26results about How to "Improve integration efficiency" patented technology

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 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.

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 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.

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 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.

The present application belongs to the field of microbial metabolic engineering and industrial microorganism technology, and particularly relates to a method for stably integrating exogenous DNA into Pseudozyma roseolata, an iterative gene editing method and application thereof. The preservation number of the strain MYL-2 is CCTCC M 20252968, and the strain can efficiently accumulate oil under nitrogen-limited culture conditions, the main fatty acid components in the cells are C16-C18 fatty acids, and the strain has application potential as a microbial oil production strain. The present application provides a method for stably integrating exogenous DNA into Pseudozyma roseolata, and constructs a recombinant expression vector pNFH-loxp-RAD51 and a Cre recombination vector containing a loxP site, and for the first time, precise removal and repeated use of a screening marker mediated by a Cre-LoxP system are realized in the strain, thereby laying a foundation for multi-round gene editing and efficient engineering modification of the strain.

This invention relates to a method and system for constructing a database of wild rice introduction lines. The method includes: acquiring raw genotype data, sample metadata, and phenotypic data of individual samples from multiple wild rice introduction line populations, where the sample metadata includes a sample number; parsing and identifying the raw genotype data to determine the fragment location, fragment type, and fragment length of the wild rice introduction fragment, thus obtaining the corresponding genotype data; and, based on the sample number, associating and integrating the genotype data, sample metadata, and phenotypic data to generate a structured dataset. This structured dataset is then used to construct a database corresponding to multiple wild rice introduction line populations, improving the integration and correlation of wild rice introduction line data, promoting the collaborative utilization of genetic resources, facilitating the sharing of genetic resources among wild rice introduction line populations, and enhancing the interoperability and value of scientific research resources.

The invention provides an unmanned aerial vehicle routing inspection route mapping method based on 3D Gaussian point cloud. The method comprises the following steps: planning a routing inspection route of an unmanned aerial vehicle; the inspection route of the unmanned aerial vehicle is mapped and bound to a 3DGS digital twinborn model of the transformer substation; acquiring a spatial position and an airborne video stream of the unmanned aerial vehicle in the inspection process according to the inspection route, and transmitting the spatial position information of the unmanned aerial vehicle and the airborne video stream of the unmanned aerial vehicle in real time; and receiving the spatial position information of the unmanned aerial vehicle and the airborne video stream of the unmanned aerial vehicle, and superposing and rendering the airborne video stream and the spatial position of the unmanned aerial vehicle into the 3DGS digital twin model of the transformer substation. According to the invention, the inspection condition can be fed back in real time, the integration efficiency of the airborne video stream and the three-dimensional model of the unmanned aerial vehicle is improved, delay and errors are reduced, and accurate linkage of the visual angle of the unmanned aerial vehicle and the digital model is realized.

The invention discloses a cross-platform omics data integration and standardization method and system based on a depth auto-encoder, and belongs to the field of bioinformatics and computational biology, and the method comprises the steps: receiving cross-platform omics data and quality evaluation; correcting the batch effect by using platform information as a condition and introducing a condition variation self-encoder for resisting loss; fusing multiple omics data into a shared hidden space through a multi-head encoder and an attention mechanism; carrying out missing value filling and enhancement on the fused data based on the generative adversarial network; and outputting the standardized data and evaluating the quality. According to the method, the problems of nonlinear batch effect correction, multi-modal deep fusion and missing value intelligent processing in cross-platform omics data integration are effectively solved, and high-quality automatic data integration and standardization are realized.

The invention is applied to the field of logistics management, and discloses an intra-city delivery service provider scheduling method and system, and the method comprises the steps: obtaining real-time heterogeneous service data of each delivery service provider and real-time context data corresponding to an intra-city delivery request in response to the intra-city delivery request; performing protocol conversion on each piece of real-time heterogeneous service data to obtain standardized distribution service data; splicing the standardized distribution service data with the real-time context data to generate distribution feature vectors corresponding to distribution service providers; inputting each delivery feature vector into a pre-trained scheduling decision model, screening a target delivery service provider based on a model output result, and generating a standard scheduling instruction of the target delivery service provider; performing reverse protocol conversion on the standard scheduling instruction to obtain a target execution instruction adaptive to the target distribution service provider; and executing the target execution instruction to complete the city-wide distribution request. According to the method provided by the invention, the service scheduling efficiency is improved.

A kind of joint motor for robot dexterous hand, including dexterous hand main body, joint motor main body and motor main shaft, the output execution end of the joint motor main body is motor main shaft, the joint motor main body is installed at dexterous hand main body, the joint motor main body is used to control dexterous hand main body operation;Heat conduction unit, the heat conduction unit is installed on the outside of joint motor main body, the heat conduction unit is used to carry out heat dissipation treatment to joint motor main body.The cooling assembly of the present application forms cooling liquid flow channel, the cooling assembly is wrapped in the outside of joint motor main body, carries out heat dissipation treatment to joint motor main body, simultaneously, the heat in joint motor main body is exported by heat transfer component, the heat at heat transfer component can be dissipated by the airflow formed by cooling assembly and dexterous hand, further improve the heat dissipation effect of joint motor main body.

The invention provides a high-insulation dual-channel photoelectric coupling device packaging structure, which comprises a shell, two transmitting assemblies and two receiving assemblies, and is characterized in that the two transmitting assemblies and the two receiving assemblies are symmetrically arranged on the two sides of the shell respectively; each of the two transmitting assemblies comprises a transmitting end pin and an LED light-emitting chip. According to the high-insulation type dual-channel photoelectric coupler packaging structure provided by the invention, through mutual cooperation of the shell, the two transmitting assemblies, the two receiving assemblies and other structures, when the high-insulation type dual-channel photoelectric coupler packaging structure is used, the two transmitting assemblies and the two receiving assemblies are symmetrically arranged to form two independent channels, and two paths of electric signals can be synchronously transmitted; the shell guarantees signal transmission and insulation isolation, and a plurality of single-channel devices do not need to be combined, so that the problem that a traditional single-channel device is poor in multi-signal transmission adaptability is solved, the occupied space and the assembly cost of a circuit board are reduced, the transmission synchronism and stability of two paths of signals are guaranteed, and the integration efficiency of a complex circuit is improved.

The invention provides a prediction method and system for regulating and controlling an electric vehicle charging pile based on a micro-grid, and the method comprises the steps: S1, collecting multi-source heterogeneous data through a micro-grid cooperative communication interface, and carrying out the data preprocessing; s2, acquiring multi-source heterogeneous data after data preprocessing, inputting the multi-source heterogeneous data into the constructed load prediction model, and performing local prediction to obtain a charging load prediction result; s3, the charging load prediction result is uploaded to the micro-grid EMS, and a charging and discharging scheduling instruction is generated in combination with the real-time operation state of the charging pile and is issued to the electric vehicle charging pile; s4, the electric vehicle charging pile executes the charging and discharging dispatching instruction through a bidirectional power module, and charging power or reverse discharging power adjustment is achieved; the method achieves the adjustment of charging power or reverse discharging power, improves the prediction precision, strengthens the new energy consumption capability, accelerates the response speed, strengthens the stable support of the microgrid, breaks the protocol barrier, improves the integration efficiency of the system, and optimizes the economic benefits.

The application provides an agricultural drought and flood disaster influence evaluation system based on multi-source data fusion, and belongs to the field of disaster evaluation; the problem of low agricultural drought and flood disaster evaluation efficiency is solved; specific modules are as follows: a data acquisition module: multi-source data of a target area is acquired; a historical record analysis module: spatial distribution or time variation law of rainfall in the target area is analyzed, and whether the rainfall is normal is judged in combination with the multi-source data; if not, the relevant departments are notified; if normal, whether the target area has a drought or flood risk is judged; if there is a risk, the occurrence time and duration of the drought or flood are predicted; if there is no risk, no processing is performed; an economic influence analysis module: whether the planting area of each crop in the target area has a drought or flood risk is judged; if not, no processing is performed; if yes, the harvesting time of the crop is temporarily determined; the application estimates the drought or flood disaster risk by analyzing the rainfall data of the target area, and reduces agricultural losses.

This invention relates to a cardiovascular health management method and system that integrates a smartwatch and a WeChat mini-program, comprising: (1) the smartwatch collects real-time cardiovascular-related physiological and behavioral data from the user and transmits it to the WeChat mini-program in a standard format using 4G IoT communication technology; (2) the WeChat mini-program provides multi-dimensional user interaction functions, including health behavior check-in, health knowledge learning, and community communication and interaction; (3) through the two-way linkage between the smartwatch and the mini-program, a closed-loop cardiovascular health management process of "data collection - interactive participation - professional intervention - effect tracking - plan optimization" is constructed to achieve full-cycle digital intelligent management of the user's cardiovascular health. It can achieve efficient and stable data interoperability between the smartwatch and the WeChat mini-program, comprehensively meet the user's full-cycle cardiovascular health management needs, provide precise and real-time health management solutions, and improve the user's long-term participation compliance.

The invention provides a pole piece processing device, and relates to the field of pole piece processing. And the unwinding device and the winding device are matched to drive the pole piece, so that the pole piece is conveyed on the pole piece processing device along a preset path. The machining platform comprises a plurality of supporting rollers and at least one adsorption part, and the multiple supporting rollers are arranged on the rack and are sequentially arranged at intervals in the first direction to form a first supporting face used for bearing the bottom face of the pole piece. The adsorption pieces are arranged between every two adjacent supporting rollers and provided with adsorption working faces, and the adsorption working faces are lower than the first supporting faces. The laser assembly is located on the side, away from the adsorption part, of the pole piece and used for machining the surface of the pole piece. A vacuum adsorption cavity is formed in the side, deviating from the pole piece, of the adsorption piece, a plurality of adsorption holes are formed in the adsorption piece, and controllable negative pressure is formed at the adsorption holes in the vacuum adsorption cavity under the action of an air extractor so that adsorption force can be applied to the bottom face of the pole piece, and the pole piece is prevented from vibrating in the machining process. The device is high in integration efficiency and has high machining efficiency.

This invention discloses a system and method for constructing earthquake-themed scenarios based on multi-source 3D GIS data, belonging to the field of 3D geographic information system technology. It aims to solve the technical problems of data silos, limited information display, delayed data updates, and lack of end-to-end connectivity in earthquake emergency response. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. The method involves building a basic 3D GIS emergency scenario, aggregating multi-source earthquake data, achieving spatiotemporal data fusion and event correlation, and completing integrated 3D display and decision support. This enables unified spatiotemporal fusion and real-time dynamic updates of earthquake data across all dimensions, as well as 3D visualization and spatiotemporal simulation of the entire pre-earthquake, during-earthquake, and post-earthquake chain. This provides global and three-dimensional decision support for earthquake emergency command, significantly improving the efficiency, accuracy, and systematic nature of earthquake emergency response.

The invention relates to the technical field of financial semantic analysis, and discloses a financial cross-institution field automatic matching method based on semantic analysis, which comprises the following steps: acquiring a financial cross-institution multi-source data set, performing field standardization processing on an external data set in the multi-source data set, and then aiming at the external data set after standardization processing, performing field matching on the external data set after standardization processing. The method comprises the following steps: extracting a semantic vector of each field, calculating an overall semantic vector representing semantics of each field, and then calculating a comprehensive matching score between an external field and an internal standard field by adopting a weighted fusion algorithm based on three indexes of the overall semantic vector, fusion word vector cosine similarity, edit distance similarity and financial service label similarity; and then according to double-confidence threshold grading, confidence matching is realized, and finally, a structured matching result and a corresponding basis are output. According to the method, the data fields of different sources can be automatically mapped to the predefined internal standard fields, so that manual intervention is reduced, and the data docking efficiency and accuracy are improved.

The invention discloses an integration method and tool for a laser communication optical-mechanical system, and solves the problems of low precision and low efficiency of an existing docking method of a relay optical module, a two-dimensional turntable module and a telescopic optical module. According to the structural characteristics of a laser communication optical-mechanical system terminal and the characteristic that a relay optical module is coaxial in receiving and transmitting, the visual integration of the three modules can be completed through the same integrated optical path by means of an integrated tool by utilizing the rotation principle of a precise two-dimensional turntable module and the optical auto-collimation center penetrating principle, and the visual integration of the three modules is realized. According to the integration method, the calibration procedure of the two-dimensional rotary table module shafting is omitted, the butt joint procedures of the three modules are fused together, meanwhile, the visual integration method is achieved, the integration efficiency is improved to two times of the original integration efficiency, and the adjusting precision is greatly improved.

This invention discloses a construction project information integration management system and method based on an AI model, belonging to the field of construction project information integration management technology. The invention includes a construction project information filtering module, a construction project information integration module, an abnormal building characteristic value prediction module, a construction project quality assessment module, and a construction project management module. The construction project information filtering module is used to filter out heterogeneous data from various construction project sub-projects. The construction project information integration module is used to obtain the heterogeneity index of each construction project sub-project. The abnormal building characteristic value prediction module is used to predict the abnormal building characteristic values ​​of each construction project sub-project. The construction project quality assessment module is used to assess the real-time construction quality of each construction project sub-project. This invention selectively calls construction parameters for each construction project sub-project, reducing the workload of the system in integrating construction information and improving the system's information integration efficiency.

The invention provides an automatic corpus generation method and system based on multi-source structured data, and relates to the technical field of data processing. Automatic identification and integration of a multi-source data structure are realized through an adaptive interface adapter, highly-structured and low-structured data are dynamically processed in combination with a context sensing template and a hybrid generation framework, and accuracy and consistency of output corpora are ensured based on a multi-dimensional evaluation mechanism and a term mapping table. The technical problems of difficult multi-source data integration, high manual annotation cost, professional term conversion obstacle and unstable generation quality are effectively solved, and the method has the advantages that the multi-source structured data integration efficiency is improved, the manual annotation cost is reduced, the professional term conversion accuracy is ensured, and the generated corpus quality stability is improved.

The utility model relates to the technical field of poe switches, and discloses a poe switch powered by a lighting network cable, which comprises a bottom support table, an external protective cover and a poe mainboard module, the top surface of the bottom support table is fixedly connected with the external protective cover, the inner side of the bottom support table is provided with the poe mainboard module, and the poe mainboard module is fixedly connected with the external protective cover. The back surface of the poe mainboard module is fixedly connected with a back side power supply communication table, and the back surface of the back side power supply communication table is provided with power connection grooves of different specifications; the internal buffer protection assembly is arranged between the bottom supporting table and the poe mainboard module; the internal heat dissipation assembly is arranged on the inner side of the external protective cover; according to the utility model, the illumination network cable plug-in assembly is compatible with network cables of multiple specifications, the protection rotating plate is dustproof and waterproof, the rear side power supply groove is adaptive to different inputs, the outer cover and the bottom table guarantee the application to complex environments, and the integration and intelligent management of illumination and a network system are realized.

The invention discloses a cross-platform Web end weighing device data acquisition and instruction interaction method and system, and relates to the technical field of data interaction, and the method comprises the steps: deploying a cross-platform server program, and building communication connection with at least one weighing device and at least one read-write card through a hardware adaptation layer; user configuration is carried out on the server side, and a weighing device or a card reader-writer is adapted; and monitoring and analyzing the real-time data stream according to user configuration information, pushing the real-time data stream to the Web client after standardization processing, receiving a card reading and writing instruction from the Web client, sending the card reading and writing instruction to the card reading and writing device, and feeding back a card reading and writing operation result. The technical problems that in the prior art, a weighing system is high in platform dependency, hardware integration and maintenance are difficult, multi-terminal data sharing is inconvenient, and a Web end cannot directly and stably access bottom hardware are solved, and the purposes that real-time, reliable and centralized interaction of weighing data instructions is achieved, and the system reliability is improved are achieved. And the technical effects of system expandability, deployment flexibility and integration efficiency are improved.

The invention discloses a C #-based SECS / GEM communication protocol implementation method and system and a computer readable storage medium, and is implemented based on a C # programming language and a. NET 8 technical framework, and the method comprises the following steps: S1, initialization: loading an equipment configuration file in an XML / JSON format, reading an equipment ID, a protocol version and a communication mode parameter, and storing the equipment ID, the protocol version and the communication mode parameter; the method comprises the following steps: initializing a protocol parser based on a. NET 8 framework, loading a SECS / GEM parsing rule of a corresponding version, meanwhile, initializing a communication interface, completing pre-configuration of a bottom layer communication channel, and establishing a binding relationship between equipment parameters and the parser and between the equipment parameters and the communication interface; s2, establishing connection; s3, core layer processing: on the basis of the communication link established in S2, executing three-layer cooperative processing of a protocol analysis layer, an equipment management layer and a communication interface layer; s4, performing session management; and S5, performing exception handling. The method has the advantages of being good in cross-platform compatibility, high in development efficiency, high in communication concurrency performance reliability, excellent in flexibility and expansibility, low in deployment cost, convenient to operate, maintain and diagnose faults and the like.