15results about How to "Data storage is convenient" patented technology

The invention relates to the technical field of data processing, in particular to a data compression and block storage processing method based on deep learning. The method comprises the following steps: acquiring integrated data to be compressed; analyzing the effective to-be-compressed integrated analysis data according to the to-be-compressed integrated data; constructing a heterogeneous data feature analysis tree model; extracting to-be-compressed feature data of the effective to-be-compressed integrated data through the heterogeneous data feature analysis tree model; designing a recursive sparse coefficient evaluation objective function based on the to-be-compressed feature data; performing adaptive sparse compression processing on the effective to-be-compressed integrated data based on the recursive compression sparse coefficient evaluation objective function to obtain compressed data; performing block processing on the compressed data to generate block compressed data; and performing compressed data block storage optimization processing on the partitioned compressed data to generate an optimized storage compressed data block. According to the method, data features are analyzed through a deep learning algorithm, so that efficient processing of data compression and block storage is realized.

The invention relates to the technical field of flue gas waste heat recovery, and discloses an online regulation and control system and method for regulating the flue gas waste heat recovery amount of a wide-channel plate type low-temperature economizer. The system comprises a flue gas treatment main process assembly, a low-temperature economizer water circulation assembly and an intelligent regulation and control assembly. Sensors are arranged at all key parts, an intelligent control unit is used for regulating and controlling a circulating water pump, a valve and other assemblies on the basis of a control model and real-time data, and the flue gas waste heat recovery amount is precisely regulated and controlled. Meanwhile, the system has the functions of data storage and analysis, fault diagnosis and interaction with external meteorological equipment, can optimize a control strategy, guarantees the system stability, and improves the adaptability. According to the system and method, the energy utilization efficiency is effectively improved, it is ensured that the system stably operates under complex working conditions, and the system and method have wide application prospects in the fields of thermal power generation and the like.

The invention discloses a clothing pattern making method and system based on a human body three-dimensional model. The method comprises the following steps: firstly, acquiring human body three-dimensional data information through a high-precision human body scanner, preprocessing the human body three-dimensional data information, converting the human body three-dimensional data information into human body three-dimensional point cloud data, and constructing a human body 3D model according to the human body three-dimensional point cloud data; performing classification and feature point extraction on human body 3D model data by combining geometric features of human body parts through an AI model; a human body surface three-dimensional grid is generated based on the generated feature points, the human body surface three-dimensional grid is refined according to a preset three-dimensional data structure and a rapid capture algorithm, and the refined three-dimensional surface is expanded to obtain a two-dimensional surface patch; finally, the unfolded pieces are spliced to obtain a human body two-dimensional prototype, and a clothing template is manufactured. According to the invention, complex three-dimensional human body information can be converted into various two-dimensional prototypes which contain all body shape data and can be directly used for clothing pattern making.

The invention discloses an intelligent vehicle driving data abnormal scene extraction method and system based on artificial intelligence, and relates to the field of data analysis, and the method comprises the steps: calling basic information of each intelligent vehicle, and obtaining an abnormal risk assessment value of each intelligent vehicle; matching to obtain a driving data extraction proportion of each intelligent vehicle; driving data packets of all the intelligent vehicles are obtained, and comprehensive scene data are counted, processed and then imported into the integrated AI cloud computing center; according to the intelligent vehicle driving data abnormal scene extraction method based on artificial intelligence, the basic information of the intelligent vehicle is obtained from a plurality of data transmission terminals, the abnormal risk is analyzed and evaluated, the data extraction proportion is dynamically adjusted, and the risk vehicle is efficiently identified. And data features are mined by using a professional module, and abnormal scenes are labeled through clustering analysis, so that the data analysis efficiency is improved.

The invention relates to the technical field of supply chain data management, and discloses a supply chain data management method, system and device and a storage medium, and the method comprises the steps: obtaining a structured parameter set of an enterprise node and all supply chain data of the enterprise node; constructing a system supply chain model, and performing data processing operation on the system supply chain model to obtain a directed graph model of the system supply chain model; performing data storage configuration operation on the enterprise node to obtain storage data of the enterprise node; clustering analysis operation is carried out on the enterprise nodes, and node supply chain models including the enterprise nodes are established in a classified mode; constructing an information propagation path diagram of the supply chain; performing data analysis and mining operation on the supply chain real-time data to obtain useful information corresponding to enterprise nodes; and performing data sharing operation to complete data updating and synchronization of the corresponding enterprise node. According to the method, enterprise supply chain data management can be realized, and the collaboration efficiency of a supply chain system is improved.

The invention discloses an electric control assembly and an intelligent barrier gate license plate recognition system, and relates to the field of electric control equipment, the electric control assembly comprises an outer shell, an inner shell is rotatably arranged in the outer shell, four fixed terminals are arranged on the inner wall of the outer shell, two opposite fixed terminals form a group, two movable terminals are symmetrically arranged on the surface of the inner shell, and the two movable terminals make contact with one group of fixed terminals. The movable terminal can be switched to make contact with the other set of fixed terminals when the inner shell rotates by 90 degrees, a shaft column is coaxially fixed to the inner shell, the shaft column is connected with a driving device, the driving device can drive the shaft column and the inner shell to rotate by 90 degrees in a reciprocating mode, and a protruding block is arranged on the surface of the shaft column. And the electric quantity of the energy storage battery is generated by the vehicle rolling and pressing power generation device, so that the use amount of commercial power by the barrier gate license plate recognition system is reduced, the use cost is reduced, and energy is saved.

The invention relates to the technical field of current measurement, in particular to a post-arc current measurement system and method, and a synthesis loop module comprises a test switch module, a current loop module and a voltage loop module. The current loop module is electrically connected with the test switch module and is used for providing a current source for the test switch module; the test switch module is used for sampling the zero-region post-arc current flowing through the voltage loop module after the current loop module is cut off; the voltage loop module is electrically connected with the test switch module and is used for applying recovery voltage to a test switch in the test switch module in the process of measuring the post-arc current; and the measurement analysis module is used for processing an output signal of the test switch module to obtain a post-arc current measurement result. The system can improve the accuracy of post-arc current measurement.

The invention relates to a neural network data set efficient generation method and device based on a Monte Carlo program. The method comprises the following steps: acquiring input parameters efficiently generated by a neural network data set and a data set making framework manager; and generating an output data set efficiently generated by the neural network data set according to the input parameters and the data set manufacturing framework manager and the Monte Carlo program. The method aims to solve the problem of deep neural network data acquisition in three-dimensional radiation field reconstruction, and can improve data generation efficiency, enhance data diversity, optimize data storage and reading, and improve model generalization ability.

The invention discloses a risk control method based on land parcel underwriting claim settlement. The method comprises the following steps: S1) providing basic GPS positioning and land parcel sketching functions on a base map; s2) storing historical underwriting information corresponding to the historical delineated plot in a sub-table manner, and providing a function of searching insurance slip, a peasant household name and insurance start time of the insurance slip; s3) summarizing and displaying the historical land parcels on a map by taking administrative divisions as dimensions, and providing land parcel searching and crop map layer screening functions; and S4) providing a label verification scene and a survey scene. According to the risk control method based on land parcel underwriting and claim settlement provided by the invention, land parcel verification and storage search of corresponding historical underwriting information are provided, risk management and control can be performed on insurance and claim settlement land parcels, and the insurance risk is greatly reduced.

The present invention discloses a method for measuring and proofreading house construction based on a BIM model, including: S1, connecting a scanner to a controller through a transmission module, the controller is connected to a control panel, the BIM model is imported into the controller through the control panel, and the room name, the modified theoretical room size, the selected measured items, the design thickness, and the measured deviation control value are input; S2, the controller automatically generates the position and direction of the measured control point according to the theoretical room size, moves the scanner to the measured control point, and clicks data acquisition; S3, according to the selected measured items, the room is automatically scanned by a scanner, and the scanned data is transmitted to the controller; S4, the controller converts the scanned data into a scanned three-dimensional model, and compares and obtains the position exceeding the measured deviation control value. The present invention can automatically check the quality of the house data after the construction project, and is conducive to later verification.

This utility model discloses a pressure testing device for visual-tactile sensors, including a base, a testing module, and an adjustment module. The visual-tactile sensor and the testing module are movably arranged relative to each other. The adjustment module is drivenly connected to the movably arranged visual-tactile sensor and / or the testing module, so that the orientation of the testing module relative to the visual-tactile sensor can be adjusted. The testing module includes: a mounting base; a connecting base, movably mounted on the mounting base in the testing direction near and away from the visual-tactile sensor; a pressure sensor disposed on one side of the connecting base in the testing direction, with the force-bearing surface of the pressure sensor facing or away from the connecting base; a contact body connected to the side of the pressure sensor away from the connecting base; and a feeding mechanism connected to the connecting base. This application can perform repeatable, multiple tests on the same or different visual-tactile sensors, which helps to improve testing efficiency and enhance the overall practicality of the pressure testing device.

The embodiment of the present invention discloses a data processing method and device based on a knowledge graph, as well as a storage medium and an electronic device, wherein the method includes: realizing efficient management and precise service of policy information through automated collection, structured processing, intelligent classification, ontology model construction and personalized matching and push, the method improves the efficiency of data collection and processing, enhances the accuracy of text classification, optimizes data storage and query, improves user experience, and enhances the practicality and adaptability of the system through a flexible task response mechanism, thereby improving the quality and efficiency of policy information processing.

The invention provides a method, system and equipment medium for an Internet of Things platform to collect OPCDA protocol data, and belongs to the technical field of the Internet of Things. The method comprises the following steps: establishing communication connection between a client and an OPCDA server; the client sends a data request to the OPCDA server according to a service demand, and converts data acquired from the OPCDA server into data which can be identified by the Internet of Things platform; the client sends the converted data to a service end through a message queue; the service end stores the data received from the client into a relational database and a time sequence database; and the client requests the OPCDA server to cancel the connection. According to the invention, the rapid transmission and sharing of data are realized, the same operating system environment does not need to be maintained between the client and the OPCDA server, the dependence on the development environment is reduced, the development cost is obviously reduced, and the data interaction efficiency between the industrial system and the application of the Internet of Things is improved.

The utility model discloses a chip appearance testing mechanism, which belongs to the technical field of chip testing and comprises a bottom plate, a control box is fixedly mounted on the bottom plate, a first controller and a second controller are fixedly mounted in the control box, the second controller is electrically connected with the first controller, and the first controller is electrically connected with the second controller. The bottom plate is fixedly provided with a conveying device, the conveying device is electrically connected to the second controller, the bottom plate is rotationally connected with a first grabbing device and a second grabbing device, and the first grabbing device and the second grabbing device are electrically connected to the second controller. A first support block and a second support block are fixedly mounted on the control box, the first camera and the second camera are electrically connected to the first controller, a detection platform is fixedly mounted on the control box, and a good product box and an inferior product box are placed on the bottom plate. The device is high in automation degree, and human errors are avoided.

The invention discloses a method and device for detecting a household energy storage system, and relates to the technical field of energy control, and the method comprises the steps: receiving a monitoring request which is transmitted by user equipment and contains detailed feature identification information, the feature identification information covers a user geographic position, an energy storage equipment model, installation time, an initial performance parameter, a daily use mode and surrounding environment data, and the surrounding environment data comprises temperature, humidity and altitude. Through an advanced algorithm, target equipment is accurately obtained, multi-dimensional data is comprehensively collected, data processing is optimized, the service life state of the equipment is accurately predicted, detailed early warning is generated, early warning is transmitted in time by means of multiple communication modes, data safety is guaranteed through a block chain, backtracking analysis is facilitated by constructing a database, safety accidents can be reduced, the user experience is improved, and the user experience is improved. The industry development is promoted.