CN102809568A - Method and system for monitoring contamination distribution of insulator - Google Patents
Method and system for monitoring contamination distribution of insulator Download PDFInfo
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- CN102809568A CN102809568A CN2012103115830A CN201210311583A CN102809568A CN 102809568 A CN102809568 A CN 102809568A CN 2012103115830 A CN2012103115830 A CN 2012103115830A CN 201210311583 A CN201210311583 A CN 201210311583A CN 102809568 A CN102809568 A CN 102809568A
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Abstract
The invention discloses a method for monitoring contamination distribution of an insulator. The method comprises the following steps: obtaining a remote sensing image and an electronic map of a monitoring area and determining insulator contamination monitoring points of the monitoring area; collecting lumen depreciation and environment information of each insulator contamination monitoring point, wherein the environment information includes a relative humidity value, a relative temperature value and a wind speed value; calculating an equivalent salt deposit density value and a dust density value on the surface of the insulator according to the lumen depreciation and the environment information; generating an insulator contamination distribution map of the monitoring area by utilizing a geographic information system technology according to the equivalent salt deposit density value, the dust density value, and the remote sensing image and the electronic map of the monitoring area. The invention also discloses a system for monitoring the contamination distribution of the insulator correspondingly. The method and the system can be used for automatically monitoring the contamination distribution condition of the insulator in real time and can realize intelligentized monitoring without manual data collection on site.
Description
Technical field
The present invention relates to power equipment insulator contamination detection technique field, particularly relate to a kind of insulator contamination distribution monitoring method, and a kind of insulator contamination distribution monitoring system.
Background technology
The external insulation level of transmission line of electricity under filthy condition has significant impact to the safe operation of circuit, and the dunghill of insulator surface is one of principal element that influences the insulator contamination resistance characteristics.The pollution flashover accident that causes because of the decline of power transmission and transformation equipment filth external insulation level often has generation, brings about great losses to electrical production.The pollution flashover accident analysis of causes shows that the environmental pollution development of China is very fast, and the external insulation level and the environmental development of power transmission and transforming equipment are inharmonious.Although taked various antifouling modification measures, have blindness during practical implementation, the Insulation Selection of lacking quantitative and configuration foundation.And the monitoring to the filthy degree level of operational outfit at present lacks effective technical means, especially can't accurately grasp in year the development trend of maximum filthy level under the Various Seasonal and meteorological condition and filthy level.Therefore, strengthening the monitoring of equipment and the defect management of transmission line of electricity, is important measures that improve the operation and management level of transmission line of electricity.
The extensive equivalent salt density method that adopts of power department is based on the method for demarcating gradation for surface pollution on the basis of annual cleaning at present.Though this method is simple to operate, need adhere to personnel's specialization, the reliability of instrument, the institutionalization of test job, also need have a power failure or upper boom (tower) work, required input human and material resources are huge, have significant limitation; This method is considered also comprehensive inadequately for long-pending dirty velocity effect, can not instruct the reasonable disposition of external insulation creep distance ratio exactly, and the measurement result dispersiveness is bigger, is difficult to rationally confirm measuring period.
Summary of the invention
Based on this, the present invention provides a kind of insulator contamination distribution monitoring method and system, distribution situation that can the real-time automatic monitoring insulator contamination, and the present invention need not artificial collection in worksite data, can realize intelligent monitoring.
A kind of insulator contamination distribution monitoring method comprises the steps:
Obtain the remote sensing images and the electronic chart of monitored area, confirm the insulator contamination monitoring point of said monitored area;
Gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
According to said luminous flux attenuation and said environmental information, calculate the equivalent salt density value and the grey close value of insulator surface;
According to the remote sensing images and the electronic chart of said equivalent salt density value, the close value of said ash and said monitored area, utilize geographic information system technology to generate the insulator contamination distribution plan of said monitored area.
A kind of insulator contamination distribution monitoring system comprises monitoring point determination module, acquisition module, computing module and generation module;
Said monitoring point determination module is used to obtain the remote sensing images and the electronic chart of monitored area, confirms the insulator contamination monitoring point of said monitored area;
Said acquisition module is used to gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
Said computing module is used for according to said luminous flux attenuation and said environmental information, calculates the equivalent salt density value and the grey close value of insulator surface;
Said generation module is used for remote sensing images and the electronic chart according to said equivalent salt density value, the close value of said ash and said monitored area, utilizes geographic information system technology to generate the insulator contamination distribution plan of said monitored area.
Insulator contamination distribution monitoring method of the present invention and system confirm the monitoring point through the remote sensing images of monitored area, need not the staff and reach the spot and confirm after the investigation again; The filthy data that luminous flux attenuation of gathering through the monitoring point and environmental information calculate insulator surface need not to drop into the huge manpower physics image data of reaching the spot; According to said filthy data; Utilize the powerful image processing techniques of GIS-Geographic Information System to generate this regional insulator contamination distribution plan; Realize real-time, online, carry out intelligent monitoring automatically for a long time; Make things convenient for the staff that the insulator contamination situation in zone is monitored, prevent that effectively pollution flashover accident, work efficiency from significantly improving, the manpower and materials input significantly reduces.
Description of drawings
Fig. 1 is an insulator contamination distribution monitoring method of the present invention schematic flow sheet in one embodiment.
Fig. 2 is an insulator contamination distribution monitoring system of the present invention structural representation in one embodiment.
Embodiment
Below in conjunction with embodiment and accompanying drawing the present invention is done further explain, but embodiment of the present invention is not limited thereto.
As shown in Figure 1, be insulator contamination distribution monitoring method of the present invention schematic flow sheet in one embodiment, comprise the steps:
S11, the remote sensing images that obtain the monitored area and electronic chart are confirmed the insulator contamination monitoring point of said monitored area;
After confirming the zone that to monitor; Can obtain the remote sensing images and the electronic chart of this monitored area earlier; Through remote Sensing Image Analysis should the zone inner insulator historical filthy situation; Analyze the geographical situation that distribution plan and the topography and geomorphology figure analysis-by-synthesis of transformer station, transmission line of electricity in this zone should the zone through electronic chart, confirm the insulator contamination monitoring point;
In a preferred embodiment, step S11 can comprise the steps:
Step a, the remote sensing images that obtain the monitored area and electronic chart; Can get access to the high definition remote sensing images and the electronic chart of monitored area from the geography information center of various places; Wherein, electronic chart can comprise the distribution plan of transformer station and transmission line of electricity in topography and geomorphology figure and the said monitored area of monitored area;
Step b, obtain the insulator contamination data of said monitored area through said remote sensing images, according to the preset class of pollution, monitoring accuracy and said insulator contamination data, each said insulator contamination monitoring point of mark on said remote sensing images;
Because monitored area inner insulator pollution level differs; And remote sensing images can extract spectral signature, space characteristics and the textural characteristics of object; To the characters of ground object of insulator contamination, can obtain this regional insulator contamination data apace through remote sensing images; Through the insulator contamination data that got access to, and the monitoring accuracy that needs of actual monitoring, the preset class of pollution, the monitoring point is set in the zone;
The different class of pollution can be set; Through the remote Sensing Image Analysis technology the filthy situation of this regions is divided into a plurality of piecemeals; The monitoring accuracy of setting according to actual needs combines this regional electronic chart, confirms the insulator contamination monitoring point that this is regional, annotates at the enterprising rower of remote sensing images;
Step c, according to the electronic chart of said monitored area, confirm the geographic position of each said insulator contamination monitoring point;
Behind the mark monitoring point; Utilize the image analysis tool of generalized information system, stackable remote sensing images and electronic chart are according to the insulator contamination monitoring point that has marked; Actual geographic position to each point on electronic chart positions, and accomplishes confirming of geographic position, insulator monitoring point.
Utilize remote sensing images and electronic chart, need not to drop into the huge manpower and materials image data of reaching the spot and also can confirm the insulator contamination monitoring point, work efficiency obviously improves.
S12, gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
After confirming each monitoring point, collect required luminous flux attenuation and the environmental information of analysis insulator contamination through the Fibre Optical Sensor that is installed on each monitoring point, can send to Surveillance center through wireless network.
S13, according to said luminous flux attenuation and said environmental information, calculate the equivalent salt density value (ESDD, equivalent salt deposit density) and the grey close value (NSDD, non soluble deposit density) of insulator surface;
In this step, optical tech capable of using is set up the prediction and calculation model of equivalent salt density value and grey close value through SVMs, specifically can comprise the steps:
Steps d, with reference to the standard relationship curve map of dust ratio, luminous flux attenuation and relative humidity, according to said luminous flux attenuation that collects and said rh value, search corresponding dust ratio;
According to collecting luminous flux attenuation and said rh value, confirm that the method for corresponding dust ratio can be searched through the standard relationship curve map of dust ratio, luminous flux attenuation and relative humidity.
Step e, set up the prediction and calculation model of said equivalent salt density value and the close value of said ash through SVMs;
Some groups of test figure RH capable of using, X (t), Φ (t), ESDD (t), NSDD (t) set up the nonlinear model of relation between a nonlinear model that reflects to concern between ESDD (t) and RH, X (t) and the Φ (t) and NSDD (t) and RH, X (t) and the Φ (t); Just can obtain one group of given RH, X (t) and the close value ESDD of the pairing salt of Φ (t) (t) and ash close value NSDD (t) according to two nonlinear models; Confirming of equivalent salt density value and grey close value model can adopt the existing method of optical tech and SVMs monitoring equivalent salt density value and grey close value of utilizing to realize, do not repeat them here.
Step f, according to said prediction and calculation model, import said luminous flux attenuation, environmental information and dust ratio, calculate said equivalent salt density value and the close value of said ash;
According to the prediction and calculation model among the step e, luminous flux attenuation, environmental information and dust ratio that input collects can be calculated output and obtain the equivalent salt density value.
S14, according to the remote sensing images and the electronic chart of said equivalent salt density value, the close value of said ash and said monitored area, utilize geographic information system technology to generate the insulator contamination distribution plan of said monitored area;
After calculating equivalent salt density value and grey close value; In conjunction with remote sensing images that obtained and electronic chart; Utilize the insulator contamination distribution plan that GIS-Geographic Information System (GIS) technology to drawing should the zone; Here can adopt the three-dimension GIS geographical information platform, according to the equivalent salt density value and the corresponding insulator contamination distribution plan of grey close value generation of each monitoring point; The staff can monitor the filthy situation of this regions intuitively.
Accordingly, the present invention also provides a kind of insulator contamination distribution monitoring system, comprises monitoring point determination module 21, acquisition module 22, computing module 23 and generation module 24;
Said monitoring point determination module 21 is used to obtain the remote sensing images and the electronic chart of monitored area, confirms the insulator contamination monitoring point of said monitored area;
After confirming the zone that to monitor; Can obtain the remote sensing images and the electronic chart of this monitored area earlier; Through remote Sensing Image Analysis should the zone inner insulator historical filthy situation; Analyze the geographical situation that distribution plan and the topography and geomorphology figure analysis-by-synthesis of transformer station, transmission line of electricity in this zone should the zone through electronic chart, confirm the insulator contamination collection point;
In a preferred embodiment, said monitoring point determination module 21 can specifically comprise acquisition module, labeling module and position determination module;
Said acquisition module is used to obtain the remote sensing images and the electronic chart of monitored area; Can get access to the high definition remote sensing images and the electronic chart of monitored area from the geography information center of various places; Wherein, electronic chart can comprise the distribution plan of transformer station and transmission line of electricity in topography and geomorphology figure and the said monitored area of monitored area;
Said labeling module is used for obtaining through said remote sensing images the insulator contamination data of said monitored area; According to the preset class of pollution, monitoring accuracy and said insulator contamination data, each said insulator contamination monitoring point of mark on said remote sensing images; Because monitored area inner insulator pollution level differs, and remote sensing images can extract spectral signature, space characteristics and the textural characteristics of object, to the characters of ground object of insulator contamination, can analyze the filthy situation in this zone apace through remote sensing images; The filthy account of the history of regional inner insulator through having got access to is provided with the monitoring point in the zone;
The different class of pollution can be set; Through the remote Sensing Image Analysis technology the filthy situation of this regions is divided into a plurality of piecemeals; The monitoring accuracy of setting according to actual needs combines this regional electronic chart, confirms the insulator contamination monitoring point that this is regional, annotates at the enterprising rower of remote sensing images;
Said position determination module is used for the electronic chart according to said monitored area, confirms the geographic position of each said insulator contamination monitoring point;
Behind the mark monitoring point, utilize the image analysis tool of generalized information system, stackable remote sensing images and electronic chart position according to the actual geographic position of the insulator contamination monitoring point that has marked to each point, accomplish confirming of insulator monitoring point.
Utilize remote sensing images and electronic chart, need not the image data of reaching the spot, also can confirm the insulator contamination monitoring point, work efficiency obviously improves.
Said acquisition module 22 is used to gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
After confirming each monitoring point, collect required luminous flux attenuation and the environmental information of analysis insulator contamination through the Fibre Optical Sensor that is installed on each monitoring point, can send to Surveillance center through wireless network.
Said computing module 23 is used for according to said luminous flux attenuation and said environmental information, calculates the equivalent salt density value and the grey close value of insulator surface; This module optical tech capable of using is set up the prediction and calculation model of equivalent salt density value and grey close value through SVMs;
In a preferred embodiment, said computing module 23 can specifically comprise to be searched module, sets up module and determination module;
The said module of searching is used for the standard relationship curve map with reference to dust ratio, luminous flux attenuation and relative humidity, according to said luminous flux attenuation that collects and said rh value, searches corresponding dust ratio;
According to luminous flux attenuation that collects and said rh value, the standard relationship curve map through dust ratio, luminous flux attenuation and relative humidity can find corresponding dust ratio.
Saidly set up the prediction and calculation model that module is used for setting up through SVMs said equivalent salt density value and the close value of said ash;
Some groups of test figure RH capable of using, X (t), Φ (t), ESDD (t), NSDD (t) set up the nonlinear model of relation between a nonlinear model that reflects to concern between ESDD (t) and RH, X (t) and the Φ (t) and NSDD (t) and RH, X (t) and the Φ (t); Just can obtain one group of given RH, X (t) and the close value ESDD of the pairing salt of Φ (t) (t) and ash close value NSDD (t) according to two nonlinear models; Confirming of equivalent salt density value and grey close value model can adopt the existing method of optical tech and SVMs monitoring equivalent salt density value and grey close value of utilizing to realize, do not repeat them here.
Said determination module is used for importing said luminous flux attenuation, environmental information and dust ratio according to said prediction and calculation model, calculates said equivalent salt density value and the close value of said ash.
Said generation module 24 is used for remote sensing images and the electronic chart according to said equivalent salt density value, grey close value and said monitored area, utilizes geographic information system technology to generate the insulator contamination distribution plan of said monitored area;
After calculating equivalent salt density value and grey close value; In conjunction with remote sensing images that obtained and electronic chart; Utilize the insulator contamination distribution plan that GIS-Geographic Information System (GIS) technology to drawing should the zone; Here can adopt the three-dimension GIS geographical information platform, according to the equivalent salt density value and the corresponding insulator contamination distribution plan of grey close value generation of each monitoring point; The staff can monitor the filthy situation of this regions intuitively.
Insulator contamination distribution monitoring method of the present invention and system confirm the monitoring point through the remote sensing images of monitored area, need not the staff and reach the spot and confirm after the investigation again; The filthy data that luminous flux attenuation of gathering through the monitoring point and environmental information calculate insulator surface need not to drop into the huge manpower physics image data of reaching the spot; According to said filthy data; Utilize the powerful image processing techniques of GIS-Geographic Information System to generate this regional insulator contamination distribution plan; Realize real-time, online, carry out intelligent monitoring automatically for a long time; Make things convenient for the staff that the insulator contamination situation in zone is monitored, prevent that effectively pollution flashover accident, work efficiency from significantly improving, the manpower and materials input significantly reduces.
The above embodiment has only expressed several kinds of embodiments of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with accompanying claims.
Claims (8)
1. an insulator contamination distribution monitoring method is characterized in that, comprises the steps:
Obtain the remote sensing images and the electronic chart of monitored area, confirm the insulator contamination monitoring point of said monitored area;
Gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
According to said luminous flux attenuation and said environmental information, calculate the equivalent salt density value and the grey close value of insulator surface;
According to the remote sensing images and the electronic chart of said equivalent salt density value, the close value of said ash and said monitored area, utilize geographic information system technology to generate the insulator contamination distribution plan of said monitored area.
2. insulator contamination distribution monitoring method according to claim 1 is characterized in that, said remote sensing images and the electronic chart that obtains the monitored area confirms that the step of the insulator contamination monitoring point of said monitored area specifically comprises:
Obtain the remote sensing images and the electronic chart of said monitored area;
Obtain the insulator contamination data of said monitored area through said remote sensing images, according to the preset class of pollution, monitoring accuracy and said insulator contamination data, each said insulator contamination monitoring point of mark on said remote sensing images;
According to the electronic chart of said monitored area, confirm the geographic position of each said insulator contamination monitoring point.
3. insulator contamination distribution monitoring method according to claim 2 is characterized in that, the electronic chart of said monitored area comprises the distribution plan of transformer station and transmission line of electricity in topography and geomorphology figure and the said monitored area of said monitored area.
4. insulator contamination distribution monitoring method according to claim 1 is characterized in that, and is said according to said luminous flux attenuation and said environmental information, calculates the equivalent salt density value of insulator surface and the step of grey close value and specifically comprises:
With reference to the standard relationship curve map of dust ratio, luminous flux attenuation and relative humidity,, search corresponding dust ratio according to said luminous flux attenuation that collects and said rh value;
Set up the prediction and calculation model of said equivalent salt density value and the close value of said ash through SVMs;
According to said prediction and calculation model, import said luminous flux attenuation, environmental information and dust ratio, calculate said equivalent salt density value and the close value of said ash.
5. an insulator contamination distribution monitoring system is characterized in that, comprises monitoring point determination module, acquisition module, computing module and generation module;
Said monitoring point determination module is used to obtain the remote sensing images and the electronic chart of monitored area, confirms the insulator contamination monitoring point of said monitored area;
Said acquisition module is used to gather the luminous flux attenuation and the environmental information of each said insulator contamination monitoring point; Wherein said environmental information comprises rh value, temperature value and wind speed;
Said computing module is used for according to said luminous flux attenuation and said environmental information, calculates the equivalent salt density value and the grey close value of insulator surface;
Said generation module is used for remote sensing images and the electronic chart according to said equivalent salt density value, the close value of said ash and said monitored area, utilizes geographic information system technology to generate the insulator contamination distribution plan of said monitored area.
6. insulator contamination distribution monitoring system according to claim 5 is characterized in that, said monitoring point determination module specifically comprises acquisition module, labeling module and position determination module;
Said acquisition module is used to obtain the remote sensing images and the electronic chart of said monitored area;
Said labeling module is used for obtaining through said remote sensing images the insulator contamination data of said monitored area; According to the preset class of pollution, monitoring accuracy and said insulator contamination data, each said insulator contamination monitoring point of mark on said remote sensing images;
Said position determination module is used for the electronic chart according to said monitored area, confirms the geographic position of each said insulator contamination monitoring point.
7. insulator contamination distribution monitoring system according to claim 6; It is characterized in that the electronic chart of the said monitored area in the said acquisition module comprises the distribution plan of transformer station and transmission line of electricity in topography and geomorphology figure and the said monitored area of said monitored area.
8. insulator contamination distribution monitoring system according to claim 5 is characterized in that, said computing module specifically comprises to be searched module, set up module and determination module;
The said module of searching is used for the standard relationship curve map with reference to dust ratio, luminous flux attenuation and relative humidity, according to said luminous flux attenuation that collects and said rh value, searches corresponding dust ratio;
Saidly set up the prediction and calculation model that module is used for setting up through SVMs said equivalent salt density value and the close value of said ash;
Said determination module is used for importing said luminous flux attenuation, environmental information and dust ratio according to said prediction and calculation model, calculates said equivalent salt density value and the close value of said ash.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101949807A (en) * | 2010-09-09 | 2011-01-19 | 华南理工大学 | External insulation natural dirt accumulation testing method for high-voltage power transmission line |
CN101976424A (en) * | 2010-10-18 | 2011-02-16 | 江西省电力科学研究院 | Method for generating power system polluted region distribution map by utilizing intelligent rule base engine |
CN102306387A (en) * | 2011-08-31 | 2012-01-04 | 广东电网公司佛山供电局 | Method and device for drawing power grid pollution area distribution graph |
-
2012
- 2012-08-28 CN CN2012103115830A patent/CN102809568A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101949807A (en) * | 2010-09-09 | 2011-01-19 | 华南理工大学 | External insulation natural dirt accumulation testing method for high-voltage power transmission line |
CN101976424A (en) * | 2010-10-18 | 2011-02-16 | 江西省电力科学研究院 | Method for generating power system polluted region distribution map by utilizing intelligent rule base engine |
CN102306387A (en) * | 2011-08-31 | 2012-01-04 | 广东电网公司佛山供电局 | Method and device for drawing power grid pollution area distribution graph |
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