674 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 invention relates to the technical field of cable short-circuit fault detection, in particular to a power distribution network cable short-circuit fault detection method combined with a power supply network topological relation, and the method comprises the steps: collecting the three-phase current and three-phase voltage of each node at each moment in a power distribution network, and the impedance of each node; determining the current abrupt change rate of each node at each moment; obtaining primary fault features of each node at each moment; obtaining an attenuation coefficient of each node at each moment; determining each fault isolation area in the power distribution network according to the connection state of a circuit breaker in the power distribution network; determining the propagation attenuation weight of each node at each moment; and performing weighting processing on the primary fault features through the reciprocal of the propagation attenuation weight, and detecting the short-circuit fault of the power distribution network cable by using a hybrid classifier by using the weighted primary fault features of all nodes at each moment and combining the node adjacency matrix of the power distribution network and the three-phase current and the three-phase voltage of all the nodes. According to the invention, the accuracy of cable short-circuit fault detection is 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.

The invention relates to a ship power supply system fault reconstruction method based on genetic particle swarm hybrid optimization, and the method comprises the steps: building a simulation model based on a typical annular structure of a ship power supply network, and enabling the structure of the ship power supply network to cover a plurality of generators and different levels of power loads; normal and standby power supply lines are adopted to ensure the flexibility and redundancy of the system, priority ranking is performed on loads, and the continuity of key loads is ensured through dual-path power supply; according to the ship power supply network fault reconstruction method, branch faults or generator faults can be simulated, an improved self-adaptive hybrid genetic particle swarm algorithm is integrated into an established simulation model, a potential solution in a ship power supply network fault reconstruction problem serves as particles, an optimal post-fault configuration scheme is obtained, and network topology structure reconstruction after fault handling is completed. On the basis of being compatible with a traditional intelligent algorithm, the method has the advantages of being high in convergence speed, high in precision, high in stability and capable of achieving multi-node collaborative optimization. The method can be applied to research issues such as ship power system fault reconstruction monitoring, intelligent algorithm optimization, fault diagnosis and positioning and the like.

The invention relates to the field of intelligent early warning of guaranteed power supply, and provides an abnormal early warning method and system for a guaranteed power supply system, and the method comprises the steps: obtaining the topological structure, real-time operation data and equipment state data of each node in a guaranteed power supply network, employing the conditional entropy and instantaneous causal entropy calculation technology, precisely evaluating the causal intensity between variables, and achieving the early warning of the abnormal state of the guaranteed power supply system. And a causal adjacency matrix dynamically changing along with time is constructed to reflect a complex causal relationship in the network. Then, in combination with an equipment topological structure and dynamic causal information, multi-scale time sequence features are extracted through feature updating and expansion causal convolution, and a comprehensive feature vector is formed; after the vector is input into the Bayesian neural network, a plurality of prediction value samples are generated through sampling weight distribution, a mean value is used as a prediction result, and the prediction uncertainty is measured through variance. Accurate prediction and timely early warning of potential anomalies of the power supply system are realized, and the stability and safety of the system are effectively improved.

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 the field of power supply network fault recovery, in particular to an intelligent fault diagnosis and recovery method and system for a coal mine power supply network. The method comprises the steps of obtaining a fault node of a power supply network system; determining a priority sequence among the fault nodes based on the characteristics of the fault nodes; the features of the fault node comprise the equipment load capacity of the fault node, the power supply network stability contribution degree of the fault node and the load recovery adjustment amount of the fault node; and adjusting the voltage of the fault node according to the priority sequence until the voltage of the power supply network system is recovered to the normal voltage. According to the invention, by recovering the fault node with high priority, the voltage of the surrounding area is driven to tend to be stable, and the overall voltage deviation is reduced, so that the voltage recovery efficiency of the power supply network system is improved.

The invention provides an automatic energy distribution control method for an internal electric hybrid motor train unit. The method comprises the following steps: connecting a rectification output end of a generator set network with a variable current output end of a power battery network in parallel; electric signals of the parallel output end are collected and fed back to the excitation system in the generator set network and the DC-DC converter system in the power battery network; sending a first voltage upper limit value to the excitation system according to the locomotive traction level handle position, sending a second voltage upper limit value to the converter system, and configuring the first voltage upper limit value to be greater than the second voltage upper limit value so that when the voltage of the parallel output end is less than or equal to the second voltage upper limit value, the power battery network is used as a main power supply network; and when the voltage of the parallel output end is larger than the second voltage upper limit value and smaller than or equal to the first voltage upper limit value, the generator set network serves as a main power supply network and charges the power battery network. The output power of the generator set network and the power battery network can be automatically distributed according to the traction level handle position.

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 present disclosure relates to an Unlocking system for unlocking the opening of a door or gate, a protection or the like, comprising: at least one power supply control device, interposed between a power supply network and a load to be supplied; an unlocking unit, having an actuator, comprising a body that can be fixed to a door or gate, and an engagement member, and an actuation unit, which can be fixed to a frame in correspondence with an opening, closed by said door or gate, wherein said actuation unit comprises a blocking member, engageable with said engagement member when said door or gate are closed, and a logic control unit, configured or configurable to control the operation of said at least one power supply control device, so as to allowing the interruption of the power supply of said load, and activating the blocking member, releasing the engagement member, after a predefined or predefined time interval.

The invention relates to the technical field of power distribution network management, and particularly discloses a micro-grid configuration method and system for a weak transformer area in a mountainous area, and the method comprises the steps: obtaining line data according to an instrument installed at an output point location and an instrument installed at a monitoring point location, and carrying out the two-dimensional processing of the line data; identifying the line data after the two-dimensional processing, and determining the spatial anomaly degree of each output point location; identifying the line data of each output point location, and determining the time anomaly of each output point location; and carrying out statistics on space anomalies and time anomalies of all output point locations, and determining energy storage nodes. According to the method, space-time analysis is performed on the data of all the output point locations, some unstable output point locations are selected, some energy storage nodes are additionally arranged based on the output point locations and are used for supplying energy to the output point locations, and the stability of the whole power supply network is improved.

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 relates to a system configuration method and device based on probability prediction and credible regulation potential quantification, and the method comprises the steps: inputting the source load data of a typical scene into a trained QRLSTM model, obtaining a source load probability prediction result, describing the time sequence correlation of photovoltaic and load through a small number of scenes, and achieving the effective quantification of prediction uncertainty; flexible resources of the heat supply network and the cold supply network are aggregated in sequence by adopting a robust optimization algorithm, dispatching decoupling of thermoelectricity, heat cooling and cold electricity is realized, the maximum upward / downward adjustable potential and credible adjustment potential of the heat supply network and the cold supply network to the power grid are accurately quantified, and the problem of strong information barriers among energy systems is solved; according to the method, the source load probability prediction and the flexible resource credible adjustment potential are taken as boundaries, the cost minimization is taken as a target, the double-layer multi-scene collaborative optimization configuration model is constructed, the uncertainty of the source load is accurately described, the adjustment capability of the flexible resource is quantified, and the economy and the flexibility of planning operation of the integrated energy system are integrally improved.

The embodiment of the invention provides a hybrid redundant power supply system and a vehicle. The system comprises a 12V power supply network, a 48V power supply network and a bidirectional DCDC, the 12V power supply network comprises a low-voltage power distribution unit, the low-voltage power distribution unit is integrated with a 12V safety switch, the 12V safety switch is used for 12V power supply redundant power supply and meets the function safety ASIL-D requirement, the 48V power supply network comprises a medium-voltage power distribution unit, the medium-voltage power distribution unit is integrated with a 48V safety switch, the 48V safety switch is used for 48V power supply redundant power supply, and the bidirectional DCDC is connected with the medium-voltage power distribution unit. And the bidirectional DCDC is connected in series between the 12V power supply network and the 48V power supply network, and is used for mutual standby power supply between the 12V power supply network and the 48V power supply network. On the basis of meeting the power supply requirement, the complexity and the failure rate of the power supply system are reduced, and the expansibility and the compatibility are improved.

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 power supply network disaster emergency processing, and discloses a power grid operation disaster weather power supply emergency decision control system and method, and the system comprises a power supply network disaster weather emergency inspection processing module, a power supply network disaster weather emergency processing countermeasure analysis module, and a power supply network disaster weather emergency operation control module. Based on an intelligent recognition algorithm, the type of disaster weather in a geographic area where a target power distribution network is located is accurate, emergency inspection equipment information needed for specific disaster weather is scientifically evaluated, and intelligent processing of power grid operation disaster weather power supply emergency decision control is achieved. Target power supply network object disaster emergency inspection path information is accurately searched based on an intelligent search algorithm, and power supply network disaster weather emergency inspection operation is autonomously and efficiently executed in combination with power supply network disaster emergency inspection equipment information, so that power supply emergency inspection operation is efficiently and accurately executed in electric power disaster weather; and the efficiency and reliability of power supply emergency processing in electric power disaster weather are improved.