CN114398460A - Environment-friendly field prediction model plotting system - Google Patents
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Abstract
The application provides an environment-friendly field prediction model plotting system, wherein an environment influence prediction model plotting tool in the environment-friendly field prediction model plotting system generates a grid point position map of a specified geographic area according to a plurality of longitude and latitude data in the specified geographic area, wherein the longitude and latitude data are included in a target file selected by a user; constructing a distribution map of the data to be plotted in the grid point position map according to the data to be plotted selected by the user in the target file and the target interpolation algorithm selected in the preset interpolation algorithms; triangularization processing is carried out on the grid points in the distribution diagram so as to construct a triangular net consisting of the grid points in the distribution diagram; according to the preset contour line distance and the contour line value range, carrying out contour line tracking on the triangular network to obtain a contour map of the data to be plotted in the designated geographic area; the prediction model plotting system in the environmental protection field is beneficial to reducing the manual workload and improving the generation efficiency of the contour map and the accuracy of the contour.
Description
Technical Field
The application relates to the technical field of chart drawing, in particular to a prediction model plotting system in the environmental protection field.
Background
In the prior art, a professional mapping software surfer is used for generating a distribution graph of required environment data, but the environment data is generally stored in a local file, and the surfer software cannot analyze the local file, so that the environment data in the local file needs to be manually filled into a form carried by the surfer software, and the surfer software can only identify the environment data meeting the preset specification, so that the environment data meeting the preset specification needs to be manually screened out from the environment data of the local file, and the screened environment data meeting the preset specification is filled into the form carried by the surfer software, so that the surfer software generates the distribution graph of the environment data according to the environment data meeting the preset specification in the form; in the generation process of the distribution diagram of the environmental data, the part needing manual participation is more complicated, so that the workload of manpower is large, and the generation efficiency of the distribution diagram of the environmental data is low.
Disclosure of Invention
In view of this, the embodiment of the present application provides an environment-friendly domain prediction model plotting system to reduce the manual workload and improve the generation efficiency of the isoline graph.
The embodiment of the application provides an environment-friendly field prediction model plotting system, which comprises at least one environment influence prediction model plotting tool; the environmental impact prediction model charting tool:
responding to the selection operation of a user on a target file, and generating a grid point position map of a specified geographic area according to a plurality of longitude and latitude data in the specified geographic area included by the target file; for each grid point forming the grid point position diagram, longitude and latitude data corresponding to the grid point exist in the longitude and latitude data;
responding to the selection operation of a user on the data to be plotted in the target file and the target interpolation algorithm in preset interpolation algorithms, and constructing a distribution map of the data to be plotted in the grid point position map according to the data to be plotted and the target interpolation algorithm; for each grid point in a plurality of grid points included in the distribution diagram, a numerical value associated with the grid point is used for representing a numerical value of data to be plotted at a longitude and latitude position point corresponding to the grid point, and the longitude and latitude position point corresponding to the grid point is a geographic position point indicated by the longitude and latitude data corresponding to the grid point;
triangularization processing is carried out on the grid points in the distribution diagram so as to construct a triangular net consisting of the grid points in the distribution diagram;
according to a preset contour line distance and a preset contour line value range, carrying out contour line tracking on the triangular net to obtain a contour map of the data to be plotted in the designated geographic area;
wherein the environmental impact prediction model graphing tool comprises: the system comprises an atmosphere prediction model plotting tool, a surface water prediction model plotting tool, a groundwater prediction model plotting tool, a soil prediction model plotting tool, a noise prediction model plotting tool and a risk prediction model plotting tool; when the environment influence prediction model plotting tool is an atmospheric prediction model plotting tool, the data to be plotted is the atmospheric pollutant concentration, and the contour map is a contour map of the atmospheric pollutant concentration; when the environmental impact prediction model plotting tool is a surface water prediction model plotting tool, the data to be plotted is the concentration of the surface water pollutants, and the contour map is the contour map of the concentration of the surface water pollutants; when the environment influence prediction model plotting tool is a groundwater prediction model plotting tool, the data to be plotted are groundwater pollutant concentrations, and the contour map is a contour map of the groundwater pollutant concentrations; when the environment influence prediction model plotting tool is a soil prediction model plotting tool, the data to be plotted is the soil pollutant concentration, and the contour map is a contour map of the soil pollutant concentration; when the environment influence prediction model plotting tool is a noise prediction model plotting tool, the data to be plotted are noise contribution values, and the contour map is a contour map of the noise contribution values; when the environmental impact prediction model plotting tool is a risk prediction model plotting tool, the data to be plotted is a toxicity concentration value, and the contour map is a contour map of the toxicity concentration value.
Optionally, the constructing a distribution map of the data to be plotted in the grid point position map according to the data to be plotted and the target interpolation algorithm in response to the selection operation of the user on the data to be plotted in the target file and the target interpolation algorithm in preset interpolation algorithms includes:
responding to the selection operation of a user on the data to be plotted in the target file, and determining the numerical value associated with the first grid point corresponding to the longitude and latitude data in the grid point position diagram according to the numerical value of the data to be plotted corresponding to each longitude and latitude data in the target file to obtain an original distribution diagram of the data to be plotted;
responding to the selection operation of a user on a target interpolation algorithm in preset interpolation algorithms, inserting at least one second grid point in the original distribution diagram according to the target interpolation algorithm, and determining a numerical value associated with each second grid point to obtain the distribution diagram of the data to be mapped.
Optionally, after obtaining the original distribution map of the data to be plotted, the method further includes:
displaying an option list containing a plurality of preset interpolation algorithms on a graphical user interface, wherein the interpolation algorithms comprise: a linear interpolation method, a neighbor sampling method, a distance reciprocal multiplication method, a triangular network interpolation method and a user-defined interpolation algorithm;
the response operation of the user on the selection operation of the target interpolation algorithm in the preset interpolation algorithms comprises the following steps:
and responding to an interpolation algorithm selected by a user in a plurality of interpolation algorithms included in the option list, and taking the selected interpolation algorithm as the target interpolation algorithm.
Optionally, the environmental protection domain prediction model plotting system further includes:
responding to the selection operation of the user on the user-defined interpolation algorithm in the option list, and displaying a definition template preset for the interpolation algorithm on the graphical user interface;
and responding to the definition of the algorithm input in the definition template by the user, and generating a self-defined interpolation algorithm according to the definition.
Optionally, after obtaining the contour map of the data to be plotted in the designated geographic area, the method further includes:
filling background colors of a target area by using gradient colors according to target values of the data to be plotted set for each contour line in the contour map from high to low to obtain a diffusion map of the data to be plotted in the designated geographical area; wherein the target area is an area surrounded by a target contour in the contour map; the target contour is the contour corresponding to the minimum target value.
Optionally, after obtaining the diffusion map of the data to be mapped in the designated geographic area, the method further includes:
displaying a diffusion graph of the data to be plotted on a graphical user interface; wherein, the display form of the diffusion map of the data to be mapped comprises: a picture format file form and/or an SHP file form.
Optionally, after obtaining the diffusion map of the data to be mapped in the designated geographic area, the method further includes:
and responding to the click operation of a user on a printing control in the graph plotting system of the environmental protection field prediction model, and printing the diffusion graph of the data to be plotted.
Optionally, after obtaining the diffusion map of the data to be mapped in the designated geographic area, the method further includes:
adding a target label in a diffusion graph of the graph data to be plotted according to a preset target label; wherein the target labeling at least comprises: factory boundaries, north pointers, rulers, text descriptions, sensitive areas and evaluation area ranges.
Optionally, after adding a target label in the diffusion graph of the graph data to be plotted, the method further includes:
responding to the adjustment operation of a user on the diffusion graph of the data to be mapped, and adjusting the diffusion graph of the data to be mapped according to the requirement of the adjustment operation; wherein the adjusting operation comprises an adjusting operation on contour lines in the diffusion map and an adjusting operation on target marks in the diffusion map.
Optionally, the environmental protection field prediction model plotting system further comprises an environmental protection field geographic information system GIS module;
and the GIS module of the environmental protection field displays the electronic map on a graphical user interface before responding to the selection operation of the user on the target file.
The environmental protection field prediction model plotting system provided by the embodiment of the application has the following beneficial effects:
after a user selects a target file containing required environment data (namely, data to be mapped) in a local file, an environment influence prediction model mapping tool in the environment-friendly domain prediction model mapping system generates a grid point position map of a designated geographic area according to a plurality of longitude and latitude data in the designated geographic area included in the target file, and then constructs a distribution map of the data to be mapped in the grid point position map according to the data to be mapped selected by the user in the target file and a target interpolation algorithm selected in preset interpolation algorithms; after the distribution diagram of the data to be mapped is obtained, triangularization processing is carried out on grid points in the distribution diagram of the data to be mapped so as to construct a triangular net consisting of the grid points on the distribution diagram of the data to be mapped; after the triangulation network is obtained, according to a preset contour line distance and a preset contour line numerical range, carrying out contour line tracking on the triangulation network to obtain a contour map of data to be plotted in a specified geographic area; the value corresponding to each contour line on the contour map is used for representing the value of the data to be plotted at the position of the contour line, so that the contour map can visually indicate the distribution condition of the data to be plotted in a specified geographic area (namely, the distribution map is equivalent to the distribution map of the environmental data); in the drawing process, the data (namely, the environment data) in the target file (the local file) can be directly processed without filling the data in the target file into a table carried by surfer software, so that the generation process of the contour map is simplified; the whole drawing process is automatically completed through the prediction model drawing system in the environmental protection field, only a target file required by drawing needs to be selected manually, data (data type) to be drawn in the target file is selected manually, and a target interpolation algorithm is selected manually, so that the manual participation process is simple, the manual workload is favorably reduced, and the generation efficiency of the contour map (namely, the distribution map of the environmental data) is favorably improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a flowchart illustrating a method for generating a contour map of to-be-mapped image data according to an embodiment of the present application;
FIG. 2 is a diagram illustrating an example of a method for constructing a distribution diagram of data to be mapped according to an embodiment of the present application;
FIG. 3 illustrates an example diagram of an options sheet provided by an embodiment of the present application;
fig. 4 is a diagram illustrating an example of a gradient color filling manner provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides an environment-friendly domain prediction model plotting system, which is described by the embodiment below.
Examples
The embodiment of the application provides an environment-friendly field prediction model plotting system, which comprises at least one environment influence prediction model plotting tool; fig. 1 is a flowchart illustrating a method for generating a contour map of to-be-mapped data according to an embodiment of the present application, and as shown in fig. 1, the environment influence prediction model mapping tool may generate a contour map through the following steps S101 to S104:
step S101: responding to the selection operation of a user on a target file, and generating a grid point position map of a specified geographic area according to a plurality of longitude and latitude data in the specified geographic area included by the target file; and aiming at each grid point forming the grid point position diagram, longitude and latitude data corresponding to the grid point exist in the longitude and latitude data.
Specifically, when the environment-related situation statistics is performed, the collected different environment data (i.e. natural resource data) in different geographic areas are generally written into different local files (i.e. local files), the file format includes txt format, plt format, csv (Comma-Separated Values) format, xlsxx format, xls (spreadsheet) format, etc., such as the atmospheric pollutant concentration data is written in the plt format file, and the data related to the noise contribution value is written in the txt format file, without being limited thereto, when the user wants to know a certain environmental data in a certain geographic area (i.e. a designated geographic area), a target file (the target file is a local file) containing the environmental data in the designated geographic area needs to be selected from the stored files; the object file includes: specifying environmental data such as a plurality of latitude and longitude data in a geographic area, concentration data of a pollutant corresponding to each latitude and longitude data, altitude data corresponding to each latitude and longitude data, data acquisition time corresponding to each latitude and longitude data, and the like, which is not specifically limited herein.
It should be noted that the selection operation may be set according to actual situations, for example: the operation may be a click operation on a target file in each file displayed on the user graphical interface, or an input operation on a file name of the target file, which is not specifically limited herein.
It should be noted again that, in the target file, different types of data in the environment data may be distinguished by using different columns, such as: longitude data in the longitude and latitude data is in a first column, latitude data in the longitude and latitude data is in a second column, pollutant concentration data corresponding to the longitude and latitude data is in a third column, altitude data corresponding to the longitude and latitude data is in a fourth column and the like. Based on the method, after a user selects a target file, the environment influence prediction model plotting tool obtains a plurality of longitude and latitude data which are positioned in a first column and a second column in the target file.
In specific implementation, after acquiring a plurality of longitude and latitude data in a designated geographic area, constructing a grid point position map of the designated geographic area according to the longitude and latitude data, wherein the grid point position map is composed of a plurality of grid points, and one grid point corresponds to one longitude and latitude data, so that the number of grid points in the grid point position map is the same as the number of the acquired longitude and latitude data; in addition, longitude identifiers and latitude identifiers (used for indicating the longitude and latitude of each geographic location in the geographic area) are marked on the frame of the grid point location map, so that the location of each grid point in the grid point location map is determined according to the longitude and latitude data corresponding to the grid point, that is: and the longitude and latitude values of the grid points in the grid point position diagram are the same as the longitude and latitude values of the longitude and latitude data corresponding to the grid points.
It should be noted that each environmental data in the target file includes actual environmental data and/or predicted environmental data.
Step S102: responding to the selection operation of a user on the data to be plotted in the target file and the target interpolation algorithm in preset interpolation algorithms, and constructing a distribution map of the data to be plotted in the grid point position map according to the data to be plotted and the target interpolation algorithm; for each of the plurality of grid points included in the distribution diagram, the numerical value associated with the grid point is used for representing the numerical value of the data to be plotted at the longitude and latitude position point corresponding to the grid point, and the longitude and latitude position point corresponding to the grid point is the geographic position point indicated by the longitude and latitude data corresponding to the grid point.
Specifically, the data to be plotted is any data (i.e., a data category) selected by the user from the data included in the target file, except for longitude and latitude data, such as: the number of the data to be plotted is at least one, and longitude and latitude data corresponding to the data to be plotted in a one-to-one mode exist in each data to be plotted in the target file; a plurality of interpolation algorithms are arranged in advance in the prediction model plotting system in the environmental protection field, and a user can select a required target interpolation algorithm from the interpolation algorithms; after a user selects data to be plotted in a target file and a target interpolation algorithm in each interpolation algorithm, the environment influence prediction model plotting tool constructs a distribution map of the data to be plotted in the grid point position map according to the data to be plotted corresponding to the selected longitude and latitude data and the target interpolation algorithm; the histogram of the standby graph data is used to show that: in a specified geographic area, the values of the data to be plotted at several geographic positions, that is, several grid points in the histogram of the data to be plotted, so the values of the data to be plotted at several geographic positions can be represented by the values associated with the grid points in the histogram, that is: and the numerical value associated with the grid point is used for representing the numerical value of the data to be plotted at the longitude and latitude position point corresponding to the grid point, and the longitude and latitude position point corresponding to the grid point is the geographic position point indicated by the longitude and latitude data corresponding to the grid point.
It should be noted that the representation form of each grid point in the histogram of the to-be-plotted data may be set according to actual conditions, the grid points may be represented by small dots in the histogram, or the grid points may be represented by special markers (such as exclamation marks), which is not limited herein. In addition, the expression form of the numerical values associated with the grid points may be set according to actual conditions, and may be a form of an annotation frame (numerical values are written in the annotation frame) near the grid points, or a form of pixel values (different pixel values correspond to different numerical values) of pixel points at the grid points, which is not specifically limited herein.
Step S103: triangularization processing is performed on the grid points in the distribution diagram to construct a triangular mesh composed of the grid points in the distribution diagram.
Specifically, after obtaining the distribution diagram of the data to be plotted, the distribution diagram of the data to be plotted includes a plurality of grid points, one grid point is equivalent to one point on the plane graph, all grid points on the distribution diagram of the data to be plotted form a point set on the plane graph, and the point set on the plane graph is triangulated according to a Delaunay triangulation algorithm to construct a triangulation network on the plane graph, that is: triangularization processing is carried out on the grid points in the distribution diagram of the data to be mapped, so that a triangular net composed of the grid points is constructed in the distribution diagram of the data to be mapped.
Step S104: and carrying out contour tracking on the triangular network according to a preset contour line distance and a preset contour line value range to obtain a contour map of the data to be plotted in the designated geographic area.
Specifically, since each grid point constituting the triangulation network is associated with a value representing a specific value of the data to be plotted, contour tracing can be performed on the triangulation network according to a preset contour distance (difference between values corresponding to adjacent contours) and a contour value range (a limited range of values corresponding to contours) to obtain a contour map, wherein the contour map comprises at least one contour, and for each contour in the at least one contour, the value marked for the contour (i.e. the value corresponding to the contour) is used for representing: waiting for a specific numerical value of the graph data at the geographic position covered by the numerical line; therefore, the contour map may represent the distribution of the data to be mapped in the designated geographic area, that is: the contour map is a contour map of the data to be mapped in the designated geographic area.
It should be noted that the contour map is a distribution map of the data to be mapped in a specified geographic area.
The environmental impact prediction model graphing tool comprises: the system comprises an atmosphere prediction model plotting tool, a surface water prediction model plotting tool, a groundwater prediction model plotting tool, a soil prediction model plotting tool, a noise prediction model plotting tool and a risk prediction model plotting tool; when the environment influence prediction model plotting tool is an atmospheric prediction model plotting tool, the data to be plotted is the atmospheric pollutant concentration, and the contour map is a contour map of the atmospheric pollutant concentration; when the environmental impact prediction model plotting tool is a surface water prediction model plotting tool, the data to be plotted is the concentration of the surface water pollutants, and the contour map is the contour map of the concentration of the surface water pollutants; when the environment influence prediction model plotting tool is a groundwater prediction model plotting tool, the data to be plotted are groundwater pollutant concentrations, and the contour map is a contour map of the groundwater pollutant concentrations; when the environment influence prediction model plotting tool is a soil prediction model plotting tool, the data to be plotted is the soil pollutant concentration, and the contour map is a contour map of the soil pollutant concentration; when the environment influence prediction model plotting tool is a noise prediction model plotting tool, the data to be plotted is a noise contribution value, and the contour map is a contour map (namely a contour map) of the noise contribution value; when the environmental impact prediction model plotting tool is a risk prediction model plotting tool, the data to be plotted is a toxicity concentration value, and the contour map is a contour map (namely, a toxicity corridor map) of the toxicity concentration value.
It should be noted again that the method for generating the contour line of the to-be-plotted data may also be a nearest neighbor difference method, or a B-spline method, or a kriging interpolation method, which is not specifically limited herein.
After a user selects a target file containing required environment data (namely, data to be mapped) in a local file, an environment influence prediction model mapping tool in the environment-friendly domain prediction model mapping system generates a grid point position map of a designated geographic area according to a plurality of longitude and latitude data in the designated geographic area included in the target file, and then constructs a distribution map of the data to be mapped in the grid point position map according to the data to be mapped selected by the user in the target file and a target interpolation algorithm selected in preset interpolation algorithms; after the distribution diagram of the data to be mapped is obtained, triangularization processing is carried out on grid points in the distribution diagram of the data to be mapped so as to construct a triangular net consisting of the grid points on the distribution diagram of the data to be mapped; after the triangulation network is obtained, according to a preset contour line distance and a preset contour line numerical range, carrying out contour line tracking on the triangulation network to obtain a contour map of data to be plotted in a specified geographic area; the value corresponding to each contour line on the contour map is used for representing the value of the data to be plotted at the position of the contour line, so that the contour map can visually indicate the distribution condition of the data to be plotted in a specified geographic area (namely, the distribution map is equivalent to the distribution map of the environmental data); in the drawing process, the data (namely, the environment data) in the target file (the local file) can be directly processed without filling the data in the target file into a table carried by surfer software, so that the generation process of the contour map is simplified; the whole drawing process is automatically completed through the prediction model drawing system in the environmental protection field, only a target file required by drawing needs to be selected manually, data (data type) to be drawn in the target file is selected manually, and a target interpolation algorithm is selected manually, so that the manual participation process is simple, the manual workload is favorably reduced, and the generation efficiency of the contour map (namely, the distribution map of the environmental data) is favorably improved.
In a possible embodiment, when the step S102 is executed, the following steps are performed:
step S201: and responding to the selection operation of a user on the data to be plotted in the target file, and determining the numerical value associated with the first grid point corresponding to the longitude and latitude data in the grid point position diagram according to the numerical value of the data to be plotted corresponding to each longitude and latitude data in the target file to obtain the original distribution diagram of the data to be plotted.
Specifically, after a user selects data to be plotted in a target file (a certain column of data), for each data to be plotted in the column, longitude and latitude data corresponding to the data to be plotted exist in the target file, and for each longitude and latitude data in the target file, a first grid point corresponding to the longitude and latitude data exists in a grid point position diagram, that is, in a grid point position diagram, one first grid point corresponds to one data to be plotted, so for each first grid point, a value associated with the first grid point can be set for the first grid point according to a value of the data to be plotted corresponding to the first grid point, wherein the value associated with the first grid point is the same as the value of the data to be plotted corresponding to the first grid point; and after the values associated with all the first grid points in the grid point position diagram are set, taking the grid point position diagram as an original distribution diagram of the data to be plotted.
Step S202: responding to the selection operation of a user on a target interpolation algorithm in preset interpolation algorithms, inserting at least one second grid point in the original distribution diagram according to the target interpolation algorithm, and determining a numerical value associated with each second grid point to obtain the distribution diagram of the data to be mapped.
Specifically, a plurality of interpolation algorithms are set in advance in a prediction model plotting system in the environmental protection field, and a user can select a required target interpolation algorithm from the interpolation algorithms; in order to enable the original distribution graph of the data to be mapped to more accurately represent the distribution of the data to be mapped in the designated geographic area, inserting at least one second grid point into the obtained original distribution diagram of the data to be plotted according to a target interpolation algorithm selected by a user in each interpolation algorithm, wherein the number of the inserted second grid points is determined according to the number of the first grid points in the original distribution diagram and the used target interpolation algorithm, after the second grid points are inserted, the value associated with the second grid points needs to be determined, the value is determined from the value associated with the first grid point in the original profile and the target interpolation algorithm used, and after the insertion process of each second grid point in the original distribution diagram and the determination process of the value associated with each second grid point are executed, taking the obtained original distribution diagram as the distribution diagram of the data to be plotted.
It should be noted that the interpolation algorithms include a series of algorithms capable of performing grid point interpolation operations, such as a linear interpolation method, a neighbor sampling method, a distance inverse multiplication method, a triangular network interpolation method, and the like.
It should be noted again that, for the above description of the selecting operation of the target interpolation algorithm, reference is made to the above description of the selecting operation of the target file, and details are not repeated here.
For example, fig. 2 shows an exemplary diagram of a distribution diagram constructing manner of data to be plotted provided by an embodiment of the present application, as shown in fig. 2, an original distribution diagram 200 of the data to be plotted is shown above an arrow, a vertical bar on a border of the original distribution diagram 200 is a marked longitude and latitude separation point (corresponding to a step length on a coordinate axis), in the original distribution diagram 200, three first grid points (one dot represents one first grid point) are included, and each first grid point is associated with a first numerical value; if the target interpolation method is a linear interpolation method, inserting a second grid point (a triangle represents a second grid point) at the midpoint of the connecting line (the dotted line) of every two first grid points in the original distribution diagram 200 according to the linear interpolation method, and determining the numerical value associated with the second grid point (the triangle on the dotted line) as the average value of the numerical values associated with the two first grid points for each second grid point, where the two first grid points are the first grid points (the dots) on the two ends of the dotted line where the second grid point is located; through the above process, a distribution map 201 of the data to be mapped is obtained.
In a possible embodiment, after obtaining the original distribution map of the data to be plotted, displaying an option list containing a plurality of preset interpolation algorithms on a graphical user interface, wherein the plurality of interpolation algorithms comprises: linear interpolation, neighbor sampling, distance inverse multiplication, triangular network interpolation and custom interpolation.
The response operation of the user on the selection operation of the target interpolation algorithm in the preset interpolation algorithms comprises the following steps: and responding to an interpolation algorithm selected by a user in a plurality of interpolation algorithms included in the option list, and taking the selected interpolation algorithm as the target interpolation algorithm.
Specifically, in order to facilitate a user to select a required target interpolation algorithm from the interpolation algorithms, after an original distribution diagram of data to be plotted is obtained, an option list is displayed on a graphical user interface of the prediction model plotting system in the environmental protection field, all preset interpolation algorithms are displayed in the option list, the user can select the required interpolation algorithm from the displayed interpolation algorithms, and after the user selects the required interpolation algorithm, the interpolation algorithm selected by the user is used as the target interpolation algorithm.
It should be noted that the preset interpolation algorithms (i.e. the plurality of interpolation algorithms) at least include linear interpolation, neighbor sampling, distance inverse multiplication, triangular network interpolation, custom interpolation and the like, and the interpolation algorithms sequentially include, from high to low in interpolation accuracy: linear interpolation, neighbor sampling, distance inverse multiplication, triangular network interpolation, and custom interpolation; it should be noted that the higher the interpolation accuracy, the longer the time required to perform interpolation using the interpolation algorithm.
Fig. 3 shows an exemplary diagram of an option table provided in an embodiment of the present application, as shown in fig. 3, in an option table 300, text and option boxes of a linear interpolation method, a neighbor sampling method, a distance inverse multiplication method, a triangular network interpolation method, and a custom interpolation algorithm are displayed, and in addition, a control for determining an option is also displayed, when a user wants to select a linear interpolation method, the user needs to click a selection box before the linear interpolation method (text), and then click a "determination" control at the bottom of the option box to complete a selection operation of the linear interpolation method.
In a possible embodiment, in response to the user selecting the custom interpolation algorithm in the option list, displaying a preset definition template for the interpolation algorithm on the graphical user interface; and responding to the definition of the algorithm input in the definition template by the user, and generating a self-defined interpolation algorithm according to the definition.
Specifically, when no user wants to select the interpolation algorithm in the preset interpolation algorithm, the user can select a custom interpolation algorithm in the option list, and when the user selects the custom interpolation algorithm, a preset definition template of the interpolation algorithm is displayed on the graphical user interface, so that the user can edit the required interpolation algorithm independently, namely: inputting the definition of the required interpolation algorithm into the definition template, and after the input is completed, generating a custom interpolation algorithm which can be used for interpolation according to the definition of the required interpolation algorithm by the user, such as: and (4) a cube fitting algorithm.
In a possible implementation scheme, after a contour map of the data to be plotted in the designated geographic area is obtained, according to target values of the data to be plotted set for all contour lines in the contour map, filling background colors of the target area by using gradient colors according to the sequence from high to low of the target values, and obtaining a diffusion map of the data to be plotted in the designated geographic area; wherein the target area is an area surrounded by a target contour in the contour map; the target contour is the contour corresponding to the minimum target value.
Specifically, in the contour map, the target values of the to-be-plotted data set for the respective contours are: marking numerical values for each contour line; in order to more clearly show the distribution of the data to be plotted in the designated geographical area, after the contour map is obtained, the background color of the target area in the contour map is filled by using gradient colors according to the sequence of the target value set for each contour line in the contour map from high to low, the target area is the area surrounded by the target contour line with the minimum corresponding target value, and the area of the area surrounded by the target contour line is the largest in the area of the area surrounded by each contour line.
It should be noted that, for each pixel point in the target area on the contour map, the background color of different pixel points (i.e., the pixel point value of the pixel point) is used to represent the numerical value of the data to be plotted at the corresponding geographic position of the pixel point.
Fig. 4 shows an exemplary diagram of a gradient color filling manner provided by an embodiment of the present application, as shown in fig. 4, in a contour diagram 400, there are 5 contours, and in order from large to small areas of the surrounding area, target values (values annotated beside the contours) corresponding to the contours are respectively: 7.5, 15, 22, 30, 60; thus, the target contour is a contour corresponding to a target value of 7.5, the region surrounded by the contour map 400 is a target region, and the target region is filled with a gradation color in the direction of the arrow (from outside to inside).
Note that after the background color of the target region is filled with the gradient color, for each color in the gradient color, an annotation indicating a numerical range of the to-be-plotted data represented by the color is added to the color.
It should be noted again that the diffusion map of the to-be-mapped data in the designated geographic area also belongs to the distribution map of the to-be-mapped data.
In a possible implementation scheme, after a diffusion graph of the data to be mapped in the designated geographic area is obtained, the diffusion graph of the data to be mapped is displayed on a graphical user interface; wherein, the display form of the diffusion map of the data to be mapped comprises: a picture format file form and/or an SHP file form.
Specifically, in order to facilitate the analysis of the distribution condition of the data to be plotted in the designated geographical area by the user, after the diffusion diagram of the data to be plotted is obtained, the diffusion diagram is displayed on the graphical user interface of the preset plotting platform.
It should be noted that, when the diffusion map of the data to be mapped is an SHP (shape, SHP western general) file, the display form of the diffusion map of the data to be mapped is the form of an SHP file on a GIS (Geographic Information System) electronic map, and when the diffusion map of the data to be mapped is a picture, the display form of the diffusion map of the data to be mapped is the form of a picture format file.
In a feasible implementation scheme, after the diffusion graph of the data to be plotted in the designated geographic area is obtained, the diffusion graph of the data to be plotted is printed in response to the click operation of a user on a printing control in the environmental protection field prediction model plotting system.
In a possible implementation scheme, after a diffusion graph of the data to be plotted in the designated geographic area is obtained, adding a target label in the diffusion graph of the data to be plotted according to a preset target label; wherein the target labeling at least comprises: factory boundaries, north pointers, rulers, text descriptions, sensitive areas and evaluation area ranges.
In a possible implementation, after adding a target label in the diffusion graph of the data to be plotted, responding to an adjustment operation of a user on the diffusion graph of the data to be plotted, and adjusting the diffusion graph of the data to be plotted according to the requirement of the adjustment operation; wherein the adjusting operation comprises an adjusting operation on contour lines in the diffusion map and an adjusting operation on target marks in the diffusion map.
Specifically, the adjustment operation on the contour lines in the diffusion map at least comprises the following steps: adjusting the interval of the equivalent value lines, adjusting the numerical range of the equivalent value lines, adjusting the width of the equivalent value lines and adjusting the color of the equivalent value lines; the adjustment operation of the target label in the diffusion map at least comprises the following steps: adjusting the width of lines in the diffusion map, adjusting the text description in the diffusion map, adjusting the filling color in the diffusion map and adjusting the display format of the sensitive area in the diffusion map; the line width at least includes: the width of a line marked in the diffusion diagram, the width of a region frame marked in the diffusion diagram and the width of an icon frame marked in the diffusion diagram; the filling color at least includes: filling colors of lines marked on the diffusion graph, filling colors of area borders marked on the diffusion graph, filling colors of areas marked on the diffusion graph, filling colors of icon borders marked on the diffusion graph, filling colors of icons marked on the diffusion graph, and filling colors of written descriptions marked on the diffusion graph; the adjustment operation on the display format of the sensitive area in the diffusion map at least comprises an adjustment operation on the display sequence (above and below the layer) of the sensitive area in the diffusion map and an adjustment operation on the display transparency of the sensitive area in the diffusion map.
In one possible embodiment, the environmental protection field prediction model plotting system further comprises an environmental protection field Geographic Information System (GIS) module; and the GIS module of the environmental protection field displays the electronic map on a graphical user interface before responding to the selection operation of the user on the target file.
Specifically, after a user opens an environment protection field prediction model plotting system, the environment protection field GIS module maps an electronic map on a graphical user interface, wherein the electronic map can be an electronic map of a designated area or an electronic map of the designated area of the geographical area.
In another possible embodiment, after the electronic map is displayed, a specified label (user-specified label) can be added to the electronic map, such as: the pollution source (pollution source location point) of the added pollutant, or the factory boundary area is selected in a frame mode, or the environment sensitive area (such as the area where the river is located, the area where the ecological function area is located, the area where the drinking water source area is located, the area where the natural protection area is located, the area where the forest park is located, the area where the school is located, the area where the hospital is located, and the like) is selected in a frame mode.
In another possible embodiment, after obtaining the diffusion map of the data to be mapped in the designated geographic area, the diffusion map is stored.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The environmental protection field prediction model plotting system is characterized by comprising at least one environment influence prediction model plotting tool; the environmental impact prediction model charting tool:
responding to the selection operation of a user on a target file, and generating a grid point position map of a specified geographic area according to a plurality of longitude and latitude data in the specified geographic area included by the target file; for each grid point forming the grid point position diagram, longitude and latitude data corresponding to the grid point exist in the longitude and latitude data;
responding to the selection operation of a user on the data to be plotted in the target file and the target interpolation algorithm in preset interpolation algorithms, and constructing a distribution map of the data to be plotted in the grid point position map according to the data to be plotted and the target interpolation algorithm; for each grid point in a plurality of grid points included in the distribution diagram, a numerical value associated with the grid point is used for representing a numerical value of data to be plotted at a longitude and latitude position point corresponding to the grid point, and the longitude and latitude position point corresponding to the grid point is a geographic position point indicated by the longitude and latitude data corresponding to the grid point;
triangularization processing is carried out on the grid points in the distribution diagram so as to construct a triangular net consisting of the grid points in the distribution diagram;
according to a preset contour line distance and a preset contour line value range, carrying out contour line tracking on the triangular net to obtain a contour map of the data to be plotted in the designated geographic area;
wherein the environmental impact prediction model graphing tool comprises: the system comprises an atmosphere prediction model plotting tool, a surface water prediction model plotting tool, a groundwater prediction model plotting tool, a soil prediction model plotting tool, a noise prediction model plotting tool and a risk prediction model plotting tool; when the environment influence prediction model plotting tool is an atmospheric prediction model plotting tool, the data to be plotted is the atmospheric pollutant concentration, and the contour map is a contour map of the atmospheric pollutant concentration; when the environmental impact prediction model plotting tool is a surface water prediction model plotting tool, the data to be plotted is the concentration of the surface water pollutants, and the contour map is the contour map of the concentration of the surface water pollutants; when the environment influence prediction model plotting tool is a groundwater prediction model plotting tool, the data to be plotted are groundwater pollutant concentrations, and the contour map is a contour map of the groundwater pollutant concentrations; when the environment influence prediction model plotting tool is a soil prediction model plotting tool, the data to be plotted is the soil pollutant concentration, and the contour map is a contour map of the soil pollutant concentration; when the environment influence prediction model plotting tool is a noise prediction model plotting tool, the data to be plotted are noise contribution values, and the contour map is a contour map of the noise contribution values; when the environmental impact prediction model plotting tool is a risk prediction model plotting tool, the data to be plotted is a toxicity concentration value, and the contour map is a contour map of the toxicity concentration value.
2. The eco-domain predictive model mapping system of claim 1, wherein said constructing a map of said to-be-mapped data in said grid point position map according to said to-be-mapped data and said target interpolation algorithm in response to a user's selection operation of said to-be-mapped data in said target file and a target interpolation algorithm among preset interpolation algorithms comprises:
responding to the selection operation of a user on the data to be plotted in the target file, and determining the numerical value associated with the first grid point corresponding to the longitude and latitude data in the grid point position diagram according to the numerical value of the data to be plotted corresponding to each longitude and latitude data in the target file to obtain an original distribution diagram of the data to be plotted;
responding to the selection operation of a user on a target interpolation algorithm in preset interpolation algorithms, inserting at least one second grid point in the original distribution diagram according to the target interpolation algorithm, and determining a numerical value associated with each second grid point to obtain the distribution diagram of the data to be mapped.
3. The environmental protection domain predictive model mapping system of claim 2, further comprising, after obtaining the original distribution map of the data to be mapped:
displaying an option list containing a plurality of preset interpolation algorithms on a graphical user interface, wherein the interpolation algorithms comprise: a linear interpolation method, a neighbor sampling method, a distance reciprocal multiplication method, a triangular network interpolation method and a user-defined interpolation algorithm;
the response operation of the user on the selection operation of the target interpolation algorithm in the preset interpolation algorithms comprises the following steps:
and responding to an interpolation algorithm selected by a user in a plurality of interpolation algorithms included in the option list, and taking the selected interpolation algorithm as the target interpolation algorithm.
4. The eco-domain predictive model mapping system of claim 3, further comprising:
responding to the selection operation of the user on the user-defined interpolation algorithm in the option list, and displaying a definition template preset for the interpolation algorithm on the graphical user interface;
and responding to the definition of the algorithm input in the definition template by the user, and generating a self-defined interpolation algorithm according to the definition.
5. The environmental protection domain predictive model graphing system of claim 1, after obtaining the contour graph of the to-be-graphing data in the specified geographic area, further comprising:
filling background colors of a target area by using gradient colors according to target values of the data to be plotted set for each contour line in the contour map from high to low to obtain a diffusion map of the data to be plotted in the designated geographical area; wherein the target area is an area surrounded by a target contour in the contour map; the target contour is the contour corresponding to the minimum target value.
6. The environmental protection domain predictive model graphing system of claim 5, after obtaining the diffusion graph of the graph data to be graphed in the specified geographic region, further comprising:
displaying a diffusion graph of the data to be plotted on a graphical user interface; wherein, the display form of the diffusion map of the data to be mapped comprises: a picture format file form and/or an SHP file form.
7. The environmental protection domain predictive model graphing system of claim 5, after obtaining the diffusion graph of the graph data to be graphed in the specified geographic region, further comprising:
and responding to the click operation of a user on a printing control in the graph plotting system of the environmental protection field prediction model, and printing the diffusion graph of the data to be plotted.
8. The environmental protection domain predictive model graphing system of claim 5, after obtaining the diffusion graph of the graph data to be graphed in the specified geographic region, further comprising:
adding a target label in a diffusion graph of the graph data to be plotted according to a preset target label; wherein the target labeling at least comprises: factory boundaries, north pointers, rulers, text descriptions, sensitive areas and evaluation area ranges.
9. The environmental protection domain predictive model mapping system of claim 8, further comprising, after adding a target label to the diffusion map of the to-be-mapped data:
responding to the adjustment operation of a user on the diffusion graph of the data to be mapped, and adjusting the diffusion graph of the data to be mapped according to the requirement of the adjustment operation; wherein the adjusting operation comprises an adjusting operation on contour lines in the diffusion map and an adjusting operation on target marks in the diffusion map.
10. The environmentally friendly domain predictive model mapping system of claim 1, wherein the environmentally friendly domain predictive model mapping system further comprises an environmentally friendly domain Geographic Information System (GIS) module;
and the GIS module of the environmental protection field displays the electronic map on a graphical user interface before responding to the selection operation of the user on the target file.
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