324 results about "Information Harvesting" patented technology

The invention provides an intelligent emergency decision support method and device based on multi-Agent cooperation. The method comprises a task planning module, an information acquisition module, a data fusion module and an execution monitoring module. The task planning module adopts a hierarchical decision-making mechanism, performs task decomposition in a plan making stage, generates a plurality of candidate execution paths by using thinking tree reasoning in a plan execution stage, and selects an optimal scheme. The information acquisition module acquires multi-source information such as network search, knowledge graph and geographic data through a plurality of professional Agents. And the data fusion module adopts a blackboard mode to manage heterogeneous information, and realizes intelligent abstract and correlation analysis through a large language model. And the execution monitoring module realizes dynamic optimization and fault self-recovery of the system through a multi-dimensional progress evaluation and cooperative monitoring mechanism. According to the invention, the problems of insufficient information processing capability, low decision-making efficiency and poor system stability of a traditional emergency decision-making system are solved. The information collection and processing efficiency is improved through large language model multi-Agent cooperation, the decision quality and accuracy are improved through a hierarchical decision mechanism, and long-term stable operation of the system is guaranteed through self-adaptive monitoring. The method is suitable for complex emergency decision-making scenes such as natural disasters, safety accidents and public health events.

To increase the amount of information to be utilized.SOLUTION: An information processing system includes an information processing apparatus, a first terminal device that holds first user characteristic information, and a second terminal device that holds second user characteristic information. The information processing apparatus includes: an information collection unit which collects, from the first terminal device, first anonymized information generated by anonymizing the first user characteristic information, and collects, from the second terminal device, second anonymized information generated by anonymizing the second user characteristic information; a learning unit which generates a model configured to learn, by machine learning, a relationship between the first user characteristic information and the second user characteristic information, using the first anonymized information and the second anonymized information, as learning data, and output, on receipt of the first user characteristic information, estimated user characteristic information estimated from the relationship between the first user characteristic information and the second user characteristic information; and a model output unit which outputs the model to the first terminal device.SELECTED DRAWING: Figure 3

The invention discloses an Internet of Things equipment rule generation method which comprises the following steps: receiving a rule generation demand of Internet of Things equipment, and performing retrieval in the Internet and different databases by a large language model according to the rule generation demand based on an MCP protocol to obtain context information related to the rule generation demand; wherein the rule generation demand comprises an information collection demand of the accessed Internet of Things equipment and a service operation demand of the Internet of Things equipment; and the big language model automatically generates a service operation rule and / or an alarm rule which are / is related to the service operation demand of the Internet of Things equipment and can be called by an Internet of Things platform execution engine according to the context information. Based on the MCP protocol and the large language model, the multi-source Internet of Things equipment document is automatically archived and analyzed, automatic generation and self-adaptive optimization of the service rule and the alarm rule are realized, and the operation and maintenance intelligence and automation level of the Internet of Things system is improved.

The invention belongs to the technical field of artificial intelligence, embedded systems and action confrontation command, and discloses an action model learning system and method based on embedded AI. The system comprises an information collection module used for collecting historical action information and carrying out data preprocessing, and the historical action information comprises action environment data, confrontation situation information and decision data; the feature extraction and model construction module is used for extracting features from the preprocessed historical action information by using a deep learning algorithm to obtain action dynamic change features and enemy action mode features, and matching the action dynamic change features and the enemy action mode features with corresponding decision data results to form a training set; training the embedded AI model by using the training set to generate an action model; according to the invention, dynamic data from actions can be processed and learned in real time, so that the action model is continuously optimized, and the command decision-making capability is improved.

The invention discloses a commodity recommendation method and system based on agent and hotspot information collaboration, and relates to the technical field of intelligent recommendation, and the method comprises the steps: obtaining structured hotspot data, commodity dynamic information and current user data in parallel through a hotspot information collection tool, a commodity information collection tool and a user information collection tool; performing multi-source information fusion based on a large language model, and generating a structured recommendation demand including a target user, a hotspot association direction, a commodity constraint condition, a user preference matching point and a recommendation priority; and matching and screening the commodities meeting the requirements, and performing multi-dimensional priority ranking according to the hotspot association closeness, the user preference matching degree, the commodity cost performance and the inventory sufficiency to generate an optimized commodity recommendation list. According to the method, semantic comprehension and information fusion are carried out based on a large language model through deep collaboration of hotspot information and user requirements, and the accuracy, timeliness and adaptability of commodity recommendation are improved.

The invention discloses a hydroelectric generating set data acquisition and analysis method, system, equipment and medium, and belongs to the technical field of data acquisition and analysis, and the method comprises the steps: obtaining various original data of the operation of a hydroelectric generating set, and achieving the information collection of the set and the operation environment; performing multi-level structured modeling and node feature extraction on the acquired data by adopting a mode of combining a knowledge graph and a graph convolutional neural network, and analyzing an operation state and a future trend of a unit; according to a data analysis result, comparing a historical working condition with a scheduling task, judging whether the operation of the unit is in a reasonable interval, and triggering a corresponding regulation and control measure when the operation is abnormal; by monitoring the state and operation data of key equipment in real time, actual and reference parameters are compared, potential fault risks are identified, early warning information is generated, and data archiving and statistical analysis are carried out; and carrying out visual display on data acquisition, analysis, scheduling and early warning results. Collected data are effectively utilized, and scheduling decision and early warning maintenance are powerfully supported.

The invention discloses a digital latent social robot generation and specific data acquisition method and device. The invention belongs to the technical field of computers. The method comprises the following steps: generating a social robot: training a multi-modal large model based on general recognition to obtain the social robot with semantic understanding and simulated dialogue reply generation capabilities; understanding and generation of multi-modal information: understanding the multi-modal information, and generating and replying information; emotion analysis and calculation: carrying out emotion state modeling, analyzing the emotion and understanding of the social contact object, and carrying out dynamic reply; specific personality shaping: carrying out personality shaping to maintain personality, maintaining behavior consistency of roles, and carrying out active identity defense and latency; establishing a specific relationship: identifying a specific target and establishing the relationship; and specific data acquisition: acquiring and storing specific social data in private chat and group chat scenes. According to the technical scheme, information can be replied in time, information collection and analysis efficiency is improved, and comprehensive acquisition of communication data is realized.

The invention relates to methods and systems for integrating generative artificial intelligence (AI) capabilities into Software as a Service (SaaS) platforms. It comprises maintaining AI agents with varying credentials, enabling their interaction with alphanumeric data in table structures, and implementing a hierarchical access control scheme. The system displays table structures, provides interfaces for user inputs, and allows AI agents to be added as platform users. The generative AI agents can analyze data, identify actions, and perform tasks autonomously. The invention also includes methods for proactive information gathering, interactive analysis of AI outputs, and management of AI resources as limited assets. This approach enhances SaaS functionality by enabling AI-driven task completion, data analysis, and decision-making while maintaining data security and user-specific access controls.

Systems, apparatus, and methods for access resolution based on situational awareness. The system adapts to the behaviors of users and provide more secure, more natural operation. Unlike existing solutions that are focused on a single factor / multi-factor authentication and binary outcomes (grant / deny), the exemplary “physical access resolution” system assesses the entire access event (not just identity) and may responsively launch multiple resolutions at points throughout the access event (not just a binary decision). Various entities employ layers of abstraction and integration between logical layers to allow for integration across nodes. Information collection may be staged and handled with varying levels of privacy protections. Access resolution may be implemented according to multi-modal and / or confidence-based metrics.

The invention discloses a remote intelligent control system for multimedia equipment and an implementation method thereof, and belongs to the technical field of network communication, and the implementation method comprises the following steps: acquiring network environment information of the multimedia equipment, judging an NAT (Network Address Translation) type, and generating a mixed penetration protocol selection rule to determine an initial penetration protocol; the method comprises the following steps: acquiring port allocation characteristics of NAT equipment based on an initial penetration protocol, generating port prediction parameters through linear increment prediction and LSTM neural network training, and formulating a port prediction and keep-alive strategy; executing UDP (User Datagram Protocol) penetration according to a keep-alive strategy, starting a TCP (Transmission Control Protocol) standby mechanism when the UDP penetration fails, and generating a penetration scheme by combining HTTP tunnel encapsulation and firewall inbound rule configuration; equipment identification information collection, signaling interaction, penetration attempt and connection establishment are completed based on a penetration scheme, successful feedback is generated after verification is passed, and remote control is realized; according to the invention, the stability and efficiency of remote connection of the multimedia equipment in a complex network environment are improved.

The invention relates to the technical field of marketing, and discloses a laundry customer marketing system based on big data, which comprises the following steps: firstly, collecting customer information, specifically collecting customer name, contact information, address, gender and age information in a customer registration filling mode, and collecting evaluation of customers on laundry service, environment and price; third-party data acquisition is carried out to obtain customer data provided by a third-party platform, and the customer data comprises calculation of the average consumption amount, consumption frequency and evaluation scores of customers; carrying out data mining, specifically mining and discovering a hidden mode and a rule in customer data; according to requirements, marketing target customer crowds are analyzed from the angles of transaction channels, transaction amounts, transaction frequencies and member identities, and information of target customers is accurately returned and exported. Through the accurate customer portrait and the self-service analysis function, the laundry can accurately identify the target customer crowd and formulate the personalized marketing strategy, the marketing accuracy is improved, and the marketing effect is improved.

The invention belongs to the technical field of software code automatic repair, and discloses a Python type error repair method based on a large model, which comprises the following steps of: 1, acquiring an error code segment, and running a test case to obtain error information; 2, a repair task is decoupled into three sub-tasks of error understanding, information collection and self-verification and patch generation; 3, inputting the error information description into a large language model to generate a repair hypothesis; 4, analyzing a repair hypothesis, identifying missing repair elements, retrieving a code file, and complementing the repair elements according to a static analysis result and a call chain; 5, verifying the consistency and integrity between the restoration hypothesis and the complementation information through a self-verification agent, generating feedback information if the information is insufficient or conflicts exist, and triggering preorder task iteration; and 6, generating a patch through a patch generation agent according to the verified repair elements, and verifying the correctness of the patch through automatic testing. According to the method, the overall repair accuracy is improved.

Systems and methods here may be used for receiving a recording of a user response to a prompt, transcribing, the recording to generate a transcript, analyzing, using a lightweight language model, the transcript and the prompt to determine whether the user response is complete, in response: retrieving, contextual information associated with the user, generating, using a large language model, a follow-up prompt based on the transcript, the prompt, and the contextual information, transmitting, the follow-up prompt to a user device, and receiving, a second recording of a user response to the follow-up prompt.

A system and method for managing and curating electronic resources through interactive circuits. The system enables dynamic content curation and visualization, allowing users to organize and present information based on context and relevance. A collaborative authoring environment supports real-time co-editing, conflict resolution, and layered annotations, facilitating knowledge sharing and teamwork. The system incorporates a workspace feature that enhances user interaction with circuit content, enabling drag-and-drop functionality, annotation creation, and reference-first content management. This integrated approach streamlines information gathering, analysis, and dissemination, while maintaining content integrity and traceability. By leveraging advanced AI techniques and user-centric design, the system provides a comprehensive solution for managing complex information ecosystems, fostering collaboration, and extracting valuable insights from diverse data sources.

The invention discloses a multi-agent penetration test tool arrangement and unified calling method and computer equipment, and the method comprises the steps: constructing a semi-centralized multi-agent collaborative framework comprising a main control agent, a reconnaissance agent and an attack agent, and abstracting a penetration test process into an interactive task environment; unified calling and result return of various penetration test tools are realized through a model context protocol, and the expandability and safety verifiability among different tools are ensured; modeling a relationship among a target host, ports, services and vulnerabilities in real time by using a dynamic knowledge graph, and performing denoising, association and semantic alignment on multi-source tool output in combination with a preference-driven chained thinking mechanism to form a context-aware knowledge fusion module; and taking the fused knowledge as decision input, guiding multiple agents to complete task planning, tool selection and command generation, and realizing full-process automation from information collection to vulnerability utilization.

The invention discloses a remote sewage treatment system based on a big data model. The remote sewage treatment system comprises an information collection module (100), a data processing module (200), a data prediction module (300) and a visualization module (400), the information collection module (100) comprises a sensing network unit (101) and an edge signal calculation unit (102), the sensing network unit (101) comprises a sensor arranged at the position of a sewage treatment facility, and the edge signal calculation unit (102) is used for preprocessing collected data; the data processing module (200) verifies the causal relationship among the water quality parameters by adopting a convergent cross-mapping algorithm; and the data prediction module (300) is used for establishing a bidirectional neural network and predicting an expected water quality index. The method has the advantages that the method has better effects in the aspects of data acquisition density, feature interpretation, prediction precision, operation and maintenance efficiency and the like compared with a traditional system, and especially under the dynamic working condition, the error of the bidirectional neural network model is controlled at a low numerical value and is obviously improved compared with a traditional method.

An information processing device according to the present disclosure is provided with: a trouble information collection means for collecting information pertaining to a trouble; a vehicle information collection means for collecting information pertaining to a plurality of vehicles present in a prescribed range from the location where the trouble has occurred; an estimation means for estimating, on the basis of the information pertaining to the trouble, a function required for handling the trouble; a team organization means for selecting, on the basis of the information pertaining to the vehicles, an appropriate vehicle that satisfies the estimated function from among the plurality of vehicles, and organizing a team; and a transmission means for transmitting an instruction to the appropriate vehicle included in the organized team to head for the location where the trouble has occurred.

The invention provides an information collection device, an information processing system and an information collection method, which can fully and stably collect information when a disaster occurs. An information collection device includes: an information collection determination unit that determines whether or not to perform collection of peripheral information; an image acquisition unit that acquires an image of the periphery of the moving body in response to the determination by the information collection determination unit; an image processing unit that calculates the degree of abnormality from the acquired image as a feature quantity; a transmission determination unit that determines whether or not to transmit the image to the server in response to whether or not the feature amount exceeds a threshold value; and a communication unit that transmits the image to the server on the basis of the determination. The transmission determination unit changes the threshold value in response to the communication status of the communication unit. The information processing system comprises the information collection device, a server and a disaster countermeasure center. The information collection method includes an information collection determination step, an image acquisition step, an image processing step, a transmission determination step, and a communication step.

An information providing device (10) includes a scope generation unit (121), an information collection unit (123), and an answer determination unit (124). The scope generation unit (121) generates a plurality of scopes relating to a problem on the basis of an inquiry message related to the problem. The information collection unit (123): generates, for at least one of the plurality of scopes, a question sentence in which the situation of the problem is questioned, and a target user of the question sentence; transmits the question sentence to the user; and acquires an answer to the question sentence. The answer determination unit (124) determines an operation for solving the problem on the basis of the answer.

The present invention relates to a vehicle control system in which a plurality of ECUs of a vehicle-mounted device are communicably connected to each other, and is configured to include: a source information database (221) that stores source information (Dso) associated with a control function for each of the plurality of ECUs when the ECUs are functioning properly; an information group setting section (217) that sets an information group from the source information (Dso), the information group being composed of information combinations for different ECUs; an information collection section (211) that collects current information corresponding to the source information (Dso) from each of the ECUs targeted by the information group; and an abnormality detection section (213) that detects a situation in which any of the ECUs targeted exists abnormality, in a case where a degree of coincidence between correct answer information (Dc) calculated by an evaluation function (f) with the information group as an argument and an evaluation value (Ve) calculated by the evaluation function (f) with current information corresponding to the information group as an argument is lower than a reference.

To acquire information for supporting diagnosis.SOLUTION: An information collection system has: image acquisition means that acquires an image obtained by photographing an affected part of a user; determination means that determines which symptom of a plurality of symptoms the image of the affected part indicates; and control means that controls to present inquiries and receive answers to the inquiries, the control means presenting a first inquiry group including an inquiry related to a first symptom determined based on the image of the affected area, and presenting a second inquiry group including an inquiry related to a second symptom determined based on the image of the affected area and answers to the first inquiry group.SELECTED DRAWING: Figure 2

An object of the system according to the embodiment is to provide a personalized consultation by utilizing accumulated data and information from an experienced person in the same circumstances.SOLUTION: A system includes a database utilization part, an information collection part, an analysis part, and a consultation providing part. The database utilization unit utilizes accumulated data. The information collecting unit actively collects information from surrounding experienced persons in the same circumstances. The analysis part analyzes the collected word-of-mouth information and experience talk. The consultation providing unit provides a personalized consultation.SELECTED DRAWING: Figure 1

We provide security measures that integrate and analyze information from cyberspace and physical space using generative AI. [Solution] A security support device 10 is provided, comprising: a cyber information collection means 150 for collecting anomaly information in cyberspace; a physical information collection means 160 for collecting anomaly information in physical space; a cyber-physical correspondence means 170 for associating anomaly information in cyberspace with anomaly information in physical space; a generation AI input / output means 110 for inputting the associated anomaly information in cyberspace and anomaly information in physical space as prompts to a generation AI 20 and obtaining security measures as a response from the generation AI 20; and a CPS integrated security measure determination means 120 for assigning priority and reliability to the security measures, which are the response from the generation AI 20, and transmitting them to a CPS (cyber-physical system) 30.

The invention discloses a circuit board quality tracing method and system based on production data, and relates to the technical field of circuit board tracing. A circuit board quality tracing system based on production data comprises a circuit board information collection module and a circuit board quality backtracking module. According to the method, the circuit board production parameter sequence, the real-time sensor data and the monitoring image are comprehensively utilized, fusion analysis of multi-dimensional data can be achieved, tiny anomalies which are difficult to perceive in a traditional method are found, and the accuracy and comprehensiveness of anomaly detection are greatly improved; according to the method, a time sequence diagram convolutional network and a multi-head attention mechanism are utilized, multi-source data are integrated in real time in the production process, the structure of a circuit board production quality map is dynamically adjusted, and real-time feedback and early warning are provided for quality problems in the production process.

An object of a system according to an embodiment is to propose a way of spending leisure on the basis of a user's preference.SOLUTION: A system according to an embodiment includes an information collection unit, a preference analysis unit, and a proposal generation unit. The information collection unit collects an answer to a simple question from a user. The preference analysis section analyzes the user's answer collected by the information collection section and understands the user's preference. The proposal generation unit proposes a way of spending leisure on the basis of the preference of the user analyzed by the preference analysis unit.SELECTED DRAWING: Figure 1

The invention discloses an intelligent fusing method and system for a micro-service architecture. The method comprises the steps that a user sends a service request to a high-availability cluster through a client, a command center converts the request into a specific instruction and sends the specific instruction to an information collection center, and then the specific instruction is processed by a service module. A processing result is fed back to the command center, whether abnormity occurs or not is judged according to the result, and corresponding fusing logic is executed. According to the method, the application performance and the user experience under the micro-service architecture are effectively improved by monitoring the service calling stability in real time, optimizing the resource allocation and enhancing the expandability and the flexibility of the system.

The invention relates to an offline classroom interaction method for network anonymity and repeated trial and error, belongs to the technical field of education technology and classroom teaching, and aims to initiate multiple rounds of anonymous questionnaires by using an online interaction platform in a face-to-face classroom environment and organize students to perform'answer feedback guidance 'closed-loop interaction through a preset guidance knowledge point sequence. In each round of interaction, the system carries out real-time statistics and visualizes the distribution of anonymous answers of all students, and a teacher carries out targeted explanation according to the distribution and reveals a local and guiding new knowledge point to drive the students to think and answer again in the next round. After multiple rounds of progressive guidance of trial and error correction, cognition of the students converges to a target conclusion step by step, and finally effect verification and comparison evaluation are carried out through a round of real-name questionnaire. The method effectively solves the problem that information collection is distorted and incomplete due to public expression pressure in traditional classroom interaction, promotes students to deeply understand and internalize complex viewpoints through a structured and repeated cognitive guide path, and remarkably improves the authenticity, accuracy and effectiveness of interactive teaching.

The application discloses a scalable network security risk checking method, and relates to the technical field of network security, and comprises the following steps: establishing a network information collection mechanism to collect network information from each node of a target network; establishing a risk feature library, initializing the feature library, storing feature information of common network security threats in the risk feature library in a classified manner, and establishing indexes and classification labels; extracting a network topology graph from network topology information, calculating a network scale evaluation value according to the network topology graph; and generating a checking strategy according to the network scale evaluation value. The application flexibly generates a checking strategy according to a network scale evaluation value, is suitable for networks of different scales and architectures, can timely adjust the checking strategy when the network scale changes, ensures the effectiveness of risk checking, and effectively overcomes the limitations of traditional methods designed for specific network architectures.

The application relates to an artificial intelligence-based safe intelligent privacy protection area management server, a method thereof and a privacy protection detection device, the privacy protection area management server comprises a detection information collection unit, an information analysis unit and a processor for controlling the operation of a detection area service processing unit, the processor receives the detection area state information containing detection area identification information transmitted from the privacy protection detection device, uses a pre-learned artificial intelligence model, masters the existence of a dangerous condition by behavior analysis on the detection area state information, analyzes whether a dangerous condition exists by judging whether the behavior state of a user in the detection area is consistent with a preset dangerous state, and outputs dangerous alarm information containing relevant detection area identification information when the analysis result exists a dangerous condition.

The embodiment of the invention provides an abnormal webpage recognition method and device, electronic equipment, a storage medium and a computer program product. The method comprises the steps that a first agent, a second agent and a third agent are constructed in a multi-mode large language model; inputting webpage information of a webpage to be recognized into the multi-modal large language model; information screening is conducted on the webpage information through the first intelligent agent, and screening information needing abnormal webpage recognition is obtained; performing information collection on the to-be-identified webpage based on the webpage information and the screening information through a second intelligent agent to obtain collected information; and performing abnormal webpage identification on the to-be-identified webpage based on the webpage information and the collection information through a third agent, and outputting an abnormal webpage identification result through a multi-modal large language model. According to the method, the webpage information is screened, collected and recognized through the intelligent agent in the multi-modal large language model, so that the recognition accuracy of the abnormal webpage is improved.