101results about How to "Improve data consistency" patented technology

The invention provides a semiconductor equipment data acquisition method and a semiconductor equipment data acquisition system supporting standardized communication transformation, which are used for realizing data acquisition and process control on different types of semiconductor equipment, formulating corresponding communication rules for equipment conforming to a communication standard, and converting an equipment communication protocol by a cluster system so as to match a standard interface. For equipment which does not completely meet the standard but can realize communication through programming, the trunking system directly acquires required data and converts the required data to meet the standard interface specification. For equipment without communication capability, data is acquired through an equipment interface by adopting an image recognition technology, data input and function operation are realized through simulating keyboard and mouse operation, and finally, protocol conversion from data to a standard interface is completed by a cluster equipment control system. And the equipment data is converted into a message data packet conforming to a standard semiconductor equipment communication interface, so that docking with a semiconductor equipment data analysis and process control system is realized, and the production efficiency and quality of the semiconductor equipment are improved.

The invention discloses a visual inspection information acquisition device and method based on a horizontal included angle calibration image, and belongs to the technical field of machine visual inspection, the device comprises an industrial camera with a zoom lens, a holder device, a fixing device, a laser ranging sensor assembly, a signal acquisition synchronizer and an image automatic calibration module; wherein the industrial camera is used for capturing a surface area image of a measured structure; the laser ranging sensor assembly is used for determining a horizontal included angle formed between the camera lens axis and the surface normal of the measured structure; the signal acquisition synchronizer is used for ensuring data acquisition consistency between the camera and the laser distance measuring sensor assembly; and the image automatic calibration module is used for correcting distortion of the image captured by the camera due to the horizontal included angle to obtain a corrected image. By adopting the technical scheme of the invention, the accuracy of the image data can be ensured, so that the health detection and monitoring efficiency and precision of the engineering structure are improved.

The invention discloses an electric power project risk prediction method and system based on data mining, and relates to the technical field of electric power project risk prediction.The method comprises the steps that electric power project data are collected, the electric power project data are preprocessed, key features influencing project risks are extracted, and feature vectors are established; constructing an electric power project risk prediction model, and performing risk prediction analysis on the electric power project based on the feature vector; and taking a part of areas with risks as nodes to form a topological graph, identifying key paths and bottlenecks, and formulating corresponding resource allocation strategies. According to the method, the electric power project risk prediction model is constructed based on the feature vectors, risk prediction analysis is carried out on the electric power project in combination with the time change trend, the accuracy and foresight of risk prediction are improved, the topological graph is formed by taking part of areas with risks as nodes, key paths and bottlenecks are identified, and the risk prediction accuracy is improved. And a corresponding resource allocation strategy is formulated, so that the security and the stability of the project are improved.

The invention discloses an intelligent security monitoring and early warning method and system for an industrial control network, relates to the technical field of network security monitoring, and can collect multi-dimensional data such as network traffic, user behaviors and equipment states in real time through a data acquisition module and a system to ensure the timeliness and comprehensiveness of monitoring. Therefore, potential security threats can be quickly identified, and the overall security protection capability is improved. And the data preprocessing module cleans and standardizes the collected data, so that the data quality and consistency are improved, a reliable basis is provided for subsequent risk assessment, and misjudgment caused by data inconsistency is reduced. And the risk assessment module calculates a comprehensive risk index through a multi-dimensional assessment formula, different types of security threats can be identified more accurately, and a scientific basis is provided for a subsequent early warning mechanism. The multi-level early warning mechanism module divides the risk into a low level, a middle level and a high level according to the comprehensive risk index, and a targeted response strategy can be realized.

The invention belongs to the technical field of whole-genome gene chips, and particularly relates to a leymus chinensis whole-genome 50K liquid chip and application thereof. According to the leymus chinensis whole genome 50K liquid phase chip, a whole genome re-sequencing technology is utilized, an SNP molecular marker combination of leymus chinensis is determined, and then the leymus chinensis whole genome 50K liquid phase chip is developed. The chip is combined with a high-density SNP probe, realizes high-throughput and high-precision genetic typing of leymus chinensis genomes, and particularly has wide application prospects in the field of molecular breeding.

The invention belongs to the field of thermostatic bath cavities, and provides a thermostatic bath cavity structure and a magnetic type surface temperature sensor calibration system. Wherein the thermostatic bath cavity structure comprises a stirring cavity and a working cavity which are mutually independent; connecting channels are arranged at the upper parts and the lower parts of the stirring cavity and the working cavity; a temperature sensor is arranged in each connecting channel and is used for detecting the temperature field change condition in the stirring cavity and transmitting the temperature field change condition to the controller; the top of the working cavity is connected with a sunken flange plate, a working surface is arranged in the sunken flange plate, and at least two detected sensor stations are distributed on the working surface; a stirring mechanism, a heating coil and a refrigerating coil are arranged in the stirring cavity; the controller is used for controlling the working states of the stirring mechanism, the heating coil and the refrigerating coil according to the temperature field change condition in the stirring cavity, so that the temperature field in the stirring cavity is uniformly maintained at a set temperature.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a GUI-Agent trajectory data generation method and system based on multi-agent collaborative reasoning. The method comprises the following steps: S1, capturing and analyzing a page state and a structure, and constructing an initial graph; s2, analyzing semantics of interactive elements based on VLM and generating an initial action instruction set; s3, executing the instruction, recording state change, automatically deducing a target intention, forming an initial track, and storing the initial track in a track pool; s4, for the current track, predicting and executing the next action according to the target and the page state of the current track, and updating the track; s5, unexplored elements are recognized, new actions and intentions are generated in combination with the VLM, and a new track is created and added into a track pool; s6, evaluating whether the action result achieves a target or not, and deciding to terminate, adjust or continue to explore according to the target; and S7, circularly executing the steps S4 to S6, performing parallel iteration processing on the trajectory pool until a termination condition is met, and outputting a trajectory data set.

The invention discloses a visual inspection information acquisition device and method based on a pitch angle calibration image, and belongs to the technical field of machine visual inspection, the device comprises an industrial camera with a zoom lens, a holder device, a fixing device, an inclination angle sensor, a signal acquisition synchronizer and an image automatic calibration module; wherein the industrial camera is used for capturing an image of a surface area of a measured structure; the inclination angle sensor is used for determining a pitch angle formed between the camera lens axis and the surface normal of the measured structure; the signal acquisition synchronizer is used for ensuring data acquisition consistency between the industrial camera and the inclination angle sensor; and the image automatic calibration module is used for correcting distortion of the image captured by the camera due to the pitch angle to obtain a corrected image. By adopting the technical scheme of the invention, the accuracy of the image data can be ensured, so that the health detection and monitoring efficiency and precision of the engineering structure can be improved.

The invention relates to the technical field of data storage, and discloses a solid state disk storage performance optimization method and system based on load balancing, and the method comprises the steps: carrying out the distributed division of a storage region; calculating the similarity of the data write-in requests, generating a write-in request queue corresponding to the data write-in requests according to the similarity, and detecting write-in request loads of the write-in request queue; generating a dynamic conversion factor of a read storage area in the storage sub-area according to the write request load, and calculating a storage weight of a write storage area in the storage sub-area; adjusting a write storage area in the storage sub-area according to the dynamic conversion factor and the storage weight, and generating an update sub-area according to the adjusted write storage area; writing the write-in data corresponding to the data write-in request in the write-in request queue into the update sub-region in batches, and detecting a storage performance optimization factor and an optimization state of the write-in update sub-region. According to the invention, the accuracy of solid state disk storage performance optimization can be improved.

The embodiment of the invention provides an archive management method and system based on big data analysis, and belongs to the technical field of data processing. The method comprises the steps of obtaining initial text data and initial image data corresponding to an initial user; performing deduplication processing on the initial text data to obtain target text data, and performing deduplication processing on the initial image data to obtain target image data; performing association relationship analysis on the target text data and the target image data to obtain a target relationship corresponding to the target text data and the target image data; performing text classification on the target text data to obtain a target type corresponding to the target text data; and performing data storage on the target text data and the target image data according to the target type and the target relationship to obtain a target storage result. The problems that in the prior art, the occupied storage space is increased and the data access and retrieval efficiency is reduced due to the fact that texts and images are often used as independent information units to be processed and an effective integration mechanism is lacked are solved.

The invention discloses an unmanned aerial vehicle multispectral image real-time radiation correction method and equipment, and relates to the field of unmanned aerial vehicle multispectral image preprocessing. The method comprises the following steps: calculating a ratio of a brightness average value of a standard reflection reference plate area on each wave band to a brightness value of a wavelength corresponding to each wave band in a solar radiation spectrum at the same time; principal component analysis is carried out on all the ratios, principal components serve as independent variables, the actual reflectivity of the standard reflection reference plate serves as dependent variables, a real-time radiation correction model of multiple regression is constructed, and the optimal principal component number is determined; and carrying a multispectral camera and a spectrograph by using an unmanned aerial vehicle, inputting the ratio of the number of optimal principal components into a real-time radiation correction model of multiple regression according to a real-time multispectral image of the field vegetation and a solar radiation spectrum, and outputting the reflectivity of the field vegetation after real-time radiation correction. According to the invention, real-time radiation correction can be carried out on the multi-spectral image of the unmanned aerial vehicle, and the data consistency of the multi-spectral image is improved.

The invention discloses a Raman-meter temperature and humidity laser radar detection system with three wavelengths and eight channels. The Raman-meter temperature and humidity laser radar detection system comprises a transmitting system, a receiving system, a data acquisition and processing system and a computer control system. Laser signals with the wavelengths of 355 nm and 532 nm are combined with a dynamic background light intensity adjusting mechanism, so that the signal sensitivity under the conditions of strong background light in the daytime and low background light at night is ensured. The light splitting module adopts a high-performance narrow-band optical filter and a multilayer medium coated dichroic mirror which are arranged at a preset inclination angle and cooperate with an achromatic lens group of the collimation system, so that efficient light beam transmission and accurate separation of multi-wavelength signals are realized, spectral crosstalk is remarkably reduced, and the system detection precision, the environment adaptability and the data processing reliability are improved; the method is suitable for all-weather and multi-scene atmosphere detection.

The invention relates to the technical field of data processing, and discloses an energy data preprocessing method, system and device. The method comprises the following steps: acquiring energy data of each equipment node, and sending the energy data to message middleware; calling message middleware to perform consumption processing on the energy data, determining consumption data, and storing the consumption data as cache data in a cache table of a database; the cache data are read and preprocessed, extracted service data are obtained, and preprocessing comprises cleaning, conversion and classification; and combining the business data according to the time dimension and the business dimension, so that the business data of the same type are stored in the same data table of the database. On one hand, query, analysis and report generation are facilitated; on the other hand, through ordered organization and storage of the data, the data access efficiency is improved, and the business expandability is also improved; and the business trend can be understood more easily, potential problems can be identified, and corresponding solutions can be formulated.

The invention relates to the technical field of big data processing and information analysis, in particular to an information analysis method based on a big data processing framework, which constructs a domain-specific knowledge graph by introducing domain expert knowledge and literature data, and constructs a graph convolutional neural network model based on the knowledge graph. Semantic analysis and relation reasoning are carried out on the unstructured data, an association rule algorithm is utilized, modes and rules among the data are found, a more valuable association analysis result is generated, and the problem that when an existing information analysis technology is used for processing the multi-source heterogeneous unstructured data, the data processing efficiency is high is solved. The problems of difficulty in data fusion, insufficient semantic understanding and insufficient relationship mining depth exist.

The invention discloses a block chain-driven urban resource data general survey processing method, and relates to the technical field of data processing, and the method comprises the steps: defining a multi-layer block chain based on the category of urban resource data, and the multi-layer block chain comprises a block mother chain and a multi-level block sub-chain; and calling urban resource historical data, and constructing a reference resource data block. And interacting a plurality of general survey data sources to obtain urban resource general survey data which comprises data category labels and node labels. And by taking the data category labels and the node labels as index constraints, establishing a mapping relationship between the census data and the multi-layer block chain, and constructing a census data mapping table. And finally, based on the mapping table, mapping the city resource census data to a chain, and generating on-chain city resource census data. Therefore, the technical effects of improving the data integration and management efficiency and improving the data accuracy and consistency are achieved.

The invention discloses a corpus standardized template construction and file automatic generation method and system, and the system comprises a template construction module, a file generation module, a verification module, a user interface module, a storage and management module, an extension and optimization module, and a quality evaluation module. The standardized management of the corpus is realized, the problem that the structure and format of the corpus lacks unified standards in the traditional method is solved, and the compatibility and sharing of the corpus are improved. Meanwhile, data cleaning, format conversion and multi-modal data integration technologies are combined, corpus files meeting template requirements are automatically generated, the data processing flow is simplified, and the risk of data inconsistency or loss is reduced.

The present disclosure relates to a method and device for identifying tectonic coal based on borehole gamma data. The method comprises: acquiring gamma curve data and mechanical drilling speed data collected in real time during the process of logging while drilling; preprocessing the gamma curve data and the mechanical drilling speed data to obtain depth sequence data; performing segmentation processing on the depth sequence data to obtain a plurality of data sample units; for each data sample unit, extracting a plurality of sample features for representing the response mode of tectonic coal from the data sample unit, fusing the plurality of sample features to obtain a multi-parameter fusion feature vector; and inputting the multi-parameter fusion feature vector into a trained machine learning classification model to obtain a classification result output by the machine learning classification model. The present scheme improves the accuracy and efficiency of tectonic coal identification.

This invention provides a method and system for semantic novelty search of scientific and technological literature based on a large-scale pre-trained model, belonging to the field of information retrieval technology. The method includes: acquiring the target user's query input text and retrieval constraints; performing preprocessing and standardization to obtain preprocessed query input text; performing multi-granularity semantic encoding fusion to determine the semantic vector of the preprocessed query input text; performing domain-adaptive fine-tuning to obtain an optimized BERT model; constructing a feature classifier to generate feature semantic representations to obtain feature semantic representation results; performing comprehensive novelty assessment to obtain a comprehensive novelty rating; and performing automated difference analysis to obtain difference analysis results. This invention solves the technical problem in existing retrieval schemes based on pre-trained models that use single-granularity semantic representations, which cannot fully capture the complex semantic structure of professional terms, resulting in inaccurate novelty search results.

The application discloses a business management and control system for the tobacco industry, and relates to the technical field of information management of the tobacco industry.The system comprises the following: a distributed event coordination bus adopts a multi-level priority queue of a publish-subscribe mode and a differentiated retry and time sequence order preserving mechanism to deliver events; a data acquisition and standardization module switches data processing modes according to network states, completes multi-source business data conflict arbitration and standardization conversion; a data state processing module checks events and updates business states based on a unified metadata model; a streaming monitoring and decision module identifies abnormalities through sliding window aggregation and dynamic threshold identification, generates abnormal instructions and business alarm events; a metadata synchronization module synchronizes metadata changes through hot loading; and a unified operation and maintenance response module executes automatic response arrangement based on events.The application realizes accurate, real-time and active management and control of the whole life cycle of the business of the tobacco industry, and improves the robustness, business efficiency, compliance level and risk response capability of the system.

The application relates to the technical field of cognitive function assessment, in particular to a cognitive assessment method and system based on eye movement test. The cognitive assessment method based on eye movement test comprises the following steps: a cognitive task covering multiple cognitive subdomains is measured on a subject in a preset order, eye movement data corresponding to each cognitive task is obtained by taking a preset interest area of each cognitive task as a spatial constraint; quality control and preprocessing are performed on the eye movement data, multi-dimensional eye movement features are extracted and standardized; each cognitive task score and overall cognitive ability quantitative score are calculated to obtain standardized individual cognitive parameters; a normal population cognitive parameter distribution is taken as a benchmark to construct a multi-cognitive subdomain parameter distribution model, a subject cognitive state is judged by combining a machine learning classification model, and a mild cognitive impairment assessment result is obtained. The cognitive assessment method based on eye movement test can comprehensively depict the cognitive state of an individual and realize multi-dimensional joint assessment.

The utility model belongs to the field of torque measurement, and particularly relates to a ball screw friction torque measuring device which comprises a base assembly, a fixing plate and a measuring assembly. A sliding groove is formed in the top of a base of the base assembly, and four mounting blocks distributed in a rectangular shape are arranged on the outer surface. A motor and an electric push rod are installed on the fixing plate. The motor transmits power through a coupler. The measuring assembly comprises a connecting block, a first clamping plate, a second clamping plate and a long bolt, the first clamping plate and the second clamping plate are embedded into the first torque sensor and the second torque sensor respectively, the bottom of the connecting block is in sliding fit with the sliding groove, and the output end of the electric push rod is fixedly connected with the connecting block. The electric push rod drives the measuring assembly to move on the sliding groove, clamping and position adjusting of the ball screws of different specifications are achieved, the double torque sensors are used for synchronously collecting friction torque data, and the measuring efficiency and reliability of the friction torque of the ball screws can be effectively improved.

The invention relates to the technical field of data processing, and discloses a method for managing a data version and realizing version rollback, which comprises the following steps of: extracting a feature main body from a same business main body information table, generating a unique identifier (blacklist), and if other associated business main bodies exist, carrying out associated storage by using the blacklist. When wrong modification occurs in a data processing process or a new version has an unpredictable problem, the previous stable version can be quickly returned, and data reprocessing is realized by returning the version, so that the data processing accuracy is improved, data chaos caused by wrong operation and new function and optimization trying do not need to be worried about, and the data processing efficiency is improved. According to the method, the development efficiency is improved, the risk of business operation is reduced, data information in the same version is quickly optimized by connecting related data information of the operateid and the blacklist in parallel, and the data consistency is improved.

The invention relates to the technical field of soil testing, and discloses a lateral pressure adjustable expansive soil expansion rate measuring device, which comprises an experiment box, a sample cylinder and a measuring module, symmetrical through holes are formed in the side wall of the sample cylinder, a lateral pressure loading system is correspondingly arranged on the outer side of each through hole, and each lateral pressure loading system comprises a rigid piston head capable of extending into the cylinder, a piston rod, a closed medium pressure cavity and a miniature constant pressure pump; the pump is connected with the pressure cavity through a pipeline, and the piston head is driven to apply adjustable lateral pressure to the sample by accurately feeding and discharging a medium; the measurement module comprises a vertical deformation and lateral pressure measurement system and integrates free expansion and lateral confinement expansion measurement functions; the rigid piston and the water medium are adopted for constant-pressure loading, the structure is simplified, operation is convenient and fast, rapid response and high-stability control over lateral pressure are achieved, the membrane embedding effect is thoroughly eliminated, a multi-stage constraint continuous test can be completed through one-time sample loading, and the test efficiency and data consistency are remarkably improved.

The present application relates to the technical field of industrial unmanned aerial vehicle application and intelligent scheduling, and particularly discloses an unmanned aerial vehicle highway inspection task intelligent planning management system, which comprises a task input module, an intelligent planning engine, a task execution management module, a data hub and a feedback optimization module; the task input module receives and checks and analyzes inspection task requirements and highway basic information; the intelligent planning engine decomposes task priorities based on highway multi-dimensional attributes, dynamically allocates unmanned aerial vehicle resources and generates an optimal path meeting multiple constraints; the task execution management module issues adaptive instructions, monitors unmanned aerial vehicle states and processes inspection data; the data hub uniformly stores whole-process data; and the feedback optimization module optimizes a decision model based on historical data. The present application improves inspection planning accuracy and resource utilization, guarantees data quality, realizes self-evolution and ensures efficient and reliable highway inspection.

The invention discloses a digital economic data acquisition system and method based on 5G communication, and relates to the technical field of electronic digital data processing. The digital economic data acquisition system and method based on 5G communication comprises the following steps: S1, collecting digital economic related data; s2, preprocessing the digital economic related data stored in the database by using an automatic detection tool; s3, performing data standardization processing on the to-be-detected digital economic related data according to the data standardization detection value; S4, performing data fusion on the to-be-fused economic related data by using an Apache Kafka technology, and storing the to-be-fused digital economic related data after data stream integration by using a data lake technology of Apache Hadoop and Amazon S3; and S5, making corresponding optimization processing measures according to the data fusion detection value. The problem that in a traditional digital economic data acquisition system based on 5G communication, data is difficult to fuse due to diversity of data sources and heterogeneity of data formats and types is solved.

The present application relates to a kind of additive manufacturing process crack real-time monitoring method, device, equipment and medium, comprising: S1.in the additive manufacturing process, the laser radiation signal for forming piece is collected in real time and conversion, and the converted electric radiation characteristic signal is handled, and the radiation signal thermogram of forming piece is obtained;S2.to the forming piece simultaneously carries out CT scanning and obtains image data, and after processing, crack characteristic distribution chart is obtained;S3.radiation signal thermogram and crack characteristic distribution chart correspond with the layer number of forming piece, and the radiation signal crack characteristic data set corresponding to layer by layer point by point is obtained;S4.data set is used to train machine learning or deep learning model, and crack determination model is obtained;S5.crack determination model is used for online monitoring to carry out crack identification.The method of the present application can form the radiation signal crack database corresponding to layer by layer point by point in three-dimensional space, and the data consistency and migratability are improved.

The application discloses an interactive method for quickly adding a recurring schedule in a waterfall month view. The method involves the following steps: providing a schedule template selector, performing schedule drop, conflict detection and prompt, and differential submission and server verification in the waterfall month view. The application provides a schedule template selector in the user interface, displays a plurality of predefined schedule templates, selects at least one schedule template from them, applies the schedule template to the corresponding date to generate a schedule instance and performs a preview in response to the user's operation on the date grid, performs conflict detection and prompt during the preview, and submits the data to the server in response to the user's submission operation. The application improves the accuracy and efficiency of the interactive operation process of quickly adding a recurring schedule in a waterfall month view, and solves the problems of incoherence, low efficiency and high error rate in the prior art.

A dynamic statistics and result analysis system for watershed river and lake shoreline development and utilization comprises a remote sensing data acquisition module, a data preprocessing and classification module, a database construction module, a change trend analysis module, a river and lake directory and association retrieval module and an interaction management module. The data preprocessing and classification module is used for data preprocessing and statistical classification, the database construction unit is used for constructing a system database, the variation trend analysis module is used for variation trend analysis and statistical report generation, and the river and lake directory and association retrieval module is used for directory maintenance and result association. According to the dynamic statistics and result analysis system for watershed river and lake shoreline development and utilization, a remote sensing data statistical classification algorithm based on a neural network is proposed to classify remote sensing data; and a river-lake shoreline development and utilization change trend analysis algorithm based on deep learning is proposed to analyze the change trend.

The invention discloses an unstructured data report filling method and system based on a large language model, and belongs to the technical field of artificial intelligence, and the method comprises the steps: preprocessing unstructured data, and generating preprocessed unstructured text data; based on the preprocessed unstructured text data, constructing and executing a semantic structured extraction chain; field mapping and report template binding are carried out based on the constructed semantic structured extraction chain, and a field mapping rule is established; based on a field mapping rule, automatically generating and filling a report, and automatically generating the report according to the extracted structured data; and interpretable proofreading and manual auditing are carried out on the automatically generated report. According to the method, implicit information can be accurately extracted, and semantic inference and association are supported; automatic report filling is achieved, and the manual arrangement workload is remarkably reduced; and the output is explainable, and each field can be positioned to the original text, so that the auditing credibility is improved.

The invention provides a document synchronization method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining first document content of a to-be-synchronized target local document, and obtaining a document content version of a target cloud document corresponding to the target local document in current cloud storage; second document content is determined based on the document content version, and a first document change operation set is determined according to the difference between the first document content and the second document content; generating a first document synchronization instruction according to the first document change operation set; and sending the first document synchronization instruction to the target server, so that the target server updates the content of the target cloud document based on the first document synchronization instruction. Only the change data is transmitted to the server, redundant data and meaningless time consumption generated by full-amount synchronization are reduced, the change operation is re-determined based on the document content indicated by the cloud document version, data loss or coverage errors of the cloud document are avoided, and data consistency and integrity in the data synchronization process are improved.