to intelligent operation technology field.The method includes obtaining operation task type by carrying out intention recognition to user input text;According to operation task type, operation process is obtained by action arrangement, and the operation process includes multiple action steps with execution sequence;For each action step of operation process, the execution data of the action step is extracted according to the implementation of user input text, and the operation entrance of action step is generated, to obtain the action plan structure data of each action step;According to the execution sequence indicated by operation process and multiple action plan structure data, operation execution list for indicating operation work order system is obtained.The operation execution list of the scheme directly carries the operation entrance of each action step, and the corresponding action can be realized by executing the operation entrance that has been checked by rule and whitelist, so as to improve the operation efficiency of work order system and reduce error rate.

The invention discloses an action scheme generation method and a related product. In the scheme, a to-be-processed task text is decomposed to obtain a plurality of to-be-processed sub-tasks; the plurality of to-be-processed sub-tasks are logically independent sub-tasks with an execution dependency relationship; matching a sub-task model for each to-be-processed sub-task, and for each to-be-processed sub-task, processing the corresponding to-be-processed sub-task by using the matched sub-task model to obtain a candidate action scheme corresponding to each to-be-processed sub-task; and integrating the candidate action schemes in one-to-one correspondence with the plurality of to-be-processed sub-tasks to obtain an action scheme corresponding to the to-be-processed task text. Compared with the prior art that the decision-making precision is generally low and an accurate action scheme is difficult to generate when facing complex, variable and multi-constraint decision-making tasks, the method has obvious advantages.

The invention provides a traditional dwellings protection planning system and method based on machine vision, and relates to the technical field of traditional dwellings protection.The method comprises the steps that visible light and thermal infrared images of a traditional dwellings building structure are obtained, structural defect information and biological erosion defect information are extracted respectively, component space positions are bound, and a defect data set is generated; and carrying out parallel analysis on the data set, generating two types of risk data through structural safety and biological erosion evaluation, and fusing in a three-dimensional model to obtain a comprehensive risk score of damage and erosion coupling. And according to the score and the defect attribute, calling a multi-objective planning rule base containing risk emergency degree, repair difficulty, historical value and resource constraint, and optimizing to generate a protection action plan containing intervention priority, measure, plan and resource estimation, so that accurate identification of traditional dwellings, risk coupling assessment and scientific formulation of protection planning can be realized.

An enterprise system may include one or more devices that perform respective operations of an enterprise and a sustainability platform system to determine a sentiment regarding input data by monitoring one or more input data sources based on monitoring parameters associated with aspects of sustainability of the enterprise. Additionally, the sustainability platform system may determine if changes to the input data are likely to have occurred based on the sentiment, and, if so, trigger a data search for the new input data. The sustainability platform system may also obtain the new input data via the input data sources based on the data search, generate one or more sustainability action plans for improving sustainability parameters of the enterprise based on the new input data, and send one or more commands to the devices to adjust their respective operations according to the one or more sustainability action plans.

The disclosed system provides an adaptive, modular platform for automated compliance in clinical research and other environments. It integrates a rule-based artificial intelligence engine, real-time sensor feedback, and blockchain-based audit logging to ensure protocol adherence and regulatory transparency. The system supports deployment across cloud, edge, and hybrid infrastructures, enabling contextual enforcement through non-persistent data processing and immutable event tracking. By dynamically interpreting trial protocols and adjusting enforcement logic based on environmental inputs, the system facilitates continuous compliance with HIPAA, 21 CFR Part 11, Good Clinical Practice (GCP), protocol, and SOP standards. The architecture is designed for scalability, auditability, and proactive corrective action planning across diverse trial sites and study phases.

The disclosure includes embodiments for providing altruistic mobility by one or more vehicular micro clouds. The method includes predicting, by a processor, based on sensor data describing a roadway environment that a future conflict of interest between a first set of vehicles and a second set of vehicles will occur in the roadway environment that includes the connected roadway infrastructure device. The method includes forming a first vehicular micro cloud including the first set of vehicles and the connected roadway infrastructure device. The method includes forming a second vehicular micro cloud including the second set of vehicles. The method includes determining steps included in an altruistic action plan that is operable to obviate the future conflict of interest. The method includes instructing the first set of vehicles and the connected roadway infrastructure device to execute the steps of the altruistic action plan to obviate the conflict of interest.