A shipborne automatic weather station

Abstract

The shipborne automatic weather station provided in this application includes a weather station and a forecasting center that communicate with each other. The forecasting center is used for weather forecasting. By acquiring the weather data packet to be analyzed and the corresponding supplementary comparison information, it determines the first similarity between the weather data packet to be analyzed and the reference warning weather data packet, and then determines the second similarity between the weather data packet to be analyzed and each reference warning weather data packet. Based on the first and second similarities, it determines the target reference warning weather data packet corresponding to the weather data packet to be analyzed, issues the corresponding weather warning type as the analysis result, and stores the weather data packet to be analyzed, thus constructing a correspondence between the weather data packet to be analyzed and the weather warning type. This application adopts a method of pre-constructing a correspondence between weather data packets and weather warning types, and through multiple similarity judgment strategies, it quickly and accurately analyzes weather data and predicts weather types.

Description

Technical Field

[0001] This application relates to the field of meteorological forecasting, and more specifically, to a shipborne automatic weather station. Background Technology

[0002] Shipborne automatic weather station observation systems are meteorological observation systems that use ships as their working platform. They can perform real-time observations of marine meteorological elements such as temperature, air pressure, humidity, wind speed, wind direction, rainfall, and visibility. Currently, when using meteorological data collected by shipborne weather stations for rapid weather forecasting, analyzing the massive amounts of meteorological data requires high-powered computing centers, resulting in poor local forecasting capabilities and consequently, insufficient accuracy and efficiency in forecasting. Summary of the Invention

[0003] To address the aforementioned issues, this application provides a shipborne automatic weather station.

[0004] The technical solution adopted in the embodiments of this application is as follows:

[0005] In a first aspect, embodiments of this application provide a shipborne automatic weather station, including a weather station and a forecasting center. The weather station is equipped with weather sensors and a communication device. The weather sensors are configured to sense weather data and transmit the sensed weather data to the forecasting center via the communication device. The forecasting center includes computer equipment, which includes a processor and a memory that communicate with each other. The processor is used to retrieve a computer program from the memory and execute the computer program to implement the following weather forecasting process:

[0006] Obtain the meteorological data packet to be analyzed and the corresponding supplementary comparison information. The supplementary comparison information includes the data acquisition time of the meteorological data packet to be analyzed and the coordinate data of the target meteorological station of the meteorological data packet to be analyzed.

[0007] Determine the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set;

[0008] Based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of each reference early warning meteorological data package, the second similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package is determined. The second similarity represents the similarity between the meteorological data packages in terms of both meteorological data analysis results and meteorological environment.

[0009] Based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed is determined;

[0010] The meteorological warning type corresponding to the target reference early warning meteorological data package is used as the meteorological warning type of the meteorological data package to be analyzed, and an early warning is issued;

[0011] If the meteorological data packet to be analyzed corresponds to a reference early warning meteorological data packet, the meteorological data packet to be analyzed is used as a new reference early warning meteorological data packet and stored in the reference early warning meteorological data packet set, and the correspondence between the meteorological data packet to be analyzed and the corresponding meteorological warning type is constructed.

[0012] Further, the step of determining the second similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package, based on supplementary comparison information and meteorological environment reference supplementary comparison information for each reference early warning meteorological data package, includes:

[0013] For each reference warning meteorological data package, based on supplementary comparison information and meteorological environment reference supplementary comparison information of the reference warning meteorological data package, supplementary comparison features between the meteorological data package to be analyzed and the reference warning meteorological data package are determined;

[0014] Among them, the supplementary comparison features represent the relationship between the data acquisition time and weather station of the meteorological data package to be analyzed and the reference early warning meteorological data package;

[0015] For each reference warning meteorological data package, based on the meteorological data analysis results of the meteorological data package to be analyzed and the reference warning meteorological data package, the meteorological data characteristics of the meteorological data package to be analyzed and the reference warning meteorological data package are determined;

[0016] For each reference warning meteorological data package, a second similarity between the meteorological data package to be analyzed and the reference warning meteorological data package is determined based on supplementary comparative features and meteorological data features between the meteorological data package to be analyzed and the reference warning meteorological data package.

[0017] Furthermore, the supplementary comparative features include at least one or more of the following: the distance between the target meteorological station and the reference meteorological station that acquired the reference early warning meteorological data package; the time interval between the acquisition times of the meteorological data package to be analyzed and the reference early warning meteorological data package; the migration rate of the observed target in the meteorological data package to be analyzed; the migration rate of the observed target in the reference early warning meteorological data package; and the mobility degree between the target meteorological station and the reference meteorological station. The mobility degree represents the probability that the observed target in the meteorological data package to be analyzed will migrate from the monitoring space of the target meteorological station to the monitoring space of the reference meteorological station.

[0018] The meteorological data features include the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package, the preset meteorological type data of the meteorological data package to be analyzed, and one or more of the preset meteorological type data of the reference early warning meteorological data package. The preset meteorological type data includes at least temperature, humidity, wind direction, wind speed, air pressure, and visibility.

[0019] Further, based on the first and second similarities between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed is determined, including:

[0020] For each reference early warning meteorological data packet, if the first similarity between the meteorological data packet to be analyzed and the reference early warning meteorological data packet is greater than the first preset value, then the reference early warning meteorological data packet is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0021] For each reference warning weather data package, if the first similarity between the weather data package to be analyzed and the reference warning weather data package is less than the second preset value, then the next reference warning weather data package is compared, wherein the second preset value is less than the first preset value.

[0022] For each reference warning meteorological data package, if the first similarity between the meteorological data package to be analyzed and the reference warning meteorological data package is less than the first preset value and greater than the second preset value, then if the second similarity between the meteorological data package to be analyzed and the reference warning meteorological data package is greater than the third preset value, then the reference warning meteorological data package is determined as the target reference warning meteorological data package corresponding to the meteorological data package to be analyzed.

[0023] Further, the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set is determined, and based on supplementary comparison information and meteorological environment reference supplementary comparison information of each reference early warning meteorological data package, the second similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package is determined, including:

[0024] For a subset of reference early warning meteorological data packets, the first similarity between the meteorological data packet to be analyzed and the representative reference early warning meteorological data packet of the subset of reference early warning meteorological data packets is determined, and is used as the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the subset of reference early warning meteorological data packets. The subset of reference early warning meteorological data packets is a set of meteorological data packets with representative reference early warning meteorological data packets.

[0025] For a subset of reference warning meteorological data packets, based on supplementary comparison information and meteorological environment reference supplementary comparison information of representative reference warning meteorological data packets of the subset of reference warning meteorological data packets, the second similarity between the meteorological data packet to be analyzed and the representative reference warning meteorological data packet of the subset of reference warning meteorological data packets is determined, and used as the second similarity between the meteorological data packet to be analyzed and each reference warning meteorological data packet of the subset of reference warning meteorological data packets.

[0026] The meteorological data packets to be analyzed are used as new reference early warning meteorological data packets and stored in the reference early warning meteorological data packet set. A correspondence is then established between the meteorological data packets to be analyzed and their corresponding meteorological warning types, including:

[0027] Determine the representative parameters of the meteorological data package to be analyzed;

[0028] When the meteorological data set containing the target reference early warning meteorological data package has a representative reference early warning meteorological data package, and the data representativeness parameter of the meteorological data package to be analyzed is higher than that of the representative reference early warning meteorological data package, the representative reference early warning meteorological data package is updated to the meteorological data package to be analyzed, and the corresponding supplementary comparison information is stored.

[0029] When the meteorological data set containing the target reference early warning meteorological data package does not contain a representative reference early warning meteorological data package, and the data representativeness parameter of the meteorological data package to be analyzed is higher than the preset data representativeness parameter threshold, the meteorological data package to be analyzed will be used as the representative reference early warning meteorological data package of the meteorological data package set containing the target reference early warning meteorological data package, and the corresponding supplementary comparison information will be stored.

[0030] Otherwise, the meteorological data packet to be analyzed is treated as a reference early warning meteorological data packet belonging to the same set as the target reference early warning meteorological data packet, and stored in the corresponding reference early warning meteorological data packet set along with supplementary comparison information.

[0031] Further, based on the first and second similarities between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed is determined, including:

[0032] If, based on the first and second similarities between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, multiple original reference early warning meteorological data packets corresponding to the meteorological data packet to be analyzed are determined, the original reference early warning meteorological data packet with the largest first or second similarity to the meteorological data packet to be analyzed is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0033] Furthermore, the reference early warning meteorological data package set includes a first reference early warning meteorological data package set and a second reference early warning meteorological data package set. The observation targets included in the reference early warning meteorological data packages in the first reference early warning meteorological data package set are deterministic observation targets, while the observation targets included in the reference early warning meteorological data packages in the second reference early warning meteorological data package set are indeterminate observation targets. Multiple original reference early warning meteorological data packages include the reference early warning meteorological data packages in the first reference early warning meteorological data package set.

[0034] The original reference early warning meteorological data package with the highest first or second similarity to the meteorological data package to be analyzed is identified as the target reference early warning meteorological data package corresponding to the meteorological data package to be analyzed, including:

[0035] Identify each of the first reference early warning meteorological data packets belonging to the first reference early warning meteorological data packet set from among multiple original reference early warning meteorological data packets;

[0036] The first reference early warning meteorological data packet with the highest first or second similarity to the meteorological data packet to be analyzed is identified as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0037] In addition, the process also includes:

[0038] The subsets of reference warning meteorological data packets belonging to each reference warning meteorological data packet other than the target reference warning meteorological data packet in the multiple original reference warning meteorological data packets are merged with the set of meteorological data packets to which the target reference warning meteorological data packet belongs, and the correspondence between each reference warning meteorological data packet in the subset of reference warning meteorological data packets and the meteorological warning type corresponding to the pre-stored target reference warning meteorological data packet is constructed.

[0039] Furthermore, before determining the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set, the process also includes:

[0040] The data verification information for the meteorological data package to be analyzed is confirmed. The data verification information includes one or more of the following: data continuity, data integrity, data density, and equipment self-test results.

[0041] When the data verification information meets the preset requirements, the step of determining the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the reference early warning meteorological data packet set is performed.

[0042] Furthermore, obtain the meteorological data packet to be analyzed and the corresponding supplementary comparison information, including:

[0043] Obtain the meteorological data packets to be analyzed sent by the target meteorological station and the corresponding supplementary comparison information;

[0044] Alternatively, it can acquire the meteorological data packets to be analyzed sent by the target meteorological station, the data acquisition time of the meteorological data packets to be analyzed, and the station information of the target meteorological station. Based on the station information, it can determine the coordinate data of the target meteorological station and obtain supplementary comparison information of the meteorological data packets to be analyzed.

[0045] Furthermore, the weather station also includes a sensor system, a data acquisition system, a communication system, a power supply system, a navigation and positioning system, and an installation structure system. The sensor system includes a temperature sensor, a humidity sensor, a barometric pressure sensor, a wind direction sensor, a wind speed sensor, a visibility sensor, and a precipitation sensor. The data acquisition system includes a Cortex-A7 core board and an embedded software system. The communication system includes local communication equipment and remote communication equipment. The power supply system includes an AC power controller, a battery, and solar panels. The navigation and positioning system consists of a positioning and orientation host and an antenna feeder. The installation structure system includes an integrated floor-standing chassis and a sensor mounting arm assembly.

[0046] Secondly, embodiments of this application also provide a weather forecasting method, including:

[0047] Obtain the meteorological data packet to be analyzed and the corresponding supplementary comparison information. The supplementary comparison information includes the data acquisition time of the meteorological data packet to be analyzed and the coordinate data of the target meteorological station of the meteorological data packet to be analyzed.

[0048] Determine the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set;

[0049] Based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of each reference early warning meteorological data package, the second similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package is determined. The second similarity represents the similarity between the meteorological data packages in terms of both meteorological data analysis results and meteorological environment.

[0050] Based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed is determined;

[0051] The meteorological warning type corresponding to the target reference early warning meteorological data package is used as the meteorological warning type of the meteorological data package to be analyzed, and an early warning is issued;

[0052] If the meteorological data packet to be analyzed corresponds to a reference early warning meteorological data packet, the meteorological data packet to be analyzed is used as a new reference early warning meteorological data packet and stored in the reference early warning meteorological data packet set, and the correspondence between the meteorological data packet to be analyzed and the corresponding meteorological warning type is constructed.

[0053] The shipborne automatic weather station provided in this application includes a weather station and a forecasting center that communicate with each other. The forecasting center is used for weather forecasting. By acquiring the weather data packet to be analyzed and the corresponding supplementary comparison information, it determines the first similarity between the weather data packet to be analyzed and each reference warning weather data packet in the reference warning weather data packet set. Based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of each reference warning weather data packet, it determines the second similarity between the weather data packet to be analyzed and each reference warning weather data packet. Based on the first and second similarities between the weather data packet to be analyzed and each reference warning weather data packet in the reference warning weather data packet set, it determines the target reference warning weather data packet corresponding to the weather data packet to be analyzed. The weather warning type corresponding to the target reference warning weather data packet is used as the weather warning type of the weather data packet to be analyzed, and a warning is issued. The weather data packet to be analyzed is stored as a new reference warning weather data packet in the reference warning weather data packet set, thus constructing a correspondence between the weather data packet to be analyzed and the corresponding weather warning type. By adopting a method of pre-constructing the correspondence between weather data packets and weather warning types, and through multiple similarity judgment strategies, it can quickly and accurately analyze meteorological data and predict the weather type.

[0054] Other features will be described in part in the following description. These features will be partially discovered by those skilled in the art upon examination of the following content and figures, or may be learned through production or application. The features of the present application can be implemented and obtained by practice or use of various aspects of the methods, tools, and combinations listed in the detailed examples described below. Attached Figure Description

[0055] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0056] The methods, systems, and / or procedures shown in the accompanying drawings will be further described with reference to exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments, wherein example figures represent similar mechanisms in the various views of the drawings.

[0057] Figure 1 This is a schematic diagram of the composition of the shipborne automatic weather station provided in the embodiments of this application.

[0058] Figure 2 This is a schematic diagram of the composition of a weather station provided in an embodiment of this application.

[0059] Figure 3 This is a schematic diagram of the composition of the embedded software system provided in the embodiments of this application.

[0060] Figure 4 This is a flowchart of the overall process of the embedded software system provided in the embodiments of this application.

[0061] Figure 5 This is a schematic diagram of the wind direction and ship wind provided in the embodiments of this application.

[0062] Figure 6 and Figure 7 This is a schematic diagram of the meteorological station installation structure system provided in the embodiments of this application.

[0063] Figure 8 This is a block diagram of the computer device for the prediction center provided in an embodiment of this application.

[0064] Figure 9 This is a flowchart of the weather forecasting method provided in the embodiments of this application.

[0065] Figure 10 This is a schematic diagram of the functional module architecture of the weather forecasting device provided in the embodiments of this application. Detailed Implementation

[0066] This section will describe exemplary embodiments in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0067] It should be noted that the terms "first," "second," etc., in the specification, claims, and drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0068] like Figure 1The diagram shown is a schematic representation of the composition of a shipborne automatic weather station 10 according to an embodiment of this application. The shipborne automatic weather station 10 includes a weather station 300 and a forecasting center 100. It should be noted that the shipborne automatic weather station 10 provided in this embodiment can be understood as a weather station system, including the weather station 10 for collecting meteorological data and the forecasting center 100 for analyzing the meteorological data and making weather forecasts. The weather station 300 includes meteorological sensors 310 and a communication device 320. The meteorological sensors 310 are configured to sense meteorological data and transmit the sensed meteorological data to the forecasting center 100 via the communication device 320. Since the various meteorological sensors 310 installed in the weather station 300 are existing technologies, such as wind speed sensors, temperature sensors, humidity sensors, and image sensors, this application will not elaborate on them. The communication device 320 can be adapted from existing communication devices according to the communication distance and communication environment.

[0069] Please refer to Figure 2 In one implementation, the weather station 300 includes a sensor system 330, a data acquisition system 340, a communication system 350, a power supply system 360, a navigation and positioning system 370, and an installation structure system 380. It should be noted that the sensor system 330 is equipped with various meteorological sensors, which are existing technologies. Examples include temperature sensors, humidity sensors, wind direction and speed sensors, air pressure sensors, rainfall sensors, and visibility sensors. This application will not elaborate on these. The sensor system 330 is configured to sense meteorological environmental variables.

[0070] like Figure 3 As shown, the data acquisition system 340 includes an embedded software system. The embedded software system runs on a Cortex-A7 core board with an embedded Linux-3.14.38 operating system. The overall workflow of the embedded software system is as follows: Figure 4As shown, the embedded system, from power-on, includes several parts: system resource initialization, system parameter processing, sampling timing of each channel, minute and hour task processing, and file processing. Data acquisition includes data acquisition from analog channels, digital channels, smart sensors, and CAN bus sub-acquisition units. Analog channel acquisition includes the acquisition control of resistance channels, differential channels, single-ended channels, and current channels, with a sampling timing of 1 time / second for all analog channels. Digital channel acquisition includes high-frequency sampling channels and low-frequency sampling channels, with a maximum sampling timing of 4 times / second. The sampling timing of the smart sensor channels depends on the operating characteristics of the smart sensors, ranging from 1 time / second to 1 time / hour. The sampling timing of the CAN bus sub-acquisition units depends on the design parameters of different PDO packets for different sub-acquisition units, ranging from 1 time / 250 milliseconds to 1 time / minute. Data processing methods include algorithm processing, quality control processing, extreme value processing, and status processing. Based on the channel configuration, targeted algorithm processing is applied to the sampling data for each channel. This algorithm processing includes arithmetic mean, moving average, cumulative, radiation, vapor pressure, dew point temperature, and sea level pressure algorithms. Quality control processing includes upper and lower limits, questionable change rate, error change rate, and minimum change rate over sixty minutes. Extreme value processing includes maximum, minimum, maximum wind speed, and maximum wind speed processing. Status processing includes monitoring motherboard temperature, motherboard voltage, and communication status.

[0071] A real wind algorithm is designed in the computation layer of the embedded software system. The apparent wind is the vector sum of the real wind and the ship's wind. The ship's wind is the wind caused by the ship's movement, with its direction opposite to its course and its speed equal to its speed. Therefore, the formula for calculating the real wind is:

[0072] W T =W V -W S

[0073] In the formula: W T True wind vector; W V : Apparent wind vector; W S : Ship wind vector.

[0074] according to Figure 5 Given the apparent wind and ship wind conditions, the true wind direction and true wind speed can be calculated using the following example method:

[0075] Y = 90 - D

[0076] a = S * (cos Y)

[0077] b' = S*(sin Y)

[0078] b = b' - SS

[0079]

[0080] TD = 90 - arctg(b / a) + SH

[0081] =90-arctg{[S*(sin90-D)-SS] / S*(cos90-D)}+SH

[0082] In the formula:

[0083] TS - True Wind Speed;

[0084] TD – True Wind Direction;

[0085] S – Visual wind speed;

[0086] D – Depending on wind direction;

[0087] SS – Speed;

[0088] SH – Direction.

[0089] The navigation and positioning system 370 outputs information such as the ship's heading, speed, position, and UTC time. This information, along with wind sampling data, is used to perform real-time real-wind calculations during the sampling phase to minimize the lag in real-wind data. Through comparison with data from the inertial navigation system and extensive field dynamic testing and algorithm optimization, the final output real-wind monitoring data meets the requirements of dynamic usage environments.

[0090] The communication system 350 includes a Beidou communication terminal 301 and a local communication device 302. It can be adapted to existing communication devices according to the communication distance and communication environment. The communication system is configured for data communication between the data acquisition system and the local shipborne data display terminal and the remote data monitoring center.

[0091] The power supply system 360 includes an AC power controller 401, a battery 402, and a solar panel 403. It can be adapted to existing power supply devices according to power supply capacity and environment. The power supply system 360 provides power to the sensor system 330, the data acquisition system 340, the communication system 350, and the navigation and positioning system 370.

[0092] The Navigation and Positioning System 370 provides information such as ship positioning and speed. It is a portable BeiDou positioning and orientation device with a built-in dual-system quad-frequency board (GPS L1, L2 + BDS B1, B3), enabling independent positioning and orientation using BeiDou 2 satellites. By utilizing signals from four frequency bands—GPS L1, L2, and BeiDou B1, B3—and fusing heading calculation algorithms, it accurately calculates the antenna's position and the angle between the line connecting the phase centers of the two antennas and true north. Simultaneously, it receives differential data links from ground reference stations, achieving real-time carrier phase differential positioning.

[0093] Mounting structure system 380 is used for the installation of sensor system 330, data acquisition system 340, communication system 350, power supply system 360, and navigation and positioning system 370. Please refer to... Figure 6 and Figure 7 The shipborne automatic weather station installation structure system consists of an integrated floor-mounted chassis 1 and a sensor mounting arm assembly 4. The main body is the integrated floor-mounted chassis 1, which houses a barometric pressure sensor, data acquisition system, local communication equipment, AC power supply, battery, and navigation and positioning system. The sensor arm assembly 4 is mounted above the cable protection cover 9 of the integrated floor-mounted chassis. The sensor arm assembly 4 is equipped with a navigation and positioning antenna 3, a temperature and humidity ventilation cover (containing a temperature and humidity sensor) 2, a Beidou communication terminal 5, a public network mobile communication antenna 6, a visibility sensor 7, and a wind direction and speed sensor 8. Rainfall sensor brackets 11 and rainfall sensors 10 are mounted on the side of the integrated floor-mounted chassis 1. The various sensors of the shipborne automatic weather station collect meteorological data around the waterway during the ship's navigation. This data is connected to the data acquisition system in the integrated floor-mounted chassis 1 via sensor cables. The data output from the data acquisition system is transmitted to a remote data processing center and a shipborne data display terminal via the Beidou communication terminal 5 and the public network mobile communication antenna 6 on the sensor arm 4. All sensor cables are routed inside the sensor arm 4, exiting directly into the cable protection cover 9 of the chassis at the middle outlet of the sensor arm 4, and then passing through the waterproof lock head of the cable protection cover 9 into the integrated floor-standing chassis 1. Throughout the entire process, the cables are not exposed, effectively protecting them from wind, sun, and rain, extending their service life, and thus improving system reliability. Over 98% of the structural components of the installation system are made of high-strength 316L stainless steel.

[0094] Forecasting Center 100 includes computer equipment, which can be electronic devices with data processing modules, such as servers and personal computers. Please refer to [reference needed]. Figure 8 This is a block diagram of a computer device 100 provided in an embodiment of this application. The computer device 100 includes a processor 120 and a memory 130 that communicate with each other, as well as a communication unit 160 for communicating with a weather station 300.

[0095] The processor 120, memory 130, and communication unit 160 are electrically connected directly or indirectly to each other to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more I / O interfaces 150 or signal lines. The weather forecasting device 110 includes at least one software function module that can be stored in the memory 130 or embedded in the operating system in the form of software or firmware. The processor 120 is used to execute the executable modules stored in the memory 130, such as the software function modules and computer programs included in the weather forecasting device 110, to analyze the meteorological data provided by the weather station 300 and make weather forecasts.

[0096] Processor 120 may be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), or a Digital Signal Processor (DSP). It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. Furthermore, the general-purpose processor can be a microprocessor.

[0097] The memory 130 can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 130 stores programs, which are executed by the processor 120 upon receiving execution instructions. The communication unit 160 establishes a communication connection between the computer device 100 and the weather station 300, and transmits and receives data via a network.

[0098] Understandable. Figure 1 and Figure 8 The structure shown is for illustrative purposes only; each device may include components similar to those in Figure 1 or... Figure 8 The more or fewer components shown, or having the same Figure 1 or Figure 8 The different configurations shown. Figure 8 The components shown can be implemented using hardware, software, or a combination thereof.

[0099] Please refer to Figure 9 When the processor 120 executes the software function modules and computer programs included in the weather forecasting device 110 to make weather forecasts, the following processes 210-260 are included. The steps of each process will be explained below.

[0100] Step 210: Obtain the meteorological data package to be analyzed and the corresponding supplementary comparison information.

[0101] The supplementary comparison information includes the data acquisition time of the meteorological data package to be analyzed and the coordinate data of the target meteorological station from which the meteorological data package was acquired. The data acquisition time is the moment when the meteorological station collects data through sensors; this can be obtained by adding a timestamp to the data and then identifying the timestamp after acquisition. The coordinate data refers to the spatial coordinates of the meteorological station. The coordinates of a shipborne automatic weather station can be located using latitude and longitude. Of course, as in other implementation methods, other custom positioning methods can be used to locate the meteorological station's coordinates.

[0102] Regarding the acquisition method, one approach is to directly obtain the meteorological data packet to be analyzed sent by the target meteorological station and the corresponding supplementary comparison information. Alternatively, another approach is to obtain the meteorological data packet to be analyzed sent by the target meteorological station, the data acquisition time of the meteorological data packet, and the station information of the target meteorological station. Based on the station information, the coordinate data of the target meteorological station can be determined, and the supplementary comparison information of the meteorological data packet to be analyzed can be obtained. Each meteorological station has unique station information, such as a unique identifier; the coordinate data can be obtained based on the uniqueness of the station information.

[0103] Step 220: Determine the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set.

[0104] The initial similarity between the meteorological data package to be analyzed and each reference warning meteorological data package in the reference warning meteorological data package set is determined by the meteorological data characteristics of the meteorological data package to be analyzed and the reference warning meteorological data packages. These meteorological data characteristics are determined based on the results of meteorological data analysis. The results of meteorological data analysis can be understood as meteorological data obtained by preliminary processing of the raw meteorological data, such as graphical representations of the meteorological data.

[0105] As a possible implementation, the meteorological data features may include one or more of the following: a first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package; preset meteorological type data of the meteorological data package to be analyzed; and preset meteorological type data of the reference early warning meteorological data package. The preset meteorological type data includes at least temperature, humidity, wind direction, wind speed, air pressure, and visibility.

[0106] Step 230: Based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of each reference early warning meteorological data package, determine the second similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package.

[0107] The second similarity represents the similarity of meteorological data packets in terms of both meteorological data analysis results and meteorological environment. Meteorological environment refers to the environment in which the meteorological station is located, which can be understood as spatial information. Weather forecasting not only needs to consider the similarity of real-time meteorological data but also requires comprehensive analysis combining time and location. Therefore, in this embodiment, the first and second similarities are combined for forecasting. Step 230 may include the following steps:

[0108] Step 231: For each reference warning meteorological data package, based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of the reference warning meteorological data package, determine the supplementary comparison features between the meteorological data package to be analyzed and the reference warning meteorological data package.

[0109] The supplementary comparison features represent the relationship between the data acquisition time and meteorological station of the meteorological data package to be analyzed and the reference early warning meteorological data package. These supplementary comparison features include at least one or more of the following: the distance between the target meteorological station and the reference meteorological station that acquired the reference early warning meteorological data package; the time interval between the data acquisition times of the meteorological data package to be analyzed and the reference early warning meteorological data package; the migration rate of the observed target in the meteorological data package to be analyzed; the migration rate of the observed target in the reference early warning meteorological data package; and the mobility degree between the target meteorological station and the reference meteorological station. The mobility degree represents the probability that the observed target in the meteorological data package to be analyzed will migrate from the monitoring space of the target meteorological station to the monitoring space of the reference meteorological station. The meteorological data features include one or more of the following: the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package; the preset meteorological type data of the meteorological data package to be analyzed; and the preset meteorological type data of the reference early warning meteorological data package. The preset meteorological type data includes at least temperature, humidity, wind direction, wind speed, air pressure, and visibility.

[0110] The closer the target weather station and the reference weather station are, the more similar their environments are, and the more likely the observed targets are to overlap or migrate. For example, cold air masses and tornadoes in severe convective weather make such reference warning weather data packages more reliable. Alternatively, if the time interval between the acquisition of the weather data package to be analyzed and the reference warning weather data package is very close, the probability of weather changes is small, and it is also reliable. By analyzing the migration rate of the observed targets in each of the two systems, we can determine the time it takes for the observed targets to migrate from the range of the reference weather station to the target weather station, thereby determining whether there is a possibility of overlap or migration. The mobility between the target weather station and the reference weather station can be estimated by the migration rate and direction of the observed targets. The higher the mobility, the higher the second similarity.

[0111] Step 232: For each reference warning meteorological data package, based on the meteorological data analysis results of the meteorological data package to be analyzed and the reference warning meteorological data package, determine the meteorological data characteristics of the meteorological data package to be analyzed and the reference warning meteorological data package.

[0112] Meteorological data characteristics can be presented as meteorological data analysis results. For example, the analysis results of various types of meteorological data in a meteorological data package are depicted by curves of time and values. The analysis results of various types of meteorological data are combined to obtain a comprehensive curve. Image feature analysis is performed on the comprehensive curve, such as changes in the slope of the curve and the occurrence patterns of peaks and troughs. This can yield the first similarity between the meteorological data package to be analyzed and the reference warning meteorological data package. In addition, it is also necessary to consider whether the preset meteorological type data of the meteorological data package to be analyzed and the preset meteorological type data of the reference warning meteorological data package are consistent or have an overlap threshold. For example, the preset meteorological type data includes at least one of temperature, humidity, wind direction, wind speed, air pressure, and visibility. The number of data with the same meteorological type can be used to indicate different first similarities.

[0113] Step 233: For each reference early warning meteorological data package, based on the supplementary comparative features and meteorological data features of the meteorological data package to be analyzed and the reference early warning meteorological data package, determine the second similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package.

[0114] The supplementary comparison features include information about meteorological data in terms of time and space. By combining the surface level of meteorological data with temporal and spatial similarity, a second similarity that can comprehensively reflect the degree of matching is obtained.

[0115] Step 240: Based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, determine the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0116] By combining the first and second similarity scores, the corresponding target reference early warning meteorological data package is determined. This process may specifically include the following steps:

[0117] Step 241: For each reference early warning meteorological data packet, if the first similarity between the meteorological data packet to be analyzed and the reference early warning meteorological data packet is greater than the first preset value, then the reference early warning meteorological data packet is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0118] Since the first similarity is obtained from the perspective of meteorological data analysis results, if the first similarity between the meteorological data package to be analyzed and the reference warning meteorological data package is greater than the first preset value, it means that the similarity between the two is very high, and the corresponding meteorological warning types can be considered to be consistent. In this case, the reference warning meteorological data package can be directly identified as the target reference warning meteorological data package corresponding to the meteorological data package to be analyzed.

[0119] Step 242: For each reference warning weather data package, if the first similarity between the weather data package to be analyzed and the reference warning weather data package is less than the second preset value, then continue to compare the next reference warning weather data package.

[0120] In this embodiment, the second preset value is less than the first preset value. When the first similarity between the meteorological data package to be analyzed and the reference warning meteorological data package is less than the second preset value, it indicates that the similarity between the two is very low, the meteorological warning types may not correspond, and it is necessary to continue comparing the next reference warning meteorological data package.

[0121] Step 243: For each reference early warning meteorological data package, if the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is less than the first preset value and greater than the second preset value, then if the second similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is greater than the third preset value, then the reference early warning meteorological data package is determined as the target reference early warning meteorological data package corresponding to the meteorological data package to be analyzed.

[0122] If the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is less than the first preset value but greater than the second preset value, it is not clear at this time and needs to be combined with time and space information to assist in the judgment. If the second similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is greater than the third preset value, it helps to determine that the reference early warning meteorological data package is the target reference early warning meteorological data package corresponding to the meteorological data package to be analyzed; otherwise, it is not.

[0123] In one implementation, if multiple original reference early warning meteorological data packets corresponding to the meteorological data packet to be analyzed are determined based on the first similarity and the second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the original reference early warning meteorological data packet with the largest first similarity or second similarity to the meteorological data packet to be analyzed is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0124] In this embodiment, the reference early warning meteorological data package set includes a first reference early warning meteorological data package set and a second reference early warning meteorological data package set. The observation targets included in the reference early warning meteorological data packages in the first reference early warning meteorological data package set are deterministic observation targets, while the observation targets included in the reference early warning meteorological data packages in the second reference early warning meteorological data package set are indeterminate observation targets. Deterministic observation targets are clearly defined observation targets, while indeterminate observation targets are unclear observation targets. In this embodiment, multiple original reference early warning meteorological data packages include the reference early warning meteorological data packages in the first reference early warning meteorological data package set.

[0125] Therefore, the original reference early warning meteorological data package with the highest first or second similarity to the meteorological data package to be analyzed is identified as the target reference early warning meteorological data package corresponding to the meteorological data package to be analyzed, including:

[0126] Identify each of the first reference early warning meteorological data packets that belongs to the first reference early warning meteorological data packet set from among multiple original reference early warning meteorological data packets.

[0127] The first reference early warning meteorological data packet with the highest first or second similarity to the meteorological data packet to be analyzed is identified as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

[0128] At this point, the prediction process also includes:

[0129] The subsets of reference warning meteorological data packets belonging to each reference warning meteorological data packet other than the target reference warning meteorological data packet in the multiple original reference warning meteorological data packets are merged with the set of meteorological data packets to which the target reference warning meteorological data packet belongs, and the correspondence between each reference warning meteorological data packet in the subset of reference warning meteorological data packets and the meteorological warning type corresponding to the pre-stored target reference warning meteorological data packet is constructed.

[0130] Step 250: The meteorological warning type corresponding to the target reference early warning meteorological data package is taken as the meteorological warning type of the meteorological data package to be analyzed, and an early warning is issued.

[0131] Step 260: If the meteorological data packet to be analyzed corresponds to a reference early warning meteorological data packet, store the meteorological data packet to be analyzed as a new reference early warning meteorological data packet in the reference early warning meteorological data packet set, and construct the correspondence between the meteorological data packet to be analyzed and the corresponding meteorological early warning type.

[0132] In one implementation, steps 220-230 may include the following steps:

[0133] Step (220-230)a: For a subset of reference early warning meteorological data packets, determine the first similarity between the meteorological data packet to be analyzed and the representative reference early warning meteorological data packet of the subset of reference early warning meteorological data packets, and use it as the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the subset of reference early warning meteorological data packets.

[0134] The reference warning meteorological data packet subset is a set of meteorological data packets that contain representative reference warning meteorological data packets.

[0135] Step (220-230)b: For a subset of reference early warning meteorological data packets, based on supplementary comparison information and meteorological environment reference supplementary comparison information of representative reference early warning meteorological data packets of the subset of reference early warning meteorological data packets, determine the second similarity between the meteorological data packet to be analyzed and the representative reference early warning meteorological data packets of the subset of reference early warning meteorological data packets, and use it as the second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet of the subset of reference early warning meteorological data packets.

[0136] In this implementation, step 260 may include the following steps:

[0137] Step 261: Determine the representative parameters of the meteorological data package to be analyzed.

[0138] The representative parameters of this data indicate the data quality of the meteorological data package, such as completeness, continuity, and image clarity. The higher the parameter, the more accurate it is and the easier it is to be matched with other meteorological data packages.

[0139] Step 262: When the meteorological data set containing the target reference early warning meteorological data package has a representative reference early warning meteorological data package, and the data representativeness parameter of the meteorological data package to be analyzed is higher than that of the representative reference early warning meteorological data package, the representative reference early warning meteorological data package is updated to the meteorological data package to be analyzed, and the corresponding supplementary comparison information is stored.

[0140] Step 263: When the meteorological data packet set where the target reference early warning meteorological data packet is located does not have a representative reference early warning meteorological data packet, and the data representativeness parameter of the meteorological data packet to be analyzed is higher than the preset data representativeness parameter threshold, the meteorological data packet to be analyzed is used as the representative reference early warning meteorological data packet of the meteorological data packet set where the target reference early warning meteorological data packet is located, and the corresponding supplementary comparison information is stored.

[0141] Step 264: Otherwise, the meteorological data packet to be analyzed is stored in the corresponding reference warning meteorological data packet set as a reference warning meteorological data packet belonging to the same set as the target reference warning meteorological data packet, along with supplementary comparison information.

[0142] By updating the most relevant meteorological data in the meteorological data package through steps 261-264 above, the accuracy of subsequent meteorological data analysis and judgment can be increased.

[0143] To ensure the quality of weather forecasts, the process also includes the following steps before step 220:

[0144] The data verification information for the meteorological data package to be analyzed includes one or more of the following: data continuity, data integrity, data density, and equipment self-test results.

[0145] When the data verification information meets the preset requirements, proceed to step 220.

[0146] The shipborne automatic weather station provided in this application includes a weather station and a forecasting center that communicate with each other. The forecasting center is used for weather forecasting. By acquiring the weather data packet to be analyzed and the corresponding supplementary comparison information, it determines the first similarity between the weather data packet to be analyzed and each reference warning weather data packet in the reference warning weather data packet set. Based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of each reference warning weather data packet, it determines the second similarity between the weather data packet to be analyzed and each reference warning weather data packet. Based on the first and second similarities between the weather data packet to be analyzed and each reference warning weather data packet in the reference warning weather data packet set, it determines the target reference warning weather data packet corresponding to the weather data packet to be analyzed. The weather warning type corresponding to the target reference warning weather data packet is used as the weather warning type of the weather data packet to be analyzed, and a warning is issued. The weather data packet to be analyzed is stored as a new reference warning weather data packet in the reference warning weather data packet set, thus constructing a correspondence between the weather data packet to be analyzed and the corresponding weather warning type. By adopting a method of pre-constructing the correspondence between weather data packets and weather warning types, and through multiple similarity judgment strategies, it can quickly and accurately analyze meteorological data and predict the weather type.

[0147] Please refer to Figure 10The weather forecasting device 110 provided in this application embodiment can be used to execute steps 210-260. The weather forecasting device 110 may include multiple functional modules, such as modules implemented by software programs or hardware circuits, with each module corresponding to execute a specific step. The weather forecasting device 110 includes a data acquisition module 111, a first comparison module 112, a second comparison module 113, a determination module 114, an early warning module 115, and a storage module 116. Specifically, the data acquisition module 111 executes step 210, the first comparison module 112 executes step 220, the second comparison module 113 executes step 230, the determination module 114 executes step 240, the early warning module 115 executes step 250, and the storage module 116 executes step 260.

[0148] Since the implementation principle has been explained in the preceding steps, the weather forecasting device 110 will not be described again here.

[0149] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0151] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0152] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, laptop, server, or electronic device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0153] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A shipborne automatic weather station, characterized in that, The system includes a weather station and a forecasting center. The weather station is equipped with weather sensors and communication devices. The weather sensors are configured to sense weather data and transmit the sensed weather data to the forecasting center via the communication devices. The forecasting center includes computer equipment, which includes a processor and a memory that communicate with each other. The processor is used to retrieve computer programs from the memory and execute the computer programs to implement the following weather forecasting process: Obtain the meteorological data packet to be analyzed and the supplementary comparison information corresponding to the meteorological data packet to be analyzed, wherein the supplementary comparison information includes the data acquisition time of the meteorological data packet to be analyzed and the coordinate data of the target meteorological station of the meteorological data packet to be analyzed; The first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set is determined; wherein, the first similarity between the meteorological data package to be analyzed and each reference early warning meteorological data package in the reference early warning meteorological data package set is determined by the meteorological data characteristics of the meteorological data package to be analyzed and the reference early warning meteorological data packages, and the meteorological data characteristics are characteristics determined based on the meteorological data analysis results; For each reference early warning meteorological data package, based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of the reference early warning meteorological data package, supplementary comparison features are determined regarding the meteorological data package to be analyzed and the reference early warning meteorological data package. These supplementary comparison features represent the relationship between the data acquisition time and meteorological station of the meteorological data package to be analyzed and the reference early warning meteorological data package. The supplementary comparison features include one or more of the following: the migration rate of the observed target in the meteorological data package to be analyzed and the mobility between the target meteorological station and the reference meteorological station. The migration rate is used to analyze the migration of the observed target from the reference meteorological station to... The time of the target weather station is used to determine whether there is a possibility of overlapping migration; the mobility is evaluated by the migration rate and migration direction of the observed target, representing the probability that the observed target in the meteorological data package to be analyzed will migrate from the monitoring space of the target weather station to the monitoring space of the reference weather station; the meteorological data features include one or more of the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package, the preset meteorological type data of the meteorological data package to be analyzed, and the preset meteorological type data of the reference early warning meteorological data package, wherein the preset meteorological type data includes at least temperature, humidity, wind direction, wind speed, air pressure, and visibility; For each reference early warning meteorological data package, based on the meteorological data analysis results of the meteorological data package to be analyzed and the reference early warning meteorological data package, the meteorological data characteristics of the meteorological data package to be analyzed and the reference early warning meteorological data package are determined; For each reference early warning meteorological data package, based on the supplementary comparison features and meteorological data features between the meteorological data package to be analyzed and the reference early warning meteorological data package, a second similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is determined, wherein the second similarity represents the similarity of the meteorological data packages in terms of both meteorological data analysis results and meteorological environment; Based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed is determined; The meteorological warning type corresponding to the target reference early warning meteorological data package is used as the meteorological warning type of the meteorological data package to be analyzed, and an early warning is issued; If the meteorological data packet to be analyzed corresponds to a reference early warning meteorological data packet, the meteorological data packet to be analyzed is stored as a new reference early warning meteorological data packet in the reference early warning meteorological data packet set, and a correspondence between the meteorological data packet to be analyzed and the corresponding meteorological early warning type is constructed.

2. The shipborne automatic weather station according to claim 1, characterized in that, The step of determining the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the reference early warning meteorological data packet set includes: For each reference early warning meteorological data packet, if the first similarity between the meteorological data packet to be analyzed and the reference early warning meteorological data packet is greater than a first preset value, then the reference early warning meteorological data packet is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed; For each reference early warning weather data packet, if the first similarity between the weather data packet to be analyzed and the reference early warning weather data packet is less than a second preset value, then the next reference early warning weather data packet is compared, wherein the second preset value is less than the first preset value; For each reference early warning meteorological data package, if the first similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is less than the first preset value and greater than the second preset value, then if the second similarity between the meteorological data package to be analyzed and the reference early warning meteorological data package is greater than the third preset value, then the reference early warning meteorological data package is determined as the target reference early warning meteorological data package corresponding to the meteorological data package to be analyzed.

3. The shipborne automatic weather station according to claim 1, characterized in that, Also includes: For a subset of reference early warning meteorological data packets, the first similarity between the meteorological data packet to be analyzed and the representative reference early warning meteorological data packet of the subset of reference early warning meteorological data packets is determined, and is used as the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the subset of reference early warning meteorological data packets, wherein the subset of reference early warning meteorological data packets is a set of meteorological data packets with representative reference early warning meteorological data packets. For the subset of reference early warning meteorological data packets, based on the supplementary comparison information and the meteorological environment reference supplementary comparison information of the representative reference early warning meteorological data packets of the subset of reference early warning meteorological data packets, the second similarity between the meteorological data packet to be analyzed and the representative reference early warning meteorological data packets of the subset of reference early warning meteorological data packets is determined, and is used as the second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet of the subset of reference early warning meteorological data packets; The step of storing the meteorological data packet to be analyzed as a new reference early warning meteorological data packet in the reference early warning meteorological data packet set, and constructing the correspondence between the meteorological data packet to be analyzed and the corresponding meteorological early warning type, includes: Determine the representative parameters of the meteorological data package to be analyzed; When the meteorological data set containing the target reference early warning meteorological data package has a representative reference early warning meteorological data package, and the data representativeness parameter of the meteorological data package to be analyzed is higher than that of the representative reference early warning meteorological data package, the representative reference early warning meteorological data package is updated to the meteorological data package to be analyzed, and the corresponding supplementary comparison information is stored. When the meteorological data packet set where the target reference early warning meteorological data packet is located does not have a representative reference early warning meteorological data packet, and the data representativeness parameter of the meteorological data packet to be analyzed is higher than the preset data representativeness parameter threshold, the meteorological data packet to be analyzed is used as the representative reference early warning meteorological data packet of the meteorological data packet set where the target reference early warning meteorological data packet is located, and the corresponding supplementary comparison information is stored. Otherwise, the meteorological data packet to be analyzed is stored in the corresponding set of reference early warning meteorological data packets as a reference early warning meteorological data packet belonging to the same set as the target reference early warning meteorological data packet, along with the supplementary comparison information.

4. The shipborne automatic weather station according to claim 1, characterized in that, The step of determining the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed based on the first similarity and second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the reference early warning meteorological data packet set includes: If, based on the first similarity and the second similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the set of reference early warning meteorological data packets, multiple original reference early warning meteorological data packets corresponding to the meteorological data packet to be analyzed are determined, the original reference early warning meteorological data packet with the largest first similarity or second similarity to the meteorological data packet to be analyzed is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed.

5. The shipborne automatic weather station according to claim 4, characterized in that, The reference early warning meteorological data package set includes a first reference early warning meteorological data package set and a second reference early warning meteorological data package set. The observation targets included in the reference early warning meteorological data packages in the first reference early warning meteorological data package set are deterministic observation targets, while the observation targets included in the reference early warning meteorological data packages in the second reference early warning meteorological data package set are undeterministic observation targets. The plurality of original reference early warning meteorological data packages include the reference early warning meteorological data packages in the first reference early warning meteorological data package set. The step of determining the original reference early warning meteorological data packet with the highest first or second similarity to the meteorological data packet to be analyzed as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed includes: Identify each of the multiple original reference early warning meteorological data packets that belongs to the first reference early warning meteorological data packet set; The first reference early warning meteorological data packet with the highest first or second similarity to the meteorological data packet to be analyzed is determined as the target reference early warning meteorological data packet corresponding to the meteorological data packet to be analyzed. The process also includes: The subset of reference warning meteorological data packets to which each reference warning meteorological data packet belongs (excluding the target reference warning meteorological data packet) in the plurality of original reference warning meteorological data packets is merged with the set of meteorological data packets to which the target reference warning meteorological data packet belongs, and a correspondence relationship is constructed between each reference warning meteorological data packet in the subset of reference warning meteorological data packets and the meteorological warning type corresponding to the pre-stored target reference warning meteorological data packet.

6. The shipborne automatic weather station according to any one of claims 1-5, characterized in that, Before determining the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the reference early warning meteorological data packet set, the process further includes: The data verification information of the meteorological data package to be analyzed is confirmed. The data verification information includes one or more of the following: data continuity, data integrity, data density, and equipment self-test results. When the data verification information meets the preset requirements, the step of determining the first similarity between the meteorological data packet to be analyzed and each reference early warning meteorological data packet in the reference early warning meteorological data packet set is performed.

7. The shipborne automatic weather station according to any one of claims 1-5, characterized in that, The acquisition of the meteorological data packet to be analyzed and the corresponding supplementary comparison information includes: Obtain the meteorological data packet to be analyzed sent by the target meteorological station and the supplementary comparison information corresponding to the meteorological data packet to be analyzed; Alternatively, the system can acquire the meteorological data packet to be analyzed sent by the target meteorological station, the data acquisition time of the meteorological data packet to be analyzed, and the station information of the target meteorological station. Based on the station information, the system can determine the coordinate data of the target meteorological station and obtain supplementary comparison information of the meteorological data packet to be analyzed.

8. The shipborne automatic weather station according to any one of claims 1-5, characterized in that, The weather station also includes a sensor system, a data acquisition system, a communication system, a power supply system, a navigation and positioning system, and an installation structure system. The sensor system includes a temperature sensor, a humidity sensor, a barometric pressure sensor, a wind direction sensor, a wind speed sensor, a visibility sensor, and a precipitation sensor. The data acquisition system includes a Cortex-A7 core board and an embedded software system. The communication system includes local communication equipment and remote communication equipment. The power supply system includes an AC power controller, a battery, and a solar panel. The navigation and positioning system consists of a positioning and orientation host and an antenna feeder. The installation structure system includes an integrated floor-standing chassis and a sensor mounting arm assembly.

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