CN109767124B - Typhoon early warning method and device for base station - Google Patents
Typhoon early warning method and device for base station Download PDFInfo
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- CN109767124B CN109767124B CN201910032053.4A CN201910032053A CN109767124B CN 109767124 B CN109767124 B CN 109767124B CN 201910032053 A CN201910032053 A CN 201910032053A CN 109767124 B CN109767124 B CN 109767124B
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Abstract
The embodiment of the invention provides a typhoon early warning method and a device of a base station, wherein the typhoon early warning method comprises the following steps: acquiring typhoon data information of the predicted typhoon; calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted; and outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection. The embodiment of the invention can output the base station which needs important protection, and reduce the service quitting risk of the base station which needs important protection.
Description
Technical Field
The embodiment of the invention relates to the technical field of operation and maintenance monitoring, in particular to a typhoon early warning method and device for a base station.
Background
The communication base station is an important component of a communication system, and the safety and the stability of the communication base station are directly related to national economic construction and people's life, so that the communication base station is vital to ensure normal and reliable operation. However, the communication base station has the characteristics of high pole tower height, large span, strong pole tower flexibility and the like, so that the communication base station is very sensitive to the excitation action of typhoon and is easy to fall down, and the communication base station is broken and retreats due to the influence of typhoon crossing the environment, and the range of the communication base station is large. Therefore, typhoon early warning is very necessary for communication base stations in typhoon-prone areas such as coastal areas, and by carrying out typhoon early warning on the communication base stations, a base station maintenance department can be guided to carry out targeted protection work on the communication base stations in advance, so that the loss caused by typhoons is reduced; in addition, typhoon data passing through the communication base station can be obtained, and data reference is provided for the construction of the subsequent communication base station.
At present, a typhoon early warning method for a communication base station mainly depends on typhoon data published by a meteorological department, but the typhoon data is generally obtained by the meteorological department through monitoring the whole typhoon condition in a large-scale area, the data is relatively general, the coverage area of the related typhoon is relatively large, and the number of the affected communication base stations is large. The typhoon early warning method for the communication base station in the prior art cannot provide the communication base station needing important protection, and easily causes that the communication base station needing important protection is not protected in a targeted manner, so that the communication base station needing important protection has a larger risk of getting rid of service.
Disclosure of Invention
The embodiment of the invention provides a typhoon early warning method and a device for a base station, which are used for solving the problems that a communication base station needing important protection cannot be provided by the typhoon early warning method for the communication base station in the prior art, and the communication base station needing important protection is easily prevented from being protected in a targeted manner, so that the communication base station needing important protection has a large service withdrawal risk.
In a first aspect, an embodiment of the present invention provides a typhoon warning method for a base station, including:
acquiring typhoon data information of the predicted typhoon;
calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted;
and outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection.
In a second aspect, an embodiment of the present invention provides a typhoon warning device for a base station, including:
the data acquisition module is used for acquiring typhoon data information of the predicted typhoon;
the risk early warning module is used for calculating the out-of-service risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the predicted typhoon;
and the early warning output module is used for outputting the base station with the out-of-service risk weight larger than a preset threshold value of the base station centralized base station to a user as the base station needing key protection.
In a third aspect, an embodiment of the present invention provides a typhoon warning device for a base station, including a memory, a processor, and a computer program stored on the memory and operable on the processor, where the processor executes the computer program to implement the steps in the typhoon warning method for the base station according to the embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the typhoon warning method of the base station according to the embodiment of the present invention.
The typhoon early warning method provided by the embodiment of the invention comprises the following steps: acquiring typhoon data information of the predicted typhoon; calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted; and outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection. The embodiment of the invention can output the base station which needs important protection, thereby pertinently protecting the base station which needs important protection in advance and reducing the service quitting risk of the base station which needs important protection.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a typhoon warning method of a base station according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a typhoon warning device of a base station according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a typhoon warning device of another base station according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a typhoon warning device of another base station according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a typhoon warning device of another base station according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another typhoon warning device of a base station according to an embodiment of the present invention.
Detailed Description
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, not all, embodiments of the present 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.
Referring to fig. 1, fig. 1 is a schematic flow chart of a typhoon warning method of a base station according to an embodiment of the present invention, where the typhoon warning method includes:
The typhoon data information may include the strength of the typhoon wind ring, the center position of the typhoon, the wind speed of the typhoon, the wind ring radius of the typhoon, and the like. The obtaining of the typhoon data information of the predicted typhoon may be the real-time collection of the typhoon data information of the predicted typhoon by a typhoon broadcasting system of a meteorological department.
And 102, calculating the service quit risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon of the predicted typhoon.
The base station can be a communication base station, the base station attribute value is used for describing the service quitting attribute of the base station under historical typhoons, and the base station attribute value can be counted according to the service quitting information of the base station under each historical typhoon. The out-of-service risk weight is used for describing the risk of the base station out of service in typhoon. Specifically, the wind power information of the predicted typhoon may be obtained according to the typhoon data information of the predicted typhoon; finding out a base station attribute value corresponding to the wind power information of the predicted typhoon from the base station attribute values as a target attribute value; acquiring a plurality of quit-service attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set; and calculating the multiple service quitting attribute values of each base station according to a preset rule to obtain the service quitting risk weight of each base station, wherein the preset rule can be summation, or summation after each service quitting attribute value is multiplied by a preset coefficient, and the like. The typhoon coverage area can be obtained by estimating the typhoon wind influence radius according to the center position of the typhoon wind ring and the wind speed, and performing radius extension from the center position of the wind ring to define the typhoon coverage area.
And 103, outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing important protection.
The preset threshold may be a fixed value set according to experience, or a value related to the historical base station fallback statistical data and continuously updated according to the historical base station fallback statistical data. Preferably, the preset threshold is obtained by a sixth ratio, where the sixth ratio is a ratio of the total number of the out-of-service base stations to the total number of the power-off base stations. The sixth ratio is used for describing the proportion of the deputy base station in the power failure base station. Specifically, after a certain typhoon passes, the total number of the depowered base stations in the base stations within the coverage area of the typhoon may be counted, and the total number of the power failure base stations in the base stations within the coverage area of the typhoon may be counted. The preset threshold is obtained by a sixth ratio, specifically, each historical typhoon may be classified according to wind power information, and a mean value of the sixth ratio under a plurality of historical typhoons that are the same as the wind power information of the predicted typhoon is calculated, where the preset threshold is positively correlated with the mean value of the sixth ratio, and as a preferred embodiment, the preset threshold is in direct proportion to the mean value of the sixth ratio.
The typhoon early warning method provided by the embodiment of the invention comprises the following steps: acquiring typhoon data information of the predicted typhoon; calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted; and outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection. The embodiment of the invention can output the base station which needs important protection, thereby pertinently protecting the base station which needs important protection in advance and reducing the service quitting risk of the base station which needs important protection.
Optionally, before the calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute value of the base station in the base station set, the method further includes:
acquiring typhoon data information of historical typhoons and base station service quitting information under each historical typhoon, wherein the typhoon data information comprises coverage of the typhoons and wind power information of the typhoons;
and acquiring the base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station fallback information.
The base station service quitting information is used to describe service quitting characteristics of the base station in historical typhoons, and specifically may include: the system comprises a ratio a of the number of base stations with the upper station difficulty level larger than a preset level in the out-of-service base station to the total number of the out-of-service base stations, a ratio b of the number of base stations with the distance from a stay point in the out-of-service base station to the base station exceeding a preset distance to the total number of the out-of-service base stations, a ratio c of the number of base stations with the one-time power-off duration lower than a preset duration in the out-of-service base station to the total number of the out-of-service base stations, a ratio d of the number of base stations with the tower height in the out-of-service base station within a preset height range to the total number of the out-of-. The wind information may be wind speed, such as 7-stage typhoon, 6-stage typhoon, 5-stage typhoon, etc. And acquiring the attribute value of the base station under each piece of wind power information according to the typhoon data information of the historical typhoon and the service quitting information of the base stationFor example, when the preset rule is averaging, the base station attribute value is: a is7avg，b7avg，c7avg，d7avg，e7avg。
And acquiring the base station attribute value under each wind power information through the typhoon data information of the historical typhoon and the base station fallback information, so that the base station which needs key protection can be conveniently selected from the base stations.
Optionally, the calculating the service quitting risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set includes:
acquiring wind power information of the predicted typhoon according to the typhoon data information of the predicted typhoon;
finding out a base station attribute value corresponding to the wind power information of the predicted typhoon from the base station attribute values as a target attribute value;
acquiring a plurality of quit-service attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set;
and summing the plurality of out-of-service attribute values of each base station to obtain the out-of-service risk weight of each base station.
The wind power information of the predicted typhoon can be wind power and wind speed of the predicted typhoon. Taking the prediction of typhoon as 7-class typhoon as an example for explanation, the attribute value of the base station under 7-class typhoon may be found as a target attribute value, for example: a is7avg，b7avg，c7avg，d7avg，e7avg. The attributes of the base station may include: the difficulty level of the station-loading, the distance between the stationing point and the base station, the time length of one-time power-off, the tower height, the tower type and the like. When the difficulty level of the base station is higher than the preset level, the out-of-service attribute value packet of the base stationComprises a7avg(ii) a When the distance from the resident point of the base station to the base station exceeds the preset distance, the out-of-service attribute value of the base station comprises b7avg(ii) a When the one-time power-off duration of the base station is less than the preset duration, the out-of-service attribute value of the base station comprises c7avg(ii) a When the tower height of the base station is within the preset height range, the out-of-service attribute value of the base station comprises d7avg(ii) a When the tower type of the base station is a preset tower type, the out-of-service attribute value of the base station comprises e7avg. The base station attribute data may be synchronized from the operation and maintenance system and stored in a base station basic information table, and the key contents of the base station basic information table may include: the method comprises the following steps of site name, site code, tower height, site longitude and latitude, site getting-on difficulty level, site departure time from a residence point, site one-time power-off time and the like. Acquiring the wind power information of the predicted typhoon according to the typhoon data information of the predicted typhoon, finding a base station attribute value corresponding to the wind power information of the predicted typhoon in the base station attribute values as a target attribute value, acquiring a plurality of retreating attribute values of each base station according to the target attribute value and the attributes of the base stations in the base station set, and summing the plurality of retreating attribute values of each base station to acquire the retreating risk weight of each base station, thereby further facilitating the selection of the base station from the base stations as the base station needing key protection.
Optionally, the base station fallback information includes one or more of the following five:
a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio;
wherein,
a first ratio: the station-up difficulty level in the out-of-service base station is larger than the ratio of the number of base stations with preset levels to the total number of the out-of-service base stations;
the second ratio is: the ratio of the number of base stations with the distance from the resident point in the quit-service base station to the base station exceeding the preset distance to the total number of the quit-service base stations;
the third ratio: the ratio of the number of base stations with the one-time power-off duration being lower than the preset duration to the total number of the power-off base stations in the power-off base stations;
a fourth ratio: the ratio of the number of base stations with the tower height within a preset height range in the out-of-service base station to the total number of the out-of-service base stations;
a fifth ratio: the tower type in the back-off base station is the ratio of the number of base stations of the preset tower type to the total number of the back-off base stations.
Wherein, the difficulty level of going to the website can include one-level degree of difficulty, the second grade degree of difficulty and tertiary degree of difficulty, and the basic station of one-level degree of difficulty can be the basic station of easily going to the website, and the basic station site of one-level degree of difficulty can be in the region that base station maintainer easily reaches, for example: the base station address of the first level difficulty is arranged in an area purchased by a base station maintenance company; the base station with the secondary difficulty can be a base station needing to coordinate to get on the station, and the site of the base station with the secondary difficulty can be in an area needing to coordinate other personnel to get on the station, for example: the base station address of the second level difficulty is arranged on the roof of the school, and then the relevant responsible persons of the school need to be coordinated in advance to request assistance for getting on the station. The base station with the third level of difficulty can be a base station which is difficult to get on the station, and the site of the base station with the third level of difficulty can be in a remote dangerous area, for example: the base station sites with the third-level difficulty can be arranged in the areas such as high mountain islands and the like. The first ratio is used for describing the proportion of the base station with the upper station difficulty level being greater than the preset level in the deprecated base station in the typhoon, and the preset level can be set to be three-level difficulty. Specifically, after a certain typhoon passes through, the total number of the out-of-service base stations in the base stations within the coverage range of the typhoon is counted, the total number of the out-of-service base stations is the number of the base stations out of service, the number of the base stations with the upper station difficulty level larger than the third-level difficulty level in the total number of the out-of-service base stations is counted, and the first ratio is the ratio of the number of the base stations with the upper station difficulty level larger than the third-level difficulty level in the total number of the out-of-service base stations to the total number of the. The stagnation point may be a specific area where a person who maintains the base station is located, the person being set near the base station. The second ratio is used for describing the proportion of the base station with the distance from the stationary point to the base station under the typhoon being greater than the preset distance in the depreciation base station. Specifically, after a certain typhoon passes through, the total number of the out-of-service base stations in the base stations within the coverage area of the typhoon is counted, and the number of the base stations whose distance from the stationing point to the base station is greater than the preset distance in the total number of the out-of-service base stations is counted. The preset distance may be a set value, for example: one hour from the stagnation point to the base station.
And the third ratio is used for describing the proportion of the base station with the one-time power-off duration being lower than the preset duration in the out-of-service base station. Specifically, after a certain typhoon passes through, the total number of the out-of-service base stations in the base stations within the coverage area of the typhoon is counted, and the number of the base stations with the power-down time length being lower than the preset time length in the total number of the out-of-service base stations is counted. The preset time period is not limited in the embodiment of the invention, and preferably, the preset time period can be 180 minutes.
And the fourth ratio is used for describing the proportion of the base station with the tower height within the preset height range in the out-of-service base station. Specifically, after a certain typhoon passes, the total number of the out-of-service base stations in the base stations within the coverage area of the typhoon is counted, and the number of the base stations with the tower height within the preset height range in the total number of the out-of-service base stations is counted. The preset height range is not limited in the embodiment of the present invention, for example, the preset height range may be 40 to 60 meters.
And the fifth ratio is used for describing the proportion of the base station with the tower type being the preset tower type in the out-of-service base station. Specifically, after a certain typhoon passes, the total number of the out-of-service base stations in the base stations within the coverage area of the typhoon is counted, and the number of the base stations with the tower type being the preset tower type in the total number of the out-of-service base stations is counted. The preset tower type is not limited in the embodiment of the invention, and for example, the preset tower type may be a triangular tower or the like.
The method comprises the steps of obtaining typhoon data, drawing an x-y curve according to typhoon wind speed information and base station refuge information, wherein the x axis is wind speed, the y axis is a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio, the x-y ratio relation can be stored in a wind speed and base station refuge information table, the base station refuge information is updated continuously through continuous increase of typhoon data, and self-learning correction can be conducted continuously through continuous increase of sample data, and finally the result approaches to stability.
And taking one or more of the first ratio, the second ratio, the third ratio, the fourth ratio and the fifth ratio as service quitting characteristic information to obtain a service quitting experience value of the base station under the historical typhoon, and further facilitating selection of the base station as the base station needing important protection.
Optionally, the obtaining, according to the typhoon data information of the historical typhoon and the base station fallback information, the base station attribute value under each piece of wind power information includes:
classifying each historical typhoon according to wind power information;
and taking the average value of the refuge information of each base station of a plurality of historical base stations under the same wind power information as the attribute value of the base station under the wind power information.
The classifying the historical typhoons according to the wind power information may specifically be classifying the historical typhoons according to the wind power and wind speed, and classifying the typhoons with the same wind power and wind speed into one class, for example: and classifying 7-level typhoons in the historical typhoons into one class, classifying 6-level typhoons in the historical typhoons into one class, classifying 5-level typhoons in the historical typhoons into one class, and the like. The base station service quitting information is used for describing service quitting characteristics of the base station under historical typhoon, and may include a first ratio, a second ratio, a third ratio, a fourth ratio, a fifth ratio and the like. Specifically, the explanation is given by taking the example that the base station service quitting information includes a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio, and the following steps are adopted to calculate the base station attribute value under the N-level typhoon: finding out N-level typhoons in the historical typhoons, wherein N is a positive integer, calculating a first ratio a, a second ratio b, a third ratio c, a fourth ratio d and a fifth ratio e under each N-level typhoon, and averaging the first ratios under each N-level typhoon to obtain aavgAnd obtaining the average value of the second ratio under each N-level typhoon to obtain bavgAnd obtaining the average value of the third ratio under each N-level typhoon to obtain cavgAnd obtaining d by averaging the fourth ratio under each N-level typhoonavgAnd e is obtained by averaging the fifth ratios under each N-level typhoonavgThe attribute value of the base station under N-level typhoon comprises aavg，bavg，cavg，davg，eavg. Taking 7-class typhoon as an example, the following steps are adopted for calculating the attribute value of the base station under the 7-class typhoon: finding out historical typhoonThe first ratio a of 7-stage typhoon is calculated7Second ratio b7Third ratio c7Fourth ratio d7Fifth ratio e7And averaging the first ratios of the 7-level typhoons to obtain a7avgAnd obtaining the average value of the second ratios under each 7-level typhoon to obtain b7avgAnd obtaining the average value of the third ratio under each 7-level typhoon to obtain c7avgAnd obtaining d by averaging the fourth ratio under each 7-level typhoon7avgAnd e is obtained by averaging the fifth ratios under 7-level typhoons7avgAnd the attribute values of the base station under 7-level typhoon comprise a7avg，b7avg，c7avg，d7avg，e7avg. By adopting the method, the attribute value of the base station under each stage of typhoon can be calculated.
The historical typhoons are classified according to the wind power information, the average value of the retreating information of each base station of a plurality of base stations under the historical typhoons with the same wind power information is used as the attribute value of the base station under the wind power information, and the base stations needing important protection can be further selected from the base stations conveniently.
Optionally, the resignation attribute value further includes: the base station monitoring method comprises a base station reassurance value and a base station historical quit-service value, wherein the base station reassurance value is used for representing the importance level of a base station, and the base station historical quit-service value is positively correlated with the quit-service times of the base station in a preset time range.
The base station re-securing value is used to indicate the importance level of the base station, and may be preset as one of the attributes of the base station, for example: the base station re-guarantee value of the important base station can be 0.5, the base station re-guarantee value of the secondary important base station can be 0.4, and so on, the importance level of the base station can be divided into five levels, and the base station re-guarantee values can be 0.5, 0.4, 0.3, 0.2 and 0.1.
Specifically, the historical service quitting value of the base station may be in direct proportion to the service quitting times of the base station within a preset time range, and the preset time range may be one year.
The service quitting attribute value comprises a base station reassurance value and a base station historical service quitting value, and the base station which needs key protection can be further conveniently selected from the base stations.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a typhoon warning device of a base station according to an embodiment of the present invention, where the typhoon warning device 200 includes:
a data acquisition module 201, configured to acquire typhoon data information of a predicted typhoon;
a risk early warning module 202, configured to calculate a fallback risk weight of each base station according to the typhoon data information of the predicted typhoon and a base station attribute value of a base station in a base station set, where the base station set is a set of base stations in a coverage area of the predicted typhoon;
and the early warning output module 203 is configured to output the base station with the out-of-service risk weight greater than the preset threshold value of the base station in the base station set as the base station requiring the key protection to the user.
Optionally, as shown in fig. 3, the apparatus 200 further includes:
the historical data acquisition module 204 is used for acquiring typhoon data information of historical typhoons and base station service quitting information under each historical typhoon, wherein the typhoon data information comprises coverage of the typhoons and wind power information of the typhoons;
and the historical data analysis module 205 is configured to obtain a base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station fallback information.
Optionally, as shown in fig. 4, the risk early warning module 202 includes:
a first obtaining unit 2021, configured to obtain wind power information of the predicted typhoon according to the typhoon data information of the predicted typhoon;
a second obtaining unit 2022, configured to find a base station attribute value corresponding to the wind information of the predicted typhoon in the base station attribute values as a target attribute value;
a third obtaining unit 2023, configured to obtain multiple fallback attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set;
a fourth obtaining unit 2024, configured to sum the multiple resignation attribute values of the respective base stations to obtain a resignation risk weight of the respective base station.
Optionally, the base station fallback information includes one or more of the following five:
a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio;
wherein,
a first ratio: the station-up difficulty level in the out-of-service base station is larger than the ratio of the number of base stations with preset levels to the total number of the out-of-service base stations;
the second ratio is: the ratio of the number of base stations with the distance from the resident point in the quit-service base station to the base station exceeding the preset distance to the total number of the quit-service base stations;
the third ratio: the ratio of the number of base stations with the one-time power-off duration being lower than the preset duration to the total number of the power-off base stations in the power-off base stations;
a fourth ratio: the ratio of the number of base stations with the tower height within a preset height range in the out-of-service base station to the total number of the out-of-service base stations;
a fifth ratio: the tower type in the back-off base station is the ratio of the number of base stations of the preset tower type to the total number of the back-off base stations.
Optionally, as shown in fig. 5, the historical data analysis module 205 includes:
a classification unit 2051, configured to classify each historical typhoon according to wind power information;
and an analyzing unit 2052, configured to use an average value of each piece of base station fallback information of multiple historical base stations under the same wind power information as a base station attribute value under the wind power information.
Optionally, the resignation attribute value further includes: the base station monitoring method comprises a base station reassurance value and a base station historical quit-service value, wherein the base station reassurance value is used for representing the importance level of a base station, and the base station historical quit-service value is positively correlated with the quit-service times of the base station in a preset time range.
The typhoon early warning device of the base station provided by the embodiment of the invention can realize each process in the typhoon early warning method of the base station shown in fig. 1, and can achieve the same beneficial effects, and for avoiding repetition, the details are not repeated here.
Referring to fig. 6, fig. 6 is a schematic structural diagram of another typhoon warning device of a base station according to an embodiment of the present invention, and as shown in fig. 6, the typhoon warning device includes: a memory 62, a processor 61 and a computer program stored on said memory 62 and executable on said processor 61, wherein:
the processor 61 is used for reading the program in the memory 62 and executing the following processes:
acquiring typhoon data information of the predicted typhoon;
calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted;
and outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection.
In fig. 6, the bus architecture may include any number of interconnected buses and bridges, with various circuits of one or more processors, represented by processor 61, and memory, represented by memory 62, being linked together. The bus architecture may also link together 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. The bus interface provides an interface.
The processor 61 is responsible for managing the bus architecture and general processing, and the memory 62 may store data used by the processor 61 in performing operations.
It should be noted that the memory 62 is not limited to be only on the typhoon warning device of the base station, and the memory 62 and the processor 61 may be separated to be located at different geographical locations.
Optionally, before the process executed by the processor 61, before calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute value of the base station in the base station set, the process executed by the processor 61 further includes:
acquiring typhoon data information of historical typhoons and base station service quitting information under each historical typhoon, wherein the typhoon data information comprises coverage of the typhoons and wind power information of the typhoons;
and acquiring the base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station fallback information.
Optionally, the calculating, by the processor 61, the out-of-service risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute value of the base station in the base station set includes:
acquiring wind power information of the predicted typhoon according to the typhoon data information of the predicted typhoon;
finding out a base station attribute value corresponding to the wind power information of the predicted typhoon from the base station attribute values as a target attribute value;
acquiring a plurality of quit-service attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set;
and summing the plurality of out-of-service attribute values of each base station to obtain the out-of-service risk weight of each base station.
Optionally, the base station fallback information includes one or more of the following five:
a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio;
wherein,
a first ratio: the station-up difficulty level in the out-of-service base station is larger than the ratio of the number of base stations with preset levels to the total number of the out-of-service base stations;
the second ratio is: the ratio of the number of base stations with the distance from the resident point in the quit-service base station to the base station exceeding the preset distance to the total number of the quit-service base stations;
the third ratio: the ratio of the number of base stations with the one-time power-off duration being lower than the preset duration to the total number of the power-off base stations in the power-off base stations;
a fourth ratio: the ratio of the number of base stations with the tower height within a preset height range in the out-of-service base station to the total number of the out-of-service base stations;
a fifth ratio: the tower type in the back-off base station is the ratio of the number of base stations of the preset tower type to the total number of the back-off base stations.
Optionally, the obtaining, by the processor 61, the base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station fallback information includes:
classifying each historical typhoon according to wind power information;
and taking the average value of the refuge information of each base station of a plurality of historical base stations under the same wind power information as the attribute value of the base station under the wind power information.
Optionally, the resignation attribute value further includes: the base station monitoring method comprises a base station reassurance value and a base station historical quit-service value, wherein the base station reassurance value is used for representing the importance level of a base station, and the base station historical quit-service value is positively correlated with the quit-service times of the base station in a preset time range.
It should be noted that any implementation manner in the method embodiment of the present invention may be implemented by the typhoon warning device of the base station in this embodiment, and the same beneficial effects are achieved, and details are not described here.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the embodiment of the typhoon warning method for a base station, and can achieve the same technical effect, and is not described herein again to avoid repetition. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (5)
1. A typhoon early warning method of a base station is characterized by comprising the following steps:
acquiring typhoon data information of the predicted typhoon;
calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the typhoon predicted;
outputting the base station with the out-of-service risk weight of the base station centralized base station larger than a preset threshold value to a user as the base station needing key protection;
the step of calculating the out-of-service risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set comprises the following steps:
acquiring wind power information of the predicted typhoon according to the typhoon data information of the predicted typhoon;
finding out a base station attribute value corresponding to the wind power information of the predicted typhoon from the base station attribute values as a target attribute value;
acquiring a plurality of quit-service attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set;
summing the plurality of out-of-service attribute values of each base station to obtain an out-of-service risk weight of each base station;
before calculating the depreciation risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, the method further comprises the following steps:
acquiring typhoon data information of historical typhoons and base station service quitting information under each historical typhoon, wherein the typhoon data information comprises coverage of the typhoons and wind power information of the typhoons;
acquiring a base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station service quitting information;
the base station fallback information comprises one or more of the following five:
a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio;
wherein,
a first ratio: the station-up difficulty level in the out-of-service base station is larger than the ratio of the number of base stations with preset levels to the total number of the out-of-service base stations;
the second ratio is: the ratio of the number of base stations with the distance from the resident point in the quit-service base station to the base station exceeding the preset distance to the total number of the quit-service base stations;
the third ratio: the ratio of the number of base stations with the one-time power-off duration being lower than the preset duration to the total number of the power-off base stations in the power-off base stations;
a fourth ratio: the ratio of the number of base stations with the tower height within a preset height range in the out-of-service base station to the total number of the out-of-service base stations;
a fifth ratio: the tower type in the back-off base station is the ratio of the number of base stations of the preset tower type to the total number of the back-off base stations.
2. The method of claim 1, wherein the obtaining of the base station attribute value under each wind force information according to the typhoon data information of the historical typhoon and the base station fallback information comprises:
classifying each historical typhoon according to wind power information;
and taking the average value of the refuge information of each base station of a plurality of historical base stations under the same wind power information as the attribute value of the base station under the wind power information.
3. The method of claim 1, wherein the fallback attribute value further comprises: the base station monitoring method comprises a base station reassurance value and a base station historical quit-service value, wherein the base station reassurance value is used for representing the importance level of a base station, and the base station historical quit-service value is positively correlated with the quit-service times of the base station in a preset time range.
4. The utility model provides a typhoon early warning device of base station which characterized in that includes:
the data acquisition module is used for acquiring typhoon data information of the predicted typhoon;
the risk early warning module is used for calculating the out-of-service risk weight of each base station according to the typhoon data information of the predicted typhoon and the base station attribute values of the base stations in the base station set, wherein the base station set is a set of base stations in the coverage range of the predicted typhoon;
the early warning output module is used for outputting the base station with the out-of-service risk weight larger than a preset threshold value of the base station centralized base station to a user as the base station needing key protection;
the risk early warning module includes:
a first obtaining unit configured to obtain wind power information of the predicted typhoon from typhoon data information of the predicted typhoon;
a second obtaining unit, configured to find a base station attribute value corresponding to the wind power information of the predicted typhoon from the base station attribute values as a target attribute value;
a third obtaining unit, configured to obtain multiple fallback attribute values of each base station according to the target attribute value and the attribute of each base station in the base station set;
a fourth obtaining unit, configured to sum the multiple resignation attribute values of each base station to obtain a resignation risk weight of each base station;
the device further comprises:
the system comprises a historical data acquisition module, a power management module and a power management module, wherein the historical data acquisition module is used for acquiring typhoon data information of historical typhoons and base station service quitting information under each historical typhoon, and the typhoon data information comprises the coverage range of the typhoons and the wind power information of the typhoons;
the historical data analysis module is used for acquiring the base station attribute value under each piece of wind power information according to the typhoon data information of the historical typhoon and the base station service quitting information;
the base station fallback information comprises one or more of the following five:
a first ratio, a second ratio, a third ratio, a fourth ratio and a fifth ratio;
wherein,
a first ratio: the station-up difficulty level in the out-of-service base station is larger than the ratio of the number of base stations with preset levels to the total number of the out-of-service base stations;
the second ratio is: the ratio of the number of base stations with the distance from the resident point in the quit-service base station to the base station exceeding the preset distance to the total number of the quit-service base stations;
the third ratio: the ratio of the number of base stations with the one-time power-off duration being lower than the preset duration to the total number of the power-off base stations in the power-off base stations;
a fourth ratio: the ratio of the number of base stations with the tower height within a preset height range in the out-of-service base station to the total number of the out-of-service base stations;
a fifth ratio: the tower type in the back-off base station is the ratio of the number of base stations of the preset tower type to the total number of the back-off base stations.
5. A typhoon warning device of a base station, characterized by comprising a memory, a processor and a computer program stored on the memory and operable on the processor, the processor implementing the steps in the typhoon warning method of the base station according to any one of claims 1 to 3 when executing the computer program.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103246936A (en) * | 2013-04-24 | 2013-08-14 | 广东电网公司中山供电局 | System and method for pre-warning of typhoon risks of overhead transmission lines of grid |
| WO2017032210A1 (en) * | 2015-08-24 | 2017-03-02 | 国家电网公司 | Cluster analysis based power transmission line mountain fire risky area division method |
| CN107316163A (en) * | 2017-07-18 | 2017-11-03 | 海南师范大学 | A kind of district disaster methods of risk assessment |
| CN107706953A (en) * | 2016-08-09 | 2018-02-16 | 中国移动通信集团湖北有限公司 | A kind of base station method of supplying power to and device |
| CN108152867A (en) * | 2017-12-29 | 2018-06-12 | 南方电网科学研究院有限责任公司 | Typhoon early warning system and method for power transmission line |
-
2019
- 2019-01-14 CN CN201910032053.4A patent/CN109767124B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103246936A (en) * | 2013-04-24 | 2013-08-14 | 广东电网公司中山供电局 | System and method for pre-warning of typhoon risks of overhead transmission lines of grid |
| WO2017032210A1 (en) * | 2015-08-24 | 2017-03-02 | 国家电网公司 | Cluster analysis based power transmission line mountain fire risky area division method |
| CN107706953A (en) * | 2016-08-09 | 2018-02-16 | 中国移动通信集团湖北有限公司 | A kind of base station method of supplying power to and device |
| CN107316163A (en) * | 2017-07-18 | 2017-11-03 | 海南师范大学 | A kind of district disaster methods of risk assessment |
| CN108152867A (en) * | 2017-12-29 | 2018-06-12 | 南方电网科学研究院有限责任公司 | Typhoon early warning system and method for power transmission line |
Non-Patent Citations (1)
| Title |
|---|
| "输电线路风偏闪络风险评估模型研究";杨恒等;《贵州电力技术》;20151130;第18卷(第11期);第72-75页 * |
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