42results about How to "Convenient query" patented technology

The invention discloses a digital twinning long-span bridge earthquake wind vibration and vibration reduction and isolation system and method, the system takes a high-fidelity digital model for constructing a long-span bridge as a basis, comprises full life cycle monitoring and management of the bridge under earthquake, wind vibration and vibration reduction and isolation conditions, and is based on a sky-air-ground-water integrated ubiquitous sensing module. In combination with artificial intelligence algorithms such as deep learning and a pulse neural network, real-time state evaluation of a bridge structure, material nonlinear analysis, geometric nonlinear analysis, multi-point excitation and pile-soil-structure interaction simulation, wind-induced fatigue damage prediction, earthquake vulnerability evaluation and closed-loop control scientific decision based on an artificial intelligence body are realized. According to the invention, system support and method guidance can be provided for large-span bridge anti-seismic and anti-wind design, intelligent monitoring, operation and maintenance management and vibration reduction and isolation system optimization.

The invention discloses a decision-making system and method based on a Dores database, and the system comprises a data access layer which is used for accessing multi-source heterogeneous financial data in real time, a Dores storage calculation layer, and achieves the data storage, column-type bucket separation and materialized view pre-calculation based on the Dores database; the visual application layer is used for providing bidirectional interactive financial data visualization and decision support; wherein the data access layer acquires data in real time through a streaming computing engine and transmits the data to the Dores storage computing layer, and the visual application layer performs real-time data interaction with the Dores storage computing layer through a two-way communication protocol. According to the method, the synchronous delay of financial data is shortened from 6 hours to 1 second, second-level real-time integration is realized, the aggregation query response time of billion-level data is reduced to be within 1 second based on a Dores column type storage and materialized view technology, the user interaction response delay is lower than 500 milliseconds through WebSocket two-way communication, and real-time adjustment of parameters and dynamic refreshing of a billboard are supported.

The application relates to the technical field of circuit breaker detection, and specifically discloses a circuit breaker action characteristic detection system based on artificial intelligence, which comprises a data acquisition layer, a data preprocessing layer, a data analysis layer, a decision warning layer and a system management layer; the data acquisition layer is responsible for collecting the action characteristic parameters of the circuit breaker. Through filtering, normalization and feature extraction, the data quality and availability are improved, laying a foundation for subsequent analysis; the data analysis layer uses comprehensive calculation and analysis to evaluate multidimensional parameters in mechanical action, obtains a mechanical action state evaluation coefficient, and accurately grasps the operation state of the circuit breaker; the decision warning layer accurately determines the operation state and timely warns according to the evaluation result and a threshold value, helping operation and maintenance personnel to quickly respond; and the system management layer is used for dynamically optimizing a feedback determination threshold value, so that the overall scheme effectively improves the accuracy, reliability and intelligent level of circuit breaker detection, reduces fault risks, and guarantees the safe and stable operation of a power system.

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

The application discloses a log analysis method, device and equipment and a readable storage medium. The method comprises the following steps: collecting logs; extracting feature words from each log to obtain feature words in each log; corresponding feature words in each log form a feature word set of each log; according to the feature word set of each log and a seed set containing multiple seeds, determining a corresponding seed of each log, and classifying each log into a class where the corresponding seed of each log is located. The technical scheme disclosed by the application extracts feature words from logs to extract key information from the logs, classifies the collected logs according to the feature word set of each log, obtains key information and important information such as the category of the logs from the collected logs, so that the operation and maintenance personnel can query and use the logs faster and better, and the result obtained by analyzing the logs can also be used as a corpus for machine learning related to automatic operation and maintenance.

The utility model discloses a two-dimensional code anti-counterfeiting mark with grating analysis verification, which comprises a base material layer, a grating layer, a two-dimensional code layer and a protective layer, a grating structure is embedded in a two-dimensional code area, and a specific analysis sheet is matched, so that the two-dimensional code can be scanned, and grating information can be verified, thereby effectively preventing counterfeiting and improving the anti-counterfeiting level. The anti-fake label has the advantages of being high in anti-fake performance, easy to identify, good in compatibility, good in concealment and the like, and has wide market application prospects.

The application provides an operator knowledge transfer database establishment method and device and electronic equipment, applied to the field of artificial intelligence technology, using the powerful code understanding ability of the large language model, combining the general operator library source code and the specialized operator library source code of the completed chip, analyzing the core logic and code difference of each pair of operators to be analyzed, which can represent the differences existing in the source code of the same operator pair from the core logic and code difference, thereby further using the large language model to obtain knowledge points representing operator knowledge transfer, and structurally processing the knowledge points to obtain an operator knowledge transfer database convenient for querying. The operator knowledge transfer database can be automatically generated, and compared with the manual analysis in the prior art, the automation degree and construction efficiency of the operator knowledge transfer database construction are significantly improved.

The application relates to the technical field of building construction formwork monitoring, in particular to a high-formwork displacement monitoring system and a monitoring method, which comprise a collection controller, a laser emitter and a CCD sensor connected with the collection controller; a positioning sheet is installed on a monitored point; the laser emitter emits laser to the monitored point; light is projected to the positioning sheet to form a light spot; the light spot is projected to the CCD sensor; the CCD sensor transmits a signal to the collection controller and then transmits the signal to a main server of a smart construction site management platform through a total station communication module; the main server is connected with a database, a display large screen and an alarm module; the application adopts a laser triangulation imaging principle, laser emitting angles can be adjusted by construction personnel, the problem that a CCD device is not convenient to install and debug due to a small light receiving area is solved, laser lines emitted by the laser emitter are formed into light spots through the positioning sheet, and then the light spots are projected to the CCD sensor, so that the service life of the CCD sensor is prolonged.

The invention discloses a fault record storage device, an upper computer and a fault record query system, and the device comprises a plurality of first communication interfaces which have different communication protocols and are used for accessing target monitoring equipment so as to obtain a plurality of fault records of the target monitoring equipment based on the corresponding communication protocols; the data processing unit is connected with the plurality of first communication interfaces and is used for storing a plurality of fault records and circularly covering the plurality of fault records based on a storage sequence of the plurality of fault records under the condition that the residual storage space of the data processing unit is smaller than a preset threshold value; the second communication interface is connected with the data processing unit and used for accessing an upper computer so as to send the data messages corresponding to the multiple fault records to the upper computer for a user to inquire, effective storage of the fault records can be achieved only through a single device, then the cost of the fault records can be reduced, and the user experience is improved. And the applicability of the fault record storage device is improved.

The invention relates to the technical field of data management, and provides a lightweight business data change history recording method and system.The method comprises the steps that data persistence operation initiated through an ORM framework is intercepted and analyzed, and the operation type, involved target business objects and corresponding operation conditions of the data persistence operation are determined; reading external dynamic configuration, and judging whether the target business object is set as an audit object which needs to record a change history according to configuration information; and for the audit object needing to record the change history, automatically executing data state capture and audit log generation corresponding to the operation type. According to the method, the development efficiency can be remarkably improved, the maintenance cost can be remarkably reduced, non-invasion and purity of service codes are achieved, high flexibility and expandability are provided, integrity and traceability of audit data are guaranteed, and system operation and maintenance and data governance experience are optimized.

This invention discloses a data product identity ID generation method based on a data grid, belonging to the field of data processing technology. It includes constructing a system communication architecture based on a data grid, employing a distributed, multi-layered data product identity ID design within the communication architecture. This solves the technical problem of achieving efficient ID generation algorithms and query mechanisms using data grid-based data product identity ID generation. This invention ensures that the generated identity ID is globally unique within the data grid, improving user understanding and interpretability of its meaning, facilitating the expression of relationships and dependencies between data products, possessing strong versatility, improving interoperability between the system and applications, allowing for flexible expansion and customization, ensuring efficient data transmission and low-latency communication, while also possessing reliability. The design employs the BGP routing protocol, enabling the selection of the optimal path, avoiding loops, and achieving data communication across autonomous systems.

The embodiment of the application belongs to the field of financial technology, and relates to a data batch request method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining batch request parameters according to a batch request instruction; obtaining preset parameter saving information, saving the batch request parameters in a predetermined time period according to the parameter saving information to obtain effective request parameters; requesting cached data according to the batch request parameters, and detecting whether the return result of the cached data is empty; if the return result of the cached data is not empty, obtaining update information of the cached data, updating the cached data according to the update information to obtain batch request data; and if the return result of the cached data is empty, screening the effective request parameters according to the update information to obtain to-be-requested parameters, and sending the to-be-requested parameters to a database for data request to obtain the batch request data. The application can effectively improve the data reading efficiency when data is requested in batches.

This invention relates to the field of aircraft health management technology, and discloses a system and method for implementing aircraft health management. The method collects health data from various monitoring points on the aircraft and status information from various ground processing nodes; then, based on this data and information, it processes the data to obtain target monitoring point clusters for each ground processing node; next, it preprocesses and configures the health data sent by the target monitoring point cluster, and then aggregates the cluster health data from each ground processing node and uploads it to a health database storage interface; finally, it synchronously obtains and analyzes the operational data from each storage interface through the health database storage interface, and performs distributed storage management of the cluster health data. This method can provide a scientific basis for aircraft maintenance, effectively improve aircraft safety, reliability, and operational efficiency, and reduce operating costs, thus having significant application value in the field of aircraft health management.

The invention provides a universal storage adaptation method for a cloud computing platform, which belongs to the technical field of cloud computing, and is characterized in that an OpenStack Cinder is cut, only a driver of a butt-joint storage manufacturer and a relevant part of a configuration file are reserved, an API (Application Program Interface) entry and business logic are self-researched to form an IaaS (Infrastructure as a Service) micro-service storage adapter storage-cinder, and RESTful interfaces such as volumes, snapshots and the like are externally provided. When new storage is docked, information such as a management IP and a storage pool is collected, a corresponding cinder driver file is obtained and put into a K8S specified directory, and ciner.conf is edited and written into back-end configuration; and the cloud platform block storage service calls an adapter interface through a driver of the cloud platform block storage service to complete operations such as management and subsequent creation, deletion, mounting, unloading and the like. According to the scheme, the new storage adaptation development and joint debugging workload is reduced, and the delivery efficiency is improved.

The invention relates to the field of airport road foreign matter detection, and provides a machine learning-based FOD detection algorithm, which comprises an input module used for receiving basic image data of an airport runway; the processing module is used for carrying out preprocessing and feature extraction on the input data; the storage module is used for storing the original image data and the detection result; the acquisition module is used for acquiring image and sound data of an airport runway in real time; and the recognition module is used for recognizing moving objects and static objects in the collected data based on a machine learning model. And high-precision real-time detection is realized through cooperation of multiple modules. The acquisition module adopts a high-definition camera to ensure that image data is clear; the processing module utilizes a convolutional neural network (CNN) to extract features, and can accurately recognize moving and static objects in combination with a YOLOv5 algorithm of the recognition module. The comparison module compares the real-time image with the original image, abnormity is judged if the real-time image is lower than the threshold value, the runway foreign matter can be found in time, and the system can rapidly position the FOD in the complex environment.

This application provides a blockchain-based method and system for agricultural product traceability, comprising: collecting environmental and operational data of agricultural products during planting, storage, and logistics stages via IoT devices to generate end-to-end raw data; encrypting the raw data and storing it on a consortium blockchain to generate a traceability QR code containing a data index; generating end-to-end traceability information based on the consortium blockchain data, allowing consumers to query by scanning the code; and monitoring the consortium blockchain data in real time, identifying anomalies based on preset thresholds, and pushing early warning information to relevant entities. This method improves the transparency, authenticity, and efficiency of anomaly handling in agricultural product traceability, providing efficient and reliable technical support for the agricultural supply chain.

The invention relates to the technical field of data integration, in particular to an internet information integration method and device and electronic equipment. The method comprises the following steps: preprocessing Internet multi-source information; performing data analysis and structuring on the Internet multi-source information to obtain a standardized data model; constructing a multi-source evaluation model based on the standardized data model to evaluate the credibility of the Internet multi-source information; performing information fusion and conflict resolution on the Internet multi-source information based on the comprehensive credibility score; and constructing an integrated database based on the Internet multi-source information after information fusion and conflict resolution. According to the invention, by constructing a multi-source acquisition engine, a heterogeneous analyzer, a credibility evaluation matrix and an intelligent fusion engine, automatic, structured and credible integration of enterprise-related internet information is realized.

The invention belongs to the technical field of computer networks, and particularly relates to a local area network equipment attack monitoring and early warning method based on asynchronous parallel computing, which utilizes the existing attack data and defense data to construct an attack type knowledge graph, is convenient to inquire known attacks, provides background knowledge for monitoring unknown attacks, and improves the security of the equipment. The attack monitoring precision is improved; an asynchronous parallel computing model is designed, equipment in a local area network is used as a computing model, cross model training is carried out, and internal resources are fully utilized to improve monitoring precision and efficiency; the attack early warning scheme is preset, the defense strategy is intelligently matched for the current attack monitoring result, the attack type knowledge graph is updated in real time, the robustness is improved, the method is carried out in the local area network, and internal data privacy leakage caused by third-party management is avoided.

The application discloses a large language model driven intelligent financial field database interaction method, and relates to the field of databases, and the method comprises the following steps: S1, constructing a language model and training; S2, recognizing and analyzing user input information by using the language model; S3, the language model selects a database interaction tool according to the recognition result, and queries the database; S4, the database interaction tool returns the query result, and saves the query data to an intermediate file; S5, steps S3-S4 are repeatedly executed based on an action chain until all database interaction tools finish querying, and the query result is output through the language model; S6, the output variable is replaced by using the query data in the intermediate file, and the result is returned to the user. The application reduces the threshold of user and database interaction, and realizes the innovation of user interaction.

The invention discloses a device for collecting data information of an intelligent power tool apron, and relates to the technical field of power tool aprons. The sensor module is arranged in the intelligent power tool apron and is used for collecting various information related to the intelligent power tool apron and providing basic data for subsequent data analysis and processing; the information management system can effectively collect and manage information of the intelligent power tool apron and a user of the intelligent power tool apron, and subsequent operations such as inquiry, statistics and analysis are facilitated; real-time data are received, compared, judged, alarmed and recorded, so that the functions of real-time monitoring and abnormal early warning of the operation state of the tool apron are realized; the information management system and the information processing system can be effectively protected under the action of the protection box, interference of external factors on operation of the information management system and the information processing system is avoided, the stability during operation is improved, the protection mechanism is detachably connected, workers can conveniently overhaul and maintain the information management system and the information processing system, and the practicability is further improved.

The invention relates to the crossing field of intelligent agricultural insurance and intelligent agriculture, in particular to a wheat planting complete cost insurance double-precision double-reduction technology integrated intelligent system based on space-air-ground multi-source data, which comprises a data acquisition module for acquiring satellite remote sensing, unmanned aerial vehicle aerial survey and internet-of-things perception covering a wheat planting complete period, space-air-ground multi-source data such as cross-department government affairs and market sharing can be realized; and a data preprocessing, outputting and active pushing module. According to the method, wheat exclusive monitoring equipment is adopted, air-space-ground multi-source data and standardized technical parameters are integrated, through planting area grading verification and marking, a growing period dynamic compensation model is fused, data accuracy and consistency are ensured, single data dimension limitation is broken through, full-period all-dimensional accurate monitoring from sowing to harvesting is achieved, and the method is suitable for large-scale popularization and application. Causal association and forecasting of risks and yield, quality and price are achieved, the planting area underwriting error is smaller than or equal to 3%, and the loss assessment error is smaller than or equal to 5%; the claim settlement period is shortened to be within 3 days from traditional 15-30 days, the farmer experience and insurance claim settlement efficiency and precision are greatly improved, and high-quality data support is provided for double-precision business and double-reduction intervention.

This utility model discloses an intelligent networking terminal and an intelligent speaker. The intelligent networking terminal includes a routing module and an Android module. The routing module includes a first USB interface, and the Android module includes a second USB interface, an Android IC unit, and a touch unit. The first USB interface and the second USB interface are connected via wired communication. The Android IC unit is electrically connected to both the second USB interface and the touch unit. The touch unit receives user setting or query commands, generates and sends query information, and the Android IC unit sends the query information to the routing module via the second USB interface and the first USB interface to operate or configure the routing module. Therefore, the routing module can be set or queried through the Android module, expanding the functionality of the intelligent networking terminal and making it more convenient and flexible to set or query the routing module, thus improving the flexibility of the intelligent networking terminal's configuration and operation.

The invention provides a method and a system for constructing a police affair financial question-answering system based on a large model. The method comprises the following steps: acquiring multi-source police affair financial data and a user query request; constructing a police affair financial knowledge base according to the multi-source police affair financial data; performing semantic analysis and query rewriting on the user query request by using a pre-constructed special retrieval enhancement generation model for the police affair financial field to obtain a standardized query result; matching associated information of the standardized query result from the police affair financial knowledge base by using a hybrid retrieval strategy; based on the associated information, deploying a police affair financial question-answering system supporting multi-terminal interaction; through the overall design of multi-source data integration, domain model adaptation, hybrid retrieval optimization and multi-terminal deployment, accurate matching of police affair financial knowledge and efficient response of professional query can be realized, and meanwhile, data security and scene suitability are considered, so that the accuracy, convenience and compliance of police affair financial questions and answers are comprehensively improved.

The invention provides a post-structured analysis method and device for medical record data, and relates to the technical field of medical treatment. The method comprises the steps that post-structured index configuration information of a target data use scene is acquired from a preset post-structured index database, and the post-structured index configuration information comprises analysis configuration information of multiple medical indexes related to the target data use scene; according to the analysis configuration information of the plurality of medical indexes, adopting a preset post-structured analysis tool to perform post-structured analysis on the to-be-analyzed electronic medical record to obtain structured data of the target data use scene, the structured data comprising analysis data of the plurality of medical indexes in the to-be-analyzed electronic medical record; and storing the information of the target data use scene and the analysis data of the multiple medical indexes according to the analysis configuration information of the multiple medical indexes. Therefore, the data use efficiency and the data query precision are improved, and the data analysis cost is reduced.

The application relates to the technical field of document query assistance, in particular to a structured XML standard document intelligent query assistance system based on a large model, which comprises a data receiving module, a document comparison module, a data division module, a data analysis module, a text generation module, a data statistics module and a data processing module, whether the processing of each document is qualified is determined based on a click probability, when it is determined that the processing of each document is abnormal, a preset reference quantity is adjusted to a corresponding value, whether the operation of the document generation module is qualified is determined based on the average push quantity of the average single output push document of the text generation module, when it is determined that the operation of the document generation module is abnormal, a preset category quantity used for dividing the relevance of single batch documents is adjusted to a corresponding value. The feedback of the user is analyzed, the system is optimized according to the use behavior of the user, and the query efficiency of the document is improved.

The invention relates to the technical field of territorial space planning, in particular to a territorial space planning data acquisition and analysis system. Comprising a data acquisition module, a data preprocessing module, a data analysis module, a data storage module and a result display module. Various data sources are integrated, data timeliness is improved by combining various data acquisition modes, territorial space planning is ensured to be performed based on newest information, and planning errors are avoided; a plurality of analysis methods are introduced, including spatial overlay analysis, buffer analysis, statistical analysis and model prediction analysis based on machine learning and deep learning, so that the prediction accuracy is improved, and the planning has perspectiveness and adaptability; the mode of combining the relational database and the non-relational database is adopted, the respective advantages are exerted, the non-relational database adopts a distributed storage architecture, the data storage reliability and expansibility are improved, the system stability is ensured, and the increased data storage requirement is met.

The invention discloses an abnormal index prompting system and method in a thyroid related diagnosis and treatment process, and relates to the technical field of computer-aided diagnosis. The system comprises a data acquisition module, a data processing module, an exception identification module, a prompt module, a data storage and management module, a rule configuration and update module, a data quality control module, a log recording module, an interaction and feedback module and a system integration interface module. And the data acquisition module is used for automatically capturing thyroid related multi-source detection data and classifying the thyroid related multi-source detection data. According to the method, automatic acquisition and classification of multi-source data are realized through multi-module cooperation, high-quality structured index data are generated through comprehensive data processing, and the abnormal indexes are comprehensively and accurately identified by using an abnormal identification method based on a threshold value and a time trend, so that the efficiency and the accuracy of abnormal index identification are greatly improved; more reliable index abnormal information is provided for doctors, the doctors are assisted to pay attention to index changes in time, and the diagnosis and treatment efficiency is improved.

An information management method for high-strength bolts in steel bridges is proposed. This method involves collecting a dataset, building a bolt center point recognition model based on a fully convolutional neural network, and mounting the trained model onto a small computing unit. Before final tightening, the overall image of the bolt node panel is input into the model to identify the bolt distribution on the node plate. A QR code is scanned to confirm the correspondence between the QR code, the scan result, and the model's recognition result. For each bolt being tightened, a corresponding image is collected, and the row and column number of the bolt being tightened are identified. The bolt image is then input into a high-strength bolt construction management system for individual mapping, along with its corresponding number, final tightening angle, final tightening torque, and node plate number. This invention addresses the problems of lack of overall management, lack of correlation, and poor traceability in on-site construction quality management, enabling rapid querying of bolt-by-bolt construction information for high-strength bolts in steel bridges during construction and operation phases.

The utility model provides a pipeline detection device for petroleum and natural gas pipeline engineering. The pipeline detection device comprises a feeding cylinder; the feeding assembly is arranged at one end of the interior of the feeding cylinder; the rotating assemblies are arranged on the two sides of the interior of the feeding cylinder and used for driving a pipeline to rotate; the detection cylinder is arranged at the other end of the feeding cylinder and is communicated with the feeding cylinder; the flaw detection assembly is arranged in the detection cylinder; and the two water tanks are oppositely arranged on the outer wall of the detection cylinder. A pipeline is arranged in the feeding cylinder, then the pipeline is fed into the detection cylinder through the feeding assembly, detection is conducted through the flaw detection assembly, when a damaged part is detected, a water suction pump in the water tank is started, color ink in the water tank is sprayed to the damaged part through a spray head, marking is conducted, main workers can conveniently inquire the damaged part, and the working efficiency is improved.

The application discloses a kind of based on main coordination's distribution network load precision control method of coordination, including by provincial dispatching automation system Cut-off load target value instruction is issued to regional control system;In response to Cut-off load target value instruction, regional control system inquires whether there is special line load, if there is special line load, then cut-off special line load and calculate remaining cut-off load target value, generate remaining cut-off load target value instruction and issue to regional distribution network system;In response to remaining cut-off load target value instruction, regional distribution network system according to pre-constructed controllable load resource pool inquires each cut-off load and corresponding cut-off load amount, based on each cut-off load and corresponding cut-off load amount according to pre-set control strategy Generation control scheme, according to control scheme carries out distribution network load precision control;The application can accurately cut off part of load, reduce the influence of power grid power imbalance, maintain power system stable operation.