CN103018793A - Cloud early warning system and method of wires under extreme meteorological conditions - Google Patents
Cloud early warning system and method of wires under extreme meteorological conditions Download PDFInfo
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- CN103018793A CN103018793A CN2012105153748A CN201210515374A CN103018793A CN 103018793 A CN103018793 A CN 103018793A CN 2012105153748 A CN2012105153748 A CN 2012105153748A CN 201210515374 A CN201210515374 A CN 201210515374A CN 103018793 A CN103018793 A CN 103018793A
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Abstract
The invention discloses a cloud early warning system and a method of wires under extreme meteorological conditions. The method includes setting front-end systems on each pylon, setting a vibrating sensor and a meteorological sensor in each front-end system, obtaining vibrating parameters and micro meteorological data around the wires, and transmitting test data of the front-end systems to a remote monitoring system through a communication system; performing grid division on a wire corridor by using the terrain where the wire is located, and obtaining the wind speed distribution of the wire corridor at the forecast moment through combining obtained micro meteorological data with macro weather forecast and calculating a computational fluid dynamics (CFD) model; and obtaining static and dynamic response and ice and snow accumulation conditions of the wires at the forecast moment through a finite element model database of the wire system and combining the obtained wind speed distribution of the wire corridor at the forecast moment. By means of the cloud early warning system and the method, meteorological data of positions where wire system corridors are located in the future can be forecasted accurately, wind, ice and snow resistant capacities of the wire system under meteorological conditions can be simulated, and therefore the early warning effect is achieved.
Description
Technical field
The present invention relates to a kind of monitoring system of stringing, relate in particular to a kind of system that can carry out for extreme meteorological condition early warning to the situation of the stringings such as Transmission Tower-line.
Background technology
Because extreme weather condition takes place frequently, repeatedly lodging accident occurs in the Transmission Tower-line system in recent years.For example, in May, 2005, Qinghai Province's storm wind causes 330 kilovolts of electric transmission pole towers to collapse; In June, 2009, Jiangsu thunderstorm strong wind causes 500 kilovolts electric transmission pole tower lodging, makes ability to transmit electricity descend 700,000 kilowatts; At the beginning of 2008, selected areas of China meets with especially big snow disaster, the lodging of electrical network many places electric power pylon.These accidents have caused very large loss for national economy and people's life.Except the Transmission Tower-line system, also there is similar problem in the system that other aerial wire laying system such as the communications cable, aerial earth wire, tension lines etc. contain supporting construction.
For the problems referred to above, in recent years, some have occurred and Transmission Tower-line has been carried out the method and system of online observation.For example, Chinese invention patent CN101979974A discloses a kind of electric transmission pole tower whole audience stress monitoring method, set up electric transmission pole tower high-fidelity finite element model, at electric transmission pole tower GPS is installed, by obtaining the gps data under the duty, use the attitude solution technique to obtain the electric transmission pole tower attitude data, the structural static equation that substitution is set up according to electric transmission pole tower high-fidelity finite element model obtains the whole audience stress under the duty.The method can only be obtained the stress situation of electric transmission pole tower.Chinese utility model patent CN201289391Y discloses a kind of electric transmission pole tower ambient vibration state on_line monitoring and Wireless Long-range Transmission System, comprise collection in worksite station and main website, described collection in worksite station comprises signal condition instrument, capture card, industrial control computer and wireless network card, vibration transducer is connected with capture card by the signal condition instrument, wind speed wind direction sensor and humidity temperature pickup are connected on the capture card, described capture card is connected with industrial control computer, also is connected with wireless network card on industrial control computer; Described main website comprises interconnective receive data by wireless system and data analysis register system.By the collection in worksite station is set multiple transducing signal is delivered in the main website of far-end, is convenient to carry out the data analysis record, for the long-term behaviour Gernral Check-up of electric transmission pole tower provides foundation.
But existing this class Transmission Tower-line online observation system is merely able to the existing duty of real-time report electric transmission pole tower, can not reach the effect that gives warning in advance; Simultaneously owing to lacking the on-site weather forecast of Transmission Tower-line, can't Accurate Prediction the wind speed in future, the weather datas such as temperature, thereby the anti-disaster ability of unpredictable this Transmission Tower-line.
Summary of the invention
Goal of the invention of the present invention provides cloud early warning system and the cloud method for early warning of the stringing under a kind of extreme meteorological condition, so that wind resistance, the anti-ice-snow ability of stringing under extreme meteorological condition predicted, reaches the early warning effect.
To achieve the above object of the invention, the technical solution used in the present invention is: the cloud early warning system of the stringing under a kind of extreme meteorological condition, comprise online monitoring modular, described on-line monitoring module is made of the front end system and the remote supervision system that are arranged on each stringing tower, front end system is connected with remote supervision system and is connected through communication system, be provided with vibration transducer and meteorological sensor in the described front end system, also be provided with the early warning system that is consisted of by wind speed simulation computing module and cloud expert system module, described wind speed simulation computing module carries out grid with the region of calculating by the stringing corridor and divides, microclimate data and the macroweather forecast returned in conjunction with the meteorological sensor of online monitoring modular, by the calculating of turbulence model, obtain the wind speed profile in prediction stringing corridor constantly; Include Data of Finite Element Model storehouse and the expert module of stringing system in the described cloud expert system module, described expert module utilizes the Data of Finite Element Model storehouse in conjunction with the wind speed profile in the prediction stringing corridor constantly of wind speed simulation computing module acquisition, draws quiet dynamic response and the accumulated ice snow situation of prediction stringing constantly.
In the technique scheme, be provided with stringing health account database in the described cloud expert system module.Because daily Gernral Check-up having been arranged, so can carry out daily maintenance to the stringing system, upgrade simultaneously relevant Data of Finite Element Model storehouse, guarantee the authenticity of the information of database.
The cloud method for early warning of the stringing under a kind of extreme meteorological condition, at each stringing tower front end system is set, vibration transducer and meteorological sensor are set in front end system, obtain the vibration parameters of stringing by vibration transducer, obtain stringing microclimate data on every side by meteorological sensor, utilize communication system that the detection data of front end system are sent to remote supervision system; Utilize the residing landform of stringing, grid is carried out in the stringing corridor divide, in conjunction with the microclimate data that obtain and macroweather forecast, by the calculating of computational fluid dynamics (CFD) model, obtain the wind speed profile in prediction stringing corridor constantly; By the Data of Finite Element Model storehouse of stringing system, in conjunction with the wind speed profile in the prediction that obtains stringing corridor constantly, draw quiet dynamic response and the accumulated ice snow situation of prediction stringing constantly.
In the technique scheme, the calculating of the wind speed profile in stringing corridor can be set up the CFD model with finite volume method and be obtained.Can obtain the data of the topography and geomorphology of stringing region by Geographic Information System (GIS), set up the complicated wind field turbulence model in stringing zone, obtain the wind speed profile in stringing corridor.
The quiet dynamic response of stringing can calculate with finite element, and accumulated ice snow situation can obtain in conjunction with the particle model simulation with the solid coupling model of stream.
In the technique scheme, can pass result data back terminal system by the cloud platform in real time, in time issue early warning information.This module has health diagnosis function simultaneously, can be regularly function by model analysis, wavelet analysis the Monitoring Data that on-line monitoring system obtains is combined with theoretical analysis, carry out Gernral Check-up, set up the health account database.
Can also give the customization user simultaneously, provide by note and mail Warning Service is provided.
Because technique scheme is used, the present invention compared with prior art has following advantages:
The present invention is by real-time weather data, by the cloud expert system, can accurate forecast the weather data of position at place, stringing system corridor in future, simulate wind resistance, the anti-ice-snow ability of this stringing system under this meteorological condition, thereby reach the early warning effect.This system has health diagnosis system simultaneously, by expert diagnostic system, the stringing system is carried out regular Gernral Check-up, and sets up the associated profiles database.This system carries out gridding with the position of stringing by trend, by the weather forecast of observatory and the meteorological sensor of online observation system, obtain the accurately wind speed profile in the future of stringing system in conjunction with hydromechanical calculating, as boundary condition, the system of expert software of input wind resistance, anti-ice-snow analyzes, and reaches the purpose of early warning.Because this system builds on the cloud platform, the user can be like a cork by mobile Internet and internet access, and the user does not need to have professional knowledge as long as the numbering of this stringing of input just can obtain early warning result and Gernral Check-up result.
Description of drawings
Fig. 1 is the schematic block diagram of embodiment.
Embodiment
The invention will be further described below in conjunction with drawings and Examples:
Embodiment one: referring to shown in Figure 1, the cloud early warning system of the stringing under a kind of extreme meteorological condition comprises:
(1) on-line monitoring module
This modular system has vibration transducer (obtaining the vibration parameters of power transmission line), and front end system and remote supervision system that meteorological sensor (obtaining stringing microclimate parameter on every side) consists of consist of.
(2) wind speed simulation computing module
This module is utilized the residing landform of stringing, required arbitrarily grid is carried out in the stringing corridor divide, and microclimate data and macroweather forecast in conjunction with the online observation module obtains by the calculating of turbulence model, obtain the wind speed profile in the stringing corridor of random time.
(3) cloud expert system module
This module has the Data of Finite Element Model storehouse of stringing system, in conjunction with wind speed, can calculate quiet dynamic response and the accumulated ice snow situation of the stringing of any time, and can pass result data back terminal system by the cloud platform in real time, in time issues early warning information.This module has health diagnosis function simultaneously, can be regularly function by model analysis, wavelet analysis the Monitoring Data that on-line monitoring system obtains is combined with theoretical analysis, carry out Gernral Check-up, set up the health account database.
The implementation step comprises:
1, sets up the finite element database of Transmission Tower-line System
2, set up the health account storehouse of Transmission Tower-line System
3, the terrain data with Transmission Tower-line System corridor GIS imports the CFD module, consist of the CFD model in power transmission line corridor, with the wind speed (any time) of the weather warning inlet velocity as this model, (any time) wind speed profile in prediction Transmission Tower-line System corridor.
4, with the wind speed profile of trying to achieve, to convert and be wind load, the substitution finite element analysis module is carried out the Dynamic Response, obtains the stress and strain of Transmission Tower-line System etc.
5, according to the compare of analysis of design load after, send early warning information.
Claims (4)
1. the cloud early warning system of the stringing under the extreme meteorological condition, comprise online monitoring modular, described on-line monitoring module is made of the front end system and the remote supervision system that are arranged on each stringing tower, front end system is connected with remote supervision system and is connected through communication system, it is characterized in that: be provided with vibration transducer and meteorological sensor in the described front end system, also be provided with the early warning system that is consisted of by wind speed simulation computing module and cloud expert system module, described wind speed simulation computing module carries out grid with the region of calculating by the stringing corridor and divides, microclimate data and the macroweather forecast returned in conjunction with the meteorological sensor of online monitoring modular, by the calculating of turbulence model, obtain the wind speed profile in prediction stringing corridor constantly; Include Data of Finite Element Model storehouse and the expert module of stringing system in the described cloud expert system module, described expert module utilizes the Data of Finite Element Model storehouse in conjunction with the wind speed profile in the prediction stringing corridor constantly of wind speed simulation computing module acquisition, draws quiet dynamic response and the accumulated ice snow situation of prediction stringing constantly.
2. the cloud early warning system of the stringing under the extreme meteorological condition according to claim 1 is characterized in that: be provided with Transmission Tower-line health account database in the described cloud expert system module.
3. the cloud method for early warning of the stringing under the extreme meteorological condition, it is characterized in that: at each stringing tower front end system is set, vibration transducer and meteorological sensor are set in front end system, obtain the vibration parameters of stringing by vibration transducer, obtain stringing microclimate data on every side by meteorological sensor, utilize communication system that the detection data of front end system are sent to remote supervision system; Utilize the residing landform of stringing, grid is carried out in the stringing corridor divide, in conjunction with the microclimate data that obtain and macroweather forecast, by the calculating of computational fluid dynamics model, obtain the wind speed profile in prediction stringing corridor constantly; By the Data of Finite Element Model storehouse of stringing system, in conjunction with the wind speed profile in the prediction that obtains stringing corridor constantly, draw quiet dynamic response and the accumulated ice snow situation of prediction stringing constantly.
4. the cloud method for early warning of the stringing under the extreme meteorological condition according to claim 3, it is characterized in that: the data of obtaining the topography and geomorphology of stringing region by Geographic Information System, set up the complicated wind field turbulence model in stringing zone, obtain the wind speed profile in stringing corridor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201210515374.8A CN103018793B (en) | 2012-12-05 | 2012-12-05 | Cloud early warning system and method of wires under extreme meteorological conditions |
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| CN201210515374.8A CN103018793B (en) | 2012-12-05 | 2012-12-05 | Cloud early warning system and method of wires under extreme meteorological conditions |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117804A (en) * | 2015-09-11 | 2015-12-02 | 国家电网公司 | Ground cooling water prediction method based on rainfall particle phase transition process |
| CN109959820A (en) * | 2017-12-24 | 2019-07-02 | 广州奈英科技有限公司 | Monitor the intelligent Detection and its method of steel tower real-time status |
| CN112540165A (en) * | 2020-12-04 | 2021-03-23 | 广东电网有限责任公司 | Water and soil loss early warning system and method |
| CN112987131A (en) * | 2021-01-29 | 2021-06-18 | 重庆市气象台 | Method and system for forecasting cloud sea landscape |
| CN115765158A (en) * | 2022-10-28 | 2023-03-07 | 国网四川省电力公司攀枝花供电公司 | GIS-based power grid disaster monitoring and early warning system |
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| JPH09243757A (en) * | 1996-03-13 | 1997-09-19 | Tokyo Electric Power Co Inc:The | Transmission line snow damage alarm system |
| CN201289391Y (en) * | 2008-09-03 | 2009-08-12 | 江苏省电力试验研究院有限公司 | On-line monitoring and wireless telemetering system for power transmission tower circumstance vibrational state |
| CN101979974A (en) * | 2010-09-07 | 2011-02-23 | 东南大学 | Method for monitoring full-court stress of power transmission tower |
| CN102254061A (en) * | 2011-06-09 | 2011-11-23 | 山东电力研究院 | Finite element modeling and bearing method for line-tower coupling system of power transmission tower |
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2012
- 2012-12-05 CN CN201210515374.8A patent/CN103018793B/en not_active Expired - Fee Related
Patent Citations (4)
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|---|---|---|---|---|
| JPH09243757A (en) * | 1996-03-13 | 1997-09-19 | Tokyo Electric Power Co Inc:The | Transmission line snow damage alarm system |
| CN201289391Y (en) * | 2008-09-03 | 2009-08-12 | 江苏省电力试验研究院有限公司 | On-line monitoring and wireless telemetering system for power transmission tower circumstance vibrational state |
| CN101979974A (en) * | 2010-09-07 | 2011-02-23 | 东南大学 | Method for monitoring full-court stress of power transmission tower |
| CN102254061A (en) * | 2011-06-09 | 2011-11-23 | 山东电力研究院 | Finite element modeling and bearing method for line-tower coupling system of power transmission tower |
Non-Patent Citations (1)
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| 唐振兴: "高耸通信塔抗风性能分析", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117804A (en) * | 2015-09-11 | 2015-12-02 | 国家电网公司 | Ground cooling water prediction method based on rainfall particle phase transition process |
| CN109959820A (en) * | 2017-12-24 | 2019-07-02 | 广州奈英科技有限公司 | Monitor the intelligent Detection and its method of steel tower real-time status |
| CN112540165A (en) * | 2020-12-04 | 2021-03-23 | 广东电网有限责任公司 | Water and soil loss early warning system and method |
| CN112987131A (en) * | 2021-01-29 | 2021-06-18 | 重庆市气象台 | Method and system for forecasting cloud sea landscape |
| CN112987131B (en) * | 2021-01-29 | 2023-08-08 | 重庆市气象台 | Cloud sea landscape forecasting method and system |
| CN115765158A (en) * | 2022-10-28 | 2023-03-07 | 国网四川省电力公司攀枝花供电公司 | GIS-based power grid disaster monitoring and early warning system |
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Granted publication date: 20150121 Termination date: 20211205 |