CN103018793B - 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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- CN103018793B CN103018793B CN201210515374.8A CN201210515374A CN103018793B CN 103018793 B CN103018793 B CN 103018793B CN 201210515374 A CN201210515374 A CN 201210515374A CN 103018793 B CN103018793 B CN 103018793B
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- 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
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
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, particularly relate to a kind of system can carrying out early warning for extreme meteorological condition to the situation of the stringings such as Transmission Tower-line.
Background technology
In recent years because extreme weather condition takes place frequently, there is repeatedly lodging accident in Transmission Tower-line system.Such as, in May, 2005, Qinghai Province's storm wind causes 330 kilovolts of electric transmission pole towers to collapse; In June, 2009, Jiangsu thunderstorm gale causes the electric transmission pole tower of 500 kilovolts to lodge, and makes ability to transmit electricity decline 700,000 kilowatts; At the beginning of 2008, selected areas of China meets with especially big snow disaster, and electrical network many places electric power pylon lodges.These accidents, cause very large loss to national economy and people's life.Except Transmission Tower-line system, also there is similar problem in the system that other aerial wire laying system contains supporting construction as the communications cable, aerial earth wire, tension lines etc.
For the problems referred to above, in recent years, occurred that some carry out the method and system of online observation to Transmission Tower-line.Such as, 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, GPS installed by electric transmission pole tower, by obtaining the gps data under duty, use attitude solution technique to obtain electric transmission pole tower attitude data, substitute into the structural static equation set up according to electric transmission pole tower high-fidelity finite element model, obtain the whole audience stress under duty.The method can only obtain 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 signal condition instrument, wind speed wind direction sensor and humidity temperature pickup are connected on capture card, described capture card is connected with industrial control computer, and industrial control computer is also connected with wireless network card; Described main website comprises interconnective receive data by wireless system and data analysis register system.By arranging collection in worksite station, multiple transducing signal being delivered in the main website of far-end, being convenient to carry out data analysis record, for the long-term behaviour Gernral Check-up of electric transmission pole tower provides foundation.
But existing this kind of 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 given warning in advance; Meanwhile, owing to lacking Transmission Tower-line on-site weather forecast, cannot the wind speed in Accurate Prediction future, the weather datas such as temperature, thus the anti-disaster ability of this Transmission Tower-line unpredictable.
Summary of the invention
Goal of the invention of the present invention is to provide cloud early warning system and the cloud method for early warning of the stringing under a kind of extreme meteorological condition, to predict the wind resistance of stringing under extreme meteorological condition, anti-ice-snow ability, reaches 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 up of the front end system be arranged on each stringing tower and remote supervision system, be connected through communication system between front end system with remote supervision system, vibration transducer and meteorological sensor is provided with in described front end system, also be provided with the early warning system be made up of wind speed simulation computing module and cloud expert system module, stress and strain model is carried out by stringing corridor in the region of calculating by described wind speed simulation computing module, the microclimate data returned in conjunction with the meteorological sensor of online monitoring modular and macroweather forecast, by the calculating of turbulence model, obtain the wind speed profile in the stringing corridor in prediction moment, Data of Finite Element Model storehouse and the expert module of stringing system is included in described cloud expert system module, the wind speed profile in the stringing corridor in the prediction moment that described expert module utilizes Data of Finite Element Model storehouse to obtain in conjunction with wind speed simulation computing module, draws quiet dynamic response and the accumulated ice snow situation of the stringing in prediction moment.
In technique scheme, in described cloud expert system module, be provided with stringing health account database.Owing to there being daily Gernral Check-up, so daily maintenance can be carried out to stringing system, upgrade correlated finite element model database simultaneously, guarantee the authenticity of the information of database.
The cloud method for early warning of the stringing under a kind of extreme meteorological condition, each stringing tower arranges front end system, vibration transducer and meteorological sensor are set in front end system, the vibration parameters of stringing is obtained by vibration transducer, obtain the microclimate data around stringing by meteorological sensor, utilize communication system that the detection data of front end system are sent to remote supervision system; Utilize the landform residing for stringing, stress and strain model is carried out in stringing corridor, in conjunction with the microclimate data obtained and macroweather forecast, by the calculating of computational fluid dynamics (CFD) model, obtain the wind speed profile in the stringing corridor in prediction moment; By the Data of Finite Element Model storehouse of stringing system, in conjunction with the wind speed profile in the stringing corridor in the prediction moment obtained, draw quiet dynamic response and the accumulated ice snow situation of the stringing in prediction moment.
In technique scheme, the calculating of the wind speed profile in stringing corridor can be set up CFD model with finite volume method and be obtained.The data of the topography and geomorphology of stringing region can be obtained by Geographic Information System (GIS), set up the complicated wind field turbulence model in stringing region, obtain the wind speed profile in stringing corridor.
The quiet dynamic response of stringing can calculate by finite element, and accumulated ice snow situation can obtain in conjunction with particle model simulation with fluid structure interaction mode.
In technique scheme, result data can be passed back terminal system by cloud platform in real time, issue early warning information in time.This module has health diagnosis function simultaneously, regularly the Monitoring Data that on-line monitoring system obtains can be combined with theoretical analysis by the function of model analysis, wavelet analysis, carry out Gernral Check-up, set up health account database.
Can also customized user be given simultaneously, provide and provide Warning Service by note and mail.
Because technique scheme is used, the present invention compared with prior art has following advantages:
The present invention by real-time weather data, by cloud expert system, can the weather data of position at place, stringing system corridor in accurate forecast future, simulate the wind resistance of this stringing system under this meteorological condition, anti-ice-snow ability, thus reach early warning effect.This system has health diagnosis system simultaneously, by expert diagnostic system, carries out regular health diagnosis to stringing system, and sets up associated profiles database.Gridding is carried out by trend in the position of stringing by this system, by the weather forecast of observatory and the meteorological sensor of online observation system, in conjunction with the hydromechanical wind speed profile accurately calculating the future obtaining stringing system, as boundary condition, the expert software system of input wind resistance, anti-ice-snow is analyzed, and reaches the object of early warning.Because this system builds on cloud platform, user can easily pass mobile Internet and internet access, as long as user inputs the numbering of this stringing, just can obtain early warning result and Gernral Check-up result, not need to have professional knowledge.
Accompanying drawing explanation
Fig. 1 is the schematic block diagram of embodiment.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described:
Embodiment one: shown in Figure 1, the cloud early warning system of the stringing under a kind of extreme meteorological condition, comprising:
(1) on-line monitoring module
This modular system has vibration transducer (obtaining the vibration parameters of power transmission line), and the front end system that meteorological sensor (obtaining the microclimate parameter around stringing) is formed and remote supervision system are formed.
(2) wind speed simulation computing module
This module utilizes the landform residing for stringing, stringing corridor is carried out stress and strain model required arbitrarily, and the microclimate data obtained in conjunction with online observation module and macroweather forecast, 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 cloud platform in real time, issue early warning information in time.This module has health diagnosis function simultaneously, regularly the Monitoring Data that on-line monitoring system obtains can be combined with theoretical analysis by the function of model analysis, wavelet analysis, carry out Gernral Check-up, set up health account database.
Concrete implementation step comprises:
1, the finite element data storehouse of Transmission Tower-line System is set up
2, the health account storehouse of Transmission Tower-line System is set up
3, the terrain data of Transmission Tower-line System corridor GIS is imported CFD module, form the CFD model in power transmission line corridor, using the inlet velocity of the wind speed (any time) of weather warning as this model, (any time) wind speed profile in prediction Transmission Tower-line System corridor.
The wind speed profile of 4, will try to achieve, converts as wind load, substitutes into finite element analysis module, carries out the Dynamic Response, obtains the stress and strain etc. of Transmission Tower-line System.
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 an extreme meteorological condition, comprise online monitoring modular, described on-line monitoring module is made up of the front end system be arranged on each stringing tower and remote supervision system, be connected through communication system between front end system with remote supervision system, vibration transducer and meteorological sensor is provided with in described front end system, it is characterized in that: described front end system is also provided with the early warning system be made up of wind speed simulation computing module and cloud expert system module, stress and strain model is carried out by stringing corridor in the region of calculating by described wind speed simulation computing module, the microclimate data returned in conjunction with the meteorological sensor of online monitoring modular and macroweather forecast, by the calculating of turbulence model, obtain the wind speed profile in the stringing corridor in prediction moment, Data of Finite Element Model storehouse and the expert module of stringing system is included in described cloud expert system module, the wind speed profile in the stringing corridor in the prediction moment that described expert module utilizes Data of Finite Element Model storehouse to obtain in conjunction with wind speed simulation computing module, draws quiet dynamic response and the accumulated ice snow situation of the stringing in prediction moment.
2. the cloud early warning system of the stringing under extreme meteorological condition according to claim 1, is characterized in that: be provided with Transmission Tower-line health account database in described cloud expert system module.
3. the cloud method for early warning of the stringing under an extreme meteorological condition, it is characterized in that: on each stringing tower, front end system is set, vibration transducer and meteorological sensor are set in front end system, the vibration parameters of stringing is obtained by vibration transducer, obtain the microclimate data around stringing by meteorological sensor, utilize communication system that the detection data of front end system are sent to remote supervision system; Utilize the landform residing for stringing, stress and strain model is carried out in stringing corridor, in conjunction with the microclimate data obtained and macroweather forecast, by the calculating of computational fluid dynamics model, obtain the wind speed profile in the stringing corridor in prediction moment; By the Data of Finite Element Model storehouse of stringing system, in conjunction with the wind speed profile in the stringing corridor in the prediction moment obtained, draw quiet dynamic response and the accumulated ice snow situation of the stringing in prediction moment.
4. the cloud method for early warning of the stringing under extreme meteorological condition according to claim 3, it is characterized in that: the data being obtained the topography and geomorphology of stringing region by Geographic Information System, set up the complicated wind field turbulence model in stringing region, obtain the wind speed profile in stringing corridor.
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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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| CN105117804B (en) * | 2015-09-11 | 2017-02-22 | 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 |
| 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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| 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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| JP3316368B2 (en) * | 1996-03-13 | 2002-08-19 | 東京電力株式会社 | Transmission line snow damage alarm system |
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| 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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