CN109541725A - A kind of electricity power engineering weather monitoring method for early warning based on GIS - Google Patents
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Abstract
The present invention provides a kind of electricity power engineering weather monitoring method for early warning based on GIS, the described method includes: constructing vector quantization grid for province GIS map, meteorological data in current and n hours of each weather monitoring point is associated with each electrical network facilities to vector quantization grid, meteorological data vector quantization grid is formed using interpolation algorithm, electrical network facilities scene meteorological data is predicted, when prediction result exceeds predetermined threshold, is alarmed and shown, and start live camera.Meanwhile this method is by the power parameter of the sensing data real-time update interpolation algorithm at electrical network facilities scene, so that prediction result is more accurate.The present invention realizes the meteorological prediction in electrical network facilities scene using interpolation algorithm, improves the predictive ability to electrical network facilities the condition of a disaster, reduces estimation range radius, reduce computational complexity, improves the efficiency of rescue.
Description
Technical field
The present invention relates to disaster surveillance early warning technology fields, and in particular to a kind of electricity power engineering weather monitoring based on GIS
Method for early warning.
Background technique
In recent years, infrastructure project management faces huge safe pressure, when the bad weathers such as sleet, thunder and lightning, strong wind occur,
Lack the weather monitoring early warning for being directed to each construction site of project, increases the unfavorable shadow to project site safety and construction quality
It rings, be easy to cause security risk, Grid Construction Project project management at present lacks effective monitoring and warning means, is unable to satisfy and works as
The requirement of preceding engineering project lean management.
Implement the deployment of capital construction monitoring and warning module and application item based on power grid GIS, can be realized in power grid GIS
Infrastructure project special topic is shown, passes through Intranet when triggering the setting of infrastructure project threshold value using the weather monitoring warning data of profession
Mobile terminal pushes warning information and points for attention to engineering site in time, the timeliness that effective guarantee warning information obtains,
By reinforcing the monitoring and warning capacity building of construction site meteorological disaster, the information-based water of General Promotion power grid construction safety management
It is flat.
Therefore, under the guidance of State Grid Corporation of China's relevant policies and file, in conjunction with power grid construction weather monitoring early warning essence
The application demand of refinement needs to implement the deployment of capital construction monitoring and warning module and application item based on power grid GIS, further
The ability for promoting electricity power engineering scene to obtain weather warning information meets the target of power grid security construction.
Summary of the invention
The purpose of the present invention is what is be achieved through the following technical solutions.
To solve the above-mentioned problems, the present invention provides a kind of electricity power engineering weather monitoring method for early warning based on GIS, institute
The method of stating includes:
Step 1): covering province for system, to the built electrical network facilities basic data in the system typing province and
Electrical network facilities basic data in construction, each meteorological data threshold value of warning of each electrical network facilities of typing；
Further, the electrical network facilities basic data includes: title, GIS three-dimensional map coordinate, height above sea level, affiliated administration
Region, on-stream time, time of completion, establishment type, all types of facility three-dimensional space datas, personnel's type, personnel amount.
Further, all types of facility three-dimensional space datas specifically include: the length of all types of facilities.
Step 2): each weather monitoring point current weather data in the province and n hours prediction meteorological datas are obtained and are recorded in real time
Enter the system；
Further, the n value is 1h, 3h, 12h and for 24 hours；
Step 3): according to the province GIS map, vector quantization grid is formed, the meteorological data of each monitoring point, power grid are set
Coordinate is applied to be respectively associated into vector quantization grid；
Further, the meteorological data includes: fire, rainfall, snowfall, temperature, wind-force, wind speed.
Further, the specific division methods of the vector quantization grid are to carry out the province using m*m as unit region
Grid dividing, wherein m value is 1KM, 2KM or 5KM.
Step 4): operation is carried out to meteorological data using interpolation algorithm, forms meteorological data vector quantization grid；
Further, the interpolation algorithm is specially inverse distance weighting；
Further, operation is carried out to meteorological data using interpolation algorithm, forms meteorological data vector quantization grid, it is specific to wrap
It includes:
Grid corresponding to weather monitoring point is set as reference point, remaining grid is estimation point；
According to current each meteorological data of reference point in grid, using inverse distance weighting to the estimation where electrical network facilities
The meteorological data of all types of facilities of point is calculated, obtain currently with the associated each meteorology of all types of facilities in electrical network facilities
Data；
According to each prediction meteorological data in the n hour of reference point each in grid, power grid is set using inverse distance weighting
The meteorological data of all types of facilities of estimation point where applying is calculated, and all types of facilities association in each electrical network facilities is obtained
Each prediction meteorological data.
Further, as follows using calculating process of the inverse distance weighting to estimation point:
Wherein, p0For each establishment type meteorological data of the estimation point where electrical network facilities；piFor the meteorological number of reference point
According to；λiFor the weight of reference point；The λiCalculation method, specifically:
When meteorological data is rainfall, snowfall, temperature data:
Wherein, hiFor the height in electrical network facilities in the three-dimensional space data of a type facilities；diFor electrical network facilities one kind
The plan range of the coordinate of weather monitoring point corresponding to the coordinate and reference point of type facility；N is reference point number；Q is power ginseng
Number；
When meteorological data is fire data:
Wherein, TiThe time of electrical network facilities is reached by reference point for fire；M is the reference point of electrical network facilities wind direction upstream
Number, wherein m < n；Q is power parameter；
When meteorological data is wind data:
Wherein, diThe coordinate of weather monitoring point corresponding to coordinate and reference point for a type facilities of the electrical network facilities
Plan range；M is the reference point number of electrical network facilities wind direction upstream, wherein m < n；Q is power parameter.
Step 5): judge whether each electrical network facilities current weather data are more than meteorological data threshold value of warning, are then carried out in this way
Alarm, and start electrical network facilities scene camera, the condition of a disaster data and live video data are shown in GIS display interface, it is such as no
It thens follow the steps 6)；
Further, obtain currently with electrical network facilities in the associated each meteorological data of all types of facilities after, it is described
Method further include:
Obtain each sensing data at each electrical network facilities scene, comprising: temperature, wind speed, wind direction, air humidity；
When live more than threshold value or electrical network facilities electrical network facilities by the calculated each meteorological data of inverse distance weighting institute
Each sensing data be more than respective threshold when, starting alarm, start power grid scene camera, and show electrical network facilities scene
Each meteorological data and video data；
Step 6): judging whether each electrical network facilities can be more than meteorological data threshold value of warning in the meteorological data in n hours,
It is in this way then alarm, and start electrical network facilities scene camera, the condition of a disaster data and live video are shown in GIS display interface
Data.
Further, described before calculating the associated each prediction meteorological data of all types of facilities in each electrical network facilities
Method further include:
Compare each sensing data at electrical network facilities scene and by the calculated each meteorological data of inverse distance weighting institute, root
According to the weight λ of comparison result adjustment reference pointi；
When the associated each prediction meteorological data of all types of facilities in each electrical network facilities is more than threshold value, starting alarm is opened
Dynamic power grid scene camera, and show each meteorological data and video data at electrical network facilities scene.
Further, the weight λ that reference point is adjusted according to comparison resulti, it specifically includes:
The power parameter q in weight computing formula is adjusted according to comparison result.
The present invention has the advantages that
(1) to the current weather data at electrical network facilities and predict that meteorological data is estimated using inverse distance weighting,
Realize the Accurate Prediction to electrical network facilities weather condition；
(2) data of the sensor acquisition at electrical network facilities scene are utilized and by the calculated current weather of inverse distance weighting
Data are compared, and adjust the power parameter of inverse distance weighting in real time, improve the accuracy to prediction meteorological data；
(3) radius to weather prognosis is reduced, is realized to the different type electricity in a certain electricity power engineering project
Net facility, such as weather prognosis of the electrical network facilities building with different height, improve the accuracy of prediction；
(4) by carrying out weather prognosis just for electrical network facilities position, reduce the complexity of data operation, it is ensured that
The real-time of system early warning；
(5) accuracy of operation is improved using different Weight algorithms for different weather categories；
(6) setting starts power grid scene camera when meteorological data exceeds threshold value, reduces volume of transmitted data, improves
The overall operation efficiency of system.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Attached drawing 1 shows the stream of the electricity power engineering weather monitoring method for early warning based on GIS of embodiment according to the present invention
Cheng Tu.
Specific embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in attached drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.It is to be able to thoroughly understand the disclosure on the contrary, providing these embodiments, and can be by this public affairs
The range opened is fully disclosed to those skilled in the art.
Embodiment according to the present invention proposes a kind of electricity power engineering weather monitoring method for early warning based on GIS, such as Fig. 1
It is shown, which comprises
Step 1): covering province for system, to the built electrical network facilities basic data in the system typing province and
Electrical network facilities basic data in construction, each meteorological data threshold value of warning of each electrical network facilities of typing；
Further, the electrical network facilities basic data includes: title, GIS three-dimensional map coordinate, height above sea level, affiliated administration
Region, on-stream time, time of completion, establishment type, all types of facility three-dimensional space datas, personnel's type, personnel amount.
Further, all types of facility three-dimensional space datas specifically include: the length of all types of facilities.
Step 2): each weather monitoring point current weather data in the province and n hours prediction meteorological datas are obtained and are recorded in real time
Enter the system；
Further, the n value is 1h, 3h, 12h and for 24 hours；
Step 3): according to the province GIS map, vector quantization grid is formed, the meteorological data of each monitoring point, power grid are set
Coordinate is applied to be respectively associated into vector quantization grid；
Further, the meteorological data includes: fire, rainfall, snowfall, temperature, wind-force, wind speed.
Further, the specific division methods of the vector quantization grid are to carry out the province using m*m as unit region
Grid dividing, wherein m value is 1KM, 2KM or 5KM.
Step 4): operation is carried out to meteorological data using interpolation algorithm, forms meteorological data vector quantization grid；
Further, the interpolation algorithm is specially inverse distance weighting；
Further, operation is carried out to meteorological data using interpolation algorithm, forms meteorological data vector quantization grid, it is specific to wrap
It includes:
Grid corresponding to weather monitoring point is set as reference point, remaining grid is estimation point；
According to current each meteorological data of reference point in grid, using inverse distance weighting to the estimation where electrical network facilities
The meteorological data of all types of facilities of point is calculated, obtain currently with the associated each meteorology of all types of facilities in electrical network facilities
Data；
According to each prediction meteorological data in the n hour of reference point each in grid, power grid is set using inverse distance weighting
The meteorological data of all types of facilities of estimation point where applying is calculated, and all types of facilities association in each electrical network facilities is obtained
Each prediction meteorological data.
Further, as follows using calculating process of the inverse distance weighting to estimation point:
Wherein, p0For each establishment type meteorological data of the estimation point where electrical network facilities；piFor the meteorological number of reference point
According to；λiFor the weight of reference point；The λiCalculation method, specifically:
When meteorological data is rainfall, snowfall, temperature data:
Wherein, hiFor the height in electrical network facilities in the three-dimensional space data of a type facilities；diFor electrical network facilities one kind
The plan range of the coordinate of weather monitoring point corresponding to the coordinate and reference point of type facility；N is reference point number；Q is power ginseng
Number；
When meteorological data is fire data:
Wherein, TiThe time of electrical network facilities is reached by reference point for fire；M is the reference point of electrical network facilities wind direction upstream
Number, wherein m < n；Q is power parameter；
When meteorological data is wind data:
Wherein, diThe coordinate of weather monitoring point corresponding to coordinate and reference point for a type facilities of the electrical network facilities
Plan range；M is the reference point number of electrical network facilities wind direction upstream, wherein m < n；Q is power parameter.
Step 5): judge whether each electrical network facilities current weather data are more than meteorological data threshold value of warning, are then carried out in this way
Alarm, and start electrical network facilities scene camera, the condition of a disaster data and live video data are shown in GIS display interface, it is such as no
It thens follow the steps 6)；
Further, obtain currently with electrical network facilities in the associated each meteorological data of all types of facilities after, it is described
Method further include:
Obtain each sensing data at each electrical network facilities scene, comprising: temperature, wind speed, wind direction, air humidity；
When live more than threshold value or electrical network facilities electrical network facilities by the calculated each meteorological data of inverse distance weighting institute
Each sensing data be more than respective threshold when, starting alarm, start power grid scene camera, and show electrical network facilities scene
Each meteorological data and video data；
Step 6): judging whether each electrical network facilities can be more than meteorological data threshold value of warning in the meteorological data in n hours,
It is in this way then alarm, and start electrical network facilities scene camera, the condition of a disaster data and live video are shown in GIS display interface
Data.
Further, described before calculating the associated each prediction meteorological data of all types of facilities in each electrical network facilities
Method further include:
Compare each sensing data at electrical network facilities scene and by the calculated each meteorological data of inverse distance weighting institute, root
According to the weight λ of comparison result adjustment reference pointi；
When the associated each prediction meteorological data of all types of facilities in each electrical network facilities is more than threshold value, starting alarm is opened
Dynamic power grid scene camera, and show each meteorological data and video data at electrical network facilities scene.
Further, the weight λ that reference point is adjusted according to comparison resulti, it specifically includes:
The power parameter q in weight computing formula is adjusted according to comparison result.
Present embodiments provide for a kind of electricity power engineering weather monitoring method for early warning based on GIS, passes through anti-distance weighting
Method constructs meteorological data vector quantization grid, realizes to the accurate weather prognosis of the small range of electrical network facilities；Meanwhile it being set using power grid
The data of the sensor acquisition at the scene of applying adjust the power parameter of inverse distance weighting in real time, improve meteorological data prediction
Accuracy.This method also carries out meteorological data operation by the position just for power grid scene, and reaches in meteorological data
Start power grid scene camera when threshold value, reduces the operand and volume of transmitted data of system entirety, improve the work of system
Efficiency.Implementation based on this system, administrative staff can be apparent from GIS platform, predict the meteorological feelings of each electrical network facilities
Condition makes reply in time, improves the rescue efficiency of electrical network facilities.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of the claim
Subject to enclosing.
Claims (10)
1. a kind of electricity power engineering weather monitoring method for early warning based on GIS, which is characterized in that described method includes following steps:
Step 1): covering province for system, is completed electrical network facilities basic data and hot work in progress to the system typing province
In electrical network facilities basic data, each meteorological data threshold value of warning of each electrical network facilities of typing；
Step 2): each weather monitoring point current weather data in the province and n hours prediction meteorological datas and in real time typing institute are obtained
State system；
Step 3): according to the province GIS map, forming vector quantization grid, and the meteorological data of each monitoring point, electrical network facilities are sat
Mark is respectively associated into vector quantization grid；
Step 4): operation is carried out to meteorological data using interpolation algorithm, forms meteorological data vector quantization grid；
Step 5): judging whether each electrical network facilities current weather data are more than meteorological data threshold value of warning, are then alarmed in this way,
And start electrical network facilities scene camera, the condition of a disaster data and live video data are shown in GIS display interface, are such as otherwise executed
Step 6)；
Step 6): judge whether each electrical network facilities can be more than meteorological data threshold value of warning in the meteorological data in n hours, in this way
It then alarms, and starts electrical network facilities scene camera, the condition of a disaster data and live video number are shown in GIS display interface
According to.
2. the electricity power engineering weather monitoring method for early warning according to claim 1 based on GIS, electrical network facilities basis number
According to include: title, it is GIS three-dimensional map coordinate, height above sea level, affiliated compass of competency, on-stream time, time of completion, establishment type, all kinds of
Type facility three-dimensional space data, personnel's type, personnel amount.
3. the electricity power engineering weather monitoring method for early warning according to claim 2 based on GIS, all types of facilities are three-dimensional
Spatial data specifically includes: the length of all types of facilities.
4. the electricity power engineering weather monitoring method for early warning according to claim 3 based on GIS, the meteorological data include:
Fire, rainfall, snowfall, temperature, wind-force, wind speed.
5. the electricity power engineering weather monitoring method for early warning according to claim 4 based on GIS, the interpolation algorithm are specially
Inverse distance weighting.
6. the electricity power engineering weather monitoring method for early warning according to claim 5 based on GIS, described according to the province
GIS map forms vector quantization grid, specifically includes:
The province is subjected to grid dividing using m*m as unit region, wherein m value is 1KM, 2KM or 5KM.
7. the electricity power engineering weather monitoring method for early warning according to claim 6 based on GIS, described to utilize interpolation algorithm
Meteorological data carries out operation, forms meteorological data vector quantization grid, specifically includes:
Grid corresponding to weather monitoring point is set as reference point, remaining grid is estimation point；
According to current each meteorological data of reference point in grid, using inverse distance weighting to the estimation point where electrical network facilities
The meteorological data of all types of facilities is calculated, obtain currently with the associated each meteorological number of all types of facilities in electrical network facilities
According to；
According to each prediction meteorological data in the n hour of reference point each in grid, using inverse distance weighting to electrical network facilities institute
The meteorological data of all types of facilities of estimation point calculated, all types of facilities obtained in each electrical network facilities are associated each
Predict meteorological data.
8. the electricity power engineering weather monitoring method for early warning according to claim 7 based on GIS, described to utilize anti-distance weighting
Method calculates the meteorological data of all types of facilities of the estimation point where electrical network facilities, specifically:
Wherein, p0For each establishment type meteorological data of the estimation point where electrical network facilities；piFor the meteorological data of reference point；λi
For the weight of reference point.
9. the electricity power engineering weather monitoring method for early warning according to claim 8 based on GIS, is obtaining currently setting with power grid
After the associated each meteorological data of all types of facilities in applying:
Obtain each sensing data at each electrical network facilities scene, comprising: temperature, wind speed, wind direction, air humidity；
When being more than each of threshold value or electrical network facilities electrical network facilities scene by the calculated each meteorological data of inverse distance weighting institute
When sensing data is more than respective threshold, starting alarm starts power grid scene camera, and show each gas at electrical network facilities scene
Image data and video data；
Before calculating the associated each prediction meteorological data of all types of facilities in each electrical network facilities:
Compare each sensing data at electrical network facilities scene with by the calculated each meteorological data of inverse distance weighting institute, according to than
The weight λ of relatively result adjustment reference pointi；
When the associated each prediction meteorological data of all types of facilities in each electrical network facilities is more than threshold value, starting alarm, starting electricity
Live camera is netted, and shows each meteorological data and video data at electrical network facilities scene.
10. the electricity power engineering weather monitoring method for early warning according to claim 1 based on GIS, the n value be 1h, 3h,
12h and for 24 hours.
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| CN109541725B (en) | 2019-11-15 |
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