CN108198090A - A kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method - Google Patents
A kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method Download PDFInfo
- Publication number
- CN108198090A CN108198090A CN201711368148.0A CN201711368148A CN108198090A CN 108198090 A CN108198090 A CN 108198090A CN 201711368148 A CN201711368148 A CN 201711368148A CN 108198090 A CN108198090 A CN 108198090A
- Authority
- CN
- China
- Prior art keywords
- power transmission
- typhoon
- wind
- power grid
- danger coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 239000003086 colorant Substances 0.000 claims description 4
- 229910017435 S2 In Inorganic materials 0.000 claims 1
- 239000000463 material Substances 0.000 abstract description 4
- 238000000205 computational method Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000012098 association analyses Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002459 sustained effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Alarm Systems (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method, it is related to grid equipment and prevents and reduces natural disasters field, include the following steps：S1, structure history typhoon distribution map；S2, existing power grid power transmission and distribution facility is marked according to different danger classes on history typhoon distribution map respectively；The data of history typhoon in the power grid power transmission and distribution facility marked in S3, collection step S2, the distance for causing calamity point and history typhoon track, history typhoon are calculated to wind-force, the wind speed reducing speed for causing calamity point, and wind-force, the wind speed reducing speed of history typhoon to cause calamity point are sorted in order；S4, the time of following typhoon predicted according to meteorological general bureau, path, calculate following typhoon and reach the distance for causing calamity point, then predict the disaster-stricken probability of the cause calamity point, carry out layouting for power grid power transmission and distribution facility.The present invention layouts wide coverage, and required historical data is few, and computational methods are simple, and manpower and materials consumption is few, and the accuracy layouted is high.
Description
Technical field
Field is prevented and reduced natural disasters the present invention relates to grid equipment more particularly to a kind of power grid power transmission and distribution facility Typhoon Monitoring is layouted
Method.
Background technology
Typhoon refers to the volume tropical cyclone being formed on 26 DEG C of the torrid zone or subtropics or more wide face, and World Meteorological Organization will
Center sustained wind velocity is defined as typhoon in 12 grades to 13 grades of tropical cyclone, is that concentration, coverage are most wide the most on the time
One of natural calamity, due to having a very wide distribution for grid equipment, influenced by typhoon big, therefore typhoon is that can power grid pacify
Entirely, one of important factor in order of stable operation.At present, the construction of power grid power transmission and distribution facility and retrofit work are directly to adopt mostly
The numerical value of design wind speed is determined with the mode of wind area figure or the meteorology specific analysis of engineering geographic location, this just needs to obtain
The automatic weather station detection data of meteorological department, and automatic weather station detection data arises primarily at the prison close to downtown areas
Survey station point, for the region far from cities and towns, environmental difference between the two is larger, the data that automatic weather station is caused to detect
The true environment far from downtown areas can not be accurately reflected, eventually leads to inspection of institute's power grid power transmission and distribution facility to true typhoon situation
Indeterminacy is true, and the monitoring function and effect of part power grid power transmission and distribution facility are not notable.
Application publication number：CN107194494A, discloses a kind of power grid power transmission and distribution facility points distributing method, and this method is based on electricity
The association analysis of regional historical Typhoon Wind Field residing for net and power grid typhoon failure, which obtains, causes calamity air speed value, and with history Typhoon Wind Field
More than the foundation for causing the calamity air speed value frequency alternatively monitoring station site, but this method is mainly to depend on history in the course of transit
The data that typhoon data and history typhoon impact, the data volume of collection is big required for cloth point process, comforms most in
The difficulty for extracting data is big, and human and material resources consumption is big, and the accuracy of collected historical data and comprehensive can directly affect
The air speed value of calamity is caused, and then influences the situation of layouting at Typhoon Monitoring station.Based on the shortcomings of the prior art, the present invention proposes one
Kind power grid power transmission and distribution facility Typhoon Monitoring points distributing method.
Invention content
In view of the deficiencies of the prior art, the present invention provides a kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method.
The present invention is to solve above-mentioned technical problem by the following technical solutions：A kind of power grid power transmission and distribution facility typhoon
Monitoring location method, includes the following steps：
S1, structure history typhoon distribution map；
S2, existing power grid power transmission and distribution facility is marked according to different danger classes on history typhoon distribution map respectively；
The data of history typhoon in the power grid power transmission and distribution facility marked in S3, collection step S2 calculate and cause calamity point and history typhoon
The distance in path, history typhoon are to wind-force, the wind speed reducing speed for causing calamity point, and by history typhoon to wind-force, the wind of cause calamity point
Fast reducing speed sorts in order；
S4, the time of following typhoon predicted according to meteorological general bureau, path, calculate following typhoon and reach the distance for causing calamity point；Again
Prediction causes the disaster-stricken probability of calamity point, and layouting for power grid power transmission and distribution facility is carried out according to disaster-stricken probability.
Further, the method for structure history typhoon distribution map is in the step S1：The path profile of history typhoon is collected,
It is equidistant on path profile to divide each data acquisition point, danger coefficient is calculated by each data acquisition point, according to danger coefficient meter
Total danger coefficient is calculated, and divides danger classes；It, will by total danger coefficient and danger classes label on the path profile of history typhoon
The path profile of marked good history typhoon is overlapped according to geographical coordinate position, obtains history typhoon distribution map.
Further, the method for the total danger coefficient of calculating is：Respectively by the wind scale and wind speed of data acquisition point
Grade classification is 10 regions, and is sorted out in the way of 0.1~1, and the data obtained is danger coefficient；Then by data acquisition point
Wind scale be added with the danger coefficient value that wind speed scale belongs to, obtain total danger coefficient value of data acquisition point.
Further, 10 regions of the wind scale and danger coefficient value are respectively：Be 1st area below 8 grades of wind-force,
Danger coefficient is 0.1, and 8~9 grades of wind-force is 2nd area, danger coefficient 0.2, and 9~10 grades of wind-force is 3rd area, danger coefficient 0.3, wind
10~11 grades of power is 4th area, danger coefficient 0.4, and 11~12 grades of wind-force is 5th area, danger coefficient 0.5, and 12~13 grades of wind-force is 6
Area, danger coefficient 0.6,13~14 grades of wind-force is 7th area, danger coefficient 0.7, and 14~15 grades of wind-force is 8th area, danger coefficient is
0.8,15~16 grades of wind-force is 9th area, danger coefficient 0.9,16 grades of wind-force or more is 10th area, danger coefficient 1.
Further, 10 regions of the wind speed scale and danger coefficient value are respectively：Wind speed is in below 20.9m/s
For 1st area, danger coefficient 0.1, wind speed is 2nd area, danger coefficient 0.2 in 21~24.6m/s, and wind speed is in 24.7~28.5m/s
For 3rd area, danger coefficient 0.3, wind speed is 4th area, danger coefficient 0.4 in 28.6~32.6m/s, and wind speed is in 32.7~36.9m/
S is 5th area, danger coefficient 0.5, and wind speed is 6th area, danger coefficient 0.6 in 37.0~41.4m/s, wind speed 41.5~
46.1m/s is 7th area, danger coefficient 0.7, and wind speed is 8th area, danger coefficient 0.8 in 46.2~50.9m/s, and wind speed is 51.0
~56.0m/s is 9th area, danger coefficient 0.9, and wind speed is 10th area, danger coefficient 1 in more than 56.1m/s.
Further, the danger classes in the step S2 is marked using different colors, the danger classes point
For high grade, advanced, intermediate and rudimentary.
Further, the high grade needs the ranging from range data of power grid power transmission and distribution facility marked in step s 2
It obtains within point 50km, the ranging from range data of the advanced power grid power transmission and distribution facility for needing to mark in step s 2 obtains
Within point 40km, the middle rank needs the ranging from range data of the power grid power transmission and distribution facility marked to obtain point in step s 2
Within 30km, the ranging from range data of the rudimentary power grid power transmission and distribution facility for needing to mark in step s 2 obtains point 20km
Within.
Further, the data in the step S3 include the wind speed for causing calamity grade, causing calamity frequency, causing calamity point.
Further, the specific standards layouted of power grid power transmission and distribution facility are carried out in the step S4 according to disaster-stricken probability
For：If disaster-stricken probability is more than 80%, centered on the cause calamity point, the number of power grid power transmission and distribution facility within statistics circumference 10km
Amount, and layout according to the standard at least there are 3 power grid power transmission and distribution facilities；If disaster-stricken probability between 50%~80%,
Centered on the cause calamity point, the quantity of power grid power transmission and distribution facility within statistics circumference 10km, and according at least there are 2 power grids are defeated
The standard of distribution facility is layouted；If disaster-stricken probability is between 20%~50%, centered on the cause calamity point, statistics circumference
The quantity of power grid power transmission and distribution facility within 10km, and layout according to the standard at least there are 1 power grid power transmission and distribution facility；If
Disaster-stricken probability is 20% hereinafter, not counting then.
Compared with prior art, a kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method provided by the present invention, layouts
Wide coverage, required historical data is few, and computational methods are simple, and manpower and materials consumption is few, and the accuracy layouted is high；It utilizes
The path of history typhoon, wind-force, wind speed, geographical coordinate carry out structure history typhoon distribution map, and on history typhoon distribution map
The danger coefficient of each data acquisition point is calculated, and computational methods are simple, then danger coefficient is divided into four danger classes,
It is intuitively shown in history typhoon distribution map, convenient for designer's observation and research history typhoon situation, then according to danger classes
The history typhoon data of power grid power transmission and distribution facility are collected, the quantity of history typhoon data is significantly reduced, reduces manpower and materials
It consumes, the data of calamity point and the data of following typhoon is caused to calculate and cause calamity point in the power grid power transmission and distribution facility in conjunction in the range of
Disaster-stricken probability, and layouting for power grid power transmission and distribution facility is carried out according to disaster-stricken probability, improve effective covering of power grid power transmission and distribution facility
Rate reduces the wasting of resources, ensures the accuracy that power grid power transmission and distribution facility is layouted.
Specific embodiment
The technical solution in the present invention is clearly and completely described below, it is clear that described embodiment is only
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The all other embodiments obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
A kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method provided by the present invention, includes the following steps：
S1, structure history typhoon distribution map：The path profile of history typhoon is collected, it is equidistant on path profile to divide each data acquisition
Point calculates danger coefficient by each data acquisition point, the wind scale of data acquisition point and wind speed scale is divided into 10 respectively
A region, and sort out in the way of 0.1~1, the data obtained is danger coefficient；By the wind scale and wind speed of data acquisition point
The danger coefficient value of grade ownership is added, and obtains total danger coefficient value of data acquisition point；Danger coefficient is divided dangerous
Grade is high grade, advanced, intermediate and rudimentary, and is marked using different colors；By total danger coefficient and different colours
Danger classes mark on the path profile of history typhoon, finally by the path profile of several marked good history typhoons according to
Geographical coordinate position is overlapped to get history typhoon distribution map；
S2, centered on the data acquisition point on history typhoon distribution map, will be existing according to the rank of different danger classes
Power grid power transmission and distribution facility marks on history typhoon distribution map, and danger classes is set for the power grid power transmission and distribution that the needs of high grade mark
The ranging from range data applied is obtained within point 50km, and danger classes is the model of power grid power transmission and distribution facility that advanced needs mark
Enclose and obtained within point 40km for range data, the power grid power transmission and distribution facility that danger classes is marked for intermediate needs ranging from away from
Within data acquisition point 30km, danger classes is the ranging from range data of power grid power transmission and distribution facility that rudimentary needs mark
It obtains within point 20km；
The data of history typhoon in the power grid power transmission and distribution facility marked in S3, collection step S2, including causing calamity grade, causing calamity frequency
Rate, the wind speed for causing calamity point calculate the distance for causing calamity point closest approach in the path of history typhoon, history typhoon to cause calamity point
Wind-force, wind speed reducing speed, and wind-force, the wind speed reducing speed of history typhoon to cause calamity point are sorted in order；
S4, the time of following typhoon predicted according to meteorological general bureau, path, calculate following typhoon and reach the distance for causing calamity point；Choosing
Select cause calamity point calculate in step s3 after wind-force, wind speed reducing speed predict the disaster-stricken probability of the cause calamity point；And according to
Disaster-stricken probability carries out layouting for power grid power transmission and distribution facility, if disaster-stricken probability more than 80%, centered on the cause calamity point, counts
Have an area of the quantity of power grid power transmission and distribution facility within 10km, and cloth is carried out according to the standard at least there are 3 power grid power transmission and distribution facilities
Point；If disaster-stricken probability is between 50%~80%, centered on the cause calamity point, power grid power transmission and distribution facility within statistics circumference 10km
Quantity, and layout according to the standard at least there are 2 power grid power transmission and distribution facilities；If disaster-stricken probability 20%~50% it
Between, then centered on the cause calamity point, the quantity of power grid power transmission and distribution facility within statistics circumference 10km, and according at least there are 1
The standard of power grid power transmission and distribution facility is layouted；If disaster-stricken probability 20% hereinafter, if do not count.
10 regions of wind scale and danger coefficient value are respectively：It is 1st area below 8 grades of wind-force, danger coefficient is
0.1,8~9 grades of wind-force is 2nd area, danger coefficient 0.2, and 9~10 grades of wind-force is 3rd area, danger coefficient 0.3,10~11 grades of wind-force
For 4th area, danger coefficient 0.4,11~12 grades of wind-force is 5th area, danger coefficient 0.5, and 12~13 grades of wind-force is 6th area, dangerous system
Number is 0.6, and 13~14 grades of wind-force is 7th area, danger coefficient 0.7, and 14~15 grades of wind-force is 8th area, danger coefficient 0.8, wind-force
15~16 grades are 9th area, danger coefficient 0.9,16 grades of wind-force or more is 10th area, danger coefficient 1.
10 regions of wind speed and danger coefficient value are respectively：Wind speed is for 1st area, danger coefficient in below 20.9m/s
0.1, wind speed is 2nd area, danger coefficient 0.2 in 21~24.6m/s, and wind speed is 24.7~28.5m/s is 3rd area, danger coefficient is
0.3, wind speed is 4th area, danger coefficient 0.4 in 28.6~32.6m/s, and wind speed is 5th area, danger coefficient in 32.7~36.9m/s
It is 0.5, wind speed is 6th area, danger coefficient 0.6 in 37.0~41.4m/s, and wind speed is 7th area, dangerous system in 41.5~46.1m/s
Number is 0.7, and wind speed is 8th area, danger coefficient 0.8 in 46.2~50.9m/s, and wind speed is 9th area, danger in 51.0~56.0m/s
Coefficient is 0.9, and wind speed is 10th area, danger coefficient 1 in more than 56.1m/s.
Above disclosed is only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, can readily occur in variation or modification,
It is covered by the protection scope of the present invention.
Claims (9)
1. a kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method, it is characterised in that：Include the following steps：
S1, structure history typhoon distribution map；
S2, existing power grid power transmission and distribution facility is marked according to different danger classes on history typhoon distribution map respectively；
The data of history typhoon in the power grid power transmission and distribution facility marked in S3, collection step S2 calculate and cause calamity point and history typhoon
The distance in path, history typhoon are to wind-force, the wind speed reducing speed for causing calamity point, and by history typhoon to wind-force, the wind of cause calamity point
Fast reducing speed sorts in order；
S4, the time of following typhoon predicted according to meteorological general bureau, path, calculate following typhoon and reach the distance for causing calamity point；Again
Prediction causes the disaster-stricken probability of calamity point, and layouting for power grid power transmission and distribution facility is carried out according to disaster-stricken probability.
2. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 1, it is characterised in that：The step S1
It is middle structure history typhoon distribution map method be：The path profile of history typhoon is collected, it is equidistant on path profile to divide each data
Point is obtained, danger coefficient is calculated by each data acquisition point, total danger coefficient is calculated, and divide danger etc. according to danger coefficient
Grade；By total danger coefficient and danger classes label on the path profile of history typhoon, by the path of marked good history typhoon
Figure is overlapped according to geographical coordinate position, obtains history typhoon distribution map.
3. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 2, it is characterised in that：It is described to calculate always
The method of danger coefficient is：The wind scale of data acquisition point and wind speed scale are divided into 10 regions respectively, and according to 0.1
~1 mode is sorted out, and the data obtained is danger coefficient；Then the danger belonged to the wind scale of data acquisition point and wind speed scale
Dangerous coefficient value is added, and obtains total danger coefficient value of data acquisition point.
4. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 3, it is characterised in that：Described wind-force etc.
10 regions and danger coefficient value of grade are respectively：It is 1st area below 8 grades of wind-force, danger coefficient 0.1,8~9 grades of wind-force is 2
Area, danger coefficient 0.2,9~10 grades of wind-force is 3rd area, danger coefficient 0.3, and 10~11 grades of wind-force is 4th area, danger coefficient is
0.4,11~12 grades of wind-force is 5th area, danger coefficient 0.5, and 12~13 grades of wind-force is 6th area, danger coefficient 0.6, wind-force 13~
14 grades are 7th area, danger coefficient 0.7, and 14~15 grades of wind-force is 8th area, danger coefficient 0.8, and 15~16 grades of wind-force is 9th area, danger
Dangerous coefficient is 0.9, and 16 grades of wind-force or more is 10th area, danger coefficient 1.
5. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 3, it is characterised in that：Described wind speed etc.
10 regions and danger coefficient value of grade are respectively：Wind speed is 1st area, danger coefficient 0.1 in below 20.9m/s, and wind speed exists
21~24.6m/s is 2nd area, danger coefficient 0.2, and wind speed is 3rd area, danger coefficient 0.3 in 24.7~28.5m/s, and wind speed exists
28.6~32.6m/s is 4th area, danger coefficient 0.4, and wind speed is 5th area, danger coefficient 0.5 in 32.7~36.9m/s, wind speed
It is 6th area, danger coefficient 0.6 in 37.0~41.4m/s, wind speed is 7th area, danger coefficient 0.7 in 41.5~46.1m/s, wind
Speed is 8th area, danger coefficient 0.8 in 46.2~50.9m/s, and wind speed is 9th area, danger coefficient 0.9 in 51.0~56.0m/s,
Wind speed is 10th area, danger coefficient 1 in more than 56.1m/s.
6. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 1, it is characterised in that：The step S2
In danger classes be marked using different colors, the danger classes is divided into high grade, advanced, intermediate and rudimentary.
7. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 6, it is characterised in that：The high grade
The ranging from range data of the power grid power transmission and distribution facility marked is needed to obtain within point 50km in step s 2, it is described advanced in step
The ranging from range data of the power grid power transmission and distribution facility marked is needed to obtain within point 40km in rapid S2, the middle rank is in step S2
It is middle that the ranging from range data of power grid power transmission and distribution facility marked is needed to obtain within point 30km, it is described rudimentary to need in step s 2
The ranging from range data for the power grid power transmission and distribution facility to be marked is obtained within point 20km.
8. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 1, it is characterised in that：The step S3
In data include the wind speed for causing calamity grade, causing calamity frequency, causing calamity point.
9. power grid power transmission and distribution facility Typhoon Monitoring points distributing method according to claim 1, it is characterised in that：The step S4
It is middle according to disaster-stricken probability carry out power grid power transmission and distribution facility the specific standards layouted be：If disaster-stricken probability is more than 80%, with this
Centered on causing calamity point, the quantity of power grid power transmission and distribution facility within statistics circumference 10km, and according at least there are 3 power grid power transmission and distribution
The standard of facility is layouted；If disaster-stricken probability is between 50%~80%, centered on the cause calamity point, statistics circumference 10km with
The quantity of interior power grid power transmission and distribution facility, and layout according to the standard at least there are 2 power grid power transmission and distribution facilities；It is if disaster-stricken several
Rate is between 20%~50%, then centered on the cause calamity point, the quantity of power grid power transmission and distribution facility within statistics circumference 10km, and press
It layouts according to the standard at least there are 1 power grid power transmission and distribution facility；If disaster-stricken probability 20% hereinafter, if do not count.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711368148.0A CN108198090B (en) | 2017-12-18 | 2017-12-18 | Typhoon monitoring and point distribution method for power grid power transmission and distribution facility |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711368148.0A CN108198090B (en) | 2017-12-18 | 2017-12-18 | Typhoon monitoring and point distribution method for power grid power transmission and distribution facility |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108198090A true CN108198090A (en) | 2018-06-22 |
| CN108198090B CN108198090B (en) | 2022-04-22 |
Family
ID=62574570
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711368148.0A Active CN108198090B (en) | 2017-12-18 | 2017-12-18 | Typhoon monitoring and point distribution method for power grid power transmission and distribution facility |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108198090B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901244A (en) * | 2019-03-29 | 2019-06-18 | 云南电网有限责任公司电力科学研究院 | A kind of power transmission line in high altitude region gale monitoring points distributing method and device |
| CN117610898A (en) * | 2024-01-24 | 2024-02-27 | 北京玖天气象科技有限公司 | Point distribution method and device for power grid meteorological monitoring network device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104050518A (en) * | 2014-07-04 | 2014-09-17 | 国家电网公司 | Power grid convection disaster-causing strong wind early warning method based on Doppler weather radar |
| CN104951585A (en) * | 2014-09-04 | 2015-09-30 | 国网山东省电力公司应急管理中心 | Grid equipment based typhoon warning method and device |
| CN106780738A (en) * | 2017-01-23 | 2017-05-31 | 国网山东省电力公司电力科学研究院 | Path site optimization method based on project of transmitting and converting electricity environmental sensitive area |
| CN106842367A (en) * | 2017-01-04 | 2017-06-13 | 广西电网有限责任公司电力科学研究院 | A kind of power network typhoon method for prewarning risk |
| CN106845698A (en) * | 2017-01-04 | 2017-06-13 | 广西电网有限责任公司电力科学研究院 | A kind of Forecasting Methodology of typhoon influence power network outage |
| CN107194494A (en) * | 2017-04-20 | 2017-09-22 | 国网浙江省电力公司电力科学研究院 | A kind of power network Typhoon Monitoring station points distributing method |
-
2017
- 2017-12-18 CN CN201711368148.0A patent/CN108198090B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104050518A (en) * | 2014-07-04 | 2014-09-17 | 国家电网公司 | Power grid convection disaster-causing strong wind early warning method based on Doppler weather radar |
| CN104951585A (en) * | 2014-09-04 | 2015-09-30 | 国网山东省电力公司应急管理中心 | Grid equipment based typhoon warning method and device |
| CN106842367A (en) * | 2017-01-04 | 2017-06-13 | 广西电网有限责任公司电力科学研究院 | A kind of power network typhoon method for prewarning risk |
| CN106845698A (en) * | 2017-01-04 | 2017-06-13 | 广西电网有限责任公司电力科学研究院 | A kind of Forecasting Methodology of typhoon influence power network outage |
| CN106780738A (en) * | 2017-01-23 | 2017-05-31 | 国网山东省电力公司电力科学研究院 | Path site optimization method based on project of transmitting and converting electricity environmental sensitive area |
| CN107194494A (en) * | 2017-04-20 | 2017-09-22 | 国网浙江省电力公司电力科学研究院 | A kind of power network Typhoon Monitoring station points distributing method |
Non-Patent Citations (1)
| Title |
|---|
| 李宗醒等: "基于Super-ZigBee的高大建筑物台风监测系统", 《仪表技术与传感器》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901244A (en) * | 2019-03-29 | 2019-06-18 | 云南电网有限责任公司电力科学研究院 | A kind of power transmission line in high altitude region gale monitoring points distributing method and device |
| CN109901244B (en) * | 2019-03-29 | 2021-07-27 | 云南电网有限责任公司电力科学研究院 | High-altitude area power transmission line strong wind monitoring and point distribution method and device |
| CN117610898A (en) * | 2024-01-24 | 2024-02-27 | 北京玖天气象科技有限公司 | Point distribution method and device for power grid meteorological monitoring network device |
| CN117610898B (en) * | 2024-01-24 | 2024-06-14 | 北京玖天气象科技有限公司 | Point distribution method and device for power grid meteorological monitoring network device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108198090B (en) | 2022-04-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Urban form and air pollution disperse: key indexes and mitigation strategies | |
| CN114371260B (en) | Method for performing gridding monitoring, diffusion early warning and tracing on industrial enterprise unstructured VOCs | |
| CN105095589B (en) | A kind of mountain area power grid wind area is distributed drawing drawing method | |
| CN109709577A (en) | A kind of Three-dimensional Variational Data Assimilation method of the aerosol LIDAR inverting PM2.5 based on WRF-Chem mode | |
| CN102023317B (en) | Method for deploying strong wind monitoring points on rapid transit railway | |
| Hu et al. | Analysis of the spatial and temporal variations of land surface temperature based on local climate zones: A case study in Nanjing, China | |
| CN206312318U (en) | Brushfire monitoring system based on geography information GIS acquisition techniques | |
| CN104180980B (en) | External wind turbine freezing detector and wind turbine freezing detecting method | |
| CN104900057B (en) | A kind of Floating Car map-matching method in the major-minor road of city expressway | |
| CN104182594A (en) | Method for drawing power system wind area graph | |
| CN107808498A (en) | A kind of monitoring method of landslide and the monitoring system of application this method | |
| CN104166171B (en) | The Forecasting Methodology of thundercloud area coverage based on lightning location system and system | |
| CN111144656A (en) | Disaster evaluation analysis method based on GIS | |
| CN108090285A (en) | A kind of microclimate observation points distributing method suitable for the monitoring of complicated landform transmission line of electricity disaster caused by a windstorm | |
| CN106447104A (en) | Power transmission line operation and maintenance area grid dividing and coding method | |
| CN104376384A (en) | Typhoon day maximum daily load prediction system based on power big data analysis | |
| CN101976424A (en) | Method for generating power system polluted region distribution map by utilizing intelligent rule base engine | |
| CN109740195A (en) | A kind of appraisal procedure of extreme value typhoon wind velocity distributing paremeter model and design typhoon wind speed based on weather station observation data | |
| CN111126701A (en) | Forest fire danger early warning method based on GIS and meteorological monitoring network | |
| CN108198090A (en) | A kind of power grid power transmission and distribution facility Typhoon Monitoring points distributing method | |
| CN107944188A (en) | Typhoon eye of wind radius discrimination method near the ground based on weather station measured data | |
| CN104200082A (en) | Typhoon landing prediction method | |
| CN104951492B (en) | Based on the monitoring of power grid GIS wind power plant Professional Meteorological and method for early warning and system | |
| CN202795755U (en) | Road weather and pavement condition monitoring device | |
| CN106408936A (en) | Mobile-phone-data-based real-time detection method for abnormal event of highway |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |