35 results about "Structured systems" patented technology

The invention discloses a method for generating tiles by mass vector data based on a spark big data technology. The method comprises the following steps: A, determining a data set or a structured system formed by initial vector data elements; b, reading and merging the original vector data to form a unified RDD model partition; c, solving a minimum enclosing rectangle for the space elements in the multiple RDD model partitions; and D, on the basis of a big data technology, calculating which tiles of the minimum circumscribed matrix corresponding to the space elements intersect with the top layer. Vector graph cutting is realized by adopting a spark big data technology, the characteristic of the spark based on memory calculation is utilized, the memory calculation efficiency is extremely high, multiple servers can be used at the same time based on the spark, deployment is carried out in a cluster mode, the graph cutting efficiency is in direct proportion to the number of server cores and the memory, and expansion is easy so as to adapt to a larger-scale data size. The problem of image cutting efficiency in a big data scene is solved.

The invention provides a regional wind field multi-source heterogeneous work order data fast structuring system fused with a large language model, which comprises a plurality of modules, and is characterized in that a data input module receives various work order images; the OCR layout recognition module comprehensively recognizes the data, extracts key information, determines a spatial position and outputs text fragments with coordinates and layout anchor point information, and the rule field extraction module recognizes format category fields from the text fragments and calculates rule matching confidence; the semantic field recognition module recognizes descriptive fields from unstructured content and outputs related confidence information, the fusion decision module calculates final confidence of field candidates according to a predetermined function and judges output or complementation according to a threshold value, and the data consistency verification module is connected with an asset database to verify key information. The data complementation module generates complementation candidates and confidence coefficients, the man-machine collaborative closed-loop module pushes suggestions and receives feedback, and the result output module outputs standardized data. According to the method, the multi-source heterogeneous work order data can be effectively processed.

The invention discloses a particle accelerator system loop parameter on-line intelligent regulation and control method and device based on a large language model, and the method comprises the steps: obtaining the cavity operation data of a radio frequency cavity in real time, calculating the system state parameter of the current cavity, judging whether the system state parameter meets an adjustment and optimization termination condition or not, and continuing if the adjustment and optimization termination condition is not met; converting the system state parameter and the PI parameter tuning target into a structured system state description described by a natural language, and generating a task execution cue word; analyzing a system state by using a large language model based on the task execution cue word, and reasoning a PI parameter value; analyzing the output of the large language model, accurately extracting PI parameter values, and performing rationality check on the accurately extracted PI parameter values; and performing application execution on the extracted PI parameter value, and repeating the tuning process until tuning is completed. Therefore, an effective solution is provided for automatic PI parameter tuning, and the time cost and professional skill requirements of manual debugging are remarkably reduced while the quality of tuning is ensured.

The invention discloses a mine full-service chain flow collaborative management and control system and method, and relates to the field of intelligent mine comprehensive management and control. Based on a platform architecture of a unified network, a database and a geographic information graph, a coal chain flow, an electric chain flow, a wind chain flow, a water chain flow, an object chain flow and a green circular economy chain flow are constructed according to a digraph sequence, a cooperative relationship among the chain flows is established, a full-service chain flow cooperative management and control system is formed, the system automatically decomposes mine safety production tasks, and the safety production efficiency is improved. The method comprises the following steps: generating a process work order of which each chain flow can be automatically executed and fed back, issuing the work order to each single chain flow after re-checking and optimizing, performing adaptive cooperative control execution and dynamic adjustment by the work order, forming closed-loop control of mine full-service chain flow, and realizing structuralization and systematization of mine safety production tasks of a complex and huge system. According to the invention, the information sharing, data and event driving and intelligent management and control levels of a complex and huge mine system are improved, and intelligentization of a single system to intelligent systematization and green low carbon of a full-service process are realized.

The application discloses a compliance intelligent identification method based on express package signing position photos, and relates to the technical field of intelligent express logistics, comprising the following steps: receiving the express package signing position photos to be audited, calculating the boundary box and confidence score of the express package signing position photos to be audited by using a lightweight target detection model based on a YOLO architecture, setting a confidence threshold, and detecting whether there is an express package in the express package signing position photos to be audited; based on the judgment of whether the express package signing position photos to be audited are compliant, designing a structured system prompt word, training a Qwen2.5-VL open source multi-modal large model, and generating a compliance judgment result of the express package placement position; the system generates a final audit conclusion, if the audit conclusion is compliant, the audit passing record is automatically completed, if the audit conclusion is not compliant, the non-compliant reason is automatically fed back to the business front end, the express messenger is prompted to correctly shoot the express package position photo, and the compliance intelligent identification of the express package signing position photo is realized. The application realizes resource optimization.

Techniques can include: receiving writes from applications executing on hosts; recording, the writes in entries in a log; and flushing, from the log, the entries denoting the write operations, including: segregating content written by the write operations into streams, wherein each of the streams corresponds to one of a plurality of classes or types of data associated with one of a plurality of I / O profiles characterizing said each stream and said one class or type of data; and for each of the streams corresponding to one class or type of data associated with one I / O profile, persistently storing a corresponding portion of the content in one of a plurality of sub log structured systems (LSSs) used for only storing data of the one class or type that corresponds to said each stream.

The invention discloses an iron and steel enterprise carbon data structured system establishment and treatment method, and solves the problem that system parameter data is invalid or problem data cannot be traced to the source due to the fact that material and energy data of an existing iron and steel enterprise often have offline interruption, static loss of data and numerical value distortion. According to the steel enterprise carbon data structured system establishment and treatment method, starting from the origin of a steel enterprise carbon system, technological process characteristics, material and energy characteristics, carbon system structure characteristics, sensing point location and network characteristics and the like related to carbon data are systematically combed, and steel enterprise carbon data series attributes are analyzed; establishing a correlation model of a physical system dimension, a function application dimension, a time granularity dimension, a process emission source dimension, a software and hardware system dimension and a background database dimension based on carbon data attributes; establishing a steel enterprise carbon data three-level and multi-dimensional structured system and a treatment method; a basic carbon data base can be built for dual-carbon work of iron and steel enterprises, and a carbon system structure and planning management are optimized.

An end-of-line test method and system are disclosed. The test system includes an upper-level computer, a test device, and a test requirement structured system. The upper-level computer in the test system obtains an initial test formula from the test requirement structured system in response to a test formula download instruction, where the test requirement structured system is configured to generate the initial test formula based on a test item requirement, and the initial test formula includes related information of the test item requirement. Then, the upper-level computer converts the initial test formula into a target test formula in an extensible markup language format. Finally, the upper-level computer controls, based on the target test formula, the test device to test a product to obtain a test result.

This invention relates to a method, apparatus, and electronic device for extracting information from a building quality inspection report. The method includes: constructing a structured system for the information to be extracted, the structured system comprising macroscopic building information as entity identifiers and fine-grained technical parameter information belonging to each building entity; parsing and processing the input building quality inspection report to obtain a set of multiple information-carrying processing units; extracting macroscopic building information representing all building objects to be analyzed within the report from the processing unit set based on a preset first retrieval strategy; generating an extraction context corresponding to each building object based on the extracted macroscopic building information; and, based on the extraction context and according to a second retrieval strategy, selectively retrieving and extracting fine-grained technical parameter information belonging to the corresponding building object from the processing unit set. This invention effectively solves the information confusion problem in multi-entity nested reports and achieves accurate extraction of structured data.

A governance-structured system embodied in non-transitory machine memory determines whether candidate information may exist as internal system state prior to execution or control. The system defines categories of knowledge entities that establish admissible state spaces constraining representational boundaries and state dimensions. Candidate information from sensors, external systems, or computational models is evaluated solely for representability within such state spaces, and non-representable information is treated as non-existent. System operation semantics are derived exclusively from governance-qualified knowledge-entity states. Control or automated actions, when present, consume such states as downstream inputs without defining or altering state existence. The architecture provides a stable semantic foundation for intelligent and distributed systems by governing state existence independently of execution behavior.

The invention belongs to the technical field of intelligent interaction equipment, and provides an AI interaction system capable of flexibly adjusting system prompts and an interaction method thereof.The system is composed of AI equipment, a mode switching module, an input distribution and preprocessing module, an instruction intention analysis module, a System Prompt dynamic generation and management module and a model interaction module. After a user triggers an instruction mode through a key, voice input is converted into a text through distribution preprocessing, a modification strategy is generated through intention analysis, the structured System Prompt is dynamically adjusted and applied to multiple rounds of dialogues, and the output tendency of a large language model is guided in real time. According to the method, deep customization of the AI behavior by the user can be realized, the instruction input convenience is improved, the instruction understanding and content guiding capability is enhanced by combining modular processing, while the operation intuition is guaranteed, the AI is endowed with the personalized interaction capability of autonomously adapting to the user intention, and the flexibility and accuracy of dialogue experience are remarkably improved.

The invention discloses a laser cutting equipment after-sales intelligent training method and system based on a knowledge graph, and the method comprises the steps: constructing a laser cutting equipment after-sales knowledge graph fusing quantifiable parameters, and converting fragmented maintenance knowledge into a structured system; generating a systematic training content library based on the knowledge graph; initial training content is distributed according to post attributes of students, and a digital user portrait is constructed by collecting interaction data; dynamically matching the user portrait with a training content library to calculate an adaptation degree; and screening personalized training content for the trainee according to the adaptation degree, and continuously optimizing a user portrait and matching logic based on feedback data. The technical problems that in the prior art, training knowledge is fragmented, trainee ability evaluation is fuzzy, and training content lacks personalized adaptation are solved.

A method, computer program product, and computing system for receiving a metadata page for storage within a log-structured metadata store. An entry may be generated within a translation table page of a translation table within the log-structured metadata store, wherein each entry of a plurality of entries within the translation table page is associated with a separate metadata page. One or more metadata page deltas for the metadata page may be recorded in the log-structured metadata store. The one or more metadata page deltas for the metadata page may be flushed to a persistent memory storage. In response to flushing the one or more metadata page deltas for the metadata page, the entry within the translation table page that is associated with the metadata page may be updated without accessing any other entry within the translation table page associated with other metadata pages.

The present application relates to a kind of slurry interface microplastic recovery system and control method, fully consider the mixed scene of microplastic particles in slurry, design the device structure under the link of collection, stirring, slurry filtration, microplastic filtration, achieve the full design and efficient application of each link, and then the application of structure under global contact, microplastic particles in slurry are efficiently extracted;While the present application further designs the control method based on structured system, emphatically analyzes and designs slurry filtration link and microplastic particle extraction link, by repeatedly filtering slurry, fully separates the dirt in it and the liquid containing microplastic particles, while for each level microplastic filtration device, based on the structure design, the microplastic particle separation method under the joint action of plastic desorption liquid and protective gas is further improved the extraction efficiency of microplastic particles in slurry;The present application scheme is efficiently matched between structure and method, in practical application, microplastic particles in slurry are efficiently extracted.

The disclosed computer program product and method of use provides a system for managing, controlling, and displaying multi-modal translations of digital content through a structured system which includes both moderator and user interfaces. This system and method permits a moderator to isolate portions of digital content, and to upload various translations thereof. A plug-in module provides a translation display window that allows a user to select from and control visual and / or auditory representations of the translation from a variety of languages as well as request additional translations be provided.

The embodiment of the invention provides a commodity selling point knowledge graph construction method and electronic equipment, and relates to the technical field of the Internet, and the method comprises the steps: obtaining multi-dimensional commodity information of a target commodity, and extracting a selling point keyword used for representing a commodity selling point of the target commodity from the multi-dimensional commodity information; determining a selling point intention of a commodity selling point according to the selling point keyword; generating an intention system of the target commodity according to the selling point keyword and the selling point intention; the intention system comprises an association relationship between the selling point keyword and the selling point intention; constructing a selling point knowledge graph according to the intention system; the selling point knowledge graph is used for representing a semantic relationship among the target commodity, the selling point keyword and the selling point intention. According to the application, the commodity selling points can be converted into an analyzable, associable and manageable structured system from scattered information, the credibility of the commodity selling points is ensured, and the selling point knowledge graph convenient for automatic management and updating is formed.

The system metadata exploration service is directly embedded in a distributed data storage system to enable presentation of structured system metadata using a relational data model and dynamic mapping of structured system metadata to relational tables, all without incurring an additional snapshot and copy overhead, thus avoiding utilization of additional nodes and reducing the resources requirements. The system metadata analytics enables the use of the SQL interface for exploring system metadata, thus enhancing system adaptability and flexibility.

The invention provides a building speed-sliding integrated auxiliary escape evacuation system which comprises a supporting and fixing assembly which is arranged in an elevator shaft and is arranged in a through-height mode in the height direction of a building, and the supporting and fixing assembly is connected with the side face of a stair flight; the guardrails are connected to the supporting and fixing assemblies, and the guardrails are arranged in an elevator shaft and are arranged in the ascending and descending directions of the stair flights; the slideways are close to the guardrails and are configured to be continuously arranged in the up-down direction of the stair flight; the handrails are connected to the guardrails and located above the slideways, and the handrails are configured to be continuously arranged in the ascending and descending directions of the stair flight. The system has super-large evacuation capacity, can be used on all floors at the same time, and is low in cost; the system is a purely structured system and operates only by depending on the self-weight of evacuees in combination with the sliding principle generated by the inclination angle of the slide, so that the reliability and the stability of the function are ensured.

The invention belongs to the technical field of digital reading services, and discloses an all-media digital reading service system, which unifies each modal format and adds knowledge anchor points through an acquisition and feature extraction module, and constructs a double-layer knowledge graph of basic static knowledge and difference real-time knowledge through a cleaning and semantic fusion module. A structured system is formed according to knowledge levels of basic concepts, principle derivation, application cases and expansion and extension, and semantic coding and knowledge point entity association is completed in combination with a BERT model; when a user inquires knowledge points, the system can automatically match multi-mode resources such as text analysis, experiment demonstration videos and formula derivation audios, manual switching retrieval is not needed, the stepped knowledge acquisition requirement is perfectly met, and the problems that cross-media knowledge is loose in association and low in acquisition efficiency are solved; the modeling and behavior analysis module collects user full-scene data, constructs three layers of user portraits including basic attributes, dynamic demands and cross-modal preferences, and can also mine behavior implicit demands.

The invention relates to the technical field of economic data analysis and decision support, and discloses a hierarchical and hierarchical economic development influence factor decomposition method and system based on an LASSO model and a panel fixing effect model.The method comprises the steps that a multi-level panel data structure comprising a region layer, an industry layer and an enterprise layer is established, and economic index data of all levels are collected; performing standardized preprocessing on each level of data, wherein the standardized preprocessing comprises missing value filling, abnormal value processing, dimension unification and fixed effect elimination; based on the preprocessed data, adopting an LASSO regression model to determine regularization parameters, and screening key explanatory variables in a layered manner; inputting the screened variables into a panel fixed effect regression model, and quantifying marginal effect coefficients of the variables for economic development target indexes; calculating the contribution rate weight of the key variable at each hierarchy, and constructing a cross-hierarchy influence path difference graph. According to the method, structured and systematic identification of a multi-dimensional variable influence mechanism in an economic system is realized.

The invention relates to a power generation control method and device of a network construction type power system and computer equipment. The method comprises the following steps: acquiring a frequency deviation value of a current power grid region based on a plurality of types of generator sets after the last round of power regulation; according to the frequency deviation value of the current power grid area and the frequency deviation value between the power grid areas with the interconnection relation, determining the power deviation value of the interconnection area; determining a control deviation value of the current power grid area according to the frequency deviation value and the power deviation value; the control deviation value is input into the updated control strategy network model, a current power adjusting instruction is output through the control strategy network model, and the current power adjusting instruction is used for acting on multiple types of generator sets for power generation; wherein the control strategy network model updates the time gradient of the control strategy network model through a preset neural network. Therefore, the frequency stability and the regional power coordination control capability of the network construction type system can be improved.

In order to overcome the problem that the code and development logic cannot be reused when a video structured system is designed in the prior art, development time and manpower are greatly wasted, the application provides a video structured system design engine, a video structured system, a method, a computer device and a medium. The application discloses a video structured system design engine, which comprises an action processing component library, a modeling module and an execution module. The business process required in the video structured design is analyzed, and a plurality of action processing units with minimum action processing functions are designed. The action processing units are integrated in the action processing component library, and are selected and combined by a designer according to business requirements. The video structured system design engine disclosed by the application greatly simplifies the upper layer code of the video structured system, reduces the development time of the video structured application, reduces the development difficulty, improves the development efficiency and the debugging efficiency of the video structured application.

The application discloses an intelligent planning and evaluation system for personalized learning paths, and relates to the technical field of digital data processing.The system comprises the following modules: a user portrait module that constructs and dynamically optimizes a user model through multidimensional data collection and algorithm analysis; a resource library module that constructs a structured system according to disciplines, levels and types and correlates indexes; a path planning engine module that generates personalized learning paths by fusing algorithms; a learning process tracking module that collects and analyzes learning behavior data in real time; a dynamic evaluation module that establishes a multi-dimensional index system to quantify learning effects; a feedback adjustment module that generates targeted optimization suggestions; and a visual interactive module that graphically displays information and supports multi-terminal adaptation and path customization.The application realizes closed-loop optimization of the learning process by combining precise user portraits and personalized path planning with dynamic evaluation and feedback adjustment, and the resource adaptation is accurate, the learning efficiency and effects are significantly improved, and the personalized learning needs of different learners are effectively met.

The disclosed computer program product and method of use provides a system for managing, controlling, and displaying multi-modal translations of digital content through a structured system which includes both moderator and user interfaces. This system and method permits a moderator to isolate portions of digital content, and to upload various translations thereof. A plug-in module provides a translation display window that allows a user to select from and control visual and / or auditory representations of the translation from a variety of languages as well as request additional translations be provided.

The application discloses a particle accelerator system loop parameter online intelligent regulation and control method and device based on a large language model, which comprises the following steps: acquiring cavity operation data of a radio frequency cavity in real time, calculating system state parameters of the current cavity, and judging whether the termination condition of optimization is met; if not, the optimization is continued; the system state parameters and the PI parameter optimization target are converted into a structured system state description described in natural language, and a task execution prompt word is generated; the system state is analyzed based on the task execution prompt word, and the PI parameter value is inferred by using the large language model; the output of the large language model is analyzed, the PI parameter value is accurately extracted, and the rationality of the accurately extracted PI parameter value is checked; the extracted PI parameter value is applied and executed, and the above optimization process is repeated until the optimization is completed. Therefore, the application provides an effective solution for automatic PI parameter optimization, which can guarantee the optimization quality, significantly reduce the time cost and professional skill requirement of manual debugging, and has high practicability.

The application discloses a complex network strong structure controllability analysis method and device with same subsystems, and the method comprises the following steps: firstly, establishing a structured system model of the complex network system with same subsystems to determine whether the related system is strong structure controllable, if not, the complex network system is not strong structure controllable; if yes, determining whether the subsystem is a single-input single-output subsystem, if not a single-input single-output subsystem, determining whether the subsystem is strong structure input state observable, if yes, the complex network system is strong structure controllable; if not, the strong structure controllability of the complex network system cannot be determined. If it is a single-input single-output subsystem, determining whether the subsystem is strong structure controllable and observable, if yes, the complex network system is strong structure controllable; if not, the complex network system is not strong structure controllable.

To efficiently perform engineering related to a functional block of an automation system.SOLUTION: A management server 10 receives an information model in which information related to a system is structured, collects device information related to each control device 30 from each control device 30 that executes control of the system, and generates an import file capable of creating a functional block corresponding to each control device 30 on the basis of the received information model and the collected device information.SELECTED DRAWING: Figure 1

The application provides a clock control topology graph automatic generation method and device of an SoC architecture, effectively solving the problem that existing system configuration tables of an SoC cannot be converted into a structured system architecture topology graph to meet the requirements of efficient and reliable automatic design. A system configuration table of a clock control system of an SoC architecture is obtained, and the system configuration table is processed in multiple dimensions according to the combination of peripheral main bodies and clock types to obtain a target attribute set with a hierarchical relationship. The target attribute set is subjected to dynamic resource conflict merging and bit width calculation, respectively, to obtain a corresponding multi-path selector and the minimum control signal bit width thereof. According to the feature fingerprints in the target attribute set, two-dimensional optimization matching is performed in a preset component template library to obtain an optimal basic port architecture template. The minimum control signal bit width, the optimal basic port architecture template, and multiple graph element instantiation parameters are instantiated and bound to obtain a target topology graph file.

The present disclosure provides a system for optimizing network performance based on correlated multi-source experiential feedback. The system includes a data pipeline comprising a telemetry ingestion module configured to collect structured system data and a natural language parser configured to extract sentiment-weighted indicators from unstructured user feedback data. An analytical artificial intelligence (AI) module identifies patterns and anomalies in the data. A correlation AI engine generates time-aligned embeddings and computes relationships between network events and user dissatisfaction. A generative AI module produces system modification recommendations based on correlation engine outputs. An action operator automatically deploys configuration changes to infrastructure nodes, monitors outcomes, and triggers rollback operations in response to performance regressions, without human intervention.

In at least one embodiment, processing can include: receiving, from a client, a request to access a metadata (MD) page, wherein the request specifies a lock type denoting a particular level of access to the MD page that is being requested by the request; and responsive to receiving the request, performing first processing including: locking the MD page and a corresponding translation table entry E1 for the MD page in accordance with the lock type denoting a particular level of access being requested, wherein E1 maps a logical address LA1 of the MD page to a physical storage or location PA1 on non-volatile storage where the MD page is stored; and subsequent to said locking, returning a response including the MD page to the client.