CN110956152A - Multi-scale analysis method and system for forest fire of power transmission line - Google Patents
Multi-scale analysis method and system for forest fire of power transmission line Download PDFInfo
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Abstract
本发明公开了一种输电线路山火多尺度分析方法及系统，该方法包括：通过小波分解，将原始的山火发生数量序列分解为一个低频分量和若干个不同层次的高频分量；根据所述低频分量分析得到山火发生序列的趋势规律；根据所述若干个不同层次的高频分量分析得到山火在不同时间尺度上的变化规律。本发明可分析山火发生的趋势规律以及在不同时间尺度上的变化规律；原理清晰，操作方便；可用于指导制定合理的山火灾害防治规划。
The invention discloses a method and system for multi-scale analysis of mountain fires in transmission lines. The method includes: decomposing an original number sequence of mountain fires into a low-frequency component and several high-frequency components at different levels through wavelet decomposition; According to the low-frequency component analysis, the trend law of the mountain fire occurrence sequence is obtained; according to the high-frequency component analysis of several different levels, the change law of the mountain fire on different time scales is obtained. The invention can analyze the trend rule of mountain fire occurrence and the change rule on different time scales; the principle is clear and the operation is convenient; it can be used to guide the formulation of a reasonable mountain fire disaster prevention plan.
Description
Technical Field
The invention relates to the technical field of power grid protection, in particular to a multi-scale analysis method and system for forest fire of a power transmission line.
Background
In recent years, mountain fire in China is on a trend of rising year by year, and in the period of high mountain fire, the mountain fire can be hundreds of times a day, so that multiple lines can trip simultaneously, and the safe and stable operation of a large power grid is seriously influenced.
In order to effectively prevent and treat mountain fire disasters, the law of mountain fire occurrence is firstly analyzed. The current mountain fire occurrence rule mainly focuses on drawing a mountain fire distribution diagram and analyzing a mountain fire high occurrence period, and the change rule of the mountain fire in different time periods is not deeply disclosed.
The invention provides a multi-scale analysis method and a multi-scale analysis system for the forest fire of a power transmission line, which can analyze the change rules of the forest fire in different time periods and provide important decision support for the forest fire prevention and control planning.
Disclosure of Invention
The invention provides a multi-scale analysis method and a multi-scale analysis system for forest fires of a power transmission line, which are used for solving the technical problem that the change rule of different time periods of the forest fires is not deeply disclosed in the prior art.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a multi-scale analysis method for forest fire of a power transmission line comprises the following steps:
s3, decomposing the original mountain fire occurrence number sequence into a low-frequency component and a plurality of high-frequency components of different levels through wavelet decomposition;
s4, obtaining a trend rule of the mountain fire occurrence sequence according to low-frequency component analysis;
and S5, obtaining the change rule of the mountain fire on different time scales according to a plurality of high-frequency component analysis of different levels.
Preferably, in step S3, the original sequence of mountain fire occurrence numbers is decomposed into a low-frequency component coefficient and several high-frequency component coefficients of different levels;
in the step S4, reconstructing the low frequency component coefficient to obtain a low frequency component sequence, and analyzing the low frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
in step S5, the method further includes reconstructing the high-frequency component coefficients to obtain high-frequency component sequences at different levels, and analyzing the high-frequency component sequences at different levels to obtain a change rule of the forest fire on different time scales.
Preferably, before the step S3 is performed, the method further includes:
s1, collecting historical long series data of the number of mountain fires of the power transmission line;
s2, selecting proper wavelet basis functions and decomposition levels according to the characteristics of the historical long series data;
in step S3, wavelet decomposition is performed according to the wavelet basis functions and the decomposition levels.
The invention also provides a multi-scale analysis system for the forest fire of the power transmission line, which comprises the following components:
the wavelet decomposition unit is used for decomposing the original mountain fire occurrence number sequence into a low-frequency component and a plurality of high-frequency components of different levels through wavelet decomposition;
the mountain fire occurrence trend analysis unit is used for analyzing and obtaining a trend rule of a mountain fire occurrence sequence according to the low-frequency component;
and the mountain fire occurrence multi-time scale change rule analysis unit is used for analyzing and obtaining the change rule of the mountain fire on different time scales according to a plurality of high-frequency components at different levels.
Preferably, when the wavelet decomposition unit decomposes, the original mountain fire occurrence number sequence is decomposed into a low-frequency component coefficient and a plurality of high-frequency component coefficients of different levels;
the mountain fire occurrence trend analysis unit is also used for reconstructing the low-frequency component coefficient to obtain a low-frequency component sequence, and analyzing according to the low-frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
the analysis unit is also used for reconstructing the high-frequency component coefficients to obtain high-frequency component sequences of different levels, and analyzing the change rules of the forest fire on different time scales according to the high-frequency component sequences of the different levels.
Preferably, the method further comprises the following steps:
the data collection unit is used for collecting historical long series data of the number of the forest fires of the power transmission line;
and the layer selection unit selects a proper wavelet basis function and decomposition level for the wavelet decomposition unit to carry out wavelet decomposition according to the characteristics of the historical long series data.
The invention has the following beneficial effects:
the multi-scale analysis method and the multi-scale analysis system for the forest fire of the power transmission line can analyze the trend rule of the forest fire and the change rule of the forest fire on different time scales; the principle is clear, the operation is convenient, and the practical value is high; can be used for guiding and formulating reasonable prevention and control plan of mountain fire disaster.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of a multi-scale analysis method for forest fire of a power transmission line according to a preferred embodiment of the invention;
FIG. 2 is a diagram for collecting the data of the number of mountain fires in the historical year according to the preferred embodiment 1 of the present invention;
FIG. 3 is a schematic diagram showing the sequence decomposition of the amount of mountain fire occurrence in the preferred embodiment 1 of the present invention;
fig. 4 is a schematic diagram of a low frequency component sequence and a high frequency component sequence of the preferred embodiment 1 of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Referring to fig. 1, the multi-scale analysis method for the forest fire of the power transmission line comprises the following steps:
s3, decomposing the original mountain fire occurrence number sequence into a low-frequency component and a plurality of high-frequency components of different levels through wavelet decomposition;
s4, obtaining a trend rule of the mountain fire occurrence sequence according to low-frequency component analysis;
and S5, obtaining the change rule of the mountain fire on different time scales according to a plurality of high-frequency component analysis of different levels.
The steps can analyze the trend rule of the mountain fire and the change rule on different time scales. In practice, the above method can be expanded or applied as follows, all the technical features in the following embodiments can be combined with each other, and the embodiments are only used as examples and are not limited to the normal combination of the technical features.
Example 1:
the multi-scale analysis method for the forest fire of the power transmission line comprises the following steps:
s1, collecting historical long series data of the number of mountain fires of the power transmission line; referring to fig. 2, the present embodiment is described by taking the data of the number of mountain fires in the historical year as an example.
S2, selecting proper wavelet basis functions and decomposition levels according to the characteristics of the historical long series data; according to the characteristics of the mountain fire point number data of FIG. 2, a db1 wavelet basis function is selected and the decomposition level is set to 3 levels.
S3, performing wavelet decomposition according to the wavelet basis functions and decomposition levels, and decomposing the original mountain fire occurrence number sequence into a low-frequency component coefficient and 3 high-frequency component coefficients of different levels with reference to FIG. 3;
s4, reconstructing the low-frequency component coefficient to obtain a low-frequency component sequence (a 3 component in the figure 4), and analyzing according to the low-frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
and S5, reconstructing the high-frequency component coefficients to obtain high-frequency component sequences (components d1, d2, d3 and d4 in the figure 4) of different levels, and analyzing the high-frequency component sequences of the different levels to obtain the change rules of the mountain fire on different time scales.
This embodiment still provides a transmission line forest fire multiscale analysis system, includes:
the wavelet decomposition unit is used for decomposing the original mountain fire occurrence number sequence into a low-frequency component coefficient and a plurality of high-frequency component coefficients of different levels through wavelet decomposition;
the mountain fire occurrence trend analysis unit is also used for reconstructing the low-frequency component coefficient to obtain a low-frequency component sequence, and analyzing according to the low-frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
the analysis unit is also used for reconstructing the high-frequency component coefficients to obtain high-frequency component sequences of different levels, and analyzing the change rules of the forest fire on different time scales according to the high-frequency component sequences of the different levels.
When implemented, the following components are also preferably included:
the data collection unit is used for collecting historical long series data of the number of the forest fires of the power transmission line;
and the layer selection unit selects a proper wavelet basis function and decomposition level for the wavelet decomposition unit to carry out wavelet decomposition according to the characteristics of the historical long series data.
In conclusion, the method can analyze the trend rule of the mountain fire and the change rule on different time scales. The principle is clear, the operation is convenient, and the practical value is high; can be used for guiding and formulating reasonable prevention and control plan of mountain fire disaster.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A multi-scale analysis method for forest fire of a power transmission line is characterized by comprising the following steps:
s3, decomposing the original mountain fire occurrence number sequence into a low-frequency component and a plurality of high-frequency components of different levels through wavelet decomposition;
s4, obtaining a trend rule of the mountain fire occurrence sequence according to the low-frequency component analysis;
and S5, obtaining the change rule of the mountain fire on different time scales according to the plurality of high-frequency component analysis of different levels.
2. The multi-scale analysis method for the forest fire of the power transmission line according to claim 1, wherein in the step S3, the original forest fire occurrence number sequence is decomposed into a low-frequency component coefficient and a plurality of high-frequency component coefficients of different levels;
in the step S4, reconstructing the low frequency component coefficient to obtain a low frequency component sequence, and analyzing the low frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
and in the step S5, reconstructing the high-frequency component coefficients to obtain high-frequency component sequences of different levels, and analyzing the high-frequency component sequences of different levels to obtain the change rules of the forest fire on different time scales.
3. The method for multi-scale analysis of the forest fire of the power transmission line according to claim 1, wherein before the step S3, the method further comprises:
s1, collecting historical long series data of the number of mountain fires of the power transmission line;
s2, selecting proper wavelet basis functions and decomposition levels according to the characteristics of the historical long series data;
in step S3, wavelet decomposition is performed according to the wavelet basis functions and decomposition levels.
4. The utility model provides a transmission line mountain fire multiscale analytic system which characterized in that includes:
the wavelet decomposition unit is used for decomposing the original mountain fire occurrence number sequence into a low-frequency component and a plurality of high-frequency components of different levels through wavelet decomposition;
the mountain fire occurrence trend analysis unit is used for analyzing and obtaining a trend rule of a mountain fire occurrence sequence according to the low-frequency component;
and the mountain fire multi-time scale change rule analysis unit is used for analyzing and obtaining the change rules of the mountain fire on different time scales according to the plurality of high-frequency components at different levels.
5. The power transmission line forest fire multi-scale analysis system according to claim 4, wherein when the wavelet decomposition unit decomposes, an original forest fire occurrence number sequence is decomposed into a low-frequency component coefficient and a plurality of high-frequency component coefficients of different levels;
the mountain fire occurrence trend analysis unit is also used for reconstructing the low-frequency component coefficient to obtain a low-frequency component sequence, and analyzing according to the low-frequency component sequence to obtain a trend rule of the mountain fire occurrence sequence;
the analysis unit for the mountain fire occurrence multi-time scale change rule is further used for reconstructing the high-frequency component coefficients to obtain high-frequency component sequences of different levels, and the change rule of the mountain fire on different time scales is obtained through analysis according to the high-frequency component sequences of the different levels.
6. The power transmission line forest fire multi-scale analysis system according to claim 5, further comprising:
the data collection unit is used for collecting historical long series data of the number of the forest fires of the power transmission line;
and the layer selection unit selects a proper wavelet basis function and decomposition level according to the characteristics of the historical long series data to be used for the wavelet decomposition unit to carry out wavelet decomposition.
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| CN103778418A (en) * | 2014-01-28 | 2014-05-07 | 华南理工大学 | Mountain fire image identification method of image monitoring system of electric transmission line tower |
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- 2019-12-10 CN CN201911261743.3A patent/CN110956152A/en active Pending
Patent Citations (5)
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| CN103778418A (en) * | 2014-01-28 | 2014-05-07 | 华南理工大学 | Mountain fire image identification method of image monitoring system of electric transmission line tower |
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| CN106405339A (en) * | 2016-11-11 | 2017-02-15 | 中国南方电网有限责任公司 | Power transmission line fault reason identification method based on high and low frequency wavelet feature association |
| CN107067683A (en) * | 2017-04-14 | 2017-08-18 | 湖南省湘电试研技术有限公司 | A kind of transmission line forest fire clusters quantitative forecast method and system |
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