CN113076373A - Sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query method and system - Google Patents
Sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for displaying real-time hydrological monitoring big data and inquiring space of a sea area flow field and erosion depth, which are used for constructing a hydrological monitoring flow field data processing model, receiving a flow field layer map service calling request of a user front end interface by using a server data management platform, inputting real-time monitoring flow field data into the flow field data processing model, outputting a visual view of the hydrological monitoring data and returning the visual view to the user front end interface, thereby realizing real-time automatic analysis of the monitoring data, providing an intuitive monitoring data GIS (geographic information system) expression mode, realizing visual space inquiry of the monitoring data, reducing data return delay, improving the real-time efficiency of hydrological monitoring and greatly reducing labor cost.
Description
Technical Field
The invention relates to the technical field of wireless communication and the technical field of sea area flow field real-time monitoring, in particular to a sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query method and system.
Background
With the continuous progress of the GIS and the mobile communication technology and the rapid development of the hydrological monitoring technology, hydrological monitoring is advancing towards the direction of multiple elements and all elements, including the monitoring of multiple elements such as rainfall, water level, wind speed and direction, salinity and sediment, visibility, water quality, flow speed and flow, and the obtained hydrological monitoring data is exponentially increased.
In the prior art, a processing method for massive hydrological monitoring data is that acquired flow field and erosion depth hydrological monitoring data can be displayed at a WEB front end only through complicated processing flows such as effective data extraction, data space analysis, data service release and the like, and the processing flow cannot be automated, so that higher requirements are put forward on the professional performance of processing personnel. Meanwhile, data processing and analyzing work for a long time in the early stage easily causes that hydrologic monitoring results are not fed back timely, so that the information timeliness is poor. On the other hand, in the hydrologic monitoring data display in the prior art, the monitoring condition at the present stage is mostly displayed by displaying two-dimensional chart information, and the hydrologic monitoring data is not associated with the real geographical position, so that the data cannot be visually displayed.
Disclosure of Invention
Aiming at the problems in the background technology, a brand-new sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query method is provided. The method comprises the steps of constructing a hydrologic monitoring flow field data processing model, receiving a flow field layer map service calling request of a user front end interface by a server data management platform, inputting real-time monitoring flow field data into the flow field data processing model, outputting a visual view of the hydrologic monitoring data and returning the visual view to the user front end interface, so that real-time automatic analysis of the monitoring data is realized, an intuitive monitoring data GIS expression mode is provided, visual space query of the monitoring data is realized, data return delay is reduced, the real-time efficiency of hydrologic monitoring is improved, and the labor cost is greatly reduced.
The invention relates to a method for displaying real-time hydrological monitoring big data and inquiring space of a sea area flow field and erosion and deposition depth, which comprises the following steps: constructing a hydrologic monitoring flow field data processing model, inputting real-time monitoring flow field data into the flow field data processing model, and outputting a visual view of the hydrologic monitoring data; the encapsulation data processing step of the hydrologic monitoring flow field data processing model comprises the following steps:
s1, acquiring hydrologic monitoring flow field data, wherein the flow field data comprises flow field point coordinates, flow field point flow velocity parameters, flow field point flow direction parameters and time information;
s2, spreading the flow field point coordinates into a geographic space of a WGS84 coordinate system, deriving a point element layer, and carrying out UTM projection;
s3, performing Kriging interpolation on the flow field point flow velocity parameters to obtain an interpolation rendering image symbol, performing projection transformation on the flow velocity distribution grid diagram to obtain a WGS84 coordinate system, and configuring the flow velocity distribution grid diagram by using the interpolation rendering image symbol;
s4, performing thinning processing on the flow field points to obtain a flow field point map layer; carrying out symbol configuration on the flow field point layer by using the flow field point flow direction parameter;
and S5, superposing the flow field point map layer on the flow velocity distribution grid map, and issuing a flow field map layer map service.
The invention constructs a hydrologic monitoring flow field data processing model, encapsulates all processing processes and processing logics for real-time monitoring flow field data in the model, issues a flow field layer map service, can call the model for operation at the front end of a user, inputs parameters through a web end, and outputs a result. After the hydrologic monitoring flow field data processing model is constructed, new hydrologic data are monitored by the front end of a user, and a monitoring result can be automatically generated through the flow field data processing model for displaying. And complicated data analysis operation is not needed, so that analysis automation and dynamic data updating are realized. The hydrological data can be automatically displayed from the two-dimensional display of the original data to the three-dimensional display, the more visual GIS expression of the graphical hydrological data is provided, the stability and the low time delay of data transmission are ensured, and the working efficiency of hydrological monitoring is improved.
Specifically, the acquisition frequency of the hydrologic monitoring flow field data is once every 30 minutes, the flow field point coordinates, the flow field point flow velocity parameters and the flow field point flow direction parameters are returned once every 30 minutes according to time information, and the generated visual views of the hydrologic monitoring data are arranged in time sequence; the flow field point coordinates, the flow field point flow velocity parameters, the flow field point flow direction parameters and the time information are represented by text data in a txt format or an xls format, the flow field point coordinates comprise an abscissa and an ordinate of a flow field point using a measurement station as a base point, the flow field point flow velocity parameters are real-time flow velocity values of the flow field point, the flow field point flow direction parameters are real-time water flow directions of the flow field point, the flow field point flow velocity parameters are represented by numerical values of 0 to 359, the real-time water flow direction is a positive north direction and is marked as 0, and the clockwise gradually-increased degree increases to 359.
Further, the interpolated rendering image symbol is a gradient color from red to blue for describing the flow velocity, and the more blue the color of the interpolated rendering image symbol is, the larger the flow velocity is represented.
Further, the flow field data processing model is a processing model issued after processing logic is packaged into a flow field map layer map service after processing steps of the hydrologic monitoring flow field data are listed, and the flow field data processing model receives the flow field data monitored at the front end and outputs a visual view.
Furthermore, the point element map layer is a map layer which derives flow field data carried by flow field points spread on a geographical space position, so that the flow field points have graphic information; and the transformation between the UTM projection and the WGS84 coordinate system enables the flow field data to be visually displayed, the color of the flow velocity distribution raster graph is black and white when the flow velocity distribution raster graph is transformed into the WGS84 coordinate system by projection, and the flow velocity distribution raster graph carries flow field point flow velocity parameters and is colored after the flow velocity distribution raster graph is configured by the interpolation rendering image symbols.
Further, performing rarefaction processing on the flow field points to obtain flow field point layers; the step of performing symbol configuration on the flow field point layer by using the flow field point flow direction parameter includes:
inputting a target monitoring boundary range, dividing the target monitoring boundary range into a plurality of square thinning grids of 1km x 1km, and sequentially marking id of the square thinning grids as grid 1 and grid 2 … … grid n;
establishing spatial connection between the flow field point and the thinning grid, and adding grid id to the flow field point information of the corresponding spatial position;
counting the occurrence frequency of each grid id in the flow field point information, and extracting a first type of flow field point corresponding to the grid id which only appears once;
if the grid id appears more than once in the flow field point information, extracting a second type of flow field point which is closest to the center of the square in the grid;
summarizing the first type of flow field points and the second type of flow field points, and combining the first type of flow field points and the second type of flow field points into a flow field point diagram layer after the thinning treatment;
and configuring a flow field point layer by using the flow direction parameters, and expressing the flow direction parameter information carried by the first type of flow field points and the second type of flow field points by using a direction arrow to obtain a symbolized flow field point layer.
Further, the flow field point map layer is superimposed on the flow velocity distribution grid map, so that a visual view of the hydrologic monitoring data can be obtained, wherein the visual view includes: color expression of flow velocity distribution of flow field points subjected to thinning treatment in the target monitoring boundary range, arrow expression of flow direction of the flow field points and time information;
the flow field layer map service is a service which can be accessed by a user through a front-end interface and can be used for executing different data processing on a hydrologic monitoring flow field data processing model.
The invention also provides a system for displaying the real-time hydrological monitoring big data of the sea area flow field and the erosion depth and inquiring the space, which comprises the following steps:
the system comprises a hydrological monitoring module, a flow field layer map service module and a server data management platform;
the hydrologic monitoring module is used for acquiring hydrologic monitoring flow field data and transmitting the hydrologic monitoring flow field data to the server data management platform;
the flow field layer map service module is used for calling a hydrologic monitoring flow field data processing model to output the hydrologic monitoring flow field data into a visual view;
and the server data management platform is used for receiving a flow field layer map service calling request of a user front-end interface and returning the visual view to the user front-end interface.
Further, the present invention provides a readable storage medium having a control program stored thereon, characterized in that: when being executed by a processor, the control program realizes the method for displaying the large data and inquiring the space of the sea area flow field and the erosion depth real-time hydrological monitoring.
Further, the present invention provides a computer control system, including a storage, a processor, and a control program stored in the storage and executable by the processor, wherein: when the processor executes the control program, the method for displaying the sea area flow field and the erosion and deposition depth real-time hydrological monitoring big data and inquiring the space is realized.
In order that the invention may be more clearly understood, specific embodiments thereof will be described hereinafter with reference to the accompanying drawings.
Drawings
Fig. 1 is a general flow chart of hydrological flow field data processing according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a process for constructing a hydrological flow field data processing model according to a first embodiment of the present invention;
FIG. 3 is a grid diagram of a flow velocity distribution according to a first embodiment of the present invention;
fig. 4 is a schematic view of a general flow of erosion-deposition depth data processing according to a second embodiment of the present invention;
FIG. 5 is a schematic diagram of a erosion-deposition depth data processing model building process according to a second embodiment of the present invention;
FIG. 6 is a flow chart of a system for displaying real-time hydrological monitoring big data and inquiring space of a sea area flow field and erosion depth according to an embodiment of the present invention;
fig. 7 is a schematic view of a hydrological monitoring front end according to an embodiment of the present invention.
Detailed Description
Please refer to fig. 1, which is a general flow chart of processing hydrographic flow field data according to a first embodiment of the present invention;
in one embodiment of the invention, the hydrologic monitoring flow field data processing model is applied to a sea area flow field geospatial processing service.
And acquiring original flow field data of the station by a hydrological monitoring module, wherein the original flow field data are text data with X and Y values of flow field point coordinates, flow velocity parameters of the flow field points, flow direction parameters of the flow field points and time information.
The acquired flow field points comprise coordinates, flow velocity, flow direction and time. The flow field points are treated in two layers: and the flow rate parameter processing and the flow direction parameter processing are realized by dividing into two layers, and finally, the two layers are superposed to form a visual view of a final result.
The principle of flow velocity parameter processing is that a Kriging interpolation is carried out according to flow velocity parameters, and an interpolation rendering symbol is configured on a flow velocity grid graph to obtain a symbolized flow velocity grid graph;
the principle of flow direction parameter processing is that a plurality of grids of 1km x 1km are generated according to a target monitoring boundary range, grid id and all flow field points are connected in a one-to-one space mode, practically, all the flow field points are divided into points in the grids of 1km x 1km, redundant flow field points are filtered, flow direction parameters of the flow field points which are left after thinning processing are displayed through symbol configuration, and a symbolized flow direction layer is obtained;
and superposing the two symbolized layers, and placing the flow map layer on the flow velocity grid map, namely, reserving the flow direction of the flow field points after rarefaction and the visual view of flow velocity symbol display, and issuing the flow field map service. The visualization view includes: the method comprises the following steps of color expression of flow velocity distribution of flow field points subjected to thinning treatment in a target monitoring boundary range, arrow expression of flow direction of the flow field points and time information.
Specifically, for processing of raw data of the flow field, flow field points are first spread into a geographic space by using X, Y coordinates, and the coordinate system is WGS84 coordinate system. At this time, the displayed flow field points only display data in spatial positions, but do not contain data information carried by the flow field points, so that when a hydrologic monitoring flow field data processing model is constructed, original data needs to be converted into a point element layer, that is, flow field data carried by the flow field points is derived, and the flow field points in the layer carry graphic information.
And for the flow velocity parameters, performing spatial flow velocity value interpolation by adopting a Krigin interpolation method to obtain an interpolation result rendering image map, which represents the flow velocity condition in a spatial range. And performing symbolic rendering on the rendered image, wherein the interpolation rendered image symbol is a gradient color from red to blue for describing the flow velocity, and the more blue the color of the interpolation rendered image symbol is, the more the representative flow velocity is.
The kriging interpolation method is to use the flow velocity value to carry out difference to generate a rendering effect graph, firstly considers the variation distribution of the spatial attribute on the spatial position, determines the distance range influencing a to-be-interpolated value, and then uses the sampling points in the range to estimate the attribute value of the to-be-interpolated point. According to different sample space positions and different correlation degrees among samples, different weights are given to the grades of each sample, and the average grade of the central block section is estimated by carrying out sliding weighted average. The method has the advantages that the Crimen interpolation is set for displaying, so that the flow rate at which place is larger can be seen, and the flow rate at which place is higher can be seen more visually.
For the flow direction parameters, because the data volume is huge, the directions of all flow field points are displayed by arrows, which causes disorder and influences the appearance and expression, and therefore, the flow field point data needs to be thinned. Firstly, constructing 1 km-1 km grid elements, and only keeping points closest to the center point of each grid in each grid to obtain flow field points after thinning. Flow direction parameters in the original data of the flow field, namely the real-time water flow direction of flow field points, are represented by numerical values 0 to 359, wherein 0 is the true north direction, the flow direction numerical values are gradually increased to 359 clockwise degree by degree, arrow symbols are set for the water flow direction numerical values, and the flow speed direction of each point is displayed by an arrow in a map.
Please refer to fig. 2, which is a schematic diagram illustrating a process for constructing a hydrological flow field data processing model according to a first embodiment of the present invention;
s1, acquiring hydrologic monitoring flow field data, wherein the flow field data comprises flow field point coordinates, flow field point flow velocity parameters, flow field point flow direction parameters and time information;
importing flow field original data and a target boundary range into a model as input parameters, and generating a grid of 1km x 1km according to the input target boundary range;
s2, spreading the flow field point coordinates into a geographic space of a WGS84 coordinate system, deriving a point element layer, and performing one-to-one spatial connection on the flow field point and a grid id;
and S3 flow parameter processing:
s31 UTM projection is carried out on the flow field point element layer under WGS84 coordinate system
S32 performing Krigin interpolation analysis on the flow field point flow velocity parameter to obtain an interpolation rendering image symbol
S33, cutting the flow velocity distribution grid map according to the target boundary range
S34 projectively transforming the flow velocity raster map into a WGS84 coordinate system
S35 flow rate raster layer configured by interpolation rendering image symbols
S4 flow to parameter processing:
s41, generating a grid of 1km x 1km according to the input target boundary range; inputting a target monitoring boundary range, dividing the target monitoring boundary range into a plurality of square thinning grids of 1km x 1km, and sequentially marking id of the square thinning grids as grid 1 and grid 2 … … grid n;
s42, carrying out one-to-one spatial connection on the grid id and the flow field points, and adding the grid id to each corresponding flow field point;
s43 counts the number of times of the same grid id, i.e. the number of flow field points in each grid
S44, extracting the first type flow field points corresponding to the grid id which appears only once;
s45, if the grid id occurs more than once in the flow field point information, taking the second type of flow field point closest to the center of the square in the grid; namely, the flow field point with the closest distance to the central point of the grid is reserved, and only one flow field point in each grid is ensured
S46 merging the first kind of flow field points and the second kind of flow field points, namely the flow field point diagram layer after thinning
S47, setting arrow signs according to the flow direction parameters in the flow field layer after rarefaction, expressing the flow direction parameter information carried by the first type flow field points and the second type flow field points by direction arrows, and obtaining the signed flow field point layer.
And S5, superposing the flow field point map layer on the flow velocity distribution grid map, and issuing a flow field map layer map service.
Specifically, the acquisition frequency of the hydrologic monitoring flow field data is once every 30 minutes, the flow field point coordinates, the flow field point flow velocity parameters and the flow field point flow direction parameters are returned once every 30 minutes according to time information, and the generated visual views of the hydrologic monitoring data are arranged in time sequence; the flow field point coordinates, the flow field point flow velocity parameters, the flow field point flow direction parameters and the time information are represented by text data in a txt format or an xls format, the flow field point coordinates comprise an abscissa and an ordinate of a flow field point using a measurement station as a base point, the flow field point flow velocity parameters are real-time flow velocity values of the flow field point, the flow field point flow direction parameters are real-time water flow directions of the flow field point, the flow field point flow velocity parameters are represented by numerical values of 0 to 359, the real-time water flow direction is a positive north direction and is marked as 0, and the clockwise gradually-increased degree increases to 359.
Further, the flow field data processing model is a processing model issued after processing logic is packaged into a flow field map layer map service after processing steps of the hydrologic monitoring flow field data are listed, and the flow field data processing model receives the flow field data monitored at the front end and outputs a visual view.
Furthermore, the point element map layer is a map layer which derives flow field data carried by flow field points spread on a geographical space position, so that the flow field points have graphic information; the transformation between the UTM projection and the WGS84 coordinate system allows for visual display of flow field data.
FIG. 3 is a grid diagram of a flow velocity distribution according to a first embodiment of the present invention; the color of the flow velocity distribution grid graph is black and white when the flow velocity distribution grid graph is transformed into a WGS84 coordinate system through projection, the flow velocity grid of the hydrological flow field in the whole target monitoring boundary range distinguishable in the schematic diagram of fig. 3 consists of dark color parts and light color parts, and after the flow velocity distribution grid graph is configured by using the interpolation rendering image symbol, the flow velocity distribution grid graph carries flow field point flow velocity parameters, and the color is color. The interpolation rendering image symbol is a gradient color from red to blue for describing the flow velocity, and the more blue the color of the interpolation rendering image symbol is, the larger the flow velocity is represented. On the basis of fig. 3, the symbolized flow velocity distribution grid diagram is bluer in dark color parts and redder in light color parts, and the water flow velocity in the hydrologic monitoring flow field range can be visually shown.
In another embodiment of the invention, the hydrologic monitoring flow field data processing model is applied to erosion depth geospatial processing service.
Please refer to fig. 4, which is a schematic view of a general flow of erosion depth data processing according to a second embodiment of the present invention;
the method comprises the steps of collecting erosion and deposition original data of a measuring station through a hydrological monitoring module, wherein the erosion and deposition original data are text data with X and Y values of erosion and deposition point coordinates, erosion and deposition depth values and time information.
Specifically, for processing erosion original data, an erosion point is first mapped into a geographic space by using X, Y coordinates, and a coordinate system is a WGS84 coordinate system. At the moment, the spread erosion and deposition points only show data in spatial positions, but do not contain data information carried by the points, so that when an erosion and deposition depth data processing model is constructed, original data needs to be converted into a point element layer, namely, the erosion and deposition depth values carried by the erosion and deposition points are derived, and the points in the layer have graphic information.
And for the erosion depth value, carrying out interpolation analysis on the spatial erosion depth value by adopting a kriging interpolation method to obtain an interpolation result rendering image to represent the erosion condition in the spatial range. And performing symbolic rendering on the rendered image.
Please refer to fig. 5, which is a schematic diagram illustrating a erosion depth data processing model according to a second embodiment of the present invention;
step1, acquiring hydrologic monitoring erosion and deposition original data, wherein the erosion and deposition original data are text data with X and Y values of erosion and deposition point coordinates, erosion and deposition depth values and time information
Importing the erosion and deposition original data and the target boundary range into a model as input parameters;
step 2, spreading the erosion and deposition point coordinates into a geographic space of a WGS84 coordinate system, and deriving a point element map layer;
step 3, erosion and deposition data processing:
step 31, carrying out UTM projection on the map layer of the undershoot point element of the WGS84 coordinate system;
step 32, performing Krigin interpolation analysis on the erosion depth value to obtain an erosion depth symbol;
step 33, cutting the erosion depth grid map according to the target boundary range;
step 34, projectively transforming the erosion depth grid map into a WGS84 coordinate system;
step 35, configuring a erosion and deposition depth grid pattern layer by using an erosion and deposition depth symbol;
step 4 release flow field map layer map service
Please refer to fig. 6, which is a flow chart of a real-time hydrological monitoring big data display and space query system for sea area flow field and erosion depth according to an embodiment of the present invention;
the user can access and execute different data processing services on the GIS service through the functional module of the front-end interface, and the different data processing services correspond to different data processing models. The GIS service is the flow field layer map service released in the embodiment of the present invention, and a user can invoke different data processing services on a hydrologic monitoring flow field data processing model in the GIS service through a front-end interface, such as erosion depth geospatial processing service and sea area flow field geospatial processing service. The processing logic of the user calling service is as follows:
hydrologic real-time monitoring data are transmitted and stored to a server data management platform through a network, a user opens the hydrologic monitoring module, and the front end calls a geographic space processing service for releasing a flow field and erosion and deposition data;
the server data management platform receives the front-end request, executes the geospatial processing service, acquires a geospatial processing service model corresponding to the parameter according to the front-end parameter, performs time-consuming calculation according to the complexity of a model algorithm and the data volume, and returns corresponding monitoring data after calculation;
the front end realizes the real-time display effect of the hydrologic monitoring data according to the received data after analysis and processing;
meanwhile, data of different time nodes can be obtained through an interface, a geospatial processing service task is executed according to different specific time nodes as parameters, and flow field and erosion depth visualization views under different time nodes are checked;
by monitoring a mouse click event of a user, the system automatically executes space query operation on data, acquires a click position coordinate and a time node, calls a geographic space processing service to execute computation of a geographic space processing model, acquires different flow field flow rates or erosion and deposition depths of corresponding positions, and displays the result on the front end for display.
Fig. 7 is a schematic diagram of the hydrological monitoring front end according to the embodiment of the present invention.
The front-end display diagram comprises the called geospatial processing service name, time information, a water flow field real scene in a target monitoring boundary range, a flow field point flow arrow after the thinning processing and different area flow rate color displays corresponding to the flow rate legend.
The invention carries out the development and analysis of the sea area flow field and the erosion depth data in the hydrological monitoring, the sea area flow field indicates the flow direction and the flow speed in the sea area range, and the erosion depth indicates the erosion depth condition of the seabed. The method has the advantages that real-time automatic analysis of the monitoring data is achieved in the face of mass hydrological flow fields and erosion and deposition monitoring data, a more visual GIS expression mode is provided, visualization and space query of the monitoring data are achieved, and the method has an important effect on preventing potential risks of marine cables and improving the marine research and application level.
Compared with the prior art, the invention provides the method for displaying the real-time hydrological monitoring big data and inquiring the space of the sea area flow field and the erosion depth, which can realize the automatic processing flow.
In the invention, massive real-time monitoring flow field and erosion and deposition data are transmitted to the system through a network, the front end calls the built geospatial processing service to automatically analyze and process the monitoring data transmitted to the system in real time, and complicated data analysis operation is not needed, so that analysis automation and dynamic data updating are realized. The automation from two-dimensional display of the original data to three-dimensional display of the hydrological data is realized, and the more intuitive GIS expression of the graphical hydrological data is provided. And displaying the space-time sequence of the data according to the acquisition time of the monitoring data. And analyzing and inquiring corresponding data by taking the time node and the geographic position as parameters, thereby realizing the time sequence data processing capacity and the space data processing capacity.
The invention can realize hydrologic monitoring, forecasting and early warning, provides timely, accurate and comprehensive hydrologic information forecasting information, can be applied to ocean protection, can be subsequently extended to flood and drought disaster prevention, water resource scheduling management and water ecological water engineering supervision, and provides reliable support and guarantee for economic and social development.
The traditional hydrological monitoring method shows the monitoring condition at the present stage by showing two-dimensional chart information, does not correlate hydrological monitoring data with a real geographical position, and cannot visually show the data. The invention constructs a hydrologic monitoring flow field data processing model, receives a flow field layer map service calling request of a user front end interface by using a server data management platform, inputs real-time monitoring flow field data into the flow field data processing model, outputs a visual view of the hydrologic monitoring data and returns the visual view to the user front end interface, thereby realizing real-time automatic analysis of the monitoring data, providing the visual view of the monitoring result for a front end user, directly displaying the hydrologic monitoring analysis result in a live-action map through color and arrow marks, providing a visual monitoring data GIS expression mode, realizing visual space query of the monitoring data, reducing data return delay, improving the real-time efficiency of hydrologic monitoring, ensuring the stability and low time delay of data transmission and greatly reducing labor cost.
The invention carries out the development and analysis of the sea area flow field and the erosion depth data in the hydrological monitoring, the sea area flow field indicates the flow direction and the flow speed in the sea area range, and the erosion depth indicates the erosion depth condition of the seabed. The method has the advantages that real-time automatic analysis of the monitoring data is achieved in the face of mass hydrological flow fields and erosion and deposition monitoring data, a more visual GIS expression mode is provided, visualization and space query of the monitoring data are achieved, and the method has an important effect on preventing potential risks of marine cables and improving the marine research and application level.
The present invention is not limited to the above-described embodiments, and various modifications and variations of the present invention are included in the scope of the claims and the equivalent technology of the present invention if they do not depart from the spirit and scope of the present invention.
Claims (10)
1. A method for displaying and inquiring space of real-time hydrological monitoring big data of a sea area flow field and erosion and deposition depth comprises the following steps:
constructing a hydrologic monitoring flow field data processing model, inputting real-time monitoring flow field data into the flow field data processing model, and outputting a visual view of the hydrologic monitoring data;
the encapsulation data processing step of the hydrologic monitoring flow field data processing model comprises the following steps:
acquiring hydrologic monitoring flow field data, wherein the flow field data comprises flow field point coordinates, flow velocity parameters of the flow field points, flow direction parameters of the flow field points and time information;
spreading the flow field point coordinates into a geographic space of a WGS84 coordinate system, deriving a point element layer, and performing UTM projection;
performing Kriging interpolation on the flow field point flow velocity parameters to obtain an interpolation rendering image symbol, performing projection transformation on the flow velocity distribution grid diagram to obtain a WGS84 coordinate system, and configuring the flow velocity distribution grid diagram by using the interpolation rendering image symbol;
performing thinning treatment on the flow field points to obtain a flow field point map layer; carrying out symbol configuration on the flow field point layer by using the flow field point flow direction parameter;
and superposing the flow field point map layer on the flow velocity distribution grid map, and issuing a flow field map layer map service.
2. The method for displaying the real-time hydrological monitoring big data and inquiring the space of the sea area flow field and the erosion depth according to claim 1, wherein the method comprises the following steps: the acquisition frequency of the hydrologic monitoring flow field data is once every 30 minutes, the flow field point coordinates, the flow field point flow velocity parameters and the flow field point flow direction parameters return once every 30 minutes according to time information, and the generated visual views of the hydrologic monitoring data are arranged in time sequence; the flow field point coordinates, the flow field point flow velocity parameters, the flow field point flow direction parameters and the time information are represented by text data in a txt format or an xls format, the flow field point coordinates comprise an abscissa and an ordinate of a flow field point using a measurement station as a base point, the flow field point flow velocity parameters are real-time flow velocity values of the flow field point, the flow field point flow direction parameters are real-time water flow directions of the flow field point, the flow field point flow velocity parameters are represented by numerical values of 0 to 359, the real-time water flow direction is a positive north direction and is marked as 0, and the clockwise gradually-increased degree increases to 359.
3. The method for displaying the sea area flow field and the erosion depth real-time hydrological monitoring big data and inquiring the space as claimed in claim 1, wherein the interpolation rendering image symbol is a gradual change color from red to blue for describing the flow velocity, and the more blue the color of the interpolation rendering image symbol is, the larger the representative flow velocity is.
4. The method for displaying the real-time hydrological monitoring big data and inquiring the space of the sea area flow field and the erosion depth according to claim 1, wherein the method comprises the following steps: the flow field data processing model is issued after processing logic is packaged into a flow field map service after processing steps of the hydrologic monitoring flow field data are listed, and receives the flow field data monitored at the front end and outputs a visual view.
5. The method for displaying the real-time hydrological monitoring big data and inquiring the space of the sea area flow field and the erosion depth according to claim 1, wherein the method comprises the following steps: the point element map layer is a map layer which derives flow field data carried by flow field points spread and drawn on geographical space positions and enables the flow field points to have graphic information; and the transformation between the UTM projection and the WGS84 coordinate system enables the flow field data to be visually displayed, the color of the flow velocity distribution raster graph is black and white when the flow velocity distribution raster graph is transformed into the WGS84 coordinate system by projection, and the flow velocity distribution raster graph carries flow field point flow velocity parameters and is colored after the flow velocity distribution raster graph is configured by the interpolation rendering image symbols.
6. The method for displaying the real-time hydrological monitoring big data and inquiring the space of the sea area flow field and the erosion depth according to claim 1, wherein the flow field points are subjected to thinning treatment to obtain a flow field point map layer; the step of performing symbol configuration on the flow field point layer by using the flow field point flow direction parameter includes:
inputting a target monitoring boundary range, dividing the target monitoring boundary range into a plurality of square thinning grids of 1km x 1km, and sequentially marking id of the square thinning grids as grid 1 and grid 2 … … grid n;
establishing spatial connection between the flow field point and the thinning grid, and adding grid id to the flow field point information of the corresponding spatial position;
counting the occurrence frequency of each grid id in the flow field point information, and extracting a first type of flow field point corresponding to the grid id which only appears once;
if the grid id appears more than once in the flow field point information, extracting a second type of flow field point which is closest to the center of the square in the grid;
summarizing the first type of flow field points and the second type of flow field points, and combining the first type of flow field points and the second type of flow field points into a flow field point diagram layer after the thinning treatment;
and configuring a flow field point layer by using the flow direction parameters, and expressing the flow direction parameter information carried by the first type of flow field points and the second type of flow field points by using a direction arrow to obtain a symbolized flow field point layer.
7. The method for displaying real-time hydrologic monitoring big data and inquiring space of sea area flow field and erosion and deposition depth according to claim 1, wherein a visual view of hydrologic monitoring data can be obtained by superposing the flow field point layer on the flow velocity distribution grid map, and the visual view comprises: color expression of flow velocity distribution of flow field points subjected to thinning treatment in the target monitoring boundary range, arrow expression of flow direction of the flow field points and time information;
the flow field layer map service is a service which can be accessed by a user through a front-end interface and can be used for executing different data processing on a hydrologic monitoring flow field data processing model.
8. A sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query system comprises:
the system comprises a hydrological monitoring module, a flow field layer map service module and a server data management platform;
the hydrologic monitoring module is used for acquiring hydrologic monitoring flow field data and transmitting the hydrologic monitoring flow field data to the server data management platform;
the flow field layer map service module is used for calling a hydrologic monitoring flow field data processing model to output the hydrologic monitoring flow field data into a visual view;
and the server data management platform is used for receiving a flow field layer map service calling request of a user front-end interface and returning the visual view to the user front-end interface.
9. A readable storage medium having a control program stored thereon, characterized in that: the control program is executed by a processor to realize the method for displaying the sea area flow field and the erosion and deposition depth real-time hydrological monitoring big data and inquiring the space according to any one of claims 1 to 7.
10. A computer control system comprising a memory, a processor, and a control program stored in said memory and executable by said processor, characterized in that: the processor realizes the sea area flow field and erosion and deposition depth real-time hydrological monitoring big data display and space query method according to any one of claims 1 to 7 when executing the control program.
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