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.

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 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 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 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 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 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 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 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 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 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.