CN113192351A - Group fog early warning method, device and system and electronic equipment - Google Patents
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Abstract
The invention provides a cluster fog early warning method, a device, a system and electronic equipment, and relates to the technical field of weather early warning, wherein the method comprises the following steps: acquiring group fog detection parameters, wherein the group fog detection parameters at least comprise heights and temperatures at different heights; determining an early warning vector according to the cluster fog detection parameters, wherein the early warning vector is a vector related to an adverse temperature index; wherein the inversion temperature index is determined according to the height and the temperatures at different heights; inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog; and carrying out cluster fog early warning according to the cluster fog occurrence probability. The method can perform cluster mist early warning before cluster mist is formed, and is simple and easy to implement.
Description
Technical Field
The invention relates to the technical field of meteorological early warning, in particular to a method, a device and a system for cluster fog early warning and electronic equipment.
Background
Traffic accidents are a worldwide problem which troubles the development of traffic transportation, and the traffic accidents caused by the mist are high in ratio. Most of the existing foggy group early warning methods are based on a video image reference visibility method, and the generated foggy group is early warned; or a scattering method based on optics, or the detection of the cloud based on the laser radar technology, etc. At present, the prior art monitors the cluster mist after the cluster mist is generated, and cannot predict, detect and early warn before the cluster mist is formed.
Disclosure of Invention
The invention aims to provide a method, a device and a system for early warning of cluster fog and electronic equipment, which can be used for early warning of cluster fog before the cluster fog is formed, and are simple and easy to implement.
In a first aspect, the invention provides a cloud early warning method, including:
acquiring group fog detection parameters, wherein the group fog detection parameters at least comprise heights and temperatures at different heights;
determining an early warning vector according to the cluster fog detection parameters, wherein the early warning vector is a vector related to an adverse temperature index; wherein the inversion temperature index is determined according to the height and the temperatures at different heights;
inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog;
and carrying out cluster fog early warning according to the cluster fog occurrence probability.
In an alternative embodiment, the cloud detection parameters further include humidity at different altitudes and wind speed at different altitudes; the early warning vector is also a vector for average humidity, average wind speed and dew point difference.
In an alternative embodiment, determining the inversion temperature indicator based on altitude and temperature at different altitudes comprises:
collecting temperatures at different heights, wherein the temperatures comprise zero point temperatures, and the zero point temperatures are temperatures at preset reference heights;
when the temperature is reduced along with the rise of the height, curve fitting is carried out by taking the height as a dependent variable and the temperature as an independent variable to obtain a temperature-height polynomial;
and calculating the inverse temperature index according to the temperature-height polynomial and the zero point temperature.
In an alternative embodiment, calculating an inverse temperature indicator based on the temperature-height polynomial and the zero temperature comprises:
determining a first temperature at a first elevation and a second temperature at a second elevation from the temperature-elevation polynomial;
judging whether the first temperature and the second temperature are both greater than the zero point temperature;
if yes, calculating the inverse temperature index according to the temperature-height polynomial and the zero point temperature.
In an alternative embodiment, calculating an inverse temperature indicator based on the temperature-height polynomial and the zero temperature comprises:
the inverse temperature indicator is calculated according to the following formula:
in the above formula, the first and second carbon atoms are,
expressing the inverse temperature index; f (h ') represents a first temperature, h' represents a first height; f (h ') represents a second temperature, h' represents a second height; t is t0Indicating the zero temperature.
In an alternative embodiment, the dew point difference is calculated according to the following method:
detecting a third temperature to which dew is formed at a preset reference height;
and determining the dew point difference according to the difference between the third temperature and the zero point temperature.
In a second aspect, the invention provides a mist early warning device, which comprises:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring group fog detection parameters, and the group fog detection parameters at least comprise heights and temperatures at different heights;
the determining module is used for determining an early warning vector according to the group fog detection parameters, wherein the early warning vector is a vector related to an adverse temperature index; wherein the inversion temperature index is determined according to the height and the temperatures at different heights;
the calculation module is used for inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog;
and the early warning module is used for carrying out group fog early warning according to the group fog occurrence probability.
In a third aspect, the invention provides a mist early warning system, which comprises the mist early warning device according to the second aspect and a platform lifting device, wherein the mist early warning device is mounted on the platform lifting device.
In an alternative embodiment, the platform lifting device comprises a motor, a fixed pulley, a rope, a lifting detection platform and a vertical rod, wherein the fixed pulley is mounted at the top end of the vertical rod; the fixed pulley is connected with the motor through the rope; the lifting detection platform is arranged on a rope between the fixed pulley and the motor.
In a fourth aspect, the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the foregoing embodiments when executing the computer program.
In a fifth aspect, the present invention provides a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of any of the preceding embodiments.
According to the group fog early warning method, the device and the system as well as the electronic equipment, group fog detection parameters are obtained, wherein the group fog detection parameters comprise the height and the temperature at different heights; then determining an early warning vector according to the group fog detection parameters, wherein the early warning vector comprises inverse temperature indexes determined according to the height and the temperatures at different heights; then inputting the early warning vector into an early warning model to calculate the occurrence probability of the cluster fog, and thus carrying out cluster fog early warning according to the occurrence probability of the cluster fog; the method can perform the cluster mist early warning before the cluster mist is formed, and is simple, efficient and convenient to operate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a mist pre-warning method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a mist early warning device provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a lifting device of the group fog early warning system provided in the embodiment of the present invention;
fig. 4 is a system schematic diagram of an electronic device according to an embodiment of the present invention.
Icon: 21-an acquisition module; 22-a determination module; 23-a calculation module; 24-an early warning module; 31-lifting detection platform; 32-a motor; 33-a fixed pulley; 34-a fixed table; 35-upright stanchion; 36-a rope; 400-an electronic device; 401 — a communication interface; 402-a processor; 403-a memory; 404-bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "first", "second", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
Furthermore, the terms "horizontal", "vertical" and the like do not imply that the components are required to be absolutely horizontal or pendant, but rather may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
With the rapid development of economy and the steady promotion of urbanization in China, the construction of roads also obtains huge achievements, however, the rapid development also faces a plurality of tests, and traffic accidents and the like are still the worldwide problems which are puzzled on the development of high-speed transportation. With the informatization of traffic management and the construction of intelligent roads, the incidence of traffic accidents is reduced year by year, but the traffic accidents caused by the foggy mass, which are called as highway 'flow killers', still account for a higher proportion.
The cluster fog is caused by the radiation cooling of local water vapor and is radiation fog. Unlike the common heavy fog dispersion, the range of the potential force is smaller. The cluster fog generally appears in low-lying areas with high air humidity and is closely related to local microclimate environments, and the highway pavement has higher daytime temperature and large day-night temperature difference, so the cluster fog is favorably formed. In addition, the increase of some pollution particles discharged nearby roads, such as burning straws in autumn, industrial dust pollution, automobile exhaust emission and the like, and the increase of tiny particles in the air is favorable for forming cluster fog.
At present, the group fog early warning is mainly based on a video image reference visibility method to early warn the generated group fog, or based on an optical scattering method, or based on a laser radar technology to detect the group fog, and the like. In the prior art, the cluster mist is monitored after being generated, and prediction, detection and early warning cannot be carried out before the cluster mist is formed. Based on the method, the device and the system for early warning of the cluster fog and the electronic equipment, the cluster fog can be early warned before the cluster fog is formed, and the method is simple and easy to implement; the present invention is illustrated in detail by the following examples.
Referring to fig. 1, the method for warning mist cluster provided in this embodiment includes the following steps:
s110, acquiring group fog detection parameters, wherein the group fog detection parameters at least comprise heights and temperatures at different heights;
in this step, the group fog detection parameters include height, temperature t, humidity d and wind speed w at different heights h. When acquiring parameters, firstly acquiring parameters h under preset reference height0、t0、d0、w0. Wherein the preset reference height is two meters. Then gradually raising the height, and sequentially collecting the temperature, the wind speed and the humidity at different heights to obtain the following parameters: t ═ T1,t2,…,tn]，D＝[d1,d2,…,dn]，H＝[h1,h2,…,hn]，V＝[v1,v2,…,vn]，(1≤i≤n)。
During specific implementation, the parameters are collected through the platform lifting device, namely, a lifting/lowering instruction is sent to a motor of the platform lifting device, so that the lifting detection platform on the platform lifting device stops at different heights hi(0<hiLess than or equal to I), wherein I is the height of the upright rod of the platform lifting device.
S120, determining an early warning vector according to the group fog detection parameters, wherein the early warning vector is a vector related to the adverse temperature index; wherein, the inverse temperature index is determined according to the height and the temperature at different heights;
in this step, the early warning vector is a vector relating to the inverse temperature index, the average humidity, the average wind speed and the dew point difference, i.e. the early warning vector is a vector relating to the inverse temperature index, the average humidity, the average wind speed and the dew point difference
Wherein the content of the first and second substances,
the temperature of the object is indicated by the temperature index,
means mean humidity
Which represents the average wind speed, is,
and Δ d represents the dew point difference. The difference in dew point is based on the dew point temperature DTkThe calculated dew point temperature refers to the current air temperature and air pressure condition, namely (h)0,t0,d0,w0) The temperature D to which dew is formedTk。
S130, inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog;
in this step, the early warning model is a decision tree model.
And S140, carrying out cluster fog early warning according to the cluster fog occurrence probability.
In specific implementation, the cluster fog occurrence probability is sent to a cluster fog early warning service terminal in a wireless communication mode, the cluster fog occurrence probability obtained by the cluster fog early warning service terminal is compared with a preset probability threshold, and cluster fog early warning is carried out when the cluster fog occurrence probability exceeds the preset probability threshold; and sending the early warning information to relevant workers through the group fog early warning service terminal for checking.
In the embodiment, an early warning vector is calculated through collected cluster fog early warning parameters, the early warning vector is input into a decision tree model to calculate the cluster fog occurrence probability, and cluster fog early warning is carried out according to the cluster fog occurrence probability; therefore, the cluster fog early warning can be carried out before the cluster fog is formed, and the method of the embodiment is simple, efficient, easy to implement and high in reliability.
Further, in step S120, determining the inverse temperature index according to the altitude and the temperatures at different altitudes includes the following steps:
collecting temperatures at different heights, wherein the temperatures comprise zero temperatures which are temperatures at a preset reference height;
when the temperature is reduced along with the rise of the height, curve fitting is carried out by taking the height as a dependent variable and the temperature as an independent variable to obtain a temperature-height polynomial;
and calculating the inverse temperature index according to the temperature-height polynomial and the zero temperature.
Here, the inverse temperature index is calculated from the temperature vector T and the height vector H collected in the above-described embodiment.
Firstly, judging whether a near-earth temperature inversion layer exists or not, and if so, determining that the height h is anyiAll have ti≥ti+1If the fact shows that the near-earth temperature inversion layer does not exist at the current moment, delaying for a period of time, and repeatedly acquiring group fog detection parameters again; if at height hi‘Under the existence of ti'<ti'+1<ti'+2And calculating a polynomial fitting curve under the current detection value by applying a polynomial fitting method, namely: f (x) ═ a1xm+a2xm-1+…+amx1+am+1F (x) curve fitting solution is performed for the measured temperature, height vectors T, H, where heightIs a dependent variable and temperature is a dependent variable. Solving to obtain curve coefficient vector a ═ a1,a2,…,am+1](ii) a Finally, the temperature-height polynomial is obtained.
Further, calculating an inverse temperature index according to the temperature-height polynomial and the zero point temperature, comprising:
determining a first temperature at a first elevation and a second temperature at a second elevation from a temperature-elevation polynomial;
judging whether the first temperature and the second temperature are both greater than the zero temperature;
if yes, the inverse temperature index is calculated according to the temperature-height polynomial and the zero point temperature.
Specifically, the temperature f (h '), f (h') at which the specific height is the first height h ', the second height h' is calculated; if f (h')>t0And f (h')>t0Judging that the temperature inversion phenomenon exists in the current local area, otherwise, judging that the temperature inversion phenomenon does not exist in the current local area.
Optionally, calculating the inverse temperature indicator according to the temperature-height polynomial and the zero point temperature includes:
the inverse temperature indicator is calculated according to the following formula:
in the above formula, the first and second carbon atoms are,
expressing the inverse temperature index; f (h ') represents a first temperature, h' represents a first height; f (h ') represents a second temperature, h' represents a second height; t is t0Indicating the zero temperature.
Preferably, the dew point difference is calculated according to the following method:
detecting a third temperature to which dew is formed at a preset reference height;
and determining the dew point difference according to the difference between the third temperature and the zero point temperature.
In particular, the detection is at a preset reference height, i.e. (h)0,t0,d0,w0) Third temperature D to which dew formation is desiredTk(i.e., the dew point temperature in the above-described embodiment), the difference between the current air temperature and the dew point temperature, i.e., Δ D ═ D, is calculatedTk-t0The smaller the delta d is, the closer the air temperature is to the dew point temperature, the fog is easily formed; otherwise, the temperature is far away from the dew point temperature, and fog is not easily formed.
In the prior art, early warning is carried out after the cluster fog occurs, and the acquisition of meteorological parameters is single-point acquisition, so that the acquisition of three-dimensional data cannot be realized; in the embodiment, meteorological parameters such as temperature, humidity and wind speed in the vertical direction are collected, and the early warning of the mass fog before the mass fog occurs is realized through the collection of three-dimensional data.
Referring to fig. 2, the mist early warning device provided in this embodiment includes the following modules:
the acquisition module 21 is configured to acquire group fog detection parameters, where the group fog detection parameters at least include heights and temperatures at different heights;
the determining module 22 is configured to determine an early warning vector according to the group fog detection parameter, where the early warning vector is a vector related to the adverse temperature indicator; wherein, the inverse temperature index is determined according to the height and the temperature at different heights;
the calculation module 23 is configured to input the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cloud;
and the early warning module 24 is used for carrying out group fog early warning according to the group fog occurrence probability.
Optionally, the cloud detection parameters further include humidity at different heights and wind speed at different heights; the early warning vector is also a vector for average humidity, average wind speed and dew point difference.
Further, the determination module 22 includes the following modules:
the acquisition module is used for acquiring temperatures at different heights, wherein the temperatures comprise zero point temperatures, and the zero point temperatures are temperatures at preset reference heights;
the curve fitting module is used for performing curve fitting by taking the height as a dependent variable and the temperature as an independent variable when the temperature decreases along with the rise of the height to obtain a temperature-height polynomial;
and the index calculation module is used for calculating the inverse temperature index according to the temperature-height polynomial and the zero temperature.
Optionally, the index calculation module includes:
a temperature calculation module for determining a first temperature at a first elevation and a second temperature at a second elevation from a temperature-elevation polynomial;
the temperature judging module is used for judging whether the first temperature and the second temperature are both greater than the zero temperature;
and the inverse temperature index module is used for calculating the inverse temperature index according to the temperature-height polynomial and the zero point temperature if the temperature-height polynomial is positive.
Preferably, the inverse temperature indicator is calculated from the temperature-height polynomial and the zero point temperature, and includes:
the inverse temperature indicator is calculated according to the following formula:
in the above formula, the first and second carbon atoms are,
expressing the inverse temperature index; f (h ') represents a first temperature, h' represents a first height; f (h ') represents a second temperature, h' represents a second height; t is t0Indicating the zero temperature.
Further, the dew point difference is calculated by:
the third temperature module is used for detecting a third temperature to which dew is formed under a preset reference height;
and the difference value calculation module is used for determining the dew point difference value according to the difference value between the third temperature and the zero point temperature.
Referring to fig. 3, the group fog warning system provided in this embodiment includes the group fog warning device and the platform lifting device of the above embodiments, and the group fog warning device is installed on the platform lifting device.
Preferably, the platform lifting device comprises a motor 32, a fixed pulley 33, a rope 36, a lifting detection platform 31 and a vertical rod 35, wherein the fixed pulley 33 is installed at the top end of the vertical rod 35; the fixed pulley 33 is connected with the motor 32 through a rope 36; the elevation sensing stage 31 is mounted on a rope 36 between the fixed sheave 33 and the motor 32.
Specifically, the acquisition module 21 in the mist early warning device is installed on the lifting detection table 31. The platform lifting device further comprises a fixed table 34, the fixed table 34 is placed on the horizontal ground, the upright rod 35 is fixed on the fixed table 34, and the motor 32 is placed on the fixed table 34; the motor 32 is a stepper motor.
Preferably, the system further comprises visibility detection means for detecting visibility information.
Specifically, the visibility detection device sends the visibility information to the group fog early warning device.
Referring to fig. 4, the present embodiment further provides an electronic device 400, which includes a communication interface 401, a processor 402, a memory 403, and a bus 404, where the processor 402, the communication interface 401, and the memory 403 are connected by the bus 404; the memory 403 is used for storing a computer program for supporting the processor 402 to execute the above-mentioned cloud pre-warning method, and the processor 402 is configured to execute the program stored in the memory 403.
Optionally, an embodiment of the present invention further provides a computer readable medium having non-volatile program codes executable by the processor 402, wherein the program codes cause the processor 402 to execute the method for pre-warning the mist as in the above embodiment.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A cluster fog early warning method is characterized by comprising the following steps:
acquiring group fog detection parameters, wherein the group fog detection parameters at least comprise heights and temperatures at different heights;
determining an early warning vector according to the cluster fog detection parameters, wherein the early warning vector is a vector related to an adverse temperature index; wherein the inversion temperature index is determined according to the height and the temperatures at different heights;
inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog;
and carrying out cluster fog early warning according to the cluster fog occurrence probability.
2. The method of claim 1, wherein the cloud detection parameters further include humidity at different heights and wind speed at different heights; the early warning vector is also a vector for average humidity, average wind speed and dew point difference.
3. The method of claim 2, wherein determining the inversion temperature indicator based on altitude and temperature at different altitudes comprises:
collecting temperatures at different heights, wherein the temperatures comprise zero point temperatures, and the zero point temperatures are temperatures at preset reference heights;
when the temperature is reduced along with the rise of the height, curve fitting is carried out by taking the height as a dependent variable and the temperature as an independent variable to obtain a temperature-height polynomial;
and calculating the inverse temperature index according to the temperature-height polynomial and the zero point temperature.
4. The method of claim 3, wherein calculating an inverse temperature indicator based on the temperature-height polynomial and the zero temperature comprises:
determining a first temperature at a first elevation and a second temperature at a second elevation from the temperature-elevation polynomial;
judging whether the first temperature and the second temperature are both greater than the zero point temperature;
if yes, calculating the inverse temperature index according to the temperature-height polynomial and the zero point temperature.
5. The method of claim 4, wherein calculating an inverse temperature indicator based on the temperature-height polynomial and the zero temperature comprises:
the inverse temperature indicator is calculated according to the following formula:
in the above formula, the first and second carbon atoms are,
expressing the inverse temperature index; f (h ') represents a first temperature, h' represents a first height; f (h ') represents a second temperature, h' represents a second height; t is t0Indicating the zero temperature.
6. The method of claim 3, wherein the dew point difference is calculated according to the following method:
detecting a third temperature to which dew is formed at a preset reference height;
and determining the dew point difference according to the difference between the third temperature and the zero point temperature.
7. A cloud early warning device, comprising:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring group fog detection parameters, and the group fog detection parameters at least comprise heights and temperatures at different heights;
the determining module is used for determining an early warning vector according to the group fog detection parameters, wherein the early warning vector is a vector related to an adverse temperature index; wherein the inversion temperature index is determined according to the height and the temperatures at different heights;
the calculation module is used for inputting the early warning vector into a pre-trained early warning model to obtain the occurrence probability of the cluster fog;
and the early warning module is used for carrying out group fog early warning according to the group fog occurrence probability.
8. A mist early warning system, comprising the mist early warning device of claim 7 and a platform lifting device, the mist early warning device being mounted on the platform lifting device.
9. The system of claim 8, wherein the platform lifting device comprises a motor, a fixed pulley, a rope, a lifting detection table and a vertical rod, wherein the fixed pulley is mounted at the top end of the vertical rod; the fixed pulley is connected with the motor through the rope; the lifting detection platform is arranged on a rope between the fixed pulley and the motor.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 1 to 6 are implemented when the computer program is executed by the processor.
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