Meteorological disaster monitoring and early warning method and system based on meteorological data and computer

Abstract

The present application relates to the technical field of meteorological disaster early warning, in particular to a meteorological disaster monitoring and early warning method and system based on meteorological data and a computer, the method comprising: calculating an enhancement coefficient of the channeling effect; obtaining meteorological data of an early warning area that needs meteorological disaster early warning; correcting the wind speed through the forecast wind speed and the enhancement coefficient for each high-rise building; determining whether early warning is needed or the early warning level needs to be adjusted for push early warning; the present application can calculate and count the enhancement coefficient of the high-rise building with the channeling effect and obtain the average value, can provide a general reference enhancement coefficient, can realize the quantification of the channeling effect, and can realize the independent early warning of the high-rise building with the channeling effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of meteorological disaster early warning, and particularly relates to a meteorological disaster monitoring and early warning method and system based on meteorological data and a computer. BACKGROUND

[0002] Meteorological data in the ground-air environment can be collected by a meteorological detection station, and weather information of a certain area can be predicted by analyzing the meteorological data. Then, existing meteorological disaster early warning is mainly based on large-scale meteorological monitoring data, which is difficult to accurately predict the meteorological disaster intensity and influence range in a local area, especially in a complex urban terrain. Moreover, with modern cities being full of high-rise buildings, the channeling effect is significant, and the existing technology often ignores the enhancement effect of the channeling effect between high-rise buildings on meteorological disasters, resulting in a large discount in the accuracy and practicality of early warning information in a local area, especially for wind power early warning in a typhoon day. For example, the predicted wind speed is not enough to cause a meteorological disaster or does not need to be reinforced, so the traditional meteorological disaster early warning does not provide early warning. However, once the wind speed is amplified by the channeling effect, the wind speed reaches the warning wind speed, and then the missing report occurs, which may lead to accidents if the windows are not closed, reinforced, or avoided in time. Therefore, a meteorological disaster monitoring and early warning method and system based on meteorological data that can more accurately monitor and early warn meteorological disasters in high-rise buildings is needed. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a meteorological disaster monitoring and early warning method and system based on meteorological data that can more accurately monitor and early warn meteorological disasters in high-rise buildings.

[0004] To solve the above technical problem, the first technical solution adopted by the present application is:

[0005] A meteorological disaster monitoring and early warning method based on meteorological data, comprising:

[0006] Calculating the enhancement coefficient of the channeling effect

[0007] Selecting sample pairs: selecting a high-rise area in a city, and taking every two adjacent high-rise buildings as a sample pair, thereby obtaining n sample pairs, and the height of each high-rise building is higher than 50 m;

[0008] Modeling the sample pairs: taking the height of the lower high-rise building as the reference height for each sample pair; the face between the central axes of the two high-rise buildings of the sample pair is the reference face, and the airflow generated by the pre-set air duct is perpendicular to the reference face; calculating the air duct cross-sectional area at the entrance of the sample pair and the air duct cross-sectional area at the narrowest part of the sample pair , and obtaining the free wind speed at the entrance ​and the free wind speed at the narrowest place ; according to the calculation formula k= The enhancement coefficient set K of all sample pairs is obtained by calculation, K={ 、 、 、……、 }, The sum of the set K is equal to n;

[0009] Disaster warning: obtain the meteorological data of the warning area where meteorological disaster warning needs to be carried out, select the warning pair of the warning area according to the same selection method and modeling method and model it; the surface between the central axes of the two high-rise buildings in the warning pair is the warning surface; the meteorological data includes the predicted wind speed At the same time, determine the angle θ between the predicted wind direction and the warning surface, and calculate the wind speed v= When cos(θ)=0, then v= ; each high-rise building in the warning pair judges whether it needs to be warned or adjusts the warning level to push the warning according to the value of v.

[0010] Preferably, if a high-rise building receives multiple different warning levels, the highest warning level is pushed.

[0011] Preferably, when the sample pair and the warning pair are screened, the maximum distance between the two high-rise buildings is less than or equal to 1.2 times the reference height.

[0012] Preferably, when the high-rise buildings in the sample pair and the warning pair are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column, or a cylindrical column;

[0013] A reference surface parallel to the reference surface is established, the edge closest to the reference surface of the replacement model is selected as the first reference edge and the second reference edge, the bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form the wind tunnel cross section at the entrance;

[0014] If the surface of the replacement model facing the reference surface is a plane, select the edge farthest from the reference surface as the first reference edge or the second reference edge.

[0015] Preferably, when a meteorological disaster occurs, the height of the shorter high-rise building in the warning pair is taken as the reference height; the wind tunnel cross section area at the entrance of the warning pair and the wind tunnel cross section area at the narrowest place of the warning pair At the same time, the disaster wind speed at the entrance between the two high-rise buildings of the warning pair is obtained ​​​Disaster wind speed at the narrowest place According to the calculation formula = × The enhancement coefficient of the narrow pipe effect during the meteorological disaster is calculated , and the of the early warning pair is replaced .

[0016] To solve the above technical problems, the second technical scheme adopted by the present application is:

[0017] A meteorological disaster monitoring and early warning system based on meteorological data, comprising:

[0018] The coefficient calculation module calculates the enhancement coefficient of the narrow pipe effect :

[0019] Selecting sample pairs: selecting high-rise areas in cities, and taking every two adjacent high-rise buildings as a sample pair, thereby obtaining n sample pairs, and the height of each high-rise building is higher than 50m;

[0020] Modeling the sample pairs: each sample pair takes the height of the shorter high-rise building as the reference height; the surface between the central axes of the two high-rise buildings of the sample pair is the reference surface, and the airflow generated by the pre-set air duct is perpendicular to the reference surface; the cross-sectional area of the air duct at the entrance of the sample pair is calculated according to the reference height and the cross-sectional area of the air duct at the narrowest place of the sample pair , the free wind speed at the entrance and the free wind speed at the narrowest place are obtained at the same time; the calculation formula k= × is used to calculate the enhancement coefficient set K of all sample pairs, K={ 、 、 、……、 }, which is equal to the sum of the set K divided by n;

[0021] The disaster early warning module: obtaining the meteorological data of the early warning area that needs to be early warned for meteorological disasters, selecting the early warning pair of the early warning area according to the same selection method and modeling method of the sample pair and modeling it; when modeling, the surface between the central axes of the two high-rise buildings of the early warning pair is the early warning surface; the meteorological data includes the forecast wind speed , and the angle θ between the forecast wind direction and the early warning surface is determined, and the calculation through wind speed v= × × ; when cos (θ) = 0, then v= ; each high-rise building of the early warning pair judges whether it needs to be early warned or adjusts the level of early warning according to the value of v to push the early warning.

[0022] Preferably, the meteorological disaster monitoring and early warning system comprises an alarm module.

[0023] If a high-rise building receives multiple different early warning levels, the highest early warning level is pushed, and the alarm module alarms after receiving the push.

[0024] Preferably, when the sample pair and the early warning pair are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column, or a cylindrical column.

[0025] A reference surface parallel to the reference surface is established, and the edge closest to the reference surface of the replacement model is selected as the first reference edge and the second reference edge. The bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form a wind tunnel cross section at the entrance.

[0026] If one side of the replacement model facing the reference surface is a plane, the edge farthest from the reference surface is selected as the first reference edge or the second reference edge.

[0027] Preferably, the meteorological disaster monitoring and early warning system further comprises a measurement module.

[0028] The measurement module comprises a first anemometer and a second anemometer.

[0029] When a meteorological disaster occurs, the height of the lower high-rise building in the early warning pair is taken as the reference height, and the wind tunnel cross section area at the entrance of the early warning pair and the wind tunnel cross section area at the narrowest part of the early warning pair are obtained. The first anemometer obtains the disaster wind speed at the entrance between the two high-rise buildings in the early warning pair and the second anemometer obtains the disaster wind speed at the narrowest part . The enhancement coefficient of the narrow tube effect during the meteorological disaster is calculated according to the calculation formula = and is replaced by .

[0030] To solve the above technical problems, the third technical scheme adopted by the present application is:

[0031] A computer comprises a processor and a memory, the memory is used to store a program, when the program is executed by the processor, the processor realizes the method of any one of the above.

[0032] The beneficial effects of the present application are that: by calculating the enhancement coefficient of the channeling effect, the enhancement coefficient of the high-rise building with the channeling effect can be calculated and the average value is obtained, since the shapes of modern buildings are various and basically rarely repeated, if the enhancement coefficient of each building is calculated, it has no reference significance, therefore, by obtaining the average value, a general reference enhancement coefficient can be provided, and the quantification of the channeling effect can be realized; and based on the existing meteorological data, the warning is corrected, the high-rise building with the channeling effect can be independently warned according to the value of v, and when cos (θ) = 0, it does not mean that the wind disappears, but the wind direction is perpendicular to the warning surface and cannot pass between the buildings, and the channeling effect cannot be generated, at this time, the normal prediction is carried out by using the predicted wind speed, and the warning effect is ensured; and the absolute value of cos (θ) can be calculated when the wind direction is reversed, and since the surface structure design of the windward surface and the leeward surface of the high-rise building is basically the same in order to realize the force balance of the wind force, a general formula can be realized; by calculating the enhancement coefficient of the channeling effect, the government, enterprises and residents can take graded measures for different buildings. BRIEF DESCRIPTION OF DRAWINGS

[0033] Fig. 1 It is a first modeling schematic diagram of a meteorological disaster monitoring and warning method based on meteorological data according to an embodiment of the present application (the blue area is the wind channel cross section at the entrance, and the red area is the wind channel cross section at the narrowest position);

[0034] Fig. 2 It is a second modeling schematic diagram of a meteorological disaster monitoring and warning method based on meteorological data according to an embodiment of the present application (the blue area is the wind channel cross section at the entrance, and the red area is the wind channel cross section at the narrowest position);

[0035] Fig. 3 It is a third modeling schematic diagram of a meteorological disaster monitoring and warning method based on meteorological data according to an embodiment of the present application (the blue area is the wind channel cross section at the entrance, and the red area is the wind channel cross section at the narrowest position);

[0036] Fig. 4 It is a fourth modeling schematic diagram of a meteorological disaster monitoring and warning method based on meteorological data according to an embodiment of the present application (the blue area is the wind channel cross section at the entrance, and the red area is the wind channel cross section at the narrowest position);

[0037] Label explanation: 1, reference height; 2, wind channel cross section at the entrance; 3, wind channel cross section at the narrowest position; 4, first reference edge; 5, second reference edge. DETAILED DESCRIPTION

[0038] To explain the technical content of the present application, the purposes achieved and the effects in detail, the following will be described in conjunction with the embodiments and the accompanying drawings.

[0039] Please refer to Figs. 1 to 4 A meteorological disaster monitoring and early warning method based on meteorological data, comprising:

[0040] Calculate the enhancement coefficient of the narrow tube effect :

[0041] Select sample pairs: select high-rise areas in the city, and every two adjacent high-rise buildings as a sample pair, and then obtain n sample pairs, and the height of each high-rise building is higher than 50m;

[0042] Model the sample pairs: each sample pair takes the height of the shorter high-rise building as the reference height 1; the surface between the two central axes of the two high-rise buildings of the sample pair is the reference surface, and the airflow generated by the pre-set air duct is perpendicular to the reference surface; calculate the cross-sectional area 2 of the air duct at the entrance of the sample pair according to the reference height And the cross-sectional area 4 of the air duct at the narrowest part of the sample pair At the same time, obtain the free wind speed at the entrance And the free wind speed at the narrowest part ; according to the calculation formula k= × Calculate the enhancement coefficient set K of all sample pairs, K={ 、 、 、……、 }, The sum of the set K divided by n;

[0043] Disaster warning: obtain the meteorological data of the warning area that needs to be warned of meteorological disasters, select the warning pairs of the warning area according to the same selection method and modeling method of the sample pairs and model them; when modeling, the surface between the two central axes of the two high-rise buildings of the warning pair is the warning surface; the meteorological data includes the forecast wind speed At the same time, determine the angle θ between the forecast wind direction and the warning surface, and calculate the through wind speed v= × × ; when cos(θ)=0, then v= ; each high-rise building of the warning pair judges whether it needs to be warned or adjusts the level of the warning to push the warning according to the value of v.

[0044] From the above description, by calculating the enhancement coefficient of the narrow pipe effect, the enhancement coefficient of the high-rise building with the narrow pipe effect can be calculated and the mean value is obtained. Since the shapes of modern buildings are various and basically there is no repetition, if the enhancement coefficient of each building is calculated, it has no reference significance. Therefore, by obtaining the mean value, a general reference enhancement coefficient can be provided, and the quantification of the narrow pipe effect can be realized. Based on the existing meteorological data, the warning is corrected, and the high-rise building with the narrow pipe effect can be independently warned according to the value of v. When cos(θ)=0, it does not mean that the wind disappears, but the wind direction is perpendicular to the warning surface and cannot pass between the buildings, so as to produce the narrow pipe effect. At this time, the normal prediction is carried out by using the predicted wind speed to ensure the warning effect. When the absolute value of cos(θ) is taken, the calculation can still be carried out when the wind direction is reversed. Since the surface structure design of the windward surface and the leeward surface of the high-rise building is basically the same in order to realize the force balance of the wind force, a general formula can be realized. By calculating the enhancement coefficient of the narrow pipe effect, the government, enterprises and residents can take graded measures to different buildings.

[0045] Further, if a high-rise building receives multiple different warning levels, the highest warning level is pushed.

[0046] From the above description, since many high-rise buildings are high-rise building groups, i.e. more than 3 high-rise buildings in an area, multiple warning levels may be generated, and the highest level can be directly used for warning.

[0047] Further, when the sample pair and the warning pair are screened, the maximum distance between the two high-rise buildings is less than or equal to 1.2 times the reference height.

[0048] From the above description, by ensuring the existence of the maximum distance, the narrow pipe effect is weak due to the large distance, and there is no special prediction significance.

[0049] Further, when the high-rise buildings of the sample pair and the warning pair are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column or a cylindrical column.

[0050] A reference surface parallel to the reference surface is established, the edge closest to the reference surface of the replacement model is selected as the first reference edge 4 and the second reference edge 5, the bottom of the first reference edge 4 and the bottom of the second reference edge 5 are connected, and the top of the first reference edge 4 and the top of the second reference edge 5 are connected to form the wind channel cross section at the entrance.

[0051] If one side of the replacement model facing the reference surface is a plane, the edge farthest from the reference surface is selected as the first reference edge 4 or the second reference edge 5.

[0052] From the above description, since the shape of many modern high-rise buildings is very complex, the engineering quantity is very large if calculated according to the shape, therefore, in order to improve efficiency and reduce cost, through model replacement, the calculation quantity can be greatly reduced and the efficiency can be improved.

[0053] Further, when a meteorological disaster occurs, the height of the relatively lower high-rise building is taken as the reference height for early warning; the cross-sectional area of the air duct at the entrance and the cross-sectional area of the air duct at the narrowest part are calculated, and the disaster wind speed at the entrance and the disaster wind speed at the narrowest part between the two high-rise buildings in the early warning are obtained. According to the calculation formula = × , the enhancement coefficient of the narrow pipe effect during the meteorological disaster is calculated , and is replaced by .

[0054] From the above description, through real test, the early warning effect can be ensured, and the enhancement coefficient of the narrow pipe effect is calculated for generality, and the existence of ensures the targeted effect, for example, in the case that the prediction effect of some high-rise buildings is not accurate, this method can be used for calibration.

[0055] A meteorological disaster monitoring and early warning system based on meteorological data, comprising:

[0056] A coefficient calculation module for calculating the enhancement coefficient of the narrow pipe effect :

[0057] Selecting sample pairs: selecting high-rise building areas in a city, and taking every two adjacent high-rise buildings as a sample pair, thereby obtaining n sample pairs, and the height of each high-rise building is higher than 50m;

[0058] Modeling the sample pairs: taking the height of the relatively lower high-rise building as the reference height for each sample pair; the surface between the two high-rise buildings in the sample pair is the reference surface, and the airflow generated by the preset air duct is perpendicular to the reference surface; calculating the cross-sectional area of the air duct at the entrance of the sample pair and the cross-sectional area of the air duct at the narrowest part of the sample pair according to the reference height, and obtaining the free wind speed at the entrance and the free wind speed at the narrowest part ; calculating the enhancement coefficient set K of all sample pairs according to the calculation formula k= × , K={ 、 、 、……、 }, is equal to the sum of the set K divided by n;

[0059] The disaster warning module: obtain the meteorological data of the warning area which needs to be warned of meteorological disasters, select the warning pair of the warning area according to the same selection method and modeling method, and model it; When modeling, the surface between the central axes of the two high-rise buildings of the warning pair is the warning surface; The meteorological data includes the predicted wind speed At the same time, determine the angle θ between the predicted wind direction and the warning surface, and calculate the wind speed v= × × ; When cos(θ)=0, then v= ; Each high-rise building of the warning pair judges whether it needs to be warned or adjusts the warning level to push the warning according to the value of v.

[0060] Further, the meteorological disaster monitoring and warning system comprises an alarm module;

[0061] If a high-rise building receives multiple different warning levels, the highest warning level is pushed, and the alarm module alarms after receiving the push.

[0062] Further, when modeling the sample pair and the high-rise building of the warning pair, the shape of the high-rise building is replaced by a triangular column, a rectangular column or a cylindrical column;

[0063] A reference surface parallel to the reference surface is established, the edge closest to the reference surface of the replacement model is selected as the first reference edge and the second reference edge, the bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form the wind tunnel cross section at the entrance;

[0064] If one side of the replacement model facing the reference surface is a plane, select the edge farthest from the reference surface as the first reference edge or the second reference edge.

[0065] Further, the meteorological disaster monitoring and warning system further comprises a measurement module;

[0066] The measurement module comprises a first anemometer and a second anemometer;

[0067] When a meteorological disaster occurs, the height of the shorter high-rise building in the warning pair is taken as the reference height; The wind tunnel cross section area at the entrance of the warning pair and the wind tunnel cross section area at the narrowest part of the warning pair , and the first anemometer obtains the disaster wind speed at the entrance between the two high-rise buildings of the warning pair and the second anemometer obtains the narrowest disaster wind speed , according to the calculation formula = × The enhancement coefficient of the narrow pipe effect during the meteorological disaster is calculated , and is replaced by the warning pair .

[0068] Embodiment one

[0069] A meteorological disaster monitoring and warning method based on meteorological data, comprising:

[0070] Calculate the enhancement coefficient of the narrow pipe effect :

[0071] Select sample pairs: select high-rise areas in cities, and every two adjacent high-rise buildings as a sample pair, and then obtain n sample pairs, and the height of each high-rise building is higher than 50m;

[0072] Model the sample pairs: each sample pair takes the height of the lower high-rise building as the reference height; the surface between the central axes of the two high-rise buildings of the sample pair is the reference surface, and the airflow generated by the pre-set air duct is perpendicular to the reference surface; calculate the air duct cross-sectional area at the entrance of the sample pair according to the reference height and the air duct cross-sectional area at the narrowest part of the sample pair , and obtain the free wind speed at the entrance and the free wind speed at the narrowest part ; calculate the enhancement coefficient set K of all sample pairs according to the calculation formula k= × , K={ 、 、 、……、 }, which is equal to the sum of the set K divided by n;

[0073] Disaster warning: obtain the meteorological data of the warning area that needs to be warned of meteorological disasters, select the warning pair of the warning area according to the same selection method and modeling method of the sample pair and model it; when modeling, the surface between the central axes of the two high-rise buildings of the warning pair is the warning surface; the meteorological data includes the forecast wind speed , and determine the angle θ between the forecast wind direction and the warning surface, calculate the wind speed v= × × ; when cos(θ)=0, then v= ; each high-rise building of the warning pair judges whether it needs to be warned or adjusts the level of the warning to push the warning according to the value of v.

[0074] If a high-rise building receives multiple different warning levels, the highest level of warning is pushed.

[0075] When the sample pair and the warning pair are screened, the maximum distance between the two high-rise buildings is less than or equal to 1.2 times the reference height.

[0076] When the sample pair and the warning pair of high-rise buildings are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column, or a cylindrical column.

[0077] A reference surface parallel to the reference surface is established, and the edge closest to the reference surface is selected as the first reference edge and the second reference edge. The bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form the wind tunnel cross section at the entrance.

[0078] If the side of the replacement model facing the reference surface is a plane, select the edge farthest from the reference surface as the first reference edge or the second reference edge.

[0079] When a meteorological disaster occurs, the height of the shorter high-rise building in the warning pair is taken as the reference height, and the wind tunnel cross-sectional area at the entrance of the warning pair and the wind tunnel cross-sectional area at the narrowest part of the warning pair The entrance disaster wind speed and the narrowest disaster wind speed between the two high-rise buildings in the warning pair are obtained. = × The enhancement coefficient of the narrow channel effect during the meteorological disaster is calculated according to the formula , and is replaced by .

[0080] Embodiment two

[0081] A meteorological disaster monitoring and warning system based on meteorological data, comprising:

[0082] Coefficient calculation module: calculate the enhancement coefficient of the narrow channel effect :

[0083] Select a sample pair: select a high-rise area in the city, and every two adjacent high-rise buildings as a sample pair, and then obtain n sample pairs, and the height of each high-rise building is higher than 50m.

[0084] Modeling the sample pair: each sample pair takes the height of the shorter building as the reference height; the face between the central axes of the two buildings of the sample pair is the reference face, and the airflow generated by the preset air duct is perpendicular to the reference face; the cross-sectional area of the air duct at the entrance of the sample pair is calculated according to the reference height and the cross-sectional area of the air duct at the narrowest part of the sample pair , the free wind speed at the entrance is obtained and the free wind speed at the narrowest part ; the calculation formula k= × is used to obtain the set K of all sample pairs, K={ 、 、 、……、 }, the sum of the set K is equal to n;

[0085] Disaster warning module: obtain the meteorological data of the warning area that needs to be warned of meteorological disasters, select the warning pair of the warning area in the same way and model it; when modeling, the face between the central axes of the two buildings of the warning pair is the warning face; the meteorological data includes the forecast wind speed , and the angle θ between the forecast wind direction and the warning face is determined, and the calculation through wind speed v= × × ; when cos(θ)=0, then v= ; each building of the warning pair determines whether to issue a warning or adjust the warning level according to the value of v.

[0086] The meteorological disaster monitoring and warning system comprises an alarm module.

[0087] If a building receives multiple different warning levels, the highest warning level is pushed, and the alarm module alarms after receiving the push.

[0088] When modeling the buildings of the sample pair and the warning pair, the shape of the building is replaced by a triangular column, a rectangular column, or a circular column;

[0089] A reference plane parallel to the reference plane is established, and the edge closest to the reference plane of the replacement model is selected as the first reference edge and the second reference edge, and the bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form the cross section of the air duct at the entrance.

[0090] If the side of the replacement model facing the reference plane is a plane, select the edge farthest from the reference plane as the first reference edge or the second reference edge.

[0091] The meteorological disaster monitoring and early warning system further comprises a measurement module;

[0092] The measurement module comprises a first anemometer and a second anemometer;

[0093] When a meteorological disaster occurs, the height of a relatively short high-rise building is taken as a reference height for early warning; the cross-sectional area of the air duct at the entrance is early warned and the cross-sectional area of the air duct at the narrowest part is early warned Meanwhile, the first anemometer obtains the disaster wind speed at the entrance between the two high-rise buildings for early warning and the second anemometer obtains the disaster wind speed at the narrowest part According to a calculation formula = × , the enhancement coefficient of the funnel effect during the meteorological disaster is calculated , and is substituted for .

[0094] Embodiment Three

[0095] A computer comprises a processor and a memory, the memory is used to store a program, when the program is executed by the processor, the processor realizes the method in embodiment one.

[0096] The above is only an embodiment of the present application, and does not limit the patent scope of the present application, any equivalent transformation or direct or indirect application in the related technical field by using the content of the present application specification and drawings is also included in the patent protection scope of the present application.

Claims

1. A method for monitoring and early warning of meteorological disasters based on meteorological data, characterized in that, The method comprises the following steps: Enhancement factor for calculating the pinch effect : Selecting sample pairs: selecting high-rise areas in a city, and taking every two adjacent high-rise buildings as a sample pair, thereby obtaining n sample pairs, and the height of each high-rise building is higher than 50 m; Modeling sample pairs: each sample pair takes the height of the shorter building as the reference height; the plane between the center axes of the two buildings of the sample pair is the reference plane, and the airflow generated by the pre-set air duct is perpendicular to the reference plane; calculate the cross-sectional area of the air duct at the entrance of the sample pair according to the reference height and the cross-sectional area of the air duct at the narrowest part of the sample pair At the same time, the free wind speed at the entrance and the free wind speed at the narrowest part are obtained; the calculated formula k= × is used to obtain the enhanced coefficient set K of all sample pairs, K={ 、 、 、 }, which is equal to the sum of the set K divided by n; Disaster warning: obtain meteorological data of a warning area needing meteorological disaster warning, select a warning pair of the warning area according to the same selection method and modeling method and model the warning pair; the surface between the central axes of the two high-rise buildings of the warning pair is a warning surface; the meteorological data includes predicted wind speed At the same time, determine the angle θ between the predicted wind direction and the warning surface, and calculate the wind speed v= When cos (θ) = 0, then v= ; each high-rise building of the warning pair judges whether it needs to be warned or readjusts the warning level to push the warning according to the value of v.​​ 2.The weather disaster monitoring and early warning method based on weather data according to claim 1, characterized in that, If a high-rise building receives multiple different warning levels, the highest warning level is pushed. 3.The weather disaster monitoring and early warning method based on weather data according to claim 1, characterized in that, When the sample pairs and the warning pairs are screened, the maximum distance between the two high-rise buildings is less than or equal to 1.2 times the reference height. 4.The method of claim 1, wherein, When the high-rise buildings of the sample pairs and the warning pairs are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column or a cylindrical column; A reference surface parallel to the reference surface is established, and the edge closest to the reference surface is selected as the first reference edge and the second reference edge, the bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form a wind tunnel cross section at the entrance; If one side of the replacement model facing the reference surface is a plane, the edge farthest from the reference surface is selected as the first reference edge or the second reference edge. 5.The method of claim 4, wherein, When the meteorological disaster occurs, the height of the relatively low high-rise building in the early warning pair is taken as the reference height; the cross-sectional area of the air duct at the entrance of the early warning pair and the cross-sectional area of the air duct at the narrowest part of the early warning pair are obtained Meanwhile, the disaster wind speed at the entrance between the two high-rise buildings in the early warning pair and the disaster wind speed at the narrowest part are obtained According to the calculation formula = The enhancement coefficient of the narrow pipe effect when the meteorological disaster occurs is obtained and the of the early warning pair is replaced by 6. A meteorological disaster monitoring and early warning system based on meteorological data, characterized in that, The method comprises the following steps: Coefficient calculation module: calculates the enhancement coefficient of the pipe effect : Selecting sample pairs: selecting high-rise areas in a city, and taking every two adjacent high-rise buildings as a sample pair, thereby obtaining n sample pairs, and the height of each high-rise building is higher than 50 m; Modeling sample pairs: each sample pair takes the height of the shorter building as the reference height; the plane between the center axes of the two buildings of the sample pair is the reference plane, and the airflow generated by the pre-set air duct is perpendicular to the reference plane; calculate the cross-sectional area of the air duct at the entrance of the sample pair according to the reference height and the cross-sectional area of the air duct at the narrowest part of the sample pair , and obtain the free wind speed at the entrance and the free wind speed at the narrowest part ; according to the calculation formula k= × , calculate the obtained enhanced coefficient set K of all sample pairs K={k 、 、 、……、 }, which is equal to the sum of the set K divided by n; The disaster early warning module: obtains meteorological data of an early warning area needing meteorological disaster early warning, selects early warning pairs of the early warning area according to the same selection mode and modeling mode and models the early warning pairs; a surface between the central axes of the two high-rise buildings of the early warning pair is an early warning surface; the meteorological data includes predicted wind speed At the same time, the angle θ between the predicted wind direction and the early warning surface is determined, and the wind speed v × × is calculated; when cos(θ) = 0, then v ; each high-rise building of the early warning pair judges whether early warning is needed or the level of early warning is adjusted for pushing early warning according to the value of v. 7.The meteorological disaster monitoring and early warning system based on meteorological data according to claim 6, characterized in that, The meteorological disaster monitoring and warning system comprises an alarm module; If a high-rise building receives multiple different warning levels, the highest warning level is pushed, and the alarm module alarms after receiving the push. 8.The meteorological disaster monitoring and early warning system based on meteorological data according to claim 6, characterized in that, When the high-rise buildings of the sample pairs and the warning pairs are modeled, the shape of the high-rise building is replaced by a triangular column, a rectangular column or a cylindrical column; A reference surface parallel to the reference surface is established, and the edge closest to the reference surface is selected as the first reference edge and the second reference edge, the bottom of the first reference edge and the bottom of the second reference edge are connected, and the top of the first reference edge and the top of the second reference edge are connected to form a wind tunnel cross section at the entrance; If one side of the replacement model facing the reference surface is a plane, the edge farthest from the reference surface is selected as the first reference edge or the second reference edge. 9.The meteorological disaster monitoring and early warning system based on meteorological data according to claim 8, characterized in that, The meteorological disaster monitoring and warning system further comprises a measurement module; The measurement module comprises a first anemometer and a second anemometer. When the meteorological disaster occurs, the height of the relatively low high-rise building in the early warning is taken as the reference height; the cross-sectional area of the air duct at the entrance is early warned and the cross-sectional area of the air duct at the narrowest place is early warned Meanwhile, the first anemograph obtains the disaster wind speed at the entrance between the two high-rise buildings in the early warning and the second anemograph obtains the disaster wind speed at the narrowest place According to the calculation formula = × the enhancement coefficient of the narrow pipe effect when the meteorological disaster occurs is obtained by calculation and is replaced by of the early warning.

10. A computer, comprising: The system comprises a processor and a memory, the memory is used to store a program, when the program is executed by the processor, the processor realizes the method of any one of claims 1-5.

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