107 results about "Dual network" patented technology

According to the incineration pollution cooperative control method based on multi-target reinforcement learning, a multi-modal sensor array is deployed in a hearth, a flue and a fly ash processing unit, multiple parameters such as combustion temperature and flue gas retention time are collected in real time to construct a high-dimensional dynamic characteristic matrix, and data collection and processing are carried out to meet subsequent model requirements. Based on the dynamic characteristic matrix, defining three types of objective functions of pollutant emission minimization, fly ash metal recovery rate maximization and resource cost minimization, adopting a depth deterministic strategy gradient algorithm to construct a multi-objective reinforcement learning joint optimization model, and taking a combustion air ratio and the like as an action space; and strategy exploration and value evaluation are realized through a dual-network structure. Meanwhile, a priority evaluation module based on fuzzy logic is constructed, the weight coefficient of an objective function is dynamically adjusted according to real-time working conditions, and dynamic weight distribution and multi-objective collaborative optimization control are achieved. According to the method, multiple targets in the waste incineration process can be effectively balanced, the incineration efficiency and the resource utilization level are improved, and pollutant emission is reduced.

The invention discloses a voltage regulation and control method and system suitable for a distributed energy storage photovoltaic transformer area of a power distribution network. The method comprises the following steps: establishing a transformer area active power distribution network model for carrying out voltage regulation and control by considering distributed photovoltaic, wind power, an energy storage system, a static var compensator and a load node; a voltage regulation problem is modeled as a Markov decision process, a state space comprises multi-source power information and energy storage state information, and an action space is controlled quantities of a static var compensator and an energy storage system; a Markov decision is solved by adopting a depth deterministic strategy gradient algorithm based on Actor-Critic dual networks, a control action is generated through a strategy network Actor, and a current strategy is evaluated through a value network Critic for training; and inputting the trained strategy network based on the current observation state, outputting an optimal energy storage active / reactive power output and SVC reactive power compensation control instruction, realizing online adjustment of node voltage, and realizing stable control of transformer area voltage.

The invention discloses a data consistency verification method for dual-network communication of a digital substation, and relates to the technical field of operation data monitoring. The digital network A and the digital network B are arranged, time correction pulses are sent to the digital network A and the digital network B, then time synchronization of the digital double networks is completed, a plurality of collection cores are arranged in the digital network A and the digital network B, multiple fault-tolerant mechanisms are set for the collection cores, and the time synchronization of the digital double networks is completed. The message data in the operation process of the transformer substation is acquired through the acquisition core, the acquisition process is monitored through a multiple fault-tolerant mechanism, structured analysis is performed on the message data, and then a corresponding SV message detection data table and a GOOSE message detection data table are generated; and sequentially comparing the SV message detection data tables of the digital network A and the digital network B with each channel data in the GOOSE message detection data, and judging an abnormal digital network according to a comparison result.

The invention discloses a home appliance dual-network hub site selection planning method based on a hybrid heuristic algorithm. The method comprises the following steps: firstly, modeling a home appliance dual-network hub site selection planning problem into a mathematical model taking the minimum comprehensive cost as an optimization target; and then, solving by using a hybrid heuristic algorithm. The algorithm is a priority competition allocation algorithm based on a simulated annealing framework. Two attribute indexes of a comprehensive load coefficient and a distance sensitivity coefficient of a site are defined, the competition degree of the site for hub resources and hub distance sensitivity of the site are quantified, a reasonable distribution sequence is determined, resource conflicts are reduced, efficient configuration of hub resources of a sales service network is achieved, and the service efficiency of the sales service network is improved. The problem that a traditional clustering method is low in solving quality is effectively solved.

The invention discloses a carrier rocket avionics system based on a TSN (Time Sensitive Network) and a carrier rocket avionics data transmission method, and belongs to the technical field of carrier rocket control. A network is physically or logically divided into a periodic time-sensitive data stream, a high-speed time-sensitive data stream and a best effort data stream, the three data streams are subjected to isolation management, and transparent interconnection between a 1553B bus network and a TSN switching network is realized on a protocol layer through an intelligent protocol conversion gateway. Meanwhile, in a network management layer, through an instruction response type configuration protocol, common Ethernet equipment is seamlessly incorporated into the global scheduling and control category of the TSN network. According to the invention, by constructing the avionics network system with three-layer partition and dual-network fusion, multi-network seamless fusion on the rocket can be realized, the real-time performance of the network is improved, and the key requirements of rocket recovery are met.

The invention discloses an RDMA (Remote Direct Memory Access) dual-network-card active-standby switching method and equipment, and the method comprises the steps: intercepting an RDMA call of an application program through a built-in RDMA function library of a middle library, and if the RDMA call is intercepted, responding to the RDMA call through the built-in RDMA function library to carry out RDMA communication, the method comprises the following steps: mapping resources required by RDMA communication into resources of a middle library so as to enable an application program to directly access the resources of the middle library, monitoring the change of an RDMA network card through the middle library, and performing secondary reconnection by using a standby RDMA network card when monitoring that a main RDMA network card has a fault; and after the reconnection is successful, switching the resource of the middle library of the associated main RDMA network card to the associated standby RDMA network card so as to continue the RDMA communication. The invention aims to solve the problem that communication cannot be taken over when the network cards fail in the RDMA technology, and quick and stable main-standby switching is realized for the RDMA dual network cards.

The application relates to a small-sample residual life prediction method based on task incremental meta-learning, which comprises the following steps: acquiring a multi-element sensor failure signal and an actual residual life of an airplane engine, and pre-processing and selecting the signal; constructing a dual network, including a meta network and an auxiliary network, wherein the meta network regards the mapping of sensor data of each device to the residual life as a regression task, and automatically learns a task-specific model of each device by using meta learning; the auxiliary network generates pseudo labels for unlabeled samples of non-failed devices; the dual network is trained based on labeled data of failed devices and unlabeled data of non-failed devices by using a task incremental training algorithm; the pseudo labels of test device samples are predicted by using the auxiliary network, the meta network is updated to a task-specific model based on a pseudo label support set, and the residual life of the test device is predicted by using the task-specific model. Compared with the prior art, the application can realize accurate residual life prediction under a small number of failure samples.

The invention provides a cooperative control system for dual-network heterogeneous equipment, and the system comprises a master station which communicates with a relay station through a first industrial network; at least one substation communicating with the relay station over a second industrial network; wherein the master station and the sub-station carry out data synchronization through a data synchronization method. According to the invention, through the collaborative architecture of the master station, the substations and the relay stations, in combination with the dynamic protocol conversion and dual-network data mirroring technology, the problem of data synchronization among heterogeneous network equipment is effectively solved, meanwhile, the continuous operation of the system is ensured by using a hardware accelerated fault isolation mechanism, and the method has the effects of improving the reliability and flexibility of the system and reducing the downtime.

The invention provides a semi-supervised deep learning image restoration enhancement method based on dual-network cooperation. The method comprises the following steps: constructing a dual-task branch image restoration network, training the dual-task branch image restoration network by adopting a teacher-student semi-supervised training mode, and performing feature extraction and restoration enhancement processing on a to-be-restored image by a restoration branch in the trained dual-task branch image restoration network, outputting the restored image, the low-order semantic features and the high-order semantic features, fusing the low-order semantic features and the high-order semantic features by an evaluation branch, and obtaining a structural similarity index SSIM score matrix by using a self-attention mechanism; and according to the SSIM score matrix, determining the confidence coefficient of pseudo label screening in the training process of the teacher-student semi-supervised training mode of the dual-task branch image restoration network. According to the method, values of a large number of low-quality samples and a small number of high-low-quality paired samples are fully mined, high-quality pseudo labels are generated, and accurate restoration and enhancement of trackside images are realized.

The application discloses a mobile cart for use in a hospital environment, and more particularly discloses a technique for equipping a mobile device with two different types of wireless communication devices, one of which is part of a mesh network, the mesh network may serve as a backup path to route data to the Internet. When the Wi-Fi connection fails or is weak, a mobile device, such as a mobile cart, may dynamically switch to a mesh network. This dual network approach enhances the reliability of data transmission, reduces the dependency on a single type of network, and ensures continuous operation, which may be important in certain environments, such as in a health care environment.

Generally described, one or more aspects of the present application relate to providing a casting server that can pair specific user devices to appropriate corresponding casting devices and control the network communication between the user devices and the casting devices, such that only the casting devices or display devices that a given user is authorized to access are made visible to the user via the user's device. By doing so, the user is prevented from accessing or casting the user's content to other casting devices and display devices to which the user may not have access such as those in other users' rooms.

This application discloses a dual-network synchronous switch and a dual-network synchronous switching method, relating to the field of network communication technology. The dual-network synchronous switch comprises a field programmable gate array (FPGA) and a central processing unit (CPU). The FPGA includes a high-speed interface processing module, a time frame module, a MAC processing module, a clock synchronization module, a time maintenance module, an FPGA time interaction module, and a data exchange module. The CPU includes a data processing module, a CPU time interaction module, and an Ethernet MAC module. This application implements clock information exchange through the FPGA time interaction module and the CPU time interaction module, and data exchange through the data exchange module and the data processing module. The Ethernet MAC module encapsulates the received clock information and data, which can then be communicated with other networks after encapsulation, thereby achieving clock synchronization and data exchange between the dual networks.

The application discloses a double-network redundancy transmission method and device based on link selection, and the method comprises the following steps: a data sending node duplicates message data and sends the message data to two independent parallel transmission networks through two network cards; when the data receiving node receives the message data sent by the data sending node from the corresponding transmission network through any one of the two network cards, the data receiving node checks a built-in node link state table, judges whether the record of the data sending node exists, if the record exists, judges whether the message data is sent according to the record of the data sending node, and updates the record of the data sending node in the node link state table according to the message data; if the record does not exist, the record of the data sending node is added in the node link state table, and the message data is sent according to the record of the data sending node; the application can construct two physically completely independent networks, and data can be transparently, efficiently and reliably transmitted in the two networks.

The present invention relates to the field of distribution network technology, and specifically to a dynamic two-layer optimization scheduling method for an electrified transportation-distribution network, comprising: constructing an objective function of a distribution network optimization scheduling model with the goal of minimizing the sum of active network losses of the distribution network in all time periods within the scheduling time; constructing constraints for the distribution network optimization scheduling model; constructing dynamic equilibrium constraints in the transportation network optimization scheduling model based on the mixed DUE state of the transportation network under an equilibrium path dispatch rate; constructing dynamic equilibrium differential variational inequalities in the transportation network optimization scheduling model; and constructing a dynamic two-layer optimization scheduling model for an electrified transportation-distribution network with the distribution network optimization scheduling model as the upper model and the transportation network scheduling optimization model as the lower model. The present invention controls the temporal and spatial distribution of charging electricity prices and thus controls the comprehensive travel cost of users to achieve orderly charging, optimize traffic flow distribution, effectively reduce distribution network losses, fully utilize the flexibility resources of the dual networks, and smooth out load fluctuations.

A server device for managing a hybrid satellite and terrestrial telecommunications network system for Internet of Things (IoT) devices receives monitoring data from IoT devices. Each of the IoT devices includes a dual network interface controller (NIC) configured to facilitate the connection of the respective IoT device to a terrestrial network and a satellite network and sensors for capturing the monitoring data. The monitoring data includes network infrastructure integrity data and environmental data that describes environmental conditions surrounding a respective IoT device. The server device determines that the terrestrial network is experiencing an interruption using the monitoring data and identifies a group of IoT devices to be switched from the terrestrial network to the satellite network using the monitoring data. The server device can cause the group of IoT devices to switch communication from the terrestrial network to the satellite network.

The invention relates to the technical field of power system automation, in particular to a circuit breaker operating mechanism secondary circuit system suitable for a 110kV intelligent substation and a control method, the system adopts a layered architecture of a primary equipment layer, a secondary equipment layer, a station control layer and a dual-network redundant communication network, and is configured with equipment such as a high-precision sensor and a dual protection device; and equipment compatibility and data intercommunication are realized by following the IEC61850 standard. The control method comprises the five steps of state information collection, intelligent diagnosis, misoperation prevention locking, programmed operation and remote maintenance, and the operation success rate is guaranteed to be 99.99% through a dual mechanism of electrical hard contact and networked soft locking and a two-stage diagnosis mode of edge calculation and station level fusion analysis in cooperation with triple verification of programmed operation. The system solves the problems of isolated island, high misoperation risk and the like of traditional loop information, realizes full-dimensional state monitoring and predictive maintenance, adapts to the automatic and intelligent requirements of an intelligent power grid, and improves the safety and reliability of a transformer substation.

The invention relates to the technical field of power system monitoring, in particular to a power transmission line icing thickness detection method, system and device based on dual-network fusion and a storage medium. A power transmission line image is obtained through a dual mode of manually holding a camera and an unmanned aerial vehicle, and the image is subjected to denoising, enhancement and segmentation preprocessing; performing deep feature extraction on the preprocessed image by adopting a VGG16 network to obtain an icing thickness region; performing time sequence identification on the icing area by using a BLSTM network to obtain a to-be-verified feature set; calling identified icing type characteristics from a standard database to form a standard set; and calculating a similarity value through an Euclidean distance formula, and automatically judging the icing type based on threshold comparison. Through a dual-network fusion architecture, the deep feature extraction capability of the VGG16 network and the time sequence modeling advantages of the BLSTM network are fully played, high-precision automatic identification of icing detection is realized, the detection efficiency and accuracy are remarkably improved, manual intervention is reduced, and reliable technical guarantee is provided for safe operation of a power grid.

This application provides a control method and electronic device for a cellular network, relating to the field of terminal device technology. The method includes: when an electronic device interacts with an application server via a Wi-Fi network and a cellular network, the cellular network is requested by a first application and used by the first application and a second application that has not requested the cellular network. After the first application, as the last application to request and use the cellular network, switches from the foreground to the background and does not generate application data for a certain period of time, the cellular network access can be disconnected to prevent applications that have not requested the cellular network from continuing to use the cellular network when the electronic device has a Wi-Fi connection, thereby saving the phone's battery power in a dual-network environment.

A server device for managing a hybrid satellite and terrestrial telecommunications network system for Internet of Things (IoT) devices receives monitoring data from IoT devices. Each of the IoT devices includes a dual network interface controller (NIC) configured to facilitate the connection of the respective IoT device to a terrestrial network and a satellite network and sensors for capturing the monitoring data. The monitoring data includes network infrastructure integrity data and environmental data that describes environmental conditions surrounding a respective IoT device. The server device determines that the terrestrial network is experiencing an interruption using the monitoring data and identifies a group of IoT devices to be switched from the terrestrial network to the satellite network using the monitoring data. The server device can cause the group of IoT devices to switch communication from the terrestrial network to the satellite network.

The invention discloses a communication method, a storage medium and a computer program product, and relates to the technical field of network communication, and the method comprises the steps: obtaining a data packet at a first communication node, and transmitting the data packet to a bridge node through a first communication link when a cross fault occurs in independent dual networks; the bridging node identifies, splits and re-encapsulates the data packet, generates a new data packet and sends the new data packet to the second communication node through the second communication link; the second communication node responds to the acquired data information, generates a responded data packet and sends the responded data packet to the bridge node through a second communication link; the bridge node identifies, splits and re-encapsulates the responded data packet, generates a new responded data packet, and sends the new responded data packet to the first communication node through the first communication link; and obtaining the responded data information. According to the invention, the normal communication of the network can be ensured when the cross fault occurs in the independent dual-network mode.

The present invention provides a data security one-way ferry system and method, which relates to the field of data transmission technology, including: a burning lifting assembly, a reading lifting assembly, an in-and-out bin assembly, an optical disc box assembly and a main bearing plate; the in-and-out bin assembly is used to store optical discs and drive the optical discs to move; the burning lifting assembly is used to accurately burn the optical discs; the reading lifting assembly is used to accurately read the optical discs; the optical disc box assembly is used to rotate the optical discs; the main bearing plate is used to carry the burning lifting group, the reading lifting assembly, the in-and-out bin assembly and the optical disc box assembly. The present invention can facilitate staff to transmit data from a low-density network to a high-density network under the condition of meeting network security requirements, and at the same time, perform one-way physically isolated data transmission in a dual-network environment without wasting physical effort and energy, thereby reducing errors caused by manual operation and ensuring data security.

The application discloses a kind of wisdom simulation type nursing teaching device based on double-network interconnection, it is related to nursing teaching technical field, including simulation arm and the adjusting mechanism being set to simulation arm side, adjusting mechanism includes mounting plate and rotating component, rotating component includes first rotating piece and second rotating piece, the middle part of first rotating piece is rotatably connected with rotating column, the bottom of rotating column is fixedly connected with the top of mounting plate, the top of rotating column is provided with limit block;By rotating rotating component to rotate simulation arm, by pulling lifting assembly to adjust the vertical position of simulation arm, so that simulation hand wall can realize free height adjustment, rotation angle adjustment and rotation adjustment, so that teaching display and injection practical operation become very convenient in teaching process, help students to operate and teacher's teaching display, facilitate teaching display and practical operation.

The invention relates to the technical field of logistics, and discloses a logistics dual-network vehicle line management method, which comprises the following steps: acquiring planning data and operation data, acquiring planning data and actual operation data of an express network at a preset time frequency, and processing the acquired data; planning data and operation data are displayed, and a data display interface is provided; business indexes are calculated, and key business indexes are calculated according to the actual operation data and predefined business rules; operation abnormity judgment: comparing the key business indexes with preset abnormity judgment thresholds, and judging that operation abnormity occurs if the key business indexes exceed the corresponding abnormity judgment thresholds; and performing early warning and decision making, and identifying operation abnormity according to an operation abnormity judgment result. According to the invention, the operation abnormity can be actively and timely identified and the early warning is generated, so that the management action is converted from passive remedy to early warning in advance and intervention in the event, and the refinement level, the operation efficiency and the risk management and control capability of the lane management are improved.

The invention discloses a service sending method, a service receiving method and a related device based on a narrowband base station, relates to the field of communication, and specifically, a terminal user unit supporting broadband communication and narrowband communication can send a communication service according to a service type and broadband and narrowband network conditions monitored by dual networks when sending the communication service. And selecting a target network and sending the communication service through the target network. Compared with a scheme in which a narrowband network bears all services, the method and the device have the advantages that the purpose of sending different types of services by using different networks can be achieved, and on the basis, when the terminal needs to send a certain communication service, even if the terminal exceeds the coverage range of the narrowband network or narrowband channel resources are completely occupied, the terminal can send the communication service. And the terminal user unit can still use the available broadband network to establish communication, so that the limitation of limited coverage area of the narrowband private network and limited narrowband network resources on the terminal service is broken through to a certain extent.

The application discloses a method and system for keeping function numbers consistent in a 5G-R and GSM-R multimode railway special terminal, aiming at solving the problem of terminal function number consistency in a railway communication system dual-network coexistence scene. The steps are as follows: a function number service application module first receives user registration, logout, query or switching operation instructions, and then judges the network state (dual network, only 5G-R or only GSM-R); then, state processing is performed, the dual network is fused, the 5G-R dominates synchronization, the GSM-R queries as needed, and the single network is processed according to the corresponding logic; then, the function number state is collected, and the registration situation is displayed in a single function number + double network label; when the network switches, the function number is synchronized based on the pre-stored information, and the consistency and availability before and after the switching are ensured. The technical scheme of the application realizes unified management of dual-network function numbers, simplifies human-computer operation, reduces network service overhead, ensures the stability of railway dispatching communication, and has high application value.

The example system includes a processor for receiving data for a multi-objective task. The processor also performs the multi-objective task on the received data via a trained original network. The original network and the dual network are trained on the multi-objective task using a Lagrange loss function representing the multiple objectives. The original network is trained to minimize the Lagrange loss function, and the dual network is trained to maximize the Lagrange loss function.

The application provides a subway station high-precision positioning system and method based on 5G public and private networks, and belongs to the field of wireless communication and indoor positioning technology.The method comprises the following steps: performing multi-dimensional signal coverage analysis on the area in the subway station to generate a public network and private network signal strength distribution atlas; deploying a positioning terminal supporting 5G public network and private network dual-mode access according to the atlas, constructing a hybrid positioning network cooperated by the public network and the private network, and synchronously collecting double-network signal fingerprint feature data; and through 5G public network and private network dual-mode access and signal fingerprint dynamic fusion, the positioning precision and coverage range in the subway station are significantly improved, low-cost high-precision positioning can be realized in the public network coverage area, and data security and global consistency can be ensured in the private network deployment scene.

This invention relates to the field of substations and discloses a reliability analysis method for the communication network of a substation secondary system. Taking the overall failure of the substation communication network as the top event, and based on an autonomous and controllable substation safety partitioning architecture, the direct causes leading to the top event are decomposed into multiple intermediate events. A top-level fault tree model is constructed using logical OR gate relationships. Each intermediate event is recursively expanded hierarchically to form an initial subtree. Combining the characteristics of dual-network redundancy and dual-configuration of equipment, the redundancy mechanism is equivalent to AND gate logic and added to the initial subtree to obtain a partitioned subtree model. Equipment-level faults are extracted from the partitioned subtree as bottom events and standardized. Based on engineering statistical data, their failure rate and repair rate are determined. After calculating the unavailability, probability calculations are performed from bottom to top to obtain the overall system availability. This method can accurately output the overall availability of the substation secondary system communication network.

The invention discloses a network security detection system and method, and the system comprises a data collection module which is used for collecting corresponding security data from a plurality of data sources; the feature extraction module is used for extracting feature data from the security data and dividing the feature data into static feature data and time sequence feature data; the dual-network construction module is used for constructing a network threat identification model and training the model by using the feature data, and the network threat identification model is constructed through LSTM and MLP; the real-time threat detection module is used for performing feature extraction on the security data acquired in real time, inputting the security data into the trained model for real-time threat detection, and judging whether potential network security threats and attacks exist or not; and the early warning module is used for sending out instant early warning information when potential network security threats and attacks are detected. According to the invention, the threat detection accuracy in a complex network environment can be improved.

The application discloses a low-quality film image repair and enhancement method and system based on a dual network, and the method comprises the following steps: using an arbitrary scene segmentation method to segment an original video to be repaired into a plurality of video clips; extracting key frames of each video clip to form a key frame set, and extracting video frames in the original video to form a video frame set; combining the key frames and corresponding key frames repaired by a manual picture to form a low-quality-high-quality paired data set; the paired data set is divided into a plurality of groups and sequentially input into a pre-established and pre-trained pre-training repair and enhancement model, a transfer learning strategy is used for parameter updating, and a trained repair and enhancement model is obtained; the video frame set is input into the repair and enhancement model to obtain a repaired and enhanced picture set; and the picture set is recombined into a video according to an original video frame rate; wherein the pre-training repair and enhancement model is a dual network, comprising a generation network and a degradation network; and the trained repair and enhancement model is the generation network.