CN117671172A - Geophysical data processing method capable of avoiding monitoring blind area - Google Patents
Geophysical data processing method capable of avoiding monitoring blind area Download PDFInfo
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Abstract
The invention discloses a geophysical data processing method for avoiding a monitoring blind area, which comprises the following steps of: constructing a three-dimensional model of the current monitoring area, constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a circle center, and finding corresponding data for each geophysical data in the three-dimensional coordinate system; traversing the data filling condition of each coordinate point, searching a region which has blank image data but text data, and imaging the text data of the region; cutting and splicing the image data based on the three-dimensional coordinate system to obtain a primary three-dimensional monitoring model; the identification of the missing part in the primary three-dimensional monitoring model is realized, image data corresponding to the missing part is obtained, and the missing part is filled in a three-dimensional coordinate system to obtain a three-dimensional dynamic model of the monitoring area; and constructing a data hyperlink point for directly acquiring the target data on the three-dimensional dynamic model. According to the method, the monitoring blind area can be obtained while the geophysical data are sorted, so that the existence of the monitoring blind area is avoided.
Description
Technical Field
The invention relates to the field of geophysical data management, in particular to a geophysical data processing method for avoiding monitoring blind areas.
Background
Geophysical prospecting (geophysical prospecting for short) is a technique for detecting characteristics of a geological structure, lithology, fluid, etc. of a stratum by researching and observing changes in various geophysical fields. In general, the different formation media that make up the earth crust differ in density, elasticity, electrical conductivity, magnetism, radioactivity, and thermal conductivity, which differences will cause local changes in the corresponding geophysical field. By measuring the distribution and change characteristics of the geophysical field and combining known geological data for analysis and research, the purpose of deducing geological properties can be achieved.
Geophysical exploration is an indirect observation method, which utilizes physical principles and specific instruments to obtain physical parameters and rules of known rock ore specimens or geological models, and analyzes, interprets and extracts parameter values which are contained in geophysical observation information and can reflect the spatial morphology, petrophysical properties or mineral characteristics of the geologic body according to established physical rules (mathematical physical models), so as to form geophysical achievements and geological exploration achievements. In geophysical exploration, the primary manifestation of geophysical observations is geophysical data. Geophysical data is a generic term for geophysical observation information acquired by a geophysical prospecting instrument and geological result information extracted by analyzing and interpreting the geophysical observation information.
Because of the numerous methods and types of geophysical exploration, the types of geophysical data are complex and various, but in general, the geophysical data are basically stored in a computer disk, a memory or other storage medium in a specific format and are stored in a database in an isolated form in the form of a file, so that the relevance of the data is poor, a great deal of time is required for arrangement and analysis to acquire target data or the relevance of the data, and the method is time-consuming and labor-consuming, easy to have human arrangement analysis errors and easy to have monitoring dead zones.
Disclosure of Invention
In order to solve the technical problems, the invention provides a geophysical data processing method for avoiding a monitoring blind area, which can realize the visualization and the associated display of geophysical data, so that the rapid fusion, the arrangement and the valuable output of the geophysical data can be realized, and the monitoring blind area is avoided as much as possible.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a geophysical data processing method for avoiding monitoring blind areas comprises the following steps:
s1, constructing a three-dimensional model of a current monitoring area, and constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a circle center, wherein corresponding data are found for each piece of geophysical data in the three-dimensional coordinate system, and the geophysical data comprise text data and image data;
s2, traversing the data filling condition of each coordinate point in the whole three-dimensional coordinate system, searching a region which has blank image data but text data, and imaging the text data of the region;
s3, cutting and splicing all image data based on the three-dimensional coordinate system to obtain a primary three-dimensional monitoring model;
s4, identifying a missing part in the primary three-dimensional monitoring model, acquiring image data corresponding to the missing part, filling the image data in the three-dimensional coordinate system, and realizing color rendering of the primary three-dimensional monitoring model to obtain a three-dimensional dynamic model of the monitoring area;
s5, constructing a data hyperlink point on the obtained three-dimensional dynamic model, enabling a user to input a corresponding control command in a driving dialog box module, driving the three-dimensional dynamic model through the data hyperlink point, and directly obtaining target data.
Further, in the step S1, the text data is performed based on the coordinates of the corresponding monitoring point when the corresponding position is located, and the image data is performed based on the coordinates of the feature point when the corresponding position is located.
Further, in the step S2, the region where the image data is blank refers to a region where the corresponding image data is not acquired, but the related text data is acquired.
Further, in the step S3, before clipping, adjustment of enlarging and reducing the image data is needed according to the acquired characteristics of the image data, and only the overlapping area is clipped during clipping, and an area with relatively high image quality characteristics is selected.
Further, in step S4, firstly, identification of a missing part in the three-dimensional model is achieved based on the neural network model, position information corresponding to the missing part is obtained, target image acquisition coordinates are generated, then, image data of the missing part is obtained through a robot acquisition mode, the obtained image data are filled in the three-dimensional coordinate system according to the target image acquisition coordinates, then, clipping and splicing of the image data are achieved according to the dimensional proportion relation and overlapping area relation between the image data and the primary three-dimensional monitoring model, and color rendering of the three-dimensional monitoring model is achieved, so that a three-dimensional dynamic model of the monitoring area is obtained.
Further, in step S5, a data hyperlink point is constructed on the obtained three-dimensional dynamic model, and an association relationship between the data hyperlink point and a control command, a three-dimensional dynamic model driving script, and a data mining and sorting script is constructed, so that a user can input a corresponding control command in a driving dialog box module to realize driving of the three-dimensional dynamic model through the data hyperlink point, and target data is directly obtained.
Further, in the obtained three-dimensional dynamic model, all text data are marked on corresponding positions through the mode of hyperlinks, meanwhile, all hyperlinks are configured with corresponding wake-up commands, and when the corresponding wake-up commands are received, the data corresponding to the hyperlinks are automatically displayed in a mode of popup dialog boxes.
Further, in the step S2, the boundary point of the three-dimensional model of the current monitoring area is used as a boundary point for traversing the data filling condition of each coordinate point of the whole three-dimensional coordinate system, so as to ensure that the acquired geophysical data can cover the whole monitoring area.
The invention has the following beneficial effects:
1) The visual and associated display of the geophysical data can be realized, so that the rapid fusion, arrangement and valuable output of the geophysical data can be realized;
2) The method can acquire the monitoring blind area while arranging the geophysical data, and further avoid the existence of the monitoring blind area.
3) The on-demand conversion of the data format can be realized while the geophysical data are sorted, so that the obtained three-dimensional dynamic model can contain the whole monitoring area.
4) And the geophysical data are fused and displayed in a three-dimensional dynamic model mode, so that a user can intuitively know the geological property change condition of the current monitoring area.
Drawings
Fig. 1 is a flowchart of a geophysical data processing method for avoiding a monitoring blind area according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a geophysical data processing method for avoiding a monitoring blind area according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
Example 1
As shown in fig. 1, a geophysical data processing method for avoiding a monitoring blind area includes the following steps:
s1, constructing a three-dimensional model of a current monitoring area, and constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a circle center, wherein corresponding data are found for each piece of geophysical data in the three-dimensional coordinate system, and the geophysical data comprise text data and image data; specifically, firstly, obtaining shape parameters, size parameters and the like of a current monitoring area, constructing a three-dimensional model of the current monitoring area, and then constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a round point; the physical data of the gambling ball is divided into text data and image data, the text data is searched for the position of the gambling ball by taking the coordinates of the corresponding monitoring point as a reference, the image data is searched for the position of the gambling ball by taking the coordinates of the characteristic point as a reference, meanwhile, the image acquisition angle of the image data is required to be noted, so that whether the image belongs to overlook, front view, rear view, left side view or right side view is distinguished, generally, the image data does not exactly belong to overlook, front view, rear view, left side view or right side view, therefore, the deflection angle of the image is distinguished by taking the direction which is closer to the direction as a standard, then the image is placed on the corresponding side by taking the corresponding deflection angle as the deflection direction, and a cuboid structure can be obtained after the position searching of all the images is completed.
S2, traversing the data filling condition of each coordinate point in the whole three-dimensional coordinate system, searching a region which has an image data blank but has text data, and imaging the text data of the region, wherein the region which has the image data blank refers to a region which does not collect corresponding image data but collects related text data, such as an underground region and the like; note that all the image data are configured with text data, and the text data are target feature data corresponding to the corresponding image data;
s3, cutting and splicing all image data based on the three-dimensional coordinate system to obtain a primary three-dimensional monitoring model; before cutting, the adjustment of enlarging and reducing the image data is realized according to the acquisition characteristics of the image data, and only the overlapping area is cut during cutting, and the area with relatively high image quality characteristics is selected;
s4, identifying a missing part in the primary three-dimensional monitoring model, acquiring image data corresponding to the missing part, filling the image data in the three-dimensional coordinate system, and realizing color rendering of the primary three-dimensional monitoring model to obtain a three-dimensional dynamic model of the monitoring area; specifically, firstly, identification of a missing part in a three-dimensional model is realized based on a neural network model, position information corresponding to the missing part is obtained, target image acquisition coordinates are generated, then image data of the missing part is obtained through a robot acquisition mode, the obtained image data is filled in the three-dimensional coordinate system according to the target image acquisition coordinates, then cutting and splicing of the image data are realized according to the dimensional proportion relation and the overlapping area relation between the image data and a primary three-dimensional monitoring model, and color rendering of the three-dimensional monitoring model is realized, so that a three-dimensional dynamic model of a monitoring area is obtained.
S5, constructing a data hyperlink point on the obtained three-dimensional dynamic model, enabling a user to input a corresponding control command in a driving dialog box module, driving the three-dimensional dynamic model through the data hyperlink point, and directly obtaining target data. Specifically, a data hyperlink point is constructed on the obtained three-dimensional dynamic model, the association relation between the data hyperlink point and a control command, a three-dimensional dynamic model driving script and a data mining and sorting script is constructed, a user inputs a corresponding control command in a driving dialog box module, driving of the three-dimensional dynamic model can be achieved through the data hyperlink point, and target data is directly obtained.
In this embodiment, in the obtained three-dimensional dynamic model, all text data are marked on corresponding positions through the mode of hyperlinks, and at the same time, all hyperlinks are configured with corresponding wake-up commands, and when the corresponding wake-up commands are received, the data corresponding to the hyperlinks are automatically displayed in the mode of pop-up dialog boxes.
Example two
As shown in fig. 2, a geophysical data processing method for avoiding a monitoring blind area includes the following steps:
s1, constructing an incidence relation between collected data corresponding to each collection device, wherein the incidence relation comprises an incidence relation between data features and an incidence relation between positions of collection points;
s2, constructing a three-dimensional model of the current monitoring area, and constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a circle center, wherein corresponding data are found for each piece of geophysical data in the three-dimensional coordinate system, and the geophysical data comprise text data and image data; specifically, firstly, obtaining shape parameters, size parameters and the like of a current monitoring area, constructing a three-dimensional model of the current monitoring area, and then constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a round point; then dividing the physical data of the gambling ball into text data and image data, searching the position of the text data by taking the coordinates of the corresponding monitoring point as a reference, searching the position of the image data by taking the coordinates of the characteristic point as a reference, and meanwhile, paying attention to the image acquisition angle of the image data, so as to distinguish whether the image belongs to overlook, front view, back view, left side view or right side view, generally, the image data does not exactly belong to overlook, front view, back view, left side view or right side view, therefore, the deflection angle of the image is distinguished by taking which direction is closer as a standard, then the image is placed on the corresponding side by taking the corresponding deflection angle of the image as the deflection direction, and a cuboid structure can be obtained after the position searching of all the images is completed, wherein the association relation between the acquired data can be used for assisting in determining the position and the deflection angle in the step;
s3, traversing the data filling condition of each coordinate point in the whole three-dimensional coordinate system, searching a region which has an image data blank but has text data, and imaging the text data of the region, wherein the region which has the image data blank refers to a region which does not collect corresponding image data but collects related text data, such as an underground region and the like; note that all the image data are configured with text data, and the text data are target feature data corresponding to the corresponding image data;
s4, cutting and splicing all image data based on the three-dimensional coordinate system to obtain a primary three-dimensional monitoring model; before cutting, the adjustment of enlarging and reducing the image data is realized according to the acquisition characteristics of the image data, and only the overlapping area is cut during cutting, and the area with relatively high image quality characteristics is selected;
s5, identifying the missing part in the primary three-dimensional monitoring model, acquiring image data corresponding to the missing part, filling the image data in the three-dimensional coordinate system, and realizing color rendering of the primary three-dimensional monitoring model to obtain a three-dimensional dynamic model of the monitoring area; specifically, firstly, identification of a missing part in a three-dimensional model is realized based on a neural network model, position information corresponding to the missing part is obtained, target image acquisition coordinates are generated, then image data of the missing part is obtained through a robot acquisition mode, the obtained image data is filled in the three-dimensional coordinate system according to the target image acquisition coordinates, then cutting and splicing of the image data are realized according to the dimensional proportion relation and the overlapping area relation between the image data and a primary three-dimensional monitoring model, and color rendering of the three-dimensional monitoring model is realized, so that a three-dimensional dynamic model of a monitoring area is obtained.
S6, constructing a data hyperlink point on the obtained three-dimensional dynamic model, enabling a user to input a corresponding control command in a driving dialog box module, driving the three-dimensional dynamic model through the data hyperlink point, and directly obtaining target data. Specifically, a data hyperlink point is constructed on the obtained three-dimensional dynamic model, the association relation between the data hyperlink point and a control command, a three-dimensional dynamic model driving script and a data mining and sorting script is constructed, a user can input a corresponding control command in a driving dialog box module to realize driving of the three-dimensional dynamic model through the data hyperlink point, and target data is directly obtained;
s7, building various target data acquisition models, and building association relations between the target data acquisition models and text data, so that various target data can be automatically acquired; each target data acquisition model is configured with a program capable of realizing hyperlink awakening of text data and associated relation data which have associated relation with the target data acquisition model, crawling the associated text data, and further automatically displaying each target data below a model display interface, wherein each target data can be configured with a corresponding evaluation index, different evaluation indexes correspond to different font colors, and a target data summarizing module is configured to summarize the target data in the form of an EXCEL table, and the target data with problems can be acquired at a glance due to different font colors.
In this embodiment, in the obtained three-dimensional dynamic model, all text data are marked at corresponding positions by means of the hyperlink modes, and the association relationship data of all data are also contained in the parameters of the three-dimensional dynamic model in the hyperlink modes, and meanwhile, all hyperlinks are configured with corresponding wake-up commands, and when the corresponding wake-up commands are received, the data corresponding to the hyperlinks are automatically displayed in the pop-up dialog box mode.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (8)
1. The geophysical data processing method for avoiding the monitoring blind area is characterized by comprising the following steps of:
s1, constructing a three-dimensional model of a current monitoring area, and constructing a three-dimensional coordinate system by taking a central point of the three-dimensional model as a circle center, wherein corresponding data are found for each piece of geophysical data in the three-dimensional coordinate system, and the geophysical data comprise text data and image data;
s2, traversing the data filling condition of each coordinate point in the whole three-dimensional coordinate system, searching a region which has blank image data but text data, and imaging the text data of the region;
s3, cutting and splicing all image data based on the three-dimensional coordinate system to obtain a primary three-dimensional monitoring model;
s4, identifying a missing part in the primary three-dimensional monitoring model, acquiring image data corresponding to the missing part, filling the image data in the three-dimensional coordinate system, and realizing color rendering of the primary three-dimensional monitoring model to obtain a three-dimensional dynamic model of the monitoring area;
s5, constructing a data hyperlink point on the obtained three-dimensional dynamic model, enabling a user to input a corresponding control command in a driving dialog box module, driving the three-dimensional dynamic model through the data hyperlink point, and directly obtaining target data.
2. The method for processing geophysical data avoiding a blind area according to claim 1, wherein in the step S1, the text data is performed based on coordinates of the corresponding monitoring point when the corresponding position is located, and the image data is performed based on coordinates of the feature point when the corresponding position is located.
3. The method of claim 1, wherein in the step S2, the region where the image data is blank refers to a region where the corresponding image data is not acquired but the related text data is acquired.
4. The method for processing geophysical data avoiding a blind area according to claim 1, wherein in the step S3, before clipping, adjustment of image data for enlarging and reducing is performed according to the acquired characteristics of the image data, and only the overlapping area is clipped during clipping, and an area with relatively high image quality characteristics is selected.
5. The geophysical data processing method for avoiding a monitoring blind area according to claim 1, wherein in the step S4, firstly, identification of a missing part in a three-dimensional model is realized based on a neural network model, position information corresponding to the missing part is acquired, target image acquisition coordinates are generated, then, image data of the missing part is acquired through a robot acquisition mode, the obtained image data is filled in the three-dimensional coordinate system according to the target image acquisition coordinates, then, clipping and splicing of the image data are realized according to a dimensional proportion relation and an overlapping area relation between the image data and a primary three-dimensional monitoring model, and color rendering of the three-dimensional monitoring model is realized, so that a three-dimensional dynamic model of a monitoring area is obtained.
6. The geophysical data processing method for avoiding a monitoring blind area according to claim 1, wherein in the step S5, a data hyperlink point is constructed on the obtained three-dimensional dynamic model, and an association relationship between the data hyperlink point and a control command, a three-dimensional dynamic model driving script and a data mining and sorting script is constructed, and a user can realize driving of the three-dimensional dynamic model through the data hyperlink point by inputting a corresponding control command in a driving dialog box module, and directly obtain target data.
7. The method for processing geophysical data avoiding a blind monitoring area according to claim 1, wherein in the obtained three-dimensional dynamic model, all text data are marked at corresponding positions through a mode of hyperlinks, and all hyperlinks are configured with corresponding wake-up commands, and when the corresponding wake-up commands are received, the data corresponding to the hyperlinks are automatically displayed in a mode of popup dialog boxes.
8. The method for processing geophysical data avoiding a blind area according to claim 1, wherein in step S2, boundary points of a three-dimensional model of a current monitored area are used as boundary points for traversing data filling conditions of each coordinate point of the whole three-dimensional coordinate system, so as to ensure that the collected geophysical data can cover the whole monitored area.
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