93 results about "Technology system" patented technology

This application relates to the field of home kitchens, and discloses a social public opinion risk intelligent prediction system, including: a data collection module, which is used to collect text, image and video data from multi-source heterogeneous data sources in real time, including social media, news websites, forums, blogs and self-media; a data preprocessing module, which is used to clean, normalize, segment and tag the collected data to form a structured data set; an advanced natural language processing module, which is used to use the pre-trained Transformer model and graph neural network to perform deep semantic analysis on the pre-processed text data, and extract entity, relationship and context semantic features. By integrating advanced natural language processing, deep learning and multimodal data fusion technology, the system can monitor and accurately predict social public opinion in real time, quickly capture emergencies and public opinion changes, and deeply analyze complex semantics and emotional tendencies.

The invention relates to the technical field of classroom interaction analysis, in particular to an ideological and political classroom interaction analysis method and system based on multi-modal fusion. The method comprises the following steps: S1, collecting data from different modes in an ideological and political classroom; s2, extracting characteristics related to ideological and political teaching from data of different modals through a self-attention mechanism architecture; s3, fusing the features of different sources related to ideological and political teaching by using a convolutional neural network; and S4, using the fused features to establish an interaction analysis model based on a random forest model to analyze the effectiveness of ideological and political classroom interaction. According to the invention, data of three different modes of video, audio and text are fused, so that the method can comprehensively capture various interactive information in an ideological and political classroom, including teaching modes of teachers, emotional reactions of students and content quality of classroom discussion; the effectiveness of ideological and political classroom interaction can be evaluated by using an advanced machine learning technology system.

The invention discloses a personalized interaction enhancement method and system based on a big language model, and the method and system can accurately capture and understand the demands, interests and preferences of a user through the personalized interaction enhancement based on the big language model, thereby providing a more personalized interaction service, and greatly improving the user experience. Particularly, a self-iterative user portrait mechanism is innovatively introduced, and the behavior pattern and interest change of the user are tracked in real time by dynamically analyzing historical dialogue information, so that the dialogue strategy can be adjusted at any time, and the response content is ensured to be highly consistent with the current demand of the user. Besides, by utilizing a topic segmentation and keyword matching technology, the system can quickly identify the intention of the user, ensure the context correlation of the dialogue, and provide deep domain knowledge support through knowledge graph extension. Generally speaking, the interactive quality is improved, the user portrait is more accurate and dynamic, the personalized service capability is effectively enhanced, and the intelligent response level of the system is improved.

The invention discloses an operating system health assessment method and system based on multi-dimensional index dynamic weighting, and the method comprises the steps: collecting the state of each hardware module, calculating the index, carrying out the weighted summation to obtain the score of the hardware module, adjusting the weight parameter of each hardware module through combining with the real-time load characteristic or business priority, and carrying out the real-time evaluation of the health of each hardware module. Performing weighted summation on the scores of the hardware modules to obtain a hardware health score; software state information in the operating system is collected, scores of all software modules are calculated, the software modules comprise key components, key services and key processes, and the scores of all the software modules are weighted and summed to obtain software health scores; and performing weighted summation on the hardware health score and the software health score to obtain a health score of the operating system so as to determine the health state of the operating system. The invention aims to solve the systematic defect in the existing health monitoring technology system, improve the comprehensive evaluation capability of the health evaluation of the operating system, and dynamically adapt to the change rule of the actual operating environment.

The invention relates to the technical field of building construction, in particular to a construction method of a variable-curvature super-depth fusiform skylight in a steel structure, and solves the construction problem of a complex space curved surface through digital design, factory prefabrication, intelligent installation and real-time monitoring and compensation. Through a digital twin-driven construction technology system, the worldwide problems of the variable-curvature ultra-deep steel structure in the aspects of form precision, mechanical stability and construction efficiency are solved, a technical normal form capable of being popularized is provided for the ultra-deep and variable-curvature steel structure, and building form innovation is promoted. And meanwhile, the dependence on manpower is reduced through modular and mechanical operation, the construction period is shortened, the safety is improved, and the cost is reduced by combining prefabricated unit components with dynamic monitoring.

Systems and methods are disclosed for generation, adaptive configuration, and personalized display of text and visuals on electronic devices. The multi-level adaptive system may determine and present a configuration of text and visuals that is customized for a specific user's capacity, interests, and needs when that user takes any physical action to reveal more material in a digital work displayed on an electronic device. An embodiment of the invention adapts an electronic presentation in real-time so that the graphics, language (words, sentences, paragraphs etc.), and overall structure of the work becomes dynamic and responsive to the context of individual users, rather than operating as a static object. In one particular example, delivering personalized text and visuals on electronic devices may entail three technology system components: a machine-learning or artificial intelligence (AI) platform; a display program, and a computing device comprising a display.

The invention discloses a multi-dimensional dynamic coupling water conservancy project toughness evaluation method. The method comprises the following steps: S1, data acquisition; s2, disaster chain dynamic simulation: training a GAN model by using the data collected in the step S1, the trained GAN model being used for generating virtual scenes of different disaster combinations, constructing a "structural mechanics-hydrodynamics-ecological model" coupling framework, simulating dynamic evolution after disasters occur, and generating multiple groups of disaster chain evolution processes; s3, calculating a comprehensive toughness index, and evaluating the engineering toughness of each group of disaster chain evolution process generated in the step S2; according to the method, a multi-dimensional dynamic coupling technology system is constructed, the precision and timeliness of toughness evaluation of the water conservancy project are improved, compared with a traditional static evaluation method, the technology realizes dynamic simulation of a disaster chain cascade process and quantitative analysis of multi-system interaction influence, and a more scientific solution is provided for safety management of the water conservancy project.

The invention discloses a technology development analysis method and system based on a patent big language model, and relates to the field of big data analysis. The problems that an existing artificial intelligence patent analysis method is difficult to accurately analyze a technical structure in a patent text, cannot describe a technical hierarchical relationship, is difficult to eliminate technical semantic diversity, cannot systematically analyze a technical evolution process and the like are solved. And the network structure characteristics and the technology node importance are analyzed, and the evolution characteristics of the technology system in different stages, the key technology nodes and the change trend of the technology community structure can be identified, so that technical support is provided for artificial intelligence technology development situation research and judgment and technology layout decision. The method is suitable for a technical analysis scene of million-level patent data.

The invention relates to the technical field of intelligent questioning and answering, in particular to an intelligent questioning and answering method based on context semantics and dynamic retrieval, which comprises the following steps of: splicing data to form a complete dialogue text, extracting a dialogue core theme by using a large model in combination with a thinking chain and small sample learning, and extracting the dialogue core theme based on the dialogue text and a current question. Generating a dynamic keyword set in combination with BM25 and BERT MLM, finally splicing the current problem, the keyword set and the core topic into a multi-dimensional semantic representation, and vectorizing the multi-dimensional semantic representation by using a BGE-M3 embedding model to generate an embedded vector; by combining context topic extraction and dynamic keyword generation technologies, the system can capture core intentions and semantic changes in multiple rounds of dialogues in real time, so that knowledge base retrieval does not depend on fixed keyword matching any more, but dynamically adjusts a retrieval strategy according to a dialogue context; therefore, the matching precision of the question and the knowledge base content is remarkably improved.

The invention discloses an intrusion prevention system used in a meta universe environment, which relates to the technical field of information security and comprises a virtual identity verification module, a virtual asset protection module, a virtual scene integrity verification module, a behavior analysis and threat detection module, a real-time response and recovery module and a security policy management module. According to the invention, by setting a multi-layer defense mechanism, through virtual identity verification, virtual asset protection, scene integrity verification, behavior analysis and other multi-layer defense mechanisms, the system can comprehensively cover various security threats in the universe, it is ensured that a user is protected in each link in the virtual world, and AI and ML technologies are introduced at the same time, so that the security of the user is improved. The system can dynamically adapt to complex virtual interaction scenes and detect and respond to threats in real time, meanwhile, the system can continuously optimize the protection model through the self-adaptive learning function so as to cope with new attack means, and high real-time performance and self-adaptability are achieved.

In one embodiment, a method may implement a multi-layer cybersecurity model for a multi-layer distributed computer system which comprises a sensitive data resource, such as a computing environment with an operational technology (OT) layer with multiple zones, an information technology (IT) layer, a DMZ, and a cloud layer. The method can assess a policy based on a zero-trust model for the sensitive data resource. The method can receive one or more requests, at any layer of a multi-layer distributed computing system, to access the sensitive data resource and acquire identity information for a user account specified in the first request. The method can perform a multi-layer multi-factor authentication of the user account using the identity information and the multi-layer cybersecurity model. In response to authenticating the identity information, the method can acquire sensitive access data corresponding to the identity information. The method can determine a sensitive resource access value using the sensitive access data and the zero trust model. In response to determining the sensitive resource access value is above a predetermined threshold, the method can authenticate the user account.

The invention belongs to the technical field of blockchain and informatization education application, and discloses a college information quality education system based on a blockchain technology, and the system comprises an information quality education system, a blockchain network, an information quality education blockchain platform and a blockchain technology system. According to the college information quality education system and method based on the block chain technology, a block chain distributed account book and an education evaluation system are innovatively and deeply fused; according to the system, a decentralized education chain network is constructed, multi-element data of student learning tracks, teacher teaching efficiency and librarian service records are linked and stored, and cross-mechanism data mutual recognition is realized by using an intelligent contract; the core mechanism of the method comprises the following steps: establishing a learning behavior-resource contribution-teaching evaluation three-dimensional excitation model, and quantifying digital literacy growth of teachers and students through learning currency token; a dynamic weight distribution algorithm is developed, and multi-dimensional cross validation is carried out on data such as course sign-in, practice operation and academic achievements.

The invention discloses an ecological environment management and control partition division method based on multi-element coupling cooperation, and belongs to the technical field of space planning, and the method comprises the steps: S1, constructing a multi-element cooperation and multi-level classification ecological environment partition management and control system; s2, on the basis of natural attributes and space transmission diffusion rules of the ecological environment elements, environment element management and control partitions are divided through partition space boundary recognition and classification delimitation of the ecological environment elements; s3, dividing an environment management and control unit into a priority protection unit, a key management and control unit and a general management and control unit by adopting space overlay analysis; the spatialization, integration and refinement levels of ecological environment management are comprehensively realized and remarkably improved, theoretical systems, key technical methods and application modes in the subject fields of ecological environment evaluation, planning, management and the like are perfected, and technical achievements comprehensively support and construct an ecological environment partition management and control technical system and an application management system. And experience is provided for improvement of a national ecological environment zoning management and control technology system.

A method for the automated early detection of defects in an electrically powered device (1) of a technical system (10) is described. In this method, power parameter values ​​(PIW, POW) of the device (1) are continuously determined based on a continuous measurement of a power parameter of the device (1). A time-averaged power parameter value (PIM, POM) is calculated based on these continuously determined power parameter values ​​(PIW, POW) of the device (1). This time-averaged power parameter value (PIM, POM) is then compared with a reference value (RW) determined based on a reference value (PIM', POM') of the device's (1) power parameter. Finally, based on the result (ΔEV) of this comparison, it is determined whether a defect (D) of the device (1) has occurred or whether a defect (D) is to be expected in the future.A maintenance management system (20) is also described.

The invention provides a vehicle network interaction AI cooperative scheduling method and system based on multi-source data fusion. According to the method, a'federated learning node + abnormal data processing unit 'collaborative architecture and an AI collaborative scheduling model containing topological modeling, prediction and optimization decision submodules are innovatively constructed, and a unique technical system is formed; fusing vehicle, power grid, environment, user and charging station multi-source heterogeneous data, and generating a vehicle-power grid topological association feature set through isolated forest + GAN preprocessing and transverse federated learning encryption fusion; gAT heterogeneous graph modeling, LSTM-Transform prediction, deep reinforcement learning optimization and online learning dynamic parameter adjustment technologies are integrated, and the data processing efficiency is improved; the data privacy security (the original data cross-domain transmission quantity is equal to 0) is realized, the topological association precision is improved by 40%, and the manual risk and the management cost are reduced; the application module generates a charging and discharging instruction, a load adjusting quantity and an excitation scheme, the scientific management of the whole process of vehicle network interaction is supported, the peak-valley cost is reduced by 15-20%, and the carbon emission is reduced by 10-15%.

The invention discloses a construction drawing digital review system and method based on creativity and creativity, and relates to the technical field of construction drawing review. The system adopts an ASP.NET Core cross-platform technical system, has two deployment modes of a single body mode and a cluster mode, is realized in combination with a micro-service architecture, and comprises a client supporting various domestic browsers and instant messaging tools, performs construction drawing review whole-process management through a construction project multi-drawing joint review system, and performs construction drawing review whole-process management through the construction project multi-drawing joint review system. The application layer provides docking with a third-party system and a mobile office function, the universal module provides a cross-application sharing function, and the platform layer provides system basic service. According to the method, digital joint review of the construction drawing is realized by adopting the creative technology, the whole process of project registration, drawing uploading, suggestion book generation, signature management and the like is covered, the standardization and normalization of construction drawing review are effectively improved, and the review efficiency and accuracy are greatly improved.

An apparatus, including: a receiver; processor; distributed ledger and Blockchain technology system; and transmitter. The receiver receives a request for an e-voting ballot regarding an election. The e-voting ballot contains information regarding the elected office race or referendum issue in the election, and a link or hyperlink to information regarding a candidate or referendum issue. The apparatus receives a digital file, containing information regarding a picture, photograph, or video clip, of the individual. The processor transmits the e-voting ballot to a user device. The apparatus transmits a voter account use message and the digital file to the user device. The apparatus receives and stores information regarding a vote or votes cast pursuant to the e-voting ballot. The apparatus stores the information regarding the vote or votes cast in the distributed ledger and Blockchain technology system. The apparatus transmits a vote confirmation message to the user device.

Techniques for placing content in metaverses in environments contextually compatible with the content are disclosed. A system trains a machine learning model to identify virtual environments compatible with content based on attributes representing contexts of the environments. Using the machine learning model, the system determines an environment for a target content item. The system selects the particular environment for placement of the target content item based on the compatibility score.

The invention provides an intelligent warehouse control system based on digital twinning, which comprises a scene model cargo module and an intelligent warehouse WCS system, the scene model cargo module is built under a Unity 3D engine, the intelligent warehouse WCS system comprises a server, a WCS control system and a 3D visualization system, the server is provided with a data acquisition interface information interaction module, and the WCS control system is connected with the 3D visualization system. The WCS control system is provided with a data acquisition module. The 3D visualization system is provided with a scene model cargo module, a model control script module, a visual angle lens control module and an information display module. Based on the digital twinning technology, the 3D visualization technology and the data service technology system, a data channel is connected in a three-in-one combination mode, 3D and visualization of the intelligent warehouse operation process are achieved, the intelligent warehouse operation condition, the cargo logistics process, the equipment abnormal condition, the tray cargo information and intelligent warehouse operation data can be checked in real time, and the intelligent warehouse operation data can be displayed in real time. The goods storage and taking-out conditions of the warehouse and the operation state of the whole logistics system can be monitored in real time.

The present invention is directed to a software-based technology system for managing and executing high volumes of work on complex projects across multiple organizations involving multiple users that results in superior outcomes at significantly reduced time and cost. Litigation is the initial application of this invention; each case is handled as a project. As applied to litigation, the system of the invention empowers a novel method of end-to-end case assessment, planning, execution and management by integrating tools, processes and procedures allowing for more informed decision-making and deliberate execution of all case-related actions as well as enhanced coordination and communication among all constituents, resulting in efficient achievement of targeted outcomes. The system provides intuitive, menu-driven functionality for inputting, processing and utilizing vast amounts of information, including company and case-specific information, attorney discretionary evaluation and input, document templates and monitoring and reporting requirements. A threat algorithm cross-correlates via multivariate analysis critical data points with customized company-specific information and business logic to generate a numeric threat score as an output. The system also predicts the expected settlement range with a high degree of precision for a specific case as the output of one or a combination of multiple artificial intelligence (AI) / machine learning algorithms. The system then generates a unique case strategy (which includes an expected outcome, including projected outcome, Case Plan and estimated attorneys' fees and costs). System logic learns from thousands of examples of similar cases and directs highly effective and efficient execution of a specific Case Plan providing each attorney and staff member assigned a role in a case with a prioritized task list that is updated in real time as other users complete tasks and litigation priorities change. For each user, the system integrates assigned tasks across multiple cases and multiple client portfolios into a single, prioritized task list. The execution features become increasingly valuable given the volume and complexity of projects across multiple organizations and users, allowing users to focus on their area of expertise and avoid the wasted time and distraction of trying to determine what they should be working on or recording notes to communicate what they have been doing since the system automatically performs these functions and directs the various users' next steps while monitoring their progress against the plan. Integration of administrative functions, including automated time tracking, billing and reporting without the need to rely on users to update this information, further increases quality and efficiency of legal services. Key objectives of the system of the present invention include eliminating gaps between business objectives and litigation strategy and optimizing communication and coordination of case-related tasks and priorities in a fully automated fashion, which are all achieved by leveraging data and technology to enable a fundamentally different approach that becomes smarter and more precise via machine learning and predictive modeling.

The invention discloses a data cube searching and question answering method and system based on a large language model, and the method comprises the steps: 1, knowledge arrangement: forming different knowledge blocks for dimension members and metric values of cube data, and storing the different knowledge blocks in a vector library; 2, knowledge searching, wherein user questions are understood and split through a large language model to form one or more subtasks, and vector library searching is conducted on each subtask to obtain a knowledge list of the questions; step 3, knowledge questioning and answering: performing question and answer analysis and carding on knowledge search results by utilizing a large language model, and analyzing whether known information can be used for answering user questions or not; if yes, outputting a final answer; and otherwise, outputting the missing content and carrying out secondary search question and answer. According to the method, a data cube searching and question-answering technology system is constructed based on the large language model and the data cube, and accurate searching and question-answering of enterprise cube data are achieved.

The present application provides a method and apparatus for displaying a service process, an electronic device, and a storage medium. The method for displaying a service process comprises: acquiring service information of a target service; on the basis of the service information, determining at least one target data table related to the target service from among a plurality of data tables included in an information technology system; on the basis of the service information, acquiring from an operation technology system a service execution process related to the target service; on the basis of the progress in executing the target service, determining within the service execution process a first process node in an executing state; and displaying in a display interface the at least one target data table and the first process node, and displaying an association relationship between the target data table and the first process node, and an association relationship between first process nodes. By applying the method for displaying a service process provided by the present application, a fused display effect between the information technology system and the operation technology system can be improved, and the monitoring requirements for a service process can be met.

The application discloses a kind of based on project performance assembly construction technology system evaluation method, belong to civil engineering project management field.The application solves the problem of poor accuracy caused by subjectivity in the existing assembly construction technology system evaluation method using qualitative evaluation.The application divides assembly construction technology system project into three stages, constructs multiple input-output evaluation index system, collects input and output data of different stages of completed assembly construction project of target structure system;Three-stage super-efficiency EBM model is constructed, and the total performance and construction stage performance of the completed assembly construction project of the target structure system are obtained by using the three-stage super-efficiency EBM model and the collected data;The different assembly construction technology systems used by the target structure system are compared and evaluated according to the total performance and construction stage performance.The application is mainly used for the evaluation of assembly construction technology system.

The invention discloses a digital asset popularity guarantee method based on artificial intelligence, and aims to solve the participation dilemma and the risk trap confronted by common users participating in digital assets and fill the vacancy of the traditional financial industry in digital asset livelihood service. According to the method, an artificial intelligence technology system is constructed in combination with human root data on the basis of penetration type civilization compliance all-round dispatch, safety and popularity guarantee is realized through quadruple guarantee of authority screening, technical protection, livelihood adaptation and end office underpinning, and a path is explored for denominated transactions. The core of the method is that an AI algorithm is utilized to generate a user risk bearing capacity label, project risks are monitored in real time, adaptive services and end office understanding are provided by means of a human root double blind interface, the traditional financial industry is linked to create comprehensive service ecology, digital finance is promoted to turn from brutal growth to civilized specifications, and the digital civilized society is assisted to land in a full scene.

The invention discloses an artificial intelligence digital science and technology system based on big data analysis, and relates to the technical field of artificial intelligence, and the system comprises a backup early warning module which is used for collecting data in real time through a collector, and comparing whether the task attribute and task configuration of data backup are abnormal or not in real time; the pseudo data monitoring module is used for monitoring whether data artifacts exist in the data backup process or not in real time and extracting the monitored data artifacts in real time to mark pseudo data positions; and the hierarchical search module is used for receiving alarm signals of existence of the pseudo data in real time through the data receiver, searching the pseudo data in real time and tracking a crushing execution result. According to the artificial intelligence digital science and technology system based on big data analysis, it is ensured that whether backup data is abnormal or not can be judged in time and early warned during data backup, the situation of false data monitoring omission is avoided, and the accuracy of data backup of artificial intelligence digital science and technology is improved.

An apparatus, including a central processing computer and a distributed ledger and blockchain technology system. The central processing computer detects an updating event of or regarding family history information of or for a biological relative or blood relative of the individual, processes information regarding the detected updating event, and updates one of more of the electronic healthcare record, the electronic medical record, the electronic dental record, the electronic pharmacy record, the electronic behavioral healthcare record, or the personal healthcare record, of or for an individual, with information regarding the family history information of or for the biological relative or blood relative of the individual in response to the updating event. The information regarding the updating of the family history information of or for a biological relative or blood relative of the individual is stored in the distributed ledger and blockchain technology system.

The invention provides a building underground structure full life cycle waterproof method based on an information fitting technology. The method comprises the following steps: firstly, collecting climate data of a region where a building is located in the first 50 years, constructing a building structure model by utilizing ENVI-met software, and simulating waterproof performance under different climate conditions; according to the simulation result, the material ratio and the construction technology of the waterproof scheme are adjusted, experimental verification is carried out, and the scheme is continuously perfected by calculating the error range and the fitting degree until the preset standard is reached. And finally, waterproof construction of a basement bottom plate and an outer wall is conducted in sequence according to the optimized scheme. The system collects climate data, simulates the influence of climate on the building, optimizes a waterproof scheme and performs experimental verification to form a complete waterproof technical system, so that the waterproof reliability and durability of the underground structure of the building are effectively improved, and the requirements of high-waterproof-performance scenes such as a hundred-year cultural relic exhibition and storage building are met.

Method for training a machine learning system (200) to evaluate a measurement signal (M) from a sensor (2) configured to determine at least one quantity (A) characterizing an operating state of a technical system (11), wherein the machine learning system (200) comprises a first subsystem (201) configured to determine a latent representation (L) from the measurement signal (M) supplied to it, and wherein the machine learning system comprises a second subsystem (202) configured to determine the quantity (A) characterizing the operating state of the technical system (11) from this latent representation (L), and wherein the first subsystem (201) is trained unsupervised or self-supervised, and wherein the machine learning system (200) is subsequently trained under supervision, characterized in that a student-teacher approach is used.to additionally provide the knowledge from a Foundation Model to the machine learning system during training.

The invention provides a household science and technology system. The household science and technology system comprises a compressor; an exhaust port and an air suction port of the compressor are respectively connected with a first port and a second port of the four-way valve; a first heat exchange port of the outdoor heat exchanger is connected with a third port of the four-way valve; according to the diversity adapter, a first main pipe is provided with a first main flow port and a plurality of first branch ports, a second main pipe is provided with a second main flow port and a plurality of second branch ports, and the two ends of a first branch loop and the two ends of a second branch loop are connected with one first branch port and one second branch port respectively. The first main flow port is connected with a second heat exchange port of the outdoor heat exchanger, the second main flow port is connected with a fourth port of the four-way valve, and an expansion valve is connected between the first main pipe and the outdoor heat exchanger; the first branch loop penetrates through the capillary heat exchanger; the capillary network system exchanges heat with the capillary heat exchanger; a fresh air heat exchanger is arranged in a ventilating duct of the fresh air unit, and the second branch loop penetrates through the fresh air heat exchanger.

The application belongs to the technical field of groundwater resource management, and discloses an integrated method of groundwater source environment safety and sustainable utilization technology, which comprises the following steps: first step, multi-source database construction and feature recognition; second step, technology system construction and applicability evaluation; third step, technology combination comparison and effect evaluation; fourth step, system integration and output. The beneficial effects are as follows: the technical problems of cross-disciplinary joint interpretation and mechanism identification caused by the format and scale conflicts of original data are solved completely. The repeated calculation contribution caused by the strong internal correlation of indexes is effectively weakened, so that the applicability score of the final calculation can truly and accurately reflect the physical matching relationship between the technology and the complex hydrogeological environment condition. The globally optimal integrated technology path screening with high self-adaptation and cross-scenario robustness in the multi-dimensional conflict solution space is realized, and a scientific and operable tool for fine management is provided.