61 results about "Technology system" patented technology

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 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.

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 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%.

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 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 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 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.

The invention discloses a high-speed compliance control and intelligent execution cooperation method based on public patrol, and the method is realized through a high-speed compliance control and intelligent execution cooperation system based on public patrol. The collaboration system comprises a sensing and data acquisition module, a data processing and analysis module, a data storage and management module, a control execution module, a decision making module, an intelligent interaction module and a system security management module. The collaboration method comprises the following steps: step 1, constructing a high-speed compliance control technology system; 2, constructing an intelligent execution collaborative architecture; 3, constructing a high-speed compliant control and intelligent execution cooperation mechanism; according to the invention, a robot, automatic control, an artificial intelligence algorithm and Internet of Things communication are combined to construct a high-speed compliance control and intelligent execution cooperation method, an efficient, accurate and flexible intelligent control and execution solution is provided, and the efficiency, quality and safety of public patrol work are significantly improved.

An apparatus, including a central processing computer which is specially programmed to process recruitment, job searching, project searching, or scheduling, information; and a distributed ledger and blockchain technology system. The central processing computer provides or transmits an electronic forum to a user communication device, wherein the central processing computer receives, from a user communication device, information for engaging in a recruitment, job searching, project searching, or scheduling, activity, in or via the electronic forum, and the central processing computer provides a videoconference call between the individual and an employer or hiring entity or between the individual and a job applicant. Upon a conclusion of the electronic forum, the central processing computer generates an electronic forum report containing information regarding an activity or activities of the individual in or during the electronic forum. The electronic forum report is stored in the distributed ledger and blockchain technology system.

The invention relates to an advantage evaluation method for a fabricated structure technical system in the field of low-rise houses, and belongs to the technical field of fabricated buildings. The technical problem to be solved is that for selection of an existing fabricated structure technical system in the low-rise house field, a scientific and quantitative mathematical evaluation method is lacked, and accurate matching of the fabricated structure technical system and different application scene requirements cannot be achieved. According to the technical scheme, a target application scene is determined, demand weight coefficients corresponding to cost, construction period and performance are set, benchmarking products are selected to obtain related basic data, fractal dimension advantage indexes and industrialization indexes of a to-be-evaluated system are calculated, comprehensive competitive power indexes are calculated in combination with the weight coefficients, and the system is evaluated. And completing selection of the dominant technology system according to an index result.

The present invention relates to a device for interactively carrying out sampling and / or disinfection of a system, more particularly a water technology system, wherein the device has a user interface and a controlling unit which is programmed to identify the system, to load, from a database, historical data relating to at least one operating process of the system and to automatically create, on the basis of the historical data, a execution sequence for future sampling and / or disinfection of the system, wherein the execution sequence contains at least one specific task for a user, which task is communicated to the user at at least one predefined time, wherein the user is asked, by means of the user interface, to enter a feedback regarding the at least one specific task and / or the completion thereof by the user, following which the controlling unit independently adjusts and / or updates the execution sequence for sampling and / or disinfection on the basis of the feedback of the user.

The invention provides a business process display method and device, electronic equipment and a storage medium. The business process display method comprises the following steps: acquiring business information of a target business; according to the service information, determining at least one target data table related to the target service from a plurality of data tables included in the information technology system; according to the service information, obtaining a service execution process related to the target service from an operation technology system; determining a first process node in an execution state from the service execution process according to the execution progress of the target service; and displaying the at least one target data table and the first process nodes in a display interface, and displaying association relationships between the target data table and the first process nodes and between the first process nodes. By applying the business process display method provided by the invention, the fusion display effect between the information technology system and the operation technology system can be improved, and the monitoring requirement of an enterprise on the business process can be met.

The present invention proposes a multi-objective data analysis and strategy optimization system and method for patent layout, wherein the system includes: an information input module, a unit technology system construction module, a patent technology heat map generation module, a patent layout optimization modeling module, a patent layout strategy generation module and an information output module; the method adopts the above system, including: obtaining basic information data; establishing the unit's patent layout technology system; generating a patent technology heat map; establishing the unit's patent layout multi-objective optimization model based on the unit's patent layout technology system and the patent technology heat map; solving the optimal strategy for generating the unit's patent layout; realizing multi-objective data analysis and strategy optimization for patent layout; the present invention provides implementation tools and technical basis for intellectual property management, patent layout, and project management.

The present application relates to the technical field of soft rock area coal exploration hole construction, and discloses a soft rock area coal exploration hole grading wall protection and leakage stopping method based on real-time determination; the present application constructs a multi-source monitoring network to cooperate with an edge computing module to form a real-time data acquisition and processing system, designs a double determination model composed of a grading threshold dynamic correction model driven by a stratum parameter inversion algorithm and a composite risk identification model with a hybrid architecture of a rule engine cooperating with a lightweight decision tree algorithm, forms a complete technical system of data acquisition, dynamic determination, man-machine collaborative disposal and full-process data closed-loop evolution, realizes accurate determination of the composite risk of the soft rock area coal exploration hole, reduces the in-hole accident rate from more than 30% to less than 5%, improves the hole forming efficiency by 15%-20%, reduces the drilling fluid loss by 25%, realizes dynamic risk determination, customized disposal scheme and closed-loop technology system, and the industrial-grade hardware is adapted to the complex environment of high temperature, high vibration and strong interference underground, has strong environmental adaptability and continuous optimization capacity.

A system and a method to determine a technology used by a user is disclosed. The system receives user data comprising job titles, skills, and job summaries. Further, technology categorization data is generated based on the user data. The technology categorization data comprises technology category and technology subcategory mapped to a user department and a user division. The system further extracts a keyword and a set of buffer keywords from the user data. Subsequently, the system determines a context of the user data based on the set of buffer keywords of the keyword. The technology used by the user may be determined upon comparing the keyword and the context with a predefined pattern sheet. The system validates the technology with the technology categorization data.

The invention discloses a literature scene experience type teaching method and system, and relates to the technical field of education, and the specific steps of the teaching method are as follows: S100, multi-source data collection: collecting multi-mode emotion signals of expressions, voices and body movements of students in literature learning in real time by means of an intelligent recognition device; through a multi-source data acquisition technology, the system can capture multi-mode emotion signals of students in literature learning in real time, and combines personalized data of registration information, interest survey, learning test and historical records to construct a comprehensive and accurate student personalized learning portrait, so that instant perception of the emotion states of the students is realized, and the learning experience of the students is improved. And through deep fusion of the comprehensive emotional state and the personalized learning portrait, a teaching scene adaptive to the emotional and cognitive characteristics of each student is customized for the student, and the personalized teaching scene construction mode greatly improves the learning participation degree and interest of the student.

Embodiments of the present disclosure relate to a visualized operator interface for a technical system. A method of controlling a visualized operator interface (200) is proposed, the visualized operator interface (200) comprising a plurality of predefined areas (210), the plurality of predefined areas (210) comprising one or more monitoring areas configured to display a visualized element representing a current state of a technical system (290). According to the method, it is determined (110) that one of the monitoring areas is to be prioritized; and an incomplete visibility reduction (140) is initiated in at least one other area of the visualized operator interface, wherein the prioritized monitoring area is not affected by the visibility reduction.

The invention discloses an ecological technology screening and evaluating method for physique synergy of urban slow-flow medium and small river channels, and the method comprises the following steps: 1, screening out and eliminating all technologies exceeding a technology application boundary condition according to a preset precondition; 2, evaluating and scoring the remaining technologies which are not screened out from eight third-level indexes, calculating scores corresponding to second-level indexes, and then calculating numerical values of comprehensive evaluation indexes according to the scores of the second-level indexes and the weights of the scores, namely final evaluation scores of the technologies; and step 3, dividing all technologies into four grades according to different scores, and finally preferentially adopting a high-grade technology. According to the method, different technologies are comprehensively evaluated from multiple dimensions, so that the most suitable technology under the current condition is screened out, the efficiency can be improved, the cost can be saved, and an effective screening technology system standard is established for the industry.

The invention belongs to the technical field of mobile terminal security management and control, and particularly relates to a teenager multi-dimensional behavior acquisition and mobile terminal time-sharing unlocking system which is composed of a teenager mobile terminal, a wearable / IoT device, a parent mobile terminal and a cloud platform, and a bidirectional encrypted data stream closed loop is formed. The invention provides a set of whole-process solution of'behavior acquisition-anti-cheating verification-intelligent decision-time-sharing unlocking 'by fusing IoT (Internet of Things) multi-device coordination, AI (Artificial Intelligence) behavior recognition and reinforcement learning adaptive control technology systems aiming at a teenager mobile terminal use scene. The method is suitable for guide and control scenes used by parents for teenager mobile terminals, further covers a comprehensive quality education scene of learning-exercise-housework collaborative cultivation of teenagers, helps to realize an education goal of'control-guidance ', and has a good market application prospect.

The invention relates to the technical field of structure treatment, and discloses a structure inner and outer wall cleaning, spraying and corrosion prevention integrated technical system which comprises a main body mechanism, the main body mechanism comprises a base, the top of the base is fixedly connected with a water storage tank, and the top of the base is fixedly connected with a first electric stretching rod; the top of the first electric stretching rod is fixedly connected with a top plate, the top of the top plate is fixedly connected with a storage box, the left side of the top plate is fixedly connected with a first fixing plate, the top of the first fixing plate is fixedly connected with a second fixing plate, and the bottom of the base is fixedly connected with a moving mechanism. The top of the top plate is fixedly connected with a drying mechanism. According to the cleaning, spraying and corrosion prevention integrated technical system for the inner wall and the outer wall of the building, the obstacle avoiding unit is used for moving, recognizing obstacles and crossing the obstacles which can be crossed, the cleaning unit can clean the obstacles while crossing the obstacles, and the cleaning unit can bypass the obstacles which cannot be crossed to continue working.