CN112485847B - Alarm method and device for communication equipment, equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses an alarm method and an alarm device of communication equipment based on deep learning, alarm equipment and a readable storage medium, wherein the method comprises the following steps: acquiring dynamic information of typhoon; drawing a typhoon route map according to the dynamic information of the typhoon; according to the typhoon route map, typhoon influence areas with different typhoon influence degrees are drawn; according to the typhoon influence degree, the typhoon influence area is divided to generate divided areas with different typhoon influence degrees; matching the position information of the communication equipment with the position information of the segmentation area to generate a matching result; generating alarm information of different levels aiming at the communication equipment at different positions according to the matching result; and outputting the alarm information. When an accident does not occur, different levels of alarm are given to the communication equipment in different areas, and the alarm accuracy is improved.
Description
Technical Field
The embodiment of the invention relates to the field of typhoon early warning, in particular to an alarming method and device of communication equipment, equipment and a storage medium.
Background
As people's dependence on communication devices such as mobile phones and computers increases, the durability and stability of the operation of network devices of operators become more and more important. The traditional communication early warning mainly depends on weather forecast or weather detection to finish the warning of a base station level, and the problems of uncertainty and timeliness mainly exist.
The first method is to roughly estimate that typhoon may affect base stations in a relevant area through weather forecast, and the method cannot estimate specific base stations which may be damaged, and cannot estimate possible damage conditions of the base stations, so that a lot of uncertainty exists for making emergency communication plans.
The second method is to carry out all-weather automatic monitoring on the displacement of the communication iron tower and the surrounding climate environment, and judge the influence of the climate on the communication equipment through the analysis of the monitoring data. Although the method can perfectly estimate the specific base station, the position of the base station and the damage condition, the method has no predictability, and the method can not implement and develop emergency safeguard measures in time because the alarm is generated only when typhoon occurs.
The inventors found that there are at least the following problems in the related art:
the method for base station damage assessment based on weather forecast and the weather environment all-weather monitoring method based on weather forecast can assist the formulation of emergency plans to a certain extent, but the assistance has the problems of uncertainty and timeliness, and accurate post-disaster recovery work cannot be carried out on specific communication damaged areas.
Disclosure of Invention
The invention aims to provide a communication equipment warning method and device based on deep learning, warning equipment and a readable storage medium, so that when an accident does not happen, warning of different levels is carried out on communication equipment in different areas, and the warning accuracy is improved.
In order to solve the above technical problem, an embodiment of the present invention provides an alarm method for a communication device based on deep learning, including:
acquiring dynamic information of typhoon;
drawing a typhoon route map according to the dynamic information of the typhoon;
according to the typhoon route map, typhoon influence areas with different typhoon influence degrees are drawn;
according to the typhoon influence degree, the typhoon influence area is divided to generate divided areas with different typhoon influence degrees;
matching the position information of the communication equipment with the position information of the segmentation area to generate a matching result;
generating alarm information of different levels aiming at the communication equipment at different positions according to the matching result;
and outputting the alarm information.
An alarm device of a communication device based on deep learning, comprising:
the first acquisition unit is used for acquiring the dynamic information of the typhoon;
the first drawing unit is used for drawing a typhoon route map according to the dynamic information of the typhoon;
the second drawing unit is used for drawing typhoon influence areas with different typhoon influence degrees according to the typhoon route map;
the partitioning unit is used for partitioning the typhoon influence area according to the typhoon influence degree to generate partitioning areas with different typhoon influence degrees;
the matching unit matches the position information of the communication equipment with the position information of the segmentation area to generate a matching result;
the generating unit generates alarm information of different levels aiming at the communication equipment at different positions according to the matching result;
and the output unit outputs the alarm information.
An alert device comprising:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alert method.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the alerting method.
In the above embodiment, the dynamic information of the typhoon is acquired; drawing a typhoon route map according to the dynamic information of the typhoon; according to the typhoon route map, typhoon influence areas with different typhoon influence degrees are drawn; according to the typhoon influence degree, the typhoon influence area is divided to generate divided areas with different typhoon influence degrees; matching the position information of the communication equipment with the position information of the segmentation area to generate a matching result; generating alarm information of different levels aiming at the communication equipment at different positions according to the matching result; and outputting the alarm information. According to the typhoon influence degree of the area, the typhoon influence degree of the communication equipment in the area can be predicted, so that early warning is carried out in advance, related warning can be carried out when an accident does not occur, risk predictability is achieved, warning of different levels is carried out on the communication equipment in different areas when the accident does not occur, and the warning accuracy is improved.
Optionally, the drawing a typhoon route map according to the dynamic information of the typhoon specifically includes: through a curve fitting method, performing smooth curve transformation on scattered points at the central position of at least one typhoon; and (3) assuming that the loss function loss is formula 1 in the curve smoothing process, continuously inputting a formula until the loss is not reduced, and fitting an optimal smooth curve of the station air path line graph:
wherein, beta 1 、β 2 、
Constant, adjusted during decreasing loss; n is the number of scattered points, (x) i ,y i ) Adjusting beta for scatter on the optimal smooth curve by a feedback mechanism 1 And beta 2 The purpose of reducing loss is achieved. According to the method, a feedback learning method is adopted to perform scattered point curve fitting, so that the fitting accuracy is improved.
Optionally, the step of matching the location information of the communication device with the location information of the partitioned area and generating a matching result includes: carrying out internal tangent rectangle sampling on the segmentation areas until the internal tangent rectangle covers the whole typhoon influence area, and dividing each segmentation area into internal tangent rectangles; and matching the longitude and latitude of the internally tangent rectangle with the position information of the communication equipment. The step of sampling the internally tangent rectangles of the segmentation areas until the internally tangent rectangles cover the whole typhoon influence area comprises the following steps: solving the inscribed rectangle by adopting an improved genetic algorithm, forming an inscribed rectangle by four vertexes P1 (x 1, y 1), P2 (x 2, y 2), P3 (x 3, y 3) and P4 (x 4, y 4) in any partition region, evaluating the advantages and disadvantages of individuals by a fitness function during execution of the genetic algorithm, and adopting the area of a quadrangle as a basic fitness function; converting the constrained optimization problem into an unconstrained problem, wherein the basic fitness function is as follows:
S＝S rec -(H 1 +H 2 +H 3 )
H 1 ＝|(y 4 -y 1 )×(x 3 -x 2 )-(y 3 -y 2 )×(x 4 -x 1 )| 2
H 2 ＝|(y 2 -y 1 )×(x 4 -x 3 )-(y 4 -y 3 )×(x 2 -x 1 )| 2
H 3 ＝|(y 2 -y 1 )×(y 4 -y 1 )-(x 2 -x 1 )×(x 4 -x 1 )| 2
wherein S is the area of the cut region, S rec The area of the rectangle is currently cut out. In the above embodiment, each of the divided regions is divided into an inscribed rectangle; and then matching the longitude and latitude of the internally tangent rectangle with the longitude and latitude of the communication equipment, thereby improving the automation degree of calculation.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart of an alarm method of a communication device based on deep learning according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a base station alarm handling process in an application scenario of the present invention;
FIG. 3 is a schematic diagram of a typhoon center point curve fitting in an application scenario of the present invention;
FIG. 4 is a schematic diagram of image reconstruction of a typhoon affected zone in an application scenario of the present invention;
fig. 5 is a schematic diagram of the segmentation of the typhoon affected zone in the application scenario of the present invention.
Fig. 6 is a schematic structural diagram of an alarm device of a communication device based on deep learning according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an alarm device of a communication device based on deep learning according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not be construed as any limitation to the specific implementation manner of the present invention, and as shown in fig. 1, the embodiments are a method for alarming a communication device based on deep learning according to the present invention, and the method includes:
step 11, acquiring dynamic information of typhoon;
step 12, drawing a typhoon route map according to the dynamic information of the typhoon;
step 13, according to the typhoon route map, typhoon influence areas with different typhoon influence degrees are drawn;
step 14, according to the typhoon influence degree, dividing the typhoon influence area to generate divided areas with different typhoon influence degrees;
step 15, matching the position information of the communication equipment with the position information of the divided areas to generate a matching result;
and step 16, generating alarm information of different levels aiming at the communication equipment at different positions according to the matching result, and outputting the alarm information.
According to the typhoon influence degree of the area, the typhoon influence degree of the communication equipment in the area can be predicted, so that early warning is carried out in advance, related warning can be carried out when an accident does not occur, risk predictability is achieved, warning of different levels is carried out on the communication equipment in different areas when the accident does not occur, and the warning accuracy is improved.
Wherein, step 12 specifically includes:
through a curve fitting method, performing smooth curve transformation on scattered points at the central position of at least one typhoon; in the curve smoothing process, the loss function loss is assumed to be formula 1, and the optimal smooth curve of the typhoon circuit diagram is fitted by continuously inputting the formula until the loss is not reduced any more:
wherein, beta 1 、β 2 、
Constant, adjusted during decreasing loss; n is the number of scattered points, (x) i ,y i ) Adjusting beta for scatter on the optimal smooth curve by a feedback mechanism 1 And beta 2 The purpose of reducing loss is achieved. According to the method, a feedback learning method is adopted to perform scattered point curve fitting, so that the fitting accuracy is improved.
Wherein step 13 comprises:
step 131, calculating the influence radius of each curve point on the typhoon route map according to the wind speed and the wind power of the typhoon:
step 132, calculating a perpendicular line of each curve point on the typhoon route map;
and step 133, drawing typhoon influence areas with different typhoon influence degrees according to the influence radius and the vertical line.
Step 131 includes:
wherein d is the influence radius; IF is a regional severity affecting shadow, defined as the actual condition, beta 1 、β 2 、β 3 Is a constant, ζ is the vertical component of the relative vorticity, f is the transition parameter, and t is time; p is the pressure at the curve point and S is the wind speed at the curve point.
Step 132 includes:
wherein N is the number of scattered points, a is the slope of the vertical line, and b is the intercept of the vertical line.
Step 14 comprises: and partitioning the typhoon influence area by adopting a flood filling algorithm according to the influence severity of typhoon on the area.
Step 15 comprises:
step 151, carrying out internal tangent rectangle sampling on the segmentation areas until the internal tangent rectangle covers the whole typhoon influence area, and dividing each segmentation area into internal tangent rectangles;
and 152, matching the longitude and latitude of the internally tangent rectangle with the position information of the communication equipment.
Step 151 specifically comprises: solving the inscribed rectangle by adopting an improved genetic algorithm, forming an inscribed rectangle by four vertexes P1 (x 1, y 1), P2 (x 2, y 2), P3 (x 3, y 3) and P4 (x 4, y 4) in any partitioned region, evaluating the advantages and disadvantages of individuals by a fitness function when the genetic algorithm is executed, and adopting the area of a quadrangle as a basic fitness function; converting the constrained optimization problem into an unconstrained problem, wherein the basic fitness function is as follows:
S＝S rec -(H 1 +H 2 +H 3 )
H 1 ＝|(y 4 -y 1 )×(x 3 -x 2 )-(y 3 -y 2 )×(x 4 -x 1 )| 2
H 2 ＝|(y 2 -y 1 )×(x 4 -x 3 )-(y 4 -y 3 )×(x 2 -x 1 )| 2
H 3 ＝|(y 2 -y 1 )×(y 4 -y 1 )-(x 2 -x 1 )×(x 4 -x 1 )| 2
wherein S is the area of the cut region, S rec The area of the rectangle is currently cut out. Wherein, the longitude and the latitude are determined by the rectangular area encircled by P1, P2, P3 and P4.
In the above embodiment, each of the divided regions is divided into an inscribed rectangle; and then matching the longitude and latitude of the internally tangent rectangle with the longitude and latitude of the communication equipment, thereby improving the automation degree of calculation.
The following describes an application scenario of the present invention.
The invention provides a communication resource alarm solution based on deep learning in an application scene. The main idea is as follows: the method comprises the steps of analyzing factors such as a typhoon passing line, wind strength and wind circle radius, dividing a typhoon passing area into different areas such as a severe area and a slight area according to the distance from a path center position, and calculating the wind strength and the possible damage degree of a communication base station in the typhoon by combining the position information of the base station so as to generate communication resource disaster alarms in different degrees.
Taking communication equipment as a base station as an example, the method can be used for detecting and alarming the base station with operation risk in a typhoon area, and the main implementation scheme comprises the following steps: step 1, collecting information such as a typhoon passing line, wind strength, wind circle radius and the like through a web crawler, and drawing a route map. Namely, the typhoon influence area is visually analyzed according to the parameters of the typhoon passing route, the center position point, the wind speed and the wind power, the moving speed moving direction and the like. And 2, carrying out image segmentation on the visual typhoon influence area, and respectively solving the maximum internal contact moments of the rest areas in areas with different degrees through a graphic processing algorithm until the area image is completely segmented by a plurality of internal contact rectangles. And 3, matching the base station information existing in the area with the segmented rectangular array according to the latitude and longitude range, and generating an alarm, namely, matching the base station with the operation risk according to the segmented rectangular latitude and longitude coordinate range.
The specific processing procedure of the invention is shown in fig. 2:
step 1, performing smooth curve transformation on scattered points at the central positions of the typhoons by a curve fitting method, assuming that loss function loss is formula 1 in the curve smoothing process, and fitting an optimal smooth curve of the typhoon path by continuously inputting the formula until the loss is not reduced:
wherein beta is 1 、β 2 、
Is constant and is adjusted in decreasing loss. n is the number of scattered points, (x) i ,y i ) Adjusting beta by a feedback mechanism to correspond to scatter on the curve 1 And beta 2 The purpose of reducing the loss is achieved (the smaller the value of the loss is, the smaller the fitting curve is, the closer the curve is to the typhoon path). With decreasing loss, the curve fitting results are shown in FIG. 3.
And 2, combining wind speed and wind power and twelve-level radius, dividing the influence area into a severe area and a slight area, and calculating the influence radius of a certain point on the typhoon path:
wherein the IF is a shadow of the regional severity influence and can be defined according to actual needs, beta 1 、β 2 、β 3 Zeta is the vertical component of the relative vorticity, f is the transition parameter, and t is time.
For the typhoon curve in the last step, calculating the vertical line point of each point on the curve, and drawing the influence areas with different degrees according to the wind power radius, wherein the calculation method of the vertical line is as follows:
in the formula, N is the number of scattering points, a is the slope, and b is the intercept, then the equation of the vertical line of the typhoon path curve is:
the typhoon influence area is reconstructed according to the perpendicular line of each curve point, and the influence area is obtained as shown in fig. 4.
Step 3, after the typhoon-affected area image is reconstructed, according to the flood filling algorithm, segmenting the area according to the affected severity of the typhoon on to the area, wherein the segmentation result is shown in fig. 5:
and 4, matching the position of the affected base station according to the segmented area, wherein the step is mainly to carry out infinite internal tangent rectangle sampling on the area image until the internal tangent rectangle covers the whole typhoon affected area.
The solution of the inscribed rectangle adopts an improved genetic algorithm, an inscribed rectangle can be formed by four vertexes P1 (x 1, y 1), P2 (x 2, y 2), P3 (x 3, y 3) and P4 (x 4, y 4) in any partition region, the superiority and inferiority of an individual can be evaluated through a fitness function during the execution of the genetic algorithm, and a quadrilateral area is adopted as a most basic fitness function for the MER problem. The invention converts the constrained optimization problem into the unconstrained problem, and the basic fitness function is as follows:
S＝S rec -(H 1 +H 2 +H 3 ) (6)
wherein S is the area of the cut region, S rec The area of the rectangle currently cut out:
H 1 ＝|(y 4 -y 1 )×(x 3 -x 2 )-(y 3 -y 2 )×(x 4 -x 1 )| 2 (7)
H 2 ＝|(y 2 -y 1 )×(x 4 -x 3 )-(y 4 -y 3 )×(x 2 -x 1 )| 2 (8)
H 3 ＝|(y 2 -y 1 )×(y 4 -y 1 )-(x 2 -x 1 )×(x 4 -x 1 )| 2 (9)
and finally, matching the position of the base station in the segmented internally-tangent rectangular array, wherein the step only needs to match the position of the base station through the latitude and longitude range of the internally-tangent rectangle.
The invention has the following beneficial effects:
1. the method adopts a feedback learning method to carry out scatter curve fitting; and performing the cutting of the inscribed rectangle of the irregular graph by adopting an improved genetic algorithm. And matching the geographic position of the communication base station by using an algorithm of image reconstruction and image segmentation so as to generate the alarm information. Compared with the traditional communication early warning mode, the invention can carry out related warning when an accident does not occur, and has predictability.
2. After the steps of the invention are packaged, automatic early warning can be realized, namely typhoon information is obtained through a web crawler in the early stage, and automatic warning is generated through the text method in the later stage without manual operation.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
As shown in fig. 6, there is provided an alarm apparatus of a communication device based on deep learning, including:
the first acquisition unit acquires dynamic information of typhoon;
the first drawing unit is used for drawing a typhoon route map according to the dynamic information of the typhoon;
the second drawing unit is used for drawing typhoon influence areas with different typhoon influence degrees according to the typhoon route map;
the partitioning unit is used for partitioning the typhoon influence area according to the typhoon influence degree to generate partitioning areas with different typhoon influence degrees;
the matching unit matches the position information of the communication equipment with the position information of the divided areas to generate a matching result;
the generating unit generates alarm information of different levels aiming at the communication equipment at different positions according to the matching result;
and the output unit outputs the alarm information.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
As shown in fig. 6, there is provided an alerting device including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alert method.
Where the memory and processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the bus connecting together various circuits of the memory and the processor or processors. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory may be used to store data used by the processor in performing operations.
Another embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (10)
1. An alarm method of a communication device based on deep learning, comprising:
acquiring dynamic information of typhoon;
drawing a typhoon route map according to the dynamic information of the typhoon;
according to the typhoon route map, typhoon influence areas with different typhoon influence degrees are drawn;
according to the typhoon influence degree, the typhoon influence area is divided to generate divided areas with different typhoon influence degrees;
matching the position information of the communication equipment with the position information of the segmentation area to generate a matching result;
generating alarm information of different levels aiming at the communication equipment at different positions according to the matching result;
outputting the alarm information;
wherein, the step of drawing a typhoon route map according to the dynamic information of the typhoon specifically comprises:
through a curve fitting method, performing smooth curve transformation on scattered points at the central position of at least one typhoon; and (3) assuming that the loss function loss is formula 1 in the curve smoothing process, continuously inputting a formula until the loss is not reduced, and fitting an optimal smooth curve of the station air path line graph:
wherein, beta 1 、、
Is constant and is adjusted during the continuous decrease of loss; n is the number of scattered points, (x) i ,y i ) Adjusting beta for scatter on the optimal smooth curve by a feedback mechanism 1 The purpose of reducing loss is achieved.
2. The method of claim 1,
according to the wind speed and the wind power of the typhoon, calculating the influence radius of each curve point on the typhoon route map:
calculating a vertical line of each curve point on the typhoon route map;
and drawing typhoon influence areas with different typhoon influence degrees according to the influence radius and the vertical line.
3. The method of claim 2, wherein the step of calculating the radius of influence for each curve point on the typhoon roadmap based on the wind speed profile of the typhoon comprises:
wherein d is the influence radius; IF is a regional severity affecting shadow, defined as the actual condition, beta 1 、β 2 、β 3 Is a constant, ζ is the vertical component of the relative vorticity, f is the transition parameter, and t is time; p is the pressure at the curve point and S is the wind speed at the curve point.
4. The method of claim 2, wherein the step of calculating the perpendicular to each curve point on the typhoon roadmap comprises:
wherein N is the number of scattered points, a is the slope of the perpendicular, b is the intercept of the perpendicular, and (x, y) are the points on the curve.
5. The method according to claim 1, wherein the step of segmenting the typhoon influence area according to the typhoon influence degree to generate segmented areas with different typhoon influence degrees comprises:
and partitioning the typhoon influence area by adopting a flood filling algorithm according to the influence severity of typhoon on the area.
6. The method of claim 1, wherein the step of matching the location information of the communication device with the location information of the partitioned area, and generating the matching result comprises:
carrying out internal tangent rectangle sampling on the segmentation areas until the internal tangent rectangle covers the whole typhoon influence area, and dividing each segmentation area into internal tangent rectangles;
and matching the longitude and latitude of the internally tangent rectangle with the position information of the communication equipment.
7. The method according to claim 6, wherein the step of sampling the inscribed rectangles of the divided regions until the inscribed rectangles cover the entire typhoon influence region comprises the steps of:
solving the inscribed rectangle by adopting an improved genetic algorithm, forming an inscribed rectangle by four vertexes P1 (x 1, y 1), P2 (x 2, y 2), P3 (x 3, y 3) and P4 (x 4, y 4) in any partition region, evaluating the advantages and disadvantages of individuals by a fitness function during execution of the genetic algorithm, and adopting the area of a quadrangle as a basic fitness function; converting the constrained optimization problem into an unconstrained problem, wherein the basic fitness function is as follows:
S＝S rec -(H 1 +H 2 +H 3 )
H 1 ＝|(y 4 -y 1 )×(x 3 -x 2 )-(y 3 -y 2 )×(x 4 -x 1 )| 2
H 2 ＝|(y 2 -y 1 )×(x 4 -x 3 )-(y 4 -y 3 )×(x 2 -x 1 )| 2
H 3 ＝|(y 2 -y 1 )×(y 4 -y 1 )-(x 2 -x 1 )×(x 4 -x 1 )| 2
wherein S is the area of the cut region, S rec The area of the rectangle is cut for the current time.
8. An alarm device of a communication device based on deep learning, comprising:
the first acquisition unit is used for acquiring the dynamic information of the typhoon;
the first drawing unit is used for drawing a typhoon route map according to the dynamic information of the typhoon;
the second drawing unit is used for drawing typhoon influence areas with different typhoon influence degrees according to the typhoon route map;
the partitioning unit is used for partitioning the typhoon influence area according to the typhoon influence degree to generate partitioning areas with different typhoon influence degrees;
the matching unit is used for matching the position information of the communication equipment with the position information of the segmentation area to generate a matching result;
the generating unit is used for generating and outputting alarm information of different levels aiming at the communication equipment at different positions according to the matching result;
wherein, the step of drawing a typhoon route map according to the dynamic information of the typhoon specifically comprises:
through a curve fitting method, performing smooth curve transformation on scattered points at the central position of at least one typhoon; in the curve smoothing process, the loss function loss is assumed to be formula 1, and the optimal smooth curve of the typhoon circuit diagram is fitted by continuously inputting the formula until the loss is not reduced any more:
wherein, beta 1 、
Constant, adjusted during decreasing loss; n is the number of scattered points, (x) i ,y i ) Adjusting beta for scatter on the optimal smooth curve by a feedback mechanism 1 The purpose of reducing loss is achieved.
9. An alert device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alert method of any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the alerting method of any one of claims 1 to 7.
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