Meteorological echelon short-term and temporary alarm system

Abstract

The invention discloses a meteorological echelon short-term and temporary alarm system, and relates to the technical field of meteorological early warning, and the system comprises a meteorological data collection module which collects meteorological parameter data in real time; the meteorological data processing module is used for generating a data set meeting short-term meteorological prediction requirements; the weather echelon analysis module is used for carrying out echelon analysis on the processed weather data and grading weather conditions according to a set early warning rule; the short-term and temporary early warning module is used for outputting short-term meteorological early warning information related to the current meteorological condition according to the echelon analysis result; and the alarm mechanism module triggers different levels of alarm signals according to the early warning information. According to the meteorological echelon short-term and temporary alarm system provided by the invention, accurate short-term meteorological early warning can be realized and loss caused by meteorological disasters can be reduced to a great extent through multiple means of multi-sensor data acquisition, intelligent algorithm real-time adjustment, echelon analysis and early warning mechanism, response measure suggestion, user feedback and optimization and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of meteorological early warning, and specifically relates to a meteorological echelon short-term and imminent warning system. Background Art

[0002] Meteorological disasters have a great impact on human society, economy, agriculture, transportation and other aspects. In order to effectively respond to different meteorological disasters, meteorological early warning systems have been widely used. However, most of the existing meteorological early warning systems have problems such as poor warning timeliness, information overload or inaccuracy. Traditional meteorological early warning systems often rely on fixed thresholds and simple analysis methods, and it is difficult to adapt to changing meteorological conditions in real time, and lack intelligent and accurate decision-making support.

[0003] With the progress of technology, especially the development of big data, artificial intelligence and Internet of Things technologies, meteorological early warning systems based on intelligent algorithms have emerged. By comprehensively considering various meteorological parameters, real-time data and historical meteorological trends, such systems can provide more accurate and timely short-term meteorological early warnings. Such systems can not only improve the accuracy of early warnings, but also provide specific prevention suggestions for users, thus reducing the losses caused by meteorological disasters. Therefore, designing a meteorological echelon short-term and imminent warning system that integrates functions such as multi-sensor data collection, data processing, risk assessment, early warning generation, and response measures can better meet the needs of meteorological disaster emergency management and improve the timeliness and accuracy of meteorological early warnings. Summary of the Invention

[0004] To solve the above technical problems, a meteorological echelon short-term and imminent warning system is provided, and this technical solution solves the above problems.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A meteorological echelon short-term and imminent warning system, comprising:

[0007] Comprising: a meteorological data collection module, a meteorological data processing module, a meteorological echelon analysis module, a short-term and imminent warning module, and an alarm mechanism module;

[0008] Meteorological data collection module: The meteorological data collection module is used to collect meteorological parameter data in real time, including temperature, humidity, air pressure, wind speed and wind direction;

[0009] Meteorological data processing module: The meteorological data processing module is electrically connected to the meteorological data collection module, and the meteorological data processing module is used to preprocess, clean and fuse the collected meteorological data to generate a data set that meets the requirements of short-term meteorological prediction;

[0010] Meteorological Gradient Analysis Module: The meteorological gradient analysis module is electrically connected to the meteorological data processing module. The meteorological gradient analysis module is used to perform gradient analysis on the processed meteorological data, divide the meteorological conditions into grades according to the set warning rules, and calculate the risk probability of each grade;

[0011] Short-Term and Imminent Warning Module: The short-term and imminent warning module is electrically connected to the meteorological gradient analysis module. The short-term and imminent warning module is used to output short-term meteorological warning information related to the current meteorological conditions according to the gradient analysis results, and take corresponding response measures according to different warning levels;

[0012] Alarm Mechanism Module: The alarm mechanism module is electrically connected to the short-term and imminent warning module. The alarm mechanism module is used to trigger alarm signals of different levels according to the warning information to remind users to take corresponding preventive measures.

[0013] Preferably, the meteorological data acquisition module includes:

[0014] Multi-Sensor Unit, the multi-sensor unit is used for combined acquisition of different types of meteorological sensors, including temperature sensors, humidity sensors, barometric pressure sensors, anemometers, and wind vanes;

[0015] Data Transmission Unit, the data transmission unit is used to transmit the collected real-time meteorological data to the meteorological data processing module.

[0016] Preferably, the meteorological data processing module includes:

[0017] Data Cleaning Unit, the data cleaning unit is used to clean invalid data and abnormal data and screen the data;

[0018] Data Fusion Unit, the data fusion unit is used to fuse the data collected by different sensors, eliminate data redundancy between sensors, and improve the credibility of the data through the weighted average method;

[0019] Data Formatting Unit, the data formatting unit is used to convert the processed data into a standard format.

[0020] Preferably, the meteorological gradient analysis module includes:

[0021] Risk Assessment Unit, the risk assessment unit is used to perform risk assessment according to different meteorological parameters, including temperature, humidity, and barometric pressure, and preset meteorological thresholds, divide the risk levels corresponding to different meteorological conditions into different gradients, and generate a meteorological gradient risk level report;

[0022] Among them, the risk assessment formula is:

[0023]

[0024] In the formula, R i represents the risk level corresponding to the i-th meteorological parameter, w i is the weight of the i-th meteorological parameter, and R z represents the comprehensive risk level;

[0025] An early warning rule setting unit, which is used to set early warning rules for different risk levels according to historical meteorological data and actual meteorological prediction models, so as to judge the current meteorological conditions and obtain corresponding early warning levels.

[0026] Preferably, the risk assessment unit further includes:

[0027] A temperature assessment unit, which is used to evaluate the impact of temperature changes on meteorological risks and generate a temperature risk level;

[0028] A wind speed assessment unit, which is used to evaluate the impact of wind speed on meteorological risks and generate a wind speed risk level;

[0029] A humidity assessment unit, which is used to evaluate the impact of humidity changes on meteorological risks and generate a humidity risk level;

[0030] A pressure assessment unit, which is used to evaluate the impact of pressure changes on meteorological risks and generate a pressure risk level;

[0031] A comprehensive assessment unit, which is used to weight and comprehensively combine the risk levels generated by different assessment units to generate a final hierarchical meteorological risk level.

[0032] Preferably, the short-term and imminent warning module includes:

[0033] A meteorological early warning generation unit, which generates meteorological early warning information at different levels according to the risk level output by the meteorological hierarchical analysis module. The early warning information includes the type, occurrence time, duration, and influence range of meteorological phenomena;

[0034] A decision support unit, which provides predictive analysis of short-term meteorological changes to users according to the early warning information to assist users in making decisions.

[0035] Preferably, the alarm mechanism module includes:

[0036] A hierarchical alarm unit, which generates alarm signals at different levels according to the meteorological early warning level. The alarm signals can include forms such as audible and visual alarms, SMS notifications, and phone reminders;

[0037] A response measure suggestion unit, which provides users with prevention measure suggestions according to the warning level, such as strengthening the building structure when the wind speed is too high and reminding to pay attention to heatstroke prevention when the temperature is too high;

[0038] A historical record unit, which is used to record alarm information and response measures, and optimize the warning rules and response strategies according to historical data.

[0039] Preferably, the system is adjusted in real time through intelligent algorithms to adapt to changes in different meteorological conditions, specifically including:

[0040] Automatically adjust meteorological thresholds according to historical data, real-time meteorological changes, and machine learning algorithms;

[0041] Fuse the data collected by meteorological sensors and use a weighted algorithm to improve the reliability and accuracy of the data;

[0042] Among them, the data fusion formula is:

[0043]

[0044] In the formula, X f is the fused data, X i is the data collected by the i-th sensor, and w i is the weight of the i-th data;

[0045] Based on a multi-level warning mechanism of hierarchical analysis, through risk assessment and meteorological hierarchical analysis, the system judges the meteorological risk level to achieve accurate short-term warning;

[0046] Automatically adjust response measures and warning strategies according to the current meteorological conditions and historical data to improve the prevention efficiency and reduce risks.

[0047] Preferably, the system further includes:

[0048] A cloud data storage and analysis module, which is used to store a large amount of meteorological data and conduct long-term historical data analysis to optimize the meteorological prediction model and warning strategy;

[0049] A user feedback and optimization module, which is used to collect users' feedback on meteorological warning information and optimize and adjust meteorological prediction and warning strategies based on the feedback information.

[0050] Preferably, the meteorological data processing module is connected to an external meteorological service system, obtains real-time data from the external meteorological service through an API interface, and conducts further analysis and processing.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] The meteorological short-term and imminent warning system proposed by the present invention can not only achieve accurate short-term meteorological warnings, but also greatly reduce the losses caused by meteorological disasters through various means such as multi-sensor data collection, real-time adjustment of intelligent algorithms, hierarchical analysis and warning mechanisms, response measure suggestions, user feedback and optimization, providing an intelligent and refined solution for meteorological disaster management and emergency response. Brief Description of the Drawings

[0053] Figure 1 It is a system framework diagram of the present invention. Detailed Embodiments

[0054] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0055] Referring to Figure 1 As shown, a meteorological short-term and imminent warning system includes: a meteorological data collection module, a meteorological data processing module, a meteorological hierarchical analysis module, a short-term and imminent warning module, and an alarm mechanism module;

[0056] Meteorological data collection module: The meteorological data collection module is used to collect meteorological parameter data in real time, including temperature, humidity, air pressure, wind speed, and wind direction;

[0057] Meteorological data processing module: The meteorological data processing module is electrically connected to the meteorological data collection module. The meteorological data processing module is used to preprocess, clean, and fuse the collected meteorological data to generate a data set that meets the requirements of short-term meteorological prediction;

[0058] Meteorological hierarchical analysis module: The meteorological hierarchical analysis module is electrically connected to the meteorological data processing module. The meteorological hierarchical analysis module is used to perform hierarchical analysis on the processed meteorological data, divide the meteorological conditions into levels according to the set warning rules, and calculate the risk probability of each level;

[0059] Short-term and imminent warning module: The short-term and imminent warning module is electrically connected to the meteorological hierarchical analysis module. The short-term and imminent warning module is used to output short-term meteorological warning information related to the current meteorological conditions according to the hierarchical analysis results, and take corresponding response measures according to different warning levels;

[0060] Alarm mechanism module: The alarm mechanism module is electrically connected to the short-term and imminent warning module. The alarm mechanism module is used to trigger different levels of alarm signals according to the warning information to remind users to take corresponding preventive measures.

[0061] The meteorological data collection module includes:

[0062] A multi-sensor unit for combining and collecting different types of meteorological sensors, including a temperature sensor, a humidity sensor, a barometric pressure sensor, an anemometer, and a wind vane.

[0063] A data transmission unit for transmitting the collected real-time meteorological data to a meteorological data processing module.

[0064] Preferably, the meteorological data processing module includes:

[0065] A data cleaning unit for cleaning invalid data and abnormal data and screening the data.

[0066] A data fusion unit for fusing the data collected by different sensors, eliminating data redundancy between sensors, and improving the credibility of the data through a weighted average method.

[0067] A data formatting unit for converting the processed data into a standard format.

[0068] The meteorological gradation analysis module includes:

[0069] A risk assessment unit for performing risk assessment according to different meteorological parameters, including temperature, humidity, and barometric pressure, and preset meteorological thresholds, classifying the risk levels corresponding to different meteorological conditions into different gradations, and generating a meteorological gradation risk level report.

[0070] Among them, the risk assessment formula is:

[0071]

[0072] In the formula, R i represents the risk level corresponding to the i-th meteorological parameter, w i is the weight of the i-th meteorological parameter, and R z represents the comprehensive risk level;

[0073] An early warning rule setting unit for setting early warning rules for different risk levels according to historical meteorological data and an actual meteorological prediction model, so as to judge the current meteorological conditions and obtain the corresponding early warning level.

[0074] By combining the use of multiple meteorological sensors, various meteorological data are collected in real time, and intelligent algorithms are used to fuse and process these data, effectively reducing data redundancy and improving the reliability of the data. This enables the system to adjust the thresholds and risk levels in real time under different meteorological conditions, thereby achieving more accurate meteorological early warning.

[0075] The risk assessment unit further includes:

[0076] a temperature assessment unit configured to assess the impact of temperature changes on meteorological risks and generate a temperature risk level;

[0077] a wind speed assessment unit configured to assess the impact of wind speed on meteorological risks and generate a wind speed risk level;

[0078] a humidity assessment unit configured to assess the impact of humidity changes on meteorological risks and generate a humidity risk level;

[0079] a air pressure assessment unit configured to assess the impact of air pressure changes on meteorological risks and generate an air pressure risk level;

[0080] a comprehensive assessment unit configured to perform weighted integration on the risk levels generated by different assessment units to generate a final meteorological hierarchical risk level;

[0081] By performing hierarchical analysis, different meteorological conditions are divided into different risk levels, and a meteorological hierarchical risk level report is generated. Based on the multi-level early warning mechanism of risk levels, the system can dynamically output early warning information at different levels according to meteorological changes and take corresponding response measures according to the early warning level. Such hierarchical analysis can more carefully assess risks and improve the timeliness and sensitivity of early warnings.

[0082] The short-term and imminent early warning module includes:

[0083] a meteorological early warning generation unit configured to generate meteorological early warning information at different levels according to the risk level output by the meteorological hierarchical analysis module, where the early warning information includes the type of meteorological phenomenon, occurrence time, duration, and influence range;

[0084] a decision support unit configured to provide predictive analysis of short-term meteorological changes to users according to the early warning information to assist users in making decisions.

[0085] The alarm mechanism module includes:

[0086] a hierarchical alarm unit configured to generate alarm signals at different levels according to the meteorological early warning level, where the alarm signals can include forms such as audible and visual alarms, text message notifications, and phone reminders;

[0087] a response measure suggestion unit configured to provide suggestion on preventive measures to users according to the early warning level, such as strengthening the building structure when the wind speed is too high and reminding to pay attention to heatstroke prevention when the temperature is too high;

[0088] A historical record unit, which is used to record alarm information and response measures, and optimize early warning rules and response strategies according to historical data;

[0089] The system is equipped with a hierarchical alarm unit, which can generate different levels of alarm signals according to the meteorological early warning level. The alarm forms include audible and visual alarms, SMS notifications, phone reminders, etc., which can ensure that users receive early warning information in a timely manner and take effective preventive measures.

[0090] Preferably, the system is adjusted in real time through intelligent algorithms to adapt to changes in different meteorological conditions, specifically including:

[0091] Automatically adjust meteorological thresholds according to historical data, real-time meteorological changes, and machine learning algorithms;

[0092] Fuse the data collected by meteorological sensors and use a weighted algorithm to improve the reliability and accuracy of the data;

[0093] Among them, the data fusion formula is:

[0094]

[0095] In the formula, X f is the fused data, X i is the data collected by the i-th sensor, and w i is the weight of the i-th data;

[0096] Based on a multi-level early warning mechanism of hierarchical analysis, through risk assessment and meteorological hierarchical analysis, the system judges the meteorological risk level to achieve accurate short-term and imminent early warning;

[0097] Automatically adjust response measures and early warning strategies according to the current meteorological conditions and historical data to improve the prevention efficiency and reduce risks.

[0098] The system further includes:

[0099] A cloud data storage and analysis module, which is used to store a large amount of meteorological data and conduct long-term historical data analysis to optimize the meteorological prediction model and early warning strategy;

[0100] A user feedback and optimization module, which is used to collect user feedback on meteorological early warning information and optimize and adjust meteorological prediction and early warning strategies based on the feedback information.

[0101] Preferably, the meteorological data processing module is connected to an external meteorological service system, and obtains real-time data provided by the external meteorological service through an API interface, and conducts further analysis and processing.

[0102] In summary, the advantages of the present invention are as follows:

[0103] By combining the use of multiple meteorological sensors, the present invention can collect various meteorological data in real time, and uses intelligent algorithms to fuse and process these data, effectively reducing data redundancy and improving data reliability. This enables the system to adjust thresholds and risk levels in real time under different meteorological conditions, thereby achieving more accurate meteorological warnings;

[0104] The system divides different meteorological conditions into different risk levels through hierarchical analysis and generates a meteorological hierarchical risk level report. Based on the multi-level warning mechanism of the risk level, the system can dynamically output warning information at different levels according to meteorological changes and take corresponding response measures according to the warning level. Such hierarchical analysis can more carefully evaluate risks and improve the timeliness and sensitivity of warnings;

[0105] Through intelligent algorithms, the system can automatically adjust response measures and warning strategies according to real-time meteorological changes. The system can not only output short-term meteorological warnings according to meteorological changes, but also provide users with specific preventive measure suggestions, such as suggesting strengthening buildings when the wind speed is too high and reminding to pay attention to heatstroke when the temperature is too high, further improving the effect of disaster prevention and mitigation;

[0106] The system stores a large amount of meteorological data and conducts long-term historical data analysis through the cloud data storage and analysis module. This storage and analysis method not only optimizes the meteorological prediction model and warning strategy, but also can continuously optimize the system performance according to user feedback, enabling the system to gradually adapt to different meteorological changes and warning requirements;

[0107] The system is equipped with a hierarchical alarm unit, which can generate alarm signals at different levels according to the meteorological warning level. The alarm forms include audible and visual alarms, SMS notifications, phone reminders, etc., which can ensure that users receive warning information in time and take effective preventive measures;

[0108] The user feedback module can adjust and optimize the meteorological prediction model and warning strategy according to the user's feedback on warning information. This self-optimization mechanism helps to improve the accuracy of warnings and ensures that the system can continuously adapt to new meteorological trends and user needs during long-term operation;

[0109] The system can connect to an external meteorological service system through a data interface, obtain external real-time meteorological data through an API interface, and fuse it with the locally collected data, further improving the accuracy and comprehensiveness of warnings. This makes the system highly extensible and can access different meteorological data sources.

[0110] The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, various changes and improvements will occur to the present invention, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A meteorological cascaded short-term warning system, characterized in that: include: Meteorological data acquisition module, meteorological data processing module, meteorological cascade analysis module, short-term warning module and alarm mechanism module; Meteorological data acquisition module: The meteorological data acquisition module is used to collect meteorological parameter data in real time, including temperature, humidity, air pressure, wind speed and wind direction; Meteorological data processing module: The meteorological data processing module is electrically connected to the meteorological data acquisition module, and the meteorological data processing module is used to pre-process, clean and fuse the collected meteorological data to generate a data set that meets the needs of short-term meteorological forecasting; Meteorological cascade analysis module: The meteorological cascade analysis module is electrically connected to the meteorological data processing module, and is used to perform cascade analysis on the processed meteorological data, classify meteorological conditions into levels according to the set early warning rules, and calculate the risk probability of each level; Short-term warning module: The short-term warning module is electrically connected to the meteorological cascade analysis module. The short-term warning module is used to output short-term meteorological warning information related to current meteorological conditions according to the cascade analysis results, and take corresponding response measures according to different warning levels; Alarm mechanism module: The alarm mechanism module is electrically connected to the short-term warning module. The alarm mechanism module is used to trigger alarm signals of different levels according to the warning information to remind the user to take corresponding preventive measures.

2. A meteorological cascaded short-term warning system according to claim 1, characterized in that: The meteorological data acquisition module comprises: A multi-sensor unit, which is used for different types of meteorological sensors, including temperature sensors, humidity sensors, air pressure sensors, anemometers and wind vanes, for combined collection; A data transmission unit, wherein the data transmission unit is used to transmit the collected real-time meteorological data to the meteorological data processing module.

3. A meteorological cascaded short-term warning system according to claim 2, characterized in that: The meteorological data processing module comprises: A data cleaning unit, which is used to clean invalid data and abnormal data and screen the data; A data fusion unit, which is used to fuse data collected by different sensors, eliminate data redundancy between sensors, and improve the credibility of data through a weighted average method; A data formatting unit is used to convert the processed data into a standard format.

4. A meteorological cascaded short-term warning system according to claim 3, characterized in that: The meteorological cascade analysis module includes: A risk assessment unit, which is used to perform risk assessment according to different meteorological parameters, including temperature, humidity and air pressure, and preset meteorological thresholds, divide the risk levels corresponding to different meteorological conditions into different levels, and generate a meteorological level risk level report; The risk assessment formula is: In the formula, R i represents the risk level corresponding to the i-th meteorological parameter, w i is the weight of the i-th meteorological parameter, R z Indicates the overall risk level; The warning rule setting unit is used to set warning rules of different risk levels according to historical meteorological data and actual meteorological forecast models, so as to judge the current meteorological conditions and obtain the corresponding warning level.

5. A meteorological cascaded short-term warning system according to claim 4, characterized in that: The risk assessment unit further comprises: A temperature assessment unit, the temperature assessment unit is used to assess the impact of temperature changes on meteorological risks and generate a temperature risk level; A wind speed assessment unit, the wind speed assessment unit is used to assess the impact of wind speed on meteorological risks and generate a wind speed risk level; A humidity assessment unit, the humidity assessment unit is used to assess the impact of humidity changes on meteorological risks and generate a humidity risk level; An air pressure assessment unit, the air pressure assessment unit is used to assess the impact of air pressure changes on meteorological risks and generate an air pressure risk level; The comprehensive assessment unit is used to perform weighted integration of the risk levels generated by different assessment units to generate a final meteorological tiered risk level.

6. A meteorological cascaded short-term warning system according to claim 5, characterized in that: The short-term warning module includes: A meteorological warning generation unit, wherein the meteorological warning generation unit generates meteorological warning information of different levels according to the risk level output by the meteorological cascade analysis module, wherein the warning information includes the type, occurrence time, duration and impact range of the meteorological phenomenon; The decision support unit provides users with forecast analysis of short-term meteorological changes based on early warning information to assist users in making decisions.

7. A meteorological cascaded short-term warning system according to claim 6, characterized in that: The alarm mechanism module includes: A graded alarm unit, which generates alarm signals of different levels according to the meteorological warning level. The alarm signals may include sound and light alarms, SMS notifications, and telephone reminders; A response measure suggestion unit, which provides preventive measure suggestions to users according to the warning level, such as strengthening the building structure when the wind speed is too high and reminding users to pay attention to heat stroke when the temperature is too high; The history recording unit is used to record alarm information and response measures, and optimize early warning rules and response strategies based on historical data.

8. A meteorological cascaded short-term warning system according to claim 7, characterized in that: The system uses intelligent algorithms to make real-time adjustments to adapt to changes in different meteorological conditions, including: Automatically adjust meteorological thresholds based on historical data, real-time meteorological changes, and machine learning algorithms; Fuse the data collected by meteorological sensors and use weighted algorithms to improve the reliability and accuracy of the data; The data fusion formula is: Where, X f is the fused data, X i is the data collected by the i-th sensor, w i is the weight of the i-th data; A multi-level early warning mechanism based on tiered analysis can systematically determine the meteorological risk level through risk assessment and meteorological tiered analysis to achieve accurate short-term early warning. Automatically adjust response measures and warning strategies based on current meteorological conditions and historical data to improve prevention efficiency and reduce risks.

9. A meteorological cascaded short-term warning system according to claim 8, characterized in that: The system further comprises: A cloud data storage and analysis module, which is used to store a large amount of meteorological data and perform long-term historical data analysis to optimize meteorological forecast models and early warning strategies; The user feedback and optimization module is used to collect user feedback on meteorological warning information, and optimize and adjust meteorological forecast and warning strategies based on the feedback information.

10. A meteorological cascaded short-term warning system according to claim 9, characterized in that: The meteorological data processing module is connected to an external meteorological service system, obtains real-time data provided by the external meteorological service through an API interface, and performs further analysis and processing.

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