528 results about "Supply network" patented technology

The invention relates to the technical field of electric power system intelligent monitoring, and discloses an intelligent power supply system state monitoring and fault early warning method and system. According to the system, power grid operation parameters are collected in real time through a heterogeneous sensor array, multi-dimensional features are extracted through wavelet transform, a fault diagnosis model is constructed based on deep learning, precise early warning is achieved in combination with a dynamic threshold optimization algorithm, an optimal disposal scheme is generated based on an expert knowledge base, and remote data transmission is achieved through dual-channel communication. Real-time monitoring, fault early warning and intelligent decision support of the state of the power supply network are realized, and the operation reliability and the operation and maintenance efficiency of the power grid are remarkably improved.

The invention belongs to the technical field of power systems, and particularly relates to an audit data early warning method and system, and the method comprises the steps: collecting the node voltage and current of a power supply network and the charging and discharging efficiency data of an energy storage system in real time through a distributed sensor network, and generating an original data flow; carrying out localized cleaning and standardized format conversion through an edge computing node; generating a dynamic risk assessment result and a scheduling scheme based on fuzzy logic reasoning and digital twinborn simulation; and analyzing and predicting deviation through meta-learning, and realizing closed-loop optimization by adopting a model distillation technology. The system comprises a distributed sensor network, an edge computing node, a multi-source data fusion module and the like. According to the method, the anomaly detection real-time performance, the risk assessment accuracy and the energy storage scheduling economy of the power system are improved.

The invention relates to the technical field of logistics supply, and discloses a multi-source data fusion-based e-commerce supply chain anti-break decision-making system, which comprises a heterogeneous graph network construction and risk prediction module, a multi-source data fusion-based e-commerce supply chain anti-break decision-making module, a multi-source data fusion-based e-commerce supply chain anti-break decision-making module and a multi-source data fusion-based e-commerce supply chain anti-break decision-making module, a time sequence sensitive graph attention network is used to predict a goods shortage risk propagation path; the elastic recovery path generation module is used for modeling supply chain recovery into a sequence decision problem on a graph based on the constructed heterogeneous graph network, and generating a plurality of elastic recovery paths through a variational inference method; according to the method, the heterogeneous graph network is constructed and the time-sequence-sensitive graph attention network is realized, so that the system can accurately capture the cascade effect and the risk propagation path in the complex supply network, the prediction accuracy of the cargo shortage risk propagation path is improved, and false report and missing report are greatly reduced.

The invention relates to the field of power systems, in particular to a multi-energy complementary power supply network cooperative control method and system. The method comprises the following steps: collecting dynamic characteristic data of wind power, photovoltaic power, energy storage and load through a sensor group, and generating a multi-energy state characteristic matrix with a timestamp; and matching the feature matrix with a dynamic response feature library, and outputting a dynamic feature parameter set. Based on the set, a multi-objective optimization model is constructed, second-level frequency deviation suppression, minute-level tie line power stabilization and hour-level economic dispatching are covered, and a cooperative control parameter set is generated. And generating a thermal power generating unit compensation amount, an energy storage charging and discharging sequence and an interruptible load priority list. After execution, power grid deviation data are collected, a dynamic deviation value is calculated, and when a threshold value is exceeded, feature library parameters are corrected and loop optimization is carried out. According to the invention, the problem of insufficient cooperative control of the multi-energy system in the prior art is solved, and the stability and economy of the power grid are improved.

The invention relates to the technical field of power supply system management, and discloses a centralized management method and management system for a power supply system. The method comprises the following steps: monitoring a current fluctuation sequence and voltage offset data of each node of a power supply network in a continuous operation period, and collecting an equipment state log text and load change time sequence information; identifying a time point of abnormal sudden change of current fluctuation, and extracting a characteristic parameter set of a power supply quality reduction event in combination with a voltage offset data change amplitude; matching a historical abnormal event library, positioning key operation record fragments strongly related to load change in the log, and generating a mapping relation table of equipment operation behaviors and power supply quality fluctuation through semantic analysis and time sequence alignment; and correcting the parameters of the load prediction model, outputting and executing a power supply priority dynamic adjustment strategy, and triggering automatic calibration of equipment operation parameters. According to the method, comprehensive control of the power supply system is realized, abnormity can be identified and processed in time, association between operation and quality is clear, and stability and flexibility of operation of the power supply system are improved.

The present invention relates to the technical field of cross-border e-commerce supply chain, and discloses a cross-border e-commerce supply chain data analysis method and system based on artificial intelligence. The method has the following effects: The embodiment of the present invention provides a cross-border e-commerce supply chain data analysis method and system based on artificial intelligence. The method is executed by a processor and includes obtaining cross-border e-commerce supply chain data; analyzing through artificial intelligence algorithms to obtain supply chain analysis results for each type of product; obtaining a product number set, matching the product number set with the supply chain analysis results to obtain product number supply chain analysis results; establishing a product supply visualization network model; determining main product nodes in the product supply network model according to the product supply visualization network model; and determining the product supply route between the target product node and the main product node. This method provides an effective high-efficiency transportation method for cross-border e-commerce supply chain through artificial intelligence analysis methods.

The embodiment of the invention provides a distributed medical equipment management platform and method based on a zero-trust network. In the distributed medical equipment management platform based on the zero-trust network, an edge trusted access module adopts a hardware root of trust mechanism, so that equipment accessed for the first time is connected to a temporary supply network isolated from a medical core network, and a zero-trust security normal form is followed; the distributed trust anchor point cluster constructs a distributed identity verification network based on federated learning, and the access pre-authorization authority is verified through a device distributed identity identification (DID); the dynamic permission arrangement engine injects an attribute-based access control strategy, generates a permission token in combination with network micro-segmentation, and realizes two-way encryption communication between the equipment and a target service; the intelligent isolation gateway cuts off temporary connection through a software defined network technology and sends a network access state proof through a block chain mechanism, and edge module initialization is executed by a trusted node outside the medical cloud.

A converter (2) supplies a load (3) with electrical energy from a supply network (4). Using a desired power (P1*) of the load (3) and a state (Z) of the supply network (4), a control device (9) of the converter (2) determines a power (P2*) to be output by the converter (2) to the load (3). The control device (9) determines, using the power (P2*) to be output, control signals (C, C1, C2) for the converter (2) and controls the converter (2) by means of the control signals (C, C1, C2) such that the converter (2) outputs the power (P2*) to be output to the load (3). The control device (9) determines the state (Z) of the supply network (4) using variables (UZK, a, f) on which the determination of the control signals (C, C1, C2) is based.

The invention discloses a remote power supply operation and maintenance virtual conference cooperation method and system and electronic equipment, and particularly relates to the field of power operation and maintenance scheduling, and the method comprises the following steps: I, accessing various data of a power supply network, constructing a three-dimensional topology energy flow diagram in real time, and dynamically generating a security level matrix in combination with real-time equipment working conditions; iI, establishing a temporary operation authority tunnel, starting a virtual conference space, and automatically matching a most suitable interaction mode according to behaviors and intentions of participants; according to the method, the operation compliance and safety can be improved, key leakage and instruction tampering are effectively prevented, the encryption strength of remote operation is enhanced, permission abuse is prevented, the system toughness is improved, and safe closed-loop management from access to execution is realized; the comprehensiveness and timeliness of state monitoring of the power supply network are effectively improved, more accurate abnormal event identification can be realized, the problem positioning efficiency is improved, and a user is ensured to preferentially acquire the most reliable and most representative abnormal propagation chain.

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 an intelligent rapid emergency power supply system for monitoring high-voltage short-circuit characteristic information through a group method, and relates to the field of power electronic technologies and uninterruptible power supplies, intelligent identification module groups X1-X27 used for monitoring short-circuit fault characteristic information of a high-voltage power supply network are additionally arranged in a standard ISPS, and the intelligent identification module groups X1-X27 are grouped according to attributes of the characteristic information; the characteristic information from each intelligent identification module is used for controlling the rapid conversion of the standard ISPS output end, so that the output end conversion index under the high-voltage short-circuit working condition can also meet Tlt; the time is 0.01 ms; the system comprises the intelligent identification module group, and an intelligent controller IPo, a composite rapid circuit changer Cf and an abnormal emergency branch Ae which are related to the intelligent identification module group, and also comprises a commercial power direct transmission branch Dt, monitoring instruments IA, IA1-IA3, an intelligent storage battery unit IIU and other matched components or units which are necessary for a standard ISPS.

The invention provides a multi-level PDN modeling optimization method and system based on advanced packaging, and belongs to the technical field of electrical packaging design, and the method comprises the steps: in multi-level packaging including a chip level, a packaging substrate level and a PCB level, under the condition that actual electromagnetic parameters, power supply layout, wiring topology and the actual length of a power supply loop of materials are considered, the actual length of the power supply loop is calculated; obtaining a PDN model for completing voltage stability and power supply capability under each level; through a three-dimensional loop path mapping algorithm and a target impedance rule, obtaining a PDN model of stable power supply of a power supply network in a full frequency band under different levels; obtaining a plurality of PDN optimization models under each level; and inputting one model under each level into the simulation tool at the same time to obtain an optimal PDN model under each level. The invention aims to solve the problem that only the mutual influence between electronic devices in the PDN model of each layer is considered when the PDN model is carried out on a PCB (Printed Circuit Board), a semiconductor and a chip.

The invention discloses an intelligent fire prevention and control and operation and maintenance optimization method and system for an electric power supply network, and the method comprises the steps: collecting temperature, humidity and smoke concentration data in real time through a sensor network, generating a comprehensive environment index data flow, and obtaining a fire initial signal through abnormality judgment; calling a medium selection model, and outputting an optimal environment-friendly insulating medium and release parameters thereof by querying an environment-friendly medium and insulating characteristic parameter library and performing matching calculation based on the equipment type; utilizing a response speed optimization algorithm to generate an accurate release instruction sequence containing a release path, a dose and a time sequence; controlling the medium atomization device to synchronously release the medium according to the instruction; and collecting equipment protection and power supply continuity data, performing risk assessment to generate an efficiency index, and updating the prevention and control strategy library to optimize a subsequent decision. Through intelligent decision making and closed-loop optimization, power supply continuity and equipment safety are guaranteed to the maximum extent while rapid and accurate fire extinguishing is achieved, and transformation from post-disaster disposal to operation and maintenance level prevention and control is completed.

The invention relates to a computer-implemented method for operating a device battery (41) of a technical device (4), in particular at a charging station (3) with an electrical energy supply network (2) with varying energy availabilities, comprising the following steps: - determining (S4) a predicted temporal course of energy availability in the energy supply network (2) using an energy prediction model; - providing (S6) charging and discharging profiles for the device battery (41); - Providing an aging state model which is designed to determine an aging state change based on temporal profiles of operating variables of the device battery (41); - Providing an indication of a target state of charge and an optimization period after which the target state of charge is to be reached; - performing an optimization method based on a cost function that depends on the predicted energy availability in the energy supply network during the optimization period, the energy consumption and energy output of the device battery (41) during the optimization period and a change in the ageing state at the end of the optimization period, and the indication of the target state of charge in order to obtain a usage profile that indicates a temporal sequence of time periods of the use of charging profiles and / or discharging profiles; - Providing (S7) the usage profile for operating the device battery (41) as a buffer storage in order to provide no transmission of electrical energy, charging according to the respective charging profile or discharging according to the respective discharging profile in each time period according to the usage profile.

The invention discloses a power supply tree block diagram generation method and device, and the method comprises the steps: determining a power supply grade and a power supply serial number based on the parameter information of a plurality of power supplies; sequentially traversing all subordinate power supplies of the external power supply from the external power supply, and drawing a corresponding conversion representation frame and a power supply connection endpoint based on the traversed parameter information of each power supply until all subordinate power supplies are traversed; based on the power utilization equipment information, sequentially drawing power utilization representation frames of the plurality of power utilization equipment; the power consumption indication frame comprises at least one power consumption pin; based on the power supply network information, determining a power utilization pin corresponding to each power supply connection endpoint and a power-on sequence of each power utilization pin; drawing a connecting line of the power supply network between each power supply connecting endpoint and the corresponding power utilization pin; the bending positions of the connecting lines are used for representing the power-on sequence of the power utilization pins; and generating a power tree block diagram containing the power connection endpoints and the power consumption representation box. According to the invention, the power tree diagram can be quickly and accurately generated.

The invention discloses an inverter power supply network construction type control method based on an artificial neural network, and relates to the technical field of inverter power supply network construction type control. Collecting an electrical parameter sequence set of an inverter power supply grid-connected point; constructing a power supply network construction control analyzer based on the deep feedforward neural network, and outputting a first network construction control parameter; building a power distribution network simulation topology model based on PSCAD to perform parameter optimization, and generating a second network construction control parameter; and analyzing and determining the fluctuation degree of the operation state, carrying out weighted fusion on the two types of control parameters according to a set dynamic fitting strategy, obtaining an adaptive networking control strategy, and implementing regulation and control. According to the invention, on-line intelligent optimization of control parameters is realized through a two-way parallel mechanism of quick response of the neural network and accurate verification of the simulation model in combination with a self-adaptive fitting strategy of operation state perception, and the stability, adaptability and control precision of the inverter power supply under complex working conditions are effectively improved.

The invention provides a digital twin enabling air-ground integrated dual power supply network supply-demand game method and system, and belongs to the technical field of intelligent management and control of energy and communication convergence networks. Comprising the following steps: constructing a digital twin system of an energy-communication fusion network, and accessing and mapping dynamic data from an energy network and a communication network in real time; based on the dynamic data, an energy side observation space and a communication side observation space are defined in the digital twin system, and the comprehensive supply and demand imbalance degree of the system is calculated; the energy side intelligent agent and the communication side intelligent agent output control instructions in a continuous action space according to respective observation spaces, and respectively aim at maximizing own long-term accumulated benefits; a final solution of the coordinated game framework is an optimal strategy combination meeting a Nash equilibrium condition; carrying out centralized training and distributed execution on the coordinated game framework by adopting a multi-agent depth deterministic strategy gradient algorithm based on supply and demand perception; and the intelligent agent carries out collaborative decision making based on the global supply-demand imbalance degree and local observation.

The invention relates to the technical field of power distribution network fault self-healing, in particular to a power distribution network fault self-healing method based on intelligent distributed feeder automation, which comprises the following steps of: acquiring a permanent fault signal of a feeder section of a power distribution network and an isolated network topology; based on the updated network topology, obtaining a real-time load value weight of each load node in the non-fault power-loss area and an output upper limit of the distributed power supply; an optimal power supply recovery path is determined based on distributed calculation by taking the maximum recovery total load value weight as a target, and the determination of the path needs to meet the output constraint of the available distributed power supply; and controlling the interconnection switch and the section switch on the path to execute switching-on and switching-off operations, forming a new power supply network, completing self-healing, and verifying the power flow distribution in the newly formed power supply network. After power supply is restored, the states of voltage and current are verified through load flow calculation, and voltage out-of-limit is improved through reactive power output adjustment of the distributed power supply without manual intervention.

The invention provides an urban rail system emergency scheduling method and system combined with big data analysis, and relates to the technical field of urban rail transit, and the method comprises the steps: firstly, converging dynamic monitoring data of an urban rail system, including train real-time working conditions, station region people flow distribution, rail structure vibration, power supply network load and external environment interference data; secondly, constructing an abnormal evolution topology based on the data, taking data fluctuation characteristics as nodes, connecting the nodes into a network by reflecting evolution association strength of a mutual induction relationship, and then identifying key conduction nodes and diffusion boundaries from the abnormal evolution topology; then, key conduction nodes, diffusion boundaries and emergency resource layout data are combined to generate a collaborative scheduling matrix which comprises multiple sequences such as resource pre-scheduling, train path reconstruction, station load evacuation and system function compensation and is linked through time sequence correlation parameters; and finally, converting the cooperative scheduling matrix into executable scheduling instruction sets, and pushing the executable scheduling instruction sets to corresponding control terminals according to execution subject classification, thereby realizing efficient emergency scheduling.

The invention provides a public transport supply and demand matching method and a related device, and belongs to the technical field of traffic engineering and urban planning. According to the invention, the matching degree of a supply network and a demand network is calculated through a supply-demand matching evaluation algorithm, and a public transport supply-demand matching index of a spatial analysis unit is obtained; and obtaining a public traffic supply and demand matching result based on the public traffic supply and demand matching index. According to the invention, the problem of low accuracy of public transport supply and demand matching is solved.

The invention relates to the technical field of water supply and drainage, and hardware equipment comprises a fluid guide unit, a distributed optical fiber sensing system, a microcapsule self-repairing coating, a pump station composite power generation device, an edge computing gateway, a PLC control unit, a direct-current power supply network, a high-performance computing cluster and a cloud server. The software system comprises a holographic digital twinning and swarm intelligent optimization module, monitoring management and operation and maintenance platform software and a mobile inspection application. Fluid guidance, a multi-point super-hydrophobic micro-channel, a self-repairing coating, distributed optical fiber monitoring, edge calculation and cloud digital twinning are highly integrated, so that closed-loop optimization from energy collection to intelligent scheduling is realized; through real-time high-resolution monitoring and microcapsule in-situ self-repairing, initial crack online detection and automatic plugging are realized; continuous and reliable operation of key equipment is realized through distributed energy recovery and double-bus redundant power supply; and millisecond decision execution and system flexible upgrade are realized through edge cloud collaborative scheduling and online expansion.

The invention belongs to the technical field of power supply and distribution of a data center, and provides an electrical protection method and system for power supply and distribution of the data center, aiming at the data center of a 2N power distribution architecture, electric energy parameters of two paths of external mains supply are collected and transmitted to an EMS of an energy storage system, and system charging and discharging power is controlled and adjusted through the EMS. According to the fact that the sum of the power on the two alternating current buses is larger than a set protection threshold value, the first switch device is controlled to cut off the connection between the energy storage system and the second alternating current bus, overload of a superior line or a transformer during charging or power supply switching is prevented, and in addition, through the measures of a reverse power detection device, first-path voltage loss linkage and the like, the energy storage system can be effectively protected. An external electrical protection system independent of the energy storage system is added to form dual protection, so that a dual fault superposition scene of energy storage system faults or power grid faults is effectively isolated, and the reliability of an originally designed power supply network of the data center is guaranteed.

The object of the present invention is to achieve redundancy of a power supply function by a simple configuration, to ensure operational continuity in case of failure. A power grid (1) comprises: a first power supply path (20-1) that is connected to a main engine-driving power source (100-0) of a vehicle via a power conversion device (101) and to loads (40-1, 41, 42-1) ; and a second power supply path (20-2) that is connected to a power source (100-2) different from the main engine-driving power source (100-0), to loads (40-2, 41, 42-2), and to the first power supply path (20-1) via a switch SW0. The switch SW0 is closed when the first power supply path (20-1) and the second power supply path (20-2) are normal, and is opened when the first power supply path (20-1) or the second power supply path (20-2) is abnormal.

The disclosure relates to a control method for operating an inverter in an energy grid that is connected to an energy supply grid via a controllable disconnecting switch. The method includes operating the inverter in a current-impressing mode when the disconnecting switch is closed, and monitoring the power supply network for a voltage drop. When a voltage drop is detected, the inverter operating mode is changed to a voltage-setting mode, wherein a provisional voltage is set by the inverter. After a predetermined period of time has elapsed after detection of the voltage drop, when the voltage drop persists, the disconnecting switch opens and the voltage set by the inverter is increased to the grid normal voltage. After a predefined time period after detection of the voltage drop, when failure of the energy supply grid does not persist, the inverter operates in the current-impressing mode.

A system and process to generate product brand loyalty and provide incentives at the agent-to-agent level of the supply network tree is disclosed. Exemplary embodiments provide a “dynamic coupon” which is a dynamic electronic file construct that includes a changing value associated with a product / service. The dynamic coupon improves for example the effectiveness of existing cashback coupon programs. The coupon may be integrated into a digital wallet, which may be provided to user members (for example agents in the supply chain) on a loyalty network. Each owner of a digital wallet may have dynamic coupons in their wallet that are accrued based on consumer activity with products or services they are involved with. The coupon may be product specific, attached directly to the finished consumer good / service.

A communication method for artificial intelligence (AI) / machine learning (ML) operations includes a network entity discovering trustworthiness capabilities for analytics and / or models, where a network data analytics function (NWDAF) is enabled to support a model training logic function (MTLF) with trustworthiness capabilities for ML models, the NWDAF is enabled to support an analytics logic function (AnLF) with trustworthiness capabilities for analytics, or a network repository function (NRF) includes trustworthiness capability provisioning per ML model. The network entity can be the NWDAF or a NWDAF consumer.

The invention discloses a composite insulation monitoring equipment cooperative work control system and method suitable for a complex ship power supply network. An acquisition module in the system acquires a state signal of the complex ship power supply network through a digital quantity input signal cable; the control unit is in communication connection with the acquisition module and is used for receiving the state signal and executing cooperative control logic; the output module is in communication connection with the control unit and is connected with an expansion relay through a digital quantity output signal cable, and the expansion relay is used for controlling input or quit of the insulation meter. The on-off state of each circuit breaker and the operation state of each insulation monitor are collected, the input and the output of each insulation monitoring meter are controlled according to a manually set requirement principle, and the condition that one insulation meter continuously works is avoided by setting a certain cycle time and changing the priority among the insulation monitoring meters. According to the control method, various insulation monitoring devices on a certain type of ship can be matched for use, and a continuous and effective power grid insulation state monitoring function is realized.

The invention discloses a hard disk aging test method. According to the method, a multi-hard-disk parallel access configuration technology is applied, a computer mainboard expansion interface is connected with a plurality of hard disks through a high-speed adapter plate, and meanwhile, an independent external power supply network is constructed to guarantee power stability. Complex working conditions are simulated through a multi-task synchronous test driving and dynamic load balancing algorithm, task allocation is optimized, and the accuracy of test data is improved. A multi-level fault response mechanism is adopted to process faults in time, and fault diffusion is prevented. The test result is quantitatively evaluated based on the preset multi-dimensional evaluation model, and a scientific basis is provided for hard disk reliability grading. The method effectively solves the problems of low efficiency, poor stability, inaccurate result and the like of a traditional test, and has a wide application prospect in the fields of hard disk production, maintenance, quality inspection and the like.

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

The invention provides a configuration method for reconstructing a self-healing function of a traction power supply system, which adopts a hierarchical and hierarchical configuration mode, expands a mode flow step by step by a configuration tool according to an optional power supply network configuration scheme, intelligently selects an applicable action flow according to the current network condition during engineering application, and improves the self-healing function of the traction power supply system. The configuration of reconstructing the self-healing function is simply and quickly completed. According to the method, all action steps involved in the reconstruction self-healing process are switched, and meanwhile, switch attributes such as switch types, action time and synchronous actions are set for each switch, so that the reconstruction self-healing function can be completed more accurately, effectively and quickly. According to the method, real-time reconstruction self-healing process confirmation and modification can be provided, under the condition that a device is not restarted, the mode process is modified through a real-time human-computer interaction interface, the modified and confirmed reconstruction self-healing mode process is sent to a dispatching end for confirmation, and various unexpected field conditions can be flexibly coped with.