Meteorological data transmission method and system of high-altitude balloon sonde

Abstract

The invention discloses a meteorological data transmission method and system of a high-altitude balloon sonde, and relates to the technical field of meteorological data transmission methods. The high-altitude balloon sonde collects multiple pieces of meteorological data in real time along a meteorological detection mode; and the corresponding meteorological dynamic graph is determined based on the plurality of meteorological data, the corresponding azimuth position and the surrounding environment image of the high-altitude balloon sonde, so that the accuracy of the meteorological dynamic graph is ensured. Therefore, a corresponding meteorological data packet is formed based on the meteorological dynamic graph and a plurality of corresponding meteorological data, and the first data transmission mode is determined according to the data volume of the meteorological data packet and the position of the high-altitude balloon sonde; and if yes, determining a second data transmission mode according to the abnormal factors of the abnormal nodes of the data transmission path and the to-be-transmitted data corresponding to the abnormal nodes, thereby improving the integrity and stability of meteorological data transmission of the air ball air detector.

Description

Technical Field

[0001] The present invention relates to the technical field of meteorological data transmission methods, and in particular to a meteorological data transmission method and system for a high-altitude balloon radiosonde. Background Art

[0002] With the development of technology, as a kind of meteorological detector, a high-altitude balloon radiosonde conducts meteorological detection externally. The high-altitude balloon radiosonde uses a high-altitude balloon as a carrier to bring the sounding instrument to high altitude for measuring atmospheric parameters, which usually include temperature, humidity, air pressure, wind speed, wind direction, etc., and is of great significance for fields such as weather forecasting, climate research, and aviation safety.

[0003] In the prior art, the high-altitude balloon radiosonde moves to a high-altitude position and conducts corresponding meteorological detection on the surrounding area to collect meteorological data in real time. At this time, the high-altitude balloon radiosonde transmits the meteorological data along a preset data transmission method, ignoring the influence of abnormal nodes in the data transmission path, resulting in a low integrity of the meteorological data transmission of the air balloon radiosonde. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and the present invention provides a meteorological data transmission method and system for a high-altitude balloon radiosonde.

[0005] An embodiment of the present invention provides a meteorological data transmission method for a high-altitude balloon radiosonde, including: collecting a plurality of environmental parameters at the surrounding position of the high-altitude balloon radiosonde; determining the environmental type where the high-altitude balloon radiosonde is located according to the plurality of environmental parameters, and determining the meteorological detection mode of the high-altitude balloon radiosonde based on the environmental type and the form of the high-altitude balloon radiosonde; the high-altitude balloon radiosonde collects a plurality of meteorological data in real time along the meteorological detection mode, and determines a corresponding meteorological dynamic map based on the plurality of meteorological data, the corresponding azimuth position, and the surrounding environment image of the high-altitude balloon radiosonde; forming a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding plurality of meteorological data, determining a first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and marking the data transmission path of the first data transmission method; if there is an abnormal state in the data transmission path, then determining a second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmitting the data to be transmitted along the second data transmission method.

[0006] An embodiment of the present invention provides a meteorological data transmission system for a high-altitude balloon radiosonde. The meteorological data transmission system for the high-altitude balloon radiosonde is applied to the above-mentioned meteorological data transmission method for the high-altitude balloon radiosonde. The meteorological data transmission system for the high-altitude balloon radiosonde includes: A collection module, configured to collect a plurality of environmental parameters at the surrounding positions of a high-altitude balloon radiosonde; A meteorological detection mode module, configured to determine the environmental type where the high-altitude balloon radiosonde is located according to the plurality of environmental parameters, and determine the meteorological detection mode of the high-altitude balloon radiosonde based on the environmental type and the form of the high-altitude balloon radiosonde; A meteorological dynamic map module, configured to collect a plurality of meteorological data in real time along the meteorological detection mode by the high-altitude balloon radiosonde, and determine a corresponding meteorological dynamic map based on the plurality of meteorological data, the corresponding azimuth positions, and the surrounding environmental images of the high-altitude balloon radiosonde; A first data transmission module, configured to form a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding plurality of meteorological data, determine a first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and mark the data transmission path of the first data transmission method; A second data transmission module, configured to, if there is an abnormal state in the data transmission path, determine a second data transmission method according to the abnormal factors of the abnormal nodes in the data transmission path and the data to be transmitted corresponding to the abnormal nodes, and synchronously transmit the data to be transmitted along the second data transmission method.

[0007] Compared with the prior art, the beneficial effects of the present invention are: In the embodiment of the present invention, through the method in the embodiment of the present invention, the meteorological detection mode of the high-altitude balloon radiosonde is determined based on the environmental type and the form of the high-altitude balloon radiosonde; the high-altitude balloon radiosonde collects a plurality of meteorological data in real time along the meteorological detection mode, and determines a corresponding meteorological dynamic map based on the plurality of meteorological data, the corresponding azimuth positions, and the surrounding environmental images of the high-altitude balloon radiosonde, which takes into account the overall consideration of the plurality of meteorological data, the corresponding azimuth positions, and the surrounding environmental images of the high-altitude balloon radiosonde, ensures the accuracy of the meteorological dynamic map, and dynamically controls the meteorological detection of the high-altitude balloon radiosonde.

[0008] Therefore, a corresponding meteorological data data packet is formed based on the meteorological dynamic map and the corresponding plurality of meteorological data, a first data transmission method is determined according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and the data transmission path of the first data transmission method is marked; if there is an abnormal state in the data transmission path, a second data transmission method is determined according to the abnormal factors of the abnormal nodes in the data transmission path and the data to be transmitted corresponding to the abnormal nodes, and the data to be transmitted is synchronously transmitted along the second data transmission method. The first data transmission method and the second data transmission method are introduced, and the data to be transmitted corresponding to the abnormal nodes is transmitted along the second data transmission method, which ensures the synchronous progress of the first data transmission method and the second data transmission method, and further improves the integrity and stability of the meteorological data transmission of the high-altitude balloon radiosonde. Description of the Drawings

[0009] Figure 1 It is a schematic flowchart of the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 2 It is a schematic flowchart of step S11 in the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 3 It is a schematic flowchart of step S12 in the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 4 It is a schematic flowchart of step S13 in the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 5 It is a schematic flowchart of step S14 in the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 6 It is a schematic flowchart of step S15 in the meteorological data transmission method of the high-altitude balloon sounding instrument in the embodiment of the present invention; Figure 7 It is a schematic diagram of the structural composition of the meteorological data transmission system of the high-altitude balloon sounding instrument in the embodiment of the present invention. Specific Embodiments

[0010] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0011] Please refer to Figures 1 to 7 , a meteorological data transmission method for a high-altitude balloon sounding instrument, which is applied to the meteorological data transmission scenario of the high-altitude balloon sounding instrument; the meteorological data transmission method of the high-altitude balloon sounding instrument includes: Step S11: Collect multiple environmental parameters at the surrounding positions of the high-altitude balloon sounding instrument; Step S12: Determine the environmental type where the high-altitude balloon sounding instrument is located according to the multiple environmental parameters, and determine the meteorological detection mode of the high-altitude balloon sounding instrument based on the environmental type and the form of the high-altitude balloon sounding instrument; Step S13: The high-altitude balloon sounding instrument collects multiple meteorological data in real time along the meteorological detection mode, and determines the corresponding meteorological dynamic map based on the multiple meteorological data, the corresponding azimuth positions, and the surrounding environment images of the high-altitude balloon sounding instrument; Step S14: Form a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding multiple meteorological data, determine the first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon sounding instrument, and mark the data transmission path of the first data transmission method; Step S15: if the data transmission path is in an abnormal state, determine a second data transmission mode according to the abnormal factors of the abnormal node of the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission mode; refer to Figure 2 , in step S11, collecting multiple environmental parameters of the surrounding position of the high-altitude balloon sonde; In the specific implementation process of the present invention, the specific steps are: S111: collecting the current position of the high-altitude balloon sonde, determining the surrounding position of the high-altitude balloon sonde according to the current position and shape of the high-altitude balloon sonde, and triggering corresponding environmental detection according to the surrounding position of the high-altitude balloon sonde; S112: In the environmental detection of the surrounding position of the high-altitude balloon sonde, corresponding detection directions are set along different directions of the high-altitude balloon sonde; S113: Determine corresponding environmental parameters according to the detection direction and the detection end of the high-altitude balloon sonde to determine multiple environmental parameters of the surrounding position of the high-altitude balloon sonde, and mark the positions of the multiple environmental parameters.

[0012] In the embodiments of the present application, the current position of the high-altitude balloon sonde is collected, relying on the Global Positioning System (GPS) or other similar positioning technologies; the GPS receiver installed on the high-altitude balloon sonde will continuously receive signals from satellites, and calculate the longitude, latitude and altitude (three-dimensional coordinates) of the sonde through these signals; at this time, the GPS receiver has a complex algorithm inside to process the received satellite signals, including time difference measurement, multipath effect correction, etc., and finally obtains accurate position information.

[0013] After obtaining the current position of the sonde, it is necessary to determine a reasonable surrounding position range based on its morphology (such as volume, shape, flight attitude, etc.); this usually involves the establishment of a geometric model, such as considering the sonde as a center point, and then delineating a spherical or ellipsoidal surrounding area based on its size and flight direction; magnetism, using mathematical formulas (such as the sphere equation) to calculate the range of the surrounding position; at the same time, the flight speed and direction of the sonde also need to be considered in order to more accurately predict its future position changes.

[0014] Once the range of the surrounding location is determined, the corresponding environmental detection program is triggered; this usually means starting various sensors on the sounding instrument to start collecting environmental parameters of the surrounding location (such as temperature, humidity, air pressure, etc.); at this time, the environmental detection program is a pre-written software module, which activates the corresponding sensors according to the received location information; for example, if the current position of the sounding instrument is in the troposphere, the program will give priority to activating the temperature and humidity sensors to collect these data.

[0015] Further, in step S111, the current position and the surrounding position range of the high-altitude balloon sounding device have been determined; this step is to further clarify the specific range of environmental detection on this basis; this usually involves a more detailed division of the surrounding positions, such as dividing a spherical or ellipsoidal area into multiple fan-shaped or annular areas.

[0016] After determining the environmental detection range, it is necessary to set corresponding detection directions along different directions of the high-altitude balloon sounding device; these directions are fixed (such as east, south, west, north) and also dynamic (such as adjusted according to the wind direction, flight direction, etc.); each detection direction will correspond to one or more sensors for collecting environmental parameters in that direction; at this time, this is achieved by installing a rotatable or pointable sensor array on the sounding device; the sensor array includes a temperature sensor, a humidity sensor, a pressure sensor, etc., and each sensor collects data according to the set direction.

[0017] After setting the detection directions, it is necessary to configure the parameters of the sensors according to the environmental characteristics in each direction; this includes setting the sampling frequency, sensitivity, measurement range, etc. to ensure that the sensors can accurately collect the required environmental parameters; at this time, the sensor parameter configuration is usually completed through the control software or remote control system on the sounding device; the operator configures the sensors by adjusting the parameter settings on the software interface according to actual needs.

[0018] Therefore, corresponding environmental parameters are determined according to the detection directions and the detection ends of the high-altitude balloon sounding device to determine multiple environmental parameters of the surrounding positions of the high-altitude balloon sounding device, and the positions of the multiple environmental parameters are marked, taking into account the overall consideration of the detection directions and the detection ends of the high-altitude balloon sounding device, ensuring the accuracy of the corresponding environmental parameters.

[0019] At this time, in step S112, different detection directions of the surrounding positions of the high-altitude balloon sounding device have been set and the corresponding sensors have been configured; this step is to further clarify the corresponding relationship between each detection direction and the specific detection end (i.e., the sensor) on the sounding device on this basis; this is usually achieved through the control software or hardware interface inside the sounding device; at this time, each sensor on the sounding device will have a unique identifier or address for distinguishing different detection ends; the control software will match these identifiers with the corresponding sensors according to the set detection directions to ensure that the environmental parameters in each direction can be correctly collected by the sensors.

[0020] Once the correspondence between the detection direction and the detection end is determined, the radiosonde starts to collect environmental parameters; each sensor will collect data according to preset parameters (such as sampling frequency, sensitivity, etc.) and transmit the collected data to the data processing module of the radiosonde through the internal communication bus; at this time, the data collection of the sensor is usually realized through analog or digital signals; analog signals need to be converted into digital signals by an analog-to-digital converter (ADC) before being processed by the data processing module; digital signals are directly read by the processing module.

[0021] After collecting the environmental parameters, it is necessary to associate each parameter with its corresponding spatial position; this is usually achieved by combining the sensor identifier, the collection time, and the current position (or the deduced surrounding position) of the radiosonde; each environmental parameter will be assigned a unique position tag to identify its source in subsequent data analysis and processing; at this time, there is usually a position tracking module on the radiosonde to record the flight trajectory and the current position of the radiosonde in real time; this module communicates with the data processing module to combine the position information with the environmental parameters; in addition, the collection time of each parameter is recorded through a timestamp for time-related analysis when needed.

[0022] Specifically, assume that the high-altitude balloon radiosonde is conducting meteorological observations in the troposphere and has determined the surrounding position range and detection direction through steps S111 and S112; now, it is necessary to collect environmental parameters according to these settings and determine their positions.

[0023] First, four detection directions of east, south, west, and north are determined, and a temperature sensor, a humidity sensor, a pressure sensor, and a wind speed sensor are respectively configured; then, the data collection program of the radiosonde is started; during the collection process, the temperature sensor collects a temperature value of 20 degrees Celsius in the east direction; the humidity sensor collects a relative humidity value of 60% in the south direction; the pressure sensor collects a pressure value of 800 hPa in the west direction; the wind speed sensor collects a wind speed value of 10 m / s in the north direction.

[0024] Next, these environmental parameters are associated with their corresponding spatial positions; for example, the temperature value of 20 degrees Celsius is combined with a specific position in the east direction (deduced from the current position and flight trajectory of the radiosonde) to form a temperature data point with a position tag; similarly, data points with position tags are also generated for other environmental parameters.

[0025] In some embodiments of the present application, an environmental parameter matching table is collected, and the environmental parameter matching table is shown in Table 1: Table 1 Environmental Parameter Matching Table Detection direction Sensor type Environmental parameters East Temperature sensor Temperature South Humidity sensor Humidity West Barometric pressure sensor Barometric pressure North Wind speed sensor Wind speed Specifically, assume that the sounding balloon is at a flight altitude of 10,000 meters at a certain moment, with a latitude of 30 degrees north and a longitude of 120 degrees east. According to the matching table, the environmental parameters collected by the sensor are as follows: In the east direction: temperature = 20 degrees Celsius, weight = 0.3; in the south direction: humidity = 60%, weight = 0.2; in the west direction: air pressure = 800 hPa, weight = 0.4; in the north direction: wind speed = 10 m / s, weight = 0.1. According to the calculation of weight and score, the following results are obtained: temperature score = 20 × 0.3 = 6 (points); humidity score = 60% × 0.2 = 12 (points); air pressure score = 800 × 0.4 = 320 (points); wind speed score = 10 × 0.1 = 1 (point). This helps to more accurately evaluate the influence of different parameters on the meteorological conditions in subsequent data analysis and processing.

[0026] Reference Figure 3 , in step S12, determine the environmental type where the high-altitude balloon sounding device is located according to multiple environmental parameters, and determine the meteorological detection mode of the high-altitude balloon sounding device based on this environmental type and the form of the high-altitude balloon sounding device; In the specific implementation process of the present invention, the specific steps are as follows: S121: Determine multiple environmental parameter combinations according to multiple environmental parameters and their corresponding positions, determine the corresponding environmental characteristics according to the identification of multiple environmental parameter combinations, and determine the environmental type where the high-altitude balloon sounding device is located based on multiple environmental characteristics, the position of the high-altitude balloon sounding device, and the azimuth of multiple environmental characteristics relative to the high-altitude balloon sounding device; S122: Determine the form of the high-altitude balloon sounding device based on the detection of the high-altitude balloon sounding device, and determine the first mode coefficient according to the form of the high-altitude balloon sounding device and the position of the high-altitude balloon sounding device; S123: Determine the second mode coefficient according to the form of the high-altitude balloon sounding device and the environmental type; determine the meteorological detection mode of the high-altitude balloon sounding device based on the first mode coefficient, the second mode coefficient, and the meteorological detection mode mapping relationship. This meteorological detection mode includes the meteorological detection mode of the sounding balloon, the radar meteorological detection mode, and the unmanned aerial vehicle meteorological detection mode.

[0027] In the embodiment of the present application, integrate multiple environmental parameters (such as temperature, humidity, air pressure, wind speed, wind direction, etc.) collected in step S113 and their corresponding position information to form multiple environmental parameter combinations; each combination contains multiple environmental parameter values at a specific position. After obtaining multiple environmental parameter combinations, it is necessary to use a preset environmental feature recognition model to identify the environmental characteristics corresponding to these combinations; these features are certain specific phenomena or conditions in meteorology, such as frontal surfaces, cyclones, anticyclones, cloud types, etc.

[0028] After identifying the environmental characteristics, it is necessary to combine the position information (longitude, latitude, altitude) of the high-altitude balloon sounding device and the orientation of the environmental characteristics relative to the sounding device (such as above, below, left, right, front, back, etc.) to determine the specific environmental type where the sounding device is located; this environmental type is a certain layer in the atmosphere (such as the troposphere, stratosphere, mesosphere, etc.), and it is also a specific meteorological condition or phenomenon (such as a rainstorm area, a drought area, the eye of a typhoon, etc.); at this time, geographic information system (GIS) technology is used to integrate the position information and orientation information, and a meteorology knowledge base is used to interpret the relationship between the environmental characteristics and the environmental type.

[0029] Furthermore, the current form of the high-altitude balloon sounding device is determined through sensors on the sounding device or other detection means; the form includes the volume, shape, surface material, and detection equipment carried by the sounding device, etc.; these form information is crucial for subsequent determination of the mode coefficient because different forms will affect the stability and detection accuracy of the sounding device in a specific environment; at this time, the high-altitude balloon sounding device is usually equipped with a self-diagnosis function to monitor and report its form status in real time.

[0030] After determining the form of the sounding device, it is necessary to combine its position information (longitude, latitude, altitude, etc.) to jointly determine a parameter called the first mode coefficient; this coefficient reflects the performance or efficiency of the sounding device when conducting meteorological detection under the current form and position conditions; it is a dimensionless value and is also a coefficient related to specific detection parameters (such as temperature, humidity, air pressure, etc.).

[0031] Specifically, assume that a high-altitude meteorological detection mission is being carried out, and the high-altitude balloon sounding device used has the following form characteristics: the volume is 2 cubic meters, the shape is streamlined to reduce air resistance, the surface material is a lightweight and high-strength synthetic fiber, and it is equipped with temperature, humidity, air pressure, and wind speed and direction sensors; during the flight, the position information of the sounding device is as follows: longitude 120°, latitude 30°, altitude 10,000 meters; at this altitude, the atmospheric pressure is low, the temperature is also low, and the wind speed is large; based on the form and position information of the sounding device, the following steps are taken to determine the first mode coefficient: Form analysis: The volume of the sounding device is moderate, and the shape is streamlined, which is conducive to maintaining stability and reducing energy loss during high-altitude flight; the surface material is lightweight and high-strength, and can withstand the low temperature and strong wind environment at high altitudes; the detection equipment carried is complete, and can accurately measure key meteorological parameters such as temperature, humidity, air pressure, and wind speed and direction. Position analysis: The sounding device is currently located at the position of 120° east longitude, 30° north latitude, and altitude 10,000 meters; this position is in the transitional area between the troposphere and the stratosphere, and the atmospheric conditions are complex and changeable; the low temperature, low air pressure, and strong wind environment at high altitudes pose higher requirements for the performance of the sounding device. Combined with the morphological and position information of the radiosonde, a pre-trained machine learning model was used to calculate the first mode coefficient; this model considered factors such as the volume, shape, material, carried equipment of the radiosonde, and longitude, latitude, altitude, etc. in the position information; after calculation, a dimensionless first mode coefficient value was obtained, such as 0.85 (assumed value); this value indicates that the performance or efficiency of the radiosonde during meteorological detection under the current morphological and position conditions is 85% (relative to a certain benchmark or ideal state).

[0032] Therefore, the second mode coefficient is determined according to the morphology and environmental types of the high-altitude balloon radiosonde; based on the first mode coefficient, the second mode coefficient, and the meteorological detection mode mapping relationship, the meteorological detection mode of the high-altitude balloon radiosonde is determined, and this meteorological detection mode includes the radiosonde meteorological detection mode, the radar meteorological detection mode, and the unmanned aerial vehicle meteorological detection mode, which takes into account the overall consideration of the first mode coefficient, the second mode coefficient, and the meteorological detection mode mapping relationship, ensuring the accuracy of the meteorological detection mode of the high-altitude balloon radiosonde.

[0033] At this time, combined with the morphological information of the high-altitude balloon radiosonde (such as volume, shape, surface material, carried detection equipment, etc.) and the previously determined environmental type information (such as troposphere, stratosphere, cloud type, storm area, etc.), a second mode coefficient is jointly determined; this coefficient reflects the performance or efficiency of the radiosonde in a specific meteorological detection mode under the current morphological and environmental type conditions.

[0034] After obtaining the first mode coefficient and the second mode coefficient, it is necessary to determine the meteorological detection mode that the radiosonde should adopt according to the preset meteorological detection mode mapping relationship; this mapping relationship is a lookup table, decision tree, neural network, or other form of model, which associates the first mode coefficient, the second mode coefficient with specific meteorological detection modes. The meteorological detection modes include the radiosonde meteorological detection mode (i.e., the traditional mode of using high-altitude balloons to detect the vertical distribution of meteorological elements), the radar meteorological detection mode (the mode of using radar equipment to detect precipitation, wind fields, etc. in the atmosphere), and the unmanned aerial vehicle meteorological detection mode (the mode of using unmanned aerial vehicles carrying meteorological sensors to conduct atmospheric detection), etc.

[0035] Specifically, the used high-altitude balloon radiosonde has the following morphological characteristics: the volume is 3 cubic meters, the shape is streamlined, the surface material is lightweight and high-strength synthetic fiber, and it is equipped with temperature, humidity, pressure, wind speed and direction, and cloud particle sensors; the previously determined environmental type is the middle stratosphere, where the atmosphere is stable, the temperature is low, the humidity is small, the wind speed is moderate, and there are often clouds; according to this information, the following steps are carried out to determine the meteorological detection mode: Calculate the second mode coefficient: Combining the morphological information of the radiosonde (volume, shape, material, carried equipment, etc.) and the environmental type information (mid-stratosphere), a pre-trained machine learning model is used to calculate the second mode coefficient; this model considers the morphological characteristics of the radiosonde and the influence of factors such as temperature, humidity, and wind speed in the environmental type on the performance of the radiosonde; after calculation, a dimensionless second mode coefficient value is obtained, such as 0.78 (assumed value); this value represents that under the current morphological and environmental type conditions, the performance or efficiency of the radiosonde in a specific meteorological detection mode is 78% (relative to a certain benchmark or ideal state); Determine the meteorological detection mode: After obtaining the first mode coefficient (assumed to be 0.85, as described in step S122) and the second mode coefficient (0.78), the meteorological detection mode that the radiosonde should adopt is determined according to the preset meteorological detection mode mapping relationship; assume that the mapping relationship is a simple lookup table, which lists the meteorological detection modes corresponding to different combinations of the first mode coefficient and the second mode coefficient; in this example, a matching combination (0.80 - 0.90, 0.70 - 0.80) is found, and the corresponding meteorological detection mode is the radiosonde meteorological detection mode; In some embodiments of the present application, a meteorological detection mode matching table is collected, and the meteorological detection mode matching table is shown in Table II: Table II Meteorological Detection Mode Matching Table First mode coefficient range Second mode coefficient range Meteorological detection mode 0.7-0.8 0.7-0.8 Radiosonde meteorological detection mode 0.8-0.9 0.8-0.9 Radar meteorological detection mode 0.9-1.0 0.9-1.0 UAV meteorological detection mode In this meteorological detection mode matching table, the corresponding meteorological detection mode is found according to the ranges of the first mode coefficient and the second mode coefficient; for example, if the first mode coefficient is 0.85 and the second mode coefficient is 0.84, they respectively fall within the range of 0.8 - 0.9, so the meteorological detection mode is the radar meteorological detection mode.

[0036] Reference Figure 4 , in step S13, the high-altitude balloon radiosonde collects multiple meteorological data in real time along this meteorological detection mode, and determines the corresponding meteorological dynamic map based on the multiple meteorological data, the corresponding azimuth position, and the surrounding environment image of the high-altitude balloon radiosonde; In the specific implementation process of the present invention, the specific steps are as follows: S131: Trigger the meteorological detection of the high-altitude balloon radiosonde along this meteorological detection mode, and collect multiple meteorological data in real time. Determine the corresponding meteorological data combination according to the combination of the multiple meteorological data, and each meteorological data combination matches the corresponding meteorological dimension type; S132: Respond to the peripheral camera of the high-altitude balloon radiosonde, and determine the surrounding environment image of the high-altitude balloon radiosonde according to the dynamic shooting of the peripheral camera. Determine the first meteorological distribution map according to the surrounding environment image of the high-altitude balloon radiosonde and the multiple meteorological data combinations; S133: Determine the second meteorological distribution map based on multiple meteorological data combinations and corresponding azimuth positions, and determine the corresponding meteorological dynamic map based on the synthesis of the first meteorological distribution map and the second meteorological distribution map.

[0037] In the embodiments of the present application, the meteorological detection function of the high-altitude balloon radiosonde is activated according to the previously determined meteorological detection mode (such as radiosonde meteorological detection mode, radar meteorological detection mode, or unmanned aerial vehicle meteorological detection mode, etc.); the radiosonde will start working according to the preset detection mode and parameters, such as adjusting the sensor sensitivity, setting the data acquisition frequency, etc.; at this time, for example, if the radiosonde meteorological detection mode is selected, then the radiosonde will be released into the atmosphere and collect meteorological data at different altitudes as the balloon rises; during this process, the radiosonde will automatically adjust its sensors according to the preset program to adapt to the environmental conditions at different altitudes, such as temperature changes, pressure drops, etc.

[0038] After the radiosonde starts working, it will collect various meteorological data in real time, including temperature, humidity, pressure, wind speed, wind direction, etc.; these data are measured by the sensors carried on the radiosonde, and the sensors will convert the measured physical quantities into electrical signals and record and process them through the data processing unit; at this time, taking the temperature data as an example, the temperature sensor on the radiosonde will measure the temperature of the surrounding environment in real time and convert the measured temperature value into an electrical signal for transmission; similarly, the humidity sensor, pressure sensor, wind speed sensor, and wind direction sensor will also measure parameters such as humidity, pressure, wind speed, and wind direction respectively, and convert these parameters into electrical signals for recording.

[0039] After collecting multiple meteorological data, it is necessary to combine and organize these data to form different meteorological data combinations; these combinations include the combination of temperature and humidity, the combination of pressure and wind speed, etc., depending on the analysis requirements and purposes; at this time, the temperature, humidity, and pressure data at the same time point are combined together to form a data combination representing the current atmospheric state; similarly, the wind speed and wind direction data at different time points are also combined together to analyze the changes in the wind field.

[0040] After determining the meteorological data combinations, it is necessary to match these combinations with the corresponding meteorological dimension types; the meteorological dimension types include temperature dimension, humidity dimension, pressure dimension, wind speed dimension, wind direction dimension, etc., and each dimension represents a physical characteristic of a certain aspect in the atmosphere; at this time, taking the temperature dimension as an example, the meteorological data combination containing temperature data is matched with the temperature dimension; similarly, the meteorological data combination containing humidity data will be matched with the humidity dimension, and so on; in this way, the collected meteorological data are classified and organized according to different dimensions, providing convenience for subsequent analysis and prediction.

[0041] Furthermore, in response to the circumferential cameras of the high-altitude balloon radiosonde, and based on the dynamic shooting of the circumferential cameras, the surrounding environment image of the high-altitude balloon radiosonde is determined. The first meteorological distribution map is determined based on the combination of the surrounding environment image of the high-altitude balloon radiosonde and multiple meteorological data, taking into account the overall combination of the surrounding environment image of the high-altitude balloon radiosonde and multiple meteorological data, ensuring the accuracy of the first meteorological distribution map.

[0042] At this time, activate and respond to the circumferential cameras installed on the high-altitude balloon radiosonde; these cameras are usually designed to be able to take 360-degree panoramic shots or at least cover the key areas around the radiosonde to capture changes in the surrounding environment; responding to the cameras means starting their shooting function and ensuring that the cameras are working properly and can transmit image data in real time; at this time, the circumferential cameras on the radiosonde are connected to the control center wirelessly; at the control center, the operator starts the shooting function of the cameras through the monitoring software or interface and views the transmitted image data in real time; if the cameras are equipped with night vision, infrared or other enhanced functions, the operator also needs to ensure that these functions are correctly activated according to the current environmental conditions.

[0043] After the cameras are started and working properly, they will continuously capture and transmit the surrounding environment images of the radiosonde; these images include cloud types, sky colors, ground features (if the radiosonde has not risen to a sufficient height), and other visual cues affecting meteorological conditions; these images need to be processed and analyzed in real time to determine the meteorological environment where the radiosonde is currently located; at this time, the image data received by the control center will be preprocessed, such as denoising, enhancing contrast, etc., to improve the image quality; then, the operator or the automatic analysis system identifies the meteorological conditions based on the features in the image, such as judging precipitation based on cloud thickness and color, or judging whether the radiosonde is approaching a terrain obstacle based on ground features.

[0044] After obtaining the surrounding environment image of the radiosonde and the combination of multiple meteorological data, these information need to be combined to generate a first meteorological distribution map reflecting the current meteorological situation; this distribution map is a two-dimensional or three-dimensional image, which contains the spatial distribution of meteorological data and the visual information in the image; at this time, meteorological data such as temperature, humidity, and air pressure are overlaid on the surrounding environment image in a color-coded manner to form a colored meteorological distribution map; in this map, different colors represent different meteorological conditions, such as red represents a high-temperature area, blue represents a low-temperature area, green represents moderate conditions, etc.; at the same time, visual information such as cloud distribution and precipitation areas in the image is also integrated into this distribution map to provide more comprehensive meteorological information.

[0045] Specifically, assume that a meteorological observation was carried out using a high-altitude balloon sounding device at a certain point in time, and the following information was obtained: The image captured by the peripheral camera shows that there are thick clouds above the sounding device, and the sky is clear below the clouds, and the ground features are faintly visible; At the same time, the combined meteorological data collected includes: temperature 20°C, humidity 80%, air pressure 1000 hPa, wind speed 3 m / s, and wind direction southwest; Based on this information, the following first meteorological distribution map is generated.

[0046] In the first meteorological distribution map, color coding is used to represent temperature and humidity; For example, the temperature of 20°C is represented by green, and the humidity of 80% is represented by dark blue (assuming dark blue represents high humidity); The cloud area is filled with gray or white to indicate cloud cover; Although the ground features (such as trees, buildings, etc.) are blurred, their outlines are roughly outlined with light lines or shadows; The air pressure, wind speed, and wind direction information are added to the distribution map in the form of text or icons as additional information, such as using arrows to represent the wind direction and wind speed magnitude; Through such steps and examples, the image of the surrounding environment of the high-altitude balloon sounding device and multiple combined meteorological data are combined to generate an intuitive first meteorological distribution map containing rich meteorological information.

[0047] Therefore, based on multiple combined meteorological data and their corresponding azimuth positions, the second meteorological distribution map is determined, and based on the synthesis of the first meteorological distribution map and the second meteorological distribution map, the corresponding meteorological dynamic map is determined. At the same time, considering the overall situation of multiple meteorological data, corresponding azimuth positions, and the image of the surrounding environment of the high-altitude balloon sounding device, the accuracy of the meteorological dynamic map is ensured, and dynamic control of the meteorological detection of the high-altitude balloon sounding device is carried out.

[0048] At this time, multiple combined meteorological data collected (such as temperature, humidity, air pressure, wind speed, wind direction, etc.) are combined with their respective corresponding azimuth positions (such as east, south, west, north or specific longitude and latitude coordinates) to determine the second meteorological distribution map; This distribution map aims to show the spatial distribution of meteorological data in different azimuths to help understand the spatial variability and trends of meteorological conditions; At this time, each meteorological data point is associated with its accurate azimuth position; This is usually achieved through GPS positioning or other geographical location sensing technologies; Then, using a geographic information system (GIS) or data visualization software, these data points are presented in a graphical way; For example, temperature data is represented by different colors for different temperature ranges, and these colors are filled into the corresponding azimuth positions to form a colored temperature distribution map; Similarly, humidity, air pressure and other data are presented in a similar way.

[0049] After obtaining the first meteorological distribution map (mainly based on the surrounding environment images captured by the camera) and the second meteorological distribution map (based on meteorological data and azimuth positions), it is necessary to synthesize these two maps to generate a meteorological dynamic map; this dynamic map aims to combine the advantages of image data and meteorological data to provide an intuitive and visually rich visualization result with abundant meteorological information. At this time, the synthesis process involves various techniques such as image overlay, transparency adjustment, and color mapping; for example, the second meteorological distribution map is used as the bottom layer, and visual information such as clouds and precipitation in the first meteorological distribution map is overlaid on it; to ensure the clear readability of the information, it is necessary to adjust the transparency of different layers so that the meteorological data distribution of the bottom layer and the image information of the top layer can be clearly observed; in addition, animation or time series techniques are also used to show the change of meteorological conditions over time, thus forming a dynamic meteorological monitoring picture.

[0050] In some embodiments of the present application, an azimuth matching table of meteorological data is collected, and the azimuth matching table of this meteorological data is shown in Table 3: Table 3 Azimuth Matching Table of Meteorological Data Azimuth Temperature (°C) Humidity (%) Barometric pressure (hPa) Wind speed (m / s) Wind direction North 15 70 1010 5 Northeast East 18 65 1012 4 North South 22 60 1015 3 Southeast West 19 68 1013 4 Southwest In this azimuth matching table of meteorological data, each azimuth corresponds to a set of meteorological data; these data are used to generate the second meteorological distribution map, where different colors or patterns represent different meteorological conditions. After generating the first meteorological distribution map (based on the surrounding environment images captured by the camera) and the second meteorological distribution map, it is necessary to synthesize these two maps to generate a meteorological dynamic map; the synthesis process involves various techniques such as image overlay, transparency adjustment, and color mapping; in addition, weights and scores are also used to calculate the influence degree of each meteorological condition on the final image.

[0051] At this time, an azimuth score matching table is collected, and the azimuth score matching table is shown in Table 4: Table 4 Azimuth Score Matching Table Azimuth Temperature score (weight = 0.4) Humidity score (weight = 0.3) Comprehensive score North 15×0.4=6 70×0.3=21 27 East 18×0.4=7.2 65×0.3=19.5 26.7 South 22×0.4=8.8 60×0.3=18 26.8 West 19×0.4=7.6 68×0.3=20.4 28 In this example, the weights of temperature and humidity are 0.4 and 0.3 respectively, and the weights of other meteorological conditions (such as air pressure, wind speed, and wind direction) are set to 0 or smaller values because they are not the focus in this example; the comprehensive score of each azimuth is obtained by adding the scores of each meteorological condition; when generating the meteorological dynamic map, these comprehensive scores are used to adjust the brightness, color, or pattern of different azimuths in the image; for example, azimuths with higher scores are represented by brighter colors or more prominent patterns to highlight the differences in their meteorological conditions.

[0052] Example of meteorological dynamic map output: In the northern region, due to higher humidity, it is represented as a dark blue area or an area with a water droplet pattern; in the southern region, due to higher temperature, it is represented as a red area or an area with a heat wave pattern; the eastern and western regions are in between, represented by patterns of medium brightness and color; at the same time, visual information such as clouds and precipitation is superimposed on the first meteorological distribution map to provide more comprehensive meteorological information; the final meteorological dynamic map will be a visualization result that contains both image information and meteorological data, which helps to better understand and predict changes in meteorological conditions.

[0053] Reference Figure 5 , in step S14, a corresponding meteorological data data packet is formed based on the meteorological dynamic map and the corresponding multiple meteorological data. The first data transmission method is determined according to the data volume of the meteorological data data packet and the position of the high-altitude balloon sounding device, and the data transmission path of the first data transmission method is marked; In the specific implementation process of the present invention, the specific steps are as follows: S141: Collect multiple meteorological data, and associate the meteorological dynamic map with the corresponding multiple meteorological data. At this time, the meteorological dynamic map and the corresponding multiple meteorological data are integrated into the same data space of the high-altitude balloon sounding device, and the data space is controlled by data packets to form a corresponding meteorological data data packet; S142: Determine the data volume of the meteorological data data packet based on the detection of the meteorological data data packet. Determine the first transmission coefficient according to the data volume of the meteorological data data packet and the position of the high-altitude balloon sounding device, and determine the second transmission coefficient according to the data volume of the meteorological data data packet and the type of environment where the high-altitude balloon sounding device is located; S143: Determine the first data transmission method according to the first transmission coefficient, the second transmission coefficient, and the transmission method mapping relationship, trigger the online data transmission of the high-altitude balloon sounding device based on the first data transmission method, and determine the data transmission path of the first data transmission method based on the high-altitude balloon sounding device and the data receiving station.

[0054] In the embodiment of the present application, the high-altitude balloon sounding device will use various sensors carried on it to collect a variety of meteorological data; these data include but are not limited to temperature, humidity, air pressure, wind speed, wind direction, precipitation, etc.; the sensors will record these data in digital form and store them in the internal memory of the sounding device; at this time, different meteorological data require different sensors to collect; for example, a temperature sensor is used to measure temperature, a humidity sensor is used to measure humidity, a pressure sensor is used to measure air pressure, etc.; according to actual needs, the sensors collect data at different frequencies; for example, for rapidly changing meteorological conditions, a higher collection frequency is required to obtain more detailed data; the collected data will be stored in the memory of the sounding device for subsequent processing and analysis.

[0055] Associate the previously collected meteorological data with the meteorological dynamic map; the meteorological dynamic map is usually a two-dimensional or three-dimensional image based on time and space, which shows the changes in meteorological conditions over time; the association process involves attaching the meteorological data as metadata to the corresponding positions or time periods of the meteorological dynamic map; at this time, associate the data collected by the radiosonde with these images; in order to associate the meteorological data with the meteorological dynamic map, it is necessary to determine the corresponding positions or time periods of the data in the image; this requires the use of a Geographic Information System (GIS) or other spatial analysis techniques to achieve; once the corresponding relationship between the data and the image is determined, attach the meteorological data as metadata to the meteorological dynamic map; these metadata include the timestamp, location information, sensor type, etc. of the data.

[0056] Integrate the associated meteorological dynamic map and meteorological data into the same data space of the radiosonde; this data space is a logical collection used to store and manage all data related to the radiosonde; by integrating these data, subsequent data processing and analysis can be conveniently carried out; at this time, the data space uses a database, file system or other data structures to store data; it needs to be able to support the storage and query of multiple data types (such as images, digital data, etc.); integrating data involves importing the meteorological dynamic map and meteorological data into the corresponding positions in the data space; this requires the use of data import tools or writing specific scripts to achieve; before integrating the data, it is necessary to perform a data integrity check to ensure the accuracy and consistency of the data.

[0057] Perform packet control on the data in the data space; packet control refers to organizing the data into data packets with specific structures and formats for transmission, storage and processing; for meteorological data, the data packet contains information such as meteorological dynamic maps, meteorological data, metadata, etc.; at this time, the data packet uses a specific format to store data, such as XML, JSON, binary format, etc.; these formats need to be able to support the structured storage and efficient transmission of data; each data packet needs to have a unique name or identifier so that it can be easily identified in subsequent processing and analysis; in order to improve the transmission efficiency and protect data security, it is necessary to compress and encrypt the data packet.

[0058] Furthermore, determine the data volume of the meteorological data packet based on the detection of the meteorological data packet, determine the first transmission coefficient according to the data volume of the meteorological data packet and the position of the high-altitude balloon radiosonde, determine the second transmission coefficient according to the data volume of the meteorological data packet and the type of environment where the high-altitude balloon radiosonde is located, taking into account the overall consideration of the data volume of the meteorological data packet and the type of environment where the high-altitude balloon radiosonde is located, and ensure the accuracy of the second transmission coefficient.

[0059] At this time, the system first needs to detect the meteorological data data packet to determine its data volume; this usually involves reading the header information or metadata of the data packet to obtain basic information such as the data packet size, content structure, and data type; through this step, the system understands how much meteorological data is contained in the current data packet, as well as the complexity and detail of this data; at this time, the data packet is parsed to read its header information or metadata part; the header information contains key information such as the length, version, and checksum of the data packet; after reading the header information of the data packet, the system calculates the total amount of meteorological data in the data packet; this requires considering factors such as the data encoding method and compression ratio.

[0060] The system will determine the first transmission coefficient based on the data volume of the meteorological data data packet and the current position of the high-altitude balloon radiosonde; this coefficient reflects the efficiency and reliability of data transmission under given data volume and position conditions; position factors include the distance between the radiosonde and the ground receiving station, topography, signal propagation conditions, etc.; at this time, the larger the data volume of the data packet, the more bandwidth and time required for transmission, which will affect the efficiency and speed of transmission; the position of the radiosonde will affect the feasibility of data transmission; for example, if the radiosonde is located in a remote area or an area with poor signal coverage, the transmission will be restricted or delayed; based on the data volume and position factors, the system calculates the first transmission coefficient; this coefficient is a value between 0 and 1, used to represent the efficiency and reliability of data transmission under current conditions.

[0061] The system will determine the second transmission coefficient based on the data volume of the meteorological data data packet and the type of environment where the radiosonde is located; the types of environment include cloud thickness, precipitation, electromagnetic interference, etc., and these factors all affect the quality and stability of data transmission; at this time, different environmental conditions will have different impacts on data transmission; for example, when the cloud layer is thick or there is more precipitation, the radio signal will be attenuated or interfered; when the electromagnetic interference is severe, the data transmission will be interfered or interrupted; the data volume of the data packet will also affect the efficiency and stability of transmission; but here, more attention is paid to the superposition effect of the data volume on environmental factors; based on the data volume and environmental factors, the system calculates the second transmission coefficient; this coefficient is also a value between 0 and 1, used to represent the quality and stability of data transmission under current environmental conditions.

[0062] Specifically, assume that at a certain point in time, the high-altitude balloon radiosonde collected a set of meteorological data during flight and generated a meteorological data data packet; the data volume of this data packet is 1MB, and the radiosonde is currently located over a mountainous area 500 kilometers away from the ground receiving station, with a thick cloud layer and slight precipitation.

[0063] The system detects that the size of the data packet is 1 MB; the system calculates the first transmission coefficient based on the data volume of the data packet (1 MB) and the location of the radiosonde (in the mountainous area 500 kilometers away); due to the long distance and complex terrain, the transmission will be subject to certain limitations and delays; assuming that the first transmission coefficient calculated by the system is 0.6, indicating that the efficiency and reliability of data transmission under the current conditions are 60%; the system calculates the second transmission coefficient based on the data volume of the data packet (1 MB) and the environment where the radiosonde is located (thick clouds and accompanied by precipitation); since thick clouds and precipitation will affect the propagation quality of radio signals, assuming that the second transmission coefficient calculated by the system is 0.5, indicating that the quality and stability of data transmission under the current environmental conditions are 50%; these two transmission coefficients will be used in the subsequent steps to determine the optimal data transmission method and path.

[0064] Therefore, the first data transmission method is determined according to the mapping relationship between the first transmission coefficient, the second transmission coefficient and the transmission method, and the online data transmission of the high-altitude balloon radiosonde is triggered based on the first data transmission method. And based on the high-altitude balloon radiosonde and the data receiving station, the data transmission path of the first data transmission method is determined, which takes into account the overall mapping relationship between the first transmission coefficient, the second transmission coefficient and the transmission method, ensuring the accuracy of the first data transmission method.

[0065] At this time, the system will determine the optimal data transmission method according to the first transmission coefficient and the second transmission coefficient calculated previously, and a predefined transmission method mapping relationship; this mapping relationship is a lookup table or algorithm that selects the most suitable transmission method according to the value of the transmission coefficient; at this time, the transmission method mapping relationship is a predefined rule that selects the most suitable transmission method according to the value of the transmission coefficient (or other relevant parameters); the transmission methods include satellite communication, radio communication, optical fiber communication, etc.; the system will find the corresponding transmission method in the mapping relationship according to the values of the first transmission coefficient and the second transmission coefficient; this transmission method should be the most efficient and reliable method under the current conditions.

[0066] Once the first data transmission method is determined, the system will trigger the online data transmission of the high-altitude balloon radiosonde; online data transmission means that the data is transmitted in real time during the flight of the radiosonde, rather than waiting for the radiosonde to return to the ground before transmission; at this time, online data transmission is a real-time data transmission method that allows the radiosonde to transmit data to the ground receiving station or other data receiving points in real time during the flight; the system will send instructions to the radiosonde according to the determined first data transmission method to start the data transmission process; this instruction includes the specific parameters of the transmission method (such as frequency, baud rate, etc.) and the address information of the data receiving station.

[0067] The system determines the data transmission path based on the current position of the high-altitude balloon radiosonde, the position of the data receiving station, and the specific characteristics of the first data transmission method; this path is a direct radio link and also a transmission via a satellite or other relay device; at this time, the system determines the optimal data transmission path according to the position information of the radiosonde and the data receiving station, as well as the specific characteristics of the transmission method (such as transmission distance, signal coverage, transmission speed, etc.); when determining the transmission path, the system considers various factors, such as transmission cost, transmission efficiency, transmission stability, etc., to optimize the selection of the transmission path.

[0068] Specifically, assume that at a certain point in time, the high-altitude balloon radiosonde has collected a set of meteorological data during flight and generated a meteorological data packet; after the previous steps, the system has calculated the first transmission coefficient as 0.6, the second transmission coefficient as 0.5, and determined a transmission method mapping relationship.

[0069] Based on the values of the first transmission coefficient and the second transmission coefficient, the system finds the most suitable transmission method in the transmission method mapping relationship, assume it is satellite communication; the system sends an instruction to the radiosonde to start the online data transmission process; the radiosonde starts to transmit the meteorological data packet to the ground receiving station in real time via satellite communication; the system determines an optimal data transmission path according to the position information of the radiosonde and the data receiving station, as well as the specific characteristics of satellite communication; this path is a relay transmission through one or more satellites and finally transmits the data packet to the ground receiving station; through such a process, the high-altitude balloon radiosonde can efficiently and stably transmit meteorological data to the ground receiving station in real time, providing important data support for weather forecasting and scientific research.

[0070] Specifically, collect the first data transmission method matching table, and the first data transmission method matching table is shown in Table 5 as follows: Table 5 First Data Transmission Method Matching Table First transmission coefficient range Second transmission coefficient range First data transmission method 0.8-1.0 0.8-1.0 Satellite high-speed communication 0.6-0.79 0.6-0.79 Radio relay communication 0.0-0.59 0.0-0.59 Return to ground transmission after storage First transmission coefficient: 0.7; Second transmission coefficient: 0.6; Determined first data transmission method: radio relay communication; Data transmission path: radiosonde > Relay station A > Relay station B > Ground receiving station; Through such a process, the high-altitude balloon radiosonde can efficiently and stably transmit meteorological data to the ground receiving station in real time.

[0071] Reference Figure 6 , in step S15, if there is an abnormal state in the data transmission path, then determine the second data transmission method according to the abnormal factors of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission method; In the specific implementation process of the present invention, the specific steps are as follows: S151: Monitor the data transmission process along the data transmission path in real time, and collect the transmission progress of each data in the meteorological data packet. If the transmission progress of the data is less than the preset transmission progress threshold, the data is positioned as abnormal data, and the data transmission segment corresponding to the abnormal data is marked as an abnormal state, so that the data transmission path has an abnormal state. S152: Determine the corresponding abnormal node based on the detection of the data transmission segment corresponding to the abnormal data, determine the data transmission abnormal event according to the traceability of the abnormal node, and determine the abnormal factor of the abnormal node based on the identification of the data transmission abnormal event. S153: If there are multiple abnormal nodes, determine the third transmission coefficient according to the relative positions of the multiple abnormal nodes and the abnormal factors of each abnormal node, determine the fourth transmission coefficient according to the abnormal factors of each abnormal node and the data to be transmitted corresponding to each abnormal node, and determine the second data transmission method based on the third transmission coefficient, the fourth transmission coefficient and the abnormal transmission mapping relationship. At this time, the second data transmission method is different from the first data transmission method, and the execution process of the second data transmission method does not affect the execution process of the first data transmission method. The high-altitude balloon sounding instrument synchronously transmits the data to be transmitted along the second data transmission method.

[0072] In the embodiment of the present application, the system needs to monitor the data transmission process along the data transmission path in real time; this usually involves monitoring each node in the data transmission network, including the sending end, the receiving end, and the intermediate relay nodes, etc.; the monitoring content includes key indicators such as data transmission rate, data packet size, transmission delay, etc.; at this time, the system uses a dedicated network monitoring tool or software to perform real-time monitoring of data transmission; the monitoring should cover the entire data transmission path to ensure no omission.

[0073] The system needs to collect the transmission progress of each data in the meteorological data packet; this usually involves parsing the data packet to obtain the transmission status of each data, including information such as the amount of data already transmitted, the remaining amount of data, and the transmission speed, etc.; at this time, the system needs to parse the meteorological data packet to obtain its internal data structure; based on the parsed data structure, the system calculates the transmission progress of each data; the system needs to record the transmission progress of each data for subsequent comparison and judgment.

[0074] The system needs to compare the data transmission progress collected with a preset transmission progress threshold; this threshold is usually set according to the actual situation and requirements of data transmission and is used to judge whether the data transmission is proceeding normally; at this time, the threshold should be set according to the actual situation and requirements of data transmission and varies for different data transmission tasks; the system compares the data transmission progress collected with the preset threshold; if the transmission progress is less than the threshold, it is considered that the data transmission is abnormal.

[0075] If the system determines that the data transmission progress is less than the preset data transmission progress threshold, it will locate the abnormal data and mark the data transmission segment corresponding to the abnormal data as an abnormal state; this means that there is an abnormality in the data transmission path and subsequent processing and repair are required; at this time, based on the comparison result of the transmission progress, the system locates the data with a transmission progress lower than the threshold, that is, the abnormal data; the system marks the data transmission segment corresponding to the abnormal data to indicate that it is in an abnormal state; since the data transmission segment is marked as an abnormal state, the entire data transmission path is also considered to have an abnormality.

[0076] Specifically, assume that a high-altitude balloon radiosonde is transmitting a set of meteorological data packets to a ground receiving station; the preset transmission progress threshold of the system is 80%, that is, the data should complete at least 80% of the transmission within the specified time; during real-time monitoring, the system finds that a certain data in a certain meteorological data packet suddenly stops transmitting after 60% of the transmission, and the transmission progress does not change for a long time.

[0077] The system monitors the data transmission process in real time through a network monitoring tool and finds that the transmission speed of this data packet has significantly slowed down; the system analyzes the data packet and finds that the transmission progress of this data is only 60%; the system compares the 60% transmission progress with the preset 80% threshold and finds that the transmission progress is lower than the threshold; the system locates this data as abnormal data and marks the data transmission segment corresponding to it as an abnormal state; this means that there is an abnormality in the data transmission path and subsequent processing and repair are required.

[0078] Furthermore, based on the detection of the data transmission segment corresponding to the abnormal data, the corresponding abnormal node is determined, and based on the tracing of the abnormal node, the data transmission abnormal event is determined. Based on the identification of the data transmission abnormal event, the abnormal factor of the abnormal node is determined, which takes into account the overall detection of the data transmission segment corresponding to the abnormal data and ensures the accuracy of the corresponding abnormal node.

[0079] At this time, the system first needs to determine the data transmission segments corresponding to the abnormal data; since the abnormal data and their corresponding data transmission segments have been marked previously (completed in step S151), the system directly locates these transmission segments; then, the system will conduct further detection on these transmission segments to determine the specific nodes causing the abnormality; this usually involves checking each node in the transmission path one by one to find the problematic nodes; at this time, the system quickly locates the data transmission segments corresponding to the abnormal data according to the previous marks; the system detects each node in the transmission segment, including checks on node performance, connection status, error logs, etc.; through the detection, the system determines the specific nodes causing the abnormality.

[0080] The system needs to trace the historical data and transmission records of the abnormal nodes; this usually involves analyzing the log files, performance monitoring data, transmission statistics, etc. of the abnormal nodes to understand the past performance and existing problems of the abnormal nodes; through tracing, the system obtains more information about the abnormal nodes, providing a basis for subsequent abnormal event identification and abnormal factor determination; at this time, the system collects the log files, performance monitoring data, etc. of the abnormal nodes; the system analyzes the collected data to find the performance patterns, error trends, etc. of the abnormal nodes; the system checks the transmission records of the abnormal nodes to understand its performance during data transmission.

[0081] Based on the historical data and transmission records of the traced abnormal nodes, the system identifies specific data transmission abnormal events; abnormal events include network congestion, equipment failure, data loss, etc.; the system needs to accurately identify the abnormal events according to the performance of the abnormal nodes and the characteristics of data transmission, combined with professional knowledge and experience; at this time, the system classifies the abnormal events according to the performance of the abnormal nodes and the characteristics of data transmission; the system uses methods such as pattern matching, statistical analysis, and machine learning to identify the abnormal events; the system confirms the identified abnormal events to ensure the accuracy of the results.

[0082] Based on the identified data transmission abnormal events, the system further determines the specific factors causing the abnormality; abnormal factors include equipment aging, configuration errors, network attacks, etc.; the system needs to deeply analyze the causes of the abnormal events, combined with information on the hardware, software, network, etc. of the abnormal nodes, to determine the specific factors causing the abnormality; at this time, the system deeply analyzes the abnormal events to find their root causes; the system uses methods such as fault tree analysis and root cause analysis to determine the abnormal factors.

[0083] Specifically, assume that in step S151, the system has marked that an anomaly occurred when a certain meteorological data data packet was transmitted to a certain relay node; now, the system locates the data transmission segment corresponding to the abnormal data and detects each node in this transmission segment; through the detection, the system finds that the performance of relay node A has significantly decreased and there are a large number of error logs; therefore, the system determines that relay node A is an abnormal node.

[0084] The system collects the log files, performance monitoring data, etc. of relay node A and analyzes them; through the analysis, the system finds that the performance of relay node A has gradually decreased and the number of error logs has gradually increased in the past period of time; at the same time, the system also checks the transmission records of relay node A and finds that there have been multiple data losses and delays during the data transmission process; based on the traced historical data and transmission records, the system identifies the data transmission abnormal events existing in relay node A as network congestion and equipment failure; network congestion causes the data transmission speed to slow down, while equipment failure causes data loss and delay; the system deeply analyzes the causes of the abnormal events, combines the information of relay node A in terms of hardware, software, network, etc., and determines that the specific factors leading to the anomaly are the performance degradation caused by equipment aging and the network congestion caused by incorrect network configuration.

[0085] Therefore, if there are multiple abnormal nodes, the third transmission coefficient is determined according to the relative positions of the multiple abnormal nodes and the abnormal factors of each abnormal node, the fourth transmission coefficient is determined according to the abnormal factors of each abnormal node and the data to be transmitted corresponding to each abnormal node, and the second data transmission method is determined based on the third transmission coefficient, the fourth transmission coefficient, and the abnormal transmission mapping relationship. At this time, the second data transmission method is different from the first data transmission method, and the execution process of the second data transmission method does not affect the execution process of the first data transmission method. The high-altitude balloon sounding device synchronously transmits the data to be transmitted along the second data transmission method, taking into account the overall consideration of the third transmission coefficient, the fourth transmission coefficient, and the abnormal transmission mapping relationship, ensuring the accuracy of the second data transmission method. At the same time, the first data transmission method and the second data transmission method are introduced, and the data to be transmitted corresponding to the abnormal node is transmitted along the second data transmission method, ensuring the synchronous progress of the first data transmission method and the second data transmission method, thereby improving the integrity and stability of the meteorological data transmission of the air balloon sounding device.

[0086] At this time, the system first confirms that there are multiple abnormal nodes, and has determined the specific locations of these abnormal nodes and the specific factors causing the abnormalities through the previous steps (such as S152); these abnormal nodes are located at different positions in the data transmission path, and the abnormal factors of each node are also different; at this time, the system confirms the existence of multiple abnormal nodes through monitoring and detection; the system determines the specific positions of each abnormal node in the data transmission path; the system conducts in-depth analysis on each abnormal node to determine its abnormal factors.

[0087] The system calculates a value called the third transmission coefficient based on the relative positions and abnormal factors of multiple abnormal nodes; this coefficient reflects the comprehensive impact of abnormal nodes on network transmission performance, including factors such as their positions, quantities, and the severity of abnormal factors; at this time, the system uses a specific algorithm or model to input parameters such as the positions, quantities, and abnormal factors of abnormal nodes, and calculates the third transmission coefficient; the magnitude of the third transmission coefficient depends on the relative positions of abnormal nodes (such as whether they are close to the data source or the receiving end), quantities, and the severity of abnormal factors (such as the degree of equipment failure, the level of network congestion, etc.).

[0088] The system calculates a value called the fourth transmission coefficient based on the abnormal factors of each abnormal node and the data to be transmitted corresponding to them; this coefficient reflects the degree of influence of abnormal nodes on the data to be transmitted, including factors such as the importance, size, and transmission requirements of the data; at this time, the system analyzes the data to be transmitted corresponding to each abnormal node, including the importance, size, and transmission speed requirements of the data; the system uses a specific algorithm or model to input parameters such as abnormal factors and data characteristics, and calculates the fourth transmission coefficient; the magnitude of the fourth transmission coefficient depends on the importance of the data to be transmitted (such as whether it is urgent, whether it is critical), size (such as whether the data volume is large), and transmission requirements (such as real-time, reliability, etc.).

[0089] The system determines a second data transmission method different from the first data transmission method based on the third transmission coefficient, the fourth transmission coefficient, and a predefined abnormal transmission mapping relationship; this second data transmission method aims to bypass or mitigate the impact of abnormal nodes to ensure reliable data transmission; at this time, the system has a predefined abnormal transmission mapping relationship for selecting the most suitable data transmission method according to the values of the third and fourth transmission coefficients; the system finds the corresponding second data transmission method in the mapping relationship according to the calculated third and fourth transmission coefficients; the system needs to verify the selected second data transmission method to ensure that it can bypass or mitigate the impact of abnormal nodes and meet the requirements of data transmission.

[0090] The system starts the second data transmission mode without affecting the execution process of the first data transmission mode, and synchronously transmits the data to be transmitted along this mode; this ensures that the data can be reliably transmitted to the destination even in the presence of multiple abnormal nodes; at this time, the system smoothly switches to the second data transmission mode without affecting the first data transmission mode; the system ensures synchronous data transmission between the first and second data transmission modes, avoiding data loss or duplication; the system continues to monitor the data transmission process and adjusts the transmission strategy or feedbacks abnormal information as needed.

[0091] Specifically, assume that during the data transmission process, the system detects three abnormal nodes A, B, and C, which are located at different positions on the data transmission path respectively, and the abnormal factors of each node are also different (such as A is a device failure, B is network congestion, and C is data loss); through monitoring and detection, the system confirms these three abnormal nodes and their specific positions and abnormal factors; the system calculates a third transmission coefficient using a specific algorithm based on the relative positions and abnormal factors (device failure, network congestion, data loss) of the abnormal nodes A, B, and C; this coefficient reflects the comprehensive impact of these abnormal nodes on the network transmission performance.

[0092] The system analyzes the data to be transmitted corresponding to each abnormal node (such as the importance, size, transmission speed requirements, etc. of the data), and calculates a fourth transmission coefficient using a specific algorithm; this coefficient reflects the degree of influence of the abnormal node on the data to be transmitted; based on the calculated third and fourth transmission coefficients, and the predefined abnormal transmission mapping relationship, the system determines a second data transmission mode different from the first data transmission mode; this mode is designed to bypass or mitigate the influence of the abnormal nodes A, B, and C; the system starts the second data transmission mode without affecting the execution process of the first data transmission mode, and synchronously transmits the data to be transmitted along this mode; this ensures that the data can bypass the abnormal nodes A, B, and C and be reliably transmitted to the destination; at the same time, the system continues to monitor the data transmission process and adjusts the transmission strategy or feedbacks abnormal information as needed.

[0093] Specifically, collect the second data transmission mode matching table, and the second data transmission mode matching table is shown in Table VI as follows: Table VI Second Data Transmission Mode Matching Table Third transmission coefficient range Fourth transmission coefficient range Second data transmission method 0-0.3 0-0.3 Method A 0-0.3 0.3-0.7 Method B 0.3-0.7 0-0.3 Method C 0.3-0.7 0.3-0.7 Method D 0.7-1.0 Any value Method E Any value 0.7-1.0 Method F Assume that the system detects three abnormal nodes, and the calculated third transmission coefficient is 0.5 and the fourth transmission coefficient is 0.6; according to the abnormal transmission mapping relationship table, the system selects the second data transmission mode as Mode D.

[0094] Please refer to Figure 7 , Figure 7It is a schematic structural diagram of a meteorological data transmission system of a high-altitude balloon sounding device in an embodiment of the present invention; the meteorological data transmission system of the high-altitude balloon sounding device includes: An acquisition module 21, configured to acquire a plurality of environmental parameters at the peripheral position of the high-altitude balloon sounding device; A meteorological detection mode module 22, configured to determine the environmental type where the high-altitude balloon sounding device is located according to a plurality of environmental parameters, and determine the meteorological detection mode of the high-altitude balloon sounding device based on the environmental type and the form of the high-altitude balloon sounding device; A meteorological dynamic map module 23, configured to collect a plurality of meteorological data in real time along the meteorological detection mode by the high-altitude balloon sounding device, and determine a corresponding meteorological dynamic map based on the plurality of meteorological data, the corresponding azimuth position, and the peripheral environment image of the high-altitude balloon sounding device; A first data transmission module 24, configured to form a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding plurality of meteorological data, determine a first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon sounding device, and mark the data transmission path of the first data transmission method; A second data transmission module 25, configured to, if there is an abnormal state in the data transmission path, determine a second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission method.

[0095] Arbitrary combinations of the technical features of the above embodiments are made. For the sake of brevity of description, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combinations of these technical features, they should all be considered to be within the scope described in this specification.

Claims

1. A method for transmitting meteorological data of a high-altitude balloon radiosonde, characterized in that, Including: Collecting multiple environmental parameters at the peripheral positions of a high-altitude balloon radiosonde; Determining the environmental type in which the high-altitude balloon radiosonde is located according to the multiple environmental parameters, and determining the meteorological detection mode of the high-altitude balloon radiosonde based on the environmental type and the form of the high-altitude balloon radiosonde; The high-altitude balloon radiosonde collects multiple meteorological data in real time along the meteorological detection mode, and determines the corresponding meteorological dynamic map based on the multiple meteorological data, the corresponding azimuth position, and the peripheral environmental image of the high-altitude balloon radiosonde; Forming a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding multiple meteorological data, determining the first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and marking the data transmission path of the first data transmission method; If there is an abnormal state in the data transmission path, determine the second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission method.

2. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 1, characterized in that, The collecting multiple environmental parameters at the peripheral positions of the high-altitude balloon radiosonde includes: Collecting the current position of the high-altitude balloon radiosonde, determining the peripheral position of the high-altitude balloon radiosonde according to the current position and form of the high-altitude balloon radiosonde, and triggering the corresponding environmental detection according to the peripheral position of the high-altitude balloon radiosonde; In the environmental detection at the peripheral position of the high-altitude balloon radiosonde, setting corresponding detection directions along different directions of the high-altitude balloon radiosonde; Determining the corresponding environmental parameters according to the detection direction and the detection end of the high-altitude balloon radiosonde, so as to determine multiple environmental parameters at the peripheral position of the high-altitude balloon radiosonde, and marking the positions of the multiple environmental parameters.

3. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 1, characterized in that, The determining the environmental type in which the high-altitude balloon radiosonde is located according to the multiple environmental parameters, and determining the meteorological detection mode of the high-altitude balloon radiosonde based on the environmental type and the form of the high-altitude balloon radiosonde includes: Determining multiple environmental parameter combinations according to the multiple environmental parameters and the corresponding positions, determining the corresponding environmental characteristics according to the recognition of the multiple environmental parameter combinations, and determining the environmental type in which the high-altitude balloon radiosonde is located based on the multiple environmental characteristics, the position of the high-altitude balloon radiosonde, and the azimuth of the multiple environmental characteristics relative to the high-altitude balloon radiosonde; Determining the form of the high-altitude balloon radiosonde based on the detection of the high-altitude balloon radiosonde, and determining the first mode coefficient according to the form of the high-altitude balloon radiosonde and the position of the high-altitude balloon radiosonde; Determining the second mode coefficient according to the form of the high-altitude balloon radiosonde and the environmental type; determining the meteorological detection mode of the high-altitude balloon radiosonde based on the first mode coefficient, the second mode coefficient, and the meteorological detection mode mapping relationship, and the meteorological detection mode includes the radiosonde meteorological detection mode, the radar meteorological detection mode, and the unmanned aerial vehicle meteorological detection mode.

4. The meteorological data transmission method of the high-altitude balloon sounding instrument according to claim 1, characterized in that, The high-altitude balloon radiosonde collects multiple meteorological data in real time along the meteorological detection mode, and determines the corresponding meteorological dynamic map based on the multiple meteorological data, the corresponding azimuth position, and the peripheral environmental image of the high-altitude balloon radiosonde, including: Trigger the meteorological detection of the high-altitude balloon radiosonde along this meteorological detection mode, collect multiple meteorological data in real time, determine the corresponding meteorological data combination according to the combination of multiple meteorological data, and each meteorological data combination matches the corresponding meteorological dimension type.

5. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 4, characterized in that, The high-altitude balloon radiosonde collects multiple meteorological data in real time along this meteorological detection mode, and determines the corresponding meteorological dynamic map based on multiple meteorological data, the corresponding azimuth position, and the surrounding environment image of the high-altitude balloon radiosonde. It also includes: Respond to the peripheral camera of the high-altitude balloon radiosonde, determine the surrounding environment image of the high-altitude balloon radiosonde according to the dynamic shooting of the peripheral camera, and determine the first meteorological distribution map according to the surrounding environment image of the high-altitude balloon radiosonde and multiple meteorological data combinations; Determine the second meteorological distribution map according to multiple meteorological data combinations and the corresponding azimuth position, and determine the corresponding meteorological dynamic map based on the synthesis of the first meteorological distribution map and the second meteorological distribution map.

6. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 1, characterized in that, Form the corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding multiple meteorological data, determine the first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and mark the data transmission path of the first data transmission method, including: Collect multiple meteorological data, and associate the meteorological dynamic map with the corresponding multiple meteorological data. At this time, integrate the meteorological dynamic map and the corresponding multiple meteorological data into the same data space of the high-altitude balloon radiosonde, and perform data packet control on this data space to form the corresponding meteorological data data packet.

7. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 6, characterized in that, Form the corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding multiple meteorological data, determine the first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and mark the data transmission path of the first data transmission method. It also includes: Determine the data volume of the meteorological data data packet based on the detection of the meteorological data data packet, determine the first transmission coefficient according to the data volume of the meteorological data data packet and the position of the high-altitude balloon radiosonde, and determine the second transmission coefficient according to the data volume of the meteorological data data packet and the type of environment where the high-altitude balloon radiosonde is located; Determine the first data transmission method according to the mapping relationship of the first transmission coefficient, the second transmission coefficient, and the transmission method, trigger the online data transmission of the high-altitude balloon radiosonde based on the first data transmission method, and determine the data transmission path of the first data transmission method based on the high-altitude balloon radiosonde and the data receiving station.

8. The meteorological data transmission method of the high-altitude balloon sounding instrument according to claim 1, characterized in that, If there is an abnormal state in the data transmission path, then determine the second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and perform synchronous transmission of the data to be transmitted along the second data transmission method, including: Monitor the data transmission process along the data transmission path in real time, and collect the transmission progress of each data in the meteorological data data packet. If the transmission progress of this data is less than the preset transmission progress threshold, then locate this data as abnormal data, and mark the data transmission segment corresponding to this abnormal data as an abnormal state, so that there is an abnormal state in the data transmission path; Determine the corresponding abnormal node based on the detection of the data transmission segment corresponding to the abnormal data, determine the data transmission abnormal event based on the traceability of the abnormal node, and determine the abnormal factor of the abnormal node based on the identification of the data transmission abnormal event.

9. The meteorological data transmission method of the high-altitude balloon radiosonde according to claim 8, characterized in that, If there is an abnormal state in the data transmission path, then determine the second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission method. It further includes: If there are multiple abnormal nodes, then determine the third transmission coefficient according to the relative positions of the multiple abnormal nodes and the abnormal factors of each abnormal node, determine the fourth transmission coefficient according to the abnormal factors of each abnormal node and the data to be transmitted corresponding to each abnormal node, and determine the second data transmission method based on the third transmission coefficient, the fourth transmission coefficient and the abnormal transmission mapping relationship. At this time, the second data transmission method is different from the first data transmission method, and the execution process of the first data transmission method is not affected during the execution process of the second data transmission method. The high-altitude balloon sounding instrument synchronously transmits the data to be transmitted along the second data transmission method.

10. A meteorological data transmission system for a high-altitude balloon radiosonde, characterized in that, The meteorological data transmission system of the high-altitude balloon sounding instrument is applied to the meteorological data transmission method of the high-altitude balloon sounding instrument as described in any one of claims 1-9. The meteorological data transmission system of the high-altitude balloon sounding instrument includes: An acquisition module, configured to acquire a plurality of environmental parameters of the surrounding position of the high-altitude balloon sounding instrument; A meteorological detection mode module, configured to determine the environmental type where the high-altitude balloon sounding instrument is located according to the plurality of environmental parameters, and determine the meteorological detection mode of the high-altitude balloon sounding instrument based on the environmental type and the form of the high-altitude balloon sounding instrument; A meteorological dynamic map module, configured to enable the high-altitude balloon sounding instrument to collect a plurality of meteorological data in real time along the meteorological detection mode, and determine the corresponding meteorological dynamic map based on the plurality of meteorological data, the corresponding azimuth position and the surrounding environment image of the high-altitude balloon sounding instrument; A first data transmission module, configured to form a corresponding meteorological data data packet based on the meteorological dynamic map and the corresponding plurality of meteorological data, determine the first data transmission method according to the data volume of the meteorological data data packet and the position of the high-altitude balloon sounding instrument, and mark the data transmission path of the first data transmission method; A second data transmission module, configured to, if there is an abnormal state in the data transmission path, determine the second data transmission method according to the abnormal factor of the abnormal node in the data transmission path and the data to be transmitted corresponding to the abnormal node, and synchronously transmit the data to be transmitted along the second data transmission method.

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