CN104463883A - Method for evaluating forest fire spreading risk of power transmission channel - Google Patents
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Abstract
The invention provides a method for evaluating the forest fire spreading risk of a power transmission channel. The method for evaluating the forest fire spreading risk of the power transmission channel is characterized by comprising the following steps that S101, a remote sensing image is preprocessed; S102, fire points and obstruction objective image elements are extracted based on the corrected remote sensing image; S103, fire outbreak point calculation is carried out; S104, the forest fire spreading speed is calculated; S105, burning range estimation is performed within predefined time duration; S106, a power transmission tower set affected by a fire is searched; S107, the forest fire spreading risk of the power transmission channel is evaluated. By the adoption of the method, various data of the wind speed and direction, the topographic slope, the vegetation type, ground barriers and the like are collected, so that a calculation method including forest fire spreading conditions and relevant factors for causing power transmission line tripping by the fire is established, hence, evaluating calculation of the forest fire spreading risk of the power transmission channel is achieved, and the national economy loss caused by large-area outage of a power grid can be effectively prevented and reduced.
Description
Technical field
The present invention relates to electric system and technical field of automation, be specifically related to a kind of passway for transmitting electricity forest fire appealing methods of risk assessment.
Background technology
Along with deepening continuously of national grid intelligent development, the Large scale construction of UHV transmission network, to network greatly, when Large Copacity is the scale of mark, high efficiency electrical network meets with disaster, it affect, and speed is fast, scope extensively, and has socialization trend.Forest fires are one of principal elements causing electrical network disaster.The situation that the work of electrical network anti-forest fires faces is more and more severeer, needs to carry out electric network synthetic fire prevention from many aspects, really could control forest fires to the harm of electrical network, conscientiously improve electric power netting safe running level.Only according to wind direction and humidity two class parameter, anticipate calculating is carried out to forest-fire climate change and forest fire appealing trend in prior art, or the anticipate calculating of forest fires zone of combustion shape is only carried out according to topographic condition and wind condition two class parameter, and have ignored fire point periphery landform, the combustibility of vegetation, the forest fire appealing such as river or highway spacer is on forest fire appealing trend or spread the impact caused in path, and prior art is only using forest fire appealing scope as grid loss risk assessment parameter, do not relate to the incidence relation of flame height and Forest Fire intensity and initiation line tripping, but forest fires burning causes the essential condition of line tripping not to be adequate condition, need comprehensively to obtain trip risk grade in conjunction with other condition elements.
Summary of the invention
The present invention provides a kind of passway for transmitting electricity forest fire appealing methods of risk assessment according to the deficiencies in the prior art, consider and comprise wind speed and direction, terrain slope, vegetation inflammability, spread and intercept the multiple forest fire appealing condition such as the factor and fire causes transmission line of electricity tripping operation correlative factor, realize the appraisal procedure of passway for transmitting electricity forest fire appealing risk.
Technical scheme of the present invention: a kind of passway for transmitting electricity forest fire appealing methods of risk assessment, is characterized in that, comprise the following steps:
S101, preprocessing of remote sensing images: receive Moderate Imaging Spectroradiomete satellite and U.S.National Oceanic air office satellite image data, carry out to remotely-sensed data that solar angle height is corrected, limb darkening is corrected and map projection transformation pre-service;
S102, carry out fiery point, barrier image element extraction based on correcting remote sensing images: carry out remote sensing image fusion based on Moderate Imaging Spectroradiomete satellite 250m resolution visible images 1,2 wave band and 500m resolution near-infrared image 7 wave band, utilize 250m image in different resolution to sentence figure and extract terrestrial object information, utilize 500m image in different resolution to sentence figure and extract fiery point, barrier image element information;
S103, point of origin calculate: the fire point pixel according to obtaining in step S102 obtains flame range polygon, each for polygonal edge point coordinate is weighted mean value calculation and obtains point of origin coordinate P
0;
S104, Speed of forest fire spreading calculate: adopt following formulae discovery duration and degree of heating rate of propagation V
f,
In formula, Kp is fire point position vegetation pattern correction factor; Ks is fire point position terrain slope correction factor; V
wfor fire point position wind speed;
S105, time predefined length combustion scope are estimated: with the point of origin P obtained in step S103
0for the center of circle, Δ t*V
ffor radius, wherein Δ t is time predefined length t/60, V
ffor P
0point Speed of forest fire spreading, obtains circular C
0, C
0with the barrier subtraction calculations in atural object layer, obtain revising combustion range F
0, F
0with isocontour intersection point for burning critical point set G
0, F
0moving Δ d with the intersection point in ruling grade value direction along this wind direction is next central flame point P
1position, wherein Δ d=V
w* Δ t; With P
1for the center of circle, Δ t*V
f' be radius, wherein Δ t is time predefined length t/60, V
f' be P
0point Speed of forest fire spreading, obtains circular C
1, C
1with the barrier subtraction calculations in atural object layer, obtain revising combustion range F
1, F
1with isocontour intersection point for burning critical point set G
1, by that analogy, until t second, by G
0to G
60critical point set couple together and namely obtain combustion range;
S106, to search for by influence of fire transmission tower collection: the combustion range that step S105 calculates and the transmission tower point diagram that distributes carries out crossing calculating, if transmission tower and combustion range are interior or at upper topological relation, then judge that this transmission tower is in forest fires coverage, obtain the shaft tower collection T by influence of fire;
S107, passway for transmitting electricity forest fire appealing evaluation of hazard grade calculate: to each shaft tower t in the shaft tower collection T obtained in step S106
kcarry out buffering to calculate, obtain shaft tower periphery vegetation pattern collection P, choose the vegetation pattern P that in P, average height is the highest
k, according to P
kin vegetation pattern obtain the average height of corresponding vegetation, value is h
k, l
kfor shaft tower t
k2/3rds place's shaft tower height; Work as h
k-l
kduring≤5m, this shaft tower is put into level Four risk shaft tower collection T
4in, work as 5m<h
k-l
kduring≤7m, this shaft tower is put into tertiary risk degree shaft tower collection T
3in, work as 7m<h
k-l
kduring≤10m, this shaft tower is put into secondary risk shaft tower collection T
2in, primary risk degree shaft tower collection T put into by all the other shaft towers
1in, the T finally obtained
1, T
2, T
3and T
4being respectively risk is one-level, secondary, three grades, the shaft tower collection of level Four.
In step S106, transmission tower distribution point diagram is obtained by power network GIS platform or professional electrical network space management platform.
Beneficial effect of the present invention is:
1. extract the data such as point of origin, barrier, vegetation pattern, terrain slope by satellite remote-sensing image, consider and comprise wind speed and direction, terrain slope, vegetation inflammability, spread and intercept the factor etc. and fire spreading correlation factor, forest fire appealing computation model can be set up;
2. obtain transmission tower distribution point diagram by professional power network GIS platform, carry out trip risk evaluates calculation based on shaft tower figure, Risk Calculation result precision can be improved.
Accompanying drawing explanation
Fig. 1 is overall flow figure of the present invention;
Fig. 2 is the particular flow sheet of the step S105 in Fig. 1;
Fig. 3 is the particular flow sheet of the step S106 in Fig. 1;
Fig. 4 is the particular flow sheet of the step S107 in Fig. 1;
Fig. 5 is the schematic diagram of S201 in Fig. 2;
Fig. 6 is the schematic diagram of S204 in Fig. 2;
Fig. 7 is the schematic diagram of S205 in Fig. 2;
Fig. 8 is the schematic diagram of S202, S203 in Fig. 2;
Fig. 9 is the schematic diagram of S206 in Fig. 2.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described:
The present invention proposes a kind of passway for transmitting electricity forest fire appealing methods of risk assessment, and Fig. 1 is the particular flow sheet of the method, and as shown in Figure 1, described method comprises:
S101: receive MODIS (Moderate Imaging Spectroradiomete) and NOAA (U.S.National Oceanic air office) satellite remote sensing date, and pre-service is carried out to remotely-sensed data.
The present invention is in specific embodiment, gather satellite remote sensing images by MODIS (Moderate Imaging Spectroradiomete) satellite and NOAA (U.S.National Oceanic air office) satellite, original image is through classification editor, quality inspection, calibration process, geo-location and obtain 1B data set after calculating sun altitude.Again 1B data set is carried out to sun altitude is corrected, limb darkening is corrected, map projection transformation, complete preprocessing of remote sensing images.
S102: carry out fiery point, barrier image element extraction based on correcting remote sensing images.
To gather based on step S101 and remote sensing images after processing carry out fire point image element extraction and barrier (as road, river, lake) image element extraction respectively.Concrete operations are as follows: carry out remote sensing image fusion based on MODIS (Moderate Imaging Spectroradiomete) 250m resolution visible images 1,2 wave band and 500m resolution near-infrared image 7 wave band, utilize 250m image in different resolution to sentence figure and extract terrestrial object information, utilize 500m image in different resolution to sentence figure and extract fiery dot information; NOAA (U.S.National Oceanic air office) satellite infrared 3,4 channel image supplementing as MODIS graphical analysis, improves fiery some monitoring time frequency whole every day.
S103: point of origin calculates.
Fire point pixel according to obtaining in step S102 obtains flame range polygon, each for polygonal edge point coordinate is weighted mean value calculation and obtains point of origin coordinate P
0.
S104: Speed of forest fire spreading calculates.
Carry out correcting according to the Fire spreading model of the just non-proposition of king and simplify, adopting following formulae discovery duration and degree of heating rate of propagation, i.e. V
f.
In formula, Kp is fire point position vegetation pattern correction factor; Ks is fire point position terrain slope correction factor; V
wfor fire point position wind speed.
Fuel type be grassy marshland, landform be level land time, wind scale be wind speed under 1 ~ 12 condition at top speed corresponding relation in table 1.
Table 1 wind speed data at top speed
The correction factor of Kp in different fuel type is as shown in table 2.
The correction factor of table 2 at top speed in different fuel type
| Fuel type | Cogongrass | Chinese pine class | Grassy marshland | Scondary forest | Coniferous forest |
| Adjusted coefficient K p | 1.3 | 1.2 | 1.0 | 0.7 | 0.4 |
The correction factor of Ks under different gradient condition is as shown in table 3.
Table 3 at top speed under different gradient condition in correction factor
| Gradient scope | -42°～-38° | -37°～-33° | -32°～-28° | -27°～-23° | -22°～-18° |
| Adjusted coefficient K s | 0.07 | 0.13 | 0.21 | 0.32 | 0.46 |
| Gradient scope | -17°～-13° | -12°～-8° | -7°～-3° | -2°～2° | 3°～7° |
| Adjusted coefficient K s | 0.63 | 0.83 | 0.90 | 1.00 | 1.20 |
| Gradient scope | 8°～12° | 13°～17° | 18°～22° | 23°～-27° | 28°～32° |
| Adjusted coefficient K s | 1.60 | 2.10 | 2.90 | 4.10 | 6.20 |
| Gradient scope | 33°～37° | 38°～42° | |||
| Adjusted coefficient K s | 10.10 | 17.50 |
S105: time predefined length combustion scope is estimated.
Fig. 2 is the particular flow sheet of step S105, and as shown in Figure 2, this step specifically comprises:
S201: the spreading range not considering to intercept under factor condition of trying to achieve first interval moment of point of origin.
Fig. 5 is the concrete operations figure of step S201, and as shown in Figure 5, step S201 specifically comprises:
With the point of origin P obtained in step 3
0for the center of circle, Δ t*V
ffor radius, wherein Δ t is time predefined length t/60, V
ffor P
0point Speed of forest fire spreading, obtains circular C
0.
S202: the correction spreading range of trying to achieve first interval moment under consideration obstruct factor condition.
Fig. 8 is the concrete operations figure of step S202, and as shown in Figure 8, step S202 specifically comprises:
C
0with the barrier subtraction calculations in atural object layer, obtain revising combustion range F
0.
S203: try to achieve the critical point set revising spreading range
Fig. 8 is the concrete operations figure of step S203, and as shown in Figure 8, step S203 specifically comprises:
F
0with isocontour intersection point for burning critical point set G
0.
S204: obtain next central flame point position.
Fig. 6 is the concrete operations figure of step S204, and as shown in Figure 8, step S204 specifically comprises:
F
0moving Δ d with the intersection point in ruling grade value direction along this wind direction is next central flame point P
1position, wherein Δ d=V
w* Δ t.
S205: repeat S201 to S204, until time predefined length.
S206: obtain the combustion range in time predefined length.
Fig. 9 is the concrete operations figure of step S206, and as shown in Figure 9, step S206 specifically comprises:
By G
0to G
60critical point set couple together and namely obtain combustion range.
S106: affect transmission tower collection initial search by fire three grades.
Fig. 3 is the particular flow sheet of step S106, and as shown in Figure 3, this step specifically comprises:
S301: obtain transmission tower distribution point diagram.
Transmission tower distribution point diagram is obtained by power grid GIS (Geographic Information System) platform or other professional electrical network space management platforms.
S302: combustion range face figure and transmission tower point diagram carry out crossing calculating.
Combustion range and transmission tower distribution plan carry out crossing calculating, if transmission tower and combustion range are interior or at upper topological relation, then judge that this transmission tower is in forest fires coverage.
S303: obtain the shaft tower collection by influence of fire.
In step S302, shaft tower collection all taken in by qualified shaft tower.
S107: forest fires cause the assessment of trip risk degree.
Fig. 4 is the particular flow sheet of step S107, and as shown in Figure 4, this step specifically comprises:
S401: try to achieve by the vegetation pattern collection in each shaft tower buffering range of influence of fire.
Transmission tower distribution point diagram is obtained by power grid GIS (Geographic Information System) platform or other professional electrical network space management platforms.
S402: ask for each vegetation pattern and concentrate the vegetation pattern that average vegetation height is the highest.
Combustion range and transmission tower distribution plan carry out crossing calculating, if transmission tower and combustion range are interior or at upper topological relation, then judge that this transmission tower is in forest fires coverage.
S403: ask for each shaft tower 2/3rds place's height and vegetation height poor.
To each shaft tower t in the shaft tower collection T obtained in step 6
kcarry out buffering to calculate, obtain shaft tower periphery vegetation pattern collection P, choose the vegetation pattern P that in P, average height is the highest
k, the value of average height is h
k, l
kfor shaft tower t
k2/3rds place's shaft tower height.
S404: the calculating of forest fire appealing risk assessment is carried out to each shaft tower.
Risk factor is assessed according to difference in height, and concrete decision threshold is as follows:
Level Four risk: 7m<h
k-l
k≤ 10m
Tertiary risk degree: 5m<h
k-l
k≤ 7m
Secondary risk: 7m<h
k-l
k≤ 10m
Primary risk degree: the shaft tower that all the other shaft towers are concentrated
S405: ask for one-level to level Four risk factor shaft tower collection.
Work as h
k-l
kduring≤5m, this shaft tower is put into level Four risk shaft tower collection T
4in, work as 5m<h
k-l
kduring≤7m, this shaft tower is put into tertiary risk degree shaft tower collection T
3in, work as 7m<h
k-l
kduring≤10m, this shaft tower is put into secondary risk shaft tower collection T
2in, primary risk degree shaft tower collection T put into by all the other shaft towers
1in, the T finally obtained
1, T
2, T
3and T
4being respectively risk is one-level, secondary, three grades, the shaft tower collection of level Four.
The invention provides a kind of passway for transmitting electricity forest fire appealing methods of risk assessment, by gathering the several data such as wind speed and direction, terrain slope, vegetation pattern, ground barrier, set up a kind of computing method comprising forest fire appealing condition and fire initiation transmission line of electricity tripping operation correlative factor, and then realize passway for transmitting electricity forest fire appealing methods of risk assessment, can effectively prevent and the phenomenon reducing electric grid large area power-off loss that national economy is caused.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, the hardware that can carry out instruction relevant by computer program has come, described program can be stored in general computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
Those skilled in the art for often kind of specifically application, use the function described in the realization of various method, but this realization can should not be understood to the scope exceeding embodiment of the present invention protection.
Apply specific embodiment in the present invention to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (2)
1. a passway for transmitting electricity forest fire appealing methods of risk assessment, is characterized in that, comprises the following steps:
S101, preprocessing of remote sensing images: receive Moderate Imaging Spectroradiomete satellite and U.S.National Oceanic air office satellite image data, carry out to remotely-sensed data that solar angle height is corrected, limb darkening is corrected and map projection transformation pre-service;
S102, carry out fiery point, barrier image element extraction based on correcting remote sensing images: carry out remote sensing image fusion based on Moderate Imaging Spectroradiomete satellite 250m resolution visible images 1,2 wave band and 500m resolution near-infrared image 7 wave band, utilize 250m image in different resolution to sentence figure and extract terrestrial object information, utilize 500m image in different resolution to sentence figure and extract fiery point, barrier image element information;
S103, point of origin calculate: the fire point pixel according to obtaining in step S102 obtains flame range polygon, each for polygonal edge point coordinate is weighted mean value calculation and obtains point of origin coordinate P
0;
S104, Speed of forest fire spreading calculate: adopt following formulae discovery duration and degree of heating rate of propagation V
f,
In formula, Kp is fire point position vegetation pattern correction factor; Ks is fire point position terrain slope correction factor; V
wfor fire point position wind speed;
S105, time predefined length combustion scope are estimated: with the point of origin P obtained in step S103
0for the center of circle, Δ t*V
ffor radius, wherein Δ t is time predefined length t/60, V
ffor P
0point Speed of forest fire spreading, obtains circular C
0, C
0with the barrier subtraction calculations in atural object layer, obtain revising combustion range F
0, F
0with isocontour intersection point for burning critical point set G
0, F
0moving Δ d with the intersection point in ruling grade value direction along this wind direction is next central flame point P
1position, wherein Δ d=V
w* Δ t; With P
1for the center of circle, Δ t*V
f' be radius, wherein Δ t is time predefined length t/60, V
f' be P
0point Speed of forest fire spreading, obtains circular C
1, C
1with the barrier subtraction calculations in atural object layer, obtain revising combustion range F
1, F
1with isocontour intersection point for burning critical point set G
1, by that analogy, until t second, by G
0to G
60critical point set couple together and namely obtain combustion range;
S106, to search for by influence of fire transmission tower collection: the combustion range that step S105 calculates and the transmission tower point diagram that distributes carries out crossing calculating, if transmission tower and combustion range are interior or at upper topological relation, then judge that this transmission tower is in forest fires coverage, obtain the shaft tower collection T by influence of fire;
S107, passway for transmitting electricity forest fire appealing evaluation of hazard grade calculate: to each shaft tower t in the shaft tower collection T obtained in step S106
kcarry out buffering to calculate, obtain shaft tower periphery vegetation pattern collection P, choose the vegetation pattern P that in P, average height is the highest
k, according to P
kin vegetation pattern obtain the average height of corresponding vegetation, value is h
k, l
kfor shaft tower t
k2/3rds place's shaft tower height; Work as h
k-l
kduring≤5m, this shaft tower is put into level Four risk shaft tower collection T
4in, work as 5m<h
k-l
kduring≤7m, this shaft tower is put into tertiary risk degree shaft tower collection T
3in, work as 7m<h
k-l
kduring≤10m, this shaft tower is put into secondary risk shaft tower collection T
2in, primary risk degree shaft tower collection T put into by all the other shaft towers
1in, the T finally obtained
1, T
2, T
3and T
4being respectively risk is one-level, secondary, three grades, the shaft tower collection of level Four.
2. a kind of passway for transmitting electricity forest fire appealing methods of risk assessment according to claim 1, is characterized in that, in described step S106, transmission tower distribution point diagram is obtained by power network GIS platform or professional electrical network space management platform.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104732103A (en) * | 2015-04-07 | 2015-06-24 | 国网河南省电力公司电力科学研究院 | Evaluation method for electric transmission line orientated forest fire approaching risk |
| CN105184668A (en) * | 2015-08-24 | 2015-12-23 | 国家电网公司 | Forest fire risk area dividing method for power transmission line based on cluster analysis |
| CN106682580A (en) * | 2016-11-21 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Forest fire predication method and system based on power transmission line forest fire image |
| CN106951987A (en) * | 2017-03-10 | 2017-07-14 | 国网湖南省电力公司 | Many fire point power grid risk matrixes increase null transformation Quick rescue method and system |
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| CN106951987B (en) * | 2017-03-10 | 2017-12-15 | 国网湖南省电力公司 | More fire point power grid risk matrixes increase null transformation Quick rescue method and system |
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| CN111751406A (en) * | 2020-07-02 | 2020-10-09 | 应急管理部沈阳消防研究所 | Quantitative identification method for fire spreading direction |
| CN111751406B (en) * | 2020-07-02 | 2023-05-30 | 应急管理部沈阳消防研究所 | Quantitative identification method for fire spreading direction |
| CN113722894A (en) * | 2021-08-16 | 2021-11-30 | 中山大学 | Model simplification-based fire spread simulation acceleration method and system |
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| CN113722894B (en) * | 2021-08-16 | 2023-12-01 | 中山大学 | Model simplification-based fire spread simulation acceleration method and system |
| CN113902981A (en) * | 2021-12-10 | 2022-01-07 | 航天宏图信息技术股份有限公司 | Forest fire spreading prediction method and device, electronic equipment and storage medium |
| CN113902981B (en) * | 2021-12-10 | 2022-03-22 | 航天宏图信息技术股份有限公司 | Forest fire spreading prediction method and device, electronic equipment and storage medium |
| CN114781859A (en) * | 2022-04-20 | 2022-07-22 | 广东省科学院广州地理研究所 | Slope mapping forest fire risk assessment method, device, medium and equipment |
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