Tornado identification method, device and equipment under power failure and medium

Abstract

The invention discloses a tornado identification method and device under a power failure, equipment and a medium, and belongs to the field of power weather forecast. According to the method, meteorological data of a three-dimensional space of a power grid fault area are obtained, high-altitude and low-altitude circulation situation analysis is carried out respectively to obtain a weather background trend and a small and medium-scale weather process, and a vertical structure model under an air temperature-air pressure logarithmic coordinate system is constructed to analyze thermal instability, dynamic conditions and convection intensity characteristics. And performing comprehensive judgment by combining a high-altitude feature judgment condition and a ground feature judgment condition. According to the method, the limitation of traditional radar monitoring in a complex terrain area is broken through, precise identification of the tornado is achieved through multi-dimensional meteorological element coupling analysis, an objective basis is provided for power grid fault attribution, and the disaster prevention emergency capacity of electric power facilities in extreme weather is remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power meteorological forecasting, and in particular relates to a method, device, equipment and medium for identifying a tornado under electric power failure. Background Art

[0002] Tornado identification in the power sector primarily relies on sophisticated observation techniques such as C-band / dual-polarization Doppler radar and wind profiler radar. These instruments can reliably monitor the incipient and mesoscale vortex evolution of tornadoes by capturing echo spiral structures, velocity doublets, and strong wind shear. Furthermore, using high-resolution numerical models (such as LES and atmospheric mesoscale models) and model assimilation techniques, researchers can reconstruct the internal vortex core structure and energy distribution of tornadoes based on observed rotating wind field data, providing key support for engineering departments in intensity classification, attack path prediction, and protection plan design.

[0003] Existing technologies, such as Doppler radar, wind profiler radar, and storm tracking, have laid the foundation for tornado identification, forecasting, and risk assessment. However, practical applications for power grid fault attribution remain limited. For one thing, UHV transmission towers are often located in radar blind spots, such as those in complex terrain or remote mountainous areas. This results in a lack of observational data on critical mid- and low-level rotating wind fields and the internal structure of thunderstorms. Furthermore, the transient and localized nature of tornadoes often makes it difficult for ground-based meteorological stations and automated weather stations to capture their peak intensity in a timely manner. Consequently, after a tornado strikes, accurate and traceable attribution analysis of the causes of power grid failures is difficult to obtain, hindering the scientific and timely nature of post-disaster assessments and emergency response decisions. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and medium for identifying a tornado under a power failure, so as to solve the problem that the traditional tornado fine diagnosis and analysis method in the prior art fails.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for identifying a tornado under power failure, comprising: Obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain weather change background trends and small and medium-scale weather processes respectively; constructing a vertical structure analysis model of each meteorological element based on the meteorological analysis data, performing atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each of the vertical structure analysis models, and obtaining a vertical profile analysis result; Determine the high-altitude and ground-level characteristics that determine a tornado. High-altitude characteristics include vertical upward and rotational motion characteristics of the airflow direction, as well as the storm's relative helicity threshold, the lifting condensation height threshold, and the surface-based convective effective potential threshold. Ground-level characteristics include wind direction convergence-type rotation mutations, sudden drops in ground pressure, slight increases in temperature, and extreme wind speed thresholds. The tornado identification results under power failure are determined based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

[0006] Furthermore, the meteorological elements include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo-equivalent potential temperature; Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain the weather change background trend and small and medium-scale weather processes, including: Determine the upper-altitude atmospheric circulation diagram based on the geopotential height, wind speed, wind direction, and vorticity at the time of the fault, identify and analyze the upper-altitude atmospheric circulation diagram, and determine the water vapor and energy conditions as the background trend of weather changes; The low-altitude atmospheric circulation diagram is determined based on the potential height, wind speed, wind direction and specific humidity at the time of or before the fault, and the low-altitude atmospheric circulation diagram is identified and analyzed to determine the dynamic conditions for the convergence and lifting of severe convective weather as a small and medium-scale weather process.

[0007] Furthermore, vertical structure analysis models of various meteorological elements are constructed based on the meteorological analysis data, and atmospheric thermal instability, dynamic conditions, and convection intensity analysis are performed based on the vertical structure analysis models, including: Based on the meteorological analysis data of various meteorological elements, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault are drawn in the logarithmic coordinate system of air temperature and air pressure. Analysis of atmospheric thermal instability based on the distribution characteristics of ambient temperature profiles and dry adiabatic lines; Analyze the dynamic conditions of tornadoes through the relative helicity of storms; The lifting condensation height is determined based on the height at which the lifting air mass path first intersects the dew point temperature profile, and the conditions for triggering convection are analyzed based on the lifting condensation height; the surface convection-based effective potential energy is calculated based on the dry adiabatic line and the wet adiabatic line, and the potential for severe convection on the ground is measured based on the surface convection-based effective potential energy.

[0008] Furthermore, based on the weather change background trend, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions, the tornado identification results under power failure are determined, including: If the background trend of weather changes, small and medium-scale weather processes, and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area meet the high-altitude characteristic judgment conditions and ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

[0009] In a second aspect, the present invention provides a tornado identification device under power failure, comprising: A data acquisition module is used to obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; A first analysis module is used to perform high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis based on the meteorological analysis data, and obtain weather change background trends and small and medium-scale weather processes respectively; A second analysis module is configured to construct a vertical structure analysis model of each meteorological element based on the meteorological analysis data, and to perform atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each vertical structure analysis model to obtain a vertical profile analysis result; The judgment construction module is used to determine the high-altitude feature judgment conditions and ground feature judgment conditions during a tornado process. Among them, the high-altitude feature judgment conditions include the vertical rise and rotational motion characteristics of the airflow direction, as well as the storm relative helicity threshold, the lifting condensation height threshold, and the surface convective effective potential energy threshold; the ground feature judgment conditions include wind direction convergence rotation mutation, ground pressure drop and slight temperature rise characteristics, and the ground super-strong wind speed threshold; The identification module is used to determine the tornado identification results under power failure based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

[0010] Furthermore, the meteorological elements obtained in the data acquisition module include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo-equivalent potential temperature; The first analysis module is specifically used to: Determine the upper-altitude atmospheric circulation diagram based on the geopotential height, wind speed, wind direction, and vorticity at the time of the fault, identify and analyze the upper-altitude atmospheric circulation diagram, and determine the water vapor and energy conditions as the background trend of weather changes; The low-altitude atmospheric circulation diagram is determined based on the potential height, wind speed, wind direction and specific humidity at the time of or before the fault, and the low-altitude atmospheric circulation diagram is identified and analyzed to determine the dynamic conditions for the convergence and lifting of severe convective weather as a small and medium-scale weather process.

[0011] Furthermore, the second analysis module is specifically used to: Based on the meteorological analysis data of various meteorological elements, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault are drawn in the logarithmic coordinate system of air temperature and air pressure. Analysis of atmospheric thermal instability based on the distribution characteristics of ambient temperature profiles and dry adiabatic lines; Analyze the dynamic conditions of tornadoes through the relative helicity of storms; The lifting condensation height is determined based on the height at which the lifting air mass path first intersects the dew point temperature profile, and the conditions for triggering convection are analyzed based on the lifting condensation height; the surface convection-based effective potential energy is calculated based on the dry adiabatic line and the wet adiabatic line, and the potential for severe convection on the ground is measured based on the surface convection-based effective potential energy.

[0012] Furthermore, the identification module is specifically used to: If the background trend of weather changes, small and medium-scale weather processes, and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area meet the high-altitude characteristic judgment conditions and ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

[0013] According to a third aspect of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the tornado identification method described above.

[0014] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the tornado identification method described above is implemented.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This tornado identification method achieves accurate identification of tornadoes in the absence of detailed observational data. By comprehensively utilizing atmospheric circulation analysis, vertical profile models based on logarithmic temperature-pressure coordinates, and threshold discrimination of upper-altitude and ground-level features, it can quantitatively analyze local atmospheric thermal instability, dynamic conditions, and convection intensity, thereby accurately identifying tornado-like extreme weather processes and providing a rapid identification solution for power grid fault attribution.

[0016] This solution can accurately and objectively locate the causes of power grid failures, providing a reliable reference for the safe operation and maintenance of UHV power grids, as well as their design and planning. In practical applications, the system not only provides detailed fault attribution analysis data for power grid operations, but also provides real-time early warning for tornadoes, enabling operators to take timely preventive measures and optimize resource allocation, significantly improving the grid's operational safety and disaster prevention capabilities in extreme weather conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 This is a flow chart of a method for identifying a tornado under power failure according to an embodiment of the present invention; Figure 2 This is an analysis of the atmospheric circulation at 500hPa in an embodiment of the present invention (the red dots mark the power grid fault area); Figure 3 This is the low-altitude 850hPa atmospheric circulation analysis in an embodiment of the present invention (the red dots mark the power grid fault area); Figure 4 This is an atmospheric vertical stability analysis in the logarithmic coordinate system of air temperature and air pressure according to an embodiment of the present invention (the red dots mark the power grid fault area); Figure 5 This is a structural block diagram of a device for identifying a tornado under power failure according to an embodiment of the present invention; Figure 6 The figure is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0019] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0020] Example 1 To address the problem that UHV power grid facilities are in the blind spots of Doppler radar and wind profiler radar monitoring, which makes traditional tornado fine-grained diagnosis and analysis methods ineffective, the present invention adopts the coupled analysis method of atmospheric circulation high- and low-altitude situation fields, combined with vertical profile analysis in the logarithmic coordinate system of temperature and pressure, to quickly identify tornadoes through high-altitude and ground characteristics, providing efficient and traceable data support for UHV power grid fault attribution analysis and early warning decision-making.

[0021] like Figure 1 As shown, a method for identifying a tornado under power failure includes the following steps: S1. Obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area.

[0022] Specifically, the meteorological elements include potential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo equivalent potential temperature.

[0023] As an example, the preset three-dimensional space must be sufficient to support the analysis of the atmospheric circulation situation field and must cover the scale of the main weather systems affecting the fault area; the preset time range must completely cover the power grid fault process, with a time resolution of no less than 1 hour; and the analysis data must include meteorological elements at multiple isobaric surface heights.

[0024] In a more specific embodiment: (1) Through vertical coupling analysis of weather system configurations at multiple levels, we focus on large-scale weather systems such as the subtropical high pressure, westerly ridges, cyclones, and blocking high pressure at 500 hPa, as well as small and medium-scale weather systems such as the low-level jet, shear line, low vortex, and frontal zone at 850 hPa, and determine the spatial range of the collected meteorological analysis data.

[0025] (2) The time scale of the meteorological analysis data collected should cover the power grid fault process and the several hours before it.

[0026] (3) Meteorological analysis data uses reanalysis data, and data sets such as ERA5, FNL, and CMA-RA can be selected. The collected meteorological data should contain multiple elements at multiple height levels. The specific requirements are: at least cover the meteorological elements on multiple isobaric surfaces of 1000hPa, 900hPa, 800hPa, 700hPa, 600hPa, 500hPa, 400hPa, 300hPa, 200hPa, and 100hPa.

[0027] S2. Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain weather change background trends and small and medium-scale weather processes, respectively.

[0028] Specifically, step S2 includes: determining the high-altitude atmospheric circulation map based on the potential height, wind speed, wind direction, and vorticity at the time of the fault, identifying and analyzing the high-altitude atmospheric circulation map, and determining the water vapor and energy conditions as the background trend of weather changes; determining the low-altitude atmospheric circulation map based on the potential height, wind speed, wind direction, and specific humidity at the time of the fault or before the fault, identifying and analyzing the low-altitude atmospheric circulation map, and determining the dynamic conditions for the convergence and lifting of severe convective weather as small and medium-scale weather processes.

[0029] In an optional embodiment, (1) Analysis of 500hPa high-altitude atmospheric circulation situation based on analysis data. Based on the meteorological data such as geopotential height, wind speed, wind direction, vorticity, etc. on the 500hPa isobaric surface, a high-altitude atmospheric circulation map is drawn. Since the evolution of high-altitude atmospheric circulation takes several hours, this program analyzes the changes every 12 hours, and the analysis time is selected at the time when the power grid failure occurs. The 500hPa high-altitude circulation map is a good representation layer of the location and intensity of large-scale weather systems. Figure 2 As shown, by analyzing the high-altitude circulation map, the present invention found that the power grid fault area is located exactly at the northern edge of the subtropical high pressure, and there is a continuous easterly airflow that continuously transports warm and humid air from the ocean to the land. The analysis shows that the large-scale weather system has created good water vapor and energy conditions for the generation of severe convective weather.

[0030] (2) Analysis of the 850hPa low-altitude atmospheric circulation situation based on the analysis data. Based on the meteorological elements such as the potential height, wind speed, wind direction, and specific humidity on the 850hPa isobaric surface, a low-altitude atmospheric circulation map is drawn. Since the evolution of the 850hPa low-altitude atmospheric circulation is significantly faster than that of the 500hPa high-altitude, this plan analyzes the changes every 6 hours. The analysis time can be selected at the time when the power grid fault occurs or 3 hours before the fault. The 850hPa low-altitude circulation map is the generation and development layer of small and medium-scale weather systems (such as tornadoes in severe convective weather). Figure 3 As shown, by analyzing the low-altitude circulation diagram, the present invention found that there is an obvious shear line maintained in the power grid fault area. The shear line is the return belt of airflow, which will provide continuous rising airflow for severe convective weather processes, that is, the dynamic condition for convergence and lifting of severe convective weather.

[0031] S3. Constructing a vertical structure analysis model of each meteorological element based on the meteorological analysis data, performing atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each vertical structure analysis model to obtain a vertical profile analysis result.

[0032] Specifically, step S3 includes: based on the meteorological analysis data of each meteorological element of the multi-layer isobaric surface at the power grid fault point, constructing a vertical structure analysis model of each meteorological element under the logarithmic coordinates of air temperature and air pressure, the vertical structure analysis model is: drawing the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault in the logarithmic coordinate system of air temperature and air pressure respectively; performing atmospheric thermal instability analysis based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line; analyzing the dynamic conditions of the tornado through the relative helicity of the storm; determining the lifting condensation height based on the height at which the lifting air mass path first intersects the dew point temperature profile, and analyzing the conditions for triggering convection based on the lifting condensation height; calculating the surface-based convective effective potential energy based on the dry adiabatic line and the wet adiabatic line, and measuring the ground severe convection potential based on the surface-based convective effective potential energy.

[0033] In a more specific embodiment: (1) Construct a logarithmic coordinate system of air temperature and air pressure to support the analysis of the vertical structure of the atmosphere.

[0034] The vertical structure analysis coordinate system uses temperature as the horizontal coordinate and air pressure as the vertical coordinate. However, since the air pressure decays approximately exponentially with increasing altitude from the ground (such as 1000hPa) to high altitude (such as 100hPa), if the vertical coordinate uses a linear scale in the atmospheric vertical structure analysis, the high-altitude air pressure will be compressed and it will be difficult to distinguish the key stratification features. After taking the logarithm of multiple pressure layers, their exponential decay can be converted into a linear relationship, and the air pressure distribution at different altitudes is more uniform, which is convenient for analysis. After taking the natural logarithm of the air pressure, the present invention converts the conversion results into positive numbers by adding a negative sign, as shown in formula (1): (1) in, It represents the value of the air pressure on the vertical axis after conversion, and the number always remains positive. and are the air pressure value to be converted and the air pressure value of the reference altitude, Take 1000hPa.

[0035] After the above conversion, the vertical axis scale of the temperature-pressure logarithmic coordinate system converted from the pressure value of 1000hPa to 100hPa is shown in Table 1.

[0036] Table 1 Air pressure and logarithmic conversion of atmospheric pressure Correspondence table

[0037] (2) Based on the logarithmic coordinate system of air temperature and air pressure, combined with the analysis data of various meteorological elements on multiple isobaric surfaces, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line, wet adiabatic line, etc. at the time of power grid failure are drawn to analyze the vertical structure of the atmosphere and the potential conditions for severe convective weather.

[0038] The ambient temperature profile represents the ambient temperature distribution at different altitudes in the atmosphere and is used to determine the stratification stability of the atmosphere; The dew point temperature profile indicates the distribution of dew point temperatures at different altitudes in the atmosphere, reflects the humidity conditions, and is used to determine the atmospheric humidity distribution and saturation level. The path of the lifting air parcel represents the path of temperature change when the air parcel is lifted from the ground, which is used to determine whether the air parcel has buoyancy; The dry adiabatic line represents the rate of change of temperature of dry air during adiabatic uplift or sinking and is used to determine the temperature change of air parcels under dry conditions; The moist adiabatic line represents the rate of change of the temperature of saturated air during adiabatic ascent and is used to determine the temperature change of the saturated air mass.

[0039] (3) Based on the vertical profiles of various elements in the logarithmic coordinates of temperature and pressure, analysis of atmospheric thermal instability, dynamic conditions and convection intensity is carried out.

[0040] First, we analyze atmospheric thermodynamic instability based on the distribution characteristics of the ambient temperature profile and the dry adiabatic line. If the temperature profile is flatter than the dry adiabatic line, it indicates a thermodynamically unstable layer.

[0041] Secondly, by the relative helicity of the storm SRH The dynamic conditions of tornadoes were analyzed and the SRH at 0-1 km and 0-3 km were calculated according to Equation (2), which represents the rotational characteristics of the low-level wind field and reflects the potential of tornadoes or supercells.

[0042] The conditions for triggering convection are then analyzed based on the lift-off condensation height (LCL), the altitude at which the air parcel's path first intersects the dew point temperature profile. The lower the LCL, the easier it is for the air parcel to reach saturation, and the greater the likelihood of triggering convection.

[0043] Finally, the surface is calculated based on the convective effective potential SBCAPE , which is used to measure the potential of severe convection on the ground. It is calculated by integration according to formula (3). The integration range is from the free troposphere (LFC) to the equilibrium layer (EL), which can be used to evaluate the convective intensity of tornadoes.

[0044] SRH The calculation scheme is: Integral ground to height Within the range of 1 km and 3 km (usually 1 km and 3 km), the vertical vector curl of the wind speed profile relative to the storm's direction of motion, the larger the value, the more favorable the development of rotational convection. The calculation method is shown in formula (2): (2) Among them, the surface wind vector is expressed as Indicates that any height The wind vector is recorded as .

[0045] SBCAPE The calculation scheme is: DCAPE It is the total energy that the air parcel gains from the positive buoyancy from the time it starts to lift from the ground to the time it starts to have positive buoyancy at the free troposphere (LFC) altitude to the time it stops rising at the equilibrium upper layer (EL) altitude. Its calculation method is shown in formula (3): (3) in, and =LFC represents the height of the free troposphere and the equilibrium layer, respectively. On a logarithmic temperature-pressure plot, LFC is the height at which the air parcel's path first crosses the temperature profile, indicating that the parcel begins to possess positive buoyancy. The lower the LFC, the easier it is to trigger convection. On a logarithmic temperature-pressure plot, EL is the height at which the air parcel's path returns to the left of the temperature profile, indicating that the parcel has stopped rising. The higher the EL, the stronger the convection. and They are the virtual temperature of the air mass along the dry / wet adiabatic line and the virtual temperature profile of the environment as it sinks. is the acceleration due to gravity, take 9.8 m / s 2 Here, in order to accurately calculate the buoyancy of the air mass, the virtual temperature is introduced. The concept of is the temperature required to convert the density of moist air containing water vapor into dry air. The calculation method is shown in formula (3): (4) in, is the actual ambient temperature, is the water vapor mixing ratio, in kg / kg.

[0046] In the analysis of the vertical structure and convection potential of the atmosphere, the above scheme proposes the ambient temperature profile, dew point temperature profile and dry / wet adiabatic line in the logarithmic coordinate system of air temperature and air pressure, and superimposes the path of the lifting air mass to reveal the atmospheric thermal instability, dynamic conditions and convection intensity in detail.

[0047] S4. Determine the high-altitude feature judgment conditions and ground feature judgment conditions during a tornado process; among them, the high-altitude feature judgment conditions include the vertical rise and rotational motion characteristics of the airflow direction, as well as the storm relative helicity threshold, the lifting condensation height threshold and the surface convective effective potential energy threshold; the ground feature judgment conditions include wind direction convergence type rotation mutation, ground pressure drop and slight temperature rise characteristics, as well as the ground super-strong wind speed threshold.

[0048] It is understandable that since a tornado is a rotating column of wind formed by the strong rotating updrafts in a violent convective cloud (especially a supercell thunderstorm) being stretched to the ground, its high-altitude meteorological element distribution characteristics are vertical upward and rotating motion of the airflow direction. Based on the above analysis characteristics, the present invention proposes the following high-altitude characteristic judgment conditions for the rapid identification of tornado processes: SRH ≥ 40 m at 0-1 km. 2 / s 2 , SRH ≥ 100 m at 0-3 km 2 / s 2 , and LCL < 1 km, SBCAPE ≥ 2000 J / kg. The distribution characteristics and discrimination conditions of the above-mentioned high-altitude meteorological elements must be met simultaneously.

[0049] It is understandable that, because the airflow during a tornado presents strong vertical rise and horizontal rotation characteristics, it forms unique ground characteristics such as a vortex wind field when it contacts the ground, which is specifically manifested as super-strong wind speeds on the ground and sudden changes in wind direction convergence. At the same time, due to the strong suction effect of the low-pressure core, the ground air pressure drops sharply and the temperature rises slightly. The distribution characteristics of the above ground meteorological elements must be met at the same time before they can be used as ground criteria for rapid identification of tornadoes. The present invention specifies that when the peak value of the strong wind on the ground exceeds 50 m / s and is accompanied by the characteristics of wind direction convergence, sudden drop in air pressure, and slight rise in temperature, the tornado process can be clearly identified and the attribution analysis of the power grid failure can be completed.

[0050] like Figure 4 As shown in the figure, this scheme gives an example. The integral calculation SBCAPE is 3375 J / kg, SRH 0-1 km is 41 m2 / s2, and SRH 0-3 km is 112 m2 / s2, all of which meet the discrimination threshold requirements.

[0051] In the above scheme, the criteria for high-altitude identification of tornadoes are as follows: SRH ≥ 40 m at 0-1 km. 2 / s 2 , SRH ≥ 100 m at 0-3 km 2 / s 2 , and LCL < 1 km, SBCAPE ≥ 2000 J / kg, all of the above threshold conditions must be met, significantly improving the reliability of blind spot identification; in the ground identification criterion link of tornadoes, combined with comprehensive indicators such as ground near-ground layer wind speed ≥ 50 m / s, wind direction convergence characteristics, sudden drop in air pressure and slight rise in temperature, real-time identification and positioning of the tornado and ground interaction process can be achieved.

[0052] S5. Determine the tornado identification results under power failure based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

[0053] Specifically, step S5 includes: if the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area both meet the high-altitude characteristic judgment conditions and the ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

[0054] It should be noted that steps S2 and S3 have analyzed the necessary conditions for the formation and development of tornadoes from the perspectives of the atmospheric circulation situation and the vertical structure of the atmosphere. Combined with step S4, two major criteria are proposed from the perspectives of the distribution characteristics and thresholds of high-altitude and ground meteorological elements to achieve rapid identification and intensity assessment of tornadoes.

[0055] Example 2 like Figure 5 As shown, based on the same inventive concept as the above embodiment, the present invention also provides a tornado identification device under power failure, comprising A data acquisition module is used to obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; A first analysis module is used to perform high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis based on the meteorological analysis data, and obtain weather change background trends and small and medium-scale weather processes respectively; A second analysis module is configured to construct a vertical structure analysis model of each meteorological element based on the meteorological analysis data, and to perform atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each vertical structure analysis model to obtain a vertical profile analysis result; The judgment construction module is used to determine the high-altitude feature judgment conditions and ground feature judgment conditions during a tornado process. Among them, the high-altitude feature judgment conditions include the vertical rise and rotational motion characteristics of the airflow direction, as well as the storm relative helicity threshold, the lifting condensation height threshold, and the surface convective effective potential energy threshold; the ground feature judgment conditions include wind direction convergence rotation mutation, ground pressure drop and slight temperature rise characteristics, and the ground super-strong wind speed threshold; The identification module is used to determine the tornado identification results under power failure based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

[0056] The meteorological elements obtained in the data acquisition module include potential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo equivalent potential temperature; The first analysis module is specifically used to: Determine the upper-altitude atmospheric circulation diagram based on the geopotential height, wind speed, wind direction, and vorticity at the time of the fault, identify and analyze the upper-altitude atmospheric circulation diagram, and determine the water vapor and energy conditions as the background trend of weather changes; The low-altitude atmospheric circulation diagram is determined based on the potential height, wind speed, wind direction and specific humidity at the time of or before the fault, and the low-altitude atmospheric circulation diagram is identified and analyzed to determine the dynamic conditions for the convergence and lifting of severe convective weather as a small and medium-scale weather process.

[0057] The second analysis module is specifically used to: Based on the meteorological analysis data of various meteorological elements, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault are drawn in the logarithmic coordinate system of air temperature and air pressure. Analysis of atmospheric thermal instability based on the distribution characteristics of ambient temperature profiles and dry adiabatic lines; Analyze the dynamic conditions of tornadoes through the relative helicity of storms; The lifting condensation height is determined based on the height at which the lifting air mass path first intersects the dew point temperature profile, and the conditions for triggering convection are analyzed based on the lifting condensation height; the surface convection-based effective potential energy is calculated based on the dry adiabatic line and the wet adiabatic line, and the potential for severe convection on the ground is measured based on the surface convection-based effective potential energy.

[0058] Identification module, specifically used for: If the background trend of weather changes, small and medium-scale weather processes, and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area meet the high-altitude characteristic judgment conditions and ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

[0059] Example 3 like Figure 6 As shown, the present invention also provides an electronic device 100 for implementing a method for identifying a tornado under power failure; The electronic device 100 includes a memory 101 , at least one processor 102 , a computer program 103 stored in the memory 101 and executable on the at least one processor 102 , and at least one communication bus 104 .

[0060] The memory 101 can be used to store a computer program 103. The processor 102 implements the steps of the method for identifying a tornado under a power failure in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0061] The memory 101 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data (such as audio data) created according to the use of the electronic device 100. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0062] The at least one processor 102 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100 and connects various parts of the entire electronic device 100 using various interfaces and lines.

[0063] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for identifying a tornado under a power failure. The processor 102 can execute the plurality of instructions to implement: Obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain weather change background trends and small and medium-scale weather processes respectively; constructing a vertical structure analysis model of each meteorological element based on the meteorological analysis data, performing atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each of the vertical structure analysis models, and obtaining a vertical profile analysis result; Determine the high-altitude and ground-level characteristics that determine a tornado. High-altitude characteristics include vertical upward and rotational motion characteristics of the airflow direction, as well as the storm's relative helicity threshold, the lifting condensation height threshold, and the surface-based convective effective potential threshold. Ground-level characteristics include wind direction convergence-type rotation mutations, sudden drops in ground pressure, slight increases in temperature, and extreme wind speed thresholds. The tornado identification results under power failure are determined based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

[0064] Example 4 If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. Computer-readable media may include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0065] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0067] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0069] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for identifying a tornado under power failure, characterized in that: include Obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain weather change background trends and small and medium-scale weather processes respectively; constructing a vertical structure analysis model of each meteorological element based on the meteorological analysis data, performing atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each of the vertical structure analysis models, and obtaining a vertical profile analysis result; Determine the high-altitude and ground-level characteristics that determine a tornado. High-altitude characteristics include vertical upward and rotational motion characteristics of the airflow direction, as well as the storm's relative helicity threshold, the lifting condensation height threshold, and the surface-based convective effective potential threshold. Ground-level characteristics include wind direction convergence-type rotation mutations, sudden drops in ground pressure, slight increases in temperature, and extreme wind speed thresholds. The tornado identification results under power failure are determined based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

2. The tornado identification method according to claim 1, characterized in that: Meteorological elements include geopotential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo-equivalent potential temperature; Based on the meteorological analysis data, high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis are performed to obtain the weather change background trend and small and medium-scale weather processes, including: Determine the upper-altitude atmospheric circulation diagram based on the geopotential height, wind speed, wind direction, and vorticity at the time of the fault, identify and analyze the upper-altitude atmospheric circulation diagram, and determine the water vapor and energy conditions as the background trend of weather changes; The low-altitude atmospheric circulation diagram is determined based on the potential height, wind speed, wind direction and specific humidity at the time of or before the fault, and the low-altitude atmospheric circulation diagram is identified and analyzed to determine the dynamic conditions for the convergence and lifting of severe convective weather as a small and medium-scale weather process.

3. The tornado identification method according to claim 1, characterized in that: Based on the meteorological analysis data, vertical structure analysis models of various meteorological elements are constructed, and based on each of the vertical structure analysis models, atmospheric thermal instability, dynamic conditions, and convection intensity analysis are performed, including: Based on the meteorological analysis data of various meteorological elements, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault are drawn in the logarithmic coordinate system of air temperature and air pressure. Analysis of atmospheric thermal instability based on the distribution characteristics of ambient temperature profiles and dry adiabatic lines; Analyze the dynamic conditions of tornadoes through the relative helicity of storms; The lifting condensation height is determined based on the height at which the lifting air mass path first intersects the dew point temperature profile, and the conditions for triggering convection are analyzed based on the lifting condensation height; the surface convection-based effective potential energy is calculated based on the dry adiabatic line and the wet adiabatic line, and the potential for severe convection on the ground is measured based on the surface convection-based effective potential energy.

4. The tornado identification method according to claim 1, characterized in that: Based on the weather change background trend, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions, the tornado identification results under power failure are determined, including: If the background trend of weather changes, small and medium-scale weather processes, and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area meet the high-altitude characteristic judgment conditions and ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

5. A tornado identification device under power failure, characterized in that: include A data acquisition module is used to obtain meteorological analysis data of various meteorological elements within a preset three-dimensional space and a preset time range in the power grid fault area; A first analysis module is used to perform high-altitude atmospheric circulation situation analysis and low-altitude atmospheric circulation situation analysis based on the meteorological analysis data, and obtain weather change background trends and small and medium-scale weather processes respectively; A second analysis module is configured to construct a vertical structure analysis model of each meteorological element based on the meteorological analysis data, and to perform atmospheric thermal instability, dynamic conditions, and convection intensity analysis based on each vertical structure analysis model to obtain a vertical profile analysis result; The judgment construction module is used to determine the high-altitude feature judgment conditions and ground feature judgment conditions during a tornado process. Among them, the high-altitude feature judgment conditions include the vertical rise and rotational motion characteristics of the airflow direction, as well as the storm relative helicity threshold, the lifting condensation height threshold, and the surface convective effective potential energy threshold; the ground feature judgment conditions include wind direction convergence rotation mutation, ground pressure drop and slight temperature rise characteristics, and the ground super-strong wind speed threshold; The identification module is used to determine the tornado identification results under power failure based on the background trend of weather changes, small and medium-scale weather processes and vertical profile analysis results, as well as the high-altitude feature judgment conditions and ground feature judgment conditions.

6. The tornado identification device according to claim 5, characterized in that: The meteorological elements obtained in the data acquisition module include potential height, vorticity, divergence, air temperature, dew point temperature, specific humidity, wind speed, wind direction and pseudo equivalent potential temperature; The first analysis module is specifically used to: Determine the upper-altitude atmospheric circulation diagram based on the geopotential height, wind speed, wind direction, and vorticity at the time of the fault, identify and analyze the upper-altitude atmospheric circulation diagram, and determine the water vapor and energy conditions as the background trend of weather changes; The low-altitude atmospheric circulation diagram is determined based on the potential height, wind speed, wind direction and specific humidity at the time of or before the fault, and the low-altitude atmospheric circulation diagram is identified and analyzed to determine the dynamic conditions for the convergence and lifting of severe convective weather as a small and medium-scale weather process.

7. The tornado identification device according to claim 5, characterized in that: The second analysis module is specifically used to: Based on the meteorological analysis data of various meteorological elements, the ambient temperature profile, dew point temperature profile, lifting air mass path, dry adiabatic line and wet adiabatic line at the time of power grid fault are drawn in the logarithmic coordinate system of air temperature and air pressure. Analysis of atmospheric thermal instability based on the distribution characteristics of ambient temperature profiles and dry adiabatic lines; Analyze the dynamic conditions of tornadoes through the relative helicity of storms; The lifting condensation height is determined based on the height at which the lifting air mass path first intersects the dew point temperature profile, and the conditions for triggering convection are analyzed based on the lifting condensation height. The surface convection-based effective potential energy is calculated based on the dry adiabatic line and the wet adiabatic line, and the surface severe convection potential is measured based on the surface convection-based effective potential energy.

8. The tornado identification device according to claim 5, characterized in that: Identification module, specifically used for: If the background trend of weather changes, small and medium-scale weather processes, and vertical profile analysis results are consistent with the formation process of a tornado, and the high-altitude characteristics and ground characteristics of the power grid fault area meet the high-altitude characteristic judgment conditions and ground characteristic judgment conditions, then it is determined that tornado extreme weather has occurred in the power grid fault area.

9. An electronic device, characterized in that: The invention comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the tornado identification method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the tornado identification method according to any one of claims 1 to 4 is implemented.

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