CN104732103A - Evaluation method for electric transmission line orientated forest fire approaching risk - Google Patents

Abstract

The invention discloses an evaluation method for an electric transmission line orientated forest fire approaching risk. The method includes the following steps that A, forest fire happening information is obtained from a forest fire monitoring system based on satellites; B, electric transmission lines affected by ignition points are determined according to the happening position of the ignition points and longitude and latitude coordinates of the electric transmission lines; C, real-time meteorological data are obtained from an automatic meteorological monitoring station; D, according to the forest fire happening information, the real-time meteorological data and the electric transmission lines affected by the ignition points, risk indexes of the forest fire on all the electric transmission lines affected by the ignition points are sequentially calculated; E, a forest fire early warning risk grade of the forest fire event is determined according to the forest fire approaching risk indexes, and forest fire approaching risk early warning information is issued according to a set issuing standard; F, whether risk evaluation calculation is completed or not is judged. The evaluation method can quickly evaluate the risks of the forest fire on nearby lines after the forest fire happens, and the early warning information can be issued according to an evaluation result.

Description

A kind of mountain fire of transmission line-oriented closes on methods of risk assessment

Technical field

The present invention relates to mountain fire risk assessment field, the mountain fire particularly relating to a kind of transmission line-oriented closes on methods of risk assessment.

Background technology

Along with the development of ICT (information and communication technology) and data acquisition technology, the mountain fire event of generation can be monitored at present in time by polar orbiting meteorological satellite remote sensing technology.The moderate resolution imaging spectrometer of polar orbiting meteorological satellite by loading, obtains mountain fire satellite monitoring information, then completes the process to satellite monitoring information through a series of processes such as locating, calibrate, correct, realize the monitoring to mountain fire.Along with applying of State Grid Corporation of China's generalized information system, current State Grid Corporation of China generalized information system has covered all 110kV and above transmission line of electricity thereof, clearly can be got the information such as coordinate and shaft tower position thereof of every bar transmission line of electricity by this system.In meteorological, current National Meteorological Bureau has built up the meteorological automatic monitor station network covering the whole nation, substantially to cover at county level, namely each county has the Automatic meteorology monitoring station of a function complete and accurate at least, and the data acquisition of (once per hour) can be carried out quasi real time in each Automatic meteorology monitoring station, the meteorologic parameter collected comprises wind speed, wind direction, temperature, humidity etc.

Current meteorological department is also in issue various places mountain fire early warning information, the information such as forest fire danger class distribution plan, but because these information are all broad-brush, coverage is larger, time precision is not enough, and for all industries of the whole society, the demand of mountain fire risk is become more meticulous assessment and the early warning of power industry transmission line of electricity operation maintenance personnel can not be met, power industry transmission line of electricity operation maintenance personnel need badly and a kind ofly can to assess circuit risk and the method for early warning by immediate analysis mountain fire after mountain fire occurs, operation maintenance personnel can be instructed to have selection to when mountain fire occurs intensive, safeguard measure is taked to transmission line of electricity with having emphasis, thus mountain fire is reduced to minimum on the destruction of transmission line of electricity and impact.

Summary of the invention

The mountain fire that the object of this invention is to provide a kind of transmission line-oriented closes on methods of risk assessment, the mountain fire monitoring of applied satellite, the geography information coordinate setting information of automatic weather station Real-Time Monitoring weather information and transmission line of electricity can be gathered, quick the risk of mountain fire to nearby lines to be assessed after mountain fire occurs, and issue early warning information according to assessment result.

The present invention adopts following technical proposals:

The mountain fire of transmission line-oriented closes on a methods of risk assessment, comprises the following steps:

A: utilize data-interface to obtain mountain fire generation information from satellite-based forest fire monitoring system, mountain fire generation information comprises kindling point and the geographic position of position, latitude and longitude coordinates and ground surface type occurs; Then step B is entered;

B: kindling point is occurred electric power transmission line latitude and longitude coordinates in the latitude and longitude coordinates of position and generalized information system and carries out Graphic Pattern Matching calculating, determine the electric power transmission line affected by kindling point; Then step C is entered;

C: the geographic position that position occurs according to kindling point, utilize data-interface to obtain the real time meteorological data near kindling point generation position from Automatic meteorology monitoring station, real time meteorological data comprises wind speed and direction; Then step D is entered;

D: according to mountain fire generation information, real time meteorological data and the electric power transmission line that affects by kindling point, calculates the risk index of mountain fire on all electric power transmission lines affected by kindling point successively; Then step e is entered;

E: the mountain fire of the mountain fire calculated in step D on the electric power transmission line affected by kindling point is closed on risk index and stores, close on according to mountain fire the mountain fire early warning risk class that risk index judges this mountain fire event, and close on Risk-warning information according to the issue standard issue mountain fire of setting; Then step F is entered;

F: judged whether that the risk assessment of all electric power transmission lines affected by kindling point calculates; If YES, step G is entered; If NO, then step D is entered;

G: terminate this mountain fire and close on risk assessment.

Described step B comprises the following steps:

B1: utilize data-interface to obtain the administrative all electric power transmission line information of enterprise from generalized information system, comprise the latitude and longitude coordinates information of electric power transmission line; Then step B2 is entered;

B2: all electric power transmission line information administrative according to the enterprise obtained in step B1, by judging that the distance that position occurs for electric power transmission line and kindling point determines one or more electric power transmission line affected by kindling point; Then all part of path information utilizing data-interface to obtain one or more electric power transmission line affected by kindling point from generalized information system to comprise, the latitude and longitude coordinates in part of path packets of information vinculum section; Then step B3 is entered;

B3: select an electric power transmission line affected by kindling point the electric power transmission line affected by kindling point from one or more, then enters step B4 and carries out judgement calculating;

B4: the latitude and longitude coordinates that the latitude and longitude coordinates of all part of paths of the selected electric power transmission line affected by kindling point with kindling point, position occurs one by one calculated, draws selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position respectively; Then step B5 is entered;

B5: judged whether selected all part of paths of electric power transmission line of affecting by kindling point and the minimum distance calculation of ignition point position, if NO, then returned step B4; If YES, then step B6 is entered;

B6: judge to draw bee-line minimum in selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position, and this minimum bee-line and setpoint distance value are compared, if be less than or equal to setpoint distance value, then enter step B7; If be greater than setpoint distance value, then enter step B8;

B7: stored with the bee-line information of the nearest part of path of ignition point position and the electric power transmission line affected by kindling point and kindling point in the electric power transmission line affected selected by kindling point, the electric power transmission line that affects by kindling point; Then step B8 is entered;

B8: judged whether that the judgement of all electric power transmission lines affected by kindling point calculates, if so, then terminating this mountain fire affects circuit and judges to calculate, and enters step C; If NO, then step B3 is returned.

Described step D comprises the following steps:

D1: according to the bee-line of the electric power transmission line affected by kindling point obtained in step B7 and kindling point, calculate mountain fire risk distance subindex f ₁d (), then enters step D2;

$f_1\left(d\right)=\left\{\begin{array}{cc}d>800,& f_1\left(d\right)=0.1\\ 500\&le;d\&le;800,& f_1\left(d\right)=0.2\\ 300\&le;d<500,& f_1\left(d\right)=0.4\\ 100\&le;d<300,& f_1\left(d\right)=0.75\\ d<100,& f_1\left(d\right)=1\end{array}\right\};$

Wherein, d is the bee-line between electric power transmission line and kindling point affected by kindling point;

D2: the ground surface type that position occurs according to kindling point, calculates mountain fire risk ground surface type subindex f ₃g (), then enters step D3;

Wherein, g represents that the topographical features of position occurs kindling point;

D3: the wind direction data near position occur according to kindling point, the latitude and longitude coordinates with the nearest part of path of ignition point position in the latitude and longitude coordinates of position, the electric power transmission line affected by kindling point and the electric power transmission line that affects by kindling point is there is in conjunction with kindling point, judge that kindling point wind direction near position and kindling point occurs and position occurs whether is positioned at this electric power transmission line the same side affected by kindling point, then enter step D4 if YES, then enter step D5 if NO;

D4: judge mountain fire risk wind speed subindex f ₂v () is 0.1; Then step D6 is entered;

D5: calculate the wind speed V near kindling point generation position _wcomponent V in the electric power transmission line vertical direction affected by kindling point, then calculates mountain fire risk wind speed subindex f according to the component calculated ₂(V), then step D6 is entered;

V=V _w× sin (φ), V _wfor the wind speed near position occurs kindling point, φ is the absolute value of the trend of electric power transmission line and the angle of wind direction affected by kindling point;

$f_2\left(V\right)=\left\{\begin{array}{cc}V>9,& f_2\left(V\right)=0.5\\ 6\&le;V\&le;9& f_2\left(V\right)=0.7\\ 2\&le;V<6& f_2\left(V\right)=1\\ V<2& f_2\left(V\right)=0.6\end{array}\right\};$

D6: be multiplied with mountain fire risk wind speed subindex in mountain fire risk distance subindex, mountain fire risk ground surface type subindex, the mountain fire calculating this mountain fire event closes on risk index F (d, V, g),

F(d,V,g)＝f ₁(d)×f ₂(V)×f ₃(g)。

In described step e, mountain fire early warning risk class W (p) is

$W\left(p\right)=\left\{\begin{array}{cc}p>0.75,& W\left(p\right)=4\\ 0.5\&le;p\&le;0.75& W\left(p\right)=3\\ 0.25\&le;p<0.5& W\left(p\right)=2\\ p<0.25& W\left(p\right)=1\end{array}\right\};$ Wherein p is that mountain fire closes on risk index F (d, V, g).

The present invention passes through polar orbiting meteorological satellite remote sensing technology mountain fire monitoring information, the integrated application of the conventional weather monitoring information of meteorological automatic monitor station and power grid GIS information, by to polar orbiting meteorological satellite remote sensing monitoring to mountain fire generation information analyze, Power Transmission Line GIS coordinate information in power grid GIS system is utilized graphically to calculate, the transmission line of electricity of analysis and prediction mountain fire impact, then in conjunction with the meteorologic parameter that the meteorological automatic monitor station near mountain fire kindling point monitors, mountain fire risk distance subindex is obtained through COMPREHENSIVE CALCULATING analysis and risk assessment, mountain fire risk ground surface type subindex and mountain fire risk wind speed subindex, the risk assessment exponential sum risk class of mountain fire is obtained eventually through COMPREHENSIVE CALCULATING, and by message transmission interface, early warning information is issued to user according to mountain fire risk class.The mountain fire that the invention provides a set of transmission line-oriented closes on the thinking and countermeasure of risk assessment, and system solves the problem that mountain fire is difficult to transmission line of electricity venture influence quantize and assess.The present invention can quickly move through calculating to multiple monitoring information and Power Transmission Line GIS information and analysis in time, can be quick by the calculating of mountain fire risk assessment computing method model, in time, know the risk assessment of mountain fire to transmission line of electricity exactly, for electric power enterprise to transmission line of electricity go up a hill fiery risk factors rapid reaction and accurately judge to provide necessary technical method, by application of the present invention, electric power enterprise transmission line of electricity O&M department can give top priority to what is the most important at mountain fire multiple season, hard objectives, concentrate strength on processing operation and security risk that mountain fire brings to transmission line of electricity, the transmission line of electricity security of operation risk brought by mountain fire and power loss are down to minimum, ensure electric power supply safety, thus it is stable with resident living harmony to maintain social undertakings production.

Accompanying drawing explanation

Fig. 1 is schematic flow sheet of the present invention.

Embodiment

Below in conjunction with drawings and Examples, the present invention is done with detailed description:

As shown in Figure 1, the mountain fire of transmission line-oriented of the present invention closes on methods of risk assessment, comprises the following steps:

A: utilize data-interface to obtain mountain fire generation information from satellite-based forest fire monitoring system, mountain fire generation information comprises kindling point and the geographic position of position, latitude and longitude coordinates and ground surface type occurs; Then step B is entered;

B: kindling point is occurred electric power transmission line latitude and longitude coordinates in the latitude and longitude coordinates of position and generalized information system and carries out Graphic Pattern Matching calculating, determine the electric power transmission line affected by kindling point; Then step C is entered;

Described step B is further comprising the steps of:

B1: utilize data-interface to obtain the administrative all electric power transmission line information of enterprise from generalized information system, comprise the latitude and longitude coordinates information of electric power transmission line; Then step B2 is entered;

B2: all electric power transmission line information administrative according to the enterprise obtained in step B1, by judging that the distance that position occurs for electric power transmission line and kindling point determines one or more electric power transmission line affected by kindling point; Then all part of path information utilizing data-interface to obtain one or more electric power transmission line affected by kindling point from generalized information system to comprise, the latitude and longitude coordinates in part of path packets of information vinculum section; Then step B3 is entered;

B3: select an electric power transmission line affected by kindling point the electric power transmission line affected by kindling point from one or more, then enters step B4 and carries out judgement calculating;

B4: the latitude and longitude coordinates that the latitude and longitude coordinates of all part of paths of the selected electric power transmission line affected by kindling point with kindling point, position occurs one by one calculated, draws selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position respectively; Then step B5 is entered;

B5: judged whether selected all part of paths of electric power transmission line of affecting by kindling point and the minimum distance calculation of ignition point position, if NO, then returned step B4; If YES, then step B6 is entered;

B6: judge to draw bee-line minimum in selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position, and this minimum bee-line and setpoint distance value are compared, if be less than or equal to setpoint distance value, then enter step B7; If be greater than setpoint distance value, then enter step B8;

B7: stored with the bee-line information of the nearest part of path of ignition point position and the electric power transmission line affected by kindling point and kindling point in the electric power transmission line affected selected by kindling point, the electric power transmission line that affects by kindling point; Then step B8 is entered;

B8: judged whether that the judgement of all electric power transmission lines affected by kindling point calculates, if so, then terminating this mountain fire affects circuit and judges to calculate, and enters step C; If NO, then step B3 is returned.

C: the geographic position that position occurs according to kindling point, utilize data-interface to obtain the real time meteorological data near kindling point generation position from Automatic meteorology monitoring station, real time meteorological data comprises wind speed and direction; Then step D is entered;

D: according to mountain fire generation information, real time meteorological data and the electric power transmission line that affects by kindling point, calculates the risk index of mountain fire on all electric power transmission lines affected by kindling point successively; Then step e is entered;

Described step D is further comprising the steps of:

D1: according to the bee-line of the electric power transmission line affected by kindling point obtained in step B7 and kindling point, calculate mountain fire risk distance subindex f ₁d (), then enters step D2;

$f_1\left(d\right)=\left\{\begin{array}{cc}d>800,& f_1\left(d\right)=0.1\\ 500\&le;d\&le;800,& f_1\left(d\right)=0.2\\ 300\&le;d<500,& f_1\left(d\right)=0.4\\ 100\&le;d<300,& f_1\left(d\right)=0.75\\ d<100,& f_1\left(d\right)=1\end{array}\right\},$ Wherein, d is the bee-line between electric power transmission line and kindling point affected by kindling point;

D2: the ground surface type that position occurs according to kindling point, calculates mountain fire risk ground surface type subindex f ₃g (), then enters step D3;

Wherein, g represents that the topographical features of position occurs kindling point;

D3: the wind direction data near position occur according to kindling point, the latitude and longitude coordinates with the nearest part of path of ignition point position in the latitude and longitude coordinates of position, the electric power transmission line affected by kindling point and the electric power transmission line that affects by kindling point is there is in conjunction with kindling point, judge that kindling point wind direction near position and kindling point occurs and position occurs whether is positioned at this electric power transmission line the same side affected by kindling point, then enter step D4 if YES, then enter step D5 if NO;

D4: judge mountain fire risk wind speed subindex f ₂v () is 0.1; Then step D6 is entered;

D5: calculate the wind speed V near kindling point generation position _wcomponent V in the electric power transmission line vertical direction affected by kindling point, then calculates mountain fire risk wind speed subindex f according to the component calculated ₂(V), then step D6 is entered;

V=V _w× sin (φ), V _wfor the wind speed near position occurs kindling point, φ is the absolute value of the trend of electric power transmission line and the angle of wind direction affected by kindling point;

$f_2\left(V\right)=\left\{\begin{array}{cc}V>9,& f_2\left(V\right)=0.5\\ 6\&le;V\&le;9& f_2\left(V\right)=0.7\\ 2\&le;V<6& f_2\left(V\right)=1\\ V<2& f_2\left(V\right)=0.6\end{array}\right\};$

D6: be multiplied with mountain fire risk wind speed subindex in mountain fire risk distance subindex, mountain fire risk ground surface type subindex, the mountain fire calculating this mountain fire event closes on risk index F (d, V, g),

F(d,V,g)＝f ₁(d)×f ₂(V)×f ₃(g)；

E: the mountain fire of the mountain fire calculated in step D on the electric power transmission line affected by kindling point is closed on risk index F (d, V, g) store, and close on according to mountain fire mountain fire early warning risk class W (p) that risk index F (d, V, g) judges this mountain fire event, wherein p is that mountain fire closes on risk index F (d, V, g), the issue standard according to setting is issued mountain fire and is closed on Risk-warning information; Then step F is entered;

Mountain fire early warning risk class W (p):

$W\left(p\right)=\left\{\begin{array}{cc}p>0.75,& W\left(p\right)=4\\ 0.5\&le;p\&le;0.75& W\left(p\right)=3\\ 0.25\&le;p<0.5& W\left(p\right)=2\\ p<0.25& W\left(p\right)=1\end{array}\right\};$

F: judged whether that the risk assessment of all electric power transmission lines affected by kindling point calculates; If YES, step G is entered; If NO, then step D is entered;

G: terminate this mountain fire and close on risk assessment.

Claims (3)

1. the mountain fire of transmission line-oriented closes on a methods of risk assessment, it is characterized in that, comprises the following steps:

A: utilize data-interface to obtain mountain fire generation information from satellite-based forest fire monitoring system, mountain fire generation information comprises kindling point and the geographic position of position, latitude and longitude coordinates and ground surface type occurs; Then step B is entered;

B: kindling point is occurred electric power transmission line latitude and longitude coordinates in the latitude and longitude coordinates of position and generalized information system and carries out Graphic Pattern Matching calculating, determine the electric power transmission line affected by kindling point; Then step C is entered;

C: the geographic position that position occurs according to kindling point, utilize data-interface to obtain the real time meteorological data near kindling point generation position from Automatic meteorology monitoring station, real time meteorological data comprises wind speed and direction; Then step D is entered;

D: according to mountain fire generation information, real time meteorological data and the electric power transmission line that affects by kindling point, calculates the risk index of mountain fire on all electric power transmission lines affected by kindling point successively; Then step e is entered;

E: the mountain fire of the mountain fire calculated in step D on the electric power transmission line affected by kindling point is closed on risk index and stores, close on according to mountain fire the mountain fire early warning risk class that risk index judges this mountain fire event, and close on Risk-warning information according to the issue standard issue mountain fire of setting; Then step F is entered;

F: judged whether that the risk assessment of all electric power transmission lines affected by kindling point calculates; If YES, step G is entered; If NO, then step D is entered;

G: terminate this mountain fire and close on risk assessment.

2. the mountain fire of transmission line-oriented according to claim 1 closes on methods of risk assessment, it is characterized in that, described step B comprises the following steps:

B1: utilize data-interface to obtain the administrative all electric power transmission line information of enterprise from generalized information system, comprise the latitude and longitude coordinates information of electric power transmission line; Then step B2 is entered;

B2: all electric power transmission line information administrative according to the enterprise obtained in step B1, by judging that the distance that position occurs for electric power transmission line and kindling point determines one or more electric power transmission line affected by kindling point; Then all part of path information utilizing data-interface to obtain one or more electric power transmission line affected by kindling point from generalized information system to comprise, the latitude and longitude coordinates in part of path packets of information vinculum section; Then step B3 is entered;

B3: select an electric power transmission line affected by kindling point the electric power transmission line affected by kindling point from one or more, then enters step B4 and carries out judgement calculating;

B4: the latitude and longitude coordinates that the latitude and longitude coordinates of all part of paths of the selected electric power transmission line affected by kindling point with kindling point, position occurs one by one calculated, draws selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position respectively; Then step B5 is entered;

B5: judged whether selected all part of paths of electric power transmission line of affecting by kindling point and the minimum distance calculation of ignition point position, if NO, then returned step B4; If YES, then step B6 is entered;

B6: judge to draw bee-line minimum in selected each part of path of electric power transmission line of affecting by kindling point and the bee-line of ignition point position, and this minimum bee-line and setpoint distance value are compared, if be less than or equal to setpoint distance value, then enter step B7; If be greater than setpoint distance value, then enter step B8;

B7: stored with the bee-line information of the nearest part of path of ignition point position and the electric power transmission line affected by kindling point and kindling point in the electric power transmission line affected selected by kindling point, the electric power transmission line that affects by kindling point; Then step B8 is entered;

B8: judged whether that the judgement of all electric power transmission lines affected by kindling point calculates, if so, then terminating this mountain fire affects circuit and judges to calculate, and enters step C; If NO, then step B3 is returned.

3. the mountain fire of transmission line-oriented according to claim 2 closes on methods of risk assessment, it is characterized in that, described step D comprises the following steps:

D1: according to the bee-line of the electric power transmission line affected by kindling point obtained in step B7 and kindling point, calculate mountain fire risk distance subindex f ₁d (), then enters step D2;

$f_1\left(d\right)=\left\{\begin{array}{cc}d>800,& f_1\left(d\right)=0.1\\ 500\&le;d\&le;800,& f_1\left(d\right)=0.2\\ 300\&le;d<500,& f_1\left(d\right)=0.4\\ 100\&le;d<300,& f_1\left(d\right)=0.75\\ d<100,& f_1\left(d\right)=1\end{array}\right\};$

Wherein, d is the bee-line between electric power transmission line and kindling point affected by kindling point;

D2: the ground surface type that position occurs according to kindling point, calculates mountain fire risk ground surface type subindex f ₃g (), then enters step D3;

Wherein, g represents that the topographical features of position occurs kindling point;

D3: the wind direction data near position occur according to kindling point, the latitude and longitude coordinates with the nearest part of path of ignition point position in the latitude and longitude coordinates of position, the electric power transmission line affected by kindling point and the electric power transmission line that affects by kindling point is there is in conjunction with kindling point, judge that kindling point wind direction near position and kindling point occurs and position occurs whether is positioned at this electric power transmission line the same side affected by kindling point, then enter step D4 if YES, then enter step D5 if NO;

D4: judge mountain fire risk wind speed subindex f ₂v () is 0.1; Then step D6 is entered;

D5: calculate the wind speed V near kindling point generation position _wcomponent V in the electric power transmission line vertical direction affected by kindling point, then calculates mountain fire risk wind speed subindex f according to the component calculated ₂(V), then step D6 is entered;

V=V _w× sin (φ), V _wfor the wind speed near position occurs kindling point, φ is the absolute value of the trend of electric power transmission line and the angle of wind direction affected by kindling point;

$f_2\left(V\right)=\left\{\begin{array}{cc}V>9,& f_2\left(V\right)=0.5\\ 6\&le;V\&le;9& f_2\left(V\right)=0.7\\ 2\&le;V<6& f_2\left(V\right)=1\\ V<2& f_2\left(V\right)=0.6\end{array}\right\};$

D6: be multiplied with mountain fire risk wind speed subindex in mountain fire risk distance subindex, mountain fire risk ground surface type subindex, the mountain fire calculating this mountain fire event closes on risk index F (d, V, g),

F(d,V,g)＝f ₁(d)×f ₂(V)×f ₃(g)。

The mountain fire of transmission line-oriented according to claim 3 closes on methods of risk assessment, it is characterized in that: in described step e, and mountain fire early warning risk class W (p) is

$W\left(p\right)=\left.{{\begin{array}{cc}p>0.75& W\left(p\right)=4\\ 0.5\&le;p\&le;0.75& W\left(p\right)=3\\ 0.25\&le;p<0.5& W\left(p\right)=2\\ p<0.25& W\left(p\right)=1\end{array}\right\};$ Wherein p is that mountain fire closes on risk index F (d, V, g).