Array automatic station self-adaptive cooperative observation method

Abstract

The application discloses an array automatic station adaptive cooperative observation method, comprising the following steps: S1, acquiring meteorological information of a region to be measured, updating an online list of array automatic stations and setting an update flag; S2, setting initial array automatic station grid information matrix and station matching grouping matrix, inputting weather radar grid precipitation quantitative prediction products, and acquiring a station matching grouping matrix after redivision; S3, updating the station matching grouping matrix; S4, checking the grid point value of the precipitation quantitative prediction products corresponding to each grid point according to the grid information matrix; S5, judging whether the grid point value of the precipitation quantitative prediction products is greater than 0, and finding out all matching stations according to the position of the grid point in the grid information matrix through the station matching grouping matrix; otherwise, returning to S4; S6, sending commands to all the found matching stations through a 5G network according to a preset strategy, and adjusting the collection frequency and the running state of all the found matching stations.

Description

Technical Field

[0001] This invention belongs to the field of intelligent meteorological observation technology, and in particular relates to an adaptive collaborative observation method for array automatic weather stations. Background Technology

[0002] Traditional automatic weather stations are built as individual stations, distributed point by point. Each station is typically equipped with one or more sensors for wind direction, wind speed, rainfall, temperature, humidity, and air pressure. These sensors collect meteorological elements such as wind direction, wind speed, rainfall, temperature, humidity, and air pressure at a fixed frequency, and then generate observation reports through a data acquisition unit and upload them to a data center. Different degrees and types of weather processes affect varying ranges and have different rates of change in meteorological elements, leading to different meteorological observation needs under different conditions. For example, some large-scale, strong convective weather conditions have a wide impact and drastic changes in meteorological elements, requiring large-scale, high-frequency meteorological observations. Conversely, stable or weak convective weather conditions have different observation needs for different ranges and meteorological elements. Currently, because traditional sensors lack computing power and intelligent functions, traditional automatic stations can only collect meteorological elements at a fixed frequency and cannot adaptively adjust the collection frequency and operating status based on weather forecasts or actual weather conditions to meet the needs of meteorological observation and low-carbon green development. Therefore, there is an urgent need to propose an adaptive collaborative observation method for array automatic stations. Summary of the Invention

[0003] To address the aforementioned technical issues, this invention proposes an adaptive collaborative observation method for array automatic weather stations. Based on an intelligent meteorological measuring instrument, an adaptive array automatic weather station observation terminal is constructed. Combined with a weather radar grid precipitation quantitative forecast product, the array automatic weather stations are collaboratively scheduled through cloud-based algorithm software to achieve adaptive monitoring of meteorological element collection frequency and operating status.

[0004] To achieve the above objectives, the present invention provides an adaptive cooperative observation method for array autostations, comprising:

[0005] S1. Listen to the communication of the array automatic station to obtain meteorological information related to the area to be measured, update the array automatic station online list and set the update flag;

[0006] S2. Set the initial array automatic station grid information matrix and station matching group matrix, input the weather radar grid precipitation quantitative forecast product, and obtain the re-divided station matching group matrix;

[0007] S3. Based on the updated flag setting and the re-divided site matching group matrix, update the site matching group matrix;

[0008] S4. Check the grid point value of the quantitative precipitation forecast product corresponding to each grid point according to the grid information matrix;

[0009] S5. Based on the position of the grid points in the grid information matrix, find all matching stations through the station matching group matrix; if the grid point value of the quantitative precipitation forecast product is greater than 0 based on all the found matching stations, the array automatic station is in clear sky mode, then proceed to step S6; otherwise, if the array automatic station is not in clear sky mode, do not change the operating mode of the matching station; if the grid point value of the quantitative precipitation forecast product is not greater than 0 based on all the found matching stations, the array automatic station is in clear sky mode, then do not change the operating mode of the matching station; otherwise, if the array automatic station is not in clear sky mode, proceed to step S7.

[0010] S6. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to precipitation mode, and adjust the collection frequency to N times per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4.

[0011] S7. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to clear sky mode, and adjust the collection frequency to once per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4.

[0012] According to the adaptive collaborative observation method for array automatic stations provided by the present invention, the meteorological information includes longitude, latitude, altitude, station number, and element type.

[0013] According to the adaptive cooperative observation method for array automatic weather stations provided by the present invention, the method for monitoring the communication of array automatic weather stations to obtain meteorological information related to the area to be measured, updating the online list of the array automatic weather stations, and setting the update flag includes:

[0014] Based on 5G communication networks and the MQTT communication protocol, after the smart measuring instrument connects to the cloud MQTT server, it sets the topic of the server's broadcast messages and the message topic of the server for specific sites, and sends the meteorological information related to the message topic to the cloud software. After receiving a confirmation reply, the network access action is completed; otherwise, it applies to the cloud server for network access at specific time intervals. After network access, the cloud software determines whether the smart measuring instrument is online based on the heartbeat packets sent by the smart measuring instrument at regular intervals, and updates the online device list in real time. If an update occurs, the updated site is marked to the cloud software, and the update flag is set.

[0015] According to the adaptive collaborative observation method of array automatic weather stations provided by the present invention, the grid information matrix and the station matching grouping matrix are spatially matched with the quantitative precipitation forecast product.

[0016] According to the array autostation adaptive cooperative observation method provided by the present invention, the method for updating the station matching group matrix based on the updated flag setting and the re-divided station matching group matrix includes:

[0017] The updated station information is marked, the latitude and longitude information of the station is obtained, the station is checked against the grid according to the grid information matrix, the updated position of the grid point is obtained, and the corresponding station information list is obtained and updated through the re-divided station matching group matrix.

[0018] Technical effects of the invention: The invention discloses an adaptive collaborative observation method for array automatic stations. An adaptive array automatic station observation terminal is constructed based on an intelligent meteorological measuring instrument. Combined with a weather radar grid precipitation quantitative forecast product, the array automatic stations are collaboratively scheduled through cloud-based algorithm software to achieve adaptive meteorological element collection frequency and working status. Attached Figure Description

[0019] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 This is a flowchart illustrating the adaptive cooperative observation method of the array automatic station according to an embodiment of the present invention. Detailed Implementation

[0021] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0022] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0023] like Figure 1 As shown, this embodiment provides an adaptive cooperative observation method for automated station arrays, including:

[0024] S1. Monitor the communication of the array automatic stations to obtain meteorological information related to the area to be measured, update the array automatic station online list and set the update flag;

[0025] Specifically, based on the 5G communication network and MQTT communication protocol, after the intelligent surveying instrument connects to the cloud MQTT server, it subscribes to the server's broadcast message topic " / host / cmd" and the server's message topic for specific sites (format: / site name / feature name / ). Simultaneously, it sends network access metadata, including longitude, latitude, altitude, station number, and feature type, to the cloud software receiving the message topic. Upon receiving a confirmation reply, the network access process is complete; otherwise, it requests network access from the cloud server at specific time intervals. After network access, the cloud software determines whether the intelligent surveying instrument is online based on the heartbeat packets it periodically sends and updates the online device list in real time. If an update occurs, the cloud software marks the sites requiring updates and sets the update flag. Updates are divided into two categories: network access and offline.

[0026] S2. Set the initial array automatic station grid information matrix and station matching group matrix, input the weather radar grid precipitation quantitative forecast product, and obtain the re-divided station matching group matrix;

[0027] Specifically, based on the spatial resolution of QPF products in Guangdong Province, a two-dimensional grid with a horizontal resolution of 500×500 m (0.005×0.005°) was established, along with a grid information matrix. (N and M are the number of grid points in the horizontal and vertical directions, respectively), the elements in the matrix represent the latitude and longitude coordinates of each grid point as follows: Each grid point can represent the surrounding east-west direction. ±0.005°, North-South direction An array of automated ground stations within a range of ±0.005°. Assume the latitude and longitude coordinates of a certain automated ground station are... When the coordinates of the station Falling on grid coordinates ( ±0.005°, When the temperature is within ±0.005°, the station is considered to be within the grid point range. Spatial matching is consistent. A spatial correspondence is established between each array autostation and grid points, and a station matching grouping matrix is ​​created. Matrix elements Storage and Grid Matched array autostation information. This completes the meshing of the array autostations.

[0028] S3. Update the site matching group matrix based on the updated flag setting and the re-divided site matching group matrix;

[0029] Specifically, when the software identifies sites that require updating, it retrieves the site's latitude and longitude information. According to the grid information matrix The system checks the matching between the site and the grid. If a match is successful, the location of that grid point is retrieved. The position in the matrix, and through the matrix Retrieve and update the corresponding list of site information.

[0030] S4. Check the grid point values ​​of the quantitative precipitation forecast products corresponding to each grid point based on the grid information matrix;

[0031] S5. Based on the position of the grid points in the grid information matrix, find all matching stations through the station matching group matrix; based on all the matching stations found, if the grid point value of the quantitative precipitation forecast product is greater than 0, the array automatic station is in clear sky mode, then proceed to step S6; otherwise, if the array automatic station is not in clear sky mode, do not change the operating mode of the matching station; based on all the matching stations found, if the grid point value of the quantitative precipitation forecast product is not greater than 0, the array automatic station is in clear sky mode, then do not change the operating mode of the matching station; otherwise, if the array automatic station is not in clear sky mode, proceed to step S7.

[0032] S6. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to precipitation mode, and adjust the collection frequency to N times per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4.

[0033] S7. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to clear sky mode, and adjust the collection frequency to once per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4.

[0034] Specifically, the current temporal resolution of QPF products in Guangdong Province is 6 minutes, with QPF products generated every hour and every 6 minutes thereafter; the spatial resolution is 500×500m, and the QPF product range completely covers the deployment area of ​​the array of automatic weather stations; it can forecast cumulative precipitation within the next 6 minutes. Based on the temporal resolution of the QPF products, a strategy decision is made every hour and every 6 minutes thereafter as follows:

[0035] The array autostation initially operates in clear conditions, with a data acquisition frequency of 1 time per minute. After acquiring the latest QPF product, the value of the update flag determines whether the site matching group matrix needs to be updated. After the update is complete, obtain the QPF product grid value corresponding to each grid point. R jThe system determines whether precipitation will occur within the next 6 minutes. Under clear sky conditions, if precipitation is expected within the next 6 minutes, the station's data acquisition frequency is increased to N times / minute, and the system enters precipitation operation mode. If no precipitation is expected within the next 6 minutes, the station's data acquisition frequency remains at 1 time / minute, and the clear sky operation mode is maintained. Under precipitation operation mode, if precipitation is still expected within the next 6 minutes, the station's data acquisition frequency remains at N times / minute, and the precipitation operation mode is maintained. If no precipitation is expected within the next 6 minutes, the station's data acquisition frequency is decreased to 1 time / minute, and the precipitation operation mode is exited.

[0036] The above are merely preferred embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An adaptive cooperative observation method for array autostations, characterized in that, include: S1. Listen to the communication of the array automatic station to obtain meteorological information related to the area to be measured, update the array automatic station online list and set the update flag; S2. Set the initial array automatic station grid information matrix and station matching group matrix, input the weather radar grid precipitation quantitative forecast product, and obtain the re-divided station matching group matrix; S3. Based on the updated flag setting and the re-divided site matching group matrix, update the site matching group matrix; S4. Check the grid point value of the quantitative precipitation forecast product corresponding to each grid point according to the grid information matrix; S5. Based on the position of the grid points in the grid information matrix, find all matching stations through the station matching group matrix; if the grid point value of the quantitative precipitation forecast product is greater than 0 based on all the found matching stations, the array automatic station is in clear sky mode, then proceed to step S6; otherwise, if the array automatic station is not in clear sky mode, do not change the operating mode of the matching station; if the grid point value of the quantitative precipitation forecast product is not greater than 0 based on all the found matching stations, the array automatic station is in clear sky mode, then do not change the operating mode of the matching station; otherwise, if the array automatic station is not in clear sky mode, proceed to step S7. S6. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to precipitation mode, and adjust the collection frequency to N times per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4. S7. According to the preset strategy, send commands to all the matched sites found through the 5G network, adjust all the matched sites found to clear sky mode, and adjust the collection frequency to once per minute. If the traversal is completed, re-enter the weather radar grid precipitation quantitative forecast product; otherwise, return to S4.

2. The array autostation adaptive cooperative observation method as described in claim 1, characterized in that, The meteorological information includes longitude, latitude, altitude, station number, and element type.

3. The array autostation adaptive cooperative observation method as described in claim 1, characterized in that, The method for monitoring the communication of automatic weather stations to obtain meteorological information about the area to be measured, updating the online list of the automatic weather stations, and setting the update flag includes: Based on 5G communication networks and the MQTT communication protocol, after the smart measuring instrument connects to the cloud MQTT server, it sets the topic of the server's broadcast messages and the message topic of the server for specific sites, and sends the meteorological information related to the message topic to the cloud software. After receiving a confirmation reply, the network access action is completed; otherwise, it applies to the cloud server for network access at specific time intervals. After network access, the cloud software determines whether the smart measuring instrument is online based on the heartbeat packets sent by the smart measuring instrument at regular intervals, and updates the online device list in real time. If an update occurs, the updated site is marked to the cloud software, and the update flag is set.

4. The array autostation adaptive cooperative observation method as described in claim 1, characterized in that, The grid information matrix and the station matching group matrix are matched with the spatial matching of the quantitative precipitation forecast product.

5. The array autostation adaptive cooperative observation method as described in claim 1, characterized in that, The method for updating the site matching group matrix based on the updated flag setting and the re-divided site matching group matrix includes: The updated station information is marked, the latitude and longitude information of the station is obtained, the station is checked against the grid according to the grid information matrix, the updated position of the grid point is obtained, and the corresponding station information list is obtained and updated through the re-divided station matching group matrix.

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