29 results about "Database preservation" patented technology

The invention provides a data processing method and device and related equipment.The method is applied to a server, the server comprises a relational database and a non-relational database, data stored in the relational database and data stored in the non-relational database are synchronous, and the method comprises the steps that a query instruction is obtained, the query instruction carries a data type and a first key value of data needing to be queried; in the relational database, determining a target value according to the first data type and the first key value; determining a target index corresponding to the target value; the non-relational database comprises a plurality of indexes, and each index corresponds to one piece of data; the target index is one index in the plurality of indexes; and querying target data corresponding to the target index in the non-relational database. According to the method and the device, high flexibility and high efficiency can be realized when the user uses the maintenance help-seeking function request.

The invention discloses a data retrieval method and device, electronic equipment and a storage medium, relates to the field of artificial intelligence, and can store summary information of each document file by using a metadatabase and convert each page of each document file to obtain a page image. And storing a text vector generated by using each page of each document file by using a vector database, wherein the page image and the text vector are labeled with a file identifier corresponding to the document file and a page identifier corresponding to the page. When document searching is carried out, a text vector matched with document file query information can be retrieved in a vector database, then a corresponding page image is queried in a metadatabase by using a file identifier and a page identifier marked by the text vector, and then the page image is input into a multi-modal processing model for answer processing. The multi-modal processing model is helped to understand the association relationship between the text content and the image content through the page image, so that the answer quality is improved.

The invention provides an online data monitoring method for a large number of battery PACK packages, and belongs to the technical field of power batteries. The method comprises the following steps: a data acquisition client is connected with a battery PACK packet and then adapts to a CAN communication protocol, monitors the battery PACK packet and power supply battery BMS data, binds the monitoring data with equipment information and uploads the monitoring data to a mobile server through a wireless network; the mobile server builds a database to store historical data and is synchronized with the terminal server, the router serves as a transmission medium to improve the signal range and the communication stability, and the super-network technology is adopted to improve the capacity of connectable equipment. According to the invention, a large number of battery PACK pack and power supply battery data can be remotely collected, the cost of monitoring the state of the battery PACK pack in the transportation and storage process is optimized, the power supply battery can be monitored in real time, the state abnormity can be quickly detected and alarmed, and the safety is improved.

A method for manufacturing a desired article by machining is described. It uses a feature classifier (8) adapted to process a geometry file (3) and to extract a list of machining features. Further, a knowledge database (18) holds records of features and metadata of the features as well as references to the strategies for machining them. For the features of the article to be machined, a controller (16) retrieves suitable machining strategies from the knowledge database (18). A machine program (26) is generated therefrom and used for machining the article in a CNC machining device (2). The feature classifier (8) comprises a neural network (12) that determines the feature categories of the features in the article geometry file (3). Hence, the method combines the use of a database and of a neural network, combining the two technologies to use their strengths and to avoid their shortcomings.

The invention provides a data processing method and an encrypted data query method. The data processing method comprises the following steps: generating a matrix M with a master key; randomly selecting a positive integer sum as an encryption key to encrypt target data to obtain a sum which is an order of an elliptic curve and is respectively a base point of an elliptic curve pair; and uploading the encrypted data to a database, and storing an encryption key sum. The encrypted data query method comprises the following steps: constructing a vector g and randomly selecting a positive integer; calculating a query vector or sending a query request to a database based on the query vector; and receiving a query result of the database or calculating a discrete logarithm f related to the query result by the user side or the database side. According to the method, the encrypted data supports flexible operations such as statistical analysis on the encrypted data, and a basis is provided for realizing a query function for non-data owners.

The application discloses a house type drawing intelligent identification method and device based on image recognition, and relates to the technical field of house type drawing identification.The application comprises the following steps: a collection module obtains original data from a mobile terminal, the original data comprising image information or video information, the collection module forwards the original data to a database for storage, an OpenPose library obtains the original data or feedback information from the database, executes a key point identification program to obtain a house type framework, the OpenPose library transmits the house type framework to a ResNet module, the ResNet module obtains the original data or feedback information from the database, executes a hotspot map analysis program to obtain identification data, the ResNet module combines the identification data and the house type framework into first data and transmits the first data to an OCR module.The application realizes intelligent identification of house type drawings through multi-module collaborative processing, improves identification accuracy and efficiency, and solves the technical problems of low accuracy and poor efficiency of traditional house type drawing identification methods.

The application relates to the technical field of smart communities, and discloses a smart community security system and a security camera, which comprise an access control device, a camera device, an input panel and a fence. In the application, the face of a person is recognized through the camera, and the community personnel in a database are compared. When the person is identified as a community personnel, the identity verification is successful, and the opening and closing of a panel mechanism is controlled through a processor. When the identity verification fails, an invitation code for inviting an outsider by the community personnel needs to be input in the input panel, and the invitation code set by the community personnel is verified in the database. After the verification, the face of the outsider can be uploaded to the database for storage, and the opening and closing of the panel mechanism is controlled through the processor. Through face recognition and the setting of the invitation code, the identity of the outsider is ensured. Through the use of the camera device and the panel mechanism, the problem that the outsider cannot be recognized when entering the community is avoided, and the phenomenon that the outsider follows the community personnel into the community without being recorded is avoided.

The invention discloses a file system performance monitoring system, which is characterized in that a file system is provided with a web interface, an agent agent program and a database at a user side, and the file system is provided with a monitoring module and a POSIX interface at a kernel side; the web interface is configured as follows: the web interface is used for displaying an overall performance monitoring condition of the file system and file system related data of an application needing to be monitored; the agent agent program is configured as follows: the agent agent program communicates with a web interface through an http protocol, receives parameters issued by the web interface and application names needing to be monitored, and establishes connection with the monitoring module in the kernel through a socket; the database is configured to store monitoring data sent by the monitoring module and received by the agent agent program, and when a user executes a query operation on the monitoring data on a web interface, the database executes a corresponding query statement and returns a result to the agent agent program; the monitoring module is configured to comprise a transmission module, a management module and a statistics module.

The invention belongs to the field of transformer design, and particularly relates to a transformer iron core section optimization method and system based on dynamic programming, and the method comprises the following steps: 1) inputting a given iron core diameter and parameter data, and building a mathematical model of a transformer iron core section according to a transformer iron core design structure; 2) obtaining a selectable sheet width set according to the established mathematical model of the cross section of the transformer iron core; 3) according to the selectable sheet width set, establishing a dynamic programming recursion formula to obtain an optimal result of the cross section of the transformer core; 4) visually displaying the optimal result of the cross section of the transformer iron core, judging whether the optimal result meets requirements or not, and if the optimal result meets the requirements, exporting corresponding document data and uploading the document data to a database for storage; and if not, returning to execute the step 1). According to the method, the final purposes of full coverage of scheme combination and global optimization of the calculation result are achieved, meanwhile, the operation efficiency is high, the time complexity is low, and the overall cost of the transformer is better reduced through the global optimal section design.

The invention discloses a like data compensation processing method and device, computer equipment and a readable storage medium, and the method comprises the steps: firstly obtaining data generated by related like operation of a user, and storing the data into a Redis metering pool; and then judging whether the Redis compensation pool has current user compensation data, if so, synchronizing the data to the DB database and then clearing the data, and if not, directly operating the DB database to store the data. A Redsson distributed lock is used for controlling concurrent operation of a DB database, and database and cache synchronization is completed according to user ID table division operation. The DB database is monitored through a section, if synchronization fails, compensation data are put into the compensation pool for compensation again, and it is ensured that data synchronization succeeds. According to the design, the like data processing efficiency can be effectively improved, the data consistency is guaranteed, the database pressure is relieved, and the system stability is improved.

The invention provides a system for collecting daily maintenance data of a mold, an intelligent mold counting unit is bound with a hardware module and reports the production frequency of the mold in real time, and the step of formulating mold maintenance specifications further comprises the step of carrying out maintenance reminding when the mold reaches the specified frequency; when a maintainer maintains the mold, the mold identification code is scanned by using the mobile phone terminal, the identification analysis system installed on the mobile phone terminal analyzes the mold identification code, all data of the module of the mold can be called out and displayed on a mobile phone screen, and then the maintainer submits maintenance content by using the mobile phone terminal according to specified maintenance specifications; correspondingly, when a maintainer maintains the mold, the mold identification code is scanned by using the mobile phone terminal, the mold identification code is analyzed by using an identification analysis system installed on the mobile phone terminal, all data of the module of the mold can be called out and displayed on a mobile phone screen, and then the maintainer submits maintenance content by using the mobile phone terminal according to a specified maintenance specification; and at the same time, the maintenance content is sent to the database for storage corresponding to the real-time moduli, and the maintenance content is updated into the database.

The invention relates to the technical field of material management, and discloses a material management method and system, intelligent equipment and a traceable data processing device.The method comprises the steps that when supplier vehicles loaded with materials arrive at a construction site, vehicle numbers, material types and material weights form entry data; if the scanning data is consistent with the entry data, storing the scanning data and the entry data by using a cloud database, and indicating the supplier vehicle to enter the construction site; collecting the timestamp and the geographic position of each supplier vehicle in real time, and storing the timestamp and the geographic position by using a cloud database; executing the block chain encryption storage strategy, and storing the data in the cloud database by using a block chain; acquiring historical material consumption data stored in the block chain, executing a material inventory prediction strategy, and predicting future material demands; and executing the inventory dynamic adjustment strategy, and adjusting the stock purchase scheme of the inventory. The automation and intelligence of material management are improved, and the construction efficiency and transparency are promoted.

The embodiment of the invention provides a data synchronization method and device, electronic equipment, a system and a medium, and the method specifically comprises the steps: responding to a user operation, and generating business data; the transmitted data comprises service data and a processing end identifier; the processing end identifier is used for representing a data end for processing the service data; for the transmitted data, generating keys in the key-value pair data; the transmitted data is used as a value in the key-value pair data; key value pair data are stored in a database; sending a key in the key-value pair data to a second data end, so that the second data end inquires a query result corresponding to the key from the key-value pair data stored in the database according to the key, and the second data end matched with the processing end identifier performs synchronous processing on the service data to obtain a synchronous processing result; the synchronization processing is used for synchronizing user rights and interests corresponding to the service data in the preset area range. According to the embodiment of the invention, the success rate of data synchronization can be improved, and the cost of data synchronization can be reduced.

The present invention discloses a tunnel deformation detection method, system, device and storage medium, which relates to the technical field of computer vision processing. The method includes: identifying tunnel targets according to point cloud data and video images; segmenting the tunnel targets to obtain a set of individual targets and storing them in a historical database; wherein the set of individual targets includes several individual targets, and the historical database stores several sets of individual target sets detected at different times; using the left and right delimitation algorithm of the central axis to compare the data of several sets of individual targets in the historical database to obtain the deformation degree of the tunnel targets. The present invention performs segmentation processing on point cloud data, combines historical data for data comparison, and uses the left and right delimitation algorithm of the central axis to determine whether the tunnel has deformed, and at the same time locates the deformed section, which can greatly reduce the workload of track inspection and improve the interval accuracy of deformation detection.

The application provides a dynamic form, field configuration and storage method and system, defines database initial fields, defines field format rules and SQL statement dynamic creation rules, completes precondition creation, uses the field format rules to define target fields to be added or modified, uses the SQL statement dynamic creation rules to complete dynamic association storage of the target form and the target fields, acquires all field data of the target form, traverses and parses each field into an html label, renders into an html page, checks input content of a user on the html label, and saves the input content which passes the check in a database by using the SQL statement dynamic creation rules; the application configures and stores the dynamic form fields based on the JSON / XML field format rules and the SQL statement dynamic creation rules, realizes dynamic form rendering interaction, improves flexibility of field configuration and form generation, and solves problems of large workload of an existing platform and low code expansibility and maintainability.

The application discloses a kind of BIM data processing method and system based on beidou grid code comprising: file analysis module parses BIM data and identifies each electric power physical entity in the BIM data;Conversion coding module extracts the model shape, model size and model geospatial information of each electric power physical entity;According to the model shape, model size generates three-dimensional grid;According to the model geospatial conversion into beidou grid code;Storage correlation module stores entity data into database and saves, establishes correlation with other information of original entity in database through the beidou grid code, carries out fusion management.The BIM data processing method based on beidou grid code provided by the application can effectively solve the fusion search problem of BIM data, by establishing the grid data model based on beidou grid code, meet the fusion management needs of electric power digital asset big data and electric power space-time big data.

A method of performing transaction processing operations at computing apparatus is provided, together with computing apparatus adapted to manage these operations. The computing apparatus includes a programmed processor adapted to provide the following functional elements. A transaction processing management node is adapted to install and deinstall transaction processing nodes. A transaction operation rules database holds transaction operation rules. An interface to a transaction processing infrastructure receives transaction data for the transaction processing operations. The transaction processing nodes are adapted to perform the transaction processing operation on the transaction data using the transaction operation rules under control of the transaction processing management node.

The purpose of the present invention is to provide a technique capable of effectively using a digital instrument panel in a semiconductor device manufacturing apparatus and a semiconductor device manufacturing system. One terminal according to the present invention is connected to a network provided with at least: a first database in which recipe information to be used in a semiconductor manufacturing apparatus for processing a sample is stored; the second database is used for storing an electron microscope image of the sample; and a server capable of directly or indirectly communicating with the first database and the second database, the terminal being characterized by being provided with: a processor for processing a communication protocol with a network; and a user interface (hereinafter referred to as "UI") displaying information stored in the first database or the second database, and displaying a digital instrument panel on the UI, the digital instrument panel displaying the recipe information or the electron microscope image according to a request input from the UI.

The invention discloses a house type image intelligent identification method and device based on image identification, and relates to the technical field of house type image identification. The method comprises the following steps that an acquisition module acquires original data from a mobile terminal, the original data comprises image information or video information, the acquisition module forwards the original data to a database for storage, an OpenPose library acquires the original data or feedback information from the database, a key point recognition program is executed to obtain a house type framework, and the house type framework is stored in the database. The OpenPose library transmits the house type framework to the ResNet module, the ResNet module obtains original data or feedback information from the database and executes a hotspot map analysis program to obtain identification data, and the ResNet module combines the identification data and the house type framework into first data and transmits the first data to the OCR module. The method improves the recognition accuracy and efficiency, and solves the technical problems of low accuracy and poor efficiency of a conventional house type image recognition method.

The application provides a consensus method, a consensus network, an electronic device and a readable storage medium. The method comprises the following steps: a current round leader node initiates a first proposal and broadcasts the first proposal to all consensus nodes in a consensus network; the first proposal comprises a proposed block and a proposed next round leader node; all consensus nodes in the consensus network perform threshold signature on the first proposal, and send the signature result to the next round leader node; the next round leader node forms an aggregated signature by threshold signature, and determines a next next round leader node; the next round leader node initiates a second proposal and broadcasts the second proposal to all consensus nodes; all consensus nodes verify the legitimacy of the aggregated signature, and feed back the verification result to the next next round leader node when the verification is passed; and the next next round leader node submits the first proposal to a database for storage when it is determined that the number of consensus nodes that pass the verification reaches a preset threshold. The application can reduce the communication complexity and improve the reliability of the network.

A data storage device creates associated data using data received from at least one of a primary database that stores data received by a device of a plant, a secondary database that stores a portion of the data in the primary database and other data, and a host network of the plant, and stores the associated data using the associated data. And storing object data in the secondary database, wherein the object data is formed by combining data received from at least two of the primary database, the secondary database, and the upper network.

The invention relates to a prediction system. This system is provided with: a database in which communication performance data relating to the communication quality of a vehicle is stored; a path specifying unit that specifies one path from which the communication performance data within a predetermined period is not acquired; a vehicle determination unit that determines one vehicle including one path in the predetermined travel route; and an acquisition unit that acquires one piece of communication performance data from one vehicle traveling on one route.

The invention relates to the field of data management, and discloses a calculation method for continuously optimizing estimated benefit based on a hierarchical configurable penalty model, which is used for solving the problem of uncontrollable penalty intensity in an actual environment, and comprises the following steps: opening a penalty rule function of a transport capacity service provider, configuring violation categories, and supporting user-defined new violation categories; the method comprises the following steps: selecting driver portrait configuration as refined driver crowd configuration to obtain crowd classification, performing database storage on the driver portrait configuration, adding a measurement time range, configuring punishment rule violation times, disposal types and disposal amounts, randomly selecting a fixed number of crowd samples within the measurement time range, and determining the number of the crowd samples; and starting an algorithm to analyze crowd sample data, aggregating crowd classification to obtain violation penalty statistical data, measuring and calculating data, reversely adjusting penalty configuration, continuing the steps 5-7, and repeating measurement and calculation until an optimal solution is obtained through backtracking, so that reasonable rights and interests of passengers are effectively guaranteed, and the service capability of drivers is improved.

A method of performing transaction processing operations at computing apparatus is provided, together with computing apparatus adapted to manage these operations. The computing apparatus includes a programmed processor adapted to provide the following functional elements. A transaction processing management node is adapted to install and deinstall transaction processing nodes. A transaction operation rules database holds transaction operation rules. An interface to a transaction processing infrastructure receives transaction data for the transaction processing operations. The transaction processing nodes are adapted to perform the transaction processing operation on the transaction data using the transaction operation rules under control of the transaction processing management node.

The invention relates to an operation and maintenance task arrangement method and computing equipment. The method comprises the steps of obtaining an original command text; respectively generating fragment data, vector data and structured data based on the original command text, storing the vector data to a first database, and storing the structured data to a second database; wherein the fragmented data, the vector data and the structured data have corresponding relations; when a first operation and maintenance task input by a user is received, obtaining target fragment data matched with the first operation and maintenance task based on the first database and the second database; and inputting the first operation and maintenance task and the target fragmented data to the large model, outputting a first operation and maintenance command template, and generating a target operation and maintenance command for executing the first operation and maintenance task based on the first operation and maintenance command template. Therefore, when the operation and maintenance command in the existing operation and maintenance tool cannot meet the operation and maintenance requirement, the corresponding operation and maintenance command can be generated according to the operation and maintenance requirement, a new operation and maintenance tool does not need to be developed, and the operation and maintenance efficiency can be improved to a great extent.

The invention provides a method and a device for managing flow table items and electronic equipment, which are used for avoiding the problem that a large-capacity flow table cannot be stored in an SDN (Software Defined Network) controller due to the limitation of a physical memory of a server at present. The method comprises the following steps: receiving flow table item information; wherein the flow table item information comprises a flow table item and a service rule identifier corresponding to the flow table item, and a data structure of the flow table item is a tree structure; based on the business rule identifier, rewriting the tree structure into a relational structure; wherein the relational structure comprises the service rule identifier and a target field of the flow table item; and based on the relational database, storing the relational structure.

The invention relates to the technical field of smart communities, and discloses a smart community security system and a security camera, the smart community security system comprises an access control device, a camera device, an input panel and a fencing, the camera is used for identifying the face of a person, comparison is performed through community persons in a database, and when the person is identified as a community person, the security camera is started; when the identity verification is successful, opening and closing of the breast board mechanism are controlled through the processor, and when the identity verification fails, an invitation code of the community personnel inviting the foreign personnel needs to be input on the input panel and is compared with the invitation code set by the community personnel in the database for verification, and the face of the foreign personnel can be uploaded to the database for storage after the verification is passed; the processor controls opening and closing of the breast board mechanism, through face recognition and setting of an invitation code, the identity of foreign personnel is guaranteed, the problem that the foreign personnel cannot be recognized when entering is avoided through cooperation of the camera device and the breast board mechanism, and meanwhile the phenomenon that the foreign personnel enter along with community personnel without recording is avoided.

The method for acquiring the recommended menu comprises the following steps: acquiring a plurality of menus, descriptions of the menus and a first BERT model; training the first BERT model by taking the function description as a training sample and the menu as a training label to obtain a second BERT model; according to the function description of the menu, generating a problem through a model, extracting a first semantic feature through a second BERT model, and storing the first semantic feature in a vector database; performing word segmentation on the menu, the function description and the generation problem, and constructing an inverted index according to a word segmentation result; obtaining input information of a user, and obtaining K menus through a second BERT model; extracting a second semantic feature of the input information, and determining K menus according to the second semantic feature and a first semantic feature stored in a vector database; performing word segmentation on the input information, and retrieving K menus from the document database according to a second word segmentation result; and determining N recommended menus according to the K first prediction menus, the K second prediction menus, the K third prediction menus and the user information.

The application discloses an implementation mode of a middle layer service based on Android for simplifying application layer device access and data processing, which is a link connecting hardware and display programs, can reduce memory and storage occupation, improve execution efficiency, is easy to extend and debug, and meets various complex requirements. The implementation mode is developed based on a Java language, an interface method provided by hardware is called through JNI, and a hardware communication interaction process is realized; different device analysis classes are encapsulated according to different device types, so as to provide independent and flexible interaction processes among the device analysis classes; an efficient and simple data interface is provided for a display layer, various complex requirements can be compatible and extended; and SQLite databases are used to save and update data uploaded by hardware in a short period.