Meteorological disaster warning equipment and warning method

Abstract

The invention discloses a meteorological disaster early warning device and an early warning method thereof, and relates to the technical field of early warning devices. The meteorological disaster early warning device comprises a real-time monitoring component for real-time monitoring of weather changes to obtain accurate meteorological data, a data analysis and prediction component for processing and analyzing the collected meteorological data, and an early warning information release component for releasing early warning information; the meteorological data is transmitted from the real-time monitoring component to the data analysis and prediction component; the data analysis and prediction component comprises a data preprocessing unit and a prediction unit; by adopting the real-time monitoring component, the data analysis and prediction component and the early warning information release component, meteorological data information is acquired, the collected data information is processed, analyzed and predicted, and the data information is warned and released, so as to realize effective monitoring and early warning of meteorological disasters, prevent losses caused by meteorological disasters, and reduce the impact of meteorological disasters.

Description

Technical Field

[0001] The present invention relates to the field of meteorological disaster early warning equipment technology, and in particular to a meteorological disaster early warning equipment and an early warning method thereof. Background Art

[0002] Meteorological disaster warning equipment plays a vital role in disaster prevention and mitigation. They can capture signs of meteorological disasters in advance and provide valuable warning time for relevant departments and the public. The warning equipment in the prior art does not use real-time monitoring components, data analysis and prediction components, and warning information release components to obtain meteorological data information, process, analyze and predict the collected data information, and warn and release the data information. It is not convenient to achieve effective monitoring and warning of meteorological disasters, and it is not convenient to prevent losses caused by meteorological disasters. Therefore, in view of this situation, it is urgent to develop a meteorological disaster warning equipment and its warning method to meet the needs of actual use. Summary of the invention

[0003] In view of this, the present invention aims to address the deficiencies in the prior art, and its main purpose is to provide a meteorological disaster warning device and a warning method thereof, which acquires meteorological data information, processes, analyzes and predicts the collected data information, and warns and releases the data information through the use of real-time monitoring components, data analysis and prediction components, and warning information release components, thereby achieving effective monitoring and warning of meteorological disasters, preventing losses caused by meteorological disasters, and reducing the impact of meteorological disasters.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] A meteorological disaster warning device comprises a real-time monitoring component for real-time monitoring of weather changes to obtain accurate meteorological data, a data analysis and prediction component for processing and analyzing the collected meteorological data, and a warning information release component for releasing warning information; the meteorological data is transmitted from the real-time monitoring component to the data analysis and prediction component; the data analysis and prediction component comprises a data preprocessing unit and a prediction unit, the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses a model to perform real-time weather forecasting based on real-time meteorological data and visually compares the forecasting results with the real data; the warning information release component comprises a short message release platform and a network media release platform, and the data processed by the data analysis and prediction component is released via the warning information release component.

[0006] As a preferred solution: the real-time monitoring component includes a sensor, a data collector, a communication unit and a power supply unit. The sensor monitors various meteorological elements, the data collector organizes and stores the data collected by the sensor, the communication unit transmits the data in real time, and the power supply unit provides electrical energy.

[0007] As a preferred solution: the specific steps of the prediction unit for real-time weather prediction include: first, using mathematical models and algorithms to establish a prediction model to predict future meteorological conditions based on historical data and current observation data; second, displaying the prediction results in the form of images and text, and the prediction results include meteorological charts, precipitation forecast maps, and temperature distribution maps.

[0008] As a preferred solution: the prediction model includes a numerical weather forecast model that calculates air movement, heat exchange, and humidity in the atmosphere based on the principles of physics, fluid mechanics, and thermodynamics to predict future weather changes, a statistical forecast model that uses statistical methods to analyze historical weather data to predict future weather changes, and a machine learning forecast model that automatically extracts features from massive meteorological data based on machine learning, captures complex nonlinear patterns, and predicts future weather changes.

[0009] As a preferred solution: the early warning information release component also includes an alarm device, which includes a wind speed alarm for monitoring wind speed and sending out an alarm signal when the wind speed exceeds a preset safety threshold; a rainfall alarm for monitoring rainfall and triggering an alarm when the rainfall reaches or exceeds a preset threshold; and a gas alarm for monitoring the content of flammable, toxic gases and vapors in the air and serving as an over-limit alarm. The wind speed alarm, rainfall alarm and gas alarm are all connected to the data analysis and prediction component.

[0010] As a preferred solution: the data preprocessing unit cleans the data by the following steps:

[0011] S1. Handling missing values: For missing values, interpolation, mean filling, median filling, mode filling or deleting records containing missing values ​​are used;

[0012] S2. Processing duplicate data: Identify and delete duplicate data to avoid interference with analysis results;

[0013] S3. Handling outliers: Detection and correction through statistical analysis or machine learning methods.

[0014] As a preferred solution: the sensors include a humidity sensor, a rainfall sensor, an air pressure sensor and a temperature sensor; the communication unit includes wired communication and wireless communication, the wired communication transmits data through a physical medium; the wireless communication transmits data through electromagnetic waves.

[0015] As a preferred solution: the physical medium includes cables and optical fibers, the electromagnetic waves include radio waves and microwaves; the communication unit also includes a central processor for processing communication data and controlling the communication process; and a memory for storing communication data and instructions.

[0016] As a preferred solution: the real-time monitoring component also includes a radar for real-time monitoring of precipitation, wind field and temperature parameters in the atmospheric environment.

[0017] The early warning method of the meteorological disaster early warning device comprises the following steps:

[0018] First, the real-time monitoring component monitors weather changes to obtain accurate meteorological data;

[0019] Second, the data analysis and prediction component processes and analyzes the collected meteorological data: the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses the model to perform real-time weather prediction based on real-time meteorological data and visually compares the prediction results with the real data;

[0020] Third, the warning information release component releases warning information based on the data processed by the data analysis and prediction component.

[0021] Compared with the prior art, the present invention has obvious advantages and beneficial effects. Specifically, it can be seen from the above technical scheme that by adopting real-time monitoring components, data analysis and prediction components and warning information release components, it is possible to acquire meteorological data information, process, analyze and predict the collected data information, and warn and release the data information, thereby realizing effective monitoring and early warning of meteorological disasters, preventing losses caused by meteorological disasters, and reducing the impact of meteorological disasters.

[0022] In order to more clearly illustrate the structural features and effects of the present invention, it is described in detail below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of the early warning method of the meteorological disaster early warning device of the present invention;

[0024] Figure 2 This is a schematic diagram of the three-dimensional structure of the meteorological disaster warning device of the present invention from a first-view perspective;

[0025] Figure 3 A schematic diagram of the second perspective stereoscopic structure of the meteorological disaster warning device of the present invention;

[0026] Figure 4 This is a schematic diagram of the three-dimensional structure of the meteorological disaster warning device of the present invention from the third perspective.

[0027] Description of the accompanying drawings:

[0028] In the figure: 10. Real-time monitoring component; 20. Data analysis and prediction component. DETAILED DESCRIPTION

[0029] The present invention Figures 1 to 4 As shown, a meteorological disaster warning device includes a real-time monitoring component 10 for real-time monitoring of weather changes to obtain accurate meteorological data, a data analysis and prediction component 20 for processing and analyzing the collected meteorological data, and a warning information release component for releasing warning information; wherein:

[0030] The meteorological data is transmitted by the real-time monitoring component 10 to the data analysis and prediction component 20; the data analysis and prediction component 20 includes a data preprocessing unit and a prediction unit, and the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses a model to perform real-time weather forecasts based on real-time meteorological data and visually compares the forecast results with the actual data; the warning information publishing component includes a text message publishing platform and an online media publishing platform, and the data processed by the data analysis and prediction component 20 is published via the warning information publishing component.

[0031] By adopting the real-time monitoring component 10, the data analysis and prediction component 20 and the warning information release component, it is possible to acquire meteorological data information, process, analyze and predict the collected data information, and issue warnings and release the data information, thereby achieving effective monitoring and early warning of meteorological disasters, preventing losses caused by meteorological disasters, and reducing the impact of meteorological disasters.

[0032] The real-time monitoring component 10 includes a sensor, a data collector, a communication unit and a power supply unit. The sensor monitors various meteorological elements, the data collector organizes and stores the data collected by the sensor, the communication unit transmits the data in real time, and the power supply unit provides electrical energy.

[0033] The real-time monitoring component 10 is used to realize sensing, data collection and data transmission of meteorological data, so that meteorological data can be obtained conveniently and quickly.

[0034] The specific steps of the prediction unit for real-time weather prediction include: first, using mathematical models and algorithms to establish a prediction model to predict future meteorological conditions based on historical data and current observation data; second, displaying the prediction results in the form of images and text, and the prediction results include meteorological charts, precipitation forecast maps, and temperature distribution maps; by using the prediction unit to predict meteorological disasters and displaying the prediction results in the form of images and text, the practicality is improved.

[0035] The prediction model includes a numerical weather forecast model that calculates air movement, heat exchange, and humidity in the atmosphere based on the principles of physics, fluid mechanics, and thermodynamics to predict future weather changes; a statistical forecast model that uses statistical methods to analyze historical weather data and predict future weather changes; and a machine learning forecast model that automatically extracts features from massive meteorological data based on machine learning, captures complex nonlinear patterns, and predicts future weather changes. Predictions are made using multiple models, which improves the prediction effect.

[0036] The early warning information release component also includes an alarm device, which includes a wind speed alarm for monitoring wind speed, which sends out an alarm signal when the wind speed exceeds a preset safety threshold; a rainfall alarm for monitoring rainfall, which triggers an alarm when the rainfall reaches or exceeds a preset threshold; and a gas alarm for monitoring the content of flammable, toxic gases and vapors in the air and serving as an over-limit alarm. The wind speed alarm, rainfall alarm and gas alarm are all connected to the data analysis and prediction component 20; by using the alarm device, it is convenient to spread the alarm of meteorological disasters, and provide preparation time for the prevention of meteorological disasters.

[0037] The data preprocessing unit includes the following steps for data cleaning:

[0038] S1. Handling missing values: For missing values, interpolation, mean filling, median filling, mode filling or deleting records containing missing values ​​are used;

[0039] S2. Processing duplicate data: Identify and delete duplicate data to avoid interference with analysis results;

[0040] S3. Handling outliers: Detection and correction through statistical analysis or machine learning methods.

[0041] The sensor includes a humidity sensor, a rainfall sensor, an air pressure sensor and a temperature sensor; the communication unit includes wired communication and wireless communication, the wired communication transmits data through a physical medium; the wireless communication transmits data through electromagnetic waves; the sensor senses meteorological signals to obtain meteorological data.

[0042] The physical medium includes cables and optical fibers, and the electromagnetic waves include radio waves and microwaves; the communication unit also includes a central processing unit for processing communication data and controlling the communication process; and a memory for storing communication data and instructions; the use of a central processing unit and a memory facilitates the processing and storage of data, thereby realizing the communication function.

[0043] The real-time monitoring component 10 also includes a radar for real-time monitoring of precipitation, wind field and temperature parameters in the atmospheric environment.

[0044] The early warning method of the meteorological disaster early warning device comprises the following steps:

[0045] First, the real-time monitoring component monitors weather changes to obtain accurate meteorological data;

[0046] Second, the data analysis and prediction component processes and analyzes the collected meteorological data: the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses the model to perform real-time weather prediction based on real-time meteorological data and visually compares the prediction results with the real data;

[0047] Third, the warning information release component releases warning information based on the data processed by the data analysis and prediction component.

[0048] The design focus of the present invention is to acquire meteorological data information, process, analyze and predict the collected data information, and issue warnings and release the data information through the use of real-time monitoring components, data analysis and prediction components, and warning information release components, thereby achieving effective monitoring and early warning of meteorological disasters, preventing losses caused by meteorological disasters, and reducing the impact of meteorological disasters.

[0049] The above description is only a preferred embodiment of the present invention and does not limit the technical scope of the present invention. Therefore, any slight modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A meteorological disaster early warning device, characterized in that: It includes a real-time monitoring component for real-time monitoring of weather changes to obtain accurate meteorological data, a data analysis and prediction component for processing and analyzing the collected meteorological data, and an early warning information release component for issuing early warning information; the meteorological data is transmitted from the real-time monitoring component to the data analysis and prediction component; the data analysis and prediction component includes a data preprocessing unit and a prediction unit, and the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses a model to perform real-time weather forecasts based on real-time meteorological data and visually compares the forecast results with the actual data; the early warning information release component includes a text message release platform and an online media release platform, and the data processed by the data analysis and prediction component is released via the early warning information release component.

2. The meteorological disaster warning device according to claim 1, characterized in that: The real-time monitoring component includes a sensor, a data collector, a communication unit and a power supply unit. The sensor monitors various meteorological elements, the data collector organizes and stores the data collected by the sensor, the communication unit transmits the data in real time, and the power supply unit provides electrical energy.

3. The meteorological disaster warning device according to claim 1, characterized in that: The specific steps of the prediction unit for real-time weather prediction include: first, using mathematical models and algorithms to establish a prediction model to predict future meteorological conditions based on historical data and current observation data; second, displaying the prediction results in the form of images and text, and the prediction results include meteorological charts, precipitation forecast maps, and temperature distribution maps.

4. The meteorological disaster warning device according to claim 3, characterized in that: The prediction models include numerical weather prediction models that calculate air movement, heat exchange, and humidity in the atmosphere based on the principles of physics, fluid mechanics, and thermodynamics to predict future weather changes, statistical prediction models that use statistical methods to analyze historical weather data to predict future weather changes, and machine learning prediction models that automatically extract features from massive meteorological data based on machine learning, capture complex nonlinear patterns, and predict future weather changes.

5. The meteorological disaster warning device according to claim 3, characterized in that: The early warning information release component also includes an alarm device, which includes a wind speed alarm for monitoring wind speed and sending out an alarm signal when the wind speed exceeds a preset safety threshold; a rainfall alarm for monitoring rainfall and triggering an alarm when the rainfall reaches or exceeds a preset threshold; and a gas alarm for monitoring the content of flammable, toxic gases and vapors in the air and serving as an over-limit alarm. The wind speed alarm, rainfall alarm and gas alarm are all connected to the data analysis and prediction component.

6. The meteorological disaster warning device according to claim 1, characterized in that: The data preprocessing unit cleans the data including the following steps: S1. Handling missing values: For missing values, interpolation, mean filling, median filling, mode filling or deleting records containing missing values ​​are used; S2. Processing duplicate data: Identify and delete duplicate data to avoid interference with analysis results; S3. Handling outliers: Detection and correction through statistical analysis or machine learning methods.

7. The meteorological disaster warning device according to claim 2, characterized in that: The sensors include a humidity sensor, a rainfall sensor, an air pressure sensor and a temperature sensor; the communication unit includes wired communication and wireless communication, the wired communication transmits data through a physical medium; the wireless communication transmits data through electromagnetic waves.

8. The meteorological disaster warning device according to claim 7, characterized in that: The physical medium includes cables and optical fibers, and the electromagnetic waves include radio waves and microwaves; the communication unit also includes a central processor for processing communication data and controlling the communication process; and a memory for storing communication data and instructions.

9. The meteorological disaster warning device according to claim 1, characterized in that: The real-time monitoring component also includes a radar for real-time monitoring of precipitation, wind field and temperature parameters in the atmospheric environment.

10. An early warning method of a meteorological disaster early warning device according to any one of claims 1 to 9, characterized in that: The steps include: First, the real-time monitoring component monitors weather changes to obtain accurate meteorological data; Second, the data analysis and prediction component processes and analyzes the collected meteorological data: the data preprocessing unit performs data cleaning, data calibration, data filtering and data standardization operations; the prediction unit uses the model to perform real-time weather prediction based on real-time meteorological data and visually compares the prediction results with the real data; Third, the warning information release component releases warning information based on the data processed by the data analysis and prediction component.

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