422 results about "Transmission network" patented technology

The invention is applicable to the technical field of power distribution network monitoring, and provides a power grid monitoring-oriented power adaptive congestion control method, which comprises the following steps of: acquiring a network performance index and a power grid operation parameter of a power grid monitoring data transmission network, and determining a congestion state of a current network through a preset congestion evaluation model; a 5G ad hoc network node connection strength coefficient, a new energy monitoring data priority label, a west-to-east transmission channel power flow fluctuation coefficient and a regional vulnerability index are used as decision variables, and the minimum weighted transmission delay, the packet loss rate and the maximum new energy consumption responsivity are used as objective functions. Generating a control strategy corresponding to the current network congestion state according to the hybrid intelligent optimization model fusing reinforcement learning and a genetic algorithm; executing the control strategy to dynamically adjust the network resources; monitoring the execution effect of the control strategy, and feeding the result back to the model to update the parameters; and therefore, the requirements of multi-target optimization and differential service quality in a complex power grid monitoring scene can be met.

The invention belongs to the technical field of network live broadcast, and particularly relates to a multi-live-broadcast-room matrix cooperative control system and a control method, a global unified clock reference system is established, and a public time axis covering all participating nodes is generated in a distributed calibration mode, so that audio and video streams of all live broadcast rooms are collected and played based on the same time reference, and therefore, the collection efficiency is improved. The synchronization deviation caused by clock drift is fundamentally eliminated; and a dynamic topology sensing type transmission network is further constructed based on the public time axis, each node periodically detects a link state and generates a score, an optimal transmission path set is generated in real time, and adaptive scheduling of data streams is realized. Therefore, accurate alignment of multiple paths of media streams in the time dimension is ensured, the end-to-end transmission delay is remarkably reduced, the audio and video synchronization precision and transmission stability in a cross-live-broadcasting-room interaction scene are effectively improved, and the overall audio-visual experience of a user is improved.

The invention relates to the technical field of power communication network security, in particular to a power communication network risk assessment method based on risk genes and a space-time large model. According to the technical scheme, the power communication network risk assessment method based on the risk gene and the space-time large model comprises the following steps that equipment sensor data, meteorological grid data and service topology data of a power communication transmission network are obtained in real time through a multi-source data acquisition module, and space-time alignment and feature coding are executed; a risk gene map is constructed, the risk gene map comprises a three-layer map structure of an equipment vulnerability gene, an environment threat gene and a business dependence gene, and a cross-space-time risk propagation rule is defined; a multi-modal space-time large model is trained, and a framework combining Transform and a space-time diagram convolutional network is adopted. A biological gene concept is introduced into power communication network risk assessment, gene-level fault traceability is achieved, and risk factors have combinability and interpretability.

The invention belongs to the technical field of electric power monitoring and dispatching, and discloses a real-time electric quantity monitoring and dispatching management system, which realizes high-precision and real-time electric quantity and related parameter acquisition through a quantum sensing electric quantity acquisition unit, and ensures high-efficiency circulation of data from acquisition to processing by matching with a high-speed and stable transmission network of a global dynamic data transmission unit; the edge calculation preprocessing unit timely processes data and reduces delay, so that the system can quickly obtain the real-time state of the power grid, timely basis is provided for scheduling decision, and decision errors caused by data lag are effectively avoided; by adopting a modular design, each core unit can be flexibly combined and expanded, the quantum sensing electric quantity acquisition unit supports various communication protocols, and the global dynamic data transmission unit fuses various communication technologies, so that the requirements of different scales of power grids can be met, special interfaces and lines do not need to be customized, and the construction and maintenance cost is reduced; and the applicability of the system in a complex and changeable power environment is obviously improved.

Systems and method to minimize conditions that cause sub-synchronous oscillation (SSOs) associated with series compensated transmission grids. The implementations ensures the correct development of methods and systems that can mitigate sub-synchronous oscillation (SSOs) associated with a series compensated transmission grid and enhance the series compensation efficiency. An example implementation is a network-based SSO mitigation technology, and another example implementation is a generator-based SSO mitigation technology. The discovery and example implementations are applicable to series compensated transmission networks with synchronous generators, induction generators, wind turbines, solar photovoltaic generators, charging stations, battery storage systems, high-voltage DC transmission systems, STATCOMs, inverter-based data centers, and other inverter-based resources.

The invention discloses a traditional Chinese medicine teaching and clinical simulation method and system based on a six-channel transmission theory, and particularly relates to the technical field of teaching simulation. The method comprises the following steps: acquiring disease course record data and symptom time sequence data, reconstructing a symptom evolution chain of each case and a corresponding six-channel identification label, and extracting six-channel disease course node time sequence characteristic data; the method comprises the following steps: constructing a single-path six-path transmission candidate network and a six-path transmission candidate topological network to obtain standard single-path six-path transmission network data and multi-branch six-path transmission topological structure data, and performing graph fusion and path weight re-calibration to generate six-path transmission topological network model data; and judging whether the current disease course node meets a trans-meridian bifurcation simulation triggering condition or not in combination with the symptom combination of the patient, and generating corresponding teaching feedback data and contrast learning data, so that a six-meridian transmission multi-branch nonlinear evolution process is presented in informatization teaching and clinical simulation scenes.

The invention relates to a joint beam and track design method for multi-unmanned aerial vehicle auxiliary sensing energy supply, which is expected to obtain better performance while considering multi-equipment position uncertainty and unmanned aerial vehicle energy consumption. According to the scheme, firstly, a system model and a two-stage sensing auxiliary energy transfer scheme are constructed, then the optimization problem of beam forming and associated scheduling in the sensing stage and the optimization problem of beam forming and trajectory planning in the WPT stage are established respectively, and the two optimization problems are solved by using an optimization algorithm, so that the sensing performance and the WPT efficiency of the system are maximized respectively. By establishing a simulation model for simulation and comparison, the advantages of the proposed algorithm are verified. The multi-unmanned-aerial-vehicle auxiliary sensing, communication and energy transmission network can well serve multiple communication users and multiple energy receiving devices, sensing auxiliary wireless power transmission is achieved, meanwhile, the communication performance requirement is met, and the multi-unmanned-aerial-vehicle auxiliary sensing, communication and energy transmission network has the great advantages in the aspects of sensing precision and wireless power transmission efficiency.

The invention discloses an emergency broadcasting method and system integrating a Beidou short message and a LoRa technology, and relates to the technical field of satellite communication and emergency broadcasting, in particular to the emergency broadcasting method and system integrating the Beidou short message and the LoRa technology. Comprising an emergency broadcast platform, a Beidou short message transmission network, a LoRa Internet of Things distribution network and a multimode emergency broadcast terminal. Cross-regional backbone transmission without dependence of a ground network is realized through a Beidou satellite link, and localized and low-cost data distribution and terminal access are carried out by using a LoRa network. The multi-mode terminal supports multi-channel receiving, broadcasting and state returning and has multi-energy power supply guarantee. According to the invention, an emergency information transmission system with integrated space and ground, longitudinal penetration and transverse cooperation is formed, and high reliability, wide coverage and rapid transmission of emergency information in an extreme environment are ensured.

The invention discloses an alternating-current and direct-current hybrid power transmission network rack optimization evaluation method and system, which are used for solving the technical problems that a traditional alternating-current and direct-current hybrid power transmission network rack evaluation method depends on static parameters or empirical data, cannot dynamically respond to cross-regional load fluctuation and the like, is difficult to cope with risks, and causes low quality of a rack scheme. The method comprises the following steps: generating comprehensive evaluation indexes of a plurality of grid schemes according to acquired operation data of an AC / DC hybrid power transmission network by adopting power system simulation software; constructing a fuzzy evaluation matrix of each grid scheme according to the comprehensive evaluation index of each grid scheme by adopting an improved descending semi-trapezoidal membership function and a Gaussian membership function; calculating a target weight corresponding to the comprehensive evaluation index of each grid scheme; and according to the target weight corresponding to the comprehensive evaluation index of each grid scheme and the fuzzy evaluation matrix, calculating the comprehensive score of each grid scheme, and selecting the grid scheme with the maximum comprehensive score as the target grid scheme of the AC / DC hybrid power transmission network.

The embodiment of the invention provides a multi-node parallel acceleration method, device and equipment based on a high-performance computing platform and an RoCE network and a medium, and relates to the technical field of cluster computing, and the method comprises the following steps: constructing a communication stack based on the RoCE network, and realizing an interconnection transmission network between nodes from a sending end to a receiving end; a computing task and a communication transmission task of the high-performance computing platform are executed through a CPU core binding technology of the high-performance computing platform; based on the transparent large page function, processing a memory allocation request initiated by an application program of an operating system and a request of the application program of the operating system for accessing a memory through a virtual address; before a main computing task of the high-performance computing platform starts, pre-processing is executed through multiple threads, open type multi-processing threads are started, the main computing task is executed through the multiple open type multi-processing threads, and a next round of pre-processing task is started in parallel. According to the scheme, parallel acceleration of multiple nodes in cluster calculation is realized.

This invention proposes a time-synchronized real-time bandwidth analysis method for SDH / PDH payloads, relating to the field of transmission network technology. The method includes: acquiring network status information of each network working node in the optical transmission network; preprocessing the original data frame set to obtain the average payload corresponding to each data frame, and calculating a dynamic estimate of the payload based on the average payload and historical average payloads; obtaining the network transmission resource allocation strategy for the optical link between any two adjacent network working nodes and the corresponding network transmission resource parameters according to preset constraints and the dynamic payload estimate; obtaining a comprehensive evaluation index for the current data frame based on the network transmission resource parameters and the payload bandwidth performance function, and adjusting the traffic allocation path of the optical transmission network according to the comprehensive evaluation index. This invention helps to achieve dynamic adaptive adjustment of network traffic.

The invention discloses a multidimensional communication sensing system integrating an optical transmission network and BOTDR / DAS distributed sensing, and relates to the technical field of optical fiber communication and optical fiber sensing. The system comprises an OTN transmission subsystem, an optical fiber link and a BOTDR / DAS fusion sensing subsystem. Wherein the OTN transmission subsystem is used for realizing high-capacity data transmission through an optical fiber link; and the BOTDR / DAS fusion sensing subsystem is used for realizing strain, temperature and vibration distributed measurement of an optical fiber link through a Brillouin scattering and Rayleigh backscattering mechanism. According to the system, a double-self-heterodyne demodulation architecture and a reverse wavelength division multiplexing mechanism are adopted, cooperative demodulation and high-isolation transmission of BOTDR and DAS signals are achieved under the common-fiber condition, and high-speed communication and distributed temperature, strain and vibration synchronous monitoring within the 100 km range can be achieved. According to the method, a technical foundation can be laid for realizing physical layer intelligentization of the in-service power OTN.

The invention provides a cloud edge-end cooperative service method, device and equipment. The method comprises the following steps: establishing a cloud edge time delay model and an edge-end time delay model; the cloud edge time delay model is used for minimizing the transmission time delay of the cloud and the edge side; the edge time delay model is used for minimizing the transmission time delay between the edge side and the terminal; and according to the cloud edge time delay model and the edge end time delay model, determining cloud edge routing information and an edge side resource allocation result. According to the embodiment of the invention, the cloud edge time delay model and the edge end time delay model are established, the cloud edge routing information is determined according to the congestion degree, throughput and the like of the cloud-edge network, and the return path of the XR data packet is effectively optimized so as to reduce the residence time of the XR data packet in the cloud-edge transmission network; wireless frequency band resources are reasonably distributed for the XR service according to the requirements of the XR service so as to accelerate the transmission rate of the XR service in an edge-end transmission network, so that an XR data packet from a cloud end or an edge side is transmitted back to a terminal user in a low-time-delay manner, and flexible and low-time-delay content delivery is realized.

The application relates to the technical field of substation operation and maintenance, and is a substation secondary test equipment on-site operation and maintenance system and method, which comprises the following steps: a control platform outputs an operation and maintenance command to secondary online detection equipment in a substation in combination with detection items, and receives and analyzes test result data; a cloud server transmits and stores data between the control platform and the secondary online detection equipment; the secondary online detection equipment performs online detection on a measured device of the substation in combination with the operation and maintenance command; a transmission network is connected with the secondary online detection equipment and the measured device respectively, and transmits related data information; and the measured device transmits detection information and autonomous digital message information back to the secondary online detection equipment in combination with information transmitted by the secondary online detection equipment. The application realizes remote full-automatic test on secondary equipment, greatly reduces labor cost, realizes intelligent, digital and remote operation of substation secondary equipment detection, and realizes 24-hour intelligent operation and maintenance of electric power.

A semiconductor device can include a backside contact over a backside power delivery network (BSPDN), a first doped region over the backside contact, a well region over the first doped region, a second doped region over the well region, and gate regions surrounding the well region.

This invention discloses a series-parallel hybrid power flow control method and system, applied in the field of power grid power flow control. The method includes: determining power grid demand information based on key operating data of the transmission network; determining the equivalent active power control quantity of UPFC, the equivalent power flow regulation quantity of SSSC, and the equivalent reactive power control quantity of STATCOM based on the quantification results of the demand information, the first constraint data of the series-parallel hybrid power flow control device, and the second constraint data of the transmission network; and injecting equivalent voltage and equivalent current into the transmission network through the series-parallel connection of UPFC, SSSC, and STATCOM to regulate the key operating data of the transmission network. When power flow control is required in the transmission network, this invention injects controllable voltage and current into the transmission network through UPFC, SSSC, and STATCOM to achieve adaptive control of power flow on transmission network lines.

This invention relates to the field of remote control technology for plant irrigation, and discloses a remote control method for irrigation of plants under bridges based on the Internet of Things. This method collects soil moisture gradient, light intensity distribution, and air temperature and humidity stratification data through a three-dimensional gridded sensor array, constructs a heterogeneous transmission network based on LoRaWAN and NB-IoT to achieve dynamic compression and encrypted transmission, establishes a digital twin model integrating BIM and point cloud data on a cloud platform, uses a fuzzy neural network to predict plant water requirements and generate zonal irrigation decisions, and performs timing optimization scheduling of multi-level PWM commands through an edge computing gateway to control a modular solenoid valve array to perform precise irrigation. This method solves the technical problems of insufficient environmental parameter acquisition dimensions, poor data transmission stability, limited dynamic control adaptability, and lack of system collaborative control capabilities.

The invention discloses a high-reliability communication system of an intelligent vehicle networking terminal, which is used for solving the problems of insufficient communication bandwidth and low reliability of multi-service vehicle-mounted terminals such as low-speed unmanned distribution vehicles. The system comprises a double 5G module multi-card hardware platform, a link quality sensing unit, a bandwidth detection unit, an intelligent scheduling unit and a data caching unit. A plurality of independent network channels are accessed to perceive link quality and available bandwidth in real time, and an intelligent scheduling unit classifies data according to QoS (Quality of Service) requirements and dynamically selects or aggregates channels for transmission: high-priority control instructions are preferentially guaranteed, low-priority perceived data are transmitted by utilizing the aggregated bandwidth, and low-priority data are cached when the network is congested. According to the invention, redundant backup and intelligent scheduling of communication links are realized, the connection reliability and data transmission real-time performance of key businesses are remarkably improved, the uplink demand of mass data is met, and a reliable communication basis is provided for large-scale operation of unmanned vehicles.

The application discloses a data transmission method and system of a heterogeneous network, the method comprising: acquiring network priorities of each available network within a preset range; acquiring data transmission information of a data packet to be transmitted, so as to divide a plurality of available networks into a plurality of primary transmission networks and a plurality of backup transmission networks; determining target transmission data streams of each primary transmission network; when the target transmission data streams are allocated to the primary transmission networks for data transmission, real-time monitoring of real-time primary network performance indexes of each primary transmission network and real-time backup network performance indexes of each backup transmission network is performed to determine a to-be-switched network in the plurality of primary transmission networks and a to-be-transmitted network in the plurality of backup transmission networks; and untransmitted data streams of the to-be-switched network are allocated to the to-be-transmitted network for data transmission, so that the efficiency of data transmission is improved.

1. The name of the design product: wireless adapter. 2. The use of the design product: for transmitting network signals. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

1. The name of the design product: wireless network card. 2. The use of the design product: for transmitting network signals. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a transmission method and a construction method of an adaptive vehicle-mounted video transmission network, and the transmission method comprises the following steps: monitoring transmission quality information in each link of a first vehicle-mounted video transmission network used for transmitting vehicle-mounted video transmission data flow in real time; generating a topology switching instruction in the case that the transmission quality information of each link of the first vehicle-mounted video transmission network meets quality deterioration conditions; and controlling a transmission node to switch from a first network topology to a second network topology by reconfiguring port mapping relations of the transmission node according to the topology switching instruction. Thus, the reliability and performance of the vehicle-mounted video transmission network can be ensured in various application scenarios, and the transmission efficiency of the vehicle-mounted video transmission network is improved.

The invention discloses a distributed photovoltaic aggregation frequency modulation standby optimal configuration method considering node frequency security constraints under transmission and distribution cooperation. The method comprises the following steps: describing uncertainty of photovoltaic aggregation frequency modulation capability by using a Gaussian mixture model, and establishing a power transmission network node frequency response model containing frequency space distribution characteristics; taking minimization of system power generation and frequency modulation reserve cost as a target, and combining opportunity constraint planning to construct an optimal configuration model; a response model is reduced based on a frequency divider theory, a Bernstein polynomial approximates frequency dynamics, and a differential algebraic equation is converted into an algebraic equation; then, binary expansion and Gaussian mixture model linear invariance are utilized to convert the model into a mixed integer linear programming model, and Bernstein polynomial convex hull property tightening constraint is combined; and finally, solving the model to obtain the optimal photovoltaic aggregation frequency modulation reserve capacity and control parameters. The frequency space distribution is accurately described, the problem of insufficient frequency safety risk identification is solved, and the frequency safety level of a power system is improved.

This invention discloses a two-stage recovery method and system for high-proportion wind power transmission networks that considers frequency security, belonging to the field of power system resilient construction. The method acquires all parameters of the transmission network topology, generating units, loads, wind power, and frequency to construct a flexible recovery model without defined zones. It employs a two-stage optimization: the first stage solves the dynamic topology of the transmission network without frequency constraints and obtains the zone results through BFS; the second stage constructs two types of frequency constraints—power fluctuation and load picking—based on a fixed topology, and solves to obtain a compliant recovery decision scheme. The system is equipped with modular functional units corresponding to the method to achieve automated decision-making. This invention solves the problems of difficulty in constructing time-varying topology frequency constraints for post-disaster recovery of high-proportion wind power transmission networks, frequency exceeding limits caused by wind power fluctuations, and poor recovery effects in fixed zones. It balances frequency security, load recovery efficiency, and solution speed, is adaptable to the complete blackout recovery of transmission networks after extreme disasters, and has strong engineering practicality.

The invention provides an off-grid ReP2A integrated system topology capacity collaborative planning method, and relates to the technical field of renewable energy source hydrogen production and synthesis ammonia, and the method comprises the steps: constructing a mixed integer second-order cone programming model covering a power network, energy storage, hydrogen production, hydrogen storage, hydrogen transmission and synthesis ammonia full-chain coupling constraint; wherein the mixed integer second-order cone programming model takes the minimum annual average comprehensive cost of the system as a target to collaboratively optimize equipment capacity configuration, power transmission and hydrogen transmission network topology and a system operation strategy; and solving the mixed integer second-order cone programming model by adopting a branch and bound Benders decomposition algorithm, and outputting a programming construction scheme. The scheme can solve the problems of high comprehensive cost and low operation efficiency of the system.

This invention relates to the field of air pollutant detection technology and discloses a method for detecting excessive emissions of air pollutants. The method includes: acquiring pollutant concentration data from multiple monitoring points in a target area to form a raw dataset; performing outlier detection and correction, removing sensor malfunction outliers to obtain a preprocessed dataset; extracting concentration change trend characteristics within a preset time window for each monitoring point to construct a spatiotemporal feature matrix; inputting the matrix into a pollutant diffusion model to calculate the transmission paths and intensities between monitoring points, generating a regional transmission network; identifying potential source areas of abnormal pollutant concentration fluctuations based on the network and marking them as candidate areas for verification; performing multi-scale concentration gradient analysis on the candidate areas to determine key monitoring areas; deploying mobile equipment in the key monitoring areas to collect high-precision component data; comparing this data with a standard emission source feature library, matching emission source types with similarity exceeding a threshold, determining whether emissions exceed standards, and generating a detection report.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform or cancel an uplink transmission in a subband full duplex (SBFD) resource based on whether the indicated uplink beam is enabled or restricted for SBFD. A network entity may monitor for or refrain from monitoring for an uplink transmission in an SBFD resource based on whether the indicated uplink beam is enabled or restricted for SBFD. A UE may be configured with a first uplink beam for half-duplex uplink resources and a second uplink beam for SBFD resources. The UE may perform uplink transmissions scheduled in SBFD resources using the first uplink beam. A UE may use a single uplink beam configured for both half-duplex uplink resources and SBFD resources, or a single uplink beam may be configured and restricted from SBFD resources, and the UE may cancel a scheduled transmission in an SBFD resource.

The invention provides a transmission network route generation method and device, equipment, a medium and a program product, and relates to the technical field of communication engineering, and the method comprises the steps: determining resource objects of a plurality of hierarchies, and distributing a corresponding unique identifier for each resource object; according to the unique identifier, establishing a hierarchical topological association relationship between the hierarchical resource objects to obtain a hierarchical resource model; adding corresponding attribute information to each resource object through a hierarchical resource model; determining a corresponding macroscopic routing direction according to the attribute information and the hierarchical resource model; determining a candidate routing scheme set according to the macroscopic routing direction and the hierarchical topology association relationship; screening the candidate routing scheme set according to the plurality of target dimensions to obtain a screened optimal routing scheme or a sorted candidate scheme list; wherein the target dimension comprises time delay, the number of nodes and routing preference; the method provided by the invention is used for realizing the technical effect of improving the generation efficiency and flexibility of the transmission network route.

The invention discloses an asymmetric access point deployment system for a non-cellular large-scale MIMO (Multiple Input Multiple Output) system. The asymmetric access point deployment system comprises L full-function access points TRP, M receiving dedicated access points RP, K user equipment UE and a CPU (Central Processing Unit), the TRP and the RP are connected to a central processing unit (CPU) through a forward transmission network, in an uplink transmission stage, all the TRP and the RP jointly receive uplink signals of the UE to form L + M paths of received signals, and the CPU jointly processes the uplink received signals from the L + M access points (AP); and in the downlink transmission stage, only the L TRP carries out downlink data transmission, and the CPU only distributes downlink transmission data to the L TRP. According to the method, the uplink capacity and coverage are remarkably improved with extremely low hardware and energy consumption cost while the downlink performance is guaranteed.