Map information fused chloride ion parameter global visualization method

Abstract

The invention discloses a map information-fused chloride ion parameter global visualization method. The method comprises the following steps of: checking actually acquired data; marking actually acquired data; enhancing the actually acquired data; triangular region division: dividing the target region into a plurality of triangular regions based on points in the basic data set; performing global numerical calculation, namely for each blank point in each triangular region, calculating a chloride ion parameter value corresponding to the blank point based on the vertex coordinate of the triangle and the chloride ion parameter value corresponding to the vertex coordinate so as to obtain a chloride ion parameter value corresponding to each blank point in the target region; performing visual mapping to generate a chloride ion parameter pixel matrix data graph; and covering the chloride ion parameter pixel matrix data graph on a map by adopting preset transparency so as to obtain a chloride ion parameter distribution graph fused with map information. According to the method, effective expansion and universe conversation of a small amount of small sample data are realized, and decision making and evaluation can be quickly assisted through a universe visualization method.

Description

Technical Field

[0001] The present invention belongs to the field of natural environment test and observation data resource mining and analysis, and specifically relates to a global visualization method for chloride ion parameters integrating map information. Background Art

[0002] Chloride ion concentrations in coastal areas are dozens of times higher than inland areas. Chloride ion concentrations are highly oxidizing and permeable, accelerating corrosion and cracking of metal components, thereby reducing the load-bearing capacity and service life of equipment. By analyzing the distribution patterns of chloride ions, we can effectively address corrosion damage in coastal environments and provide strong support for the safe service life of facilities and equipment. Remote sensing technology can acquire high-resolution data over a large area, but due to weather conditions, it is prone to data loss and data disturbance, requiring supplementation and correction in conjunction with other data sources. Traditional chloride ion monitoring methods rely on field sampling methods such as gauze and vacuum sampling. Although these methods are time-consuming and have limited coverage, their data are more reliable and closer to the operating environment of facilities and equipment, providing first-hand data for chloride ion analysis. With the development and advancement of visualization technologies such as geographic information systems, overlaying environmental factors with map information to generate integrated maps of the spatiotemporal distribution patterns of environmental factors is an important means of mining and analyzing environmental data resources.

[0003] Limited by the limited coverage of actual sampled data points, traditional chloride ion data mining and analysis generally uses line charts, bar charts, etc. to perform simple analysis of single dimensions such as measurement point location and seasonal changes. It lacks an intuitive understanding of the overall picture and integrity of key areas. Therefore, a global visualization method for chloride ions is urgently needed to make the chloride ion distribution pattern more intuitive and interactive, so as to facilitate data users and decision makers to quickly understand and analyze the data. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a global visualization method for coastal chloride ion parameters (concentration and / or deposition) that integrates map information, uses map images for data enhancement and pixel labeling, and uses a triangular weighted method to achieve globalization of chloride ion data, and then establishes a mapping relationship between numerical values and chromatograms to complete fusion visualization on a map base map.

[0005] The purpose of the present invention is achieved through the following technical solutions:

[0006] A global visualization method for chloride ion parameters integrating map information, comprising:

[0007] S1: actual data verification, i.e. setting collection points in the target area, collecting chloride ion parameters at the collection points and verifying the collected data to generate an actual data set, wherein the actual data set includes the pixel coordinates of the collection points and the chloride ion parameter values corresponding to the collection points;

[0008] S2: Marking of collected data, i.e. marking the collection points on a map, which may be a satellite map containing the target area;

[0009] S3: augmenting the collected data, i.e., enhancing the data in the collected data set to generate auxiliary data, and merging the auxiliary data with the data in the collected data set to generate a basic data set. The auxiliary data includes the pixel coordinates of the auxiliary points and the chloride ion parameter values corresponding to the auxiliary points.

[0010] S4: triangulation, that is, dividing the target area into multiple triangular areas based on the points in the basic data set, where the vertices of each triangle are points in the basic data set and the interior of each triangle does not include other points in the basic data set;

[0011] S5: Global numerical calculation, that is, for each blank point in each triangular area, the chloride ion parameter value corresponding to the blank point is calculated based on the vertex coordinates of the triangle and the chloride ion parameter value corresponding to the vertex coordinates, thereby obtaining the chloride ion parameter value corresponding to each blank point in the target area, wherein the blank point is the point for which the chloride ion parameter value is to be calculated;

[0012] S6: Visual mapping, that is, integrating the chloride ion parameter value corresponding to each point in the target area into a two-dimensional matrix according to the corresponding pixel coordinates, and mapping it using a preset color spectrum to generate a chloride ion parameter pixel matrix data map;

[0013] S7: Using a preset transparency, the chloride ion parameter pixel matrix data map is overlaid on the map, thereby obtaining a chloride ion parameter distribution map that integrates the map information.

[0014] Furthermore, the chloride ion parameter may be chloride ion concentration or chloride ion precipitation.

[0015] Furthermore, the inspection of the collected data in S1 includes a limit value inspection and a rationality inspection.

[0016] Furthermore, in S3, data enhancement is performed on the data in the actual data set to generate auxiliary data, including: setting auxiliary points according to the type of the target area and determining chloride ion parameter values corresponding to the auxiliary points.

[0017] Furthermore, S3 specifically includes:

[0018] If the target area faces the sea on one side, an auxiliary point is determined on the coastline of the target area, and the chloride ion parameter value corresponding to the collection point on the coastline is used as the chloride ion parameter value corresponding to the auxiliary point;

[0019] If the target area is surrounded by the sea on three sides, auxiliary points are set up on the strong wind side and weak wind side of the coastline respectively, and the chloride ion parameter value corresponding to the collection point on the strong wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the strong wind side, and the chloride ion parameter value corresponding to the collection point on the weak wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the weak wind side;

[0020] For the open and unobstructed areas in the target area, auxiliary points are set in this area. The chloride ion parameter values corresponding to the auxiliary points in the area are determined by constructing a power function based on the distance between the auxiliary points and the collection points on the strong wind side of the coastline and the chloride ion parameter values corresponding to the collection points on the strong wind side.

[0021] Furthermore, S5 specifically includes:

[0022] For each blank point in each triangle region, perform the following process:

[0023] Calculate the distances between the blank point and the three vertices of the triangular area respectively;

[0024] Determine the weight of each vertex based on the distance;

[0025] Normalize the weights;

[0026] The normalized weight of each vertex and the chloride ion parameter value corresponding to each vertex are used to perform weighted summation to obtain the chloride ion parameter value corresponding to the blank point.

[0027] Furthermore, the color spectrum is a 32-step rainbow color spectrum, a 128-step rainbow color spectrum, a 256-step rainbow color spectrum, or the like.

[0028] The beneficial effects of the present invention are:

[0029] The present invention combines the actual geographic information of the map, uses similarity point recognition, power function supplementation and other methods to enhance data, and combines it with a triangular weighted algorithm to achieve effective expansion and globalization of a small amount of small sample data;

[0030] The present invention uses a global visualization method to make discrete and isolated data highly readable and visually appealing, converting professional data into intuitive images, efficiently, conveniently and fully acquiring distribution patterns, and helping to quickly assist decision-making and evaluation.

[0031] Other advantages, objects, and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art upon examination of the following description or may be learned from practice of the present invention. The objects and other advantages of the present invention may be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings, in which:

[0033] Figure 1 It is a schematic flow chart of a global visualization method for chloride ion parameters that integrates map information;

[0034] Figure 2 It is a screenshot of the satellite map with the location of the data points marked;

[0035] Figure 3 It is the triangulation of the map visualization area;

[0036] Figure 4 It is a global pixel matrix numerical map of chloride ion deposition;

[0037] Figure 5 It is a coastal chloride deposition distribution map that integrates map information. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, and are not intended to limit the scope of protection of the present invention.

[0039] Figure 1 Schematic flow chart of a global visualization method for chloride ion parameters integrating map information. Figure 1 , the method comprises the following steps:

[0040] S1: actual data verification, that is, setting a collection point in the target area, collecting chloride ion parameters at the collection point and verifying the collected data to generate an actual data set, where the actual data set contains the pixel coordinates (x i ,y i ) and the collection point (x i ,y i ) corresponds to the chloride ion parameter value z i , i ranges from 1 to N, N represents the number of sampling points in the actual data set, and the chloride ion parameter can be chloride ion concentration or chloride ion precipitation;

[0041] S2: Marking of actual data, i.e. marking the collection points on the map according to their actual geographical locations;

[0042] S3: augmenting the collected data, i.e., enhancing the data in the collected data set to generate auxiliary data, and merging the auxiliary data with the data in the collected data set to generate a basic data set. The auxiliary data includes the pixel coordinates of the auxiliary points and the chloride ion parameter values corresponding to the auxiliary points.

[0043] S4: triangulation, that is, dividing the target area into multiple triangular areas based on the points in the basic data set, where the vertices of each triangle are points in the basic data set and the interior of each triangle does not include other points in the basic data set;

[0044] S5: Global numerical calculation, that is, for each blank point in each triangular area, the chloride ion parameter value corresponding to the blank point is calculated based on the vertex coordinates of the triangle and the chloride ion parameter value corresponding to the vertex coordinates, thereby obtaining the chloride ion parameter value corresponding to each blank point in the target area, wherein the blank point is the point for which the chloride ion parameter value is to be calculated;

[0045] S6: Visual mapping, that is, integrating the chloride ion parameter value corresponding to each point in the target area into a two-dimensional matrix according to the corresponding pixel coordinates, and mapping using a preset color spectrum to generate a chloride ion parameter pixel matrix data map. The preset color spectrum can be a 32-level rainbow color spectrum, a 128-level rainbow color spectrum, a 256-level rainbow color spectrum or any other suitable color spectrum, such as hot (warm red tone), cool (cold blue tone), or a custom color spectrum, as long as it can reflect the mapping relationship between the chloride ion parameter value and the color spectrum value;

[0046] S7: Using a preset transparency, the chloride ion parameter pixel matrix data map is overlaid on the map, thereby obtaining a chloride ion parameter distribution map that integrates the map information.

[0047] In some embodiments, the verification of the collected data in S1 includes a limit value verification and a rationality verification.

[0048] Limit value testing refers to comparing the collected values with the known maximum value, thereby excluding the values corresponding to the collection points that exceed the known maximum value. For example, the maximum chloride ion deposition in the coastal area is 1213.2 mg / m2 per day (mg / m 2 d). If the chloride ion deposition collected at a certain sampling point is greater than this value, it means that the collected data may be problematic. For example, the maximum chloride ion concentration in the coastal area is 0.091 mg / m3 (mg / m 3 ), if the chloride ion concentration collected at a certain collection point is greater than this value, it means that the collected data may be problematic, and strict data traceability must be carried out for problematic data.

[0049] A rationality check involves determining that chloride ion parameters will exhibit a certain trend as factors change. Failure to meet this trend suggests that the collected data may be flawed, and potentially problematic data requires rigorous traceability. For example, the coastline is divided into a strong wind side and a weak wind side. Chloride ion deposition is greatest on the strong wind side, and generally decreases in unobstructed areas from the strong wind side of the coastline toward inland.

[0050] The collected data that meets the limit value test and rationality test can form the actual collected data set.

[0051] In S3, data enhancement is performed on the data in the actual data set to generate auxiliary data, including: setting auxiliary points based on the type of target area and determining the chloride ion parameter values corresponding to the auxiliary points. The positions and number of the auxiliary points can be any appropriate positions and numbers.

[0052] If the target area faces the sea on one side, auxiliary points are determined on the coastline of the target area (for example, the pixel coordinates of the auxiliary points on the coastline can be obtained through image tools). These auxiliary points and the collection points can be regarded as similar points, and their corresponding data are also similar. Therefore, the chloride ion parameter values corresponding to the collection points on the coastline (i.e., the actual collected data) can be used as the chloride ion parameter values corresponding to the auxiliary points;

[0053] If the target area is surrounded by the sea on three sides, auxiliary points are set up on the strong wind side and weak wind side of the coastline respectively, and the chloride ion parameter value corresponding to the collection point on the strong wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the strong wind side, and the chloride ion parameter value corresponding to the collection point on the weak wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the weak wind side;

[0054] For the open and unobstructed areas in the target area, auxiliary points are set in the area. The chloride ion parameter values corresponding to the auxiliary points in the area are determined based on the distance between the auxiliary points and the collection points on the strong wind side of the coastline and the chloride ion parameter values corresponding to the collection points on the strong wind side. For example, the chloride ion concentration or deposition rate will decrease rapidly with the distance from the sea (the distance from the coastline). A power function can be constructed with the relevant variables of the distance from the sea d for data fitting and completion. The power function can be expressed as: z = z0 × d -η , where z0 represents the chloride ion concentration or deposition rate on the strong wind side of the coastline, and η represents the power, which can be obtained by fitting multiple measured data.

[0055] The triangulated area division in S4 can be performed in any manner, as long as the resulting triangles do not overlap. In some embodiments, the triangulated area division in S4 specifically includes: sequentially connecting each position point (including the acquisition point and the auxiliary point) with a line while ensuring that the lines do not intersect, and the resulting result is recorded as the triangulated area division result.

[0056] In some embodiments, S5 may specifically include:

[0057] For each blank point in each triangular area, the pixel coordinates of the blank point are marked as (x, y), and the chloride ion parameter value to be calculated at the blank point is recorded as z. To determine z, perform the following process:

[0058] Calculate the distances between the blank point and the three vertices of the triangular area respectively. The pixel coordinates of the three vertices are marked as (x1, y1), (x2, y2) and (x3, y3). The chloride ion parameter values corresponding to these three vertices are marked as z1, z2 and z3. Represents the square of the distance between the blank point and the i-th vertex among the three vertices, where i is 1, 2, or 3;

[0059] Next, determine the weight a of each vertex based on the distance i , the closer the distance, the greater the weight, for example, For another example,

[0060] Next, the weights are normalized, i.e.

[0061] The normalized weight of each vertex and the chloride ion parameter value corresponding to each vertex are used to perform weighted summation to obtain the chloride ion parameter value corresponding to the blank point, that is,

[0062] The following describes this with a specific example.

[0063] like Figure 2 As shown in FIG1 , in the target area, 8 collection points (i.e., monitoring points) 1#, 3#, 4#, 5#, 7#, 8#, 10#, and 12# are set to collect and organize the chloride ion precipitation data of the target area, as shown in Table 1. It should be noted that the numbers of the 8 monitoring points listed above are only the numbers set for actual collection in the embodiment, and the other numbers (for example, the positions corresponding to 2#, 6#, 9#, and 11# are located indoors, so there is no situation where these points are not considered). After inspection and verification, all the data are within the limit value of 1213.2 mg / m 2 ·d, and the collection point 12# in the living area is on the strong wind side of the coastline, with a precipitation of 202.3 mg / m 2 The value of d is also the largest after all the collection points.

[0064] Table 1 Actual data of annual average chloride ion deposition rate

[0065]

[0066] According to the specific location of each monitoring point, mark it on the map, such as Figure 2 As shown in the figure, the 8 actual data monitoring points in Table 1 are marked with “#” (in Figure 1 Use the image tool to obtain the pixel coordinate data of the marker points at one time and fill in Table 2.

[0067] Next, data enhancement is performed. Observing the satellite map, this area is surrounded by the sea on three sides. Based on the chloride ion deposition at sites 12# and 1# and the curved shape of the beach, it can be determined that the right side is the strong wind side and the left side is the weak wind side. The pixel coordinates of three points (i.e., auxiliary points) such as 13*, 14*, and 15* on the strong wind side coastline are picked up for data enhancement. The chloride ion deposition rate is specified as 202.3 mg / m, the same as that of point 12#. 2 d. On the weak wind side coastline, the pixel coordinates of two points (i.e., auxiliary points) at 17+ and 18+ were picked for data enhancement. The chloride ion deposition rate was set to the same 40.4 mg / m as that at point 1#. 2 ·d; Here, “*” and “+” are used to represent the enhanced data of the coastline on the strong wind side and the weak wind side respectively. Figure 2 The data represented by blue font in the table are also filled in Table 2, forming a total of 13 sets of basic data sets.

[0068] Table 2 Basic data set

[0069]

[0070]

[0071] Next, triangulation is performed. The visualization area of interest (i.e., the target area) is triangulated based on the 13 data points in Table 2 as vertices and divided into 17 minimized triangles, i.e., Δ1 to Δ17, as shown in Figure 3 shown.

[0072] Next, perform regional numerical calculations. For example, if the pixel point A has coordinates (171, 91) and belongs to Δ1, then the three vertices 3#, 4#, and 17+ of Δ1 and their chloride ion precipitation are used as inputs for numerical calculations. As shown in Table 2, the vertex coordinates are (193, 103), (199, 59), and (123, 112), and the corresponding chloride ion precipitation amounts are 38.3, 23.5, and 40.4, respectively. According to the formula Calculate the distance from A to the three vertices: According to the formula Calculate the vertex numerical weights: a1 = 8.25, a2 = 2.87, a3 = 1.89; according to the formula Calculate the weight coefficients a1′=0.6341,a′2=0.2206,a3′=0.1453;According to the formula The calculated settlement value z = 35.3 for pixel A is obtained. This process is repeated until the settlement values of all pixels within Δ1 are calculated, and then the settlement values of all pixels within Δ2 to Δ17 are calculated in sequence.

[0073] Next, the precipitation values of all pixels in the visualization area are integrated into a two-dimensional pixel matrix according to the corresponding pixel coordinates, and the rainbow color spectrum (red, orange, yellow, green, cyan, blue, and purple) is selected for visualization mapping (see Table 3). Table 3 shows the corresponding relationship of the 32-order color spectrum. A more refined 128-order or 256-order color spectrum can be obtained through interpolation. Finally, a pixel matrix value map of chloride ion precipitation is formed, see Figure 4 ,in, Figure 4 The horizontal and vertical coordinates represent the pixel coordinates.

[0074] Table 3 Mapping relationship between sedimentation value and 32-order rainbow color spectrum RGB

[0075]

[0076]

[0077] Finally, the transparency is set (for example, 0.5), and it is overlaid on the base map to obtain the coastal chloride deposition distribution map fused with map information, thus realizing the full-area visualization of coastal chloride deposition. Figure 5 .

[0078] In summary, the present invention addresses the difficulties in collecting chloride ion data, the multiple processing procedures, and the long collection cycle. By combining the actual geographic information of the map, data enhancement is performed using similar point recognition, power function supplementation, and the like, and a triangular weighted algorithm is combined to achieve globalization of a small amount of small sample data. Moreover, by generating a pixel matrix numerical map of chloride ion parameters and adopting a global visualization method, discrete and isolated data are made highly readable and visually appealing, and professional data are converted into intuitive images. Distribution patterns can be obtained efficiently, conveniently, and fully, which helps to quickly assist decision-making and evaluation.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions, which should all be included in the scope of the claims of the present invention.

Claims

1. A global visualization method for chloride ion parameters integrating map information, characterized in that: include: S1: actual data verification, i.e. setting collection points in the target area, collecting chloride ion parameters at the collection points and verifying the collected data to generate an actual data set, wherein the actual data set includes the pixel coordinates of the collection points and the chloride ion parameter values corresponding to the collection points; S2: Marking of collected data, i.e. marking the collection points on the map; S3: augmenting the collected data, i.e., enhancing the data in the collected data set to generate auxiliary data, and merging the auxiliary data with the data in the collected data set to generate a basic data set. The auxiliary data includes the pixel coordinates of the auxiliary points and the chloride ion parameter values corresponding to the auxiliary points. S4: triangulation, that is, dividing the target area into multiple triangular areas based on the points in the basic data set, where the vertices of each triangle are points in the basic data set and the interior of each triangle does not include other points in the basic data set; S5: Global numerical calculation, that is, for each blank point in each triangular area, the chloride ion parameter value corresponding to the blank point is calculated based on the vertex coordinates of the triangle and the chloride ion parameter value corresponding to the vertex coordinates, thereby obtaining the chloride ion parameter value corresponding to each blank point in the target area, wherein the blank point is the point for which the chloride ion parameter value is to be calculated; S6: Visual mapping, that is, integrating the chloride ion parameter value corresponding to each point in the target area into a two-dimensional matrix according to the corresponding pixel coordinates, and mapping it using a preset color spectrum to generate a chloride ion parameter pixel matrix data map; S7: Using a preset transparency, the chloride ion parameter pixel matrix data map is overlaid on the map, thereby obtaining a chloride ion parameter distribution map that integrates the map information.

2. The method for global visualization of chloride ion parameters by integrating map information according to claim 1, characterized in that: The chloride ion parameter is chloride ion concentration or chloride ion precipitation.

3. The method for global visualization of chloride ion parameters by integrating map information according to claim 1, characterized in that: The tests on the collected data in S1 include limit value tests and rationality tests.

4. The method for global visualization of chloride ion parameters by integrating map information according to claim 1, characterized in that: In S3, data enhancement is performed on the data in the actual data set to generate auxiliary data, including: setting auxiliary points according to the type of the target area and determining the chloride ion parameter values corresponding to the auxiliary points.

5. The method for global visualization of chloride ion parameters by integrating map information according to claim 4, characterized in that: S3 specifically includes: If the target area faces the sea on one side, an auxiliary point is determined on the coastline of the target area, and the chloride ion parameter value corresponding to the collection point on the coastline is used as the chloride ion parameter value corresponding to the auxiliary point; If the target area is surrounded by the sea on three sides, auxiliary points are set up on the strong wind side and weak wind side of the coastline respectively, and the chloride ion parameter value corresponding to the collection point on the strong wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the strong wind side, and the chloride ion parameter value corresponding to the collection point on the weak wind side is used as the chloride ion parameter value corresponding to the auxiliary point on the weak wind side; For the open and unobstructed areas in the target area, auxiliary points are set in this area. The chloride ion parameter values corresponding to the auxiliary points in the area are determined by constructing a power function based on the distance between the auxiliary points and the collection points on the strong wind side of the coastline and the chloride ion parameter values corresponding to the collection points on the strong wind side.

6. The method for global visualization of chloride ion parameters by integrating map information according to claim 1, characterized in that: S5 specifically includes: For each blank point in each triangle region, perform the following process: Calculate the distances between the blank point and the three vertices of the triangular area respectively; Determine the weight of each vertex based on the distance; Normalize the weights; The normalized weight of each vertex and the chloride ion parameter value corresponding to each vertex are used to perform weighted summation to obtain the chloride ion parameter value corresponding to the blank point.

7. The method for global visualization of chloride ion parameters by integrating map information according to claim 1, characterized in that: The color spectrum includes 32-step rainbow color spectrum, 128-step rainbow color spectrum, 256-step rainbow color spectrum and the like.

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