Meteorological disaster monitoring and early warning system and method for power distribution network

Abstract

The invention discloses a meteorological disaster monitoring and early warning system and method for a power distribution network, and relates to the technical field of meteorological monitoring and early warning, and the system comprises a data resource layer which is used for collecting meteorological information and power grid information; the technical support layer is used for generating a customized electric power distribution network meteorological service product according to the meteorological information, the power grid information and a meteorological service product template; the meteorological service product template comprises meteorological conditions customized by a user, and the electric power distribution network meteorological service product is used for providing meteorological disaster alarm in a customized meteorological condition range for the user. According to the invention, customized electric power distribution network meteorological service is realized, and the flexibility of electric power distribution network meteorological monitoring, forecasting and early warning is improved.

Description

Technical Field

[0001] The present application relates to the technical field of meteorological monitoring and early warning, and particularly to a power distribution network meteorological disaster monitoring and early warning system and method. Background Art

[0002] Under the background of global warming, in recent years, meteorological disasters such as lightning, strong winds and heavy rains have occurred frequently. Lightning strikes are the main cause of power grid equipment failure tripping. Due to the characteristics of wide distribution, many devices and low reliability margin of the distribution network, when encountering meteorological disasters, especially when multiple disasters are intertwined under complex weather phenomena, it is easy to cause line failures at multiple points and over a large area. In addition, limited by the lack of high-precision meteorological disaster monitoring data and diagnostic model support, at present, the tripping faults caused by meteorological disasters mainly rely on manual line patrols to find, and auxiliary fault recording data, fault tripping information and user repair information are used to judge the specific fault tower position, which is not only time-consuming and laborious, with low efficiency, but also difficult to achieve efficient and accurate fault location and emergency repair. At present, new power modules are widely popularized, the structure and operation mode of the distribution network will be more complex, and the uncertain influencing factors during operation will also be more diverse. Multiple faults caused by meteorological disasters will make it difficult to ensure the continuous power supply capacity of the load and the safety and stability of system operation. Summary of the Invention

[0003] The purpose of the present application is to provide a power distribution network meteorological disaster monitoring and early warning system and method, which realizes customized power distribution network meteorological services and improves the flexibility of power distribution network meteorological monitoring, forecasting and early warning.

[0004] To achieve the above purpose, the present application provides the following solutions:

[0005] In the first aspect, the present application provides a power distribution network meteorological disaster monitoring and early warning system, and the power distribution network meteorological disaster monitoring and early warning system includes:

[0006] A data resource layer for collecting meteorological information and power grid information;

[0007] A technical support layer for generating customized power distribution network meteorological service products according to the meteorological information, the power grid information and a meteorological service product template; the meteorological service product template includes meteorological conditions customized by users, and the power distribution network meteorological service products are used to provide meteorological disaster warnings within the customized meteorological condition range for users.

[0008] Optionally, the technical support layer includes an MVC template engine, a GIS engine and a meteorological information subscription and configuration module;

[0009] The meteorological information subscription and configuration module includes a plurality of different meteorological service product templates;

[0010] The MVC template engine is used to generate corresponding customized power distribution network meteorological service products according to each of the meteorological service product templates;

[0011] The GIS engine is used to locate and display the meteorological information and grid information corresponding to each customized power distribution network meteorological service product on the web geographic information system map.

[0012] Optionally, in terms of locating and displaying the meteorological information and grid information corresponding to each customized power distribution network meteorological service product on the web geographic information system map, the GIS engine is specifically used for:

[0013] Presenting the meteorological information and grid information in different graphical marker forms on the web geographic information system map;

[0014] Displaying the time series diagram of multi-meteorological element information at any position point, and the time series diagram includes a streamline diagram and a bar chart.

[0015] Optionally, the technical support layer further includes an intelligent interpolation module, and the intelligent interpolation module uses the inverse distance weighted interpolation method to determine the meteorological actual situation or meteorological forecast value at each position point;

[0016] The formula of the inverse distance weighted interpolation method is expressed as:

[0017] where D(S 0 ) is the meteorological actual situation / forecast value output at position S 0 ; D(S i ) is the meteorological actual situation / meteorological forecast value obtained from the meteorological station / forecast grid at S i , S i is the i-th meteorological station / forecast grid; n is the number of meteorological stations / meteorological forecast grids within the set range around S 0 when calculating D(S 0 ); λ i is the weight of S i in the inverse distance weighted interpolation process;

[0018]

[0019] where p is a constant, and o i0 is the distance between S i and S 0 .

[0020] Optionally, the meteorological information includes meteorological information from meteorological automatic stations, radars, cloud-to-ground flashes, and intelligent grid forecasts; the grid information includes power pole data and geographical information data corresponding to the power pole data.

[0021] Optionally, the power distribution network meteorological disaster monitoring and early warning system further includes a meteorological application layer, which includes a human-computer interaction module, a map display module, and a customized release module;

[0022] The map display module is used to present meteorological information and power grid information in the form of a web geographic information system map, and provide an operation interface for the human-computer interaction module;

[0023] The human-computer interaction module is used for users to customize meteorological conditions through the operation interface, and generate corresponding meteorological service product templates within the customized range according to the meteorological conditions customized by the users; the operation interface is also used to provide users with real-time monitoring and forecast queries of various meteorological elements;

[0024] The customized release module is used to output corresponding meteorological service products according to the meteorological service product templates.

[0025] Optionally, the meteorological conditions include a special area for setting warning thresholds of various meteorological information, and the special area for setting warning thresholds of meteorological information includes a heavy precipitation customization area, a thunderstorm gale customization area, an air temperature customization area, a visibility customization area, a snowfall customization area, and a relative humidity customization area.

[0026] Optionally, the power distribution network meteorological disaster monitoring and early warning system further includes a system presentation layer;

[0027] The system presentation layer provides a display interface for users to access meteorological services of the power distribution network through a terminal, and the meteorological services of the power distribution network are meteorological services based on meteorological service products of the power distribution network.

[0028] Optionally, the system presentation layer includes a lightning monitoring theme section, a meteorological reality theme section, and an intelligent forecast theme section;

[0029] The lightning monitoring theme section is used to display radar echoes, lightning location, and storm tracking through a web geographic information system map, and is also used for lightning strike query;

[0030] The meteorological reality theme section is used to display meteorological reality through a web geographic information system map, and the meteorological reality is the reality of meteorological monitoring stations, and the meteorological reality includes wind, rain, air temperature, relative humidity, and visibility; the meteorological reality theme section is also used to query distribution lines and overlay the monitoring reality of the meteorological stations and push meteorological reality warning information customized by users; the meteorological reality warning information is meteorological reality information warning for situations that reach the customized meteorological conditions;

[0031] The intelligent forecast theme section is used to display meteorological grid forecasts through a web geographic information system map. The meteorological grid forecasts include wind, rain, temperature, relative humidity, and visibility. The intelligent forecast theme section is also used to query power distribution lines, overlay the meteorological grid forecasts, and push meteorological forecast warning information customized for users. The meteorological forecast warning information is a warning of meteorological forecast information for situations that meet the customized meteorological conditions. The intelligent forecast theme section is also used to predict and display the hourly weather trends of wind, rain, temperature, relative humidity, and visibility at any point on the web geographic information system map.

[0032] In a second aspect, the present application provides a method for monitoring and warning meteorological disasters in a power distribution network. The method for monitoring and warning meteorological disasters in a power distribution network includes:

[0033] Collect meteorological information and power grid information;

[0034] Generate a customized meteorological service product for the power distribution network according to the meteorological information, the power grid information, and a meteorological service product template. The meteorological service product template includes meteorological conditions customized by users. The meteorological service product for the power distribution network is used to provide meteorological disaster warnings within the range of the customized meteorological conditions for users.

[0035] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0036] The present application provides a system and method for monitoring and warning meteorological disasters in a power distribution network. A customized meteorological service product for the power distribution network is generated according to the meteorological information, the power grid information, and the meteorological service product template, realizing customized meteorological services for the power distribution network, improving the flexibility of meteorological monitoring, forecasting, and warning in the power distribution network, facilitating power distribution network users to determine the fault areas of power grid lines according to actual situations, and being beneficial to the rapid positioning and emergency repair of fault areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1 It is a schematic structural diagram of a system for monitoring and warning meteorological disasters in a power distribution network according to an embodiment of the present application.

[0039] Figure 2 It is a schematic diagram of the combination of PC - end sections in a system for monitoring and warning meteorological disasters in a power distribution network according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0041] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] The present application provides a power distribution network meteorological disaster monitoring and early warning system, as Figure 1 shown, the power distribution network meteorological disaster monitoring and early warning system includes:

[0043] A data resource layer for collecting meteorological information and power grid information.

[0044] A technical support layer for generating customized power distribution network meteorological service products according to the meteorological information, the power grid information, and the meteorological service product template; the meteorological service product template includes meteorological conditions customized by users, and the power distribution network meteorological service products are used to provide meteorological disaster warnings within the customized meteorological condition range for users.

[0045] The present application enables the rapid display and application of intelligent power distribution network monitoring and early warning meteorological service products according to the needs of system users through the server, further improving the operation efficiency of business personnel in the Fenghua Power Supply Department.

[0046] The power distribution network meteorological disaster monitoring and early warning system further includes corresponding standard specification systems, operation and maintenance management systems, quality assurance systems, and system security systems. Among them, the system security system further includes application security, data security, host security, network security, and management security.

[0047] A power distribution network meteorological disaster monitoring and early warning system of the present application is specifically a power distribution network meteorological disaster monitoring and early warning system based on big data. The data resource layer is a unified database platform for collecting big data (meteorological big data and power grid big data), processing big data, providing functions of data exchange and sharing, and at the same time providing underlying support for providing data services such as querying and statistics.

[0048] The meteorological information (meteorological big data) collected by the data resource layer is deeply integrated with the power grid information (power grid big data).

[0049] In an exemplary embodiment, the technical support layer includes data processing and processing technologies such as an MVC (Model-View-Controller, model, view, and controller) template engine, a GIS (Geographic Information System) engine, a natural language translation engine, and a meteorological information subscription configuration module. Additionally, meteorological service product display technologies such as message push are adopted.

[0050] The meteorological information subscription configuration module includes a plurality of different meteorological service product templates. Specifically, the meteorological information subscription configuration module can perform personalized settings on meteorological big data by meteorological element category, meteorological element level, and high-impact weather category, and combine them according to different definition rules to form customized power distribution network meteorological service products.

[0051] For example, when a user customizes strong precipitation warnings in the meteorological information subscription configuration module as yellow meteorological information warnings for 1-hour precipitation ≥ 20 mm, orange meteorological information warnings for 1-hour precipitation ≥ 30 mm, and red meteorological information warnings for 1-hour precipitation ≥ 50 mm, the system quickly calculates and judges every 10 minutes whether the 1-hour precipitation data at the current time point is within the customized range. If so, it activates the MVC template engine module to quickly extract relevant meteorological data such as the precipitation and station information of stations with 1-hour precipitation ≥ 20 mm at the current time point, and adds them to the corresponding strong precipitation warning template to quickly generate a strong precipitation power distribution network meteorological service product. When the 1-hour strong precipitation level gradually upgrades to a higher level, the strong precipitation warning is immediately upgraded.

[0052] The MVC template engine is used to generate corresponding customized power distribution network meteorological service products according to each meteorological service product template. More specifically, the MVC template engine can efficiently call the meteorological element subscription configuration module to quickly generate corresponding customized power distribution network meteorological service products.

[0053] For example, when a user customizes the push of meteorological information related to visibility, the MVC template engine module quickly extracts the visibility station data within the customized range in the current period and adds them to the corresponding visibility warning template to present the power distribution network meteorological service product related to visibility.

[0054] The GIS engine is used to locate and display the meteorological information and power grid information corresponding to each customized power distribution network meteorological service product on a Web Geographic Information System (WEBGIS) map.

[0055] The GIS engine can accurately locate and display meteorological information and power pole information on the WEB GIS map according to their respective longitude and latitude. For example, if a user customizes the push of meteorological information related to low temperature, the GIS engine quickly obtains relevant meteorological data such as the low temperature site values and their corresponding site information within the customized range during the current period, and locates and overlays them on the WEB GIS map according to the longitude and latitude of the sites. At the same time, the pole positions are also synchronously overlaid and displayed together with the meteorological stations on the WEB GIS map.

[0056] The natural language translation engine can reasonably convert the abstract general situation of meteorological information and power grid information into smooth and easy-to-understand popular language. For example, if a user customizes the push of meteorological information related to typhoons, the natural language translation engine module converts relevant meteorological data such as typhoon message information into easy-to-understand expressions according to the logical habits of the public, such as the typhoon is currently located in a specific place name and will move in a specific direction at a specific speed in the future.

[0057] The natural language translation engine adopts natural language generation technology based on predefined rules and templates, aiming to achieve a more flexible and easier-to-understand language output effect. The core of the natural language translation engine lies in the application of predefined grammar rules, template matching mechanisms, and multi-dimensional text conversion strategies, so as to ensure that the generated natural language text has higher readability and expression accuracy while maintaining grammatical correctness.

[0058] Through technologies such as the MVC template engine, GIS geographic information engine, natural language translation engine, and meteorological information subscription configuration, this application can not only improve the generation efficiency of power distribution network meteorological service products, but also accurately locate and display on the WEB GIS map the areas of meteorological events and pole failures. Moreover, the power distribution network meteorological service products can present detailed specific meteorological service content in the form of pictures, texts, and charts.

[0059] In an exemplary embodiment, in terms of locating and displaying the meteorological information and power grid information corresponding to each customized power distribution network meteorological service product on the web geographic information system map, the GIS engine is specifically used for: displaying the meteorological information and power grid information on the web geographic information system map in different graphical marking forms; displaying the time series diagram of multi-meteorological element information at any position point, and the time series diagram includes a streamline diagram and a bar chart.

[0060] The technical support layer of this application uses meteorological big data processing and processing technologies such as intelligent interpolation, GI meteorological product processing, WEB GIS map, SVG vector graphics, and Chart graphics to display power distribution network meteorological service products.

[0061] In an exemplary embodiment, the technical support layer further includes an intelligent interpolation module, and the intelligent interpolation module uses the inverse distance weighted interpolation method to determine the meteorological actual situation or meteorological forecast value at each position point.

[0062] The formula of the inverse distance weighted interpolation method is expressed as:

[0063] Where D(S 0 ) is the meteorological actual situation / forecast value output at position S 0 ; D(S i ) is the meteorological actual situation / meteorological forecast value obtained from the meteorological station / forecast grid at S i , S i is the i-th meteorological station / forecast grid; n is the number of meteorological stations / meteorological forecast grids within a set range around S 0 when calculating D(S 0 ); λ i is the weight of S i in the inverse distance weighted interpolation process. λ i decreases as the distance between S i and S 0 increases.

[0064]

[0065] Where p is a constant, p generally takes 2, and o i0 is the distance between S i and S 0 . Through the inverse distance weighted interpolation calculation, the discrete meteorological monitoring elements (such as wind, precipitation, and temperature, etc.) in the target area can be presented in a map with a grid-based spatio-temporal distribution, and the meteorological forecast elements (such as wind, precipitation, and temperature, etc.) of the grid can be presented in a time series of discrete arbitrary points, etc. For example, for a power meteorological service product customized by a power distribution network user for real-time warning of relative humidity elements, the intelligent interpolation module interpolates the site data of the current relative humidity actual situation sites of meteorological stations into grid data, so as to obtain a filled-color map of the spatial distribution of the actual meteorological elements of relative humidity; for a power meteorological service product customized by a power distribution network user for pre-warning of snowfall element reports, the intelligent interpolation module interpolates the snowfall forecasts of future intelligent grid points into discrete arbitrary point forecast data, so as to obtain a time series map of the snowfall meteorological element forecasts at arbitrary points.

[0066] In addition, the GI meteorological product processing module can parse and read the intelligent grid meteorological forecast data. The WEBGIS map and SVG vector graphics module can display the "meteorological + electricity" data in a high-definition map with the boundaries of each region, and the map can be zoomed in and out for corresponding operations. The Chart module can not only display meteorological data and power tower data in the interactive map in the form of different graphic marks, which can be highlighted and dynamically flashed, but also quickly parse and friendly display the streamline diagram and bar chart in the time series diagram of multi-meteorological element forecast information at any point in the WEBGIS map, for relevant viewing and application by power distribution network users.

[0067] The meteorological information includes meteorological information from automatic meteorological stations, radars, ground lightning and intelligent grid forecasts; the power grid information includes power pole tower data and geographic information data corresponding to the power pole tower data.

[0068] The automatic meteorological stations are national stations and regional automatic stations. The meteorological information of the automatic meteorological stations includes 5-minute wind speed, wind direction and rain, hourly temperature, relative humidity, visibility and snowfall, as well as 1-hour maximum wind speed, wind direction and accumulated precipitation.

[0069] The meteorological information of ground lightning is the detection data of the lightning locator in the past 2 hours, with a time resolution of milliseconds and a spatial resolution of 300 meters.

[0070] The meteorological information forecasted by the smart grid includes the maximum wind speed and direction and rain in one hour, the temperature, relative humidity and snowfall at the hour, etc.

[0071] The power tower data includes the geographic information of nearly 10,000 tower locations managed by a power supply station (such as Fenghua Power Supply Station) within a specified range and the abbreviation information of the corresponding towers.

[0072] In an exemplary embodiment, the power distribution network meteorological disaster monitoring and early warning system also includes a meteorological application layer, and the meteorological application layer includes a human-computer interaction module, a map display module and a customized publishing module.

[0073] The map display module is used to present meteorological information and power grid information in the form of a network geographic information system map (WEBGIS), and provides an operation interface for the human-computer interaction module, so that users can perform related operations in the WEBGIS.

[0074] The human-computer interaction module is used for users to customize meteorological conditions through the operation interface, generate corresponding meteorological service product templates within the customized range according to the meteorological conditions customized by users, and is also used to consult rich power distribution network meteorological monitoring, forecasting and early warning information in the system. The operation interface is also used to provide users with real-time monitoring and forecast query of various meteorological elements, realizing the personalized customization operation of power distribution network users on the system, so that the system can perform corresponding configurations to obtain more efficient use.

[0075] The customization and release module is used to output corresponding meteorological service products according to the meteorological service product templates, and release and display specific customized power distribution network meteorological service products to users.

[0076] In an exemplary embodiment, the meteorological conditions customized by the power distribution network users are meteorological disasters caused by meteorological elements that can harm the production operations of the power distribution network users, mainly including high-impact weather such as lightning, strong wind and heavy rain, as well as short-term approaching impact weather under general weather conditions, etc.

[0077] The meteorological conditions include a special area for setting warning thresholds of various meteorological information, and the special area for setting warning thresholds of meteorological information includes a heavy precipitation customization area, a thunderstorm with strong wind customization area, an air temperature customization area, a visibility customization area, a snowfall customization area and a relative humidity customization area.

[0078] The heavy precipitation customization area includes: 1) precipitation ≥ X 1 mm / h or precipitation ≥ X 2 mm / 2h (yellow warning), 2) precipitation ≥ X 3 mm / h or precipitation ≥ X 4 mm / 3h (orange warning / red warning).

[0079] The thunderstorm with strong wind customization area includes: 1) X 5 level ≤ maximum hourly wind speed ≤ X 6 level (yellow warning / orange warning), 2) maximum hourly wind speed ≥ X 7 level (red warning).

[0080] The air temperature customization area includes: air temperature ≤ X 8 °C or air temperature ≥ X 9 °C (orange warning / red warning).

[0081] The visibility customization area includes: 1) X 10 m ≤ visibility ≤ X 11 m (yellow warning / orange warning), 2) "visibility < X 12 m" (red warning).

[0082] The snowfall customization area includes: 1) X13 Centimeter ≤ snow depth ≤ X 14 centimeters (blue alarm), 2) X 15 centimeters < snow depth ≤ X 16 centimeters (yellow alarm / orange alarm), 3) snow depth > X 17 centimeters” (red alarm).

[0083] The relative humidity customization area includes: relative humidity ≥ X 18 meters (yellow alarm / orange alarm).

[0084] Among them, X i is the value specified by the user, which are respectively the set thresholds, 1 ≤ i ≤ 18.

[0085] In an exemplary embodiment, the power distribution network meteorological disaster monitoring and early warning system further includes a system presentation layer.

[0086] The system presentation layer provides a display interface for users to access meteorological services of the power distribution network through a terminal, and the meteorological services of the power distribution network are meteorological services based on meteorological service products of the power distribution network.

[0087] The system of this application is mainly developed based on the PC - end platform, with a B / S architecture as the main, and the data collection and message push adopt the C / S architecture mode.

[0088] The system presentation layer, that is, the system interface of the PC - end, includes three major theme sections: the lightning monitoring theme section, the meteorological actuality theme section, and the intelligent forecast theme section, for the application of power distribution network users, as Figure 2 shown.

[0089] The three major theme sections are arranged in sequence on the PC - end main interface, and can be switched to display different theme section interfaces and contents. Then, corresponding sub - sections are made for each theme section and the meteorological service information of the power distribution network of these sub - sections is enriched.

[0090] The lightning monitoring theme section is used to display radar echoes, lightning location, and storm tracking through a web geographic information system map, and is also used to display relevant meteorological information such as lightning strike queries.

[0091] The meteorological actuality theme section is used to display the monitoring actuality of meteorological stations through a web geographic information system map. The meteorological actuality includes meteorological elements such as wind, rain, temperature, relative humidity, and visibility; the meteorological actuality theme section is also used to query distribution lines and overlay the meteorological actuality, as well as push meteorological actuality alarm information customized by users; the meteorological actuality alarm information is an alarm for meteorological actuality information in the case of reaching the customized meteorological element threshold range (meteorological conditions).

[0092] The intelligent forecasting theme section is used to display meteorological grid forecasts through a web geographic information system (WebGIS) map. The intelligent forecasting includes meteorological elements such as wind, rain, temperature, relative humidity, and visibility. The intelligent forecasting theme section is also used to query power distribution lines, overlay the intelligent forecasting, and push meteorological forecast warning information customized by users. The meteorological forecast warning information is a warning of meteorological forecast information for situations that reach the customized threshold range of meteorological elements. Additionally, the intelligent forecasting theme section is also used to predict and display the hourly weather trends of meteorological elements such as wind, rain, temperature, relative humidity, and visibility at any point on the WebGIS map.

[0093] The construction of the specification, operation and maintenance, quality assurance, and security systems of the system in this application runs through all levels of the system and all stages of system construction. It mainly comprehensively ensures the security and reliability of meteorological data from aspects such as specification security, network security, data security, and application security, and also ensures the timeliness, accuracy, and fluency of user use.

[0094] This application provides a WEBGIS map interaction application for real-time forecasting and warning of "meteorology + power" big data, and can send the user-customized power distribution network meteorological service products to the PC side in the first time. Users can perform relevant operations through the meteorological application layer and the system presentation layer to generate and use personalized customized power distribution network meteorological service products.

[0095] The system server of this application quickly generates specific power distribution network meteorological service products according to the customized needs of users and sends them to the PC side. The working steps are as follows.

[0096] Step 1: Perform big data analysis on meteorological conditions within the scope of the power distribution network user customization content based on "meteorology + power" big data.

[0097] Step 2: If the analyzed meteorological information is within the customized scope, collect all relevant meteorological information and establish a corresponding template library for power distribution network meteorological service products. The template library for power distribution network meteorological service products includes all template of power distribution network meteorological service products related to user customization.

[0098] Step 3: After collection, use technologies such as intelligent interpolation, MVC, GIS, and natural language translation to comprehensively integrate all meteorological element information and power grid information into the corresponding templates within the specified time.

[0099] Step 4: The template content within the customized scope after integration quickly forms specific power distribution network meteorological service products, which are sent to the PC side in the first time, and users can perform relevant operations to use these meteorological service products.

[0100] Step 5: The power distribution network meteorological disaster monitoring and early warning system of this application presents rich relevant meteorological service contents in different specific sections of the PC side, and can also be comprehensively used by users.

[0101] In an exemplary embodiment, according to the production scheduling requirements of a certain power supply company (such as Fenghua Power Supply Company), an influential weather trigger condition library (content of the warning threshold setting special zone) and an influential weather customized meteorological service template library related to power distribution network meteorological services are designed. The influential weather trigger condition library includes combinations of different meteorological conditions customized by users.

[0102] For the influential weather customized meteorological service template library, for example, the customized meteorological service template library for precipitation weather is precipitation warning time + precipitation warning overview + rainfall ranking statistics of the top ten precipitation stations and relevant meteorological warning signals affected by precipitation, etc.; the customized meteorological service template library for strong wind weather is strong wind warning time + strong wind warning overview + wind force ranking statistics of the top ten strong wind stations and relevant meteorological warning signals affected by strong wind; the warning overview information is such as "XX mm of heavy precipitation / XX - level strong wind / XX m of low visibility weather / XX °C of high or low temperature weather / XX cm of snow accumulation / XX% of high relative humidity has occurred at XX station in XX township / street. Please pay attention to / closely pay attention to / note the tower operation safety of XX and XX lines"; the warning forecast overview information is such as "It is expected that in the next 24 hours, XX mm of heavy precipitation / XX - level strong wind / XX m of low visibility weather / XX °C of high or low temperature weather / XX cm of snow accumulation / XX% of high relative humidity will occur in XX township / street. Please pay attention to / closely pay attention to / note the tower operation safety of XX and XX lines". Among them, the yellow warning is "Please pay attention", the orange warning is "Please closely pay attention", and the red warning is "Please note".

[0103] According to the weather trigger condition library and the service template library, through technical means such as intelligent interpolation algorithms, template engines, and information extraction, receive weather actual data, forecast and early warning and other information in a certain meteorological database (such as the Zhejiang Meteorological Database), and combine the big data of power towers and their geographical information related to the power distribution network. Generate corresponding customized power distribution network meteorological service products quickly within a specified short time, and deliver and display these meteorological service products to power distribution network users quickly through the PC - side message push method.

[0104] This application provides red, orange, and yellow three-level early warnings for approaching lightning, the real-time position of thunderstorm clouds, and their future movement trajectories. For example, taking a user of a certain power bureau (such as a user of Fenghua Power Bureau) as the central point, red, orange, and yellow three-level early warning circles with distances of 10 km, 30 km, and 60 km from the central point are set from the inside out. Among them, the range within 30 - 60 km from the user represents the attention area, the range within 10 - 30 km represents the warning area, and the range within 10 km represents the local area. According to the distance and azimuth calculated from the longitude and latitude information of lightning location and the longitude and latitude information of the central point, the highest-level lightning and its azimuth are warned accordingly. On the thumbnail display page of the "Lightning Monitoring" section, on August 27, 2024, there was lightning activity in the local area of a certain power (such as Fenghua Power) and the highest red warning was issued, and the nearest lightning azimuth was displayed. In the WEBGIS map on the details page of the "Lightning Monitoring" section, radar echoes, storm tracking trend arrows, and pole tower position marking information of the corresponding area are superimposed. For organized systematic severe convective weather, a local power supply station (such as the Fenghua local power supply station) can refer to the lightning early warning information and storm tracking information provided by the system to accurately allocate on-duty personnel, and accelerate the emergency response speed. Taking July 30, 2022 as an example, on that afternoon, a certain area (such as the Fenghua area) was affected by the outer circulation of Typhoon "Sunda" and the offshore tropical disturbance system. Scattered convective clouds appeared in some areas. During this process, the movement of the clouds was relatively slow and there was a tendency to move from east to west. In addition to accurately providing the actual lightning flash distribution and lightning classification early warning information, the system also better gave the accurate position and movement trend of the severe convective clouds, providing a decision-making basis for a certain power distribution department (such as the Fenghua power distribution department) to pay attention to the development of severe convective weather and reasonably dispatch the on-duty team to accelerate the emergency response speed.

[0105] This application provides real-time ground flash position data of a lightning locator, superimposes the longitude and latitude information of transmission line towers, and establishes a lightning strike query module. The function of this lightning strike query module can query the real-time ground flash information near the transmission line. Enter the line number (such as CH, FD, and JK, etc.) in the "Lightning Strike Query" sub-module on the details page of the "Lightning Monitoring" section, select the time point (the time point of the line fault record) and the time range, and click the query button. Then, the ground flashes that occur near the transmission line can be displayed in the form of a pop-up window. By calculating the distances between the above-mentioned ground flashes and all the substation towers on the transmission line, the substation tower numbers with distances from the ground flash of 0≤d≤500 meters, 500<d≤1000 meters, and 1000<d≤2000 meters are output in grades. Query the ground flash information near the line, and at the same time, superimpose the tower and ground flash point marking information on the WEBGIS map on the details page of the "Lightning Monitoring" section for accurate positioning and high-brightness flashing display, and it can be changed to the high-brightness flashing display corresponding to the selected line number in the map as the line number in the pop-up window changes. The power distribution network meteorological service product of "Lightning Strike Query" can, for a certain power distribution network user (such as a Fenghua power distribution network user), locate the specific tower position where a fault may occur in the first time after a line fault, facilitating the user to quickly check for faulty towers in the tripped line, shortening the power supply fault time, providing informatization support for lightning protection and disaster reduction operations, minimizing lightning disaster losses to the greatest extent. According to statistics, this product reduces the lightning strike fault line inspection time from the previous 1.27 hours to 22 minutes, improving the efficiency of fault troubleshooting.

[0106] Taking the severe convective weather in the afternoon of August 16, 2022 as an example, at 16:51:06 on that day, a 35kV line of a power supply station was powered off due to a lightning strike. The on-duty personnel of a certain power department (such as the Fenghua power department) immediately queried the nearby ground flashes during the fault period through the power distribution network meteorological disaster monitoring and early warning system, and accurately matched the 122nd tower on the fault line as the nearest tower. After relevant personnel verified and confirmed that the tower was struck by lightning and the second-stage overcurrent protection action occurred, the switch tripped. Subsequently, manual operation for reclosing was successful, and the line resumed power supply immediately.

[0107] Through the preference customization of power distribution network users in the warning threshold setting area of high-impact meteorological elements, when severe weather within the customized range occurs, the system automatically collects meteorological information within the customized range from the impact weather trigger condition library and quickly transfers it to the corresponding impact weather customized meteorological service template library for statistical collation. It quickly generates customized power distribution network meteorological service warning products and sends them to the PC side for display to users. Users can also set reminders for the warnings to continue monitoring reminders or stop reminding within the customized hours if there is no stronger weather, so as to avoid users receiving overly frequent warnings. On August 27, 2024, in a certain power area (such as the Fenghua power area), heavy precipitation occurred, generating the highest red warning and displaying the maximum rainfall intensity information and progressive warnings by level. The distribution of heavy precipitation areas, the maximum precipitation stations and magnitudes are displayed in the WEBGIS map. In addition, if there are warnings for other meteorological elements, their respective color warning information can be switched and viewed. Power distribution network users can understand the spatio-temporal distribution of real-time meteorological elements through the "Meteorological Reality" section. At the same time, when the meteorological elements of a station within the Fenghua area reach the warning threshold, the distribution equipment points such as poles and towers within a radius of 3 km around the station are highlighted and flashed in different grading colors such as red, orange, and yellow (taking the color of the highest warning level of each meteorological element), providing immediate guarantee for the power distribution network department in the Fenghua area to quickly understand severe disaster weather and improve the ability to prevent and respond.

[0108] A power distribution network meteorological disaster monitoring and early warning system provides intelligent grid forecast services for multiple meteorological elements in the whole region. In the detail page of the "Intelligent Forecast" section, grid forecasts for multiple meteorological elements such as wind, rain, temperature, and relative humidity in the next 24 hours can be queried. The forecast information is displayed in the WEBGIS map on the detail page. At the same time, the forecast information is presented in a grid-like spatial distribution in the form of coloring corresponding to the magnitudes of the elements. The tower position marker information is superimposed on the WEBGIS map to jointly display the meteorological forecast map. And the tower position markers highlight the highest warning level that will reach the warning threshold according to the forecast data of multiple meteorological elements at a certain future time point in different warning grading colors such as red, orange, and yellow, reminding power distribution network users to closely pay attention to the future dynamics of high-color towers.

[0109] A power distribution network meteorological disaster monitoring and early warning system provides the forecast time series and warning forecasts of multiple meteorological elements at any point of interest. On the details page of the "Intelligent Forecast" section, there is a movable blue small point button. Power distribution network users can interact with the system's PC terminal to drag this button to any point of interest, and calculate the forecast values of each meteorological element at this arbitrary point of interest according to the intelligent interpolation algorithm. When the power distribution network user drags the blue small point button to an arbitrary point of interest, a forecast time series graph of multiple meteorological elements such as wind, rain, temperature, and relative humidity for the next 24 hours will be displayed below the details page. If any meteorological element at this arbitrary point of interest reaches the warning threshold at a certain time within the next 24 hours, the column background at that time will display the color corresponding to the highest warning level of each meteorological element. In the thumbnail display page of the "Intelligent Forecast" section, when the blue small point button is dragged to the point of interest in the graph, a forecast time series graph of meteorological elements such as wind, precipitation, temperature, and humidity for the next 24 hours will be displayed below. Each element is represented by a different color for distinction, and the column background at 16:00 on August 27, 2024, shows yellow to prompt users that a high-temperature yellow warning will occur at that time. The "Intelligent Forecast" section provides refined meteorological forecast service information support for front-line power distribution network operators to deploy power facility maintenance and repair operations in advance.

[0110] Combining the above-mentioned sections of content that seemingly independent but are intricately related to each other, a power distribution network meteorological disaster monitoring and early warning system based on big data is formed. Placing this system on the PC terminal facilitates power distribution network users to quickly and conveniently grasp the latest meteorological dynamics of the power distribution network.

[0111] The technical effects of this application are as follows:

[0112] 1. Based on the "meteorology + power" big data platform, through technologies such as intelligent interpolation, template engine, and information extraction, it automatically collects relevant meteorological data such as meteorological conditions and forecast and early warning information, and combines it with the big data of relevant power grid information provided by a power supply department (such as Fenghua Power Supply Department). According to the production scheduling requirements of a power supply company (such as Fenghua Power Supply Company), it can display different meteorological elements and meteorological monitoring, forecast and early warning information in the form of text, charts, etc. for power distribution network users to freely and flexibly select through a map. And through the user's subscription settings, combined with relevant pole and line information, it quickly locates to the possible power grid line fault areas, and timely pushes and displays the rich and customized power distribution network meteorological service products to power distribution network users through the PC channel. The system interface realizes UI design, which is not only easy to operate but also powerful in function, making weather monitoring and forecast and early warning tools more convenient and practical. Users can quickly and directly grasp the latest power distribution network meteorological dynamics at the first time, greatly improving the timeliness, accuracy, and efficiency of the meteorological monitoring, forecast, and early warning services for the power distribution network, thus generating more considerable economic and social benefits and realizing the digital innovation of the deep integration of "meteorology + power".

[0113] 2. The power distribution network meteorological disaster monitoring and early warning system of this application is loaded on the PC side, integrates the defined classification sections and enriches the content of each section. All sections complement each other and form an integrated application system that can automatically generate power distribution network meteorological service products. It generates specific power distribution network meteorological service functions for different personalized power distribution network meteorological information customization, mainly capable of realizing integrated release of lightning warnings, carousel of customized alarm sets, centralized display of comprehensive monitoring, intensive use of forecast tools, collective positioning of lightning-struck lines, and aggregation and assistance of intelligent meteorology, etc. This system can effectively improve the lightning monitoring and early warning ability, provide data support for power distribution network users to understand the current spatio-temporal distribution and future development trend of meteorological disasters in real time, and at the same time serve all aspects such as power distribution network dispatching, operation, maintenance, and infrastructure construction, provide decision-making basis for power dispatching and facility operation and maintenance, facilitate reasonable emergency handling by each department, improve decision-making quality, shorten power supply fault time, minimize lightning disaster losses to the greatest extent, enhance the operation and maintenance level of the power system, ensure power supply to residents, increase direct economic benefits, not only contribute to ensuring social public safety, but also improve the satisfaction of people's lives, and provide the most professional power meteorological support for professional power distribution network business personnel. The power distribution network meteorological service products generated by this system can not only conveniently support power meteorological services, but also be used and promoted independently, making the functions of power meteorological services more powerful and the fields of power meteorological services wider. The operability, expandability, and promotability of the system are also one of the key technologies original to this invention.

[0114] Based on the same inventive concept, an embodiment of the present application further provides a method for monitoring and warning of meteorological disasters in a power distribution network for implementing the above-mentioned power distribution network meteorological disaster monitoring and warning system. The solution provided by this method for solving the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the method for monitoring and warning of meteorological disasters in a power distribution network provided below can refer to the limitations on the power distribution network meteorological disaster monitoring and warning system in the above text, and will not be repeated here.

[0115] In an exemplary embodiment, a method for monitoring and warning of meteorological disasters in a power distribution network is provided. The method for monitoring and warning of meteorological disasters in a power distribution network includes step 101-step 102.

[0116] Step 101: Collect meteorological information and power grid information.

[0117] Step 102: Generate a customized power distribution network meteorological service product according to the meteorological information, the power grid information and the meteorological service product template; the meteorological service product template includes meteorological conditions customized by users, and the power distribution network meteorological service product is used to provide meteorological disaster warnings within the customized meteorological condition range for users.

[0118] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as these combinations of technical features do not conflict, they should be considered as the scope described in this specification.

[0119] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A power distribution network meteorological disaster monitoring and early warning system, characterized in that: The power distribution network meteorological disaster monitoring and early warning system includes: Data resource layer, used to collect meteorological information and power grid information; The technical support layer is used to generate a customized power distribution network meteorological service product based on the meteorological information, the power grid information and the meteorological service product template; the meteorological service product template includes user-customized meteorological conditions, and the power distribution network meteorological service product is used to provide users with meteorological disaster warnings within the customized meteorological conditions.

2. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The technical support layer includes an MVC template engine, a GIS engine and a meteorological information subscription configuration module; The meteorological information subscription configuration module includes a plurality of different meteorological service product templates; The MVC template engine is used to generate corresponding customized power distribution network meteorological service products according to each meteorological service product template; The GIS engine is used to locate the meteorological information and power grid information corresponding to each customized power distribution network meteorological service product and display them on the network geographic information system map.

3. The power distribution network meteorological disaster monitoring and early warning system according to claim 2 is characterized in that: In terms of locating and displaying the meteorological information and power grid information corresponding to each customized power distribution network meteorological service product on a network geographic information system map, the GIS engine is specifically used to: Display weather information and power grid information in the form of different graphic marks on the network geographic information system map; A time series diagram of multiple meteorological element information at any location point is displayed, wherein the time series diagram includes a streamline diagram and a bar diagram.

4. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The technical support layer also includes an intelligent interpolation module, which uses an inverse distance weighted interpolation method to determine the actual weather conditions or weather forecast values ​​of each location point; The formula of the inverse distance weighted interpolation method is expressed as: Where D(S0) is the actual / forecast value of the weather at position S0; D(S i ) is S i The actual weather conditions / weather forecast values ​​obtained at the weather station / forecast grid point, S i is the ith meteorological station / forecast grid point; n is the number of meteorological stations / meteorological forecast grid points within the set range around S0 when calculating D(S0) in the inverse distance weighted interpolation process; λ i S is the inverse distance weighted interpolation process i The weight of Among them, p is a constant, o i0 For S i The distance from S0.

5. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The meteorological information includes meteorological information from automatic meteorological stations, radars, ground lightning and intelligent grid forecasts; the power grid information includes power pole tower data and geographic information data corresponding to the power pole tower data.

6. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The power distribution network meteorological disaster monitoring and early warning system also includes a meteorological application layer, which includes a human-computer interaction module, a map display module and a customized publishing module; The map display module is used to present meteorological information and power grid information in the form of a network geographic information system map, and provide an operation interface for the human-computer interaction module; The human-computer interaction module is used for users to customize meteorological conditions through the operation interface, and to generate corresponding meteorological service product templates within the customization range according to the meteorological conditions customized by the users; the operation interface is also used to provide users with real-time monitoring and forecast query of various meteorological elements; The customized publishing module is used to output corresponding meteorological service products according to the meteorological service product template.

7. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The meteorological conditions include a variety of meteorological information alarm threshold setting areas, and the meteorological information alarm threshold setting areas include a heavy precipitation customization area, a thunderstorm and gale customization area, a temperature customization area, a visibility customization area, a snowfall customization area and a relative humidity customization area.

8. The power distribution network meteorological disaster monitoring and early warning system according to claim 1 is characterized in that: The power distribution network meteorological disaster monitoring and early warning system also includes a system presentation layer; The system presentation layer provides a display interface for users to access the meteorological service of the power distribution network through a terminal. The meteorological service of the power distribution network is a meteorological service based on a meteorological service product of the power distribution network.

9. The power distribution network meteorological disaster monitoring and early warning system according to claim 8, characterized in that: The system presentation layer includes a lightning monitoring theme section, a weather live theme section, and an intelligent forecast theme section; The lightning monitoring theme section is used to display radar echoes, lightning location and storm tracking through a network geographic information system map, and is also used to conduct lightning strike inquiries; The live weather theme section is used to display the live weather conditions through the network geographic information system map. The live weather conditions are the live conditions of the weather monitoring station, and the live weather conditions include wind, rain, temperature, relative humidity and visibility. The live weather theme section is also used to query the distribution line and superimpose the live monitoring conditions of the weather station and push the user-customized live weather warning information. The live weather warning information is a live weather information warning for the situation where the customized weather conditions are met. The smart forecast theme section is used to display the weather grid forecast through the network geographic information system map, and the weather grid forecast includes wind, rain, temperature, relative humidity and visibility; the smart forecast theme section is also used to query the distribution line and superimpose the weather grid forecast and push the user customized weather forecast warning information; the weather forecast warning information is a weather forecast information warning for the situation where the customized meteorological conditions are met; the smart forecast theme section is also used to display the hourly weather trend forecast of wind, rain, temperature, relative humidity and visibility at any point in the network geographic information system map.

10. A method for monitoring and early warning of meteorological disasters in a power distribution network, characterized in that: The power distribution network meteorological disaster monitoring and early warning method comprises: Collect meteorological information and power grid information; A customized electric power distribution network meteorological service product is generated based on the meteorological information, the power grid information and the meteorological service product template; the meteorological service product template includes user-customized meteorological conditions, and the electric power distribution network meteorological service product is used to provide users with meteorological disaster warnings within the customized meteorological conditions.

Images