CN106909918A - Mountain fire danger discrimination method based on satellite image along transmission line of electricity - Google Patents
Mountain fire danger discrimination method based on satellite image along transmission line of electricity Download PDFInfo
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- CN106909918A CN106909918A CN201710210970.8A CN201710210970A CN106909918A CN 106909918 A CN106909918 A CN 106909918A CN 201710210970 A CN201710210970 A CN 201710210970A CN 106909918 A CN106909918 A CN 106909918A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
Abstract
The invention discloses a kind of mountain fire danger discrimination method based on satellite image along transmission line of electricity, comprise the following steps：According to satellite image along transmission line of electricity is received, distinguish due to the weather satellite data that cloud cover, cloud layer are reflected to form, rejected；Pretreated weather satellite data is projected in GIS-Geographic Information System, the corresponding weather satellite data in each locus in GIS-Geographic Information System is obtained；Analyze the weather satellite data of each locus, obtain abnormal high temperature point coordinates, i.e., fiery point coordinates；Mark power transmission line corridor landform and vegetation distribution situation；Wherein vegetation distribution situation is that the vegetative coverage figure issued according to national forestry department is labeled；The fire behavior feature of each fire point is calculated, according to the fire behavior feature of fire point, judges whether mountain fire constitutes a threat to transmission line of electricity, i.e. the dangerous size of transmission line of electricity.The present invention can accurately recognize the dangerous fire point of mountain fire around transmission line of electricity.
Description
Technical field
The invention belongs to electrical engineering technical field, and in particular to a kind of mountain fire based on satellite image along transmission line of electricity
Dangerous discrimination method.
Background technology
In recent years, the mountain fire for rising one after another makes us startling, and the exposed transmission line of electricity in hilltop field triggers because of mountain fire
Tripping operation power outage it is more and more, have a strong impact on the safe operation of power network.The tripping operation that forest fire along power transmission line triggers is stopping
Sizable ratio is account in electrification.Cause the great attention of domestic each province and city power department.Due to humane, climatic characteristic
And the unpredictability of mountain fire behavior, mountain fire trigger tripping operation it is very harmful to electric power netting safe running, easily lead to large area and stop
Electricity.Therefore the timely discovery of the condition of a fire is thing most urgent at the moment with reply in time.Near current power department power transmission line corridor
Meteorological satellite monitoring is carried out for mountain fire, has been analyzed by the bright temperature value data to meteorological satellite, obtained unusual high temperature, tied
Latitude and longitude coordinates are closed to judge the mountain fire fire point near power transmission line corridor.But current fire point determination methods also compare
Treatment that is rough, not become more meticulous to geography, it is impossible to fast and effectively the spreading trend to fire behavior judge,
To find the condition of a fire, monitoring and the change of prediction fire behavior in time, administered for the mountain fire along transmission line of electricity and policy-making building is provided
View, effectively reduces trip accident, it is ensured that electric power netting safe running.
The content of the invention
The technical problem to be solved in the present invention is, coarse for the identification of existing power transmission line corridor mountain fire, and it is slow that fire point sentences knowledge
A kind of slow backwards situation, there is provided discrimination method based on the mountain fire danger of satellite image along transmission line of electricity, can be according to defending
Sing data real-time monitoring forest fire along power transmission line, with reference to the data such as the landform around transmission line of electricity, weather environment, vegetation, essence
Really recognize the dangerous fire point of mountain fire around transmission line of electricity.
Technical scheme provided by the present invention is：
One kind is comprised the following steps based on satellite image mountain fire danger discrimination method along transmission line of electricity：
1) data prediction；
According to satellite image along transmission line of electricity is received, distinguish that the meteorology reflected to form due to cloud cover, cloud layer is defended
Sing data, is rejected；
2) pretreated weather satellite data is projected in GIS-Geographic Information System (GIS), obtains GIS-Geographic Information System
Go up the corresponding weather satellite data in each locus；
By data above pre-process the data that each remote sensing instrument of meteorological satellite is detected are carried out quality inspection, positioning,
Calibration is processed, and, with certain format, generation is available for application system science to calculate for the positioning calibration that will finally process out and bright temperature value data
The data that method is used.
3) analyze the weather satellite data of each locus, obtain abnormal high temperature point coordinates, i.e., fiery point coordinates；
4) power transmission line corridor landform and vegetation distribution situation, are marked；Wherein power transmission line corridor refers to along high voltage overhead
Power line roadside wire, 3 kilometers of circuit lower section belt-like zone is stretched to both sides；Vegetation distribution situation is according to national forestry portion
The vegetative coverage figure of door issue is labeled；
5) the fire behavior feature of each fire point, including live wire intensity I, flame height H and calorific intensity I, are calculateds；
6), according to step 5) be calculated fire point fire behavior feature, judge mountain fire whether to transmission line of electricity composition prestige
The side of body, the i.e. dangerous size of transmission line of electricity.
Further, the step 5) in, the computing formula of each fire behavior feature is as follows：
A () calculates live wire intensity I：
I=mcvu
I is live wire intensity in formula；M is the vegetation weight in unit area, and c is the average heat production of flammable vegetation, m and c
Value according to vegetation pattern determine；V is live wire pace, roughly equal to wind speed；U is power transmission line corridor dynamic parameter, its
Value determines according to power transmission line corridor landform；
B () calculates flame height H：
H=α (I/250)0.5
α is fuel type constant in formula, and the value of grassland or continuous type vegetation is 1, is not grassland or continuous shape vegetation,
Value is 0；
C () calculates calorific intensity Is
Is=mc/t
Wherein, t is vegetation firing duration, and its value determines according to vegetation pattern.
Further, the step 6) in, live wire intensity I is bigger, then dangerous higher；Live wire intensity I is close, then flame
Height H is bigger, and danger is higher；When live wire intensity I and flame height H close, calorific intensity IsBigger danger is higher.
Further, the step 3) in, by comparing the bright temperature value data in weather satellite data, obtain abnormal high temperature
Point coordinates.
Further, the step 3) in obtain fiery point coordinates after, calculate the distance between fiery point coordinates and transmission line of electricity,
Level 1Alarming is produced if within 500 meters of the distance.
Further, the step 5) in, if vegetation pattern is shrub, m values are 0.5；If vegetation pattern is trees,
Then m values are 0.8；If vegetation pattern is weeds, m values are 0.3.
Further, the step 5) in, if vegetation pattern is shrub, c values are 1；If vegetation pattern is trees,
C values are 0.8；If vegetation pattern is weeds, c values are 0.4.
Further, the step 5) in, if power transmission line corridor landform is mountain and hill, u values are 1；If transmission of electricity
Line corridor landform is Plain, then u values are 2；If power transmission line corridor landform is highway, u values are 0.2；If power transmission line
Road corridor landform is river, puddle and cities and towns, then u values are 0.
The step 5) in, if vegetation pattern is grassland or continuous type vegetation, α values are 1, and otherwise, α values are 0.
Further, further, the step 5) in, if vegetation pattern is shrub, t values are 1；If vegetation pattern
It is trees, then t values are 1.5；If vegetation pattern is weeds, t values are 0.6.
Beneficial effect：
1), the method is practical, energy real-time monitoring displaying forest fire along power transmission line situation, to actual influence power transmission line
The mountain fire on road is judged；
2) mountain fire spreading trend, can be analyzed, analyses whether to impact transmission line of electricity；
3), while real time information can be provided for the operation maintenance personnel of electric power line pole tower, controlled to formulate efficient mountain fire
Reason scheme provides policy-making suggestion.
Specific embodiment
The present invention is described in more detail below in conjunction with specific embodiment.
The invention discloses one kind based on satellite image mountain fire danger discrimination method along transmission line of electricity, including following step
Suddenly：
1) data prediction；
According to satellite image along transmission line of electricity is received, distinguish that the meteorology reflected to form due to cloud cover, cloud layer is defended
Sing data, is rejected；
2) pretreated weather satellite data is projected in GIS-Geographic Information System (GIS), obtains GIS-Geographic Information System
Go up the corresponding weather satellite data in each locus；
3) weather satellite data (bright temperature value) of each locus is analyzed, abnormal high temperature point coordinates is obtained, be i.e. fire point is sat
Mark；
4) power transmission line corridor landform and vegetation distribution situation, are marked；Wherein power transmission line corridor refers to along high voltage overhead
Power line roadside wire, 3 kilometers of circuit lower section belt-like zone is stretched to both sides；Vegetation distribution situation is according to national forestry portion
The vegetative coverage figure of door issue is labeled；
5) the fire behavior feature of each fire point, is calculated：
A () calculates live wire intensity I：
I=mcvu
I is live wire intensity in formula；If m is that the vegetation weight vegetation pattern in unit area is shrub, m values are 0.5；
If vegetation pattern is trees, m values are 0.8；If vegetation pattern is weeds, m values are 0.3；C is the average of flammable vegetation
Caloric value, if vegetation pattern is shrub, c values are 1；If vegetation pattern is trees, c values are 0.8；If vegetation pattern is
Weeds, then c values are 0.4；V is live wire pace, roughly equal to wind speed；U is power transmission line corridor dynamic parameter, if power transmission line
Road corridor landform is mountain and hill, then u values are 1；If power transmission line corridor landform is Plain, u values are 2；If power transmission line
Road corridor landform is highway, then u values are 0.2；If power transmission line corridor landform is river, puddle and cities and towns, u values are 0；
B () calculates flame height H：
H=α (I/250)0.5
α is fuel type constant in formula, and the value of grassland or continuous type vegetation is 1, is not grassland or continuous shape vegetation,
Value is 0；
C () calculates calorific intensity Is
Is=mc/t
Wherein, t is vegetation firing duration, and its value determines according to vegetation pattern.
6), according to step 5) be calculated fire point fire behavior feature, judge mountain fire whether to transmission line of electricity composition prestige
The side of body, the i.e. dangerous size of transmission line of electricity.Live wire intensity I is bigger, then dangerous higher；Live wire intensity I is close, then flame height
H is bigger, and danger is higher；When live wire intensity I and flame height H close, calorific intensity IsBigger danger is higher.
The step 3) in obtain fiery point coordinates after, the distance between fiery point coordinates and transmission line of electricity are calculated, if the distance
Level 1Alarming is then produced within 500 meters.
The present invention can according to satellite data real-time monitoring forest fire along power transmission line, with reference to the landform around transmission line of electricity,
The data such as weather environment, vegetation, the dangerous fire point of mountain fire around accurate identification transmission line of electricity.
Claims (10)
1. it is a kind of based on along transmission line of electricity satellite image mountain fire danger discrimination method, it is characterised in that including following step
Suddenly：
1) data prediction；
According to satellite image along transmission line of electricity is received, distinguish due to the meteorological satellite number that cloud cover, cloud layer are reflected to form
According to being rejected；
2) pretreated weather satellite data is projected in GIS-Geographic Information System, obtains each space bit in GIS-Geographic Information System
Put corresponding weather satellite data；
3) analyze the weather satellite data of each locus, obtain abnormal high temperature point coordinates, i.e., fiery point coordinates；
4) power transmission line corridor landform and vegetation distribution situation, are marked；Wherein vegetation distribution situation is according to according to national forestry
The vegetative coverage figure of department's issue is labeled；
5) the fire behavior feature of each fire point, including live wire intensity I, flame height H and calorific intensity I, are calculateds；
6), according to step 5) be calculated fire point fire behavior feature, judge whether mountain fire constitutes a threat to transmission line of electricity, i.e.,
The dangerous size of transmission line of electricity.
2. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, the computing formula of each fire behavior feature is as follows：
A () calculates live wire intensity I：
I=mcvu
I is live wire intensity in formula；M is the vegetation weight in unit area, and c is the average heat production of flammable vegetation, and m's and c takes
Value determines according to vegetation pattern；V is live wire pace, roughly equal to wind speed；U is power transmission line corridor dynamic parameter, its value
Determined according to power transmission line corridor landform；
B () calculates flame height H：
H=α (I/250)0.5
α is fuel type constant in formula, and its value determines according to vegetation pattern；The value of grassland or continuous type vegetation is 1, no
It is grassland or continuous shape vegetation, value is 0；
C () calculates calorific intensity Is
Is=mc/t
Wherein, t is vegetation firing duration, and its value determines according to vegetation pattern.
3. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
Be that live wire intensity I is bigger, then it is dangerous higher；Live wire intensity I is close, then the bigger danger of flame height H is higher；Live wire
When intensity I and flame height H close, calorific intensity IsBigger danger is higher.
4. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 3) in, by comparing the bright temperature value data in weather satellite data, obtain abnormal high temperature point coordinates.
5. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
Be, the step 3) in obtain fiery point coordinates after, the distance between fiery point coordinates and transmission line of electricity are calculated, if the distance 500
Level 1Alarming is then produced within rice.
6. it is according to claim 2 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, if vegetation pattern is shrub, m values are 0.5；If vegetation pattern is trees, m values are
0.8；If vegetation pattern is weeds, m values are 0.3.
7. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, if vegetation pattern is shrub, c values are 1；If vegetation pattern is trees, c values are 0.8；
If vegetation pattern is weeds, c values are 0.4.
8. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, if power transmission line corridor landform is mountain and hill, u values are 1；If power transmission line corridor landform
It is Plain, then u values are 2；If power transmission line corridor landform is highway, u values are 0.2；If power transmission line corridor landform is
River, puddle and cities and towns, then u values are 0.
9. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, if vegetation pattern is grassland or continuous type vegetation, α values are 1, and otherwise, α values are 0.
10. it is according to claim 1 based on along transmission line of electricity satellite image mountain fire danger discrimination method, its feature
It is, the step 5) in, if vegetation pattern is shrub, t values are 1；If vegetation pattern is trees, t values are 1.5；
If vegetation pattern is weeds, t values are 0.6.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108229738A (en) * | 2017-12-29 | 2018-06-29 | 国网湖南省电力有限公司 | Transmission line of electricity satellite mountain fire monitors and method, system and the storage medium of secondary harm fire point statistics |
| CN111311866A (en) * | 2020-03-18 | 2020-06-19 | 云南电网有限责任公司带电作业分公司 | Satellite data fusion mountain fire monitoring and fire deduction-based early warning method and system |
| CN113592022A (en) * | 2021-08-11 | 2021-11-02 | 中国科学院空天信息创新研究院 | Forest fire dangerous terrain identification method considering vegetation types |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100885246B1 (en) * | 2008-02-13 | 2009-02-25 | (주) 지오씨엔아이 | Forest arrangement method to use database establish method and this for forest arrangement that use gis |
| CN102708646A (en) * | 2012-06-01 | 2012-10-03 | 湖南省电力公司科学研究院 | Satellite-monitoring-based fire alarming method for mountain power transmission line |
| CN103440599A (en) * | 2013-09-16 | 2013-12-11 | 国家电网公司 | GIS (Geographic Information System) platform-based method for drawing distribution map of mountain fire points of power grid electric transmission line |
| CN103927840A (en) * | 2014-05-09 | 2014-07-16 | 国家电网公司 | Electric transmission line wildfire warning method |
| CN103961825A (en) * | 2014-05-08 | 2014-08-06 | 国家电网公司 | Intelligent power transmission line mountain fire emergency disposal method based on fire behavior feature analysis |
| CN103971177A (en) * | 2014-05-08 | 2014-08-06 | 国家电网公司 | Prediction method for power transmission line mountain fire caused by multiple factors |
| CN104376510A (en) * | 2014-12-05 | 2015-02-25 | 国家电网公司 | Method of predicting and accessing level of wildfire-caused trip risk in power transmission lines |
-
2017
- 2017-03-31 CN CN201710210970.8A patent/CN106909918B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100885246B1 (en) * | 2008-02-13 | 2009-02-25 | (주) 지오씨엔아이 | Forest arrangement method to use database establish method and this for forest arrangement that use gis |
| CN102708646A (en) * | 2012-06-01 | 2012-10-03 | 湖南省电力公司科学研究院 | Satellite-monitoring-based fire alarming method for mountain power transmission line |
| CN103440599A (en) * | 2013-09-16 | 2013-12-11 | 国家电网公司 | GIS (Geographic Information System) platform-based method for drawing distribution map of mountain fire points of power grid electric transmission line |
| CN103961825A (en) * | 2014-05-08 | 2014-08-06 | 国家电网公司 | Intelligent power transmission line mountain fire emergency disposal method based on fire behavior feature analysis |
| CN103971177A (en) * | 2014-05-08 | 2014-08-06 | 国家电网公司 | Prediction method for power transmission line mountain fire caused by multiple factors |
| CN103927840A (en) * | 2014-05-09 | 2014-07-16 | 国家电网公司 | Electric transmission line wildfire warning method |
| CN104376510A (en) * | 2014-12-05 | 2015-02-25 | 国家电网公司 | Method of predicting and accessing level of wildfire-caused trip risk in power transmission lines |
Non-Patent Citations (3)
| Title |
|---|
| 王岳: "国外林火强度计算方法", 《森林防火》 * |
| 王明玉 等: "北京西山可燃物特点及潜在火行为", 《林业科学》 * |
| 陆佳政 等: "输电线路山火监测预警系统的研究及应用", 《电力系统保护与控制》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108229738A (en) * | 2017-12-29 | 2018-06-29 | 国网湖南省电力有限公司 | Transmission line of electricity satellite mountain fire monitors and method, system and the storage medium of secondary harm fire point statistics |
| CN111311866A (en) * | 2020-03-18 | 2020-06-19 | 云南电网有限责任公司带电作业分公司 | Satellite data fusion mountain fire monitoring and fire deduction-based early warning method and system |
| CN113592022A (en) * | 2021-08-11 | 2021-11-02 | 中国科学院空天信息创新研究院 | Forest fire dangerous terrain identification method considering vegetation types |
| CN113592022B (en) * | 2021-08-11 | 2022-07-05 | 中国科学院空天信息创新研究院 | Forest fire dangerous terrain identification method considering vegetation types |
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