10 results about "Database preservation" patented technology

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 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 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 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.