78results about How to "Improve integration efficiency" patented technology

The invention relates to the technical field of environment monitoring, in particular to a natural reserve ecological monitoring result display system based on geographic information data, which comprises a data acquisition module, a data fusion module, a dynamic GIS module, an intelligent analysis module, a multi-dimensional display module, an interactive report generation module and a user interaction module. Wherein the data acquisition module is used for acquiring ecological monitoring data; the data fusion module is used for carrying out fusion processing on the multi-source ecological monitoring data; the dynamic GIS module is used for mapping the fused ecological monitoring data into a geographic space in real time; the intelligent analysis module is used for intelligently analyzing the geographic space data; and the multi-dimensional display module is used for displaying the ecological monitoring result. According to the system and the method, the ecological data processing capability is improved through an efficient data fusion technology and an advanced intelligent analysis module, and meanwhile, the user experience is greatly enhanced through an interactive report generation and multi-dimensional display module.

The invention provides a multi-platform collaborative data acquisition and analysis method, and relates to the technical field of data processing and analysis. The method comprises the following steps: receiving and converting data from different platforms into a unified intermediate format through a data adaptation intermediate layer, and processing a data structure and an interface of a specific platform by using a plurality of adapters; the data abstraction layer defines a standardized interface, so that multiple platforms request data through a unified interface, and a mapping rule converts the request into calling of the adaptation layer; the data integration engine preprocesses the data to ensure data consistency and accuracy; the data warehouse adopts a distributed architecture to ensure the service continuity through load balancing, data partitioning, a caching mechanism and a redundant storage and fault transfer mechanism; and the data processing and analysis module converts the data into decision suggestions by using a visual tool and a data mining algorithm. According to the method, manual intervention is reduced, the data processing speed and accuracy are improved, the data mode and trend are deeply mined, and service decision is promoted.

The invention discloses an automatic DCMM evaluation system based on a multi-source heterogeneous data integration mechanism, and relates to the technical field of data quality management.The automatic DCMM evaluation system comprises a data source management module, a data integration module, a data quality evaluation module, a data quality diagnosis module and a data quality monitoring module which are connected through electric signals; and the data source management module is used for accessing various types of data sources and collecting original multi-source heterogeneous data from a plurality of data sources. By comprehensively monitoring and evaluating the data quality, the accuracy and integrity of the data are improved, the abnormal early warning coefficient is calculated, the potential data quality risk is recognized in time, and when it is detected that the data quality is abnormal, an early warning mechanism is automatically triggered, and an alarm is sent to inform related personnel, so that the data quality is ensured to be abnormal. Therefore, the data quality problem can be found and solved at the first time, so that the reliability and credibility of the data are improved.

The invention relates to an interface design method for a dynamic performance analysis and evaluation system of a virtual power plant. The interface design method comprises the following steps: dividing the dynamic performance analysis and evaluation system of the virtual power plant into a sensing layer, a communication layer, a data access layer, a data layer, a service layer, an application layer and a display layer according to functions; different interfaces are designed for each level, including a standardized data acquisition protocol and a high-frequency data transmission mechanism of a sensing layer, a multi-protocol compatibility and protocol conversion design of a communication layer, a unified data format and efficient data transmission of a data access layer, and a database interface and file storage interface design of a data layer. The authentication service, authority management and data access service of the service layer, the modular interface design and real-time data interaction of the application layer, and the cross-browser compatible design and data visualization function of the display layer. By optimizing the design of the system interface, efficient, safe and stable data processing and communication are realized, and the real-time performance, compatibility and user experience of the system are improved.

The invention discloses a ship multi-source data integration method based on a Word2Vec model. The method comprises the following steps: 1) collecting ship spare part data from different sources; 2) preprocessing the collected ship spare part data; 3) arranging the preprocessed multi-source ship spare part data, and forming a standard ship target database in combination with a ship database standard; 4) constructing a ship spare part word source according to the spare part name information extracted from the ship target database in the step 3), and constructing a word vector model based on the standardized ship spare part word source; 5) extracting ship spare part names needing to be compared from spare part data from different sources, comparing the ship spare part names with spare part names in the target database, and calculating cosine similarity; and 6) fusing the spare part names to be compared with the spare part names in the target database, and finally generating uniform data representation. The word vector model is used for data matching and fusion, manual intervention can be reduced, and the data integration efficiency is improved.

The invention belongs to the technical field of system simulation, and relates to a joint simulation model integration method and tool and a medium. The method comprises the following steps: firstly, analyzing semantics of a model, including meta-model data analysis, conceptual model description analysis, static semantic analysis and dynamic semantic analysis; then performing interface function event association mapping to obtain a mapping relationship between a model interface and a standard interface; next, configuring a model integration environment, including a running environment, model assembly and scheduling parameters, a generation directory file, an agent model / model scheduling file and the like; and finally, integrating and packaging the packaged proxy model / model scheduling file and the like, and sending the packaged file to a model resource library. According to the method, automatic integration of most types of models (including components, entities, semi-physical models and systems) in the technical field of system simulation can be realized, the integrated polymorphic models can be expanded and reused, the simulation efficiency is greatly improved, and various existing model resources are fully utilized to shorten the integration period.

The invention provides an electric power system technology visualization display method and system based on a knowledge graph, and relates to the technical field of electric power systems, and the method comprises the following steps: S1, a data preprocessing stage; s2, a database construction stage; s3, a structural design stage; s4, a data integration stage; s5, interface design and development; s6, drawing and optimizing an atlas; s7, system interaction and function improvement; the system comprises a data acquisition and preprocessing module, a database construction and management module, an atlas structure design and drawing module, a user interaction and data updating module and an interface display and control module. Through improved data processing, dynamic updating, user interaction and visual display, the defects of an atlas in the prior art are overcome; and a more efficient and intuitive solution is provided for technical management and innovative resource display of a novel power system.

The invention discloses an interface data acquisition method and device, equipment, a storage medium and a program product, and relates to the technical field of data processing.The interface data acquisition method comprises the steps that when a service platform receives an interface scanning command, a preset toolkit in a project root directory of a target project is operated to scan the project root directory to acquire a routing configuration code file, the target project is a project integrated with a third-party Python application in the service platform; determining a view function of the target project based on the routing configuration code file; the view function is analyzed through an inspection module to obtain interface parameter information of a calling interface, the interface parameter information is stored in a database of the service platform, and the calling interface is an interface which is packaged in the service platform and used for calling the third-party Python application. According to the application, the efficiency of integrating the third-party service API by the service platform is improved.

The utility model discloses a photovoltaic power station high heat dissipation energy storage cabinet, which comprises an energy storage cabinet and a heat dissipation device, the energy storage cabinet comprises a heat preservation cabinet and an electric appliance cabinet, the electric appliance cabinet is fixedly connected inside the heat preservation cabinet, and a cold air channel, an air distribution channel and an air return channel are respectively arranged between the electric appliance cabinet and the heat preservation cabinet. The heat dissipation device comprises an air cooling box, an air cooling assembly and a drying box, the air cooling assembly is arranged in the air cooling box, the air cooling box is fixedly connected to the upper end of the heat preservation cabinet and the upper end of the electric appliance cabinet, and the air cooling box is communicated with the air return channel and the cold air channel. The lower ends of the heat preservation cabinet and the electric appliance cabinet are fixedly connected with a drying box, a drying assembly is arranged in the drying box, and the upper end of the drying box is communicated with the cold air channel and the air distribution channel. The utility model aims to provide the high-heat-dissipation energy storage cabinet which is efficient in heat dissipation, stable in operation and high in reliability.

The invention provides an automatic distribution system for medical examination items. The automatic distribution system for the medical examination items comprises a hardware module which comprises a data acquisition terminal, a patient terminal device, an examination point terminal device, a central server and a network communication module; the software module comprises data acquisition software, path planning and sorting algorithm software, user interaction interface software and push control software, a sorting algorithm supports priority dynamic adjustment rules of patients with special requirements, and personalized requirement priorities of emergency patients can be automatically assigned according to disease levels of the patients. According to the algorithm model, the system achieves dynamic planning and pushing of the checking sequence through the following optimization model. According to the automatic distribution system for the medical examination items, through cooperative work of the hardware module, the software module and the optimization algorithm model, the efficiency and accuracy of examination path planning and queuing information integration are remarkably improved.

The invention relates to the technical field of data integration, in particular to a kettle data integration method based on a unified scheduling platform. According to the method, the DolphinScheduler and the kettle are combined, and the configured kettle task is put into the DolphinScheduler scheduling platform to be executed, so that rich components in the kettle can be fully utilized to process data, the task is put into the distributed scheduling platform to be executed, the number of the synchronously executed tasks can be increased, the advantages of two pieces of software are matched, synchronous execution of a large batch of data integration tasks is realized, and the efficiency is improved. And the demand of processing mass data is met. Meanwhile, the new energy requirement of the server is reduced, and the number of deployed scheduling platform services can be increased to make up.

The invention discloses an automatic generation method and system for a substation system configuration description file, and belongs to the technical field of substation design. According to the method, various configurations of the substation system configuration description file can be automatically generated, the time-consuming and labor-consuming problems of IED equipment integration, communication subnet configuration, instantiation description updating, optical cable information configuration and the like in the current substation system configuration description file are solved, and the digitization level in the design debugging stage is effectively improved; and the workload of subsequent configuration of the substation system configuration description file in the project is reduced, the integration efficiency of the substation system configuration description file in the project practice can be improved, and the manual workload is effectively reduced.

The invention discloses configurable PCIE (Peripheral Component Interface Express) network communication middleware based on multiple partitions and multiple tasks, which comprises a system initialization module, a partition cache region management module and a PCIE channel management module, and is characterized in that the system initialization module is used for completing initialization and initializing the size of a partition cache region and the number and size of PCIE space channels according to analyzed configuration data; the partition cache region management module is used for managing a partition cache region and providing a transceiving interface for an upper-layer application; and the PCIE channel management module is used for managing a receiving and transmitting channel of the PCIE space channel and finishing copying from the partition cache region to the PCIE space channel and copying from the PCIE space channel to the partition cache region. Traditional communication software is decomposed into a multi-layer design, each layer of sub-function module is single in responsibility, and a communication framework which is easy to expand, upgrade and customize and supports efficient development is provided for development of various kinds of high-complexity middleware software.

This invention belongs to the field of integrated circuit design technology, specifically relating to a method for optimizing integrated circuit design data. This method first constructs a "tool-layer-semantic" data acquisition architecture, integrating multi-channel parallel acquisition units to collect heterogeneous data from multiple sources. Compliance pre-verification is performed through hardware logic circuits and a verification rule base, extracting key data identifiers. A three-level incremental compression strategy based on key data priority, combined with an intelligent index integrating multi-dimensional indexes, is used for compression and storage. The stored data undergoes multi-dimensional optimization, including semantic deduplication, priority optimization, format conversion, and source quality backtracking, forming a unified format optimized semantic. Through an interactive interface, it is adapted and interacted with electronic design automation tools. After consistency verification and performance testing feedback loops, the final design data and full-process traceability information are obtained and stored. This invention achieves unified management, efficient compression, intelligent optimization, and full-process traceability of design data.

The invention provides a field mapping method for a vehicle signal, electronic equipment and a storage medium, and the method comprises the steps: obtaining a current vehicle signal of a to-be-mapped vehicle model, determining a signal type corresponding to the current vehicle signal, determining a target model in a plurality of field mapping models which are trained according to the signal type, and carrying out the mapping of the target model, the field information corresponding to the current vehicle signal is determined through the target model, signal field mapping based on the model is achieved, manual comparison of the vehicle signal matrix is not needed, the mapping efficiency and accuracy of the vehicle signal are greatly improved, and therefore the efficiency and accuracy of large-scale vehicle signal integration and analysis can be improved; according to the method, the field information is identified through the field mapping models corresponding to the signal types, the processing efficiency of the vehicle signals can be improved, the processing real-time performance of the vehicle signals is guaranteed, delay is reduced, the different signal characteristics of different signal types are considered, the field information is identified through the field mapping models corresponding to the signal types, and the field mapping precision can be further improved.

The invention relates to the technical field of big data processing, and relates to a data processing method and device, a computer program product and electronic equipment. The data processing method comprises the following steps: analyzing an obtained multi-source data file, and extracting numerical value information and semantic background information corresponding to the numerical value information from the multi-source data file; according to the numerical information and the corresponding semantic background information, performing clustering processing on the numerical information according to preset multi-dimensional clustering features to obtain a plurality of data clusters, and performing statistical analysis on data in each data cluster to generate a structured data template corresponding to each data cluster; and matching the to-be-processed file with the generated structured data template, determining a target data template according to a matching result, and processing the to-be-processed file based on the target data template to obtain processed data. The data processing efficiency and accuracy can be improved.

The present application relates to the technical field of power plant resource scheduling, and provides a cross-regional virtual power plant frequency regulation resource collaborative scheduling optimization method combined with a large model. The method includes: establishing a cross-regional resource pool and labeling it, establishing a resource sharing architecture; calling high-frequency sensors to monitor the load and frequency of each region, and establishing a real-time demand data set; activating the adversarial network to expand the historical data set of each region, performing time series prediction of the real-time demand data set, and establishing a time series prediction result; generating a connection stability value based on the connected identifier, and performing collaborative scheduling optimization based on the time series prediction result, label identification, and connection stability value to generate an optimization result; reconstructing the resource sharing architecture based on the optimization result, and performing collaborative scheduling management of power plant frequency regulation resources to solve the technical problems of low resource utilization and difficulty in collaborative scheduling between regions due to uneven resource distribution and inconsistent response speed in each region, so as to achieve the effect of improving the collaborative response speed and resource utilization of frequency regulation resources.

The invention relates to the field of grain quality control, and particularly discloses a grain production article control device. The storage silo device is connected with the silo base; the bin position adjusting device is connected with the interior of the storage bin cylinder device; the discharging control device is connected with the storage silo device and is used for completing discharging control of the grain particles; the discharging quality control equipment is connected with the material storage silo device; wherein the blanking quality control equipment specifically comprises a detection driving device, a material storage silo device, a control device and a control device, and the detection driving device is connected with the material storage silo device; according to the grain quality detection and sorting device, the quality change of grains in the storage process is effectively monitored, and quantitative export, disturbance sorting and quality screening of grain particles are achieved in combination with the bin position adjusting device, the discharging control device and the quality detection and sorting device.

The invention belongs to the field of medicine production equipment, and discloses a soft capsule drying rotary cage automatic cleaning machine which comprises a pushing trolley, a drying rotary cage, an automatic cleaning box, a purified water system, an alkaline water system, a drying system, a vacuumizing system and a PLC. The material pushing trolley is arranged on the front side of the automatic cleaning box, and a drying rotating cage is arranged on the material pushing trolley in a push-pull mode. The automatic cleaning box comprises a bottom equipment bin, a top cleaning bin and a sealing door which can be arranged at a front side opening of the cleaning bin in a sealing mode. A plurality of spraying heads connected with the purified water system and the alkaline water system are arranged at the top of the cleaning bin, and a transmission gear meshed with the drying rotating cage is arranged at the top of the right side and externally connected with a driving mechanism. Ultrasonic waves are combined with a cleaning agent to complete automatic cleaning of the drying rotating cage, meanwhile, drying and disinfection are automatically conducted after cleaning, and the cleaning requirement of a medicine clean production area is met.

This application discloses a data-processing-based intelligent management method and system for thermal power fuel, comprising the following steps: collecting multi-dimensional data of the entire life cycle of thermal power fuel; cleaning, standardizing, and fusing the collected multi-dimensional data to obtain pre-processed fuel data; constructing a multi-dimensional analysis model to analyze the pre-processed fuel data, comparing the analysis results with preset condition information, generating procurement adjustment instructions, inventory scheduling instructions, coal blending execution instructions, and equipment operation and maintenance early warning instructions, and pushing the instructions to the corresponding execution terminals, collecting feedback data in real time during the instruction execution process; obtaining instruction execution status data based on the feedback data, visualizing the instruction execution status data, fuel data, and analysis results, and generating multi-dimensional statistical reports; this invention establishes a unified data collection and integration mechanism, breaks down data barriers at each stage, and forms a complete data link for the entire fuel life cycle.

The invention discloses a secondary intelligent equipment model selection method based on automatic identification and intelligent analysis, and the method comprises the steps: defining a file identifier of an ICD model file, creating an ICD model file library of an intelligent substation, and determining a standard ICD model and a file identifier of the ICD model file; creating an intelligent substation engineering design information table, and defining engineering design information of the intelligent substation engineering design information table; the method comprises the steps of performing automatic model selection on ICD model files in an ICD model file library on the basis of an intelligent substation engineering design information table, automatically generating an IED equipment list on the basis of the matched ICD model files, automatically configuring IED names and IED descriptions, and integrating SCD files. According to the method provided by the invention, the integration efficiency and quality of the intelligent substation can be remarkably improved, and reference is provided for development and construction of the intelligent substation.

The present invention relates to the technical field of operation and maintenance management, and specifically relates to an integrated operation and maintenance management system and method based on AIOps; the method includes: collecting multi-source IT operation and maintenance data and completing standardized preprocessing to form operation and maintenance data input in a unified format; classifying and storing the preprocessed data using a hybrid storage architecture, and implementing data synchronization through a cross-database synchronization tool to break data silos; performing intelligent analysis on the data based on the TensorFlow framework to generate fault diagnosis results and performance trend prediction data; generating operation and maintenance decisions according to the analysis results, and performing automatic repair, work order allocation or resource scheduling operations; outputting operation and maintenance management results, presenting data and decision execution situations through a visualization interface, and providing report generation and management configuration functions; through a full-process automated data processing and intelligent operation and maintenance decision-making mechanism with multi-module collaboration, the technical problems of slow fault response, weak data integration, low accuracy of risk prediction and low operation and maintenance efficiency in the traditional operation and maintenance mode are solved.

The invention provides a text travel big data collection and treatment method, system and device and a storage medium, and the method comprises the steps: obtaining multi-source unstructured text travel data, carrying out the recognition of the unstructured text travel data based on a text travel field knowledge base, and generating structured text travel data according to a data structure defined by a DSL; inputting the structured text travel data into a data processing rule base to determine a data processing logic, generating a regular expression corresponding to the data processing logic by using regular expression middleware, performing pre-compiling, analyzing the structured text travel data by using a finite automaton algorithm, and generating to-be-classified text travel data; and setting a composite logic gate according to a classification requirement, inputting the to-be-classified text travel data into the composite logic gate, performing classification processing according to a corresponding logic expression, and displaying a classification result. According to the method, comprehensive and accurate big data support can be provided for the text travel industry, and the collection, treatment and application capabilities of the text travel big data are remarkably improved.

The present invention provides a method and device for generating a MailCore2 component integration configuration file. Applied to the technical field of software development, the method comprises opening a target compilation configuration file of an Xcode project file in a MailCore2 project; filling the compilation source file in the target compilation configuration file into a newly created initial podspec file in the root directory of the MailCore2 project to obtain a first podspec file; filling the copy file in the target compilation configuration file into the first podspec file to obtain a second podspec file; filling the library file search path in the target compilation configuration file into the second podspec file to obtain a third podspec file; filling the header file search path in the target compilation configuration file into the third podspec file; filling the compiler flag file in the target compilation configuration file into the third podspec file to obtain a fourth podspec file; filling the target build information into the fourth podspec file to obtain the target podspec file. In this way, the efficiency of MailCore2 component integration can be improved.

This utility model discloses a lightweight hot air blower frame, specifically relating to the field of hot air blower technology. It includes a fixed plate with a mounting groove on one side. A support device is movably connected to the rear end of the fixed plate. Bolts are movably connected to one side of the mounting groove. A connecting device is fixedly connected to the upper end of the support device, and a fixed seat is movably connected to the upper end of the connecting device. A hot air blower is fixedly connected to the upper end of the fixed seat. This lightweight hot air blower frame solves the pain points of traditional hot air blowers in complex environments by upgrading flexibility, stability, and scene adaptability. It also has advantages such as safety, efficiency, and ease of maintenance. The height of the support legs can be adjusted according to the flatness of the ground or operational needs, ensuring the hot air blower remains horizontal under uneven, tilted, or other non-ideal ground conditions. The support legs can rotate at multiple angles and independently adjust the tilt angle, enhancing the equipment's fit with the ground and preventing tipping.

The invention discloses a porous fusion cage and a design device and method. The porous fusion cage design device comprises a three-dimensional model acquisition module, a mechanical calculation module, a finite element module and a fusion cage parameter generation module. The three-dimensional model acquisition module is used for acquiring a three-dimensional model of a target area of a target object; the mechanical calculation module is used for calculating muscle and ligament load data of a target area of a target object; the finite element module is used for determining a finite element analysis result according to the three-dimensional model, the fusion cage model and the muscle and ligament load data; and the fusion cage parameter generation module is used for determining the design parameters of the porous fusion cage according to the finite element analysis result. According to the porous fusion cage design device, the overall biomechanical condition of the adjacent vertebral bodies can be comprehensively considered, and the designed porous fusion cage better meets the actual use requirement of a patient.

The present invention relates to the field of microgrid technology, and specifically to a photovoltaic storage AC / DC hybrid microgrid system. The photovoltaic storage AC / DC hybrid microgrid system provided by the embodiment of the present invention is a highly integrated comprehensive energy system, which integrates photovoltaic power generation, energy storage technology, AC / DC power conversion and intelligent management technology. The system realizes unified coordination and management of photovoltaic power generation, energy storage, energy conversion, energy management, monitoring and protection, and load modules through a microgrid controller. The introduction of a wireless transmission module ensures the real-time transmission of information between modules within the system and the rapid execution of instructions, thereby improving the response speed and reliability of the system. In addition, the modular design enables the system to be flexibly expanded and upgraded according to actual needs, enhancing the flexibility, adaptability and scalability of the system. Overall, the system efficiently coordinates energy utilization, has strong real-time communication capabilities, and is highly flexible and scalable.

The application relates to the technical field of data processing, and relates to an Excel data emergency reporting and processing method based on dynamic mapping, which comprises the following steps: receiving an emergency reporting instruction, confirming an emergency processing system and a to-be-processed Excel file based on the emergency reporting instruction, performing structural analysis on the to-be-processed Excel file to obtain a table header field set and a data region set, constructing a field mapping rule library by using a dynamic mapping unit and the table header field set, generating a dynamic filling report template set based on the field mapping rule library and the data region set, checking a backfill data set by using the field mapping rule library to obtain a check result set, performing data aggregation by using a data aggregation unit based on the check result set and the backfill data set to obtain an aggregated data table, and sending the aggregated data table to an initiating end of the emergency reporting instruction, so that the emergency reporting and processing of Excel data are realized. The application can improve the accuracy and efficiency of the emergency reporting and processing of Excel data.

This invention relates to the field of water conservancy information technology, and discloses a digital twin knowledge platform for water conservancy flood control and disaster reduction, its construction method, electronic equipment, and storage medium. The construction method includes: constructing a digital twin scenario; constructing a heterogeneous system integration architecture; constructing the core functions of the knowledge platform, including knowledge visualization, knowledge search, intelligent question answering, intelligent recommendation, solution optimization, and service interfaces; and integrating and deploying the digital twin scenario, the heterogeneous system integration architecture, and the core functions of the knowledge platform to form a digital twin knowledge platform for water conservancy flood control and disaster reduction. This invention systematically constructs the platform from three dimensions: digital twin scenario, heterogeneous system integration, and core functions of the knowledge platform, comprehensively solving the technical problems of low scenario construction efficiency, difficult system integration, and lack of knowledge application support in the prior art, and has significant social and economic benefits.

The embodiment of the invention provides an automatic integration method and device based on a vehicle application, and relates to the technical field of automobile automatic integration, and the method comprises the steps: obtaining a basic mirror image package, an application mirror image package and an application configuration file; decompressing the basic mirror image package and mounting the decompressed basic mirror image package to a local temporary directory; decompressing each application mirror image package, and analyzing the application configuration file; according to the content of each application configuration file, creating integrated threads in one-to-one correspondence with the application configuration files, and integrating the application software files in the decompressed application mirror image package to obtain an integrated mirror image; verifying the integrated mirror image software version to generate an integrated mirror image package; compressing the generated integrated mirror image packet to obtain a compressed integrated mirror image, and uploading the compressed integrated mirror image to a server; automatic integration of vehicle applications is achieved, the integration efficiency is remarkably improved, the error occurrence rate is reduced, the development efficiency of intelligent driving domain control software is improved, and the vehicle safety is guaranteed.