9results about How to "Avoid deployment" patented technology

An optical cable online operation and maintenance situation intelligent assessment method relates to the technical field of data processing, and comprises the following steps: obtaining physical parameters along an optical cable, and carrying out statistical analysis on the physical parameters to obtain a stability coefficient of the physical parameters along the optical cable; constructing a spacing distance comparison table, and laying Internet of Things monitoring nodes along the optical cable according to the stability coefficient of the physical parameters along the optical cable and the spacing distance comparison table; performing real-time monitoring on physical parameters and network performance indexes along the optical cable, and generating an abnormal alarm signal or performing situation analysis along the optical cable according to a monitoring result; when optical cable line situation analysis is carried out, feature extraction is carried out on physical parameters and network performance indexes in a historical acquisition period along an optical cable in advance, a state estimation model is constructed according to a feature extraction result, and estimation marking is carried out on a current acquisition period according to the state estimation model. The optical cable along the line is detected in advance according to a pre-estimation marking result, and the safety and reliability of an optical cable network are remarkably improved.

The present invention relates to the field of network security technology, and in particular to a network security protection method based on big data. The method comprises the following steps: obtaining original network traffic data through a data pipeline tool; dividing the original network traffic data into time windows to obtain time window traffic data; performing clustering feature description analysis based on the time window traffic data to obtain a traffic clustering label model; generating a normal traffic baseline model based on the traffic clustering label model and the time window traffic data to obtain a normal traffic baseline model. The present invention can continuously improve the security protection capability of the defense system and build a more secure and reliable network environment by continuously evaluating the performance of the defense system, analyzing the root causes of problems, and optimizing and iterating the defense system; it solves the shortcomings of traditional methods when attackers use big data technology to attack, and improves the overall intelligence level of the defense system and its ability to resist big data attacks.

The invention discloses a system privatization method and device, a privatization deployment system, equipment and a medium. The method is applied to a server corresponding to a first client, the first client is a client requesting a system deployment permission from a management end of a system, and the method comprises the steps of receiving a system deployment instruction sent by the management end under the condition that the management end verifies that the server meets a system deployment condition; performing private deployment on the system based on the system deployment instruction; receiving a system access request sent by a second client; in response to the system access request, using a license authentication service unit of a media service module in the system to perform system access permission verification on the second client; and under the condition that the second client passes the system access permission verification, the second client is allowed to access the system, so that the private deployment and private access of the system are realized, and the use security of the system is improved.

The present invention provides an integrated lightweight infrastructure structure safety monitoring method, which relates to the technical field of infrastructure monitoring. The integrated lightweight infrastructure structure safety monitoring method comprises the following steps: obtaining state perception data of the infrastructure structure through a perception sensor; judging the safety state of the infrastructure structure according to the state perception data of the infrastructure structure; and transmitting the judgment result of the safety state of the infrastructure structure to a network switch through a communication protocol. The present invention combines four dimensions of speed, displacement, acceleration, and inclination to evaluate the structural safety state, thereby avoiding the storage of a large amount of redundant data in a server or cloud platform, thereby solving the problem of many types of current infrastructure structure monitoring sensors and avoiding the lack of a unified interface communication standard for sensors from different manufacturers and collectors from different manufacturers.

Embodiments of the present application relate to a data synchronization method and a computing device. The method comprises: in a first management node and a second management node, deploying a controller component in the first management node or the second management node, determining the management node in which the controller component is deployed as a master node, and determining the management node in which the controller component is not deployed as a standby node; deploying a management service component on the master node, deploying a data synchronization component on the standby node, and synchronizing data in the master node to the standby node and a computing node through the data synchronization component; when the master node fails, migrating the controller component and the management service component to the standby node, and determining the standby node as a new master node; and when the standby node fails, migrating the data synchronization component to the master node, and continuing data synchronization by the migrated data synchronization component. In this way, high-availability and high-performance synchronization of data in a small-scale AI cluster can be achieved at a low cost without relying on expensive shared storage devices.

The application discloses a kind of video access systems and methods supporting multi-protocol fusion and intelligent stream media scheduling, it is related to industrial video monitoring technical field, the system includes: control layer, for signaling interaction with front-end equipment, complete front-end equipment management function;Intelligent stream media scheduling engine, for real-time acquisition terminal operating state, dynamic decision output protocol, coding parameter and transcoding strategy;Media layer, for according to the instruction of intelligent stream media scheduling engine, from terminal play module pull or receive original stream, execute transcoding and encapsulation operation, and distribute adapted media stream to terminal play module;Terminal play module, for executing the decoding and rendering of media stream issued by media layer, integration shared thread pool and hybrid rendering pipeline.The present application can seamlessly access most of the brand devices at home and abroad, avoid deploying independent system for different protocols, greatly reduce integration cost and operation and maintenance complexity, truly realize the unified management of heterogeneous devices.

A communication system is disclosed. The communication system includes: a network device including a plurality of communication ports; and a plurality of communication nodes coupled to the network device through the plurality of communication ports. The communication system further includes a controller configured to generate a security key and to send a new configuration along with a message authentication code to the network device. The controller is further configured to divide the security key into portions and send portions of the security key to at least some of the plurality of communication nodes, such that each of the at least some of the plurality of communication nodes receives one portion of the security key. The network device is configured to retrieve portions of the security key from the at least some of the plurality of communication nodes, and is configured to combine the retrieved portions of the security key into a new security key, and to authenticate the new configuration using the combined security key.

The invention discloses a building group virtual power plant real-time regulation and control method and system based on unmanned aerial vehicle cooperation. Comprising the steps that an unmanned aerial vehicle cluster flies to a preset position outside each building, and real-time temperature data collected by an indoor temperature sensor of the building are acquired through a wireless network; the virtual power plant control center takes the temperature data as representative values of the indoor temperatures of the buildings, obtains power grid dispatching requirements in combination with the real-time adjustable potential of the air conditioning systems of the buildings, and calculates and generates the optimal power regulating variables of the buildings by solving a preset optimization model; and according to the optimal power regulation quantity and the data acquisition time interval of each building, calculating a perception priority score of each building, and based on the score, by taking the minimization of the total task execution cost as a target, allocating a perception target building of the next regulation and control period to the unmanned aerial vehicle cluster. According to the invention, flexible acquisition of the building group temperature data and accurate regulation and control of the air conditioner load are realized, the real-time performance and reliability of the virtual power plant in response to power grid dispatching are improved, and the resource utilization rate is improved.

An intelligent evaluation method for online operation and maintenance status of an optical cable relates to the technical field of data processing. The method comprises the following steps: obtaining physical parameters along an optical cable, performing statistical analysis on the physical parameters, and obtaining stability coefficients of the physical parameters along the optical cable; constructing an interval distance comparison table, and deploying Internet of Things monitoring nodes along the optical cable according to the stability coefficients of the physical parameters along the optical cable and the interval distance comparison table; performing real-time monitoring on the physical parameters and network performance indicators along the optical cable, generating abnormal alarm signals or performing situation analysis along the optical cable according to the monitoring results; when performing situation analysis along the optical cable, performing feature extraction on the physical parameters and network performance indicators within a historical collection period along the optical cable in advance, constructing a state prediction model according to the feature extraction results, performing prediction marking on the current collection period according to the state prediction model, and performing early detection on the optical cable according to the prediction marking results, thereby significantly improving the safety and reliability of the optical cable network.