19 results about "Channel network" patented technology

The application discloses a flow channel network inversion method based on distributed optical fiber monitoring heat-flow response and belongs to the field of energy exploitation. The method comprises the following steps: a, carrying out periodic water injection test, adopting distributed optical fiber temperature sensing to acquire temperature monitoring data of a target layer section, and adopting distributed optical fiber acoustic wave sensing to acquire acoustic wave monitoring data of the target layer section; b, interpreting the temperature monitoring data, identifying and extracting temperature response data at different injection / production positions; interpreting the acoustic wave monitoring data, identifying and extracting flow monitoring data at different injection / production positions; c, based on the real-time acquired temperature response data and flow monitoring data at different positions, combining an inversion method, inverting the geometric structure and parameters of the flow channel network, reconstructing the distribution of the flow channel network, and completing the inversion of the flow channel network. The application can improve the accuracy of the inversion result and realize more fine depiction of the underground thermal reservoir flow channel network structure.

The application discloses a service data flow protection method based on a multi-medium channel, and comprises the following steps: S1, forwarding plane multi-medium channel network topology sensing; S2, service multi-path planning of a control plane controller software based on the multi-medium channel; S3, switching of a protection path of a forwarding layer device based on the multi-medium channel; and S4, fault tunnel repairing of a control plane based on the multi-medium channel. The application can reduce the interruption risk of user service flow and improve the stability of a packet transmission network.

Disclosed are implantable devices, systems, and methods of fabricating, testing, optimizing, and / or implanting such devices. An implantable device includes a body, a first intrinsic channel network formed in the body and configured to receive cells, and a second intrinsic channel network formed in the body and configured to allow for active flow of a fluid to support viability and / or function of the cells in the first intrinsic channel network. The first intrinsic channel network comprises a first channel and the second intrinsic channel network comprises a second channel, with at least segments of the first and second channels parallel to and spaced apart from each other. Cells may be suspended in a collagen matrix and introduced to the first intrinsic channel network.

The application provides a Wi-Fi fault diagnosis method, device, equipment, storage medium and program product, the method comprises the following steps: in the case of receiving a fault diagnosis instruction, the air interface message corresponding to the Wi-Fi channel is acquired in real time; the air interface message is analyzed and processed, and a plurality of channel network parameters of the Wi-Fi channel are obtained; the Wi-Fi channel is scanned in the frequency spectrum, and channel utilization parameters are acquired; the channel utilization parameters comprise Wi-Fi device channel utilization and non-Wi-Fi device channel utilization; according to the channel network parameters and the channel utilization parameters, a target fault diagnosis model is used to determine a target fault diagnosis result. In this way, the electronic equipment performs fault diagnosis based on a plurality of channel network parameters and channel utilization parameters, improves the comprehensive diagnosis capability and the accuracy of fault diagnosis; meanwhile, based on real-time data acquisition and monitoring of non-Wi-Fi device channel utilization, the real-time performance and accuracy of fault diagnosis can be improved.

The present application relates to a kind of FC network fault prediction methods of supporting asynchronous state perception and rhythm-driven refresh, belong to vehicle network communication technical field.The present application method includes: each network node respectively link state information dynamic determination reporting period and report state report frame;Center management node obtains the state information of each node connected link in the current processing period based on the state report frame and historical state information received in the current processing period, dynamically adjusts processing period based on the state information of the current processing period, and carries out network fault risk prediction, and the network optimization instruction frame carrying network optimization instruction is issued to optimize network.The present application method realizes the linkage response between the adaptive regulation and control of state information reporting rhythm, the real-time refresh of asynchronous state completion estimation, risk prediction and optimization control for center management node, improves the timeliness and stability of vehicle optical fiber channel network under the condition of asynchronous state upload.

This invention discloses a method for predicting hydraulic lines in slurry pipelines by integrating a physical model and a dual-channel network, belonging to the field of slurry transportation technology. The invention collects slurry pipeline data, performs preprocessing on the collected data, and dynamically merges adjacent approximate slope segments using an adaptive pipeline segmentation algorithm. Based on the preprocessed data and the merged pipeline segments, a dual-channel deep neural network is constructed to process global operating conditions and local terrain features respectively. Finally, the prediction results are analyzed and visualized. This invention integrates a physical model into the dual-channel neural network and incorporates local terrain features to predict the distribution of hydraulic lines. By segmenting the entire pipeline, the model's prediction results closely match the actual results, providing an effective technical solution for the safe and efficient operation of slurry pipelines.

The application discloses a kind of high-efficiency scheduling methods of blockchain payment channel network transaction, comprising: defining payment channel network transaction scheduling problem, under the condition that transaction both sides node selects execution transaction scheduling strategy, execution node sets multiple constraint conditions with network throughput maximization as target, and the transaction scheduling optimization problem is modeled for the transaction scheduling problem in the buffer zone of both sides, to obtain transaction scheduling optimization problem;For the problem, the execution node utilizes the encoder model to extract the static features and dynamic features of each transaction in the current input sequence, to obtain the encoder output vector of each transaction, and the encoder output sequence is formed by merging;The execution node utilizes the decoder model based on attention mechanism and mask mechanism to make transaction sequence decision in a self-iterative manner to the current obtained encoder output sequence, and outputs the transaction sequence after continuous iteration to schedule both sides to complete transaction.The application can reasonably schedule the transactions in the buffer zone, improve the throughput and reduce the average waiting time of transactions.

The application provides a chain-on-chain-off cooperative distributed trusted sandbox construction method and related device, which is applied to a target node in a distributed system. The target node and other nodes in the distributed system form a state channel network to cooperatively execute a distributed task. An electronic device obtains budget information pre-allocated for a to-be-executed task; the budget information includes a preset state recording number and a budget cost; in the execution process of the to-be-executed task, task state information of each task stage is collected according to the state recording number; wherein the task state information includes an actual cost generated in the corresponding stage; a transaction record is generated based on the task state information, and the transaction record is submitted to the state channel network as an off-chain transaction, so that after the to-be-executed task is completed, other nodes compare the final accounts of all transaction records with the budget cost to verify whether the task execution process of the target node is trustworthy.

The application discloses a flexible printed circuit board wiring optimization method based on laminar flow closing sequence, and is oriented to the same layer high-density parallel wiring scene after layering. The method constructs a wireable domain based on the plate shape boundary and the forbidden wiring area, extracts a skeleton channel network, and quantifies the available width on both sides of the channel to form a channel graph with capacity constraints. The same layer line group is expanded into a wiring instance according to the number of parallel roots, a wiring sorting algorithm based on the laminar flow closing sequence is proposed, and the wiring priority of the wiring instance is determined through the 'close first and open later' stack matching rule of the clockwise scanning of the port. Then, the incremental wiring is performed under the capacity constraint according to the sequence, a geometric path meeting the line width, line spacing, safety margin and minimum bending radius is generated, and space occupation update and conflict avoidance are realized through area write-back. The method can reduce the risk of shared channel crossing and crossing, improve the success rate of automatic wiring and manufacturability. At the same time, the manufacturability and regularity of the wiring result are optimized.

Title: Cooling Device Cooling device (100) for at least two electronic devices (1, 2), in particular two data center servers, the cooling device (100) comprising: a sealed receptacle (110) comprising at least first and second separate electronic device (121, 122) slots (1, 2) configured to each receive one of the electronic devices (1, 2), and configured to receive dielectric fluid (30) intended to immerse, at least partially, the electronic devices (1, 2), at least one first plate-type heat exchanger (4) configured to define a bottom (112) of the sealed receptacle (110), the first heat exchanger (4) comprising a network of channels (14) configured to circulate a heat transfer fluid (35) so as to cool the dielectric fluid (30) contained in the sealed receptacle (110),the channel network (14) comprising at least one first heat transfer fluid path (41) and a second heat transfer fluid path (42), in particular at least one second heat exchanger (5) connected to at least one of the first fluid path (41) and the second fluid path (42) of the first heat exchanger (4), in particular downstream thereof, and configured to cool a component (11, 12, 21, 22) of one of the electronic devices (1, 2), for example by direct contact between the second heat exchanger (5) and this component (11, 12, 21, 22). Figure for the abstract: Fig. 3,

This application provides a communication method, communication device, system, and computer-readable storage medium. The method enables joint compression and prediction based on a TCN (Transmitted Channel Network) variable-output encoder and decoder architecture. The length of the compression vector is adjusted according to the temporal correlation of the channel to determine the prediction window length. Furthermore, during prediction, a matching output layer can be selected from the K output layers corresponding to the decoder based on the variable-length compression vector, and the model algorithm associated with that output layer is used for prediction. Moreover, during training, model parameters and configuration parameters can be optimized based on the loss function between the predicted channel state information (CSI) and the corresponding true prediction value, thereby improving prediction performance. This process eliminates the need to call different AI / ML models for different scenarios, reducing local storage overhead and signaling overhead during model switching.

A heat exchanger includes a roll-bond evaporator having a heatpipe channel network spanning a primary panel area and at least one secondary multiple panel area, and at least one plurality of fins joined to at least one secondary panel area. The primary panel area is configured to receive electronic circuitry, heat transfer fluid is evaporated in heatpipe channels of the primary panel area, the heat transfer fluid is condensed in heatpipe channels in the secondary panel area(s), and heat is dissipated by the fins into an ambient environment. Secondary panel areas may be bent to bound a cavity and / or assume a generally cylindrical shape. The heat exchanger may be incorporated into a small cell radio node for 5G telecommunications.

The application belongs to the field of unmanned system cluster control and autonomous cooperation, and particularly relates to an unmanned system cluster acceleration synchronization method for multi-channel network interruption. A kind of unmanned aerial vehicle cluster system is modeled as a linear system model, and a multi-channel communication topology network and a distributed elastic controller of the unmanned aerial vehicle cluster system are constructed for the model. A Lyapunov function depending on the network interruption mode is constructed, and the exponential stability and gain conditions of the synchronization error system under different network interruption modes are established to cope with the synchronization error. The synchronization rate is characterized as an optimization problem characterized by single-channel attenuation rate and network interruption duration constraints. Then, an iterative optimization algorithm is designed to solve the controller gain under different network interruption modes to achieve accelerated synchronization. Finally, the proposed method is simulated and verified, and the results show that the method can effectively solve the problem of accelerated synchronization of unmanned system cluster under multi-channel network interruption.

The application discloses a cross-working-condition fault diagnosis method and device combining space-time feature fusion and parameter hierarchical transfer, and relates to the technical field of cross-working-condition fault diagnosis. The method comprises the following steps: obtaining operation data of equipment in an original working condition and a target working condition; performing normalization processing on the operation data of the original working condition and the target working condition, and constructing an original working condition data set and a target working condition data set; constructing a fault diagnosis model of a space-time dual-channel network with a parallel CNN-BiGRU as a main framework; pre-training the model by using the original working condition data set, and obtaining an optimal parameter set; constructing a transfer model with the same structure as the fault diagnosis model; transferring the optimal parameter set to the transfer model, and freezing all parameters of the CNN layer and the BiGRU layer; training the transfer model by using the target working condition data set, and outputting a trained fault diagnosis model; and inputting operation data of equipment to be diagnosed into the trained fault diagnosis model, and outputting a fault diagnosis result. The application can improve the accuracy of fault diagnosis.

The utility model discloses an electrolytic bath bipolar plate comprehensive performance simulation detection system. A bipolar plate assembly is arranged on a bottom plate; the cover plate is arranged at the top of the bipolar plate assembly, the anode sides of the bipolar plates face the side where the cover plate is located, and the cover plate is made of a transparent material; the isolation plate is arranged between two adjacent bipolar plates, a first airflow simulation unit is arranged on one side, facing the bipolar plate located above the isolation plate, of the isolation plate, and airflow needed by detection can be provided for the cathode side of the corresponding bipolar plate through the first airflow simulation unit. The bottom plate, the cover plate, the isolation plate and the bipolar plate are adopted to achieve simulated assembly of the electrolytic cell, water and gas are supplied to the bipolar plate assembly to simulate the actual working conditions of the bipolar plate on the anode side and the cathode side, the structural performance of a micropore flow channel network and the structural performance of a gas circulation network can be detected at the same time, and the actual working conditions of the bipolar plate can be better simulated; and the accuracy and reliability of simulation detection are improved.

The application discloses a network transmission protocol networking supervision system and method based on UDP, relates to the technical field of network supervision, and comprises a protocol sequencing end, an instruction simplification end and a protocol calling end. The protocol sequencing end is used for collecting data protocols of UDP data packets in real time and sequencing and arranging the data protocols received in real time. The instruction simplification end is used for integrating multi-channel network protocols into a unified model instruction, setting a model to simplify multi-channel instructions in real time. The protocol calling end is used for detecting the real-time state of network protocol sequencing in real time when the instruction protocol is normal, tracking whether the network protocol sequencing is repeated in real time, and matching corresponding network protocols according to a deviation value to call protocols when the instruction protocol is abnormal. The network transmission protocol networking supervision system and method based on UDP can guarantee the order of data packets, can quickly simplify instruction operation, and is beneficial to quick calling and rewriting in network deployment.

This invention provides a method and system for designing the internal heat dissipation channel network topology of a three-dimensional stacked chip package, relating to the field of chip heat dissipation technology. The method includes acquiring data such as heat flow distribution, constructing a thermal network model, identifying high-temperature accumulation areas as priority locations for heat dissipation channel placement, generating an initial heat dissipation channel topology and expressing it parametrically, establishing an optimization model with the goal of minimizing thermal resistance, considering interconnect via layout and mechanical stress constraints, and finally generating an optimized heat dissipation channel topology, which effectively improves the heat dissipation efficiency and system reliability of the three-dimensional stacked chip.

This invention discloses a landslide susceptibility assessment method based on a heterogeneous integrated dual-channel network, belonging to the field of geological disaster prediction technology. This method constructs a multi-source heterogeneous evaluation factor system encompassing topography, geology, and environment. It employs HistGradientBoosting, XGBoost, and CatBoost heterogeneous primary learners for K-fold out-of-fold meta-feature extraction, addressing the problem of insufficient information representation by single models. Furthermore, it constructs a dual-channel deep network consisting of "original feature 1D-CNN + attention" and "meta-feature Bi-LSTM + self-attention," achieving complementary fusion of static environmental variables and dynamic model confidence, significantly improving the model's ability to identify hidden landslide hazards. Finally, it generates a five-level susceptibility zoning map based on GIS raster computation and the natural breakpoint method. Experiments validated in typical mountainous areas showed an AUC of 0.899, outperforming traditional single and conventional Stacking models, providing high-precision technical support for land planning and disaster prevention in mountainous areas.

A neural lattice device includes a substrate having formed therein one or more wells and one or more supply ducts. A channel network includes one or more channels configured to establish fluid communication among the at least one well and the at least one supply duct. A reservoir is coupled to the substrate and configured to hold a fluid, and a cover is disposed against an upper surface of the substrate and configured to hermetically seal the wells, the supply ducts and the channel network.