CN104573363A - Spatial valuing method of design air speed of overhead transmission line of coastal region - Google Patents
Spatial valuing method of design air speed of overhead transmission line of coastal region Download PDFInfo
- Publication number
- CN104573363A CN104573363A CN201510007103.5A CN201510007103A CN104573363A CN 104573363 A CN104573363 A CN 104573363A CN 201510007103 A CN201510007103 A CN 201510007103A CN 104573363 A CN104573363 A CN 104573363A
- Authority
- CN
- China
- Prior art keywords
- wind speed
- station
- data
- interpolation
- wind
- 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
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention provides a spatial valuing method of design air speed of an overhead transmission line of a coastal region. The method comprises the steps of 1) collecting, reviewing and correcting materials; 2) analyzing tropical cyclone characteristics of the coastal region; 3) calculating the theoretic long-term air speed through meteorological observatory; 4) performing supplementing calculation through an automatic meteorological observatory; 5) performing spatial interpolation and optimizing of the designed air speed. According to the method, the data of an ocean station and the automatic meteorological observatory are fully utilized, the data of the ocean station are introduced to clearly reflect the trend of the air speed changing from the coastal region to the inland; the data of the automatic meteorological observatory are introduced to provide more design air speed spatial interpolation points, and therefore the representation of the basic meteorological data of the transmission line project can be improved; in addition, the reasonability and stability of the spatial distribution of the design air speed can be ensured by the optimal space interpolation method. The spatial valuing method of design air speed of the overhead transmission line of the coastal region is accurate in air speed calculation result.
Description
Technical field
The invention belongs to the technical field of work transmission line design and reconstruction, be specifically related to the space obtaining value method of a kind of coastland overhead transmission line design wind speed.
Background technology
China southeastern coastal areas are positioned on the main activities path of tropical cyclone of northwestern Pacific Ocean and Tropical Cyclone Frequencies Over The South China Sea, serious by tropical cyclone invasion and attack, coastland transmission line of electricity prevent and reduce natural disasters that the situation is tense.
Design wind speed is the key parameter of overhead transmission line design, and design wind speed value is directly connected to the economy of line project, security and applicability.Near current overhead transmission line design wind speed Main Basis line corridor, Wind Data, " loading code for design of building structures " GB50009-2012 and considering with the built line design wind speed in region of the long-range meteorological station determines.
Because long-range meteorological Station distribution is comparatively sparse, its observation field multidigit is in frontier district, suburbs or the suburbs, along with urbanization process is accelerated, survey wind environment general degradation, can not objectively respond line project the wind speed spatial distribution rule of the different regions such as the open ground, field of process, mountain ridge windward slope and strand strong wind area." loading code for design of building structures " GB50009-2012 research range is throughout the whole nation, and each city, the whole nation in annex E fundamental wind pressure value table and national fundamental wind pressure distribution plan only give space scale 10
2the wind speed variation tendency of kilometers, limited spatial resolution, cannot describe coastland space scale 10 during practical application with becoming more meticulous
1~ 10
2the topography and geomorphology of kilometers affects wind field.Therefore the value of coastland overhead transmission line design wind speed faces the problems such as the deficient and representativeness of basic data is limited.
Summary of the invention
The object of the invention is to propose the space obtaining value method of a kind of wind speed result of calculation coastland overhead transmission line design wind speed more accurately.The present invention is by the statistics coastland Tropical Cyclone Landing frequency and strength characteristic, supplement and compile the automatic weather station and oceanographic station Wind Data that coastland extensively distributes, launch and long-range meteorological station air speed data correlation analysis, solve the representative not enough problem of the design wind speed space distribution caused because long-range meteorological Station distribution is sparse.
Technical scheme of the present invention is: the space obtaining value method of coastland of the present invention overhead transmission line design wind speed, includes following steps:
1) Data acquisition, examination and correction;
2) coastland Characteristics of Tropical Cyclones is analyzed;
3) the theoretical wind speed of the long-range meteorological station calculates;
4) automatic weather station supplement calculation;
5) design wind speed space interpolation and optimization.
The method that the present invention proposes fully have employed oceanographic station and Data of Automatic Weather, and compared with traditional method, wind speed result of calculation of the present invention is more accurate.Main manifestations is:
1, the present invention introduces oceanographic station data and more clearly reflects that wind speed is by the trend changed upcountry along seashore;
2, the present invention introduces Data of Automatic Weather and provides more design wind speed space interpolation point, strengthens work transmission line basis meteorological data representative;
3, preferable space interpolation method of the present invention ensures rationality and the stability of design wind speed space distribution.
Accompanying drawing explanation
Fig. 1 is the total schematic diagram of design wind speed value;
Fig. 2 ~ Fig. 6 is respectively Data acquisition, examination and correction, and coastland Characteristics of Tropical Cyclones is analyzed, and the theoretical wind speed of the long-range meteorological station calculates, automatic weather station supplement calculation, design wind speed space interpolation and Optimizing Flow figure.
Embodiment
The space obtaining value method of coastland of the present invention overhead transmission line design wind speed, includes following steps:
1) Data acquisition, examination and correction;
2) coastland Characteristics of Tropical Cyclones is analyzed;
3) the theoretical wind speed of the long-range meteorological station calculates;
4) automatic weather station supplement calculation;
5) design wind speed space interpolation and optimization.
In the present embodiment, above-mentioned steps 1) Data acquisition, comprises following content:
Over the years " tropical cyclone yearbook ", national weather station Historic Evolution and maximum 10 minutes over the years mean wind speed observation datas, oceanographic station Historic Evolution and maximum 10 minutes over the years mean wind speed observation datas, region automatic weather station 10 minutes mean wind speed observation datas, different electric pressure built line project shaft tower coordinate, design wind speed, disaster caused by a windstorm accident and Fundamental Geographic Information Data.
In the present embodiment, above-mentioned steps 1) data review comprises following content: meteorological station is representative, observational data consistance and the examination of data record reliability;
The representative criterion of meteorological station is as follows:
11) national weather station and oceanographic station have more than 30 years survey wind data;
12) the Wind Data sequence of automatic Weather Station is no less than 2 years, and the percentage of head rice of mean wind speed, maximum wind velocity and extreme wind speed data sequences is greater than 95%;
13) website surrounding terrain flatness is better;
14) the open spaciousness of surrounding, neighbouring barrier is not more than 5 ° to the maximum angle of blocking surveying wind.
Observational data consistency criterion:
21) time is interrupted according to moving station and changing the information determination data such as instrument in Meteorological Station History;
22) before interruption year, the wind series of (not comprising this year) is subsequence 1, and sequence is thereafter subsequence 2.If subsequence 1 is x
1, x
2...., x
n1, subsequence 2 is y
1, y
2...., y
n2, the mean value of subsequence 1 and 2 is respectively
with
total data mean value is
so
Total data pair
sum of square of deviations be:
In above formula right-hand member bracket, quadratic sum reflects each group of data interconnects difference degree, and be called sum of square of deviations in group, above formula right-hand member the 2nd difference degree reflected between two groups of data, is called sum of square of deviations between group;
23) judge that whether group difference is remarkable, utilize the F method of inspection to carry out significance test:
Data record reliability criterion:
Pass through with the examination & verification of local meteorological department, enter meteorological system database and report the data of China Meteorological Administration to be as the criterion; Wind Data significantly bigger than normal or less than normal is analyzed, whether reliable by comparative analysis between weather system process analysis procedure analysis, the station, different meteorological element correlation analysis pending trial given data record.
In the present embodiment, above-mentioned steps 1) in data correction comprise wind speed height correct and time time convert:
Wind speed height is corrected and is adopted power exponent formula:
In formula, V is calibrated altitude wind speed, and Z is the anemoscope height recorded in Meteorological Station History, V
0for anemoscope observation wind speed, α is spacious flat country terrain rough factor, gets 0.15 by " loading code for design of building structures " (GB50009-2012);
Convert during wind speed time and adopt linear regression model (LRM):
V
10min＝aV
2min+b
31) from having wind speed from the station of note, choosing Nian Ziji 10 minutes average maximum wind velocity values respectively, and being converted to calibrated altitude, obtaining V
10minsequences y
1, y
2...., y
n;
32) from the identical time of respective station, choose timing 2 minutes average maximum wind velocity values, and be converted to calibrated altitude, obtain and y
1, y
2...., y
ncorresponding V
2minsequence x
1, x
2...., x
n;
33) constant a, b is asked according to least square method.
In the present embodiment, above-mentioned steps 2) coastland Characteristics of Tropical Cyclones analysis be the Landing Tropical Cyclone that records with " tropical cyclone yearbook " over the years for sample, analyze the year border and moon border change, space distribution and strength grading feature logging in the frequency;
Year border and intermonthly changes comprise the history Landing Tropical Cyclone sum in provincial administrative line, maximum value and minimal value and occur the time, Landing Tropical Cyclone is change curve year by year, log in frequency disribution form month by month, the whole year the earliest Landing Tropical Cyclone and the whole year statistical value such as Landing Tropical Cyclone date the latest;
Spatial distribution characteristic comprise in coastal prefecture-level city administrative line Landing Tropical Cyclone sum and ratio;
According to " tropical cyclone grade " GB/T19201-2006, classification is carried out to tropical cyclone intensity when logging in, statistics different brackets tropical cyclone sum and ratio.
In the present embodiment, above-mentioned steps 3) the theoretical wind gage of the long-range meteorological station at last with revised national weather station, oceanographic station year by year liftoff 10 meters of height 10 minutes average maximum wind velocities for sample, adopt the fitting effect better line style calculating reoccurrence period in extreme value type I and Pearson I II type probability distribution to be the theoretical wind speed of 30 years and 50 years.
In the present embodiment, above-mentioned steps 4) automatic weather station supplement calculation method is as follows:
Select the national weather station best with automatic weather station strong wind sample correlation coefficient as reference station, utilize ratioing technigue to calculate the prolongation coefficient k of each automatic weather station, calculating formula is as follows:
X in formula
ifor automatic Weather Station series, y
ifor reference station series, n is total sample number.Utilize and extend coefficient k correction, obtain and study and compare weather station all the year round for wind series A
icorresponding sequence B
i, then adopt the better line style of fitting effect in extreme value type I and Pearson I II type probability distribution to calculate the theoretical wind speed that the reoccurrence period is 30 years and 50 years.
In the present embodiment, above-mentioned steps 5) design wind speed space interpolation and optimization method as follows:
The theoretical wind speed space interpolation of national weather station, oceanographic station and automatic weather station adopts inverse distance weighted interpolation method, Cressman method of interpolation, Interpolation Property of Radial Basis Function method, Kriging method of interpolation to carry out space interpolation calculating, and recording interpolation error; Cross validation adopts ten foldings checkings, is divided into 10 groups to calculate at random by sample set, each utilize wherein 9 groups carry out space interpolation, remain 1 group and be used as checking, analyze 10 space interpolation result of calculations, select interpolation error minimum packets method.
Select the above Tropical Cyclone Landing high frequency region of typhoon and the key sections that wire breaking and tower falling accident occurred, utilize built Pre-Engineering Design of Long Distance Wind Data to check theoretical wind speed interpolation result; By adjustment space interpolation parameter (as search radius, semivariable function, range etc.), theoretical wind speed spatial distribution is optimized.
Coastland of the present invention is limited to apart from the kilometer range of shore line about 100.Namely the present invention collects national weather station, oceanographic station and automatic weather station Wind observation data and Historic Evolution in the kilometer range of coastland 100.Through weather station representativeness, observational data consistance and study and compare weather station and the automatic weather station of data record reliability examination screening for calculating.Utilize highly correct and time time convert study and compare weather station and automatic weather station source book revised.Intensity when the Tropical Cyclone Landing place that extracts " tropical cyclone yearbook " over the years logs in selected scope, login.Collect more than 110kV built line project shaft tower coordinate, design wind speed value, disaster caused by a windstorm accident data in selected scope.
According to Administrative Division for Prefec-ture-level Cities statistics Landing Tropical Cyclone frequency and intensity in selected scope.Draw the space distribution schematic diagram of all grade Tropical Cyclone Landing frequencies and the above Tropical Cyclone Landing frequency of typhoon grade.
Utilize extreme value type I and Pearson I II type probability distribution to the national weather station through revising and oceanographic station year by year liftoff 10 meters high 10 minutes average maximum wind velocity sequences carry out matching.The line style calculating reproduction of getting fitting effect more excellent is 30 years and 50 years theoretical air speed value.Calculate the prolongation coefficient of each automatic weather station, and to calculate the reoccurrence period be 30 years and 50 years theoretical air speed value.
National weather station, oceanographic station and automatic weather station are carried out to the packet of ten folding cross validations.Inverse distance weighted interpolation method, Cressman method of interpolation, Interpolation Property of Radial Basis Function method, Kriging method of interpolation is utilized to carry out space interpolation calculating respectively, and recording interpolation error.Optimum and the rational spatial interpolation methods of space distribution form of selected interpolation error is that 30 years and 50 years Theoretical Design wind speed carry out space interpolation to the meteorological station reoccurrence period.According to Tropical Cyclone Landing frequency spatial distribution map and built circuit disaster caused by a windstorm accident data, select typhoon above Tropical Cyclone Landing high frequency region to carry out theoretical wind speed with the key sections that wire breaking and tower falling accident occurred and check.According to checking result, theoretical wind speed spatial distribution figure being optimized, forming the design wind speed space distribution schematic diagram being applicable to coastal overhead transmission line engineering.
Claims (8)
1. a space obtaining value method for coastland overhead transmission line design wind speed, is characterized in that including following steps:
1) Data acquisition, examination and correction;
2) coastland Characteristics of Tropical Cyclones is analyzed;
3) the theoretical wind speed of the long-range meteorological station calculates;
4) automatic weather station supplement calculation;
5) design wind speed space interpolation and optimization.
2. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, is characterized in that above-mentioned steps 1) Data acquisition, comprises following content:
Data acquisition, comprises over the years " tropical cyclone yearbook ", national weather station Historic Evolution and maximum 10 minutes over the years mean wind speed observation datas, oceanographic station Historic Evolution and maximum 10 minutes over the years mean wind speed observation datas, region automatic weather station 10 minutes mean wind speed observation datas, different electric pressure built line project shaft tower coordinate, design wind speed, disaster caused by a windstorm accident and Fundamental Geographic Information Data.
3. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, is characterized in that above-mentioned steps 1) data review comprises following content: comprise the examination of meteorological station representativeness, observational data consistance and data record reliability;
The representative criterion of meteorological station is as follows:
11) national weather station and oceanographic station have more than 30 years survey wind data;
12) the Wind Data sequence of automatic Weather Station is no less than 2 years, and the percentage of head rice of mean wind speed, maximum wind velocity and extreme wind speed data sequences is greater than 95%;
13) website surrounding terrain flatness is better;
14) the open spaciousness of surrounding, neighbouring barrier is not more than 5 ° to the maximum angle of blocking surveying wind,
Observational data consistency criterion:
21) time is interrupted according to moving station and changing the information determination data such as instrument in Meteorological Station History;
22) before interruption year, the wind series of (not comprising this year) is subsequence 1, and sequence is thereafter subsequence 2, if subsequence 1 is x
1, x
2...., x
n1, subsequence 2 is y
1, y
2...., y
n2, the mean value of subsequence 1 and 2 is respectively
with
total data mean value is
so
Total data pair
sum of square of deviations be:
In above formula right-hand member bracket, quadratic sum reflects each group of data interconnects difference degree, and be called sum of square of deviations in group, above formula right-hand member the 2nd difference degree reflected between two groups of data, is called sum of square of deviations between group;
23) judge that whether group difference is remarkable, utilize the F method of inspection to carry out significance test:
Data record reliability criterion:
Pass through with the examination & verification of local meteorological department, enter meteorological system database and report the data of China Meteorological Administration to be as the criterion; Wind Data significantly bigger than normal or less than normal is analyzed, whether reliable by comparative analysis between weather system process analysis procedure analysis, the station, different meteorological element correlation analysis pending trial given data record.
4. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, is characterized in that above-mentioned steps 1) in data correction comprise wind speed height correct and time time convert:
Wind speed height is corrected and is adopted power exponent formula:
In formula, V is calibrated altitude wind speed, and Z is the anemoscope height recorded in Meteorological Station History, V
0for anemoscope observation wind speed, α is spacious flat country terrain rough factor, gets 0.15 by " loading code for design of building structures " (GB50009-2012);
Convert during wind speed time and adopt linear regression model (LRM):
V
10min＝aV
2min+b
31) from having wind speed from the station of note, choosing Nian Ziji 10 minutes average maximum wind velocity values respectively, and being converted to calibrated altitude, obtaining V
10minsequences y
1, y
2...., y
n;
32) from the identical time of respective station, choose timing 2 minutes average maximum wind velocity values, and be converted to calibrated altitude, obtain and y
1, y
2...., y
ncorresponding V
2minsequence x
1, x
2...., x
n;
33) constant a, b is asked according to least square method.
5. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, it is characterized in that above-mentioned steps 2) coastland Characteristics of Tropical Cyclones analysis be the Landing Tropical Cyclone that records with over the years " tropical cyclone yearbook " for sample, analyze the year border and moon border change, space distribution and strength grading feature logging in the frequency;
Year border and intermonthly changes comprise the history Landing Tropical Cyclone sum in provincial administrative line, maximum value and minimal value and occur the time, Landing Tropical Cyclone is change curve year by year, log in frequency disribution form month by month, the whole year the earliest Landing Tropical Cyclone and the whole year statistical value such as Landing Tropical Cyclone date the latest;
Spatial distribution characteristic comprise in coastal prefecture-level city administrative line Landing Tropical Cyclone sum and ratio;
According to " tropical cyclone grade " GB/T19201-2006, classification is carried out to tropical cyclone intensity when logging in, statistics different brackets tropical cyclone sum and ratio.
6. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, it is characterized in that above-mentioned steps 3) the theoretical wind gage of the long-range meteorological station at last with revised national weather station, oceanographic station year by year liftoff 10 meters of height 10 minutes average maximum wind velocities for sample, adopt the fitting effect better line style calculating reoccurrence period in extreme value type I and Pearson I II type probability distribution to be the theoretical wind speed of 30 years and 50 years.
7. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, is characterized in that above-mentioned steps 4) automatic weather station supplement calculation method is as follows:
Select the national weather station best with automatic weather station strong wind sample correlation coefficient as reference station, utilize ratioing technigue to calculate the prolongation coefficient k of each automatic weather station, calculating formula is as follows:
X in formula
ifor automatic Weather Station series, y
ifor reference station series, n is total sample number, utilizes and extends coefficient k correction, obtain and study and compare weather station all the year round for wind series A
icorresponding sequence B
i, then adopt the better line style of fitting effect in extreme value type I and Pearson I II type probability distribution to calculate the theoretical wind speed that the reoccurrence period is 30 years and 50 years.
8. the space obtaining value method of coastland according to claim 1 overhead transmission line design wind speed, is characterized in that above-mentioned steps 5) design wind speed space interpolation and optimization method as follows:
The theoretical wind speed space interpolation of national weather station, oceanographic station and automatic weather station adopts inverse distance weighted interpolation method, Cressman method of interpolation, Interpolation Property of Radial Basis Function method, Kriging method of interpolation to carry out space interpolation calculating, and recording interpolation error; Cross validation adopts ten foldings checkings, is divided into 10 groups to calculate at random by sample set, each utilize wherein 9 groups carry out space interpolation, remain 1 group and be used as checking, analyze 10 space interpolation result of calculations, select interpolation error minimum packets method;
Select the above Tropical Cyclone Landing high frequency region of typhoon and the key sections that wire breaking and tower falling accident occurred, utilize built Pre-Engineering Design of Long Distance Wind Data to check theoretical wind speed interpolation result; By adjustment space interpolation parameter, theoretical wind speed spatial distribution is optimized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510007103.5A CN104573363B (en) | 2015-01-05 | 2015-01-05 | A kind of space obtaining value method of coastal area overhead transmission line design wind speed |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510007103.5A CN104573363B (en) | 2015-01-05 | 2015-01-05 | A kind of space obtaining value method of coastal area overhead transmission line design wind speed |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104573363A true CN104573363A (en) | 2015-04-29 |
| CN104573363B CN104573363B (en) | 2018-02-13 |
Family
ID=53089409
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510007103.5A Active CN104573363B (en) | 2015-01-05 | 2015-01-05 | A kind of space obtaining value method of coastal area overhead transmission line design wind speed |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104573363B (en) |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184041A (en) * | 2015-07-09 | 2015-12-23 | 广西电网有限责任公司电力科学研究院 | Spline interpolation analysis method of power transmission line meteorological characteristics |
| CN105260586A (en) * | 2015-08-07 | 2016-01-20 | 中国南方电网有限责任公司电网技术研究中心 | Automatic meteorological station wind speed data processing method aiming at overhead transmission line |
| CN105675049A (en) * | 2015-12-30 | 2016-06-15 | 浙江海洋学院 | Sea-island environment health monitoring method |
| CN105891537A (en) * | 2016-06-30 | 2016-08-24 | 广东电网有限责任公司电力科学研究院 | Wind speed monitoring method, device and system of pole towers of power transmission line |
| CN108363882A (en) * | 2018-03-06 | 2018-08-03 | 中国能源建设集团江苏省电力设计院有限公司 | A kind of mountain area Transmission Line Design wind speed projectional technique based on power NO emissions reduction pattern |
| CN108415105A (en) * | 2018-01-23 | 2018-08-17 | 南京信息工程大学 | A kind of method of inspection for observing ground weather station relative humidity numerical value |
| CN108665517A (en) * | 2018-05-18 | 2018-10-16 | 南方电网科学研究院有限责任公司 | Power grid wind speed profile figure, which is repaiied, compiles method, apparatus, equipment and medium |
| CN109035361A (en) * | 2018-05-28 | 2018-12-18 | 南方电网科学研究院有限责任公司 | Power grid wind speed profile drawing drawing method, device, equipment and medium |
| CN109063939A (en) * | 2018-11-01 | 2018-12-21 | 华中科技大学 | A kind of wind speed forecasting method and system based on neighborhood door shot and long term memory network |
| CN109766637A (en) * | 2019-01-12 | 2019-05-17 | 太原科技大学 | Bridge crane structural optimization based on reliability method based on Krigng agent model |
| CN110208884A (en) * | 2019-07-08 | 2019-09-06 | 山东省气象局大气探测技术保障中心 | A kind of boat-carrying automatic weather station test appraisal procedure |
| CN110263369A (en) * | 2019-05-10 | 2019-09-20 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Building surface wind resistance grade design method based on climatic analysis and numerical simulation |
| CN110334406A (en) * | 2019-06-11 | 2019-10-15 | 中国能源建设集团江苏省电力设计院有限公司 | It is a kind of consider the especially big value of wind speed the Maximum wind speed return period determine method and apparatus |
| CN111523087A (en) * | 2020-04-10 | 2020-08-11 | 北京航空航天大学 | Typhoon intensity long-term change trend analysis method |
| CN111984910A (en) * | 2020-08-17 | 2020-11-24 | 国家气象信息中心 | Method for calculating wind speed 30s before second-level sounding and testing effect |
| CN111985160A (en) * | 2020-08-20 | 2020-11-24 | 重庆大学 | Overhead distribution line reinforcement planning method in typhoon weather |
| CN112258853A (en) * | 2020-10-19 | 2021-01-22 | 洛阳云感科技有限公司 | Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous |
| CN112291211A (en) * | 2015-10-08 | 2021-01-29 | 新模范集团有限责任公司 | Methods, systems, and media for managing wind speed data |
| CN112417638A (en) * | 2020-09-04 | 2021-02-26 | 浙江省气象科学研究所 | Strong wind fine analysis method for overhead transmission line in offshore area |
| CN112507633A (en) * | 2020-12-03 | 2021-03-16 | 广东电网有限责任公司电力科学研究院 | Method and system for predicting and early warning wind speed of transmission tower |
| US11460592B2 (en) | 2015-10-08 | 2022-10-04 | New Paradigm Group, Llc | Methods, systems, and media for managing wind speed data, seismic data and other natural phenomena data |
-
2015
- 2015-01-05 CN CN201510007103.5A patent/CN104573363B/en active Active
Non-Patent Citations (6)
| Title |
|---|
| 国家环境保护局开发监督司: "《环境影响评价技术原则与方法》", 29 February 1992, 北京大学出版社 * |
| 张晓东: "《输变电工程选址选线》", 31 July 2012, 中国水利水电出版社 * |
| 李关强: "气象站大风资料的三性分析", 《低碳世界》 * |
| 王勇 等: "权重对空间插值方法的影响分析", 《湖南科技大学学报（自然科学版）》 * |
| 许向春 等: "登陆中国不同强度热带气旋的变化特征", 《热带气象学报》 * |
| 赵建华 等: "架空输电线路设计风速取值分析", 《电力勘测设计》 * |
Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184041A (en) * | 2015-07-09 | 2015-12-23 | 广西电网有限责任公司电力科学研究院 | Spline interpolation analysis method of power transmission line meteorological characteristics |
| CN105260586A (en) * | 2015-08-07 | 2016-01-20 | 中国南方电网有限责任公司电网技术研究中心 | Automatic meteorological station wind speed data processing method aiming at overhead transmission line |
| US11460592B2 (en) | 2015-10-08 | 2022-10-04 | New Paradigm Group, Llc | Methods, systems, and media for managing wind speed data, seismic data and other natural phenomena data |
| CN112291211B (en) * | 2015-10-08 | 2023-05-30 | 新模范集团有限责任公司 | Method, system and medium for managing wind speed data |
| US11703606B2 (en) | 2015-10-08 | 2023-07-18 | New Paradigm Group, Llc | Methods, systems, and media for managing wind speed data, seismic data and other parametric data |
| US11960041B2 (en) | 2015-10-08 | 2024-04-16 | New Paradigm Group, Llc | Methods, systems, and media for managing wind speed data, seismic data and other parametric data |
| CN112291211A (en) * | 2015-10-08 | 2021-01-29 | 新模范集团有限责任公司 | Methods, systems, and media for managing wind speed data |
| CN105675049A (en) * | 2015-12-30 | 2016-06-15 | 浙江海洋学院 | Sea-island environment health monitoring method |
| CN105891537B (en) * | 2016-06-30 | 2019-06-28 | 广东电网有限责任公司电力科学研究院 | A kind of the air monitoring method, apparatus and system of electric power line pole tower |
| CN105891537A (en) * | 2016-06-30 | 2016-08-24 | 广东电网有限责任公司电力科学研究院 | Wind speed monitoring method, device and system of pole towers of power transmission line |
| CN108415105A (en) * | 2018-01-23 | 2018-08-17 | 南京信息工程大学 | A kind of method of inspection for observing ground weather station relative humidity numerical value |
| CN108415105B (en) * | 2018-01-23 | 2020-07-31 | 南京信息工程大学 | Method for inspecting relative humidity value observed by ground meteorological observation station |
| CN108363882B (en) * | 2018-03-06 | 2021-10-15 | 中国能源建设集团江苏省电力设计院有限公司 | Mountain area power transmission line design wind speed calculation method based on power downscaling mode |
| CN108363882A (en) * | 2018-03-06 | 2018-08-03 | 中国能源建设集团江苏省电力设计院有限公司 | A kind of mountain area Transmission Line Design wind speed projectional technique based on power NO emissions reduction pattern |
| CN108665517B (en) * | 2018-05-18 | 2022-03-15 | 南方电网科学研究院有限责任公司 | Power grid wind speed distribution diagram repairing and editing method, device, equipment and medium |
| CN108665517A (en) * | 2018-05-18 | 2018-10-16 | 南方电网科学研究院有限责任公司 | Power grid wind speed profile figure, which is repaiied, compiles method, apparatus, equipment and medium |
| CN109035361B (en) * | 2018-05-28 | 2023-04-21 | 南方电网科学研究院有限责任公司 | Method, device, equipment and medium for drawing wind speed distribution diagram of power grid |
| CN109035361A (en) * | 2018-05-28 | 2018-12-18 | 南方电网科学研究院有限责任公司 | Power grid wind speed profile drawing drawing method, device, equipment and medium |
| CN109063939B (en) * | 2018-11-01 | 2020-08-18 | 华中科技大学 | Wind speed prediction method and system based on neighborhood gate short-term memory network |
| CN109063939A (en) * | 2018-11-01 | 2018-12-21 | 华中科技大学 | A kind of wind speed forecasting method and system based on neighborhood door shot and long term memory network |
| CN109766637A (en) * | 2019-01-12 | 2019-05-17 | 太原科技大学 | Bridge crane structural optimization based on reliability method based on Krigng agent model |
| CN109766637B (en) * | 2019-01-12 | 2022-06-10 | 太原科技大学 | Bridge crane structure reliability optimization method based on Krigng agent model |
| CN110263369B (en) * | 2019-05-10 | 2023-12-29 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Building surface wind resistance grade design method based on climate analysis and numerical simulation |
| CN110263369A (en) * | 2019-05-10 | 2019-09-20 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Building surface wind resistance grade design method based on climatic analysis and numerical simulation |
| CN110334406B (en) * | 2019-06-11 | 2022-06-07 | 中国能源建设集团江苏省电力设计院有限公司 | Extreme value wind speed recurrence period determination method and device considering wind speed oversize value |
| CN110334406A (en) * | 2019-06-11 | 2019-10-15 | 中国能源建设集团江苏省电力设计院有限公司 | It is a kind of consider the especially big value of wind speed the Maximum wind speed return period determine method and apparatus |
| CN110208884B (en) * | 2019-07-08 | 2021-03-30 | 山东省气象局大气探测技术保障中心 | Shipborne automatic weather station test evaluation method |
| CN110208884A (en) * | 2019-07-08 | 2019-09-06 | 山东省气象局大气探测技术保障中心 | A kind of boat-carrying automatic weather station test appraisal procedure |
| CN111523087A (en) * | 2020-04-10 | 2020-08-11 | 北京航空航天大学 | Typhoon intensity long-term change trend analysis method |
| CN111984910A (en) * | 2020-08-17 | 2020-11-24 | 国家气象信息中心 | Method for calculating wind speed 30s before second-level sounding and testing effect |
| CN111984910B (en) * | 2020-08-17 | 2024-02-09 | 国家气象信息中心 | Method for calculating wind speed and checking effect of 30s before second-level sounding |
| CN111985160A (en) * | 2020-08-20 | 2020-11-24 | 重庆大学 | Overhead distribution line reinforcement planning method in typhoon weather |
| CN111985160B (en) * | 2020-08-20 | 2024-01-02 | 重庆大学 | Overhead distribution line reinforcement planning method in typhoon weather |
| CN112417638A (en) * | 2020-09-04 | 2021-02-26 | 浙江省气象科学研究所 | Strong wind fine analysis method for overhead transmission line in offshore area |
| CN112258853A (en) * | 2020-10-19 | 2021-01-22 | 洛阳云感科技有限公司 | Chain visibility monitoring and early warning system in highway fog zone becomes more meticulous |
| CN112507633B (en) * | 2020-12-03 | 2022-02-15 | 广东电网有限责任公司电力科学研究院 | Method and system for predicting and early warning wind speed of transmission tower |
| CN112507633A (en) * | 2020-12-03 | 2021-03-16 | 广东电网有限责任公司电力科学研究院 | Method and system for predicting and early warning wind speed of transmission tower |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104573363B (en) | 2018-02-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104573363A (en) | Spatial valuing method of design air speed of overhead transmission line of coastal region | |
| Haiden et al. | Evaluation of ECMWF forecasts, including the 2018 upgrade | |
| CN110427857B (en) | Power transmission line geological disaster analysis method based on remote sensing data fusion | |
| Perry et al. | The development of a new set of long‐term climate averages for the UK | |
| CN105095589B (en) | A kind of mountain area power grid wind area is distributed drawing drawing method | |
| Westerberg et al. | Precipitation data in a mountainous catchment in Honduras: quality assessment and spatiotemporal characteristics | |
| Nezhad et al. | Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands | |
| Nottrott et al. | Validation of the NSRDB–SUNY global horizontal irradiance in California | |
| Mandement et al. | Contribution of personal weather stations to the observation of deep-convection features near the ground | |
| Wei et al. | Onshore-offshore wind energy resource evaluation based on synergetic use of multiple satellite data and meteorological stations in Jiangsu Province, China | |
| Clark et al. | Fine‐scale analysis of a severe hailstorm using crowd‐sourced and conventional observations | |
| Horel et al. | An evaluation of the distribution of Remote Automated Weather Stations (RAWS) | |
| Larsén et al. | Estimation of offshore extreme wind from wind‐wave coupled modeling | |
| CN105741037A (en) | Typhoon disaster assessment system | |
| CN109001846A (en) | A kind of MODEL OVER COMPLEX TOPOGRAPHY rains S-band and method is surveyed in X-band radar networking | |
| CN104200082A (en) | Typhoon landing prediction method | |
| Zhong et al. | Application of the Doppler weather radar in real-time quality control of hourly gauge precipitation in eastern China | |
| Niu et al. | Assessing heavy precipitation risk associated with tropical cyclones in China | |
| CN103617452B (en) | A kind of photometry network layout method in large-scale photovoltaic base area | |
| Manni et al. | Solar energy digitalization at high latitudes: A model chain combining solar irradiation models, a LiDAR scanner, and high-detail 3D building model | |
| CN111292018B (en) | City vulnerability model construction method | |
| Perry et al. | The generation of monthly gridded datasets for a range of climatic variables over the United Kingdom | |
| Pentikäinen et al. | Evaluating wind profiles in a numerical weather prediction model with Doppler lidar | |
| CN112632799A (en) | Method and device for valuing design wind speed of power transmission line | |
| Li et al. | Evaluation of ICESat-2 Significant Wave Height Data with Buoy Observations in the Great Lakes and Application in Examination of Wave Model Predictions |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |