CN110704530B - Urban center power distribution network visualization system based on big data analysis technology - Google Patents

Urban center power distribution network visualization system based on big data analysis technology Download PDF

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CN110704530B
CN110704530B CN201911120355.3A CN201911120355A CN110704530B CN 110704530 B CN110704530 B CN 110704530B CN 201911120355 A CN201911120355 A CN 201911120355A CN 110704530 B CN110704530 B CN 110704530B
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CN110704530A (en
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许冠中
宁柏锋
周子强
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Shenzhen Power Supply Co ltd
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Shenzhen Power Supply Co ltd
Shenzhen Digital Power Grid Research Institute of China Southern Power Grid Co Ltd
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention provides a visualization system of a power distribution network in a metropolitan area based on a big data analysis technology, which comprises the following components: the real-time data acquisition system is used for acquiring monitoring data of a metropolitan area, wherein the monitoring data comprise 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 center 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; the intelligent display module is used for constructing a three-dimensional panoramic model of the urban center based on the basic data of the urban center and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model. According to the invention, the big data analysis technology is fused with the three-dimensional display effect, the state data of the power distribution network is displayed, and the display effect is good.

Description

Urban center power distribution network visualization system based on big data analysis technology
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 metropolitan area based on big data analysis technology.
Background
At present, the big data analysis technology is applied to the analysis of the power distribution network data, and the accurate analysis results of state prediction, potential threat and the like of the power distribution network can be accurately made through the big data analysis.
However, in the existing big data analysis system, after the data of the power distribution network is analyzed, big data analysis results are intensively output, and due to huge analysis result data, technicians cannot quickly screen out proper or concerned data from the data analysis results, so that the data display effect is poor.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a visualization system for a power distribution network in a metropolitan area based on a big data analysis technology.
The aim of the invention is realized by adopting the following technical scheme:
the utility model provides a city center district distribution network visualization system based on big data analysis technique, includes:
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 comprise 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 center area, wherein the basic data comprise 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;
the intelligent display module is used for constructing a three-dimensional panoramic model of the urban center based on the basic data of the urban center and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model.
In one embodiment, the smart presentation module includes: the model building unit and the data integration unit;
the model construction unit is used for constructing a three-dimensional panoramic model according to geographic information of a city center area based on geographic information system data, and carrying out corresponding marking in the three-dimensional panoramic model according to key equipment position information, power grid planning information and position information of a client;
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 corresponding positions 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; potential anomaly information is analyzed based on the predicted state data.
In one embodiment, a data acquisition system includes: the communication unit and the acquisition unit;
the acquisition units are distributed at different positions of the urban center area 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 transmitting the monitoring data acquired by the acquisition unit to the data server.
In one embodiment, the acquisition unit includes a video acquisition device for acquiring video data of the power site,
the communication unit is connected with the video acquisition device and used for transmitting video data of the power field and position information of the video acquisition device to the data server;
the data integration unit acquires video data of the power field 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 video data of the power field 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:
brightness adjustment processing is carried out on received power field video data, and the brightness adjustment processing comprises the following steps:
1) Carrying out framing treatment on video data to obtain video data images of each frame;
2) The following processing is performed for the video data image of each frame:
21 Transforming the video data image from the RGB color space to the HIS space, obtaining a hue component H, a saturation component S and a brightness component I of the video image;
22 For the brightness component I of the video image, performing global brightness adjustment on the video image, and outputting the brightness component I after the global brightness adjustment 1
23 For output of the globally luminance-adjusted luminance component I a Performing edge smoothing processing to estimate the brightness component I a An illumination component Z and a reflection component F;
24 Equalizing the reflected component F to output an equalized reflected component F a
25 The illumination component Z and the reflection component F after the equalization treatment a Fusion processing is carried out to obtain a brightness component I after enhancement processing b
26 For the luminance component I after enhancement processing b Equalizing to obtain equalized brightness component I c
27 According to the hue component H, the saturation component S and the luminance component I after the equalization process c Synthesizing a new HIS image, further converting the new HIS image into an RGB color space, and outputting the frame brightness adjustment processing video data image;
3) And integrating the brightness adjustment processing video data image of each frame, and outputting the preprocessed video data.
The beneficial effects of the invention are as follows: according to the invention, by arranging a real-time data acquisition system, different types of monitoring data in a metropolitan area are acquired in real time, the monitoring data are sent to a data server in a wireless transmission mode for classification and summarized storage, and the central management acquires required data for big data analysis by accessing the data server, and the output big data analysis result is also synchronized to the data server; the intelligent display module acquires data required by establishing a three-dimensional panoramic model such as geographic information system data from a data server, establishes the three-dimensional panoramic model based on the data, selects proper data from the data server, and displays or marks the data in corresponding positions of the three-dimensional panoramic model according to geographic information corresponding to the data. The method is beneficial to a manager to intuitively observe corresponding data conditions in different scenes in different areas through the three-dimensional panoramic model, and improves the visual display effect of the power distribution network data.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a frame construction diagram of one embodiment of the present invention;
FIG. 2 is a frame construction diagram of another embodiment of the present invention;
fig. 3 is a frame structure diagram of a video processing unit according to the present invention.
Reference numerals:
real-time data acquisition system 1, data server 2, central management module 3, intelligent display module 4, communication unit 11, acquisition unit 12, big data analysis unit 31, model construction unit 41, data integration unit 42, video acquisition device 121, video processing unit 421
Detailed Description
The invention is further described in connection with the following application scenario.
Referring to fig. 1, which illustrates a metropolitan area distribution network visualization system based on big data analysis techniques, comprising:
referring to fig. 1, which illustrates a metropolitan area distribution network visualization system based on big data analysis techniques, comprising: the real-time data acquisition system 1 is arranged in a metropolitan area and is used for acquiring monitoring data of the metropolitan area, wherein the monitoring data comprise state information of power distribution equipment, field operation information, power failure event information and target user load information;
a data server 2 for storing basic data of a metropolitan area and monitoring data, 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 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;
the intelligent display module 4 is used for constructing a three-dimensional panoramic model of the urban center based on the basic data of the urban center, and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model.
In one embodiment, referring to fig. 2, the smart presentation module 4 includes: a model construction unit 41, a data integration unit 42;
the model building unit 41 is configured to build a three-dimensional panoramic model according to geographic information of a metropolitan area based on geographic information system data, and perform corresponding marking in the three-dimensional panoramic model according to position information of key equipment, power grid planning information and position information of a client;
the data integration unit 42 is configured to obtain the monitoring data collected by the real-time data collection system 1 from the data server 2, and mark or display 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 a change trend of predicted state data based on history data of the state data and a change trend of the state data; potential anomaly information is analyzed based on the predicted state data.
In one embodiment, the real-time data acquisition system 1: a communication unit 11, a collection unit 12;
the acquisition unit 12 is distributed at different positions of a city center area and is used for acquiring state information, field operation information, power failure event information and target user load information of power distribution equipment;
and the communication unit 11 is in wireless connection with the acquisition unit 12 and is used for transmitting the monitoring data acquired by the acquisition unit 12 to the data server 2.
According to the embodiment of the invention, the real-time data acquisition system is arranged to acquire different types of monitoring data in the urban center area in real time, the monitoring data are sent to the data server in a wireless transmission mode for classification and summarized storage, the central management obtains the required data for big data analysis by accessing the data server, and the output big data analysis result is also synchronized to the data server; the intelligent display module acquires data required by establishing a three-dimensional panoramic model such as geographic information system data from a data server, establishes the three-dimensional panoramic model based on the data, selects proper data from the data server, and displays or marks the data in corresponding positions of the three-dimensional panoramic model according to geographic information corresponding to the data. The method is beneficial to a manager to intuitively observe corresponding data conditions in different scenes in different areas through the three-dimensional panoramic model, and improves the visual display effect of the power distribution network data.
Meanwhile, aiming at the display of the video data of the power field acquired from the power field, the application also provides an improved video display scheme which comprises the following steps:
in one embodiment, referring to fig. 3, the acquisition unit 12 includes a video acquisition device 121 for acquiring 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 field and position information of the video acquisition device 121 to the data server 2;
the data integration unit 42 acquires video data of the power field from the data server 2 and displays the video data in a corresponding position of the three-dimensional panoramic model according to the position information.
In one embodiment, the data integration unit 42 further includes a video processing unit 421,
the video processing unit 421 is configured to pre-process video data of the power field, and output the pre-processed video data;
the data integration unit 42 displays the preprocessed video data in a three-dimensional panoramic model.
In one embodiment, the video processing unit 421 further includes:
brightness adjustment processing is carried out on received power field video data, and the brightness adjustment processing comprises the following steps:
1) Carrying out framing treatment on video data to obtain video data images of each frame;
2) The following processing is performed for the video data image of each frame:
21 Transforming the video data image from the RGB color space to the HIS space, obtaining a hue component H, a saturation component S and a brightness component I of the video image;
22 For the brightness component I of the video image, performing global brightness adjustment on the video image, and outputting the brightness component I after the global brightness adjustment 1
23 For output of the globally luminance-adjusted luminance component I a Performing edge smoothing processing to estimate the brightness component I a An illumination component Z and a reflection component F;
24 Equalizing the reflected component F to output an equalized reflected component F a
25 The illumination component Z and the reflection component F after the equalization treatment a Fusion processing is carried out to obtain a brightness component I after enhancement processing b
26 For the luminance component I after enhancement processing b Equalizing to obtain equalized brightness component I c
27 According to the hue component H, the saturation component S and the luminance component I after the equalization process c Synthesizing a new HIS image, further converting the new HIS image into an RGB color space, and outputting the frame brightness adjustment processing video data image;
3) And integrating the brightness adjustment processing video data image of each frame, and outputting the preprocessed video data.
In the above embodiment of the present invention, the brightness enhancement adjustment processing is performed on the power field video data, so that the power field video data can be aimed at the slaveIn the method, firstly, the acquired video data is subjected to framing treatment and divided into video images of each frame to be treated, firstly, the video images are converted into an HIS space to acquire the brightness component of the video images, and the brightness component is globally regulated to ensure that the global brightness of the video is at a proper level; and then respectively acquiring an illumination component and a reflection component of the video image, carrying out equalization processing on the reflection component which possibly has brightness interference, eliminating noise interference existing in the reflection component, enhancing the brightness effect of a detail part in the video image, and simultaneously carrying out fusion processing according to the illumination component and the reflection component after the equalization processing to obtain the enhanced video image brightness component and eliminating the noise interference. Finally, performing memory equalization on the enhanced video image brightness component, and readjusting the enhanced video brightness component to obtain a proper equalized brightness component I 3 The method comprises the steps of carrying out a first treatment on the surface of the And re-synthesizing the video data image with the brightness adjusted through the tone component, the saturation component and the brightness component after the equalization processing, and integrating and outputting the video data image with the brightness adjusted of each frame into the video data after the preprocessing.
In one embodiment, the video processing unit 421, 22) performs global luminance adjustment on the luminance component I of the video image, and outputs the luminance component I after the global luminance adjustment a The 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 luminance component of a pixel (m, n) in the video image, wherein 0<I(m,n)<1, a represents a regulatory control factor, I a (m, n) represents the luminance component of the pixel (m, n) after global luminance adjustment, sgn (·) represents a sign function.
According to the embodiment of the invention, the brightness component is globally adjusted according to the brightness information of the image, the brightness component of the video image is adjusted to a proper level, the adjusting amplitude of the part which is too bright or too dark is larger, and the part which is positioned at the comfortable brightness position is finely adjusted, so that the global brightness of the video is at the proper level, meanwhile, the detail part in the image is reserved as much as possible, and the condition of over-adjustment is avoided.
In one embodiment, the video processing unit 421, 25) outputs the illumination component Z and the equalized reflection component F 1 Fusion processing is carried out to obtain a brightness component I after enhancement processing b The method specifically comprises the following steps:
obtaining the brightness component I after enhancement processing by adopting the following component fusion function b
Wherein I is b (m, n) represents the luminance component after enhancement processing of the pixel point (m, n), F a (m, n) represents the reflection component after the pixel (m, n) equalization processing, Z (m, n) represents the irradiation component of the pixel (m, n),and->Representing the reflection and illumination adjustment factors, respectively.
According to the embodiment of the invention, the component fusion function is adopted to irradiate the component and the reflection component, and the fusion adjustment factors of the irradiation component and the reflection component are reasonably set, so that the fused brightness component can remove brightness interference noise and ensure the brightness enhancement effect of the detail part.
In one embodiment, the video processing unit 421, 26) processes the enhanced luminance component I b Equalization processing is carried out to obtain the brightness after the equalization processingDegree component I c The method specifically comprises the following steps:
1) Enhancing the processed luminance component I according to each pixel point in the video image b And the original brightness component I acquires the brightness enhancement scale of the pixel point:
wherein D (m, n) represents the brightness enhancement scale of the pixel point (m, n), I b (m, n) represents the luminance component after the enhancement processing of the pixel (m, n), and I (m, n) represents the original luminance component of the pixel (m, n);
2) Carrying out histogram statistics on a brightness enhancement scale D (m, n) of each pixel point in a video image, respectively obtaining probability statistics of different brightness enhancement scales, taking the brightness enhancement scale D 'with the largest probability in the histogram as a target point, obtaining a gray average value h' of the pixel points included in the maximum brightness enhancement scale D 'of the probability, carrying out equalization processing on the brightness component of each pixel point according to the gray average value h' and the gray value of the pixel point in the original video image as a judgment standard by adopting the following equalization function:
wherein I is c (m, n) represents the luminance component after the equalization processing of the pixel point (m, n), I (m, n) represents the original luminance component of the pixel point (m, n), I b (m, n) represents the luminance component after the enhancement processing of the pixel point m, n); hm, n) represents the gray value of the pixel point (m, n) in the original image, τ represents the equalization coefficient, δ represents the correction factor.
According to the embodiment of the invention, aiming at the situation that the processing effect of the brightness component after the enhancement processing is possibly not obvious for the darker and non-detail part in the image, the distortion of the image is easy to cause, therefore, firstly, the pixel points which are easy to be distorted are screened out according to the brightness enhancement, the pixel points which are low in gray level and easy to be distorted are screened out according to the gray level 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 for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (3)

1. A city center district distribution network visualization system based on big data analysis technology, which 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 comprise state information of power distribution equipment, on-site operation information, power failure event information and target user load information;
the data server is used for storing basic data of a metropolitan area and the monitoring data, wherein the basic data comprise equipment ledgers, 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 operation state prediction;
the intelligent display module is used for constructing a three-dimensional panoramic model of the urban center area based on the basic data of the urban center area, and displaying the monitoring data and the data analysis result in the three-dimensional panoramic model;
the real-time data acquisition system comprises: a communication unit and an acquisition unit;
the acquisition units are distributed at different positions of a city center area and are used for acquiring state information, field operation information, power failure event information and target user load information of 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;
the acquisition unit comprises a video acquisition device and is used for acquiring video data of an electric power field;
the communication unit is connected with the video acquisition device and used for transmitting the video data of the power field and the position information of the video acquisition device to a data server;
the data integration unit acquires video data of the power field from the data server and displays the video data in the corresponding position of the three-dimensional panoramic model according to the position information;
the data integration unit further comprises a video processing unit,
the video processing unit is used for preprocessing the video data of the power field and outputting the preprocessed video data;
the data integration unit displays the preprocessed video data in the three-dimensional panoramic model;
the video processing unit further includes:
brightness adjustment processing is carried out on received power field video data, and the brightness adjustment processing comprises the following steps:
1) Carrying out framing treatment on video data to obtain video data images of each frame;
2) The following processing is performed for the video data image of each frame:
21 Transforming the video data image from the RGB color space to the HIS space, obtaining a hue component H, a saturation component S and a brightness component I of the video image;
22 For the brightness component I of the video image, performing global brightness adjustment on the video image, and outputting the brightness component I after the global brightness adjustment a The method comprises the steps of carrying out a first treatment on the surface of the Comprising 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 luminance component of a pixel (m, n) in the video image, wherein 0<I(m,n)<1, a represents a regulatory control factor, I a (m, n) represents the global luminance-adjusted pixel point (m, n (luminance component, sgn (·) represents a sign function;
23 For output of the globally luminance-adjusted luminance component I a Performing edge smoothing processing to estimate the brightness component I a An illumination component Z and a reflection component F;
24 Equalizing the reflected component F to output an equalized reflected component F a
25 The illumination component Z and the reflection component F after the equalization treatment a Fusion processing is carried out to obtain a brightness component I after enhancement processing b
Obtaining the brightness component I after enhancement processing by adopting the following component fusion function b
Wherein I is b (m, n) represents the luminance component after enhancement processing of the pixel point (m, n), F a (m, n) represents the reflection component after the pixel (m, n) equalization processing, Z (m, n) represents the irradiation component of the pixel (m, n),and->Representing reflection and illumination adjustment factors, respectively;
26 For the luminance component I after enhancement processing b Equalizing to obtain equalized brightness component I c The method comprises the steps of carrying out a first treatment on the surface of the Comprising the following steps:
1) Enhancing the processed luminance component I according to each pixel point in the video image b And originalThe brightness component I obtains the brightness enhancement scale of the pixel point:
wherein D (m, n) represents the brightness enhancement scale of the pixel point (m, n), I b (m, n) represents the luminance component after the enhancement processing of the pixel (m, n), and I (m, n) represents the original luminance component of the pixel (m, n);
2) Carrying out histogram statistics on a brightness enhancement scale D (m, n) of each pixel point in a video image, respectively obtaining probability statistics of different brightness enhancement scales, taking the brightness enhancement scale D 'with the largest probability in the histogram as a target point, obtaining a gray average value h' of the pixel points included in the maximum brightness enhancement scale D 'of the probability, carrying out equalization processing on the brightness component of each pixel point according to the gray average value h' and the gray value of the pixel point in the original video image as a judgment standard by adopting the following equalization function:
wherein I is c (m, n) represents the luminance component after the equalization processing of the pixel point (m, n), I (m, n) represents the original luminance component of the pixel point (m, n), I b (m, n) represents a luminance component after enhancement processing of the pixel point (m, n); h (m, n) represents the gray value of the pixel point (m, n) in the original image, τ represents the equalization coefficient, and δ represents the correction factor;
27 According to the hue component H, the saturation component S and the luminance component I after the equalization process c Synthesizing a new HIS image, further converting the new HIS image into an RGB color space, and outputting the frame brightness adjustment processing video data image;
3) And integrating the brightness adjustment processing video data image of each frame, and outputting the preprocessed video data.
2. The metropolitan area distribution network visualization system based on big data analysis technology of 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 geographic information of a city center area based on geographic information system data, and carrying out corresponding marking in the three-dimensional panoramic model according to key equipment position information, power grid planning information and position information of a 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 corresponding position in the three-dimensional full-precision model.
3. The metropolitan area distribution network visualization system based on big data analysis technology 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; potential anomaly information is analyzed based on the predicted state data.
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