CN110704530A - City center area power distribution network visualization system based on big data analysis technology - Google Patents
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Abstract
The invention provides a city center power distribution network visualization system based on big data analysis technology, which comprises: the real-time data acquisition system is used for acquiring monitoring data of the urban central area, wherein the monitoring data comprises state information of power distribution equipment, field operation information, power failure event information and target user load information; the data server is used for storing basic data and monitoring data of the urban central area; the central management module is used for carrying out data analysis on the monitoring data through a big data technology and outputting a data analysis result; and the intelligent display module is used for constructing a three-dimensional panoramic model of the urban central area based on the basic data of the urban central area and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model. According to the invention, a big data analysis technology and a three-dimensional display effect are fused, the state data of the power distribution network is displayed, and the display effect is good.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to a visualization system for a power distribution network in a central area of an urban area based on big data analysis technology.
Background
At present, a big data analysis technology is applied to data analysis of a power distribution network, and accurate analysis results can be accurately made on state prediction, potential threats and the like of the power distribution network through the big data analysis.
However, the existing big data analysis system generally outputs the big data analysis result in a centralized manner after analyzing the data of the power distribution network, and technicians cannot quickly screen out appropriate or concerned data from the data analysis result due to huge analysis result data, so that the data display effect is poor.
Disclosure of Invention
In order to solve the problems, the invention aims to provide a visualization system for a distribution network in a central area of a city based on a big data analysis technology.
The purpose of the invention is realized by adopting the following technical scheme:
a city center area power distribution network visualization system based on big data analysis technology is provided, which comprises:
the real-time data acquisition system is arranged in the urban center area and is used for acquiring monitoring data of the urban center area, wherein the monitoring data comprises state information of power distribution equipment, field operation information, power failure event information and target user load information;
the data server is used for storing basic data and monitoring data of the urban central area, wherein the basic data comprises equipment ledgers, power grid specification data, Geographic Information System (GIS) data and customer information data;
the central management module is used for carrying out data analysis on the monitoring data through a big data technology and outputting a data analysis result, wherein the data analysis comprises target user load prediction, power failure event early warning and power distribution equipment operation state prediction;
and the intelligent display module is used for constructing a three-dimensional panoramic model of the urban central area based on the basic data of the urban central area and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model.
In one embodiment, the smart presentation module comprises: the model building unit and the data integration unit;
the model building unit is used for building a three-dimensional panoramic model according to the geographic information of the urban central area on the basis of the geographic information system data, and correspondingly marking the three-dimensional panoramic model according to the position information of the key equipment, the power grid planning information and the position information of the client;
and the data integration unit is used for acquiring the monitoring data acquired by the real-time data acquisition system from the data server and marking or displaying the monitoring data at a corresponding position in the three-dimensional full-precision model.
In one embodiment, the central management module includes a big data analysis unit,
the big data analysis unit is used for analyzing and predicting the change trend of the state data according to the historical data of the state data and the change trend of the state data; and analyzing the potential abnormal information according to the predicted state data.
In one embodiment, a data acquisition system comprises: a communication unit, an acquisition unit;
the acquisition units are distributed at different positions of a central area of a city and are used for acquiring state information, field operation information, power failure event information and target user load information of the power distribution equipment;
and the communication unit is in wireless connection with the acquisition unit and is used for sending the monitoring data acquired by the acquisition unit to the data server.
In one embodiment, the acquisition unit comprises a video acquisition device for acquiring video data of the power site,
the communication unit is connected with the video acquisition device and sends video data of a power site and position information of the video acquisition device to the data server;
and the data integration unit acquires the video data of the power site from the data server and displays the video data in the corresponding position of the three-dimensional panoramic model according to the position information.
In one embodiment, the data integration unit further comprises a video processing unit,
the video processing unit is used for preprocessing the video data of the power site and outputting the preprocessed video data;
and the data integration unit displays the preprocessed video data in the three-dimensional panoramic model.
In one embodiment, the video processing unit further comprises:
the method for adjusting the brightness of the received power field video data comprises the following steps:
1) performing frame processing on the video data to obtain a video data image of each frame;
2) the following processing is performed for each frame of video data image:
21) transforming the video data image from FGB color space to HIS space to obtain hue component H, saturation component S and brightness component I of the video image;
22) aiming at the brightness component I of the video image, the global brightness adjustment is carried out on the brightness component I, and the brightness component I after the global brightness adjustment is output1；
23) For outputting the brightness component I after global brightness adjustmentaPerforming edge smoothing to estimate the brightness component IaThe illumination component Z and the reflection component F;
24) equalizing the reflection component F, and outputting the equalized reflection component Fa；
25) The illumination component Z and the equalized reflection component FaPerforming fusion processing to obtain enhanced brightness component Ib；
26) For the enhanced luminance component IbCarrying out equalization processing to obtain the brightness component I after equalization processingc；
27) According to the hue component H, the saturation component S and the brightness component I after equalization processingcSynthesizing a new HIS image, further converting the image into an FGB color space, and outputting the frame brightness adjustment processing video data image;
3) and integrating the brightness-adjusted video data images of each frame, and outputting the preprocessed video data.
The invention has the beneficial effects that: the system comprises a central management system, a data server, a real-time data acquisition system, a data server and a data server, wherein the central management system is used for acquiring monitoring data of different types of urban central areas in real time and sending the monitoring data to the data server in a wireless transmission mode for classification and summary storage; the intelligent display module acquires data required by building a three-dimensional panoramic model such as geographic information system data from the data server, builds the three-dimensional panoramic model on the basis of the data, selects proper data from the data server, and displays or marks the data in the corresponding position of the three-dimensional panoramic model according to the geographic information corresponding to the data. The method is beneficial for a manager to visually observe corresponding data conditions in different areas and different scenes through the three-dimensional panoramic model, and the visual display effect of the power distribution network data is improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of a frame according to one embodiment of the present invention;
FIG. 2 is a block diagram of a frame of another embodiment of the present invention;
FIG. 3 is a block diagram of a video processing unit according to the present invention.
Reference numerals:
the real-time data acquisition system 1, the data server 2, the central management module 3, the intelligent display module 4, the communication unit 11, the acquisition unit 12, the big data analysis unit 31, the model construction unit 41, the data integration unit 42, the video acquisition device 121, and the video processing unit 421
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1, a system for visualizing a distribution network in a city center based on big data analysis technology is shown, which includes:
referring to fig. 1, a system for visualizing a distribution network in a city center based on big data analysis technology is shown, which includes: the real-time data acquisition system 1 is arranged in a city center area and is used for acquiring monitoring data of the city center area, wherein the monitoring data comprises state information of power distribution equipment, field operation information, power failure event information and target user load information;
the data server 2 is used for storing basic data and monitoring data of the urban central area, wherein the basic data comprises equipment ledgers, power grid specification data, Geographic Information System (GIS) data and customer information data;
the central management module 3 is used for carrying out data analysis on the monitored data through a big data technology and outputting a data analysis result, wherein the data analysis comprises target user load prediction, power failure event early warning and power distribution equipment running state prediction;
and the intelligent display module 4 is used for constructing a three-dimensional panoramic model of the urban central area based on the basic data of the urban central area and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model.
In one embodiment, referring to FIG. 2, smart presentation module 4 comprises: a model construction unit 41, a data integration unit 42;
the model building unit 41 is used for building a three-dimensional panoramic model according to the geographic information of the urban central area based on the geographic information system data, and correspondingly marking the three-dimensional panoramic model according to the position information of the key equipment, the power grid planning information and the position information of the client;
and the data integration unit 42 is used for acquiring the monitoring data acquired by the real-time data acquisition system 1 from the data server 2, and marking or displaying the corresponding position in the three-dimensional full-precision model.
In one embodiment, the central management module 3 comprises a big data analysis unit 31,
a big data analysis unit 31 for analyzing and predicting a change trend of the state data based on the history data of the state data and the change trend of the state data; and analyzing the potential abnormal information according to the predicted state data.
In one embodiment, the real-time data acquisition system 1: a communication unit 11, an acquisition unit 12;
the acquisition units 12 are distributed at different positions of a central area of a city and are used for acquiring state information, field operation information, power failure event information and target user load information of the power distribution equipment;
and the communication unit 11 is in wireless connection with the acquisition unit 12 and is used for sending the monitoring data acquired by the acquisition unit 12 to the data server 2.
In the embodiment of the invention, the real-time data acquisition system is arranged to acquire different types of monitoring data of the urban central area in real time, the monitoring data are sent to the data server in a wireless transmission mode to be classified and summarized and stored, the central management accesses the data server to acquire required data for big data analysis, and the output big data analysis result is synchronized to the data server; the intelligent display module acquires data required by building a three-dimensional panoramic model such as geographic information system data from the data server, builds the three-dimensional panoramic model on the basis of the data, selects proper data from the data server, and displays or marks the data in the corresponding position of the three-dimensional panoramic model according to the geographic information corresponding to the data. The method is beneficial for a manager to visually observe corresponding data conditions in different areas and different scenes through the three-dimensional panoramic model, and the visual display effect of the power distribution network data is improved.
Simultaneously, to the show of the on-the-spot video data of electric power of gathering from the electric power scene, this application has still provided an improved video show scheme as follows:
in one embodiment, referring to fig. 3, the capture unit 12 includes a video capture device 121 for capturing video data of the power site,
the communication unit 11 is connected with the video acquisition device 121, and transmits video data of the power site and position information of the video acquisition device 121 to the data server 2;
the data integration unit 42 obtains the video data of the power site from the data server 2, and displays the video data in the corresponding position of the three-dimensional panoramic model according to the position information.
In one embodiment, the data integration unit 42 further comprises a video processing unit 421,
the video processing unit 421 is configured to perform preprocessing on video data of the power field and output the preprocessed video data;
the data integration unit 42 displays the preprocessed video data in the three-dimensional panoramic model.
In one implementation, the video processing unit 421 further includes:
the method for adjusting the brightness of the received power field video data comprises the following steps:
1) performing frame processing on the video data to obtain a video data image of each frame;
2) the following processing is performed for each frame of video data image:
21) transforming the video data image from FGB color space to HIS space to obtain hue component H, saturation component S and brightness component I of the video image;
22) aiming at the brightness component I of the video image, the global brightness adjustment is carried out on the brightness component I, and the brightness component I after the global brightness adjustment is output1；
23) For outputting the brightness component I after global brightness adjustmentaPerforming edge smoothing to estimate the brightness component IaThe illumination component Z and the reflection component F;
24) equalizing the reflection component F, and outputting the equalized reflection component Fa；
25) The illumination component Z and the equalized reflection component FaPerforming fusion processing to obtain enhanced brightness component Ib；
26) For the enhanced luminance component IbAre all carried outCarrying out balance processing to obtain a brightness component I after the balance processingc；
27) According to the hue component H, the saturation component S and the brightness component I after equalization processingcSynthesizing a new HIS image, further converting the image into an FGB color space, and outputting the frame brightness adjustment processing video data image;
3) and integrating the brightness-adjusted video data images of each frame, and outputting the preprocessed video data.
According to the method, firstly, frame division processing is carried out on the obtained video data, the obtained video data are divided into each frame of video image to be processed, firstly, the video image is converted into an HIS space, the brightness component of the video image is obtained, and global adjustment is carried out on the brightness component, so that the global brightness of the video is in a proper level; then, the illumination component and the reflection component of the video image are respectively obtained, the reflection component possibly having brightness interference is subjected to equalization processing, the noise interference existing in the reflection component is eliminated, the brightness effect of the detail part in the video image is enhanced, meanwhile, fusion processing is carried out according to the illumination component and the reflection component after equalization processing, the enhanced video image brightness component is obtained, and the noise interference is eliminated. Finally, the enhanced video image brightness component is processed with memorability equalization, and the enhanced video brightness component is adjusted again to obtain a proper brightness component I after equalization processing3(ii) a And synthesizing the video data image with the adjusted brightness again through the hue component, the saturation component and the brightness component after the equalization processing, and integrating and outputting the video data image with the adjusted brightness of each frame into the video data after the preprocessing.
In one embodiment, in the video processing unit 421, 22) performs global brightness adjustment on the brightness component I of the video image, and outputs the brightness component I after global brightness adjustmentaThe method specifically comprises the following steps:
adjusting the brightness component I of the video image by adopting a global brightness adjusting function, wherein the global brightness adjusting function is as follows:
wherein I (m, n) represents the brightness component of pixel (m, n) in video image, wherein 0 < I (m, n) < 1, a represents adjustment control factor, Ia(m, n) represents the brightness component of the pixel point (m, n) after global brightness adjustment, and sgn (·) represents a sign function.
According to the embodiment of the invention, the brightness component is adjusted globally according to the brightness information of the image, the brightness component of the video image is adjusted to a proper level, wherein the adjustment range of the too bright or too dark part is larger, and the part at the comfortable brightness position is finely adjusted, so that the global brightness of the video is in the proper level, meanwhile, the detail part in the image is kept as much as possible, and the over-adjustment condition is avoided.
In one embodiment, in video processing unit 421, 25) combines illumination component Z and equalized reflection component F1Performing fusion processing to obtain enhanced brightness component IbThe method specifically comprises the following steps:
obtaining the enhanced brightness component I by the following component fusion functionb：
In the formula Ib(m, n) represents the luminance component of the pixel (m, n) after enhancement, Fa(m, n) represents the reflection component after the pixel (m, n) is equalized, Z (m, n) represents the illumination component of the pixel (m, n),
and
respectively representing reflectionAnd an illumination adjustment factor.
According to the embodiment of the invention, the component fusion function is adopted to compare the illumination component with the reflection component, and the fusion adjustment factors of the illumination component and the reflection component are reasonably set, so that the brightness interference noise of the fused brightness component is removed, and the brightness enhancement effect of the detail part is ensured.
In one embodiment, in video processing unit 421, 26) adds the enhanced luminance component IbCarrying out equalization processing to obtain the brightness component I after equalization processingcThe method specifically comprises the following steps:
1) according to the brightness component I after each pixel point in the video image is enhancedbAnd acquiring the brightness enhancement scale of the pixel point by the original brightness component I:
in the formula, D (m, n) represents the brightness enhancement scale of the pixel point (m, n), Ib(m, n) represents the luminance component of the pixel (m, n) after enhancement processing, and I (m, n) represents the original luminance component of the pixel (m, n);
2) performing histogram statistics on the brightness enhancement scale D (m, n) of each pixel point in the video image, respectively obtaining probability statistics of different brightness enhancement scales, taking the brightness enhancement scale D 'with the highest probability in the histogram as a target point, obtaining a gray level mean value h' of the pixel point included in the probability maximum brightness enhancement scale D ', and performing equalization processing on the brightness component of each pixel point by adopting the following equalization function according to the gray level mean value h' and the gray level value of the pixel point in the original video image as judgment standards:
in the formula Ic(m, n) represents the equalized luminance component of the pixel (m, n), I (m, n) represents the original luminance component of the pixel (m, n), I (m, n)b(m, n) represents an enhancement of the pixel (m, n)A processed luminance component; h (m, n) represents the gray value of the pixel point (m, n) in the original image, tau represents the equalization coefficient, and delta represents the correction factor.
According to the embodiment of the invention, aiming at the situation that the processing effect of the darker non-detail part in the image is not obvious in the brightness component after the enhancement processing, the distortion of the image is easily caused, so that the pixel points which are easy to have the distortion are firstly screened out according to the brightness amplification, the pixel points which are easy to distort and have lower gray values are screened out according to the gray information of the pixel points, and the pixel points are enhanced by adopting a direct enhancement processing mode, so that the distortion effect of the image after the brightness adjustment can be reduced, and the image quality is improved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (7)
1. A city center area power distribution network visualization system based on big data analysis technology is characterized by comprising:
the real-time data acquisition system is arranged in the urban center area and is used for acquiring monitoring data of the urban center area, wherein the monitoring data comprises state information of power distribution equipment, field operation information, power failure event information and target user load information;
the data server is used for storing basic data of a city central area and the monitoring data, wherein the basic data comprises an equipment ledger, power grid specification data, geographic information system data and customer information data;
the central management module is used for carrying out data analysis on the monitoring data through a big data technology and outputting a data analysis result, wherein the data analysis comprises target user load prediction, power failure event early warning and power distribution equipment running state prediction;
and the intelligent display module is used for constructing a three-dimensional panoramic model of the urban central area based on the basic data of the urban central area and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model.
2. The big data analysis technology-based urban central area power distribution network visualization system according to claim 1, wherein the intelligent display module comprises: the model building unit and the data integration unit;
the model construction unit is used for constructing a three-dimensional panoramic model according to the geographic information of the urban central area based on the geographic information system data, and correspondingly marking in the three-dimensional panoramic model according to the position information of the key equipment, the power grid planning information and the position information of the client;
and the data integration unit is used for acquiring the monitoring data acquired by the real-time data acquisition system from a data server and marking or displaying the monitoring data at a corresponding position in the three-dimensional full-precision model.
3. The big data analysis technology-based urban central area power distribution network visualization system according to claim 1, wherein the central management module comprises a big data analysis unit,
the big data analysis unit is used for analyzing and predicting the change trend of the state data according to the historical data of the state data and the change trend of the state data; and analyzing the potential abnormal information according to the predicted state data.
4. The big data analysis technology-based urban central area power distribution network visualization system according to claim 1, wherein the real-time data acquisition system comprises: a communication unit, an acquisition unit;
the acquisition units are distributed at different positions of a central area of a city and are used for acquiring state information, field operation information, power failure event information and target user load information of the power distribution equipment;
the communication unit is in wireless connection with the acquisition unit and is used for sending the monitoring data acquired by the acquisition unit to the data server.
5. The big data analysis technology-based urban central area power distribution network visualization system according to claim 4, wherein the acquisition unit comprises a video acquisition device for acquiring video data of an electric power field;
the communication unit is connected with the video acquisition device and sends the video data of the power site and the position information of the video acquisition device to a data server;
and the data integration unit acquires the video data of the power site from the data server and displays the video data in the corresponding position of the three-dimensional panoramic model according to the position information.
6. The big data analysis technology-based urban center area power distribution network visualization system according to claim 5, wherein said data integration unit further comprises a video processing unit,
the video processing unit is used for preprocessing the video data of the power site and outputting the preprocessed video data;
and the data integration unit displays the preprocessed video data in the three-dimensional panoramic model.
7. The big data analysis technology-based urban center area power distribution network visualization system according to claim 6, wherein said video processing unit further comprises:
the method for adjusting the brightness of the received power field video data comprises the following steps:
1) performing frame processing on the video data to obtain a video data image of each frame;
2) the following processing is performed for each frame of video data image:
21) transforming the video data image from FGB color space to HIS space to obtain hue component H, saturation component S and brightness component I of the video image;
22) aiming at the brightness component I of the video image, the global brightness adjustment is carried out on the brightness component I, and the brightness component I after the global brightness adjustment is output1；
23) For outputting the brightness component I after global brightness adjustmentaPerforming edge smoothing to estimate the brightness component IaThe illumination component Z and the reflection component F;
24) equalizing the reflection component F, and outputting the equalized reflection component Fa；
25) The illumination component Z and the equalized reflection component FaPerforming fusion processing to obtain enhanced brightness component Ib；
26) For the enhanced luminance component IbCarrying out equalization processing to obtain the brightness component I after equalization processingc；
27) According to the hue component H, the saturation component S and the brightness component I after equalization processingcSynthesizing a new HIS image, further converting the image into an FGB color space, and outputting the frame brightness adjustment processing video data image;
3) and integrating the brightness-adjusted video data images of each frame, and outputting the preprocessed video data.
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