211 results about "Meteorological disasters" patented technology

The invention discloses a grid meteorological disaster monitoring and early warning system which comprises a data collection subsystem, a data analysis subsystem, a data storage subsystem and a disaster weather comprehensive display subsystem, wherein the data collection subsystem is responsible for completing a collection task of original meteorological monitoring data. The original meteorological monitoring data is composed of automatic meteorological station data, Doppler radar data, meteorological satellite data and value forecasting data. The data analysis subsystem is responsible for analysis of original meteorological data, cutting a satellite cloud picture, and finally storing processed data into the data storage subsystem. The data storage subsystem is responsible for storing original data of data of various stages and types, including original data, a relational data, a vector data and a picture, the original data is received from a meteorological department, the relational data is analyzed by the data analysis subsystem, the vector data is analyzed by the data analysis subsystem, and the picture is processed by the data analysis subsystem. The disaster weather comprehensive display subsystem is responsible for system function display. The grid meteorological disaster monitoring and early warning system can accurately position grid facilities which are affected by disaster weather.

A system for pre-warning of typhoon risks of overhead transmission lines of a grid comprises a typhoon live information presentation module and a typhoon forecasting information module, wherein the typhoon live information presentation module and the typhoon forecasting information module are externally connected with a weather bureau through a data private network provided with firewalls respectively; relevant data coming from the weather bureau are received when a typhoon crosses a 24-hour warning line of a sea; the used data are selected and calculated by the typhoon forecasting information module, and are calculated by a pre-warning data analysis module; and finally, the data are transmitted to a typhoon risk pre-warning module of the grid for comprehensive data processing, and a risk line set and pre-warning grades of the risk line set are output to the presentation module through judgment of the comparison between the wind speed and the designed wind speed. The invention further comprises a method for pre-warning of typhoon risks of overhead transmission lines of the grid by using the system. The system and the method are applicable to an electrical power system universally, in particular, power transmission and distribution networks in coastal areas, so that capacity of the grid for adapting to meteorological disasters which occur frequently day by day is improved; the trip-out rate of lines under a typhoon environment is reduced, and the safe and stable power supply of power transmission and distribution line channels is guaranteed.

The invention relates to a typhoon disaster risk estimate method. The method includes performing statistics and analysis on loss data caused by a typhoon disaster in a specified monitored area, selecting disaster-inducing risk, disaster-formative environment sensitivity, disaster-affected body vulnerability and disaster preventing and reducing capacity to build a typhoon disaster risk estimate index system, building a typhoon disaster risk estimate model with the theory of fuzzy transformation, taking typhoon estimate results as start conditions and input conditions of the estimate model, and judging whether the estimated area is induced a typhoon disaster or not in a future period of time and determining a disaster-inducing risk level through calculating and analyzing of the estimate model. Accordingly, early-warning capability of meteorological disasters is improved by the typhoon disaster risk estimate method.

The invention relates to a microclimate disaster early warning method and system based on microclimate and satellite remote sensing data, and belongs to the field of meteorological disaster early warning of an electrical power system. The microclimate disaster early warning method and system are characterized in that the satellite remote sensing technology is applied to power grid meteorological disaster monitoring, and combined application of macrometeorology and microclimate is achieved. Meteorological data in a ground observation database and satellite remote sensing observation data in a satellite remote sensing observation database are transmitted to an early warning platform server through a GSM network. Deep excavation on the observed data is carried out through analytical procedures, statistical information including the maximum value, the minimum value, the average valve and the like within any historical time period are settled, and specific information of the monitoring points is visually described for a user in the mode of graphs, curves and the like. The influence scope of the disaster weather are judged according to the disaster gradation standard,, power grid facilities influenced by the disaster weather are accurately positioned, and data supports and decision supports are provided for disaster prevention, disaster resistance and disaster reducing of power grids.

The invention discloses a meteorological disaster early warning information publishing system and a meteorological disaster early warning information publishing method on the basis of a Beidou satellite. The early warning information publishing system comprises an early warning information publishing platform, a Beidou short message communication publishing terminal, a short message processing module, a monitoring module, an area identification module, a Beidou early warning information publishing module and a special receiving terminal for the Beidou satellite. The early warning information publishing system has the advantages of small volume, low power consumption and high real-time performance. In the early warning information publishing method, the short message processing module carries out preprocessing on a Beidou short message to obtain early warning information to be published; the monitoring module monitors position information of the special receiving terminal for the Beidou satellite; and the Beidou early warning information publishing module publishes the early warning information according to the position information. According to the meteorological disaster early warning information publishing system and method on basis of Beidou satellite provided by the invention, sub data packets are subjected to self-adaptive grouping preprocessing, so that the flexibility of transmitting the early warning information is improved; and due to the adoption of dynamic encoding, the defect that a code tree does not meet the length condition of the minimum weighted path due to the change of symbolic coding is avoided; and due to the utilization of a pocket supplementing flow and a pocket query flow, the error detection function of the service early warning information data transmission is increased.

The invention discloses a system and a method for publishing meteorological disaster warning information and based on mobile phone clients. The system and the method are applied to a subsystem of wireless communication network information pushing and sending. The method comprises the following steps that a meteorological disaster warning information platform receives the meteorological disaster warning information published by a meteorological competent department, the platform arranges to-be-required position information provided by a business receiving end at the side of the network, and connection between the warning platform and the mobile terminal clients is established. In addition, the method comprises two modes, namely establishing and keeping long-term connection with mobile clients which support a permanent online push function and sending inquire requests to the warning platform regularly by the clients. Through the system and the method, the meteorological disaster warning information can be pushed to mobile terminals of the clients timely and reliably, and different warns reminding the clients of checking can be sent according to the warning levels of the warning information. Through a global position system (GPS) locating system and position information within the range of a base station where the mobile terminals are, present-position information of users are determined so as to enable the warning information to be sent to the mobile terminals of the users effectively.

The invention discloses a warning and analyzing method for power facility damage based on meteorological data, comprising the following steps: collecting meteorological, geological and hydrological information of an area where grid equipment is located in real time; matching the monitored meteorological, geological and hydrological data information with grid lines or the grid equipment and storing the monitored meteorological, geological and hydrological data information; extracting meteorological data, power facility data and facility damage historical data; setting a warning threshold, and carrying out warning for and evaluating and displaying major meteorological disasters in the area where the grid equipment is located; integrating the extracted data, and analyzing the probability of facility damage based on the data after integration; comparing the result of analysis with the warning threshold, and issuing a warning instruction if the result of power facility analysis exceeds the threshold; and allocating, deploying and commanding emergency personnel, emergency vehicles and emergency supplies online according to the warning content, the level of warning and the level of emergencies.

The invention discloses a thunderstorm cloud cluster identification method and system for a meteorological satellite cloud picture. The method and system performs disc picture data analysis, projection transformation, median filtering, multiple image segmentation, and thunderstorm cloud cluster automatic identification on satellite original data, performs spectrum characteristic analysis and texture characteristic analysis on the basis of cloud cluster clustering to finally obtain the coverage, the intensity, and the motion locus of the thunderstorm cloud cluster. The invention further provides a thunderstorm cloud cluster identification system for a meteorological satellite cloud picture so as to systematically, efficiently, and automatically execute the above method, rapidly process and respond to meteorological satellite cloud picture data at each time level and continuous time sections, identify the thunderstorm cloud clusters, track the development and change of the thunderstorm cloud cluster, and provide valid technical support for prediction and early warning of meteorological disasters.

The invention discloses a meteorological disaster automatic monitoring and early warning system and relates to the technical field of meteorological early warning. The system comprises a front end collection unit composed of an atmosphere pressure sensor, a radiation sensor, an illumination sensor, a soil water content sensor, an atmosphere humiture sensor, a wind velocity indicator, an anemoscope, a rain and snow sensor, a rainfall sensor, a soil temperature sensor, a fixed declinator and a GPS position indicator, an intermediate transmission unit and a network platform. The front end collection unit is connected with the intermediate transmission unit. The intermediate transmission unit is connected with the network platform. The front end collection unit is capable of realizing field monitored data automatic collection and active sending and is compatible with various kinds of sensors, and automatic monitoring stations distributed in different areas are respectively connected with the network platform through a wireless communication network. The meteorological disaster automatic monitoring and early warning system is convenient to operate, the monitored data is real and stable, the processing and analysis are high in speed, the field information can be grasped anytime and anywhere, reuse is available, the manpower cost is saved, and the compatibility is good.

The present invention relates to the field of meteorological disaster early warning of an electrical power system, and discloses an electric transmission line rainstorm disaster fine prediction methodand system based on an inverse algorithm which are used to refine a rainstorm disaster prediction result to a concrete electric transmission line. The method comprises the steps of: generating a rainfall lattice point prediction file comprising rainstorm disaster index prediction value of each lattice point through a rainstorm disaster prediction and calculation model, and employing the space search of a power grid GIS to perform space intersection for the electric transmission line tower coordinate information and obtain the electric transmission line tower information of a rainstorm area; employing a power grid GIS space line to form electric transmission line space information of a rainstorm disaster; and employing a meteorological factor space interpolation method and combining the electric transmission line of the rainstorm disaster influence to generate an electric power line rainstorm disaster prediction and early warning distribution map through the rainstorm disaster prediction lattice point file, employing the same color to describe the electric transmission lines in the same rainstorm disaster index, and employing other colors to distinguish the electric transmission lines in different rainfall indexes.

The invention discloses a method for testing the critical freeze damage temperature of a plant, and a system thereof, and belongs to the agricultural meteorological disaster monitoring and control field. The method comprises the following steps: putting a plant to be tested in a low-temperature constant-temperature incubator, stimulating natural frost conditions by using the low-temperature constant-temperature incubator, a speed adjustable fan and a humidifier to make the plant to be tested frozen, allowing one end of a working electrode to contact with the plant to be tested, connecting a high precision LCR tester by the other end of the working electrode, applying an AC excitation voltage signal to the working electrode, acquiring the electric signal of the plant by the working electrode, transmitting the electric signal to the high precision LCR tester, converting the electric signal into a digital signal, displaying, storing and processing in a computer for data analysis, and analyzing the change characteristics of the electric signal of the plant in order to obtain the freeze damage temperature of plant. The method and the system can be used for accurately measuring the critical freeze damage temperature of the plant, can be used in airflow disturbance frost prevention control, and provides important control parameters for the airflow disturbance frost prevention control.

The invention provides a comprehensive meteorological observation operation monitoring system and a monitoring method thereof. The comprehensive meteorological observation operation monitoring system comprises a primary operation monitoring system and a secondary operation monitoring system; the primary operation monitoring system is used for monitoring the operating condition of nationwide meteorological detection equipment; the secondary operation monitoring system is used for monitoring the operating condition of provincial meteorological detection equipment; the primary operation monitoring system is used by primary users; the secondary operation monitoring system is used by secondary users, tertiary users and quaternary users in the monitoring area of the secondary operation monitoring system to conduct comprehensive meteorological observation operation monitoring. The comprehensive meteorological observation operation monitoring system and monitoring method have the advantages that the operation and guarantee capability of the equipment are promoted through the upgrading and application of the operation monitoring systems; the service performance, guarantee performance and economic benefits during monitoring and early-warning of meteorological disasters, and meteorological guarantee and service for great social events are relatively high.

The invention, which belongs to the technical field of power system planning, provides a distribution network differential planning method with consideration of a composite fault risk. The method comprises: according to a climatic condition of a region where a distribution network is located, meteorological protection levels of the region are set; historical failure rates of all lines under all meteorological protection levels are calculated; according to the historical failure rates, composite line failure rate prediction values are planned; candidate distribution network differential planning schemes are formulated; and a comprehensive evaluation system is constructed, all candidate distribution network differential planning schemes are evaluated, and then an candidate distribution network differential planning schemes is selected. According to the distribution network differential planning method, with consideration of influences on the distribution network by composite meteorological disasters, the comprehensive disaster handling capability of the distribution network is enhanced and security operation of the distribution network is guaranteed; on the basis of the composite failure rate economic risk evaluation, a cost and a failure disaster risk are balanced; the planning scheme is evaluated in terms of the failure recovery capability, so that the method has an important practical significance in promoting application and perfection of distribution network planning work; and the distribution network planning efficiency and planning quality can be improved.

The invention discloses a projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture, belonging to the technical field of the evaluation of the meteorological disasters. The projection pursuit-based risk evaluation method comprises the following steps of: fitting and acquiring historical meteorological data by means of a neural network; counting the annual occurrence frequency of the meteorological disasters in various grade, calculating to acquire disaster comprehensive indexes of evaluation indexes, and establishing disaster comprehensive index grading standards of the evaluation indexes; constructing projection functions of the historical meteorological data, and acquiring the optimal projection vector by an accelerating genetic algorithm; and building a risk evaluation model according to projection values of the meteorological data on the optimal projection vector and the disaster comprehensive index grades of the evaluation indexes. The projection pursuit method is applied to the field of the risk evaluation of the meteorological disasters of the facility agriculture, the projection vectors are optimized by combining with the accelerating genetic algorithm, and the actual meteorological data are taken as input data of the evaluation model, the accuracy of risk evaluation results is high, and new thoughts and methods are provided for the research of the risk evaluation of the meteorological disasters.

The invention discloses a system for deciding the power shedding load based on line breaking fault rate prediction, which comprises an SCADA (Supervisory Control And Data Acquisition) system, a power meteorological on-line service system, a database server, an application server and a human-machine interconnected subsystem, wherein the SCADA system and the power meteorological on-line service system are accessed into the database server which is accessed into the human-machine interconnected subsystem through the application server; and finally, the human-machine interconnected subsystem is accessed into the SCADA system. The invention also discloses a load shedding method of a power system, which comprises the steps of on-line electric value data and real-time meteorological data acquisition, extreme value probability prediction of line breaking faults of a power transmission line, random optimizing, scheduling and modeling, sampling average approximate treatment of line transmission power chance constraint, differential evolution solving of a model and optimal load shedding capacity calculation. The invention has high calculation speed and high accuracy, thoroughly solves the technical problem of the random optimization scheduling of uncertain line breaking faults under extreme meteorological disaster and provides a reliable theoretical basis for a load shedding decision of the power system under the extreme meteorological disaster.

The invention relates to a computer control system, in particular to an early warning system for a power grid meteorological disaster. The early warning system is structurally characterized by comprising a Doppler radar, a radar data processing device, a radar data recognition device, a latitude and longitude sampling device, a power grid GIS (Geographic Information System) and a short time forecasting device. The invention has the advantages that: organic integration of regional information and disaster information is realized on Doppler radar data and the power grid GIS system, so that the meteorological condition of a set region can be seen intuitively in the power grid GIS system, short-term forecasting information of a corresponding condition is obtained, power grid equipment and a running state which are possibly influenced by the meteorological disaster are protected, an important early warning effect is achieved, the influence of the meteorological disaster on the power grid equipment and running is reduced, important decision basis is provided for comprehensive precaution or preparedness against natural calamities, the disaster monitoring, disaster early warning, disasterpreventing, disaster dealing and disaster treating capabilities of the power grid are remarkably enhanced, and the safe running level of the power grid is raised.

The invention discloses a power-grid-GIS-based real-time early warning method and apparatus of a satellite cloud picture. The method comprises: a power grid equipment coordinate at an early warning area is localized; a power grid equipment graph layer is determined according to the coordinate of the power grid equipment; the power grid equipment at the specific longitude and latitude is monitored in real time and meteorological data in meteorological cloud picture information of the power grid equipment coverage area are obtained; matching of the monitored meteorological data in meteorological cloud picture information and a disaster weather early warning model is carried out to determine a disaster weather type; a disaster weather chart layer is established on the power grid GIS according to the longitude and latitude positioning information; and the data association processing is carried out to realize regional refined power grid meteorological disaster early warning at different time intervals. The method and system have the following beneficial effects: a professional early warning model for disaster weather can be established and regional refined early warning for power facilities at different time intervals can be realized; disaster destructiveness is effectively reduced; and targeted measures and specifications for wind prevention can be formulated; and the losses of the power grid can be reduced.

The invention discloses a static safety analysis based power grid meteorological disaster risk assessment method. The static safety analysis based power grid meteorological disaster risk assessment method comprises the following steps of analyzing a meteorological disaster (comprising thunder, forest fire, high wind, coating ice and the like) influence range and giving out a meteorological disaster influence device list in combination with power grid GIS (Geographic Information System) information; performing static safety analysis on devices within the meteorological disaster influence range, performing quantitative evaluation on power grid risks through a static safety analysis result and dividing five-level alarm according to risk values. Additionally, the invention also discloses a static safety analysis based power grid meteorological disaster risk assessment device. The static safety analysis based power grid meteorological disaster risk assessment method and device provide accordance for power grid meteorological disaster risk quantification and provide aid decision making for power grid comprehensive disaster prevention.

The invention discloses an automatic spray irrigation frost prevention system and method for plants, belongs to the field of agro-meteorological disaster monitoring and control, and solves the problem of excessive water utilization caused by an excessive operating mode and a simple control mode of irrigation frost prevention. The method comprises the steps as follows: water in a pond or a lake is upwards sprayed in the lower direction of plant canopy by a nozzle after pressurized by a water pump; and a wet bulb temperature higher than a critical plant freeze injury temperature by a certain threshold is set as a set value, after the set value is compared with wet bulb temperatures of areas at different planting temperatures, switching on and switching off of the water pump and electromagnetic valves in areas are controlled, so that the spray irrigation frost prevention in the areas is controlled respectively. With the adoption of the automatic spray irrigation frost prevention system and method for plants, automatic spray irrigation frost prevention of plants can be realized, the water utilization amount is reduced, and accordingly, the automatic spray irrigation frost prevention system and method are suitable for plant frost prevention of areas with the water source condition.

The invention discloses a meteorological disaster situation real-time reporting system based on Beidou short message communication. The system comprises a disaster situation reporting handheld terminal and a command center. A master control module in the disaster situation reporting handheld terminal is physically connected with a Beidou positioning and message transmission integrated module, a power module, a storage module, a touch screen and display module and a data interface module. A Beidou application server in the command center is connected with a Beidou transmitting and receiving array, a disaster situation geographic information system, a data backup server and a Web server, and the command center is connected with the disaster situation reporting handheld terminal through a Beidou satellite system. The meteorological disaster situation real-time reporting system can rapidly report disaster situation information and meet the requirement for meteorological disaster emergency command and rescue in real time on the condition of mobile signal interruption when major meteorological disasters occur, and the emergency command and disaster rescue speed can be increased to the maximum degree.

The invention discloses a differentiation based power transmission network anti-disaster ability planning method which is used for improving an anti-disaster ability of a power transmission network when a meteorological disaster occurs. The differentiation based power transmission network anti-disaster ability planning method comprises the steps of: firstly, developing an IEEE standard based tri-state meteorological condition to obtain a relationship between a fault rate of a power transmission line at different anti-disaster protection levels and the meteorological disaster; obtaining a fragility index and a goal by utilizing Monte Carlo simulation and an optimized load shedding algorithm. The fragility index and a planned construction cost serve as an objective function of multi-goal power transmission network planning; an NSGA-II algorithm is used for obtaining optimal Pareto disaggregation of a power distribution network planning scheme and is used for decision-making in the later period. The verification shows that the provided power distribution network planning method can determine the anti-disaster protection level of each power distribution line exactly, accordingly improves the anti-disaster ability of the power distribution network efficiently when the meteorological disaster occurs, meanwhile reduces line construction cost to the maximum extent and achieves important reference value for the planning of the power distribution network in the environment where meteorological disasters occur frequently.

The invention discloses an agricultural meteorological factor online spatial visualization analysis method. The method includes the following steps that: step 1, a base map of an agricultural meteorological factor thematic map is produced, and map services are distributed; step 2, a geographic information processing model of meteorological factors is established, and geoprocessing services are distributed; step 3, the data of each meteorological station in the agricultural meteorological factor thematic map are obtained; and step 4, a Web front-end calls the map services and the geoprocessing services, and the visualization of target data in the meteorological stations can be realized. With the agricultural meteorological factor online spatial visualization analysis method of the invention adopted, thematic map production in the agricultural meteorological monitoring and evaluation and agricultural meteorological disaster prediction and early warning field at present can be simplified; and references can be provided for data visualization analysis in other industries. The agricultural meteorological factor online spatial visualization analysis method has the advantages of high efficiency, convenience and high automation degree.

The invention relates to the technical field of risk assessment of electric power systems and specifically relates to method for assessing comprehensive risks of a power transmission line in multiplemeteorological disasters. The method for assessing comprehensive risks of the power transmission line in multiple meteorological disasters comprises the following steps: comprehensive trip-out risk probability of a power transmission line is obtained; the comprehensive trip-out risk probability is used for determining risk probability of reclosing success, risk probability of reclosing failure andsuccessful forced power transmission and risk probability of reclosing failure and unsuccessful forced power transmission; probability of comprehensive fault risks of the power transmission line is determined; according to a comprehensive coefficient of influence factors, probability of comprehensive risks of the power transmission line is determined; according to a risk and harm value, the comprehensive risks of the power transmission line are determined. Via the method, the comprehensive risks of the line are assessed, and pertinent prediction and theory support can be provided for a commander of an electric power system.

The invention discloses a wind velocity and direction wireless acquisition system and a method thereof. The system comprises wireless measurement nodes, a base station and a monitoring center. The wireless measurement nodes are arranged in a monitoring area and are used for measuring wind velocity and direction information of the position where the measurement node resides at real time and sending the measurement data to the base station and receiving control commands from the monitoring center. Each node has a unique ID number address. The base station is responsible for bidirectional information interaction between a sensor node and the monitoring center. The monitoring center acquires wind velocity and direction measurement data of a wireless sensor network and analyzes, saves, displays and manages the data. The system of the invention has characteristics of small volume, simple installation and maintenance, easy expansion, flexible communication and simple measurement, is convenient to carry, and can provide convenient, rapid and accurate measurement data for services such as weather forecast, meteorological disaster prevention, scientific research and the like.

The embodiment of the invention relates to a rural meteorological disaster early warning processing system, which comprises a meteorological server, an image coding server, a streaming media sever, a message pushing server and a terminal management platform server, wherein the meteorological server acquires and publishes real-time meteorological information, meteorological forecast information and disaster early warning information; the image coding server carries out coding processing on received video image data or static image data; the streaming media server processes the video image data, which is subjected to coding processing, into streaming media data; the message pushing server generates an early warning message according to received alarm information, and pushes the early warning message; and the terminal management platform server receives and processes the real-time meteorological information, the meteorological forecast information, the disaster early warning information, the static image data, the streaming media data and the early warning message, and sends the information to corresponding disaster early warning receiving and processing terminals, and the information is outputted into video information, image information and / or voice information through the disaster early warning receiving and processing terminals.

The invention relates to the field of meteorological disaster early warning of power systems, especially a power transmission line galloping prediction method and system based on inversion algorithm,and a storage medium. The method and system are used for the fine prediction of galloping caused by icing. The method comprises the steps: carrying out the coarse prediction of the region distributioncondition of the power transmission line galloping according to a galloping prediction calculation model and corresponding input elements; searching a power transmission line pole in a region which is predicted to be a galloping region according to the GIS information of a power grid, and recording the inversion information of the searched power transmission line pole; carrying out the spatial connection of poles correlated with two ends of each power transmission line segment according to the inversion information, and generating a power transmission line with the galloping index, wherein the secondary refining prediction of the galloping index needs to be carried out; carrying out the secondary refining prediction of the galloping index for all element points on the power transmission line based on a meteorological element spatial interpolation method, and carrying out the direct display of a prediction result according to the corresponding relation between a preset galloping indexand a color value.

The invention relates to a micrometeorological observation distribution point method for wind disaster monitoring suitable for complex terrain power transmission lines. Based on the statistical analysis of historical disaster data, the method proposes a rule-based space superposition method, spatial analysis methods of wind field simulation and a geographic information system at different heightsin a mesoscale weather forecasting mode are integrated, the selection of a microclimate observation station for power transmission lines in a region is realized, the distribution point observation andthe model simulation are adopted, the distribution situation of the wind field at different heights is grasped in real time and dynamically, the distribution situation of wind disasters to a tower station of power transmission lines is monitored, technical guarantee for the safe operation of power is provided, and a complete set of indoor comprehensive simulation analysis and the technical process of point selection combined with field practical reconnaissance is formed. The problem of the power failure of the tower station after the power transmission lines in the region suffers from the wind disaster is impossible to predict. The scheme is novel, the representation of the distribution point results is strong, technical support for the deployment of the strong wind meteorological disaster monitoring network of the power transmission lines is provided, and popularization and implementation are easy.

The invention provides a pre-disaster first-aid repair personnel pre-deployment method for improving the power grid recovery speed, which comprises the following steps: 1) after predicting an imminentdisaster, obtaining the fault probability of each element according to a power grid element vulnerability curve in combination with meteorological prediction and the geographic information of a powergrid, and generating a fault scene under the disaster through sequential Monte Carlo simulation; 2) acquiring information of a power grid, a repair team and deployable positions, establishing a two-stage stochastic programming model, formulating a deployment scheme of first-aid repair personnel in the first stage, and performing repair and recovery collaborative optimization according to a faultscene in the second stage to minimize power failure loss; and 3) carrying out decoupling solution on the two-stage stochastic programming model through a Progressive Hedging (PH) algorithm. Accordingto the invention, before the upcoming meteorological disasters are predicted, emergency maintenance personnel are deployed in the key links of the power grid, so that the emergency response capabilityof the power grid after the disasters is improved, the repair of fault elements is accelerated, and reasonable suggestions are provided for the formulation of power grid emergency plans.

The invention relates to the technical field of meteorological disasters of an electric power system, and discloses a power grid icing galloping risk prediction method and system, and a storage mediumin order to alleviate galloping disasters of power transmission lines of the power grid and improve the capability for dealing with icing galloping disasters and the safe and stable operation level of the power transmission lines of the power grid. The method includes: initializing parameter values of a restricted Boltzmann machine algorithm according to a training sample data set, then repeatedly learning and updating the parameter values until the restricted Boltzmann machine algorithm satisfies the convergence of the training sample data set, verifying the prediction precision Eavg of therestricted Boltzmann machine algorithm through verification of the sample data set, and continuing updating the parameters until the prediction precision is satisfied if the prediction precision Eavgis not in a preset precision; and further establishing a power grid icing galloping prediction model based on a back propagation algorithm, finally adjusting parameters of the power grid icing galloping prediction model according to the back propagation algorithm, and obtaining the icing galloping prediction model.

The invention discloses a clustering-based daily precipitation variation type classification and spatial distribution extraction method. The method comprises: on the basis of many years of hour-by-hour grid precipitation data, carrying out statistics to obtain a 24-dimensional vector corresponding to each precipitation index in each grid unit; standardizing the obtained 24-dimensional precipitation daily variation data; with different clustering data, clustering the standardized precipitation daily variation data based on a KMeans algorithm; analyzing clustering results and determining an optimal cluster number; merging similar classes in the clustering results to obtain a daily precipitation variation classification scheme, calculating each class of average daily variation characteristic,and forming a spatial distribution map of daily precipitation variation characteristics by positions of grid units included by all types in the obtained clustering result after merging. According tothe invention, problems of high subjectivity of area determination and poor accuracy of the extracted daily precipitation variation characteristic in the existing daily precipitation variation study are solved; and the clustering-based daily precipitation variation type classification and spatial distribution extraction method have the broad application prospects in fields of precipitation forecasting and meteorological disaster early warning and the like.