CN106033556A - Power grid micro meteorology calamity monitoring early warning system and early warning method - Google Patents
Power grid micro meteorology calamity monitoring early warning system and early warning method Download PDFInfo
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Abstract
The invention provides a power grid micro meteorology calamity monitoring early warning system and an early warning method, relating to the electrical engineering technology field. The power grid micro meteorology calamity monitoring early warning system comprises a micro meteorology monitoring sub-platform, a micro meteorology calamity prediction sub-platform, a micro meteorology calamity early warning sub-platform and a system management sub-platform. The early warning method comprises steps of: obtaining meteorology data and micro meteorology data of a power transmission line from a monitoring device, performing icing prediction and wind deflection prediction according to the micro meteorology data to obtain an icing prediction area distribution result and a wind deflection prediction area distribution result, Q3 performing icing early warning level dividing and wind deflection early warning level dividing according to the icing prediction area distribution result and the wind deflection prediction area distribution result, and displaying an early warning prompt, and displaying meteorology monitoring data, prediction data and early warning data The power grid micro meteorology calamity monitoring early warning system and the early warning method solve problems that meteorology data collection is dispersed, information sharing is insufficient and transmission is delayed, communication efficiency is low and prediction accuracy is low.
Description
Technical field
The present invention relates to electrical engineering technical field, particularly relate to a kind of electrical network microclimate disaster monitoring and early-warning system and the pre-police thereof
Method.
Background technology
Power industry is meteorological hypersensitivity and high demand property industry, and it produces, build, run and affected pole by environment meteorological factor
Greatly.Microclimate refers in the lowest troposphere caused by some structural feature (such as mima type microrelief) and little model in upper layer of soil
Enclose the change of meteorological element (meteorological element includes temperature, humidity, wind speed and direction, air pressure, moisture conditions etc.), this little scope
Climatic characteristic shows in indivedual weather phenomenon (such as wind, mist, frost, glaze etc.), but the change of this key element is unlikely to make big chi
Spend the climate characteristic generation large change that journey (advection, sharp side) is determined.
China's transmission line of electricity area coverage is wide, fed distance is long, and circuit is with a varied topography by way of area, elevation great disparity, meteorological change
Significantly, Features of Microclimate In Plastic highlights.The meteorological condition in the extreme terrain districts such as circuit mountain valley along the line, air port, river, goaf,
Causing circuit to exist, icing, windage yaw, pollution flashover, thunderbolt etc. cause falls the accident potential such as tower, broken string, gold utensil abrasion.Frequently send out
Raw electrical network microclimate disaster accident shows, the gas such as microclimate, the high wind in mima type microrelief region, heavy rain, pollution flashover, thunderbolt, icing
Network system stable operation is caused as disaster and Secondary Geological Hazards serious threat, and has caused huge economic loss.
Microclimate environment is because its region is narrow and small, and the climatic condition of these microclimate points can not be monitored and report by meteorological department in time.
And microclimate data have important function to electric power netting safe running.Along with State Grid Corporation of China's in-depth " Two change ", promote " the last one
Three is excellent " construction of Modern Corporation, power network safety operation, the impact that reduces microclimate disaster are had higher requirement, opens
Exhibition electric power microclimate further investigation, grasps feature and the pests occurrence rule of microclimate disaster, builds electrical network microclimate disaster monitoring early warning
System is most important to building sturdy power grid.
At present, domestic many units have carried out the correlational study of electric power microclimate disaster, but owing to weather information is disperseed, ground
Study carefully region single, make electric power microclimate disaster alarm technical research lack systematicness, be mainly reflected in the following aspects:
1) meteorological data collection dispersion, lacks unified data integration shared platform, along with power department to meteorological disaster day by day
Paying attention to, the construction of microclimate monitoring station, increasing of mobile microclimate monitoring station, weather information and microclimate data volume constantly increase
Greatly, but interface disunity, lack effective management means, cause information sharing not enough, link up efficiency low.
2) prediction and warning of microclimate disaster is backward in technique, the most manually predicts, the method lacking science, it was predicted that accurate
Really rate is low.
3) lack unified meteorological microclimate and the display platform of hazard prediction early warning thereof, cause the delay of information, thus lose and adopt
Take the quality time of corresponding measure.
Summary of the invention
It is an object of the invention to provide a kind of electrical network microclimate disaster monitoring and early-warning system and method thereof, by meteorological to electrical network and
The monitoring of microclimate, is predicted the electrical network microclimate disaster being likely to occur in time, and according to the order of severity of disaster, right
Electrical network microclimate disaster carries out grading forewarning system, thus solves foregoing problems present in prior art.
To achieve these goals, one electrical network microclimate disaster monitoring and early-warning system of the present invention, the technical scheme of employing is as follows:
This system includes: microclimate monitoring sub-platform, microclimate hazard prediction sub-platform, microclimate disaster alarm sub-platform and system pipes
Reason sub-platform；
Described microclimate monitoring sub-platform, carries out data integration by the data source received from monitoring station, then passes through data warehouse
Meteorological data and microclimate data with data bus monitoring transmission line of electricity region；
Described microclimate hazard prediction sub-platform, carries out icing prediction and windage yaw respectively according to described weather information and microclimate data
Prediction, obtains icing estimation range distribution results and windage yaw estimation range distribution results；
Described microclimate disaster alarm sub-platform, is distributed according to described icing estimation range distribution results and windage yaw estimation range respectively
Result carries out ice-coating pre-warning partition of the level and windage yaw warning level divides, and sends early warning；
Described system administration sub-platform, is responsible for processing and the Monitoring Data, described micro-of microclimate monitoring sub-platform described in real-time exhibition
The prediction data of meteorological disaster prediction sub-platform and the warning data of described microclimate disaster alarm sub-platform.
Preferably, described electrical network microclimate monitoring sub-platform includes: region weather monitoring module and power transmission line corridor microclimate prison
Survey module；
Described region weather monitoring module, according to public network weather station and the meteorological satellite of Grid belonging to monitoring power transmission line corridor
The meteorological data sent carries out weather monitoring and weather forecast；
Described power transmission line corridor microclimate monitoring modular: from microclimate monitoring station or the mobile prison of monitoring power transmission line corridor
Survey station for acquiring microclimate Real-time Monitoring Data, in conjunction with the weather forecast of the affiliated Grid of described power transmission line corridor, in advance
Survey the microclimate of described power transmission line corridor；
The microclimate of described power transmission line corridor includes: current microclimate data, short-term microclimate data and microclimate data in mid-term.
Preferably, described microclimate hazard prediction sub-platform includes: icing prediction module, icing estimation range distribution module, wind
Prediction module, windage yaw estimation range distribution module partially；
Described icing prediction module, sets up icing forecast model, the microclimate data obtained in conjunction with described microclimate monitoring sub-platform,
Target transmission line of electricity is carried out icing prediction, and obtains icing and predict the outcome；
Described icing estimation range distribution module, predicts the outcome according to described icing, and in power grid GIS, display meets icing necessity bar
The microclimate region of part, and show icing area distribution by different colours；
Described windage yaw prediction module, sets up windage yaw forecast model, the microclimate data obtained in conjunction with described microclimate monitoring sub-platform,
Transmission line of electricity is carried out windage yaw prediction, and obtains windage yaw and predict the outcome；
Described windage yaw estimation range distribution module, predicts the outcome according to windage yaw, and in power grid GIS, display meets windage yaw essential condition
Microclimate region, and show windage yaw area distribution by different colours.
It is highly preferred that the foundation of icing forecast model in described icing prediction module, use the mode of rule match, with weather,
Temperature, relative humidity and wind speed are model parameter, set up glaze, crystalline rime, granular rime, the icing of snow rime four type
Forecast model, specifically comprises the following steps that
T1, determines inference logic expression formula
Use regulation engine, determine inference logic expression formula formula (8) of described icing forecast model:
S=g (X, K) (8)
Wherein: S is output collection；X is input set；K is the knowledge rule collection of rule base；G () is reasoning operation method；
T2, determines input parameter sets
Described icing forecast model need to consider that parameter is: weather, temperature, relative humidity and wind speed, therefore, inputs parameter set X
Expression formula be formula (9):
X={W, T, Rh, Ws} (9)
Wherein: W is weather；T is temperature；Rh is relative humidity；Ws is wind speed；
T3, determines knowledge rule collection
Output collection S value collection is combined into S={ glaze, crystalline rime, granular rime, avenges rime, mixes rime }, accordingly, it is determined that regular
The knowledge rule in storehouse integrates the expression formula of K as formula (10):
K=f{W, T, Rh, Ws} (10)
WhenThen S=glaze, i.e. reaches glaze formation condition；
Or work asThe then crystalline rime of S=, i.e. reaches crystalline rime formation condition；
Or work asThe then granular rime of S=, i.e. reaches granular rime shape
One-tenth condition；
Or work asThen S=avenges rime, i.e. reaches to avenge rime occurrence condition；
Or work asThen S=mixes rime, i.e. reaches to mix rime and occurs
Condition；
If described K=f{W, T, Rh, Ws} are unsatisfactory for above-mentioned condition, are then not considered as icing.
It is highly preferred that windage yaw forecast model uses the mode of rule match in described windage yaw prediction module, using wind speed and weather as
Model parameter, sets up windage yaw forecast model, and the expression formula of described windage yaw forecast model is formula (11):
X={W, Ws} (11)
Wherein, X represents windage yaw output item, and W represents that weather, Ws represent wind speed；
WhenOr f{W, Ws}={Ws >=25m/s}, then prediction transmission line of electricity occurs
Windage yaw disaster.
Preferably, described microclimate disaster alarm sub-platform includes: icing disaster alarm module and windage yaw disaster alarm module；
Described icing disaster alarm module, according to the meteorological data in region described in transmission line of electricity, sets what described transmission line of electricity bore
Maximum ice covering thickness, and by the actual ice covering thickness of described transmission pressure and the contrast of described maximum ice covering thickness, by described defeated
Electric line wire icing early warning is divided into two grades, i.e. the early warning of icing one-level and two grades of early warning of icing；Described icing one-level early warning is at GIS
Upper display icing yellow early warning；The two grades of early warning of described icing show icing red early warning on GIS.
The condition of described icing one-level early warning: the actual ice covering thickness of described transmission pressure is less than the 80% of described maximum ice covering thickness；
The condition of described two grades of early warning of icing: powerline ice-covering, and the actual ice covering thickness of described transmission pressure is more than or equal to institute
State the 80% of maximum ice covering thickness；
Described windage yaw disaster alarm module, before transmission line construction, the minimum air void distance of design, and described micro-
Wind speed in meteorological data, calculates actual minimum air void distance by calculating angle of wind deflection, according to described actual minimum empty
Gas clearance distance judges the degree of danger that windage yaw causes, and carries out windage yaw early warning, and described windage yaw early warning is divided into and shows windage yaw on GIS
The windage yaw one-level early warning of yellow early warning and show two grades of early warning of windage yaw of windage yaw red early warning on GIS；
Described windage yaw one-level early warning, the wind speed in described microclimate data is more than or equal between 15m/s, and described actual minimum air
Stand-off distance is from less than the 80% of described minimum air void distance；
Two grades of early warning of described windage yaw, the wind speed in described microclimate data is more than or equal between 15m/s, and described actual minimum air
Stand-off distance is from more than or equal to the 80% of described minimum air void distance.
Preferably, described system administration sub-platform includes: log in main interface module, electronic chart real time data display module, figure
Conformal analysis display module and statement analysis display module；
The main interface module of described login, be responsible for login interface and user safety authentication, user information revealing, user log off,
Password is revised, is logged off and realize function menu；
Described electronic chart real time data display module, by electronic chart real-time exhibition the whole network transmission line of electricity macrograph and display office
Portion's website monitoring figure, prognostic chart and early warning figure；
Described pattern analysis display module, by described microclimate data to add up icon shows；Described statistics icon includes: Nogata
Figure, bar figure or pie chart；
Described statement analysis display module, after described microclimate data statistic analysis, by the analysis result that obtains with report form
Show.
The method for early warning of a kind of electrical network microclimate disaster monitoring and early-warning system of the present invention, based on described electrical network microclimate disaster monitoring
The method for early warning of early warning system, described method for early warning realizes the most as steps described below:
Q1, background system obtains meteorological data and the microclimate data of transmission line of electricity from monitoring device；
Q2, according to described microclimate data, carries out icing prediction respectively and windage yaw is predicted, obtain covering of described monitoring transmission line of electricity
Ice estimation range distribution results and windage yaw estimation range distribution results；
Q3, according to described icing estimation range distribution results and described windage yaw estimation range distribution results, carries out ice-coating pre-warning respectively
Partition of the level and windage yaw warning level divide, and send early warning；
Q4, shows early warning on electronic chart, shows weather data, prediction data and warning data.
Preferably, in step Q2, use icing Forecasting Methodology to carry out icing prediction, realize the most by the following method:
S1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
S2, it is judged that whether described microclimate real time data meets icing essential condition, if meeting, then enters S3；If being unsatisfactory for,
Then ignore；
Described icing essential condition is: temperature is less than or equal to 0 DEG C and relative humidity is more than or equal to 80%,
S3, enables icing forecast model, calls described microclimate real time data, carries out icing prediction；
S4, show that icing predicts the outcome and icing type.
Preferably, in step Q2, use windage yaw Forecasting Methodology to carry out windage yaw prediction, realize the most by the following method:
F1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
F2, it is judged that whether described microclimate real time data meets windage yaw essential condition, if meeting, then enters F3；If being unsatisfactory for,
Then ignore；
Described windage yaw essential condition is that current wind speed is more than or equal to 15m/s；
F3, enables windage yaw forecast model, calls microclimate real time data, carries out windage yaw prediction；
F4, show that windage yaw predicts the outcome.
The invention has the beneficial effects as follows:
The present invention is by setting up a set of electrical network microclimate disaster monitoring and early-warning system and method, it is achieved the prison to electrical network microclimate disaster
Survey and early warning.By formation mechenism and the formation condition of the research common disaster of microclimate, gather and analyze the micro-gas of power transmission line corridor
Image data and public network be meteorological and weather satellite data, then is equipped with data analysing method and the weather information way of presentation of science, it is achieved
Electrical network microclimate is monitored, and by being analyzed common microclimate disaster icing and the formation mechenism of windage yaw and occurrence condition, sets up
Microclimate hazard prediction and Early-warning Model, according to microclimate data, carry out microclimate hazard prediction and early warning.Native system is that collection is micro-
The integrated system that weather monitoring, microclimate hazard prediction and early warning are integrated, it is achieved the overall situation grasps power grid environment meteorology integrated information,
The circuit that key protection microclimate disaster easily breaks down, is effectively improved electrical network great meteorological disaster early warning and emergency capability, specifically
It is embodied in:
1, by setting up unified electrical network meteorology microclimate monitoring platform, solve owing to lacking meteorology accurately and timely and microclimate number
According to and cause the problem that electric network fault takes place frequently.
2, data integrated approach, it is achieved the data integration of multi-data source is with shared.
3, by the research and analysis to microclimate formation mechanism of disaster and formation condition, a set of microclimate hazard prediction early warning is set up
Method, it is achieved the look-ahead early warning of microclimate disaster, reduces the loss caused electrical network due to microclimate disaster.
4, realize microclimate data, the displaying of microclimate disaster by various ways such as GIS electronic chart, form, figures, solve
Certainly microclimate data and microclimate disaster information are shared poor, link up inefficient problem.
Accompanying drawing explanation
Fig. 1 is the structural representation of electrical network microclimate disaster monitoring and early-warning system described in embodiment 1；
Fig. 2 is data integration structural representation described in embodiment 1；
Fig. 3 is the schematic flow sheet of the method for early warning of electrical network microclimate disaster monitoring and early-warning system described in embodiment 2；
Fig. 4 is that icing described in embodiment 2 predicts schematic flow sheet；
Fig. 5 is that schematic flow sheet is predicted in windage yaw described in embodiment 2；
Fig. 6 is icing disaster alarm schematic flow sheet described in embodiment 2；
Fig. 7 is windage yaw disaster alarm schematic flow sheet described in embodiment 2.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing, the present invention is entered
One step describes in detail.Should be appreciated that detailed description of the invention described herein, only in order to explain the present invention, is not used to limit
The present invention.
Embodiment 1, as a example by certain provincial electric power company, with the mountain area electrical network of a certain hidden trouble of this Utilities Electric Co. as pilot, this mountain area
550kV emphasis transmission line of electricity is inside distributed, and extreme terrain is distributed multiple microclimate points, sets up electrical network microclimate disaster monitoring early warning
System.
Seeing figures.1.and.2, the disaster monitoring and early-warning system of electrical network microclimate described in this enforcement, this system includes: microclimate is monitored
Sub-platform, microclimate hazard prediction sub-platform, microclimate disaster alarm sub-platform and system administration sub-platform.
In the present embodiment, described microclimate monitoring sub-platform, the data source received from monitoring station is carried out data integration, then
By data warehouse and the meteorological data in data bus monitoring transmission line of electricity region and microclimate data.Described electrical network microclimate is monitored
Sub-platform includes: region weather monitoring module and power transmission line corridor microclimate monitoring modular.Wherein, described region weather monitoring
Module, carries out weather monitoring and weather forecast according to the meteorological data that the public network weather station in monitored area and meteorological satellite are sent,
Particularly as follows: the electrical network in this monitoring area is divided into zones of different, carry out region meteorology displaying, show each region current weather letter
Breath, short-term weather prediction data and weather forecast in mid-term data；Grid is carried out according to difference administrative region, transmission line of electricity place
Divide, i.e. divide with administrative areas at the county level territory.Described power transmission line corridor microclimate monitoring modular: from monitoring power transmission line corridor
Microclimate monitoring station or mobile monitoring website obtain microclimate Real-time Monitoring Data, in conjunction with the institute of described power transmission line corridor
Belong to the weather forecast of Grid, it was predicted that the microclimate of described power transmission line corridor；The microclimate of described power transmission line corridor includes:
Current microclimate data, short-term microclimate data and microclimate data in mid-term.Wherein, described short-term microclimate data refer to 0～3 day
Microclimate data, described mid-term microclimate data 3-15 days microclimate data.
In the present embodiment, described microclimate hazard prediction sub-platform, covers respectively according to described weather information and microclimate data
Ice prediction and windage yaw are predicted, obtain icing estimation range distribution results and windage yaw estimation range distribution results.Described microclimate disaster
Prediction sub-platform includes: icing prediction module, icing estimation range distribution module, windage yaw prediction module, windage yaw estimation range are divided
Cloth module.Wherein, described icing prediction module, the bar formed by the research reason of powerline ice-covering formation of marine disasters, icing
The material impact factor that part and icing are formed, sets up icing forecast model, obtains in conjunction with the monitoring sub-platform monitoring of described microclimate
Microclimate data, carry out icing prediction to target transmission line of electricity, and obtain icing and predict the outcome.Described icing estimation range is distributed
Module, predicts the outcome according to described icing, and in power grid GIS, display meets the microclimate region of icing essential condition, and by not
Icing area distribution is shown with color.Described windage yaw prediction module, research power transmission circuit caused by windage formation of marine disasters reason, windage yaw are formed
The material impact factor that condition and windage yaw are formed, and according to described research, set up windage yaw forecast model, supervise in conjunction with described microclimate
Survey the microclimate data that sub-platform monitoring obtains, transmission line of electricity is carried out windage yaw prediction, and obtain windage yaw and predict the outcome.Described wind
Estimation range distribution module, predicts the outcome according to windage yaw partially, and in power grid GIS, display meets the microclimate region of windage yaw essential condition,
And show windage yaw area distribution by different colours.
Described icing formation of marine disasters reason: powerline ice-covering refers to that raindrop condense on transmission line of electricity after running into cold air, causes
The phenomenon that large area electric wire is encased by ice, can cause circuit tower bar to topple over, rupture, seriously can cause whole grid power blackout, therefore defeated
Electric line icing is extremely serious natural disaster for electric power system.
Described windage yaw formation of marine disasters reason: windage yaw is a kind of by wind-induced wire dancing, causes the reason of windage yaw discharge,
On the one hand, under high wind effect, there is certain displacement and deflection to tower body in wire, makes atmospherical discharges gap reduce；On the other hand,
Rainfall or hail reduce the power-frequency sparkover voltage of wire and shaft tower gap, and the two jointly acts on and causes circuit generation windage yaw to be tripped.
Owing to windage yaw angle becomes big, the most then alternate flashover, metal fixture is caused to damage, heavy then cause line tripping power failure, forget about it shaft tower
The major accident such as fracture with wire, cause great economic loss.
In the present embodiment, described microclimate disaster alarm sub-platform, respectively according to described icing estimation range distribution results and windage yaw
Estimation range distribution results carries out ice-coating pre-warning partition of the level and windage yaw warning level divides, and sends early warning.Described micro-gas
As disaster alarm sub-platform includes: icing disaster alarm module and windage yaw disaster alarm module；As known to the skilled person,
Powerline ice-covering makes shaft tower strengthen to bear a heavy burden, cause shaft tower to collapse, the electrical network disaster such as rupture of line, line oscillation, so weighing
One i.e. electric power line ice-covering thickness of important indicator of icing disaster, therefore the present invention arranges described icing disaster alarm module, it depends on
According to the meteorological data in region described in transmission line of electricity, set the maximum ice covering thickness that described transmission line of electricity bears, and by described transmission of electricity
The contrast of the maximum ice covering thickness of the actual ice covering thickness of wire and the design of described transmission pressure, by described wire icing of transmission line
Early warning is divided into two grades, i.e. the early warning of icing one-level and two grades of early warning of icing；Described icing one-level early warning shows that on GIS icing yellow is pre-
Alert, represent icing relatively easy-clear, occur calamity danger degree relatively low；The two grades of early warning of described icing show that on GIS icing is red pre-
Alert, represent that icing difficulty is removed, the degree of danger that disaster occurs is high；The condition of described icing one-level early warning: described transmission pressure
The 80% of the maximum ice covering thickness that actual ice covering thickness designs less than described transmission pressure；The condition of described two grades of early warning of icing: defeated
Electric line icing, and the actual ice covering thickness of described transmission pressure is more than or equal to the maximum ice covering thickness of described transmission pressure design
80%.
Wherein, described ice covering thickness calculates and uses wire icing girth or icing diameter to calculate, and concrete formula is as follows:
Method one: the computing formula of transmission pressure iced insulator uses wire icing girth to calculate, and formula (1) is as follows:
Wherein, ρ is iced insulator；π is pi；G is icing weight；L is icing length；I is icing girth；R is
Wire radius.
Method two: transmission pressure thickness equations uses icing diameter method to calculate, and formula is as follows:
Wherein, B0For wire icing thickness；ρ actual measurement or investigation iced insulator；KsFor icing form factor；R is icing radius
(including wire)；R is wire radius.
As known to the skilled person, because when transmission line of electricity is under harsher wind conditions, particularly in some mima type microrelief district, by force
Wind causes insulator chain to tilt to shaft tower direction, reduces the air gap distance between wire and shaft tower, when this distance can not expire
Foot dielectric strength will be discharged when requiring.So the present invention arranges described windage yaw disaster alarm module, it is according to transmission line of electricity
Before construction, the wind speed in the minimum air void distance of design, and described microclimate data, calculate by calculating angle of wind deflection
Go out actual minimum air void distance, the degree of danger caused according to described actual minimum air void Distance Judgment windage yaw, carry out
Windage yaw early warning, described windage yaw early warning is divided into and shows windage yaw yellow early warning windage yaw one-level early warning on GIS and show windage yaw on GIS
Two grades of early warning of red early warning windage yaw；Described windage yaw one-level early warning, the wind speed in described microclimate data is more than or equal to 15m/s, and
Described actual minimum air void distance less than described design minimum air void distance 80%；Two grades of early warning of described windage yaw,
Wind speed in described microclimate data is more than or equal to 15m/s, and described actual minimum air void distance is more than or equal to described design
Minimum air void distance 80%.Described windage yaw one-level early warning represents that wire is likely to occur windage yaw discharge, described windage yaw two
Level early warning represents that generation windage yaw calamity danger degree is high.
Wherein, described windage yaw angle calcu-lation formula (3):
In formula (3), LsFor horizontal span, unit m；LcFor vertical span, unit m；g1Carry from anharmonic ratio for wire, unit
kg/m.mm2；g4For wire wind lotus than carrying, units/kg/m.mm2；GJFor insulator chain weight, units/kg；PjFor insulator chain
Wind load, units/kg；A is sectional area of wire, unit mm2；
Wherein, described g4Calculate by formula (4):
Described PjCalculate by formula (5):
In formula, α is wind evil attacking lung；C is wind load Shape Coefficient；D is traverse calculation external diameter, unit mm；LsFor
Horizontal span, unit m；ν is wind speed, unit m/s；θ is the angle of wind direction and line direction, unit degree.
Wherein, specifying according to China's power industry standard " overvoltage protection of alternating-current electric device and Insulation Coordination ", pendency is absolutely
The calculating of edge substring angle of wind deflection is pressed formula (6) with wind evil attacking lung α and is calculated:
α=5.543 (ν sin θ)-0.737 (6)
ν is the 10min mean wind speed (m/s) being designed with；θ is the angle (spending) of wind direction and line direction.
Wind load Shape Coefficient C, represents the object build coefficient to the drag size of wind, and code specified diameter is less than 17 millimeters
The wire of (below LGJ-150) is 1.2；Diameter is 1.1 equal to or more than the wire of 17 millimeters (LGJ-150 and more than)；For leading
No matter line icing line footpath size, all take 1.2.
Described actual minimum air void distance computing formula (7) is as follows:
In formula, d is the minimum air void distance between transfer wire and the main material of shaft tower, unit m, and η is that the main material of shaft tower is with horizontal
Angle between load, unit degree, l is the total length of suspension insulator, unit m,Windage yaw for suspension insulator is pressed from both sides
Angle, unit degree, m is cross-arm length, unit m, and n is the hitch point distance to shaft tower vertical center line, unit m.
Angle of wind deflection size according to insulator chain and shaft tower each parameter angle of wind deflection calculation procedure, by being correlated with of input suspension insulator
Parameter and the model of given shaft tower upper conductor, utilize formula (6), go out the big of corresponding angle of wind deflection by matlab program calculation
Little, on the basis of calculated angle of wind deflection, further according to the size of actual tower head, go out difference according to formula (7) program calculation
Tower minimum air void distance under different angle of wind deflection.I.e. calculate shaft tower clearance distance under actual extraneous meteorological condition,
And judge whether windage yaw discharge according to electrical strength.
In the present embodiment, described system administration sub-platform, it is responsible for processing and the monitoring of microclimate monitoring sub-platform described in real-time exhibition
Data, the prediction data of described microclimate hazard prediction sub-platform and the warning data of described microclimate disaster alarm sub-platform.Institute
State system administration sub-platform to include: log in main interface module, electronic chart real time data display module, pattern analysis display module
With statement analysis display module.Wherein, the main interface module of described login, it is responsible for login interface and user safety authentication, use
Family information displaying, user log off, password are revised, are logged off and realize function menu.Described electronic chart real time data is shown
Module, by electronic chart real-time exhibition the whole network transmission line of electricity macrograph and display local sites monitoring figure, prognostic chart and early warning figure；
Described pattern analysis display module, by described microclimate data to add up icon shows.Described statistics icon includes: rectangular histogram,
Microclimate data are carried out trend analysis and compare by bar figure or pie chart, make user more accurately, comprehensively understand electrical network microclimate
Information.Described statement analysis display module, after described microclimate data statistic analysis, by the analysis result that obtains with form shape
Formula is shown, form can be customized by user according to the requirement of oneself, arranges form and comprises scope of data and report mode, full
The foot various job demand of user.
It is well known to those expert in the art that described electronic chart real time data display module be divided into microclimate Monitoring Data display unit,
Microclimate hazard prediction data display unit and disaster alarm data display unit, represent the whole network power transmission line by the mode of electronic chart
Lu Tu, by zoom function, can get more information about the everywhere details on transmission line of electricity.Will be in institute with eye-catching icon
State the monitoring point of monitoring and warning equipment and the monitoring and warning equipment one_to_one corresponding labelling in actual transmission line of electricity in electronic chart, then join
With display modes such as icon variable color, outer bullet suspended windows, get final product grasp macroscopical overall situation transmission line of electricity running status, can be particularly shown again
Local sites monitoring, prediction, early warning details.
In the present embodiment, for realizing the integrated and shared of different pieces of information source data form, described electrical network weather monitoring platform includes source
Data base, adapter, data warehouse, data/address bus.Adapter: be responsible for receiving the initial data in described source database,
Hold the object that polytype data exchange as information.Adapter is responsible for gathering data and data being carried out stipulations process,
Data are converted into intended form and are stored in data warehouse, are used by software bus for application system.Different according to source database
Data type, data adapter unit is divided into three types: relevant database conventional data integrated adapter, is responsible for dealing with relationship
Type data；Text-type data adapter unit, is responsible for processing the data source file of text type；Real time data adapter, is responsible in real time
The collection of data.
Data warehouse: gather the data base of data for each adapter described in centralized stores.
Data/address bus: be responsible for the data transmission of application system and call.
Source database is scattered in the electric network data system of power grid enterprises, and the difference being each responsible for storing electric network data system acquisition is come
Original meteorological data, disaster data and the electric network data in source.Source database includes electric network information, public network weather information, satellite gas
As cloud atlas, microclimate data, microclimate disaster information.
In the present embodiment, the foundation of icing forecast model in described icing prediction module, use rule match mode, with weather,
Temperature, relative humidity and wind speed are model parameter, set up glaze, crystalline rime, granular rime, the icing of snow rime four type
Forecast model, specifically comprises the following steps that
T1, determines inference logic expression formula
Use regulation engine, it is necessary first to the clearly inference logic of used inference machine, for this model reasoning logical expression be
Formula (8):
S=g (X, K) (8)
Wherein: S is output collection；X is input set；K is the knowledge rule collection of rule base；G () is reasoning operation method；
T2, determines input parameter sets
According to above-mentioned analysis, icing forecast model need to consider that parameter is: weather, temperature, relative humidity, wind speed, therefore, defeated
The expression formula entering parameter set X is formula (9):
X={W, T, Rh, Ws} (9)
Wherein: W is weather；T is temperature；Rh is relative humidity；Ws is wind speed；
T3, determines knowledge rule collection
According to above-mentioned analysis, it is believed that can form result set S according to icing type according to known parameters, its value collection is combined into S={ rain
Rime, crystalline rime, granular rime, avenge rime, mix rime；
Determine that knowledge rule integrates the expression formula of K and as formula (10) is:
K=f{W, T, Rh, Ws} (10)
WhenThen S=glaze, i.e. reaches glaze formation condition；
Or work asThe then crystalline rime of S=, i.e. reaches crystalline rime formation condition；
Or work asThe then granular rime of S=, i.e. reaches granular rime and is formed
Condition；
Or work asThen S=avenges rime, i.e. reaches to avenge rime occurrence condition；
Or work asThen S=mixes rime, i.e. reaches mixing rime
Condition.
If described K=f{W, T, Rh, Ws} are unsatisfactory for above-mentioned condition, are then not considered as icing.
Wherein, in the present embodiment, described granular rime close structure, the ice cube that one grain of formation is the least, and described crystalline rime
Structure comparison is loose, in bigger lamellar.
The main condition forming icing is low temperature and humidity, and above-mentioned icing forecast model is from icing formation mechenism, except considering
Outside humidity factor, the meteorological factor such as temperature, weather and wind speed are also taken into full account, it is possible to accomplish based on weather forecast tentatively to cover
Ice hazard prediction and prompting, and have that parameter is easily obtained, program is easily achieved, model is prone to the feature that adjusts, has good
Good practicality.
In the present embodiment, in described windage yaw prediction module, windage yaw forecast model is the mode using rule match, with described wind speed and
Described weather, as model parameter, sets up windage yaw forecast model, and the expression formula of described windage yaw forecast model is formula (11):
X={W, Ws} (11)
Wherein, X represents windage yaw output item, and W represents that weather, Ws represent wind speed；
WhenOr f{W, Ws}={Ws >=25m/s}, then prediction transmission line of electricity generation windage yaw
Disaster.
The present embodiment provide a kind of electrical network microclimate disaster monitoring and early-warning system integrated satellite meteorolo-gy information, public network weather information with
And microclimate data, power transmission line corridor and key area are carried out microclimate monitoring, by microclimate disaster common to electrical network-
Line ice coating and the formation mechenism of windage yaw and the analysis of formation condition, set up microclimate hazard prediction and Early-warning Model, it is achieved micro-gas
As prediction and the warning function of disaster, solve to cause electric network fault to take place frequently owing to lacking meteorology accurately and timely and microclimate data
Problem, it is achieved the data integration of multi-data source and share, it is achieved the look-ahead early warning of microclimate disaster, reduce due to micro-gas
Loss electrical network caused as disaster, and realize microclimate data, micro-by various ways such as GIS electronic chart, form, figures
The displaying of meteorological disaster, solves microclimate data and microclimate disaster information is shared poor, links up inefficient problem.
Embodiment 2
With reference to Fig. 3, the method for early warning of a kind of electrical network microclimate disaster monitoring and early-warning system, based on the micro-gas of electrical network described in embodiment 1
As the method for early warning of disaster monitoring and early-warning system, described method for early warning realizes the most as steps described below:
Q1, background system obtains meteorological data and the microclimate data of transmission line of electricity from monitoring device；
Q2, according to described microclimate data, carries out icing prediction respectively and windage yaw is predicted, obtain covering of described monitoring transmission line of electricity
Ice estimation range distribution results and windage yaw estimation range distribution results；
Q3, according to described icing estimation range distribution results and described windage yaw estimation range distribution results, carries out ice-coating pre-warning respectively
Partition of the level and windage yaw warning level divide, and send early warning；
Q4, shows early warning on electronic chart, shows weather data, prediction data and warning data on interface.
With reference to Fig. 4, in step Q2, use icing Forecasting Methodology to carry out icing prediction, be that system is by grinding icing mechanism
Study carefully, the correlative factor of analyzing influence icing, set up icing forecast model, monitor wire periphery microclimate information, and according to icing
The necessary meteorological condition formed, is predicted line ice coating, realizes the most by the following method:
S1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
S2, it is judged that whether described microclimate real time data meets icing essential condition, if meeting, then enters S3；If being unsatisfactory for,
Then ignore；
Described icing essential condition is: temperature is less than or equal to 0 DEG C and relative humidity is more than or equal to 80%,
S3, enables icing forecast model, calls described microclimate real time data, carries out icing prediction；
S4, show that icing predicts the outcome and icing type.
With reference to Fig. 5, in step Q2, use windage yaw Forecasting Methodology to carry out windage yaw prediction, be system by the research to windage yaw mechanism,
The correlative factor of analyzing influence windage yaw, sets up windage yaw forecast model, monitors wire periphery microclimate information, and is formed according to windage yaw
Necessary meteorological condition, circuit windage yaw disaster is predicted, the most by the following method realize:
F1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
F2, it is judged that whether described microclimate real time data meets windage yaw essential condition, if meeting, then enters F3；If being unsatisfactory for,
Then ignore；
Described windage yaw essential condition is that current wind speed is more than or equal to 15m/s；
F3, enables windage yaw forecast model, calls microclimate real time data, carries out windage yaw prediction；
F4, show that windage yaw predicts the outcome.
With reference to Fig. 6, in the present embodiment, ice-coating pre-warning partition of the level described in step Q3, it is to realize as follows:
Y1, obtains temperature and the rh value of monitored area transmission line of electricity；
Y2, it is judged that whether described temperature and described relative humidity meet humidity less than or equal to 0 DEG C and relative humidity more than 80%, if
Meet, then enter Y3；If being unsatisfactory for, then not early warning；
Y3, calculates and judges that the actual ice covering thickness of described transmission line of electricity is the thickest more than or equal to the maximum icing of Transmission Line Design
The 80% of degree, if meeting, then carries out two grades of early warning of icing；If being unsatisfactory for, then carry out icing one-level early warning.
With reference to Fig. 7, in the present embodiment, windage yaw warning level described in step Q3 divides, and is to realize as follows:
E1, obtains the wind speed of the transmission line of electricity periphery of monitored area；
E2, it is judged that described wind speed whether more than or equal to 15m/s, the most then enters E3；If it is not, then without early warning；
E3, calculates and judges that whether actual minimum space clearance distance is more than minimum air void distance during design transmission line of electricity
80%, the most then carry out two grades of early warning of windage yaw；If it is not, then carry out windage yaw one-level early warning.
By using technique scheme disclosed by the invention, obtain following beneficial effect:
The present invention is by setting up a set of electrical network microclimate disaster monitoring and early-warning system and method, it is achieved the prison to electrical network microclimate disaster
Survey and early warning.By formation mechenism and the formation condition of the research common disaster of microclimate, gather and analyze the micro-gas of power transmission line corridor
Image data and public network be meteorological and weather satellite data, then is equipped with data analysing method and the weather information way of presentation of science, it is achieved
Electrical network microclimate is monitored, and by being analyzed common microclimate disaster icing and the stroke mechanism of windage yaw and occurrence condition, sets up
Microclimate hazard prediction and Early-warning Model, according to microclimate data, carry out microclimate hazard prediction and early warning.Native system is that collection is micro-
The integrated system that weather monitoring, microclimate hazard prediction and early warning are integrated, it is achieved the overall situation grasps power grid environment meteorology integrated information,
The circuit that key protection microclimate disaster easily breaks down, is effectively improved electrical network great meteorological disaster early warning and emergency capability, specifically
It is embodied in:
1, by setting up unified electrical network meteorology microclimate monitoring platform, solve owing to lacking meteorology accurately and timely and microclimate number
According to and cause the problem that electric network fault takes place frequently.
2, data integrated approach, it is achieved the data integration of multi-data source is with shared.
3, by the research and analysis to microclimate formation mechanism of disaster and formation condition, a set of microclimate hazard prediction early warning is set up
Method, it is achieved the look-ahead early warning of microclimate disaster, reduces the loss caused electrical network due to microclimate disaster.
4, realize microclimate data, the displaying of microclimate disaster by various ways such as GIS electronic chart, form, figures, solve
Certainly microclimate data and microclimate disaster information are shared poor, link up inefficient problem.
The above is only the preferred embodiment of the present invention, it is noted that for those skilled in the art,
Under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, these improvements and modifications also should regard the present invention
Protection domain.
Claims (10)
1. an electrical network microclimate disaster monitoring and early-warning system, it is characterised in that this system includes: microclimate monitoring sub-platform,
Microclimate hazard prediction sub-platform, microclimate disaster alarm sub-platform and system administration sub-platform；
Described microclimate monitoring sub-platform, carries out data integration by the data source received from monitoring station, then passes through data warehouse
Meteorological data and microclimate data with data bus monitoring transmission line of electricity region；
Described microclimate hazard prediction sub-platform, carries out icing prediction and windage yaw respectively according to described weather information and microclimate data
Prediction, obtains icing estimation range distribution results and windage yaw estimation range distribution results；
Described microclimate disaster alarm sub-platform, is distributed according to described icing estimation range distribution results and windage yaw estimation range respectively
Result carries out ice-coating pre-warning partition of the level and windage yaw warning level divides, and sends early warning；
Described system administration sub-platform, is responsible for processing and the Monitoring Data, described micro-of microclimate monitoring sub-platform described in real-time exhibition
The prediction data of meteorological disaster prediction sub-platform and the warning data of described microclimate disaster alarm sub-platform.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 1, it is characterised in that described electrical network microclimate is supervised
Survey sub-platform includes: region weather monitoring module and power transmission line corridor microclimate monitoring modular；
Described region weather monitoring module, according to public network weather station and the meteorological satellite of Grid belonging to monitoring power transmission line corridor
The meteorological data sent carries out weather monitoring and weather forecast；
Described power transmission line corridor microclimate monitoring modular: from microclimate monitoring station or the mobile prison of monitoring power transmission line corridor
Survey station for acquiring microclimate Real-time Monitoring Data, in conjunction with the weather forecast of the affiliated Grid of described power transmission line corridor, in advance
Survey the microclimate of described power transmission line corridor；
The microclimate of described power transmission line corridor includes: current microclimate data, short-term microclimate data and microclimate data in mid-term.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 1, it is characterised in that described microclimate disaster is pre-
Survey sub-platform includes: icing prediction module, icing estimation range distribution module, windage yaw prediction module, the distribution of windage yaw estimation range
Module；
Described icing prediction module, sets up icing forecast model, the microclimate data obtained in conjunction with described microclimate monitoring sub-platform,
Target transmission line of electricity is carried out icing prediction, and obtains icing and predict the outcome；
Described icing estimation range distribution module, predicts the outcome according to described icing, and in power grid GIS, display meets icing necessity bar
The microclimate region of part, and show icing area distribution by different colours；
Described windage yaw prediction module, sets up windage yaw forecast model, the microclimate data obtained in conjunction with described microclimate monitoring sub-platform,
Transmission line of electricity is carried out windage yaw prediction, and obtains windage yaw and predict the outcome；
Described windage yaw estimation range distribution module, predicts the outcome according to windage yaw, and in power grid GIS, display meets windage yaw essential condition
Microclimate region, and show windage yaw area distribution by different colours.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 3, it is characterised in that described icing prediction module
The foundation of middle icing forecast model, uses the mode of rule match, with weather, temperature, relative humidity and wind speed as model parameter,
Set up glaze, crystalline rime, granular rime, the icing forecast model of snow rime four type, specifically comprise the following steps that
T1, determines inference logic expression formula
Use regulation engine, determine inference logic expression formula formula (8) of described icing forecast model:
S=g (X, K) (8)
Wherein: S is output collection；X is input set；K is the knowledge rule collection of rule base；G () is reasoning operation method；
T2, determines input parameter sets
Described icing forecast model need to consider that parameter is: weather, temperature, relative humidity and wind speed, therefore, inputs parameter set X
Expression formula be formula (9):
X={W, T, Rh, Ws} (9)
Wherein: W is weather；T is temperature；Rh is relative humidity；Ws is wind speed；
T3, determines knowledge rule collection
Output collection S value collection is combined into S={ glaze, crystalline rime, granular rime, avenges rime, mixes rime }, accordingly, it is determined that regular
The knowledge rule in storehouse integrates the expression formula of K as formula (10):
K=f{W, T, Rh, Ws} (10)
WhenThen S=glaze, i.e. reaches glaze formation condition；
Or work asThe then crystalline rime of S=, i.e. reaches crystalline rime formation condition；
Or work asThe then granular rime of S=, i.e. reaches granular rime and forms bar
Part；
Or work asThen S=avenges rime, i.e. reaches to avenge rime occurrence condition；
Or work asThen S=mixes rime, i.e. reaches to mix the bar that rime occurs
Part；
If described K=f{W, T, Rh, Ws} are unsatisfactory for above-mentioned condition, are then not considered as icing.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 3, it is characterised in that described windage yaw prediction module
Middle windage yaw forecast model uses the mode of rule match, using wind speed and weather as model parameter, sets up windage yaw forecast model, institute
The expression formula stating windage yaw forecast model is formula (11):
X={W, Ws} (11)
Wherein, X represents windage yaw output item, and W represents that weather, Ws represent wind speed；
WhenOr f{W, Ws}={Ws >=25m/s}, then prediction transmission line of electricity generation windage yaw
Disaster.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 1, it is characterised in that described microclimate disaster is pre-
Alert sub-platform includes: icing disaster alarm module and windage yaw disaster alarm module；
Described icing disaster alarm module, according to the meteorological data in region described in transmission line of electricity, sets what described transmission line of electricity bore
Maximum ice covering thickness, and by the actual ice covering thickness of described transmission pressure and the contrast of described maximum ice covering thickness, by described defeated
Electric line wire icing early warning is divided into two grades, i.e. the early warning of icing one-level and two grades of early warning of icing；Described icing one-level early warning is at GIS
Upper display icing yellow early warning；The two grades of early warning of described icing show icing red early warning on GIS.
The condition of described icing one-level early warning: the actual ice covering thickness of described transmission pressure is less than the 80% of described maximum ice covering thickness；
The condition of described two grades of early warning of icing: powerline ice-covering, and the actual ice covering thickness of described transmission pressure is more than or equal to institute
State the 80% of maximum ice covering thickness；
Described windage yaw disaster alarm module, before transmission line construction, the minimum air void distance of design, and described micro-
Wind speed in meteorological data, calculates actual minimum air void distance by calculating angle of wind deflection, according to described actual minimum empty
Gas clearance distance judges the degree of danger that windage yaw causes, and carries out windage yaw early warning, and described windage yaw early warning is divided into and shows windage yaw on GIS
The windage yaw one-level early warning of yellow early warning and show two grades of early warning of windage yaw of windage yaw red early warning on GIS；
Described windage yaw one-level early warning, the wind speed in described microclimate data is more than or equal between 15m/s, and described actual minimum air
Stand-off distance is from less than the 80% of described minimum air void distance；
Two grades of early warning of described windage yaw, the wind speed in described microclimate data is more than or equal between 15m/s, and described actual minimum air
Stand-off distance is from more than or equal to the 80% of described minimum air void distance.
Electrical network microclimate disaster monitoring and early-warning system the most according to claim 1, it is characterised in that described system administration is put down
Platform includes: logs in main interface module, electronic chart real time data display module, pattern analysis display module and statement analysis and shows
Module；
The main interface module of described login, be responsible for login interface and user safety authentication, user information revealing, user log off,
Password is revised, is logged off and realize function menu；
Described electronic chart real time data display module, by electronic chart real-time exhibition the whole network transmission line of electricity macrograph and display office
Portion's website monitoring figure, prognostic chart and early warning figure；
Described pattern analysis display module, by described microclimate data to add up icon shows；Described statistics icon includes: Nogata
Figure, bar figure or pie chart；
Described statement analysis display module, after described microclimate data statistic analysis, by the analysis result that obtains with report form
Show.
8. the method for early warning of an electrical network microclimate disaster monitoring and early-warning system, it is characterised in that any based on claim 1-7
The method for early warning of electrical network microclimate disaster monitoring and early-warning system described in one claim, described method for early warning is specifically according to following step
Rapid realization:
Q1, background system obtains meteorological data and the microclimate data of transmission line of electricity from monitoring device；
Q2, according to described microclimate data, carries out icing prediction respectively and windage yaw is predicted, obtain covering of described monitoring transmission line of electricity
Ice estimation range distribution results and windage yaw estimation range distribution results；
Q3, according to described icing estimation range distribution results and described windage yaw estimation range distribution results, carries out ice-coating pre-warning respectively
Partition of the level and windage yaw warning level divide, and send early warning；
Q4, shows early warning on electronic chart, shows weather data, prediction data and warning data.
The method for early warning of electrical network microclimate disaster monitoring and early-warning system the most according to claim 8, it is characterised in that step Q2
In, use icing Forecasting Methodology to carry out icing prediction, realize the most by the following method:
S1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
S2, it is judged that whether described microclimate real time data meets icing essential condition, if meeting, then enters S3；If being unsatisfactory for,
Then ignore；
Described icing essential condition is: temperature is less than or equal to 0 DEG C and relative humidity is more than or equal to 80%,
S3, enables icing forecast model, calls described microclimate real time data, carries out icing prediction；
S4, show that icing predicts the outcome and icing type.
The method for early warning of electrical network microclimate disaster monitoring and early-warning system the most according to claim 8, it is characterised in that step
In Q2, use windage yaw Forecasting Methodology to carry out windage yaw prediction, realize the most by the following method:
F1, extract microclimate real time data, described microclimate real time data includes: the temperature of power transmission line corridor, relative humidity,
Wind speed, wind direction and weather；
F2, it is judged that whether described microclimate real time data meets windage yaw essential condition, if meeting, then enters F3；If being unsatisfactory for,
Then ignore；
Described windage yaw essential condition is that current wind speed is more than or equal to 15m/s；
F3, enables windage yaw forecast model, calls microclimate real time data, carries out windage yaw prediction；
F4, show that windage yaw predicts the outcome.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106408859A (en) * | 2016-12-15 | 2017-02-15 | 中国南方电网有限责任公司超高压输电公司贵阳局 | Power transmission line tower line system icing early warning system and method thereof |
| CN106651031A (en) * | 2016-12-21 | 2017-05-10 | 山东大学 | Lightning stroke flashover early warning method and system based on historical information |
| CN106781229A (en) * | 2016-11-15 | 2017-05-31 | 国网四川省电力公司电力科学研究院 | Coated by ice of overhead power transmission line method for early warning |
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| CN107066689A (en) * | 2017-02-28 | 2017-08-18 | 北京玖天气象科技有限公司 | A kind of Weather Risk method for early warning of power transmission circuit caused by windage failure |
| CN107742186A (en) * | 2017-10-31 | 2018-02-27 | 合肥天鹰高科技有限公司 | A kind of transmission line of electricity is prevented and reduced natural disasters early warning analysis platform |
| CN108008252A (en) * | 2017-11-29 | 2018-05-08 | 广东电网有限责任公司电力科学研究院 | A kind of transmission line malfunction type diagnostic method and apparatus |
| CN108304953A (en) * | 2017-01-13 | 2018-07-20 | 北京金禾天成科技有限公司 | The method for early warning and system of diseases and pests of agronomic crop |
| CN109063975A (en) * | 2018-07-11 | 2018-12-21 | 国网黑龙江省电力有限公司电力科学研究院 | A kind of electric power microclimate disaster monitoring and prior-warning device |
| CN110989037A (en) * | 2019-10-29 | 2020-04-10 | 贵州师范学院 | Power grid microclimate disaster monitoring and early warning system and early warning method thereof |
| CN111930866A (en) * | 2020-07-31 | 2020-11-13 | 中国科学院地理科学与资源研究所 | Grid-based layered heat early warning real-time publishing and displaying method, system and equipment |
| CN112116132A (en) * | 2020-08-27 | 2020-12-22 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Method for predicting conductor icing thickness in complex mountain environment |
| CN112365161A (en) * | 2020-11-12 | 2021-02-12 | 北京中电普华信息技术有限公司 | Risk monitoring method and device |
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| CN113222276A (en) * | 2021-05-27 | 2021-08-06 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Icing condition prediction method and device, computer equipment and storage medium |
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2015
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| CN106781229A (en) * | 2016-11-15 | 2017-05-31 | 国网四川省电力公司电力科学研究院 | Coated by ice of overhead power transmission line method for early warning |
| CN106408859A (en) * | 2016-12-15 | 2017-02-15 | 中国南方电网有限责任公司超高压输电公司贵阳局 | Power transmission line tower line system icing early warning system and method thereof |
| CN106651031A (en) * | 2016-12-21 | 2017-05-10 | 山东大学 | Lightning stroke flashover early warning method and system based on historical information |
| CN106651031B (en) * | 2016-12-21 | 2019-10-22 | 山东大学 | Lightning stroke flashover method for early warning and system based on historical information |
| CN108304953A (en) * | 2017-01-13 | 2018-07-20 | 北京金禾天成科技有限公司 | The method for early warning and system of diseases and pests of agronomic crop |
| CN107066689B (en) * | 2017-02-28 | 2024-03-15 | 北京玖天气象科技有限公司 | Meteorological risk early warning method for wind deflection faults of power transmission line |
| CN107066689A (en) * | 2017-02-28 | 2017-08-18 | 北京玖天气象科技有限公司 | A kind of Weather Risk method for early warning of power transmission circuit caused by windage failure |
| CN106845022A (en) * | 2017-03-01 | 2017-06-13 | 邯郸市气象局 | Hazard Evaluation for Weather Disaster method based on risk diffusion mechanism |
| CN107742186A (en) * | 2017-10-31 | 2018-02-27 | 合肥天鹰高科技有限公司 | A kind of transmission line of electricity is prevented and reduced natural disasters early warning analysis platform |
| CN108008252A (en) * | 2017-11-29 | 2018-05-08 | 广东电网有限责任公司电力科学研究院 | A kind of transmission line malfunction type diagnostic method and apparatus |
| CN108008252B (en) * | 2017-11-29 | 2020-04-17 | 广东电网有限责任公司电力科学研究院 | Power transmission line fault type diagnosis method and device |
| CN109063975A (en) * | 2018-07-11 | 2018-12-21 | 国网黑龙江省电力有限公司电力科学研究院 | A kind of electric power microclimate disaster monitoring and prior-warning device |
| CN110989037A (en) * | 2019-10-29 | 2020-04-10 | 贵州师范学院 | Power grid microclimate disaster monitoring and early warning system and early warning method thereof |
| CN111930866B (en) * | 2020-07-31 | 2021-03-26 | 中国科学院地理科学与资源研究所 | Grid-based layered heat early warning real-time publishing and displaying method, system and equipment |
| CN111930866A (en) * | 2020-07-31 | 2020-11-13 | 中国科学院地理科学与资源研究所 | Grid-based layered heat early warning real-time publishing and displaying method, system and equipment |
| CN112116132A (en) * | 2020-08-27 | 2020-12-22 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Method for predicting conductor icing thickness in complex mountain environment |
| CN112365161A (en) * | 2020-11-12 | 2021-02-12 | 北京中电普华信息技术有限公司 | Risk monitoring method and device |
| CN112525256A (en) * | 2020-11-12 | 2021-03-19 | 国网湖南省电力有限公司 | Real-time weather monitoring-based galloping event development state prediction method and device |
| CN113313289A (en) * | 2021-05-06 | 2021-08-27 | 国网河南省电力公司电力科学研究院 | Power grid weather early warning system based on multiple data sources |
| CN113222782A (en) * | 2021-05-19 | 2021-08-06 | 南方电网数字电网研究院有限公司 | Power grid equipment disaster prevention monitoring method based on cloud platform, big data and Internet of things technology |
| CN113222276A (en) * | 2021-05-27 | 2021-08-06 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Icing condition prediction method and device, computer equipment and storage medium |
| CN113222276B (en) * | 2021-05-27 | 2023-09-26 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Ice-covering condition prediction method, device, computer equipment and storage medium |
| WO2023273335A1 (en) * | 2021-06-30 | 2023-01-05 | 浙江三一装备有限公司 | Wind condition information prediction method and apparatus, terminal device and lifting device |
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