31results about How to "Convenient for dynamic expansion" patented technology

The invention discloses a dynamic route architecture system for a quantum cryptography network. The system performs dynamic route selection for cryptographic communication by the aid of quantum cryptography according to changes of quantum key quantities among relay nodes of the quantum cryptography network. Specifically, a route server is arranged for the relay nodes of the whole quantum cryptography network, and topology updating cycles of the quantum cryptography network are set; each relay node gathers and processes state information of each relay node and reports each result to the route server in each topology updating cycle. The route server generates topology state information of the quantum cryptography network in the next topology updating cycle after gathering the topology state information of all the relay nodes and sends the topology state information to all the relay nodes of the quantum cryptography network. Each relay node calculates and determines a target relay node as a next-hop route of communication data of any other relay node on the basis of a shortest path rule according to the topology state information of the quantum cryptography network acquired from the route server.

The invention provides a distributed file storage system, which comprises a data storage server cluster subsystem and a file management server cluster subsystem, wherein the file management server cluster subsystem comprises at least two storage volumes; each storage volume at least comprises two storage node servers, the storage node servers in each volume are backups and mirror images of each other, and a difference of storage capacities of the storage node servers in each volume is smaller than a first set value; and the file management server cluster subsystem is used for customer file uploading, storage management and storage server cluster synchronization. The invention provides a large number of super-large scale extensible and loosely-coupled distributed file systems, the performance is greatly improved, the dynamic expansion is greatly improved, the system supports file second pass, streaming media real-time playing, oversized data file storage and multi-user file sharing andprotection, and the basic services are provided for a data storage technology of the present era of big data.

The invention discloses a portable wireless network detection evidence-obtaining system which comprises an embedded hardware platform, as well as an embedded operating system module and an application platform module based on the embedded hardware platform, wherein the embedded hardware platform comprises an embedded mainboard and a wireless network card module; the wireless network card module specifically comprises a network interface controller, a baseband processor, a medium frequency processing unit, a radio frequency processing unit, a transmitting-receiving module and an antenna sequentially connected. According to the invention, a system framework taking a modularization architecture as a main body, the hardware platform based on a low-power and high-performance arm embedded platform, and a software platform taking a customized safe embedded Linux operating system as a backbone are realized, and the technologies such as wireless network drive optimization, concurrence multithreading real-time monitoring and multimode wireless security detection are combined and adopted, so that the problems about miniaturization, mobility and low energy consumption of equipment are effectively solved, and the perfect wireless detection function is realized through multiple innovative technologies.

The invention relates to a system for achieving a safety audit. The system comprises a plurality of clients, a plurality of servers and a safety audit device. The invention further relates to a safety audit method. The method includes the steps that service request messages are sent to the safety audit device by the clients; the safety audit device forwards the service request messages to the servers corresponding to the service request messages, and a service request message mirror image is copied so that a corresponding mirror image file can be obtained; the safety audit device analyzes the mirror image file so that corresponding service operation instructions can be obtained; the servers respond to the service request messages and send corresponding service operation logs to the safety audit device; the safety audit device compares and analyzes the service operation instructions and the service operation logs. The system for achieving the safety audit has the functions of double-machine hot standby and cluster deployment, is easy to popularize, stable and reliable, supports dynamic expansion and has a wider application range.

The invention provides a highly available and scalable distributed data archiving method and system, which can realize archiving algorithm configuration and schedule task templating, and the flexible configuration of data collection algorithms; and can also realize the dynamic expansion of scheduling servers and the stable performance. The method includes the steps of configuring and caching archiving task information, wherein, the caching of the archiving task information includes centralized cache of the archiving task information and local cache in schedule servers; registering an archiving task into the Spring to generate templated schedule tasks; loading the schedule tasks by a scheduling center, and allocating the schedule tasks to the plurality of schedule servers; and obtaining, by the schedule servers, the corresponding archiving task information according to the allocated schedule tasks for data archiving.

The present invention provides a dynamic extension method and system for a multidimensional data analysis model. The extension method comprises: importing a data set, and detecting the data set to obtain detection information; mapping attribute fields in the data set to a preset dimensional model according to the detection information or establishing new dimensions to form a dimensional model obtained after dynamic extension; and establishing an element table representing a relationship between the attribute fields and elements corresponding to the attribute fields, and a relation table representing the relationship between the attribute fields and the internal levels of the attribute fields in the dimensional model according to the dimensional model obtained after dynamic extension. According to the dynamic extension method and system for a multidimensional data analysis model provided by the present invention, the dynamic extension of dimensions is supported, the extension is very flexible, the extensions among different users cannot cause mutual interference, the extension cost is very low, and dynamic and various data can be processed, so that the dynamic extension method and system conform to the demands of the big data era.

The invention provides a knowledge service method for a complex equipment digital twin model, and belongs to the technical field of complex equipment knowledge engineering. The invention discloses a knowledge service mechanism method for construction of a knowledge classification ontology model of complex equipment, knowledge mapping based on a meta-structure tree of the complex equipment and dynamic calling of a twinborn model according to a knowledge application requirement in digital twinborn of the complex equipment and a loose coupling and extensible reference principle of the knowledge and the digital twinborn model. A knowledge service algorithm oriented to dynamic calling of a digital twin model is designed and realized, dynamic requests of real-time physical information data of equipment nodes for knowledge are realized, and support is provided for equipment anomaly prediction, fault diagnosis, performance prediction and the like.

The invention provides an alliance chain infrastructure and management platform many-to-many mapping method and system, and the method comprises the steps: obtaining configuration information on an alliance chain management platform, and splitting the configuration information into resource configuration information, network configuration information and node configuration information; performing availability check on the configuration information and creating an alliance chain management platform network according to the network configuration information; building an alliance chain network according to the alliance chain infrastructure network configuration information; respectively adding a plurality of organizations into different alliance chain management platform networks and alliance chain networks, and distributing different organization identity information, user permissions and network permissions to each node; according to different alliance chain management platform networks, selecting different organization identities to manage the alliance chain network, managing different alliance chain management platforms according to different organization identities in the alliance chain network corresponding to the alliance chain infrastructure, and achieving the many-to-many mapping relation between the alliance chain management platforms and the alliance chain infrastructure.

The invention discloses a symbol library based on a three-dimensional plotting system. The symbol library comprises a symbol description unit and a symbol generation unit, and is characterized in thatthe symbol description unit comprises a symbol information library, a control point description instruction set and a primitive description instruction set; and the symbol generation unit comprises abasic operation module, a basic primitive algorithm library, a vertex generator and a vertex rendering module. According to the symbol library, the symbol generation algorithm and the symbol description are separated, and the custom symbol can be conveniently constructed according to the symbol description specification, and the complexity of creating the custom symbol is reduced.

The invention relates to natural language processing, particularly provides a method, a system, a medium and a device for realizing text-to-voice service based on GRPC, and aims to solve the problems of poor flexibility and poor expansibility of an existing text-to-voice method. In order to achieve the purpose, the method comprises the steps that an interface protocol for achieving the text-to-voice service is formulated in advance, a ProtoBuf compiler is used for compiling and generating a client side code and a server side code, ProtoBuf is used for serializing or de-serializing data, a conversion request sent by the client side is processed at the server side, and a processed result is returned to the client side. According to the method, the voice and audio data are serialized by using the ProtoBuf, the network transmission efficiency of a large audio file is greatly improved, a text-to-voice core algorithm is realized based on a GRPC remote procedure call lightweight framework, the deployment problem of real-time online text-to-voice and non-real-time text-to-voice is solved based on GRPC one-way streaming and non-streaming transmission, and the method has relatively high flexibility, expandability and concurrency capability.

The invention provides an information service security evaluation method and device, and the method comprises the steps: combining a security evaluation program with the configuration information of an information service system needing to be evaluated, and forming a plurality of security evaluation examples; assigning a priority to each security evaluation instance; adding the security evaluationinstance into a message queue as a message object; sorting the security evaluation instances in the message queue according to priorities from high to low; and taking out the security evaluation instance from the message queue for execution and obtaining a security evaluation result. According to the method, information service security evaluation can be realized on the premise of easiness in use, high efficiency and low cost.

Embodiments of the present invention provide a method of preprocessing data. The method comprises the following steps of: extracting a characteristic variable of a source data set; Determining a feature interval of a source data set according to the feature variable; Dividing the feature interval into a plurality of sub-feature intervals; Processing data belonging to the plurality of sub-feature intervals. The invention improves the efficiency of data preprocessing and enhances the expandability of the data preprocessing module without increasing the operation and maintenance cost. In addition, embodiments of the present invention also provide an apparatus for preprocessing data, a piece of equipment, and a computer-readable storage medium.