982 results about "Transmission network" patented technology

The invention relates to the technical field of atmospheric pollutant detection, and discloses a method and a system for detecting excessive emission of atmospheric pollutants. The method comprises the following steps: acquiring pollutant concentration data of multiple monitoring points in a target area to form an original data set; abnormal value detection and correction are carried out on the data set, sensor fault outliers are eliminated, and a preprocessed data set is obtained; extracting concentration change trend characteristics in a preset time window of each monitoring point, and constructing a spatial-temporal characteristic matrix; inputting the matrix into a pollutant diffusion model, calculating a transmission path and strength between monitoring points, and generating a regional transmission network; identifying a potential source region of abnormal fluctuation of pollutant concentration based on a network, and marking the potential source region as a candidate region to be checked; performing multi-scale concentration gradient analysis on the candidate area, and determining a key monitoring area; arranging mobile equipment in the key monitoring area, and collecting high-precision component data; and comparing the data with a standard emission source feature library, matching emission source types of which the similarity exceeds a threshold value, judging whether the emission exceeds the standard or not, and generating a detection report.

The invention provides an edge fusion diagnosis system and method for multi-source heterogeneous power transmission monitoring data, and belongs to the technical field of power transmission line monitoring. The multi-source heterogeneous power transmission monitoring data edge fusion diagnosis system comprises a multi-source heterogeneous data access module, a data preprocessing and standardization module, an edge computing node, an edge node collaborative diagnosis module, a data compression and feature extraction module and a cloud fusion analysis platform. The method comprises the following steps: accessing multi-source heterogeneous data, preprocessing and standardizing, locally diagnosing by an edge computing node, triggering multi-node collaborative diagnosis when the credibility is insufficient, and uploading key feature data to a cloud for global analysis and model optimization. According to the method, comprehensive integration and efficient processing of multi-source data are realized, the real-time performance, accuracy and comprehensiveness of power transmission monitoring diagnosis are improved, and the efficient monitoring requirement of a complex power transmission network can be met.

The invention belongs to the technical field of power systems, and particularly relates to a transmission and distribution cooperative scheduling optimization method based on multi-agent deep reinforcement learning. The method comprises the following steps: firstly, establishing a transmission and distribution cooperative scheduling distributed framework, and respectively establishing distributed optimization models taking the minimization of the operation cost of a power transmission network and the minimization of the operation cost of each active power distribution network as targets; secondly, converting a transmission and distribution collaborative scheduling problem into a Markov game model with a multi-agent benefit balance characteristic, and designing a collaborative multi-agent architecture; then interacting with a transmission and distribution interconnection environment through each agent to obtain historical interaction information, storing the historical interaction information into an experience pool, and training by using an MADDPG algorithm to realize iterative updating and optimization of an Actor network and a Critic network of each agent; and finally, realizing local optimization control of the power transmission network and each active distribution network by using an Actor network.

The invention provides an ecological environment dynamic monitoring method based on big data, and relates to the technical field of environmental pollution detection, and the method comprises the steps: collecting multi-source sensor data of a fixed monitoring station in an urban region, and carrying out the time alignment and space registration of the multi-source sensor data, thereby generating a standardized environmental monitoring data set. And on the basis of the data set, constructing a pollutant transmission network between the monitoring points to obtain a regional pollutant distribution characteristic graph, calculating a diffusion trend coefficient of pollutants in combination with regional wind direction data, constructing a pollutant migration path network, and generating a key supervision region map. According to the method, the pollutant concentration distribution can be dynamically partitioned, and the mobile monitoring equipment is scheduled to carry out gradient type point distribution monitoring, so that the accurate positioning of the pollution source is realized; the accuracy of pollutant diffusion trend analysis and the precision of pollution source positioning are improved, dynamic supervision of key areas is facilitated, the efficiency of environment monitoring and the fine management level are improved, and therefore the risk of environmental pollution is effectively reduced.

The invention discloses an asynchronous motor energy-saving monitoring and dynamic early warning method based on situation awareness, and relates to the technical field of asynchronous motor energy-saving monitoring. The method comprises the steps that S1, multi-source heterogeneous data are synchronously collected, power supply parameters and operation parameters are obtained in real time, and a frequency conversion working condition self-adaptive deviation value and a current stability coefficient are obtained; s2, generating four-dimensional situation factors including an overtemperature danger value, a current stability coefficient, a voltage stability coefficient and a frequency deviation value; s3, constructing a fourth-order transmission network, and generating a primary early warning signal based on the path mark combination; s4, calculating the motor efficiency in real time, triggering an efficiency abnormity mark, fusing the efficiency abnormity mark with the primary early warning signal, and reconstructing a final early warning instruction; and S5, executing hierarchical control according to the final early warning instruction. Through multi-parameter coupling and dynamic early warning transmission, the early-stage capture capability of the composite fault is improved, the early warning response delay is shortened, energy-saving optimization and fault protection of the motor are realized, and the method has a remarkable practical value.

The invention relates to the technical field of cable fault diagnosis and positioning, in particular to a cable fault positioning method and system based on multi-source data space-time correlation, and the method comprises the steps: obtaining partial discharge, traveling wave and temperature multi-source monitoring data from a high-voltage cable-overhead line hybrid power transmission network; on the basis of space-time correlation analysis of partial discharge and temperature data, heat-electricity associated defect points are calibrated; comparing traveling waves of the cable and the overhead line, and identifying and inhibiting cross-domain propagation interference; positioning the traveling wave data which are not identified to obtain temporary coordinates, judging fault characteristics by fusing information such as sheath ring current and the like, and comparing the temporary coordinates with defect points to generate matching identification; and inputting multi-dimensional information such as fault features, defect matching identification and temperature into the fusion model, calculating the confidence coefficient of a fault mode, and outputting a cross validation positioning result. According to the invention, high-reliability positioning of mixed line faults and active early warning of insulation defects are realized by carrying out space-time correlation and fusion decision on multi-source monitoring quantities such as traveling waves, partial discharge, circulation, temperature and the like.

The invention provides a communication and interaction method of a digital twinning system in a compressor blisk machining process, and relates to the technical field of digital twinning and aeronautical manufacturing, and the method comprises the steps: collecting vibration, temperature and acoustic emission data in the compressor blisk machining process in real time, analyzing machine tool machining data, carrying out the alignment and noise reduction of the collected data, and obtaining a digital twinning result; then time-frequency domain mixed feature extraction is carried out, and time-frequency domain mixed feature data are optimized and uploaded in a graded mode; a deterministic transmission network is constructed, data transmission priorities of 5G communication and LoRa dual channels are dynamically adjusted according to a network load, and intelligent switching between 5G communication and a LoRa protocol is realized based on a switching decision model; analyzing normal processing data of the whole stage of the processing process, and establishing a processing data thread; and predicting the abnormal processing risk in the processing process, and updating the model parameters. According to the method, the communication and interaction efficiency of the digital twin system in the machining process of the compressor blisk in the aero-engine can be improved.

The invention belongs to the technical field of power supply transmission, and relates to a POE-POF power supply transmission method and system, and a storage medium. The method comprises the following steps: collecting electric quantity data of POE-POF power supply transmission network nodes in real time, and extracting a dynamic power feature set; identifying an abnormal power loss event based on the feature set and extracting an abnormal mode feature; abnormal path nodes are positioned by combining a POE-POF power supply transmission network topological structure, voltage and current distribution parameters are optimized, and an optimized power distribution scheme is generated; dynamically adjusting voltage and current values of a power supply path, evaluating an energy consumption trend and generating a trend data set; and adaptively adjusting the electric quantity acquisition parameters according to the energy consumption trend, updating the acquisition configuration and circularly executing the steps. According to the invention, intelligent detection, accurate positioning and dynamic optimization of abnormal loss of the power grid are realized, the stability and energy efficiency of the power supply network are improved, and the method is suitable for fine management and energy-saving optimization of the intelligent power grid.

The invention provides a transient voltage stability control method and system based on transmission and distribution cooperation. The method comprises the following steps: constructing a power distribution network reactive power support capability quantification model; quantizing a reactive power support capability boundary in real time by solving a power distribution network reactive power support capability quantification model, and determining a reactive power support power feasible region capable of being provided; and based on a quantitative evaluation result, dynamically adjusting a reactive power interaction value between the power transmission and distribution networks by adopting an improved droop control strategy, and realizing power transmission network transient voltage stability control based on active support of the power distribution network. Power distribution is carried out according to the dynamic reactive power margin of the reactive power regulation equipment by considering the transient voltage support requirement of the power transmission network and the reactive power transmission loss of the power distribution network; and obtaining a reactive power regulation instruction, and coordinating reactive power resources at the power distribution network side according to transient voltage stability control and power distribution of the power transmission network to realize cooperative control. Based on the method, the invention further provides a transient voltage stability control system based on transmission and distribution cooperation. The optimal transient voltage support is provided for the power transmission network.

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 relates to the technical field of telecommunication. By providing the multi-domain strategy collaborative dynamic decision optimization method, system, equipment and medium, the method comprises the following steps: extracting cross-domain common characteristics of network layer topology, equipment state and alarm information, retaining differential characteristics of a transmission network and a data network, and generating a uniform resource data set; on the basis of the unified data set, a global optimization strategy is generated through linkage decision making of a three-level collaboration module; matching the strategy into an atomic instruction set executable by a heterogeneous network manager by utilizing semantic ontology mapping and syntax tree matching; and according to the instruction execution feedback data, dynamically adjusting the strategy weight and carrying out iterative optimization, and generating an updated global strategy, so as to achieve the technical effects of improving the cross-domain resource perception precision, enhancing the hierarchical decision collaborative efficiency and reducing the multi-manufacturer instruction conversion error rate.

Sidelink positioning of user equipments (UEs) is supported by exchanging sidelink positioning messages between the UEs, where the messages may include sidelink positioning capabilities, sidelink positioning resources, sidelink Positioning Reference Signal (PRS) configurations, sidelink measurements and / or location results for one or more of the UEs, and may be used for determining the location results. Location results may include ranges, directions, locations, velocities, relative locations and relative velocities. Groups of UEs may be formed for sidelink positioning based on group criteria parameters that are used for determining UE inclusion or exclusion in a group, in a centralized or distributed group management procedure. Group management may additionally remove and add UEs and transfer UEs between groups. Network supported sidelink positioning may transfer sidelink positioning messages between a UE and a location server where a sidelink positioning message may be embedded in an LPP and / or SUPL message.

The invention relates to a supplier behavior real-time sensing and monitoring method and device and electronic equipment. The method comprises the steps of collecting and preprocessing supplier multi-source heterogeneous data in real time, dynamically capturing a Binlog of a MySQL database through a Flink CDC framework, obtaining service behavior data in real time, collecting text log data through a Flume framework, and transmitting network behavior data in real time. Integrating the structured data, the unstructured data and the semi-structured data, and constructing a unified data transmission channel; constructing a multi-dimensional user portrait; comparing the semantic similarity between the bidding file and the bidding requirement, and triggering compliance early warning when the matching degree is lower than a threshold value; analyzing a supplier cooperation network, and marking a cluster group with abnormal transaction frequency and irrelevant business fields as a cross-bidding risk; and analyzing the access behavior sequence, and detecting a malicious access pattern to generate a malicious access alarm. According to the supplier behavior monitoring system and method, real-time performance, accuracy and multidimensional performance of supplier behavior monitoring are achieved through the architecture of multi-source heterogeneous data real-time integration, multi-dimensional portrait construction and intelligent risk identification.

A method for supporting virtual machine (VM) mobility between network devices connected to a network includes: selecting a first type of route for interconnecting VMs that are connected to the network devices; and adding a feature of a second type of route to the first type of route to enable the network devices to execute proxy address resolution protocol (ARP) for transmitting network traffic between the VMs without requiring each of the network devices to store a physical address of each of the VMs in respective ones of a network address table.

A mechanism is provided efficient packing of network flits in a data processing network. Transaction messages for transmission across a communication link of a data processing network are analyzed to determine a group of transaction messages to be passed to a packing logic block for increased packing efficiency. The transaction messages are packed into slots of one or more network flits and transmitted across a communication link. The mechanism reduces the number of unused slots in a transmitted network.

A device, method, apparatus, and medium for optical channel protection have been disclosed. A method for exemplary optical channel protection may comprise: in response to receiving fault information in an optical transmission network, performing alarm evaluation based on the fault information, wherein the fault information comprises first fault information associated with an electrical layer of the optical transmission network; and generating an action instruction for optical channel switching at least based on the evaluation result.

The invention provides a construction safety risk grading method and system combined with fuzzy clustering, and belongs to the technical field of building construction safety risk management.The method comprises the steps that firstly, a real-time risk feature set of a construction scene is obtained, and environmental influences, equipment operation and personnel operation features of a construction area are covered; secondly, fuzzy clustering preprocessing is conducted on the real-time risk feature set, fuzzy membership degree distribution and a feature correlation degree matrix of all risk features are obtained, a risk transmission network is constructed based on the result, nodes are risk features, edges are correlation degree parameters between the features, and risk diffusion coefficients of all the nodes are calculated through the risk transmission network; and generating a risk grade division result according to a preset grading rule, and finally outputting a construction safety grading instruction containing the risk area identifier and the corresponding management and control strategy, thereby dynamically and accurately evaluating the construction safety risk.

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 a network resource flexible scheduling method, system and device and a medium. The method is applied to a backbone transmission network and data network intelligent management and control system. The method comprises the following steps: disassembling network resources into a plurality of atomic power units in a virtualization layer, marking dynamic attribute tags for the atomic power units to obtain an atomic power library, and generating a trigger event when a real-time performance index exceeds a preset threshold value; according to the trigger event, the atomic power library and the alarm knowledge graph, carrying out combination optimization on the atomic power units to generate a resource combination scheme, and calling a three-dimensional topology model to carry out pre-verification on the resource combination scheme; and according to the execution scheme, carrying out capacity expansion and shrinkage operation on the atomic power unit through the virtualization layer, adjusting a load balancing weight based on real-time flow distribution, and generating a resource allocation result. According to the method, dynamic cooperative scheduling of network resources is realized, and the service quality and the operation efficiency of a backbone transmission network and a data network are 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.

A network entity may communicate at least one first transmission with a user equipment (UE) via a first transmission-reception point (TRP) and a second TRP in a multi-TRP (mTRP). The network entity may transmit an indication to switch to a single TRP (sTRP) mode to the UE, or a condition of the UE, such as a configured specification, may provide the indication to switch to the sTRP mode. The UE may obtain the indication to switch to the sTRP mode from the network entity or from the condition. The UE may switch to communicate at least one second transmission with the network node via one of the first TRP or the second TRP in the sTRP mode based on the indication to switch to the sTRP mode.

The invention is suitable for the technical field of electric power communication, and provides an electric power communication transmission network fault self-repairing processing method, which comprises the following steps: carrying out fault analysis based on an identified alarm type, starting a self-repairing processing flow based on a generated fault detection result, extracting attribute information of an affected service to distinguish service priorities, and carrying out self-repairing processing according to the service priorities. The N-1 redundancy capability of the service is verified; if a verification result needs to start a temporary channel, executing resource verification, and migrating service flow to a temporary circuit or triggering protection channel switching after verification is passed; after the fault of the original optical path is repaired, performance acquisition and service flow test are carried out on the repaired original optical path; if the test is passed, the service flow is migrated back to the original optical path in a double-channel parallel mode, and resources occupied by the temporary channel are released; after the temporary circuit is released, generating a fault repair file, and archiving the performance data to generate an optimization suggestion; and the fault processing efficiency of the transmission network, the reliability of the network and the self-healing level are improved.

A semiconductor structure with a power rail between at least two front side semiconductor devices and a connector via connecting the power rail to a backside metal layer of a backside power delivery network. The connector via resides within a shallow isolation trench. The connector via has a top surface that is below the top surface of the shallow isolation trench. The connector via provides a direct connection between the power rail connecting to at least one of the front side semiconductor devices and the backside power delivery network.

The present invention relates to industrial wireless network technology, specifically to a 5G network downlink high-reliability retransmission method for industrial URLLC. This method is applicable to a downlink transmission network composed of a single base station and multiple user devices. The present invention constructs a new frame structure for resource allocation, supports an on-demand retransmission strategy based on hybrid data coordinated scheduling and a dynamic switching strategy based on on-demand / cyclic retransmission reliability analysis; by jointly considering the data packets and retransmission packets in the downlink data queue, and allocating communication resources on demand for data that failed to be transmitted according to the data packet transmission results of each round and the available communication resources, the resource utilization rate is significantly improved, thereby improving the reliability of downlink data transmission; then, combined with the low communication overhead characteristics of the cyclic retransmission strategy, the most reliable retransmission strategy is selected online according to the data queue and the available communication resources, thereby further improving the reliability of downlink data transmission.

The invention belongs to the technical field of image acquisition, and discloses a field image acquisition method and system. The method comprises the following steps: acquiring real-time field images and videos by using an edge computing gateway, and extracting a plurality of real-time key frame images; image segmentation is carried out, and the real-time attention of the real-time image area is obtained; lossless compression and dynamic encryption are carried out; collecting real-time network quality data of the transmission network, and generating a real-time data transmission strategy; uploading the plurality of encrypted real-time image compression packets to a cloud data center according to a real-time data transmission strategy; and restoring the plurality of encrypted real-time image compression packets of each real-time foreground image by using the cloud data center to obtain a restored real-time field image video. According to the invention, the problems of low data transmission efficiency, insufficient security, centralized processing bottleneck, high energy consumption and poor transmission reliability in the prior art are solved.

The invention relates to the technical field of digital information transmission, in particular to an intelligent force transducer data remote transmission method and system based on the Internet of Things, and the method comprises the steps: obtaining the measurement data of a plurality of force transducers, calculating a multi-dimensional rate vector, and obtaining a multi-dimensional rate vector based on the multi-dimensional rate vector in a historical time window; calculating a differential entropy to determine an instantaneous fluctuation index, determining a predictive risk gradient in combination with the historical trend of the instantaneous fluctuation index, evaluating the effective throughput of the data transmission network online, and coupling the predictive risk gradient to determine a risk-aware transmission cost factor, fusing the predictive risk gradient with the transmission cost factor, and determining the risk-aware transmission cost factor. And jointly determining a dynamic transmission strategy level, and executing hierarchical adaptive data transmission operation according to the dynamic transmission strategy level. According to the method, intelligent balance of transmission efficiency and data reliability is realized.

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 patient transfer intelligent monitoring platform based on the Internet of Things and the intelligent wearing technology, and relates to the technical field of transfer intelligent monitoring, and the platform comprises an intelligent wearing equipment module which is used for carrying out the time sequence collection of physical sign data in a transfer process, and obtaining a physical sign monitoring data sequence; the medical equipment interconnection module is used for carrying out simultaneous multi-terminal data acquisition; the data transmission network module is used for determining an infusion pump infusion speed analysis result, a physical sign abnormal mode analysis result, a monitoring terminal abnormal mode analysis result and an oxygen consumption reserve analysis result; and the alarm and display module is used for graded alarm and shared display of the electronic handover bill. The technical problems that in the prior art, continuous dynamic monitoring cannot be achieved in the transferring process of the invasive mechanical ventilation patient, the early warning capability is lacked, and handover communication is not smooth are solved, and the technical effects that physical sign data and medical equipment parameters in the transferring process of the patient are collected in real time, and transferring monitoring continuity and handover efficiency are improved are achieved.

A semiconductor structure is presented including a bottom field effect transistor (FET) including a plurality of bottom source / drain (S / D) epi regions, a top FET including a plurality of top S / D epi regions, a bonding dielectric layer disposed directly between the bottom FET and the top FET, and a node contact advantageously extending from a bottom S / D epi region of the plurality of bottom S / D epi regions of the bottom FET through the bonding dielectric layer and into the top FET. The bottom FET includes an inverter gate. The top FET electrically connects to back-end-of-line (BEOL) components and the bottom FET electrically connects to a backside power delivery network (BSPDN).