CN104655030A - Power transmission line icing detecting and early-warning device - Google Patents
Power transmission line icing detecting and early-warning device Download PDFInfo
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- CN104655030A CN104655030A CN201510084484.7A CN201510084484A CN104655030A CN 104655030 A CN104655030 A CN 104655030A CN 201510084484 A CN201510084484 A CN 201510084484A CN 104655030 A CN104655030 A CN 104655030A
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Abstract
The invention discloses a power transmission line icing detecting and early-warning device. Filtering and edge detection are performed on image information transmitted through a network and acquired by a camera, coordinates of boundary contour points in an image are recorded through binarization processing and boundary tracking, finally, coordinates of boundary points before and behind a power transmission line are compared comprehensively, and the icing thickness of the power transmission line at the moment is obtained through calibration by the aid of the diameter of the power transmission line; data analysis is performed according to micro-meteorological parameters acquired by a data acquisition module, under the assistance of a lead tension change trend diagram and an icing thickness change trend diagram in a set time period, in combination with stored historical icing thicknesses, icing conditions and icing thicknesses in the next three to five days are predicted according to meteorological parameter conditions under which icing is formed easily, the line designed icing thickness and the actually measured icing thickness, and early-warning signals are sent out. With the adoption of the device, online detection is performed on icing of the power transmission line, meanwhile, dynamic early-warning can be realized, and analysis and early-warning can be performed on icing information timely.
Description
Technical field
The present invention relates to a kind of detection and prior-warning device, in particular a kind of powerline ice-covering detects and prior-warning device.
Background technology
Transmission line of electricity in the winter time sleety weather especially easily freezes, once temperature is lower, ice covering thickness is higher, easily breaks or draw damage transmission line of electricity, thus causes larger loss.
A kind of powerline ice-covering on-line measuring device is disclosed in Chinese utility model patent CN201420490936, it is by comprising sensor unit, master controller, communication unit and power supply unit, power supply unit is connecting sensor unit, master controller and communication unit respectively, and master controller is connecting sensor unit and communication unit respectively; Sensor unit comprises pulling force sensor, two-dimension tilt angle sensor, three-dimensional ultrasonic wind speed wind direction sensor and Temperature Humidity Sensor, pulling force sensor is located between iron tower of power transmission line and insulator chain, two-dimension tilt angle sensor is fixed on pulling force sensor, and three-dimensional ultrasonic wind speed and direction sensing inspection device and Temperature Humidity Sensor are separately fixed at the cross-arm place of transmission line of electricity.This device carries out on-line checkingi to the icing of transmission line of electricity.But in prior art, calculate comparatively consuming time to the ice covering thickness recognition methods of circuit, and designed system and device can not provide prediction to ice covering thickness future developing trend and early warning work.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide a kind of powerline ice-covering and detect and prior-warning device, the existing thickness of icing of transmission line of electricity can not only be measured, and can predict the future trend of ice covering thickness.
The present invention is achieved by the following technical solutions, the present invention includes camera, for gathering transmission pressure image information;
Data acquisition module, for gathering the microclimate parameter of transmission pressure;
Detect and early warning analysis module, comprise icing detection module and ice-coating pre-warning module, described icing detection module is: carry out filter edge detection to the image information of the camera collection by Internet Transmission, and record boundary profile point coordinate in the picture by binary conversion treatment and frontier tracing, finally by the frontier point coordinate before and after Integrated comparative transmission pressure, and carry out with transmission pressure diameter demarcating the ice covering thickness drawing transmission pressure at that time;
Described ice-coating pre-warning module is: the microclimate parameter according to data collecting module collected carries out data analysis, be aided with the wire tension changing trend diagram in setting-up time section and ice covering thickness changing trend diagram, in conjunction with the history ice covering thickness according to storage, according to easily forming the meteorologic parameter condition of icing, the ice covering thickness of line design ice thickness and actual measurement predicts the ice covering thickness of icing situation to following three to five days, and sends early warning signal;
Control center, receives and detects and the analysis of early warning analysis module and early warning signal.
Described microclimate parameter comprises pulling force, angle, meteorological condition, the wire icing thickness of insulator chain on transmission pressure.
Described data acquisition module is sent data to by GPRS and detects and early warning analysis module.
The testing process of described icing detection module comprises the following steps:
(11) edge extracting is carried out to the transmission pressure image information gathered;
(12) thickness of icing is drawn by Thickness sensitivity analysis, Adaptive Thresholding is adopted to detect ice covering thickness, setting threshold value converts modulus value image to bianry image, then utilize line scanning and column scan to find start boundary point, and carry out tracking on this basis and draw whole boundary profile and then draw ice covering thickness;
(13) classification report is carried out according to the size of icing ratio, icing ratio
wherein β
1for first wire icing standard thickness of monitoring, β
nfor n-th wire icing standard thickness of monitoring, β
dfor line design ice covering thickness, make three grades of reports when icing ratio is 0.4 ~ 0.5 and be comparatively dangerous, make secondary report when icing ratio is 0.5 ~ 0.6 and be danger, make one-level report when icing ratio is greater than 0.6 and be abnormally dangerous.
In described step (11), multiresolution wavelet changing method is adopted to extract edge.
In described step (12), thickness is divided into four classes, be respectively 10mm, 15mm, 20mm, 30mm, first threshold value is taken as mxm., then threshold value is reduced gradually, at each threshold value place, grand master pattern value image is converted into corresponding bianry image, detect the boundary profile of the initial part of wire and insulator, the size of initial part is determined by image size and resolution simultaneously, until find the initial part boundary profile meeting setting feature, selected initial part boundary profile is one section of level of approximation straight-line segment.
The prealarming process of described ice-coating pre-warning module comprises the following steps:
(21) the real-time weather data with predicting of weather monitoring department and actual area is collected, and temperature threshold, humidity threshold;
(22) monitor instantaneous wind speed and the mean wind speed in ten minutes, when wind speed is less than 3m/s, wire icing speed is directly proportional to wind speed; When wire icing is the fastest, wind speed is 3 ~ 6m/s; When wind speed is greater than 6m/s, wire icing speed and wind speed are inversely proportional to;
(23) ice covering thickness of linear regression is carried out according to passing history microclimate data;
(24) thickness trends of following three to five days is reported.
In described step (23), regretional analysis is divided into study and prediction two processes:
First given training dataset, includes history microclimate data,
T={(x
1,y
1),(x
2,y
2),...,(x
n,y
n)}
Wherein x
i∈ R
n, i ∈ 1 ..., n is microclimate data, and y ∈ R is corresponding ice covering thickness value, and learning system builds model based on training data, i.e. function Y=f (X);
To the current microclimate data x of new input
n+1, prognoses system is determined to export y accordingly according to the model Y=f (X) learnt
n+1, now Output rusults is the ice covering thickness of prediction.
The present invention has the following advantages compared to existing technology: the present invention realizes on-line checkingi to powerline ice-covering, simultaneously can dynamic early-warning, in time analysis and early warning is carried out to icing information, managerial personnel are allowed to understand the actual conditions at circuit scene in time, ensure to start ice-melt measure evidence-based, simultaneously for the commanding and decision-making of the anti-ice disaster relief provides technical support.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 detects the workflow diagram with early warning analysis module.
Embodiment
Elaborate to embodiments of the invention below, the present embodiment is implemented under premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, the present embodiment comprises camera, for gathering transmission pressure image information; Data acquisition module, for gathering the microclimate parameter of transmission pressure; Detect and early warning analysis module, comprise icing detection module and ice-coating pre-warning module, described icing detection module is: carry out filter edge detection to the image information of the camera collection by Internet Transmission, and record boundary profile point coordinate in the picture by binary conversion treatment and frontier tracing, finally by the frontier point coordinate before and after Integrated comparative transmission pressure, and carry out with transmission pressure diameter demarcating the ice covering thickness drawing transmission pressure at that time;
Described ice-coating pre-warning module is: the microclimate parameter according to data collecting module collected carries out data analysis, be aided with the wire tension changing trend diagram in setting-up time section and ice covering thickness changing trend diagram, in conjunction with the history ice covering thickness according to storage, according to easily forming the meteorologic parameter condition of icing, the ice covering thickness of line design ice thickness and actual measurement predicts the ice covering thickness of icing situation to following three to five days, and sends early warning signal; Control center, receives and detects and the analysis of early warning analysis module and early warning signal.
The microclimate parameter of the present embodiment comprises pulling force, angle, meteorological condition, the wire icing thickness of insulator chain on transmission pressure.The pulling force of the present embodiment is recorded by the pulling force sensor be arranged on insulator chain.
The camera of the present embodiment is the industrial camera of more than 5,000,000 pixels.
The data acquisition module of the present embodiment is sent data to by GPRS and detects and early warning analysis module.
As shown in Figure 2, the testing process of icing detection module comprises the following steps:
(11) edge extracting is carried out to the transmission pressure image information gathered; The present embodiment adopts multiresolution wavelet changing method to extract edge, wavelet transformation has good local property in time domain and frequency domain simultaneously, when carrying out edge extracting to wire image, when the scale parameter of Wavelet transformation is less, the thin change that gray scale occurs can be detected, and when scale parameter is larger, the thick change that image occurs can be detected.In the denoising of transmission pressure image, rim detection and contours extract, effect is more excellent.
In the present embodiment, if smoothing equation
meet following two conditions:
Condition one:
Condition two:
The present embodiment defines two directive wavelet functions:
Then wavelet transformation can be expressed as with vector form along two components in x and y direction:
Now,
with
reflect the gradient of gradation of image along x and y direction respectively.
Vector field homoemorphism value is
The wire ice sheet image border place that the present embodiment obtains is by the local model maximum value place at vector.By adjustment yardstick s, namely realize the extraction work of wire ice sheet image border.
(12) thickness of icing is drawn by Thickness sensitivity analysis, Adaptive Thresholding is adopted to detect ice covering thickness, setting threshold value converts modulus value image to bianry image, then utilize line scanning and column scan to find start boundary point, and carry out tracking on this basis and draw whole boundary profile and then draw ice covering thickness; Thickness is divided into four classes, be respectively 10mm, 15mm, 20mm, 30mm, first threshold value is taken as mxm., then threshold value is reduced gradually, at each threshold value place, grand master pattern value image is converted into corresponding bianry image, detect the boundary profile of the initial part of wire and insulator, the size of initial part is determined by image size and resolution simultaneously, until find the initial part boundary profile meeting setting feature, selected initial part boundary profile is one section of level of approximation straight-line segment, the initial part of detection boundaries profile instead of detection initial point.Greatly can reduce the interference of noise.
(13) classification report is carried out according to the size of icing ratio, icing ratio
wherein β
1for first wire icing standard thickness of monitoring, β
2for second wire icing standard thickness of monitoring, β
3for the 3rd wire icing standard thickness of monitoring, β
4for the 4th wire icing standard thickness of monitoring, β
dfor line design ice covering thickness, unit is all mm, makes three grades of reports and is comparatively dangerous, make secondary report and be danger when icing ratio is 0.5 ~ 0.6, make one-level report and be abnormally dangerous when icing ratio is greater than 0.6 when icing ratio is 0.4 ~ 0.5.
The prealarming process of ice-coating pre-warning module comprises the following steps:
(21) the real-time weather data with predicting of weather monitoring department and actual area is collected, comprise the information such as temperature, rainfall intensity, snowfall, wind speed, snowfall intensity, sudden strain of a muscle thunder frequency, wind-force, wind direction, rainfall amount, and temperature threshold, humidity threshold, temperature threshold is 0 ~ 5 DEG C; Relative humidity is for being greater than 85%;
(22) monitor instantaneous wind speed and the mean wind speed in ten minutes, judge whether instantaneous wind speed is greater than 4m/s, and in ten minutes, whether mean wind speed is greater than 1m/s.After temperature and humidity condition possesses, wind speed plays an important role to wire icing.Wind energy is enough transfers to overhead transmission line continuously by a large amount of supercooling water droplets, and collide with wire, progressively accelerate icing after being caught by wire, when wind speed is less than 3m/s, wire icing speed is directly proportional to wind speed; When wire icing is the fastest, wind speed is 3 ~ 6m/s; When wind speed is greater than 6m/s, wire icing speed and wind speed are inversely proportional to;
(23) ice covering thickness of linear regression is carried out according to passing history microclimate data; The regression analysis that the present embodiment adopts is for predicting the relation between input variable (history microclimate data) and output variable (thickness prediction), and the method makes its matching given data well and prediction unknown data by utilizing history microclimate data selection to go out a function curve.Regretional analysis is divided into study and prediction two processes:
First given training dataset, includes history microclimate data,
T={(x
1,y
1),(x
2,y
2),...,(x
n,y
n)}
Wherein x
i∈ R
n, i ∈ 1 ..., n is microclimate data, and y ∈ R is corresponding ice covering thickness value,
Learning system builds model based on training data, i.e. function Y=f (X);
To the current microclimate data x of new input
n+1, prognoses system is determined to export y accordingly according to the model Y=f (X) learnt
n+1, now Output rusults is the ice covering thickness of prediction, and the loss function that the present embodiment adopts is quadratic loss function.
(24) thickness trends of following three to five days is reported.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. powerline ice-covering detects and a prior-warning device, it is characterized in that, comprises camera, for gathering transmission pressure image information;
Data acquisition module, for gathering the microclimate parameter of transmission pressure;
Detect and early warning analysis module, comprise icing detection module and ice-coating pre-warning module, described icing detection module is: carry out filter edge detection to the image information of the camera collection by Internet Transmission, and record boundary profile point coordinate in the picture by binary conversion treatment and frontier tracing, finally by the frontier point coordinate before and after Integrated comparative transmission pressure, and carry out with transmission pressure diameter demarcating the ice covering thickness drawing transmission pressure at that time;
Described ice-coating pre-warning module is: the microclimate parameter according to data collecting module collected carries out data analysis, be aided with the wire tension changing trend diagram in setting-up time section and ice covering thickness changing trend diagram, in conjunction with the history ice covering thickness according to storage, according to easily forming the meteorologic parameter condition of icing, the ice covering thickness of line design ice thickness and actual measurement predicts the ice covering thickness of icing situation to following three to five days, and sends early warning signal;
Control center, receives and detects and the analysis of early warning analysis module and early warning signal.
2. a kind of powerline ice-covering according to claim 1 detects and prior-warning device, and it is characterized in that, described microclimate parameter comprises pulling force, angle, meteorological condition, the wire icing thickness of insulator chain on transmission pressure.
3. a kind of powerline ice-covering according to claim 1 detects and prior-warning device, it is characterized in that, described data acquisition module is sent data to by GPRS and detects and early warning analysis module.
4. a kind of powerline ice-covering according to claim 1 detects and prior-warning device, and it is characterized in that, the testing process of described icing detection module comprises the following steps:
(11) edge extracting is carried out to the transmission pressure image information gathered;
(12) thickness of icing is drawn by Thickness sensitivity analysis, Adaptive Thresholding is adopted to detect ice covering thickness, setting threshold value converts modulus value image to bianry image, then utilize line scanning and column scan to find start boundary point, and carry out tracking on this basis and draw whole boundary profile and then draw ice covering thickness;
(13) classification report is carried out according to the size of icing ratio, icing ratio
wherein β
1for first wire icing standard thickness of monitoring, β
nfor n-th wire icing standard thickness of monitoring, β
dfor line design ice covering thickness, make three grades of reports when icing ratio is 0.4 ~ 0.5 and be comparatively dangerous, make secondary report when icing ratio is 0.5 ~ 0.6 and be danger, make one-level report when icing ratio is greater than 0.6 and be abnormally dangerous.
5. a kind of powerline ice-covering according to claim 4 detects and prior-warning device, it is characterized in that, in described step (11), adopts multiresolution wavelet changing method to extract edge.
6. a kind of powerline ice-covering according to claim 4 detects and prior-warning device, it is characterized in that, in described step (12), thickness is divided into four classes, be respectively 10mm, 15mm, 20mm, 30mm, first threshold value is taken as mxm., then threshold value is reduced gradually, at each threshold value place, grand master pattern value image is converted into corresponding bianry image, detect the boundary profile of the initial part of wire and insulator simultaneously, the size of initial part is determined by image size and resolution, until find the initial part boundary profile meeting setting feature, selected initial part boundary profile is one section of level of approximation straight-line segment.
7. a kind of powerline ice-covering according to claim 1 detects and prior-warning device, and it is characterized in that, the prealarming process of described ice-coating pre-warning module comprises the following steps:
(21) the real-time weather data with predicting of weather monitoring department and actual area is collected, and temperature threshold, humidity threshold;
(22) monitor instantaneous wind speed and the mean wind speed in ten minutes, when wind speed is less than 3m/s, wire icing speed is directly proportional to wind speed; When wire icing is the fastest, wind speed is 3 ~ 6m/s; When wind speed is greater than 6m/s, wire icing speed and wind speed are inversely proportional to;
(23) ice covering thickness of linear regression is carried out according to passing history microclimate data;
(24) thickness trends of following three to five days is reported.
8. a kind of powerline ice-covering according to claim 7 detects and prior-warning device, it is characterized in that, in described step (23), regretional analysis is divided into study and prediction two processes:
First given training dataset, includes history microclimate data,
T={(x
1,y
1),(x
2,y
2),...,(x
n,y
n)}
Wherein x
i∈ R
n, i ∈ 1 ..., n is microclimate data, and y ∈ R is corresponding ice covering thickness value, and learning system builds model based on training data, i.e. function Y=f (X);
To the current microclimate data x of new input
n+1, prognoses system is determined to export y accordingly according to the model Y=f (X) learnt
n+1, now Output rusults is the ice covering thickness of prediction.
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