CN108958081A - The synchronous satellite of transmission line forest fire-ground linkage monitoring method and system - Google Patents
The synchronous satellite of transmission line forest fire-ground linkage monitoring method and system Download PDFInfo
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Abstract
The invention discloses a kind of synchronous satellite of transmission line forest fire-ground linkage monitoring methods and system, this method comprises: detecting cloud layer position using Cloud detection algorithm using synchronous satellite data each time;The cloud layer location information being calculated according to historical data predicts current cloud layer moving velocity vector, obtains subsequent time cloud layer position, and extract the boundary of subsequent time cloud layer position;According to the boundary of subsequent time cloud layer position, the ground monitoring device below GIS-Geographic Information System identification subsequent time cloud layer is utilized;By the ground monitoring device starting in the monitoring blind area of subsequent time synchronous satellite, and the ground monitoring device having been turned in last moment monitoring blind area is closed.The regional ground monitoring device that the present invention monitors synchronous satellite closes accumulation of energy, ensure that ground monitoring device there are enough electric energy to carry out monitoring below cloud sector, to thoroughly eliminate the monitoring blind area below synchronous satellite cloud sector, transmission line of electricity small area mountain fire monitoring accuracy is improved.
Description
Technical field
Technical field is prevented and reduced natural disasters the present invention relates to electric system more particularly to a kind of synchronizing for transmission line forest fire is defended
Star-ground linkage monitoring method and system.
Background technique
Mountain fire will cause the insulation damages of transmission line of electricity peripheral air-gap, cause to trip.Chinese mountain fire is up to 70,000 every year
Many places, the long southern line of extra-high voltage and give the important lines such as line repeatedly because locking accident occurs for mountain fire again, and it is more than to count that single, which loses load,
Gigawatt seriously affects people's production and living and social stability.Transmission line forest fire is different from extensive forest fire, mainly
Occur have the characteristics that area is small, multi-point and wide-ranging on the non-backwoods such as the frequent brambles of human activity or bushes, and spreads
Rapidly, easily cause line tripping, lead to power failure.Therefore, a wide range of small area mountain fire of power grid monitors requirement of real-time pole
It is high.
The mountain fire ground monitoring device strong real-time being mounted on electric power line pole tower, accuracy is high, but monitors radius only
It is 1 kilometer, and the up to millions of bases of electric power line pole tower, device can not all standings.Meanwhile ground monitoring device operation power is about
For 25W, though in fine summer, solar charging electrical power also only 15-20W, therefore the device can not continue for a long time
Operation;In such a way that synchronous satellite monitors mountain fire, the whole of China's range can be monitored simultaneously, and subsynchronous every 10-15min reception one
Satellite data effectively overcomes the disadvantage that polar-orbiting satellite scanning range is limited, satellite transit time interval is long.It is defended however, synchronizing
Star is up to 36000 kilometers apart from ground, and signal is weaker, and extremely serious, therefore the mountain fire below cloud layer is influenced by cloud cover
It can not usually find.
Summary of the invention
The present invention provides the monitoring method and system of a kind of linkage of the synchronous satellite of transmission line forest fire-ground, to
Solve mountain fire ground monitoring device covering it is incomplete and can not long-term continuous service, and synchronous satellite monitoring mountain fire led by cloud cover
The technical issues of causing fire point to fail to report.
In order to solve the above technical problems, technical solution proposed by the present invention are as follows:
A kind of monitoring method of the synchronous satellite of transmission line forest fire-ground linkage, comprising the following steps:
Cloud layer recognition: using synchronous satellite data each time, cloud layer position is detected using Cloud detection algorithm;
Cloud layer position prediction: the cloud layer location information being calculated according to historical data predicts current cloud layer movement speed
Vector obtains subsequent time cloud layer position, and extracts the boundary of subsequent time cloud layer position;
Blind area calculates: according to the boundary of subsequent time cloud layer position, identifying subsequent time cloud layer using GIS-Geographic Information System
The ground monitoring device of lower section;
Start-up and shut-down control: the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite is started, and by upper a period of time
The ground monitoring device having been turned in monitoring blind area is carved to close.
Preferably, predict that the calculation formula of current cloud layer moving velocity vector is as follows:
Wherein,For T+1 moment velocity vector, when k is from 1 to N-1 value,It represents from T moment total N- forward
The mobile mean speed vector of cloud layer, w between 1 adjacent two moment1,w1q,w1q2,~w1qN-2For the power being made of Geometric Sequence
Weight coefficient, q is common ratio.
Preferably, in formula (2), N is 6~10,
Preferably, it includes the cloud layer center that subsequent time is calculated according to current cloud layer moving velocity vector that cloud layer position, which calculates,
Position, calculation formula are as follows:
Wherein,For the position vector at T+1 moment cloud layer center,For the position vector at T moment,For the T+1 moment
Velocity vector, t are synchronous satellite data time interval.
Preferably, cloud layer position calculates further include: the profile for extracting the cloud layer at T moment in monitoring image obtains boundary song
Line;Boundary curve is mobileThe cloud layer boundary at the T+1 moment predicted.
The present invention also provides a kind of synchronous satellite of transmission line forest fire-ground linkage monitoring systems, comprising:
Cloud layer recognition unit, for detecting cloud layer position using Cloud detection algorithm using synchronous satellite data each time
It sets;
Cloud layer position prediction unit, the cloud layer location information for being calculated according to historical data, predicts current cloud layer
Moving velocity vector obtains subsequent time cloud layer position, and extracts the boundary of subsequent time cloud layer position;
Blind area computing unit is identified next for the boundary according to subsequent time cloud layer position using GIS-Geographic Information System
Ground monitoring device below moment cloud layer;
Start-up and shut-down control unit, for the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite to be started, and
The ground monitoring device having been turned in last moment monitoring blind area is closed.
Preferably, cloud layer position prediction unit, comprising:
Moving velocity vector computing unit, the cloud layer location information for being calculated according to historical data, prediction are current
Cloud layer moving velocity vector;
Cloud layer center computing unit, for calculating the cloud layer of subsequent time according to current cloud layer moving velocity vector
Center;
Cloud layer feature modeling unit obtains boundary curve for extracting the profile of the cloud layer at current time in monitoring image;
By the product of boundary curve mobile cloud layer moving velocity vector and synchronous satellite data time interval, the subsequent time predicted
Cloud layer boundary.
The present invention also provides a kind of computer equipment, including memory, processor and storage are on a memory and can be
The step of computer program run on processor, processor realizes any of the above-described method when executing computer program.
The invention has the following advantages:
The synchronous satellite of transmission line forest fire of the invention-ground linkage monitoring method, by being monitored to synchronous satellite
Cloud layer path prediction, the ground monitoring device in pre-cooling subsequent time monitoring blind area, had both avoided synchronous satellite cloud
The drawbacks of below layer blind area without monitoring means, and the ground monitoring device below most of non-blind area is closed into accumulation of energy, it improves
The utilization efficiency of ground monitoring device.It is obviously improved transmission line of electricity small area mountain fire level monitoring.
Other than objects, features and advantages described above, there are also other objects, features and advantages by the present invention.
Below with reference to accompanying drawings, the present invention is described in further detail.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the stream of synchronous satellite-ground linkage monitoring method of the transmission line forest fire of the preferred embodiment of the present invention
Journey schematic diagram;
Fig. 2 is the synchronous satellite monitoring cloud layer position prediction schematic diagram of the preferred embodiment of the present invention 1;
Fig. 3 is synchronous satellite-ground linkage monitoring flow chart of the preferred embodiment of the present invention 1.
Marginal data:
1, cloud layer position;2, cloud layer movement routine;3, cloud layer moving velocity vector.
Specific embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
Referring to Fig. 1, synchronous satellite-ground linkage monitoring method of transmission line forest fire of the invention, including following step
It is rapid:
S1: using synchronous satellite data each time, cloud layer position cloud layer recognition: is detected using Cloud detection algorithm;
S2: cloud layer position prediction: the cloud layer location information being calculated according to historical data predicts the mobile speed of current cloud layer
Vector is spent, obtains subsequent time cloud layer position, and extract the boundary of subsequent time cloud layer position;
S3: blind area calculates: according to the boundary of subsequent time cloud layer position, identifying subsequent time cloud using GIS-Geographic Information System
The ground monitoring device of layer lower section;
S4: start-up and shut-down control: the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite is started, and by upper one
The ground monitoring device having been turned in moment monitoring blind area is closed.
Above-mentioned steps, by monitoring cloud layer path prediction, pre-cooling subsequent time monitoring blind area to synchronous satellite
Interior ground monitoring device, the drawbacks of not only having avoided below synchronous satellite cloud layer blind area without monitoring means, but also will be most of non-blind
Ground monitoring device below area closes accumulation of energy, improves the utilization efficiency of ground monitoring device.It is small to be obviously improved transmission line of electricity
Area mountain fire level monitoring.
When actual implementation, above method also can be carried out expansion or application below, the technical characteristic in following embodiment
It can be combined with each other, embodiment not as the normal combination to technical characteristic only as an example, limit.
Embodiment 1:
Fig. 2 is the synchronous satellite monitoring cloud layer position prediction schematic diagram of the preferred embodiment of the present invention, in Fig. 2, synchronous satellite
The cloud layer position 1 monitored constantly changes in the Fixed Time Interval of satellite reception data, obtains cloud layer movement routine 2, leads to
Two neighboring cloud layer position 1 and known time interval are crossed, cloud layer moving velocity vector 3 in the corresponding period can be sought.
Referring to Fig. 3, the monitoring method that synchronous satellite-ground of the transmission line forest fire of the present embodiment is linked, including it is following
Step:
S1: cloud layer recognition: using (the present embodiment uses synchronous satellite data, the original number that satellite issues each time
Can be used for the part of nutritious obesity in), cloud layer position 1 is detected using Cloud detection algorithm.
S2: predict cloud layer position 1: 1 information of cloud layer position being calculated according to historical data predicts that current cloud layer is mobile
Velocity vector 3 obtains subsequent time cloud layer position 1, and extracts the boundary of subsequent time cloud layer position 1.
S201: velocity vector prediction.
If being divided into t between synchronous satellite data time, latitude and longitude coordinates locating for T moment cloud layer position 1 are (lonT,latT), it is preceding
N-1 moment cloud layer center is respectively (lonT-N+1,latT-N+1), (lonT-N+1,latT-N+1) ..., (lonT-1,
latT-1), to guarantee not influenced by cloud layer change in shape during prediction, N value be should not be too large, and generally take 6~10.According to
Position between adjacent two moment is obtained from cloud layer rolling average velocity vector between T moment forward N-1 adjacent two moment such as
Under:
Wherein, i and j respectively represents longitudinal and latitudinal velocity vector,It is cloud layer by positionIt moves
It movesMean speed vector;It is cloud layer by positionIt is moved toMean speed vector;For
Cloud layer is by positionIt is moved toMean speed vector.
Then T+1 moment velocity vector is calculated as follows:
Wherein w1,w1q,w1q2,~w1qN-2For the weight coefficient being made of Geometric Sequence, when k is from 1 to N-1 value,The mean speed vector mobile from cloud layer between T moment forward total N-1 adjacent two moment is represented, q is common ratio,Because the cloud layer speed closer to the T moment is more close with the speed at T+1 moment in future, q > 1.
S202: cloud layer position 1 calculates.
If the position vector at T momentThe then position at T+1 moment cloud layer center are as follows:
Wherein,For the position vector at T+1 moment cloud layer center,For T+1 moment velocity vector, t is synchronous satellite
Data time interval.
S203: cloud layer boundary profile is extracted.
The profile for extracting T moment cloud layer in monitoring image, obtains boundary curve.Boundary curve is mobileIt obtains pre-
Survey T+1 moment cloud layer boundary.
S3: blind area calculates: according to the boundary of subsequent time cloud layer position 1, identifying subsequent time using GIS-Geographic Information System
Ground monitoring device below cloud layer.
S4: start-up and shut-down control: the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite is started, and by upper one
The ground monitoring device having been turned in moment monitoring blind area is closed.After if cloud layer is mobile primary the part of last blind area or
Person is whole still below cloud layer, then this part still is then continued to retain by cloud cover or the ground monitoring device blocked
Starting.
The present embodiment also provides a kind of synchronous satellite-ground linkage monitoring system of transmission line forest fire, including cloud layer
Recognition unit, cloud layer position prediction unit, blind area computing unit and start-up and shut-down control unit.Wherein, cloud layer recognition unit is for benefit
With synchronous satellite data each time, cloud layer position 1 is detected using Cloud detection algorithm;1 predicting unit of cloud layer position is used for root
The cloud layer location information being calculated according to historical data predicts current cloud layer moving velocity vector 3, obtains subsequent time cloud layer position
1 is set, and extracts the boundary of subsequent time cloud layer position 1;Blind area computing unit is used for the side according to subsequent time cloud layer position 1
Boundary utilizes the ground monitoring device below GIS-Geographic Information System identification subsequent time cloud layer;Start-up and shut-down control unit is used for will be next
Ground monitoring device starting in the monitoring blind area of timing synchronization satellite, and the ground that will be had been turned in last moment monitoring blind area
Monitoring device is closed.
When implementation, cloud layer position prediction unit, it may include moving velocity vector computing unit, cloud layer center calculate single
Member and cloud layer feature modeling unit, wherein moving velocity vector computing unit is used for the cloud layer being calculated according to historical data
Location information predicts current cloud layer moving velocity vector 3;Cloud layer center computing unit is used for according to the mobile speed of current cloud layer
Vector 3 is spent, the cloud layer center of subsequent time is calculated;Cloud layer feature modeling unit is for extracting current time in monitoring image
Cloud layer profile, obtain boundary curve;It will be between the mobile cloud layer moving velocity vector 3 of boundary curve and synchronous satellite data time
Every product, the cloud layer boundary for the subsequent time predicted.
Embodiment 2:
The present embodiment is the method and step of embodiment 1 applied to the application examples that certain is saved during the Spring Festival.
Transmission line forest fire is monitored using Japanese MT SAT synchronous satellite.MTSAT satellite emits a data every 15min,
I.e. satellite data time interval is t=15min=0.25h.Current time monitors cloud layer center Monitoring the cloud layer center point coordinate first 5 times is respectively With
Then obtain 5 velocity vectors:
Wherein speed is indicated by longitude and latitude, and is not converted into actual speed.
Common ratio q=2 is taken, w is acquired1=1/31.Then subsequent time cloud layer movement speed:
Then subsequent time cloud layer position is obtained:
According to monitoring Extraction of Image current time cloud layer boundary profile curve, on this basis plus displacement Obtain prediction subsequent time cloud layer boundary curve.According to generalized information system, identifying has in the region
16, ground monitoring device, all starting monitorings immediately.Meanwhile it is 9 tread monitoring devices below current time cloud layer are complete
Portion closes accumulation of energy.
Embodiment 3:
The present embodiment provides a kind of computer equipment, including memory, processor and storage are on a memory and can be
The step of computer program run on processor, processor realizes any of the above-described embodiment when executing computer program.
In conclusion the present invention closes accumulation of energy in the regional ground monitoring device for having synchronous satellite to monitor, it is ensured that under cloud sector
Square ground monitoring device has enough electric energy to carry out monitoring, to thoroughly eliminate the monitoring blind area below synchronous satellite cloud sector, mentions
High transmission line of electricity small area mountain fire monitoring accuracy.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of synchronous satellite of transmission line forest fire-ground linkage monitoring method, which comprises the following steps:
Cloud layer recognition: using synchronous satellite data each time, cloud layer position is detected using Cloud detection algorithm;
Cloud layer position prediction: the cloud layer location information being calculated according to historical data predicts current cloud layer moving velocity vector,
Subsequent time cloud layer position is obtained, and extracts the boundary of subsequent time cloud layer position;
Blind area calculates: according to the boundary of subsequent time cloud layer position, below GIS-Geographic Information System identification subsequent time cloud layer
Ground monitoring device;
Start-up and shut-down control: the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite is started, and will be supervised last moment
The ground monitoring device having been turned in blind area is surveyed to close.
2. the synchronous satellite of transmission line forest fire according to claim 1-ground linkage monitoring method, feature exist
In predicting that the calculation formula of current cloud layer moving velocity vector is as follows:
Wherein,For T+1 moment velocity vector, when k is from 1 to N-1 value,It represents from the T moment total N-1 forward
The mobile mean speed vector of cloud layer, w between adjacent two moment1,w1q,w1q2,~w1qN-2For the weight being made of Geometric Sequence
Coefficient, q are common ratio.
3. the synchronous satellite of transmission line forest fire according to claim 2-ground linkage monitoring method, feature exist
In, in formula (2), N is 6~10,
4. the synchronous satellite of transmission line forest fire according to claim 2 or 3-ground linkage monitoring method, feature
It is, it includes the cloud layer center that subsequent time is calculated according to current cloud layer moving velocity vector that the cloud layer position, which calculates,
Calculation formula is as follows:
Wherein,For the position vector at T+1 moment cloud layer center,For the position vector at T moment,For T+1 moment speed
Vector, t are synchronous satellite data time interval.
5. the synchronous satellite of transmission line forest fire according to claim 4-ground linkage monitoring method, feature exist
In the cloud layer position calculates further include: the profile for extracting the cloud layer at T moment in monitoring image obtains boundary curve;By boundary
Curve movementThe cloud layer boundary at the T+1 moment predicted.
6. a kind of synchronous satellite of transmission line forest fire-ground linkage monitoring system characterized by comprising
Cloud layer recognition unit, for detecting cloud layer position using Cloud detection algorithm using synchronous satellite data each time;
Cloud layer position prediction unit, the cloud layer location information for being calculated according to historical data predict that current cloud layer is mobile
Velocity vector obtains subsequent time cloud layer position, and extracts the boundary of subsequent time cloud layer position;
Blind area computing unit identifies subsequent time using GIS-Geographic Information System for the boundary according to subsequent time cloud layer position
Ground monitoring device below cloud layer;
Start-up and shut-down control unit, for the ground monitoring device in the monitoring blind area of subsequent time synchronous satellite to be started, and will be upper
The ground monitoring device having been turned in one moment monitoring blind area is closed.
7. the synchronous satellite of transmission line forest fire according to claim 6-ground linkage monitoring system, feature exist
In the cloud layer position prediction unit, comprising:
Moving velocity vector computing unit, the cloud layer location information for being calculated according to historical data, predicts current cloud layer
Moving velocity vector;
Cloud layer center computing unit, for calculating the cloud layer of subsequent time according to the current cloud layer moving velocity vector
Center;
Cloud layer feature modeling unit obtains boundary curve for extracting the profile of the cloud layer at current time in monitoring image;By side
The product of boundary's curve movement cloud layer moving velocity vector and synchronous satellite data time interval, the cloud for the subsequent time predicted
Layer boundary.
8. a kind of computer equipment, can run on a memory and on a processor including memory, processor and storage
Computer program, which is characterized in that the processor realizes that the claims 1 to 5 are any when executing the computer program
The step of the method.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113450524A (en) * | 2021-06-24 | 2021-09-28 | 广东电网有限责任公司 | Method and device for obtaining forest fire monitoring blind area based on stationary meteorological satellite |
WO2023035494A1 (en) * | 2021-09-10 | 2023-03-16 | 广东电网有限责任公司电力科学研究院 | Three-dimensional power transmission corridor wildfire monitoring and control method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6405134B1 (en) * | 2000-08-30 | 2002-06-11 | Weatherdata, Inc. | Method and apparatus for predicting lightning threats based on radar and temperature data |
CN103869374A (en) * | 2012-12-12 | 2014-06-18 | 波音公司 | Aerial Forest Inventory System |
CN104166171A (en) * | 2014-08-25 | 2014-11-26 | 清华大学 | Method and system for predicating thundercloud cover area based on lightning locating system |
EP3139359A1 (en) * | 2015-09-01 | 2017-03-08 | Honeywell International Inc. | System and method providing early prediction and forecasting of false alarms by applying statistical inference models |
CN107563397A (en) * | 2016-06-30 | 2018-01-09 | 中国电力科学研究院 | Cloud cluster method for calculation motion vector in a kind of satellite cloud picture |
-
2018
- 2018-08-28 CN CN201810990941.2A patent/CN108958081B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6405134B1 (en) * | 2000-08-30 | 2002-06-11 | Weatherdata, Inc. | Method and apparatus for predicting lightning threats based on radar and temperature data |
CN103869374A (en) * | 2012-12-12 | 2014-06-18 | 波音公司 | Aerial Forest Inventory System |
CN104166171A (en) * | 2014-08-25 | 2014-11-26 | 清华大学 | Method and system for predicating thundercloud cover area based on lightning locating system |
EP3139359A1 (en) * | 2015-09-01 | 2017-03-08 | Honeywell International Inc. | System and method providing early prediction and forecasting of false alarms by applying statistical inference models |
CN107563397A (en) * | 2016-06-30 | 2018-01-09 | 中国电力科学研究院 | Cloud cluster method for calculation motion vector in a kind of satellite cloud picture |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113450524A (en) * | 2021-06-24 | 2021-09-28 | 广东电网有限责任公司 | Method and device for obtaining forest fire monitoring blind area based on stationary meteorological satellite |
WO2023035494A1 (en) * | 2021-09-10 | 2023-03-16 | 广东电网有限责任公司电力科学研究院 | Three-dimensional power transmission corridor wildfire monitoring and control method and system |
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