41 results about "Data compilation" patented technology

The invention relates to the technical field of hydrological data reorganization, in particular to a water level flow relation fitting method based on an LSM-OF model. The method comprises the following steps: performing regression analysis on actually measured flow by using a least square method (LSM), and selecting and matching an optimal polynomial fitting equation to predict a water level flow relation curve; linear fitting is carried out on the overall sample through an orthogonal function (OF) model, and a final curve is determined; then performing alignment precision inspection and three-item inspection of symbol, line adaptation and deviation; and finally verifying the extension curve through manual alignment and analyzing errors. The method combines the advantages of LSM and OF composite models, and improves the fitting precision and stability. The whole process can be automatically completed through a computer, manual subjective errors are avoided, the working efficiency is improved, the method is suitable for stable water level flow relation fitting of different hydrological stations, efficient and accurate technical support is provided for hydrological monitoring and hydraulic engineering decision making, and wide practicability and innovativeness are achieved.

The invention discloses a reorganization method and device for mass underground water monitoring data, and relates to the field of data processing, and the method comprises the steps: obtaining to-be-reorganized underground water monitoring data, and carrying out the data cleaning and noise processing, and obtaining the denoised monitoring data; performing deep analysis on the denoised monitoring data by adopting a local abnormal factor algorithm, a TukeyBoxplot algorithm, an STL time sequence decomposition algorithm and an isolated forest, and determining abnormal data; obtaining an artificial discrimination result of the abnormal data; and removing abnormal data in an artificial discrimination result to obtain reorganized underground water monitoring data. According to the method, data exception identification is carried out in a machine learning mode, then marked exceptional data are further identified and judged manually, and multi-round exception processing is carried out on mass monitoring data by using a means of combining machine learning and manual identification, so that the efficiency of mass data reorganization is improved, and the quality of reorganized data is ensured.

The invention provides a harmful voice detection method in combination with side language information, and the method comprises the steps: collecting a multi-source voice sample, carrying out the preliminary screening and automatic marking of the multi-source voice data through a multi-modal model, and obtaining a preliminary marking sample; performing manual annotation and data reorganization based on the preliminary annotation sample to obtain a high-quality annotation data set, and performing audio unified preprocessing on the high-quality annotation data set to obtain standardized input; based on standardized input, self-supervised high-dimensional features are extracted, and a dual-task model topology is constructed to perform audio recognition; and for the dual-task model topology, carrying out source, category and joint capability training to obtain a joint optimization model so as to output a source label and a type label of harmful information of the to-be-detected audio. According to the method, the optimal performance of a text harmful scene can be considered through high-quality multi-dimensional data support and source and category dual judgment, and the paranguage harmful detection capability is remarkably improved.

The invention relates to the field of water conservancy, and particularly provides a water conservancy industry monitoring data reorganization and analysis system and method, a terminal and a medium, and the method comprises the steps: accessing a data collection module to a structured data source and a real-time message queue, and obtaining original time-space monitoring data; the template management module configures a classification and grading rule, a data element label and a confidence coefficient calculation formula; the data evaluation module calculates a confidence coefficient based on a standardization rule and marks abnormal data; the data reorganizing module supplements missing and abnormal data through an interpolation algorithm or a statistical method; and the data calculation module fuses the multi-source data and outputs a real-time statistical result. The algorithm management module dynamically recommends an adaptive algorithm, the report generation module automatically generates a visual report, the data sharing module provides API service, and the data monitoring module realizes quality control and early warning. The water conservancy monitoring data quality, the analysis efficiency and the decision support capability are improved.

To make it possible to prepare procedural documents for annual renewal of labor insurance more efficiently. [Solution] The system is equipped with a database that holds wage data, which is data on wages including salaries, and a compilation means that creates data on documents required for labor insurance annual renewal procedures (hereinafter referred to as "procedure document data") based on the wage data, and the compilation means solves this problem by using an information processing system that automatically creates the procedural document data when the salary or bonus at the end of the insurance year at each workplace to which labor insurance applies is determined.

The application discloses a road data processing method and related device, N sampling points are sequentially sampled on a road line according to road direction, and at least one non-attribute change point is included between two adjacent attribute change points. The attribute change point as the sampling point carries lane change information, which identifies the increase or decrease number of the lane at the attribute change point relative to the adjacent non-attribute change point. An optimization function is constructed based on the road width corresponding to the adjacent sampling points. In the data compilation process, the width difference between the attribute change point and the adjusted road width of the adjacent sampling point after the road width of the sampling point is adjusted based on the optimization function can conform to the difference in the number of lanes, so as to form a road shape parameter and display the road in an electronic map. When the number of lanes of a road changes, the corresponding lane width can also increase or decrease with the change in the number of lanes, effectively improving the road display precision of the electronic map.

The present invention discloses a control data processing method and processing device containing data compilation commands, including: a host receives a second data compilation command sent by a first device; the host receives a second data reading command sent by the first device; the host stores the second data compilation command and the second data reading command in a buffer; if the host's memory controller determines that the second read purpose is to read original data based on a second read purpose identifier; if the host's memory controller determines that the second read purpose is to read current data based on the second read purpose identifier.

The application provides a kind of urban water digital asset data quality comprehensive evaluation method, from multiple aspects, data quality evaluation calculation is carried out, finally, the weighted calculation of each evaluation obtained sub-item is carried out, and the comprehensive evaluation coefficient is obtained.The urban water digital asset data quality comprehensive evaluation method provided by the application is investigated from multiple aspects, the original water digital asset data is comprehensively sorted and calculated, the performance in each aspect is determined, and finally a comprehensive evaluation is obtained, which can provide a basis for subsequent data compilation and cleaning, can greatly improve the cleaning efficiency and cleaning effect of water digital asset data, and provide a data basis for informatization water management.

The invention belongs to the technical field of engineering cost dynamic index calculation, particularly relates to an algorithm for calculating an engineering cost dynamic index, and aims to solve the problems that the existing static cost index cannot reflect the influence of market condition change and technical progress, is difficult to be used for long-term planning and decision making, and cannot reflect the difference of engineering cost indexes and rates in different regions. In order to solve the problem that project data cannot be reused under the condition of large material and labor cost difference in the prior art, the invention provides the following scheme: the method comprises the following steps: S1, preparing a computing system which comprises a data acquisition module and a database module, the data acquisition module is connected with an engineering project data module and a data arrangement module, and the database module is connected with the engineering project data module; according to the method, reference can be provided for investment decision-making of proposed projects with similar or similar construction standards in the use process, adjustment can be performed according to market conditions of different time points and different regions, price differences can be reflected, and project cost estimation is more accurate.

The invention discloses a flood event segmentation and feature extraction method and device, and the method comprises the following steps: obtaining basic time flow data related to flood, and carrying out the data standardization and time granularity unification processing of the basic time flow data; setting a dynamic flood threshold value, and screening the data set according to the dynamic flood threshold value; performing space-time expansion detection on the flood event; overlapping adaptive merging is carried out on the flood events; and displaying a result through a multi-dimensional flood characteristic quantitative model. According to the technical scheme provided by the invention, a scheme for automatically dividing flood processes and sessions can be provided for flood characteristics of different drainage basins, the flood sessions are adaptively divided, and the segmented flood processes are subjected to characteristic quantification, so that the flood sessions correspond to rainfall periods, and reorganization of flood data and rainfall runoff flood correlation research are facilitated.

This application discloses a data processing system and method, a data application system and method, and a power system, belonging to the field of power data processing technology. The data processing system includes: a data acquisition module for acquiring a target dataset representing the characteristics of at least one power device, and obtaining a knowledge graph representing the characteristics of at least one power device from the target dataset; a data processing module for converting the knowledge graph according to a predefined standardized data format to obtain standardized device data models representing the characteristics of at least one power device; and a data compilation module for compiling each standardized device data model based on preset rules to generate a model library of global device data models representing the characteristics of at least one power device. This method facilitates cross-device and cross-system data interaction and sharing, improving data interaction efficiency.

The invention discloses an industrial automation-based sheet metal production engineering data automatic compilation system, which comprises a data acquisition module, a data preprocessing module, a feature extraction module, an engineering data compilation module, a database module and a data output module, the data acquisition module is in communication connection with the sheet metal raw material detection equipment, the product design terminal, the production equipment and the production data recording device and is used for acquiring sheet metal raw material parameters, product design parameters, production equipment parameters and historical production data. According to the sheet metal production engineering data automatic compilation system based on industrial automation, various data related to sheet metal production are comprehensively acquired through the data acquisition module, and accurate and effective data support is provided for engineering data compilation in combination with data preprocessing and feature extraction technologies; and by utilizing a machine learning model and a preset process rule in the engineering data compiling module, automatic compiling of sheet metal production engineering data is realized, and a large amount of manual intervention is not needed.

The present invention relates to the field of petroleum geology and is a method for improving the sweet spot drilling rate of horizontal wells by integrating seismic and geological methods in volcanic formations. The method comprises: basic data compilation, reservoir sweet spot identification, reservoir sweet spot inversion, fine velocity field construction, depth domain inversion modeling, model verification and correction, and geological guidance while drilling. The method for improving the sweet spot drilling rate of horizontal wells by integrating volcanic formation geology into the present invention is systematic and comprehensive. It can effectively improve the structural interpretation accuracy of volcanic formations with complex lithologic combinations, predict the distribution of interlayer tight oil sweet spots, reduce errors in horizontal well design, and reduce the number of adjustments during drilling. It can better optimize drilling trajectories while integrating engineering technologies, thereby improving the sweet spot drilling rate and has great application potential in oilfield development.

The invention provides a document generation method and system based on XML aircraft technology data modular division, and belongs to the field of aviation technology data digital management, and the method comprises the following steps: S1, determining top layer elements; s2, performing result matching; comInfgt, comInfgt; dividing data of the elements by adopting a tree structure; s3, performing result matching; preRqmtsgt, and preRqmtsgt Dividing data of the elements by adopting a tree structure; s4, performing tilt matching; the method comprises the following steps: carrying out maProdugt; dividing data of the elements by adopting a tree structure; s5, performing tilt; cloRqmtsgt, cloRqmtsgt; determining lt by an element application stage specific condition model; cloRqmtsgt, cloRqmtsgt; elements serve as uniqueness of ending working condition information; and S6, calling the target sub-elements based on the elements required by the target document, and generating the target document. Through the XML language-based structured division step, the accuracy and the processing efficiency of the data are improved, and the complexity of data compilation is reduced.

1. Name of the product of this design: Computer with a graphical user interface for online data compilation function. 2. Purpose of this design product: used for display interface. 3. The design key points of this appearance design product are: the graphical user interface content. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The computer is of conventional design and other views are omitted. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: used for online compilation of data based on construction project data templates in the electronic archive platform. 8. The area of ​​the graphical user interface in the product: the entire area located on the computer screen. 9. Human-computer interaction method of graphical user interface: Users can perform different functional operations by clicking different areas or icons displayed on the interface with the mouse. 10. Description of the changing status of the graphical user interface: The interface shown in the main view of Design 1 is the main interface for online compilation of engineering data. Design 1 change status Figure 1 shows that the user clicks on the template in the "Template Catalog" on the left side of the Design 1 main view, clicks on the "New Single Part" template, selects the unit project to which this data belongs, and fills in the file name. Design 1 change state diagram 2 is the engineering data editing interface displayed after the user clicks “Save” in Design 1 change state diagram 1. The newly created project table is displayed on the right, which supports editing project data in an Excel-like manner. It provides functions such as generating inspection reports, generating hidden information, exporting concrete assessment to Excel, previewing and printing, etc. The interface shown in the main view of Design 2 is the main interface for online compilation of engineering data. The Design 2 change status diagram is when the user clicks on the table in the "Catalog of Already Made Templates" block on the left side of the Design 2 main view. With "Template type-Template name-Project name-Unit project-Location" as the dimensions, the tree shows the engineering data that has been compiled using this type of template, and the block on the right shows the details of a certain document. The interface shown in the main view of Design 3 is the main interface for online compilation of engineering data. The Design 3 change state diagram is when the user clicks on the "Project Directory" block on the left side of the Design 3 main view. With "Project Name-Unit Project-Location" as the dimensions, a tree is displayed showing all the compiled engineering data associated with the location, and the current status of the data. The right block shows the details of a certain document.

The invention relates to the technical field of engineering code management, and discloses a highway engineering automatic coding collaborative management system and method, and the system comprises a code generation module which is used for generating an engineering division code based on a five-level engineering division template rule, and writing the engineering division code into an alliance chain system; the task management module is used for matching tasks according to the project division codes, determining task workloads and task states, and calculating progress performance indicators and cost performance indicators; the output value statistics and freezing module is used for calculating a comprehensive risk index; the business triggering module is used for starting a quality assurance data compilation process when the task state corresponding to the project division code is changed to be accepted; and the completion judgment module is used for summarizing the task states of the tasks and the measurement payment freezing state, and automatically updating the project state to be completed when all the corresponding tasks of the project division codes are completed and no freezing record exists. According to the invention, multi-service automatic linkage and efficient management and control of highway engineering are realized.

The present disclosure provides a partial homomorphism-based data compiling method, device, equipment and storage medium, comprising: a first electronic device receiving a first ciphertext parameter sent by a second electronic device, the first ciphertext parameter being used to indicate processing of to-be-compiled data, the encryption logic of the to-be-compiled data being full homomorphic encryption, converting the encryption logic of the to-be-compiled data into partial homomorphic encryption, the converted to-be-compiled data including the first ciphertext parameter and a second ciphertext parameter generated by the first electronic device, determining an operation graph corresponding to the converted to-be-compiled data according to a preset analysis library, each operation graph in the analysis library being used to represent an operation relationship between multiple parameters, executing the operation graph corresponding to the converted to-be-compiled data according to the first ciphertext parameter and the second ciphertext parameter to obtain a data compilation result, realizing the automation and intelligence of compilation, and improving the general applicability and flexibility of compilation.

The invention relates to a data compiling method and device, a storage medium and electronic equipment, and the data compiling method comprises the steps: for obtained to-be-compiled data, obtaining compilable data and non-compilable data in the to-be-compiled data based on a preset compiling feature mapping network; querying a compilation database based on the compilable data, determining that a compilation result corresponding to the compilable data does not exist in the compilation database, and running the non-compilable data to obtain a running result; performing asynchronous compiling on the compilable data to obtain a compiling result of the compilable data; and splicing the running result and the compiling result to obtain a compiling result of the to-be-compiled data, and obtaining an estimated value of the to-be-compiled data based on the compiling result of the to-be-compiled data. The compiling efficiency can be improved.

The invention discloses an automatic well repair internal and external dual-function oil pipe detection method, which adopts a detection device and is implemented according to the following process: step 1, collecting data of magnetic flux leakage detection and transient electromagnetic eddy current detection; and 2, carrying out data arrangement, and giving a corresponding feedback result. The detection method disclosed by the invention has the advantages that 1) during automatic workover operation, two detection methods of magnetic flux leakage and transient electromagnetic eddy current are combined and adopted, so that the detection speed is ensured, and the oil pipe defect detection accuracy is also ensured; and 2) the magnetic flux leakage detection control unit can bear high pressure the same as that of automatic workover operation equipment, so that the use safety of the automatic workover operation equipment and the well control safety of a wellhead are guaranteed. And 3) the method can be used in linkage with automatic workover equipment, and can also be independently used in conventional workover operation.

The application relates to the technical field of task compilation, and discloses a task compilation optimization method, device, equipment and medium: all preset tasks in a task demand library are traversed, and feature parameters are extracted; according to a preprocessing algorithm, task collection data corresponding to the same preset task is simplified to obtain a simplified data set corresponding to each preset task; according to an instruction module corresponding to the feature parameters, all the simplified data in the simplified data set is subjected to data compilation to obtain data compilation information corresponding to each preset task; and according to a preset mapping model and real-time state data, the data compilation information is subjected to optimization processing to obtain task compilation optimization information corresponding to each preset task. The application is applied to a financial scene and a medical scene. Different tasks are respectively optimized in a targeted manner, the flexibility and efficiency of optimization are improved, and the efficiency and precision of compilation are improved.

Disclosed are a data encapsulation device and a data encapsulation method. The data encapsulation device includes a storage device and a processor. The storage device is configured to store multiple modules. The processor is coupled to the storage device and is configured to execute multiple modules. A model building module obtains a corresponding encapsulated data and a compiler based on a dataset. A knowledge assembly module receives the encapsulated data to generate component data and associated data based on the encapsulated data. The knowledge assembly module assembles multiple component data into a component dataset based on a combination command. A compilation module executes a data compilation process through the corresponding compiler to generate executable data based on the component dataset.

This disclosure relates to a map data processing method, apparatus, device, and storage medium. The method includes: determining initial map data elements in response to a target operation instruction during the map data production stage; determining a target compilation module based on the initial map data elements and the corresponding target element relationships; and invoking the target compilation module to compile map data for the initial map data elements and the associated map data elements corresponding to the target element relationships, generating product map data elements. This achieves map data compilation for local map data elements, improving the efficiency and real-time performance of map data compilation; furthermore, it allows the compilation of local map data elements to be performed before the map data production stage or the map data master library stage, greatly improving the flexibility of map data compilation.

The present application relates to the technical field of automation scheduling, and particularly relates to a method for realizing automatic scheduling of coal gas based on a coal gas prediction model. The method comprises the following steps: obtaining furnace area sensing data, and performing data compilation processing to obtain structured data of the furnace area; analyzing the temperature variation amplitude and pressure distribution of each furnace area according to the structured data of the furnace area; identifying the furnace temperature jump point of each furnace area by using the temperature variation amplitude of each furnace area; calculating the working time proportion of the furnace temperature jump point of each furnace area, and identifying a high-proportion furnace body; restoring the furnace gas flow velocity vector field according to the temperature variation amplitude and pressure distribution of the high-proportion furnace body, and calibrating the instantaneous pressure loss mutation path to obtain a coal gas main network physical abnormal path; calculating the coal gas scheduling capacity state according to the pressure distribution of the furnace area to obtain the actual scheduling structure of the coal gas main network; and screening a feasible gas distribution scheme for the coal gas main network physical abnormal path. The present application is helpful to improve the operation efficiency and adaptability of the coal gas main network operation.

The present invention relates generally to a system and method for reviewing and evaluating performance. In particular, the present invention relates to a system, method, and computer program produce for reviewing and evaluating performances of an official or group of officials at an event or events. Even more specifically, according to embodiments of the present invention, the system and method can involve reviewing and evaluating an official or group of official's performance during a sporting event or events, such as a football game or games or a basketball game or games.

A method for reducing residual unbalance of a spindle (10) in a numerically controlled machine tool, the spindle (10) being designed to hold a tool (20) fastened to it by a tool holder. The method includes a data acquisition phase in which at least two measurement operations are carried out; the spindle (10) and the tool (20) are arranged at different angles relative to each other, and in each of which the spindle (10) is rotated and the vibrations to which the spindle (10) is subjected are measured and recorded in a database. The target angular position of the spindle (10) relative to the tool (20) is determined from the database compiled from the measurements and the spindle (10) and the tool (20) are oriented relative to each other according to the target angular value.

A method is provided where the method consists of collecting data on telephone communications carried out over a given study period pertaining to roaming and / or interconnection, creating data files for exchange data compilation for each studied number, reevaluating communications based upon pre-established reevaluation rules to obtain a wholesale cost amount for each studied number, identifying suspicious numbers based on wholesale costs exceeding a predetermined threshold value, and detecting fraudulent use by analysis of the compiled exchange data in the created files and / or multi-parametric indicators obtained from the data.

To provide a data tabulation technology of patrol work of a construction cooperation association.SOLUTION: A web server, a cloud server and a terminal construct a network of data tabulation information of patrol work of a construction cooperation association, data of the patrol work is managed by online, and a patrol data tabulation table is created by an automatic character input utilizing an artificial intelligence (AI). An efficient and quick patrol data tabulation work of the construction cooperation association is achieved by mounting a data correction function on both a prime contractor and a construction shop.SELECTED DRAWING: Figure 1

The present disclosure describes a sensor interface (SIF) system placed between sensor sources and signal processors. A SIF system can include a sensor interface queue (SIFQ) coupled to a first sensor source and a second senor source, and further coupled to a first data assembler and a second data assembler. The SIFQ can include a first queue to store a first set of data packets received from the first sensor source, and a second queue to store a second set of data packets received from the second sensor source. The first set of data packets and the second set of data packets can share the same data packet format. The first data assembler can assemble the first set of data packets into first data in a first frame format, and the second data assembler can assemble the second set of data packets into second data in a second frame format.

The present application discloses a joint compilation optimization method, device and medium for heterogeneous computing, which relates to the field of data compilation. The method includes: obtaining source code; cutting the source code based on keywords to obtain code modules corresponding to the host side and the device side respectively, and mapping the code modules to obtain corresponding intermediate representations; independently optimizing the corresponding intermediate representations according to the compilation optimization stage set in the compiler; jointly compiling the independent optimization results; running the code based on the joint compilation results, and automatically tuning based on the feedback running results until the final executable file is generated. A cost evaluation model is established through multiple dimensions, and nonlinear factors are introduced to characterize the influence of bandwidth and computing resources, which more realistically reflects the influence of various factors on cost. A greedy algorithm is used for iterative search to ensure the optimization of the final program performance.