11results about How to "Improve data acquisition efficiency" patented technology

The invention relates to the technical field of data processing, in particular to a report generation method and device based on a large model and electronic device.According to the report generation method and device based on the large model, report generation information input by a user is obtained, a target data model needing to be queried and query conditions are accurately positioned, and an SQL query statement is automatically generated through the large model debugged through a business model; the target data model is directly queried, the data required by the report is quickly obtained, and after the user instruction is received, the large model immediately generates the target report, so that the instantaneity requirement of the service is met, and the report can be ensured to flexibly adapt to the data analysis requirement of a new service scene; and the intelligence level and the service adaptability of report generation are integrally improved. According to the report generation method based on the large model, flexible and changeable data requirements of services can be quickly responded, the data obtaining and processing efficiency is improved, the data analysis requirements of new service scenes are effectively met, and therefore the data report generation problem in the prior art is solved.

The present application discloses a photovoltaic power station layout method and system based on the results of three-dimensional design of transmission lines. The method includes: obtaining information in the power grid information model file of the transmission line, and filtering out the initial transmission line section for arranging the photovoltaic power station according to the information; calculating the slope and slope direction of the section according to the terrain information and elevation information, and judging whether it meets the terrain conditions for arranging the photovoltaic power station; judging whether the light radiation intensity of the section meets the light resource conditions; calculating the spacing and inclination of the photovoltaic components; simulating the arrangement of the photovoltaic component array according to the setting information and spacing of the transmission line corridor; performing shadow simulation to judge whether the shadow occlusion rate of the section meets the construction requirements; judging whether the vertical distance between the top of the photovoltaic component and the conductor meets the safety distance; judging whether the electromagnetic environment of the section meets the safety induced voltage conditions, and if so, arranging the photovoltaic power station in the section. The method improves the applicability and economy of the photovoltaic power station layout.

This invention proposes a two-stage super-resolution reconstruction method and system for three-dimensional downscaled wind fields in bridge sites with complex terrain. First, the invention utilizes a WRF model and explicitly enables large eddy simulation to construct a high-fidelity training set. To build a spatially three-dimensional reconstruction result, the invention extracts dynamic meteorological sequences and static geographical features for different feature height layers. After filtering out invalid regions using a mountain occlusion mask matrix, three parallel cascaded reconstruction models are independently trained to significantly improve the real-time performance of data acquisition. The model training innovatively integrates terrain-forced physical loss and frequency domain energy constraints. Finally, the two-dimensional reconstruction results from each height layer are combined in vertical space to construct a high-precision three-dimensional microscale meteorological field ensemble, providing reliable technical support for three-dimensional wind energy resource assessment and bridge health monitoring in complex terrain.

The invention provides a software quality measurement method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a measurement demand index of a user for the quality of target software; determining a software measurement parameter for measuring the quality of the target software according to the measurement demand index; according to the software measurement parameter, determining a tool deployment relationship for measuring the target software, the tool deployment relationship being used for indicating an association relationship between a tool for realizing the software measurement parameter for measuring the target software and a measurement demand index; and capturing target data based on the tool deployment relationship and the software measurement parameters, and determining a software quality measurement result of the target software according to the target data. According to the method and the device, the measurement requirement of the target software can be butted with different software management tools, so that the software measurement is prevented from excessively depending on a certain tool, and the data acquisition flexibility and the data acquisition efficiency are improved.

A ship navigation environment information acquisition system provided by the present invention relates to the technical field of marine ship operation assistance, and is characterized by comprising a comprehensive information processing module and a data recording module, the comprehensive information processing module can perform information intercommunication with the data recording module, the comprehensive information processing module can identify and confirm navigation information of ships in the same sea area through wireless signals, and the data recording module can be in signal transmission connection with the marine environment monitoring module and the ship operation monitoring module. The marine environment monitoring module further comprises a radar information monitoring module and a visual image information monitoring module, the ship operation monitoring module comprises a ship body information monitoring module and a navigation information receiving module, and the ship body information monitoring module can identify and judge the overall operation state of a ship; the navigation information receiving module can obtain information such as satellite images. The method has the advantages that the sea area information can be quickly and efficiently obtained, the safety of the route is improved, and meanwhile, the information obtaining accuracy is improved.

The utility model provides a multifunctional integrated on-line measuring device based on a floater principle, which relates to the technical field of fluid parameter measurement, and comprises a porous choked flow sleeve fixed below a sealing flange, a buoyancy sensor and a pressure sensor both arranged on the sealing flange, a floater guide rail connected with the sealing flange, and a liquid level sensor connected with the floater guide rail. The limiters are arranged at the bottom of the floater guide rail in a bilateral symmetry mode, the floaters are arranged on the floater guide rail in a bilateral symmetry mode, and the floaters are arranged above the limiters. The limiter is used for preventing the floater from falling off, the floater is used for generating buoyancy in fluid and is connected with the buoyancy sensor, and the sealing flange is used for installing the conductivity electrode, the temperature sensor, the buoyancy sensor and the pressure sensor on a container. According to the utility model, the problems of large occupied space, high cost, inconvenience in maintenance and low working efficiency of independent measuring equipment in the prior art are solved.

The application discloses a kind of scientific research data analysis platform for fast radio burst, including data management module: for the structured, standardized, standardization management fast radio burst related scientific research data;Fast radio burst searching module: for searching fast radio burst in radio telescope observation data, and intercept fast radio burst sample storage in database;Fast radio burst sample analysis module: based on astronomical data analysis algorithm component, fast radio burst sample is in-depth analyzed, and analysis result is transmitted to visual module;Visual module: based on real galaxy distribution constructs 3D celestial sphere model, and fast radio burst data and analysis result are shown on the corresponding position of celestial sphere model.The application provides fast radio burst data acquisition, management and sharing function, constructs rich standardization data analysis capability, realizes analysis result visualization, greatly improves data acquisition and analysis efficiency, promotes astronomical achievement sharing, accelerates scientific research achievement output.

Embodiments of the present application disclose a data acquisition method and device, electronic equipment and medium, which are applied to the field of cloud technology, and can be related to the field of big data technology. The method comprises: obtaining structure information of a to-be-scanned data table, the structure information comprising a field name and a field type of the to-be-scanned data table; obtaining a configuration file corresponding to the field type from a data scanning library according to the field type of the to-be-scanned data table; generating a data scanning tool based on the field name of the to-be-scanned data table and the configuration file; and obtaining target data from the to-be-scanned data table through the data scanning tool. The embodiments of the present application can improve the efficiency of data acquisition. The present application can also be related to the field of blockchain technology, and the obtained target data can be written into a blockchain.

The invention discloses an oil field business main data aggregation and classification method, which belongs to the field of enterprise main data processing, and comprises the following steps of: firstly, dividing data into two types of data, namely digital data and text data, and respectively classifying the two types of data; and secondly, the text type data is processed into multi-dimensional vector data, that is, data capable of relating to context data and digital type data are subjected to data cleaning, and the integrity, accuracy and normalization of digital type main data are ensured through data cleaning. The method comprises the following steps of: extracting multi-dimensional vector data and standard digital type data, performing aggregation classification on the multi-dimensional vector data and the standard digital type data through an unsupervised machine learning model to obtain an aggregation result, and finally, extracting common features in a certain type of data according to the aggregation classification result, and screening the type of data according to the common features to realize accurate classification of the oil field business main data.

The invention belongs to the technical field of testing, and particularly discloses a multi-channel high-flux catalytic material evaluation system. A gas distribution system of the system comprises a plurality of gas pipelines, a plurality of mass flow controllers I, a mixing tank, a buffer tank and a plurality of branch mass flow controllers, the mass flow controllers I and switch valves I are arranged on the gas pipelines respectively, the front ends and the rear ends of the gas pipelines are connected with a gas source and the mixing tank respectively, the mixing tank is communicated with the buffer tank, and the branch mass flow controllers are arranged on the branch mass flow controllers. A gas outlet of the buffer tank is provided with a plurality of mixed gas branches; the steam system comprises a liquid supply source, an auxiliary carrier gas source and a vaporization tank, the liquid supply source and the auxiliary carrier gas source are connected with the vaporization tank, and the vaporization tank is connected with the multiple mixed gas branches at the outlet end of the buffer tank, the mixing tank or the buffer tank through pipelines; the reaction system comprises a heating box, a multi-channel reactor and an infrared heating structure; the control system is electrically connected with the switch valve I, the mass flow controller I, the switch valve II, the mass flow controller II, the infrared heating pipe and the analysis system.

The present invention relates to the technical field of power lines, and specifically to a tree felling and defect elimination analysis method based on laser point cloud, comprising the following steps: S1: formulating a tree obstacle detection range standard; S2: synchronously collecting laser point cloud data in sections, and quickly and automatically processing the data; S3: analyzing the safe distance between power lines and vegetation points, and determining the position and range of the tree obstacle area; S4: performing single-tree segmentation on the vegetation point cloud in the tree obstacle area, and counting the number of single trees, and finally realizing accurate estimation of the number of felled trees. The present invention collects point cloud data programmatically through an unmanned aerial vehicle laser radar, and after automatic processing, it can be presented on a web page through Webgl technology. At the same time, through RGB reconstruction and comparison, combined with a tree database, automatic comparison and tree felling and defect elimination analysis are realized, and the subsequent construction conditions and the rationality of the implementation arrangement are predicted to have a clear efficiency improvement, and a high-simulation traction field construction simulation based on the unmanned aerial vehicle laser point cloud is realized.