4021 results about "Station" patented technology

This disclosure provides methods, components, devices and systems for coordinated time division multiple access (C-TDMA) in Wi-Fi networks for partial bandwidth transmission opportunity (TXOP) sharing. Some aspects more specifically relate to coordinating TXOP sharing in time and frequency. In some examples, a first access point (AP) obtains a TXOP associated with a bandwidth, allocates a duration of the TXOP to a second AP, and selectively communicates with one or more stations (STAs) associated with the first AP via a first portion of the bandwidth within the duration of the TXOP. In other words, the first AP may selectively communicate with one or more STAs associated with the first AP within the duration of the TXOP that the first AP shared with the second AP. Various disclosed protocols and mechanisms further relate to using resources that would otherwise be unutilized within a framework of coordinated medium access.

The invention provides an LSTM (Long Short Term Memory)-based intelligent fusion terminal station transformer data working condition dividing filling method. The method comprises the steps of data acquisition and working condition division: carrying out working condition refining and pile dividing on station area data uploaded by an intelligent fusion terminal according to a photovoltaic equipment operation state OpSt; data preprocessing: carrying out abnormal value detection, missing value preliminary filling, filtering denoising and normalization processing on the data after working condition division; sub-working-condition model training: aiming at each type of working conditions, respectively constructing and adopting the preprocessed data to train a corresponding LSTM data filling model; and missing value classification and filling: calculating the working condition category of to-be-filled data according to the similarity, calling the trained LSTM data filling model under the corresponding working condition, and performing prediction filling on the missing value. The method can solve the problems of high dimension, non-stationarity and complex missing modes in the monitoring data of the photovoltaic transformer area.

A communication method is performed by a non-Access Point Station Multi-Link Device (non-AP STA MLD). The method includes: determining a first message frame, wherein the first message frame includes identification information for indicating an operation mode to be maintained, and the identification information corresponds to link information for identifying a link to which the operation mode is applicable; and sending the first message frame.

The invention discloses a reliable data transmission method for a narrowband satellite internet of things. The method comprises the following steps: defining a reverse data frame format; link state monitoring and quantification: continuously or periodically monitoring a quality index representing a link of the satellite Internet of Things terminal; continuously or periodically monitoring the uplink state of the satellite Internet of Things terminal by using a terminal link state evaluation module of the satellite master station baseband system; link state grading: dividing the current link state into a plurality of predefined state grades; identifying the transmission rate of the satellite Internet of Things terminal; constructing a self-adaptive confirmation window strategy: a sending end of the satellite Internet of Things terminal uses a confirmation window with a dynamic window size; the number of data packets confirmed by the transmitted ACK / NACK message, namely the window size, is dynamically adjusted according to the currently sensed link state and the identified terminal transmission rate; the performance of the whole system is improved.

A control unit (130) of a control apparatus (10) acquires a position of a first communication device (40A) and first quality information about a plurality of links. The first communication device (40A) is positioned in a first site in which a first base station (20A1) for a first private network is arranged, and is connectable to the plurality of links including the first private network. The control unit (130) acquires a position of a second communication device (40B) and second quality information about the plurality of links. The second communication device (40B) is positioned in a second site in which a second base station (20B1) for a second private network is arranged, and is connectable to the plurality of links including the second private network. The control unit (130) acquires first and second communication information about the first and second communication devices (40A and 40B). The control unit (130) uses the first and second communication information and first and second quality information to determine a communication route satisfying a desired quality between the first and second communication devices (40A and 40B), and gives notice of route information.

A non-AP MLD operates in an EML mode that applies in a set of EML links. The non-AP MLD receives, by a first affiliated station, a first beacon frame over a first link of the EML links, the first beacon frame including a TBTT related to a second beacon frame. Moreover, the non-AP MLD configures the first affiliated station to be in a receiving state at the TBTT to receive the second beacon frame.

The invention discloses a new energy broadband test analysis management and control method and system, and relates to the technical field of new energy detection and intelligent management and control, and the method comprises the following steps: obtaining a multi-window splicing frequency spectrum of a load switching edge, superposing phase lock consistency verification in a splicing frequency spectrum result, generating a frequency spectrum leakage suspicion chart, and carrying out the boundary constraint for energy track extraction; under the constraint of a spectrum leakage suspicion chart, an energy center track, a group delay curve and a phase derivative sequence are extracted, and a cross-frequency migration fingerprint is constructed and is used as a basic evidence for misjudgment traceability. By means of spectrum suspicion identification, feature fusion modeling, misjudgment traceability, label correction, energy reverse intervention and the like, accurate identification and closed-loop regulation and control of false operation caused by spectrum leakage are achieved, high identification accuracy, low misjudgment rate, high anti-interference performance and quick response capacity are achieved, and the operation stability and safety of a new energy field station are remarkably improved.

The invention discloses a broadband oscillation risk prediction method and system based on wide-area broadband measurement, and relates to the technical field of wide-area broadband measurement. The method comprises the following steps: firstly, collecting grid-connected point high-frequency synchronous phasor data by using a PMU device at a photovoltaic field station side, and performing filtering and time mark calibration processing to eliminate noise and ensure time consistency; performing spectrum correlation analysis on wide-area multi-station PMU data based on time mark synchronization, screening broadband oscillation candidate features, and transmitting the broadband oscillation candidate features to a scheduling master station prediction network; and finally, inputting the real-time operation parameters of the power grid and historical oscillation sample data into the network, carrying out risk assessment and trend prediction, and assisting broadband oscillation early warning and prevention and control decision. According to the method, efficient fusion of multi-area equipment data is realized, a full-system broadband dynamic monitoring view angle is formed, the oscillation dynamic state is captured in real time, the risk is pre-judged, the broadband oscillation risk caused by new energy power fluctuation and power electronic equipment transient response can be dealt with, and the dynamic monitoring requirement of a novel power system is met.

The invention discloses a power distribution network switching station on-line comprehensive monitoring method based on the Internet of Things, and aims to solve the problems that a traditional switching station is poor in monitoring real-time performance, insufficient in fault early warning capability and the like. The method is realized based on an intelligent monitoring and coping system of an Internet of Things architecture, and through cooperation of multiple modules of equipment operation state monitoring, environment monitoring, security monitoring, intelligent linkage control, alarm management, historical data analysis and the like, an alarm linkage intelligent control closed-loop cooperation algorithm and a time sequence analysis algorithm are combined. And comprehensive perception and intelligent analysis of the operation state, environmental parameters and the like of the switching station equipment are realized. The system can monitor key parameters such as cable head temperature and partial discharge in real time, supports intelligent linkage processing of abnormal scenes such as harmful gas exceeding and water immersion, and predicts the equipment trend through historical data mining. The technology improves the equipment operation safety and operation and maintenance efficiency, reduces the line loss, enhances the power supply reliability, lays a foundation for constructing a novel power system, and promotes the digital transformation of a power distribution network.

The invention discloses an area terminal adaptive communication method and system based on link quality perception, and relates to the technical field of power area terminal communication by predicting link quality, comprising the following steps: predicting link quality according to multi-dimensional perception data to obtain link quality prediction data; determining a candidate link based on the service-link adaptation rule base, determining a target link according to the link quality prediction data of the candidate link, and performing data transmission through the target link; according to the real-time link quality data of the target link, whether switching is needed or not is judged in combination with the power grid operation state, and if switching is needed, the link priority is calculated to obtain an optimal link, and link switching is carried out; the method can adapt to a complex operation scene of a power grid, improves the link switching efficiency, improves the communication efficiency and communication reliability between the station area terminals, and solves the problem of low communication efficiency caused by poor environmental adaptability and relatively high switching time delay between a communication protocol and a module in an existing station area terminal communication technology.

The invention discloses a multi-source fusion positioning method, positioning system and equipment for resisting non-line-of-sight interference. The method comprises the following steps: S1, acquiring RSS (Received Signal Strength), TDOA (Time Difference Of Arrival) and AOA (Attention Of Arrival) of N base stations; s2, selecting a base station with the strongest signal as an initial reference station according to the RSS mean value, and generating all base station combinations containing the reference station; s3, constructing a joint positioning equation for each base station combination, and carrying out initial position calculation on each combination by adopting a weighted least square method to obtain an intermediate position estimated value and a corresponding residual error; s4, identifying the NLOS base station by using sliding window-based multi-feature residual dynamic threshold judgment and effective combination-based NLOS weight penalty verification respectively; and S5, calculating the base station combination according to the residual error and the geometric precision factor to obtain high-precision position estimation. According to the method, unreliable NLOS base station signals can be intelligently identified in a complex electromagnetic environment, the weights of the unreliable NLOS base station signals are reduced, and finally more accurate target position estimation is fused.

The invention discloses a multi-terminal collaborative modular power operation and maintenance method and system based on digital twinning, and the method comprises the following steps: constructing a global power topological graph of a power energy site, mapping power equipment, sensors and connecting lines into graph nodes and graph edges, and binding the static attributes of the equipment with the topological structure; and acquiring real-time operation data of the power equipment, and distributing a unified time label for the multi-source heterogeneous data. According to the method, a unified twinborn model of cross-voltage class, cross-region and cross-equipment type is established in a digital twinborn platform, and operation data of different equipment such as photovoltaic equipment, battery energy storage equipment, an inverter, a protection device, an electric energy meter and temperature control equipment are expressed in a unified data semantic mode; according to the invention, the system can still automatically establish a consistent device portrait under the conditions of a large number of multi-terminal devices and diversified communication protocols, and the multi-terminal cooperative computing capability is significantly improved.

The invention relates to a method for constructing and visualizing a knowledge graph of a secondary virtual loop of an intelligent substation, which solves the problems of incomplete visualization, incomplete relevance, poor readability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: acquiring an SCD configuration file and an optical fiber link table of the intelligent substation; reading and analyzing the SCD configuration file, and obtaining virtual loop configuration information of the whole station; matching the virtual loop with the soft pressing plate based on the configuration information of the virtual loop of the whole station; matching the physical loop with the virtual loop based on the total station virtual loop configuration information and the optical fiber link table; constructing a knowledge graph based on the total station virtual loop configuration information; and constructing a total station secondary equipment virtual loop configuration database based on the knowledge graph. The method has the advantages that the configuration information of the virtual loop of the whole station can be completely presented in a graphic form, the visualization degree of the secondary virtual loop of the intelligent station is effectively improved, and the working efficiency of on-site technical improvement, defect elimination, verification and the like is improved.

The invention relates to the technical field of power system monitoring, and particularly discloses a cable current-carrying capacity dynamic evaluation and early warning system based on distributed sensing. The system comprises a distributed sensor network, edge computing nodes, a block chain privacy computing platform and a dynamic evaluation and early warning center. The sensing network collects multi-source physical parameters of the cable in real time; carrying out local preprocessing and feature extraction on the edge nodes; the privacy computing middle station cooperatively constructs and solves an electricity-heat-aging joint model and outputs a cable thermal state and an aging coefficient on the premise of not leaking special models and data of all parties through federated learning and a safe multi-party computing technology; and the early warning center calculates the dynamic current-carrying capacity, evaluates the health state and implements graded early warning. According to the invention, accurate and safe dynamic evaluation and intelligent early warning of the current-carrying capacity of the cable are realized.

The invention provides a frequency hopping communication method based on LoRa and a related device, applied to a base station, the method comprises the following steps: configuring to work on m independent channels of a target frequency band, the residence time of each channel being a duration T, m being an integer greater than 1; generating a random frequency hopping sequence according to the pairing code shared with the moving station; hopping to a target channel according to the frequency hopping sequence, and sending a data packet containing a network identifier within the residence time, the network identifier being associated with the pairing code; receiving a frequency matching acknowledgement message fed back by the moving station, wherein the frequency matching acknowledgement message is sent after the moving station monitors the data packet and verifies that the network identifier is matched; in response to the frequency matching confirmation message, issuing a synchronization instruction containing a frequency hopping sequence to the moving station; and performing data frequency hopping transmission with the moving station on m independent channels based on the synchronization instruction. Through dynamic random frequency hopping and time synchronization, efficient and reliable frequency hopping communication between a base station and a moving station is realized.

The invention relates to the technical field of automatic operation and maintenance of a power system, in particular to an automatic operation and maintenance method and system for plant-station equipment based on a knowledge graph, and the method comprises the steps: collecting static ledger data, real-time operation data and historical operation and maintenance data of the plant-station equipment, constructing a multi-dimensional association knowledge graph, creating a digital twinborn body for target equipment in a plant station, and carrying out the operation and maintenance of the plant-station equipment. Establishing a bidirectional data channel between the digital twin and a corresponding equipment entity node in the knowledge graph; and based on a state evaluation rule and a fault propagation path model preset in the knowledge graph, performing real-time health state evaluation on the target equipment by using the state evaluation rule and the fault propagation path model to generate a health index, and when an abnormality is monitored, tracing along the topological relation between the electrical connection and the equipment in the knowledge graph, the fault source is positioned, the confidence probability is calculated, risk level evaluation and processing priority ranking are carried out according to the confidence probability, an operation and maintenance diagnosis work order containing an execution time sequence is obtained, and the fault reason can be quickly traced and positioned.

The invention relates to the technical field of new energy power system operation control, and discloses a new energy station coordination control optimization method, system, equipment and medium based on data real-time transmission and synchronization, and the method comprises the steps: deploying a data collection module at each power generation unit side of a new energy station, and collecting multi-dimensional operation data in real time, converting into a uniform format; constructing a hybrid communication network architecture, monitoring a link state in real time, and triggering redundant path switching; establishing a global unified clock reference, carrying out time synchronization, and adding a timestamp to transmission data; performing preprocessing, anomaly detection and state estimation on the data with the timestamps; based on the preprocessed whole-field synchronous data, constructing an optimal control model, and solving an output distribution instruction of each power generation unit in a preset period; and the optimization instruction is issued to the power generation unit in a closed-loop manner through the low-delay communication network for execution. The method can effectively improve the overall operation efficiency, scheduling compliance and system stability of the new energy station, and has good engineering popularization and application prospects.

In a wireless local area network (WLAN) system, a transmission STA can transmit a PPDU via a 320 MHz channel, and a Medium Access Control (MAC) signal may be generated for the PPDU. The MAC signal may include puncturing pattern information and channel center frequency segment (CCFS) information for a 320 MHz band. The CCFS information may include a first CCFS field related to channel center frequency (CCF) information of a primary 160 MHz channel, and a second CCFS field related to CCF information of a 320 MHz channel.

Systems and automated processes are described to provide collection of wireless network status data, such as a 5G network, and to automatically respond to queries regarding the performance of the network. Systems and automated processes may, in response to a request for network performance information, obtain performance and static data from network data sources, analyze the static data to generate validated site data, apply a KPI formula to the performance data to generate KPI data, and generate a network performance report based on the validated site data and KPI data. In addition, the systems and automated processes may use an appropriate machine learning model from a library of models to determine recommended actions to increase network performance and may automatically implement such actions. A top offender system may be implemented to analyze the status data to determine the network elements having the largest negative impact on network performance.

The invention relates to the technical field of encryption communication, in particular to an encryption method and system for an intelligent digital encryption radio station, and the method comprises the following steps: storing communication node information to an encryption database based on maritime communication environment signal characteristic parameters, extracting communication link quality indexes, recording multi-path interference, and screening a high-frequency band; and detecting the identity and authority change of a communication operator, and analyzing the communication use trend and frequency change to obtain a communication use trend analysis conclusion. Through dynamic monitoring of signal characteristics and self-adaptive optimization of a network structure, real-time reconstruction of a communication path and interference area avoidance are realized, stable transmission in a marine environment is guaranteed, frequency and power are dynamically adjusted in combination with link quality and interference analysis, the coverage rate and reliability are improved, and the method is suitable for large-scale popularization and application. Abnormal identification and risk early warning are realized through comprehensive judgment of communication behaviors and authority changes, the adaptability and protection capability of the system are enhanced, and the stability, security and resource utilization efficiency of a communication network are improved.

The invention discloses a safety control method and system for an emerging control main body, and belongs to the technical field of power system active control, and the method comprises the steps: carrying out the bidirectional data interaction through a master station AGC and a field station AGC, and carrying out the bidirectional data interaction based on a bidirectional data interaction result and a cooperative anti-error parameter; whether the emerging control main body is in a controllable state or not is judged in real time through collaborative security locking logic; if the control main body is in the controllable state, active measurement data of the emerging control main body are obtained, and jump detection and multi-source checking are carried out on the active measurement data; after verification is passed, a pre-control instruction is generated based on the control strategy, and reasonability verification and control effect simulation verification are carried out; and after the control effect simulation verification is passed, the pre-control instruction is taken as a final control instruction to be issued to the emerging control main body for execution. The method can greatly improve the safety control capability of AGC on an emerging control main body, guarantees the frequency operation safety of a power grid, and improves the safe and reliable power supply capability of the power grid.

A wireless station (STA) operating as a non-simultaneous transmit-receive (NSTR) soft access point (AP) multi-link device (MLD) is associated with a primary link and a non-primary link. The NSTR softAP MLD transmits, on only the primary link, a frame including a complete profile of the primary link and indicating a complete profile of the non-primary link. The respective complete profiles of the primary link and the non-primary link each include capabilities, operation parameters, and other discovery information. The frame can include fields and elements that carry the complete profile of the primary link, and can include a multi-link (ML) element that indicates the complete profile of the non-primary link. The NSTR softAP MLD can receive or determine an update to the operation parameters of the non-primary link, and can transmit, on the primary link, an indication of the update to the operation parameters of the non-primary link.

The present disclosure is related to Intelligent Transport Systems (ITS), and in particular, to service dissemination basic services (SDBS) and / or collective perception service (CPS) of an ITS Station (ITS-S). Implementations of how the SDBS and / or CPS is arranged within the facilities layer of an ITS-S, different conditions for service dissemination messages (SDMs) and / or collective perception message (CPM) dissemination, and format and coding rules of the SDM / CPS generation are provided.

The invention discloses a hydropower station data operation and maintenance method, which comprises the following steps of: arranging a sensor network on hydraulic facilities and electromechanical gold junction equipment, acquiring data, preprocessing the data, registering in space and time scales, converting data signals into acoustic, optical and electric signals, and transmitting the acoustic, optical and electric signals to a server; the method comprises the following steps: performing signal fusion of a three-dimensional sonar signal and an RGB image based on an attention concentration mechanism, performing deep analysis on data, extracting a sensor data mode of hydraulic facilities and electromechanical junction equipment under normal working condition operation, establishing a fault diagnosis model, performing real-time diagnosis on the hydraulic facilities and the electromechanical junction equipment, and constructing a response decision knowledge base. Establishing a hydropower optimization scheduling model, and displaying the information of the hydropower station; the system integrates the Internet of Things, big data, artificial intelligence, cloud computing, BIM three-dimensional modeling and digital twinning technologies, realizes real-time monitoring, intelligent diagnosis and optimal scheduling of equipment and facilities of the hydropower station, and improves the overall digital intelligent operation management level of the hydropower station.

The invention relates to the technical field of data communication, and discloses an intelligent agent high-speed bus implementation method and system based on an FPGA and a dynamic smoothing technology. The method comprises the following steps: constructing a single handshake message through a lightweight protocol, adjusting network indexes by adopting an exponential smoothing method, constructing a pipeline processing unit in an FPGA card by utilizing a VHDL, realizing key updating and encryption processing, constructing a three-layer adaptive structure connection subsystem, and optimizing algorithm parameters and resource allocation according to a running state. And a high-performance bus communication system is formed. On the premise of ensuring the communication security and reliability, the network transmission delay is remarkably reduced, and the data throughput is improved, so that the communication system can meet the requirements of emergency linkage and large data volume transmission in a scene (such as a rail transit station-level system) with a high real-time requirement.

Systems and automated processes are described to provide collection of wireless network status data, such as a 5G network, and to automatically respond to queries regarding the performance of the network. Systems and automated processes may, in response to a request for network performance information, obtain performance and static data from network data sources, analyze the static data to generate validated site data, apply a KPI formula to the performance data to generate KPI data, and generate a network performance report based on the validated site data and KPI data. In addition, the systems and automated processes may use an appropriate machine learning model from a library of models to determine recommended actions to increase network performance and may automatically implement such actions. A top offender system may be implemented to analyze the status data to determine the network elements having the largest negative impact on network performance.

The invention discloses a whole network reference unified Beidou B2b constant deviation estimation method, which comprises the following steps of: firstly, performing Beidou B2b clock error reference transformation by applying Beidou B2b service DCB information to realize constant deviation parameterization separation; secondly, adding a single-station virtual reference, and constructing a constant deviation full-rank estimation model based on a single station; then, the constant deviation information of the whole network is integrated, the reference difference of a plurality of single station solutions is eliminated, and B2b constant deviation estimation with the unified reference of the whole network is achieved; and finally, under the constant deviation constraint of the unified reference, the performance of terminal positioning convergence speed, precision and the like is improved. According to the method, constant deviation estimation based on the whole network is realized, the stability and availability of Beidou B2b constant deviation estimation are improved, the problems of to-be-estimated parameter hopping and even filtering divergence possibly caused when a user side adopts constant deviations of different references are avoided, and then rapid convergence and instantaneous horizontal decimeter-level positioning of a terminal user are guaranteed.