CN113593191A - Visual urban waterlogging monitoring and early warning system based on big data - Google Patents
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Abstract
The invention relates to urban waterlogging monitoring and early warning, in particular to a visual urban waterlogging monitoring and early warning system based on big data, which comprises a server, a data acquisition unit, an easily waterlogging point judgment unit, a waterlogging prediction unit and a visual display module, wherein the data acquisition unit acquires big data of a rainfall condition, the easily waterlogging point judgment unit analyzes and judges potential easily waterlogging points of an urban area by comparing elevation of measurement points with elevation of peripheral measurement points, the waterlogging prediction unit predicts the waterlogging condition according to water depth of the easily waterlogging points and generates early warning information, and the visual display module respectively visually displays the current waterlogging condition and the predicted waterlogging condition; the technical scheme provided by the invention can effectively overcome the defects that the monitoring data can not be effectively and visually displayed, the urban potential waterlogging-prone point can not be analyzed and judged, and the urban waterlogging condition can not be accurately predicted and analyzed in the prior art.
Description
Technical Field
The invention relates to urban waterlogging monitoring and early warning, in particular to a visualized urban waterlogging monitoring and early warning system based on big data.
Background
With the continuous acceleration of the urbanization process of China, the urban drainage facilities are continuously constructed and developed, the monitoring of the urban drainage facilities is continuously perfected due to the technological progress, and the long-term data accumulation of various monitoring information is realized. However, these data are only recorded and stored, and cannot exert their due functions, so that a comprehensive system integrating monitoring, acquisition, transmission, statistics, analysis and early warning is urgently needed.
The urban waterlogging monitoring and early warning system is constructed to better assist decision and scheduling of the municipal system, comprehensively master urban road drainage conditions and real-time rainfall information, realize comprehensive transmission processing of monitoring data, promote digital and intelligent processes of urban management and lay a good foundation for realizing 'smart cities'.
However, the existing urban waterlogging monitoring and early warning system cannot perform effective visual display on monitoring data, cannot analyze and judge potential waterlogging-prone points of the city, and cannot perform accurate prediction and analysis on urban waterlogging conditions.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a visualized urban waterlogging monitoring and early warning system based on big data, which can effectively overcome the defects that the prior art cannot effectively and visually display the monitored data, cannot analyze and judge potential waterlogging-prone points of the city, and cannot accurately predict and analyze the urban waterlogging condition.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a visualized urban waterlogging monitoring and early warning system based on big data comprises a server, a data acquisition unit, a waterlogging-prone point judgment unit, a waterlogging prediction unit and a visualized display module;
the rainfall condition is subjected to big data acquisition by the data acquisition unit, the potential waterlogging points in the city are analyzed and judged by the waterlogging point judgment unit through comparing the elevation of the measuring points with the elevation of the peripheral measuring points, the waterlogging condition is predicted by the waterlogging prediction unit according to the depth of the waterlogging points, early warning information is generated, and the current waterlogging condition and the predicted waterlogging condition are respectively subjected to visual display by the visual display module.
Preferably, the data acquisition unit comprises distributed data acquisition modules which are distributed at each measuring point and used for acquiring data of rainfall conditions, and a data processing module which is used for carrying out normalization processing and hierarchical display on the acquired data;
the distributed data acquisition module comprises video acquisition equipment, precipitation acquisition equipment and water level acquisition equipment.
Preferably, the data processing module stores the data collected by the distributed data collecting module in time-sharing mode, and performs normalization processing:
the data processing module is used for displaying the normalized data in different colors in a grading manner according to the precipitation display mapping table and the water level display mapping table;
wherein X (m, n) is the collected data of the nth distributed data collection module in the mth group, and Xmin(m) is the minimum value in the m-th set of collected data, XmaxAnd (m) is the maximum value in the m-th group of collected data, and X' (m, n) is normalized data corresponding to X (m, n).
Preferably, the precipitation amount display mapping table includes a plurality of sets of precipitation amount ranges and corresponding display colors, and the water level display mapping table includes a plurality of sets of water level ranges and corresponding display colors.
Preferably, the visual display module displays the rainfall and the water level of each measuring point corresponding to different colors so as to visually display the current waterlogging condition.
Preferably, the waterlogging-prone point judging unit comprises a remote sensing data acquisition module for acquiring remote sensing data of a monitoring area, a data storage module for converting the remote sensing data and storing the remote sensing data in blocks, a data analysis module for comparing and analyzing the elevation of the measuring point with the elevation of peripheral measuring points, and an waterlogging-prone point judging module for analyzing and judging potential waterlogging-prone points of the city according to the comparison and analysis result of the data analysis module.
Preferably, the data storage module converts the remote sensing data of the monitoring area into two-dimensional matrix type digital elevation model data and stores the digital elevation model data in blocks;
the data analysis module determines the position information of each measuring point according to the digital elevation model data and forms a measuring point set according to the position information of the current measuring point and the adjacent measuring points; determining a central point of the measuring point set, and comparing and analyzing the elevation of the central point with the elevation of adjacent measuring points;
when the elevation of the center point is smaller than that of the adjacent measuring point by the aid of the easy waterlogging point judgment module, the current measuring point is judged to be a low-lying point, and when the elevation of the low-lying point is smaller than an elevation threshold value by the aid of the easy waterlogging point judgment module, the current low-lying point is judged to be a potential easy waterlogging point in a city.
Preferably, the waterlogging prediction unit includes:
the hydrologic analysis module is used for analyzing the urban hydrologic data and obtaining the corresponding relation between the ponding quantity and the ponding depth of each waterlogging-prone point;
the historical data analysis module is used for obtaining the corresponding relation between the waterlogging accumulated water volume and the precipitation volume according to the historical urban monitoring data;
the water depth analysis module of the waterlogging-prone point water depth obtains the waterlogging accumulated water quantity according to the current precipitation quantity, and distributes the waterlogging accumulated water quantity to each waterlogging-prone point according to the water-accumulated quantity of each waterlogging-prone point so as to obtain each waterlogging-prone point water depth;
the waterlogging condition prediction module is used for comparing each waterlogging-prone point water depth with the warning water level corresponding to each waterlogging-prone point, and predicting the waterlogging condition according to the comparison result;
and the early warning information generation module is used for generating corresponding early warning information according to the prediction result of the waterlogging condition.
Preferably, the visualization display module performs visualization display on the predicted waterlogging condition, and includes:
calculating the longitude and latitude of the waterlogging-prone points according to the rows and columns of the urban potential waterlogging-prone points in the digital elevation model data matrix and the intervals of the rows and columns and the longitude and latitude of the starting points, and visually displaying the urban potential waterlogging-prone points;
and early warning marks are carried out on the waterlogging-prone points with the depth of the waterlogging larger than the warning water level, and early warning information generated by the early warning information generation module is displayed in an interface.
Preferably, the system further comprises a data uploading module, and the data uploading module sends the current waterlogging condition and the predicted waterlogging condition displayed by the visual display module to mobile terminals of various citizens and supervision departments through different display interfaces.
(III) advantageous effects
Compared with the prior art, the visualized urban waterlogging monitoring and early warning system based on the big data has the following advantages:
1) the potential waterlogging-prone points of the city can be analyzed and judged by the waterlogging-prone point judging unit through comparing the elevation of the measuring points with the elevations of the peripheral measuring points, and the potential waterlogging points in the city can be accurately found, so that the waterlogging points can be conveniently monitored and managed in a targeted manner;
2) the waterlogging condition can be predicted according to the waterlogging-prone point water accumulation depth by using the waterlogging prediction unit, early warning information is generated, and the urban waterlogging condition is accurately predicted and analyzed based on the waterlogging condition of the urban potential waterlogging point;
3) the visual display module respectively carries out visual display to the current waterlogging condition and the forecast waterlogging condition to can be through the data upload module with the current waterlogging condition, the forecast waterlogging condition, with different display interface sends to each citizen and supervisory authority's mobile terminal, be convenient for on the one hand citizen in time to know the waterlogging condition, the rational arrangement trip, on the other hand also can assist municipal system better and make scientific decision-making and dispatch.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow chart of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A visualized urban waterlogging monitoring and early warning system based on big data is shown in figure 1 and comprises a server, a data acquisition unit, a waterlogging-prone point judgment unit, a waterlogging prediction unit and a visualized display module.
The data acquisition unit is used for carrying out big data acquisition on rainfall conditions and comprises distributed data acquisition modules which are distributed at each measuring point and used for carrying out data acquisition on the rainfall conditions and a data processing module used for carrying out normalization processing and grading display on the acquired data.
The distributed data acquisition module comprises video acquisition equipment, precipitation acquisition equipment and water level acquisition equipment.
The data processing module stores the acquired data of the distributed data acquisition module in different time periods and performs normalization processing:
the data processing module displays the normalized data in different colors in a grading way according to the precipitation display mapping table and the water level display mapping table;
wherein, X (m, n) is the collected data of the nth distributed data collection module in the mth group, xmin (m) is the minimum value in the mth group, xmax (m) is the maximum value in the mth group, and X' (m, n) is the normalized data corresponding to X (m, n).
The precipitation display mapping table comprises a plurality of groups of precipitation ranges and corresponding display colors, and the water level display mapping table comprises a plurality of groups of water level ranges and corresponding display colors.
According to the technical scheme, the precipitation display mapping table and the water level display mapping table are constructed in advance, collected data of the distributed data acquisition module after normalization can be displayed in a grading mode through different colors, a display interface is more visual, and the current urban waterlogging condition can be known conveniently and timely.
The urban potential waterlogging-prone point is analyzed and judged by the waterlogging-prone point judging unit through comparing the measuring point elevation with the peripheral measuring point elevation, the waterlogging-prone point judging unit comprises a remote sensing data acquisition module for acquiring remote sensing data of a monitoring area, a data storage module for converting the remote sensing data and storing the remote sensing data in blocks, a data analysis module for carrying out contrastive analysis on the measuring point elevation and the peripheral measuring point elevation, and an waterlogging-prone point judging module for carrying out analysis and judgment on the urban potential waterlogging-prone point according to contrastive analysis results of the data analysis module.
The data storage module converts the remote sensing data of the monitoring area into two-dimensional matrix type digital elevation model data and stores the digital elevation model data in blocks.
The data analysis module determines the position information of each measuring point according to the digital elevation model data, and forms a measuring point set according to the position information of the current measuring point and the adjacent measuring points; and determining a central point of the measuring point set, and comparing and analyzing the elevation of the central point with the elevation of the adjacent measuring points.
When the elevation of the center point is judged to be smaller than that of the adjacent measuring point by the aid of the waterlogging-point judging module, the current measuring point is judged to be a low-lying point, and when the elevation of the low-lying point is judged to be smaller than an elevation threshold value by the waterlogging-point judging module, the current low-lying point is judged to be a potential waterlogging-point of the city.
According to the technical scheme, the position information of each measuring point is determined by collecting the remote sensing data of the monitoring area, the gathering processing is carried out on the periphery of the measuring points according to the position information of the current measuring point and the position information of the adjacent measuring points, whether the current measuring point is a low-lying point or not is judged by comparing and analyzing the elevation of the center point and the elevation of the adjacent measuring points, whether the current low-lying point is a potential easy waterlogging point of a city or not is further judged, and the potential easy waterlogging point of the city is accurately searched.
After the potential waterlogging points in the city are found, the video acquisition equipment located at each measuring point can be driven to acquire pictures of the waterlogging points, so that the waterlogging points can be effectively checked, and meanwhile, the data analysis is carried out on the waterlogging points, and reference basis can be provided for the subsequent pipe network transformation and renovation.
And the waterlogging forecasting unit forecasts the waterlogging condition according to the water depth of the waterlogging-prone point, and generates early warning information. The waterlogging prediction unit comprises:
the hydrologic analysis module is used for analyzing the urban hydrologic data and obtaining the corresponding relation between the ponding quantity and the ponding depth of each waterlogging-prone point;
the historical data analysis module is used for obtaining the corresponding relation between the waterlogging accumulated water volume and the precipitation volume according to the historical urban monitoring data;
the water depth analysis module of the waterlogging-prone point water depth obtains the waterlogging accumulated water quantity according to the current precipitation quantity, and distributes the waterlogging accumulated water quantity to each waterlogging-prone point according to the water-accumulated quantity of each waterlogging-prone point so as to obtain each waterlogging-prone point water depth;
the waterlogging condition prediction module is used for comparing each waterlogging-prone point water depth with the warning water level corresponding to each waterlogging-prone point, and predicting the waterlogging condition according to the comparison result;
and the early warning information generation module is used for generating corresponding early warning information according to the prediction result of the waterlogging condition.
According to the technical scheme, the waterlogging accumulated water amount is obtained based on the current rainfall amount by constructing the corresponding relation between the ponding amount and the ponding depth of each easy waterlogging point and the corresponding relation between the waterlogging accumulated water amount and the rainfall amount, and the waterlogging accumulated water amount is distributed to each easy waterlogging point according to the ponding amount of each easy waterlogging point, so that the ponding depth of each easy waterlogging point is obtained. The waterlogging condition prediction module can predict the waterlogging condition according to the difference value between the waterlogging-prone water depth and the warning water level.
The visual display module can be through constructing city three-dimensional model to combine GIS system to carry out the integration of data and model, carry out visual display respectively to the current waterlogging condition and the prediction waterlogging condition, and can utilize high performance three-dimensional rendering technique to render, provide more audio-visual flood control early warning for the city.
The visual display module displays precipitation and water levels of different colors corresponding to the measuring points so as to visually display the current waterlogging condition.
The visual display module is used for visually displaying the predicted waterlogging condition and comprises the following steps:
calculating the longitude and latitude of the waterlogging-prone points according to the rows and columns of the urban potential waterlogging-prone points in the digital elevation model data matrix and the intervals of the rows and columns and the longitude and latitude of the starting points, and visually displaying the urban potential waterlogging-prone points;
and early warning marks are carried out on the waterlogging-prone points with the depth of the waterlogging larger than the warning water level, and early warning information generated by the early warning information generation module is displayed in an interface.
According to the technical scheme, the system further comprises a data uploading module, and the data uploading module sends the current waterlogging condition and the predicted waterlogging condition displayed by the visual display module to mobile terminals of various citizens and supervision departments through different display interfaces.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The utility model provides a visual urban waterlogging monitoring and early warning system based on big data which characterized in that: the system comprises a server, a data acquisition unit, a waterlogging-prone point judgment unit, a waterlogging prediction unit and a visual display module;
the rainfall condition is subjected to big data acquisition by the data acquisition unit, the potential waterlogging points in the city are analyzed and judged by the waterlogging point judgment unit through comparing the elevation of the measuring points with the elevation of the peripheral measuring points, the waterlogging condition is predicted by the waterlogging prediction unit according to the depth of the waterlogging points, early warning information is generated, and the current waterlogging condition and the predicted waterlogging condition are respectively subjected to visual display by the visual display module.
2. The visualized urban waterlogging monitoring and early warning system based on big data as claimed in claim 1, wherein: the data acquisition unit comprises distributed data acquisition modules which are distributed at each measuring point and used for acquiring data of rainfall conditions and a data processing module used for carrying out normalization processing and hierarchical display on the acquired data;
the distributed data acquisition module comprises video acquisition equipment, precipitation acquisition equipment and water level acquisition equipment.
3. The visualized urban waterlogging monitoring and early warning system based on big data as claimed in claim 2, wherein: the data processing module stores the acquired data of the distributed data acquisition module in time intervals and performs normalization processing:
the data processing module is used for displaying the normalized data in different colors in a grading manner according to the precipitation display mapping table and the water level display mapping table;
wherein X (m, n) is the collected data of the nth distributed data collection module in the mth group, and Xmin(m) is the minimum value in the m-th set of collected data, XmaxAnd (m) is the maximum value in the m-th group of collected data, and X' (m, n) is normalized data corresponding to X (m, n).
4. The visualized urban waterlogging monitoring and early warning system based on big data as claimed in claim 3, wherein: the precipitation display mapping table comprises a plurality of groups of precipitation ranges and corresponding display colors, and the water level display mapping table comprises a plurality of groups of water level ranges and corresponding display colors.
5. The visualized urban waterlogging monitoring and early warning system based on big data as claimed in claim 3, wherein: the visual display module displays precipitation and water levels of different colors corresponding to the measuring points so as to visually display the current waterlogging condition.
6. The visualized urban waterlogging monitoring and early warning system based on big data as claimed in claim 1, wherein: the waterlogging-prone point judging unit comprises a remote sensing data acquisition module, a data storage module, a data analysis module and an waterlogging-prone point judging module, wherein the remote sensing data acquisition module is used for acquiring remote sensing data of a monitoring area, the data storage module is used for converting the remote sensing data and storing the remote sensing data in blocks, the data analysis module is used for carrying out contrastive analysis on the elevation of a measuring point and the elevation of peripheral measuring points, and the waterlogging-prone point judging module is used for carrying out analysis and judgment on potential waterlogging-prone points of a city according to contrastive analysis results of the data analysis module.
7. The visualized urban waterlogging monitoring and early warning system based on big data according to claim 6, characterized in that: the data storage module converts the remote sensing data of the monitoring area into two-dimensional matrix type digital elevation model data and stores the digital elevation model data in blocks;
the data analysis module determines the position information of each measuring point according to the digital elevation model data and forms a measuring point set according to the position information of the current measuring point and the adjacent measuring points; determining a central point of the measuring point set, and comparing and analyzing the elevation of the central point with the elevation of adjacent measuring points;
when the elevation of the center point is smaller than that of the adjacent measuring point by the aid of the easy waterlogging point judgment module, the current measuring point is judged to be a low-lying point, and when the elevation of the low-lying point is smaller than an elevation threshold value by the aid of the easy waterlogging point judgment module, the current low-lying point is judged to be a potential easy waterlogging point in a city.
8. The visualized urban waterlogging monitoring and early warning system based on big data according to claim 7, characterized in that: the waterlogging prediction unit includes:
the hydrologic analysis module is used for analyzing the urban hydrologic data and obtaining the corresponding relation between the ponding quantity and the ponding depth of each waterlogging-prone point;
the historical data analysis module is used for obtaining the corresponding relation between the waterlogging accumulated water volume and the precipitation volume according to the historical urban monitoring data;
the water depth analysis module of the waterlogging-prone point water depth obtains the waterlogging accumulated water quantity according to the current precipitation quantity, and distributes the waterlogging accumulated water quantity to each waterlogging-prone point according to the water-accumulated quantity of each waterlogging-prone point so as to obtain each waterlogging-prone point water depth;
the waterlogging condition prediction module is used for comparing each waterlogging-prone point water depth with the warning water level corresponding to each waterlogging-prone point, and predicting the waterlogging condition according to the comparison result;
and the early warning information generation module is used for generating corresponding early warning information according to the prediction result of the waterlogging condition.
9. The visualized urban waterlogging monitoring and early warning system based on big data according to claim 8, characterized in that: the visual display module is used for visually displaying the predicted waterlogging condition and comprises the following steps:
calculating the longitude and latitude of the waterlogging-prone points according to the rows and columns of the urban potential waterlogging-prone points in the digital elevation model data matrix and the intervals of the rows and columns and the longitude and latitude of the starting points, and visually displaying the urban potential waterlogging-prone points;
and early warning marks are carried out on the waterlogging-prone points with the depth of the waterlogging larger than the warning water level, and early warning information generated by the early warning information generation module is displayed in an interface.
10. The visualized urban waterlogging monitoring and early warning system based on big data according to claim 5 or 9, characterized in that: the system further comprises a data uploading module, and the data uploading module is used for transmitting the current waterlogging condition and the predicted waterlogging condition displayed by the visual display module to mobile terminals of various citizens and supervision departments through different display interfaces.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114119776A (en) * | 2022-01-26 | 2022-03-01 | 江西省大气探测技术中心 | Urban waterlogging point management method, system, storage medium and equipment |
| CN116502029A (en) * | 2023-04-26 | 2023-07-28 | 上饶高投智城科技有限公司 | Smart city big data analysis and system based on Hadoop MapReduce |
| CN117198003A (en) * | 2023-09-19 | 2023-12-08 | 北京建筑大学 | Waterlogging risk early warning method and device, electronic equipment and storage medium |
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