41 results about "Technology system" patented technology

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 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 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 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.

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.

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 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 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.

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.

E 2 OS Energy Evidence Operating System for measurement-based recording, modeling and orchestration of energy flows in building technology systems, characterized in that heat, cooling and other energy flows of all energy generators, storage, distributors and consumers are mapped in a common digital system model and autonomously monitored, controlled and optimized on the basis of this model.

The invention provides an industrial environment control system-oriented time sequence energy-saving control large model construction method, which is applied to the technical field of data processing. According to the method, a full-link technical system is built around the construction of an industrial environmental control time sequence energy-saving control large model: firstly, multi-source time sequence data is collected through an MQTT / Modbus protocol and preprocessed to generate a target data set, then scarce data is expanded through a TimeGAN, and multi-dimensional features are extracted to construct a system digital portrait; based on the improved PatchTST architecture and in combination with a process knowledge graph, working condition accurate prediction is achieved, and a device regulation and control strategy is output by means of a fuzzy optimization and reinforcement learning dual-drive model; an edge execution layer is built to complete instruction landing and closed-loop feedback, and high-concurrency and low-delay operation of an industrial site is guaranteed through model compression and containerization deployment; and finally, fusing dynamic ROI adjustment, coordinate drift correction and an optical flow method to optimize model decision precision, and outputting an energy-saving control scheme adaptive to the field and an equipment state evaluation result.

The present invention relates to a device for virtually simulating a quantum communication circuit.

The invention relates to the technical field of industrial internet technology system services, in particular to an FPGA aging monitoring method and system based on a partition weighted RO array, and the method comprises the steps: carrying out CLERO deployment and INTRO deployment according to the number of partition RO deployment groups, obtaining an initial partition RO deployment array, carrying out the deployment parameter adjustment of the initial partition RO deployment array, obtaining a target partition RO deployment array, and carrying out the aging monitoring of the target partition RO deployment array. Performing segmented temperature zone frequency fitting according to the segmented temperature zones by using a reference frequency to obtain a segmented quadratic fitting model, obtaining a high-weight RO reference frequency difference, performing batch circulation activation on a target partition RO deployment array, and identifying a temperature difference between an initial RO junction temperature and a batch RO junction temperature; and adjusting the duty ratio according to the temperature difference of the batch RO junction temperatures, performing effective screening on the initial RO junction temperature to obtain a target RO junction temperature, and performing confidence coefficient test and partition aging quantization calculation according to the RO actual measurement frequency and the RO reference frequency to obtain an FPGA partition aging quantization value. According to the invention, the aging monitoring precision of the current FPGA can be improved.

The invention relates to a computer-implemented method for setting at least one parameter relating to a heating device, having the steps of a. setting at least one first value for the at least one parameter of the heating device (S1); b. setting at least one second value for the at least one parameter of the heating device (S2), the at least one second value being determined by varying the at least one first value (S3); c. detecting measurement data for the respective settings of the at least two settings (S4); each piece of measurement data having at least one measurement value and at least one target value; d. determining an optimum value from the plurality of values using an optimization approach on the basis of the measurement data (S5); and e. providing the optimum value for the at least one parameter (S6). The invention additionally relates to a technical system and to a corresponding computer program product.

A method includes: (a) receiving, by a computer, reliability data from a plurality of remote reporting devices representing reliability of a plurality of subsystems of a technological system, each subsystem having at least one pre-set SLO; (b) for each of a plurality of time periods, determining a respective SLI for each SLO; (c) for each period, determining a composite SLI of the system by averaging the SLIs for that period; (d) determining a long-term composite SLI of the system by combining the composite SLIs for all of the periods; (e) determining an impact of each subsystem on the long-term composite SLI with reference to the SLIs of that subsystem over each of the periods in comparison to the composite SLIs of the system; (f) determining which subsystem has a largest impact on the long-term composite SLI; and (g) taking remedial action on the subsystem determined to have the largest impact.

The invention relates to an information technology system (1) for providing a personal assistant based on a base model (FM), configured to process interaction information generated during an interaction between a user (2) and the assistant using the base model (FM) in order to generate inductively derived thoughts (IG) from the base model (FM), describing insights gained from the interaction formulated in natural language, storing the inductively derived thoughts (IG) in a long-term memory (3) for the base model (FM), and considering the contents of the long-term memory (3) for future interactions with the user (2). The information technology system according to the invention is characterized by the ability of the base model (FM) itself to reference specific content to be written to or read from the long-term memory (3).

The invention provides a community photovoltaic production evaluation, installation and elimination full-process coupling processing method and system, and the method comprises the steps: carrying out the comprehensive analysis and evaluation of the building attributes and sunlight resources of a community building, and determining the evaluation data of the community building; performing digital customization of the photovoltaic equipment based on the attribute of the target installation area, wherein the digital customization at least comprises setting of air circulation of an inner cavity of the photovoltaic equipment; constructing a digital model corresponding to the photovoltaic equipment, and displaying the detection of the photovoltaic equipment in real time based on the digital model; and according to an intelligent consumption strategy, power consumption intelligent switching of consumption load and commercial power is realized. According to the technical scheme, the project building area for installing the solar photovoltaic system is developed in sequence, and a large number of practical experience and technical solutions are accumulated. An urban community and solar photovoltaic power generation are taken as research objects, and an urban community photovoltaic system full-flow coupling technology system is constructed from four aspects of production evaluation, installation and elimination, so that the efficiency of the community photovoltaic system is improved.

The invention provides a resource recommendation method and device based on a knowledge-capability double-layer fusion knowledge graph, and relates to the technical field of artificial intelligence and intelligent education. The method comprises the steps of calling a knowledge-ability double-layer fusion knowledge graph according to learning state data of a target student, and constructing a student ability portrait of the target student; the framework of the knowledge graph comprises a knowledge layer and a capability layer; when the knowledge graph is constructed, constraint rules are applied to entities and entity relationships in a knowledge layer and a capability layer through a predefined structured Prompt template; and determining a knowledge gap set of the target student by utilizing a causal reasoning relationship between the knowledge layer and the ability layer based on the ability portrait of the student, then retrieving a resource recommendation set matched with the knowledge gap set from the knowledge graph, and recommending resources to the target student. According to the invention, the problem that the current education technology system is still difficult to realize accurate capability tracing and personalized resource recommendation in the aspect of realizing an OBE teaching target can be solved.

The present invention relates to a method for statically reserving and allocating information in a memory area (1) of a memory (2) external to a processor of an information technology system, characterized in that the information technology system, in a single analysis process: checks which output data (6) of a function (4) are simultaneously processed by the processor during its iterative execution (5); maps the output data (6) to a fixed memory area (1); and in standard operation, during the iterative execution (5), the information technology system: writes first output data (6.1) to the fixed memory area (1.1) associated with it and leaves it in the fixed memory area (1.1) at least until the processor has completed processing of the function (4.1) requiring the first output data (6.1); writes second output data (6.2) to the same fixed memory area (1.1) to replace the first output data (6.1) before the processor has processed a function (4.2) requiring the second output data (6.2).

The invention discloses a cost accounting processing method and device, computer equipment and a storage medium. Belongs to the technical field of financial accounting. Firstly, the system collects and processes original image data, and accurately extracts key data such as restaurant names, dish information, prices and dates through advanced image and text processing technologies. Secondly, based on an entity processing technology, the system can convert an unstructured text into a structured field mapping relation, and then fuzzy or missing information is completed through context filling. And then, the system flexibly selects and applies compliance rules for different catering scenes by using a dynamic rule base, and automatically judges whether the dining data meets a preset standard or not. When an abnormal field is found, the system can dynamically adjust rule parameters by using a machine learning technology based on a historical data mode. Finally, a secondary matching mechanism ensures that all the dining data are verified again under the adjusted rule framework, and the cost accounting accuracy and the risk control capability are remarkably improved.

The invention discloses a weather-proof steel tower angle steel welding method, and belongs to the technical field of steel structure welding. According to the method, through a collaborative technology system of accurate material matching, joint structure optimization and post-welding full-process protection, the problems of weak weld joint corrosion resistance, joint stress concentration and insufficient mechanical property in weathering steel angle steel welding are solved. The method is characterized in that a special welding material containing weather-resistant elements of Cu, P and Cr is selected to be matched with a Q355NH / Q460NH base material, a lap welding and fillet welding foundation structure and a double-groove welding and gasket reinforcing structure are adopted, and the processes of post-welding cleaning, multi-dimensional detection and weather-resistant coating repair coating are combined. The method realizes equal strength and weather resistance of weld joints and base metal, remarkably improves the service life, safety and stability of the outdoor steel tower, and is suitable for weather-resistant steel tower construction in the fields of communication, electric power and the like.

The embodiment of the invention provides a technical path mining method and system based on efficacy importance evaluation, and belongs to the technical field of electric digital data processing. The method comprises the following steps: acquiring a patent text and corresponding novel parts and advantage parts; determining technical system words of the novel part and efficacy words of the dominant part; respectively carrying out clustering operation on the technical system words and the efficacy words to obtain technical system word classes and efficacy word classes; determining the category distribution of the dominant part on the efficacy word category; counting the occurrence frequency of each efficacy word in the patent text in the efficacy word class; determining comprehensive weight representation of the patent text according to the occurrence frequency and the category distribution; determining a current scene to be analyzed; determining a patent text set according to the scene; determining a dynamic scene weight coefficient of the patent text set according to the comprehensive weight representation; and determining an incidence matrix of the technical system and the efficacy index in the patent text.