Intelligent ground environment detection method based on multi-source data

Abstract

The invention discloses a ground environment intelligent detection method based on multi-source data, and the method comprises the steps: a three-source data collection module builds and cooperates with a base station which carries out the collection processing of image collection data; the three-source data acquisition module comprises a grid type ground equipment image information acquisition module, a ground radar image information acquisition module and an air satellite image information acquisition module, and area image information is acquired through three positions of the ground, the ground surface high position and the air. Wherein the grid type ground equipment image information acquisition module divides an area into unit sub-areas and establishes a base point in each unit sub-area, and an environment acquisition depth camera is installed at the base point. According to the ground environment detection method designed by the invention, three different ground environment data acquisition modes are adopted to independently acquire ground data, and the acquired data are compared and corrected to improve the accuracy of data acquisition.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental data detection methods, and in particular to an intelligent ground environment detection method based on multi-source data. Background Art

[0002] Ground environmental monitoring refers to the process of monitoring and measuring various physical, chemical and biological parameters on the surface and in the surrounding environment. This type of monitoring is usually aimed at assessing environmental quality, monitoring environmental pollution or changes, and providing data support for environmental protection, resource management and public health. Ground environmental monitoring collects a large amount of data to monitor and assess environmental quality and changes, providing a scientific basis for environmental management, policy making and emergency response. When acquiring data on ground environmental images of a certain area, it is often necessary to use special testing equipment to collect the ground environmental image data.

[0003] However, the existing methods for ground environment detection and data collection have the following problems: in the process of collecting environmental image data for a small area, the image data is often obtained through various sensor devices distributed in the area, while for image data collection for a large area, image information is often collected with the help of aerial equipment such as satellites. The former has a higher accuracy for image data detection, but the installation cost is higher, while the latter has a fast data detection speed, but often lacks accuracy. In addition, the ground environment detection methods for a certain area mostly use a single detection method to operate, which may lead to errors and inaccurate data information. To this end, it is necessary to design corresponding technical solutions to solve the existing technical problems. Summary of the invention

[0004] The purpose of the present invention is to provide a method for intelligent detection of ground environment based on multi-source data, which solves the problem that in the process of collecting environmental image data for a relatively small area, image data is often obtained through various sensor devices distributed in the area, while image information is often collected with the help of aerial equipment such as satellites when collecting image data for a relatively large area. The former has a higher accuracy in image data detection, but the installation cost is relatively high, while the latter has a fast data detection speed, but often lacks accuracy. In addition, most of the ground environment detection methods for a certain area adopt a single detection method for operation, which may lead to errors and inaccurate data information. This technical problem is solved by the present invention. The detection method for ground environment designed by the invention adopts a three-source data acquisition method, and obtains regional image information from three positions: ground, high surface and air through a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and accurately acquires the environment in the region, regionally acquires it and acquires it as a whole, greatly improving the accuracy of ground image information acquisition. In addition, the three image data acquisition methods complement each other. On the one hand, the difference positions are compared and corrected during the image acquisition and mapping process to improve the accuracy of detection. On the other hand, the three data detection methods can achieve the purpose of refining the ground environment data in the region layer by layer.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for intelligent detection of ground environment based on multi-source data, comprising a three-source data acquisition module to establish and cooperate with a base station for summarizing and processing image acquisition data, wherein the three-source data acquisition module comprises a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and acquires regional image information from three positions: the ground, the surface high position and the air, respectively. The grid-type ground equipment image information acquisition module divides the area into unit sub-areas and establishes base points in each unit sub-area, and an environment acquisition depth camera is installed at the base point. The ground radar image information acquisition module comprises several groups of base towers installed in the area and laser radar sensors erected on the base towers. The aerial satellite image information acquisition module comprises Beidou satellites to detect the area and summarize and integrate the acquisition through GIS. The three-source data acquisition modules transmit the acquired information to the base station respectively, and the base station summarizes and processes the information from each source. The information summary from each source performs information mapping, image information comparison and difference position information extraction on the image information respectively, and then processes the difference position information and uploads the corrected information to the cloud platform.

[0006] As a preferred embodiment of the present invention, the grid format in the area is established by equidistantly arranging the grids in the horizontal and vertical directions to form a grid structure, and each unit sub-area has the same area, and the base point is set at the center of the unit sub-area.

[0007] As a preferred embodiment of the present invention, the distribution density of the environment acquisition depth cameras in the area is five times the distribution density of the laser radar sensors.

[0008] As a preferred embodiment of the present invention, the base station is arranged at the center of the region and simultaneously receives information uploaded by the grid-type ground equipment image information acquisition module and the ground radar image information acquisition module at a close distance.

[0009] As a preferred embodiment of the present invention, in the process of summarizing the image information from three sources, each source information is relatively compared and each image information is generated respectively, and the image information is compared by a computer, and the image of the difference position and the geographical location of the position are marked, and the marked difference position is verified by manual and equipment field information collection.

[0010] As a preferred embodiment of the present invention, the above-mentioned method of collecting the difference positions manually and by equipment on-site is used to collect the difference positions, and the generated image information is corrected according to the actual environmental data, and the corrected ground environmental data is uploaded.

[0011] As a preferred embodiment of the present invention, the three-source data acquisition module includes a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, which respectively accurately acquire, regionalize and overall acquire the environment in the area.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] 1. The detection method for ground environment designed by the present invention adopts a three-source data acquisition method, and acquires regional image information at three positions: ground, high surface and air through a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and accurately acquires the environment in the region, regionally acquires it and acquires it as a whole, greatly improving the accuracy of ground image information acquisition. In addition, the three image data acquisition methods complement each other. On the one hand, the difference positions are compared and corrected during the image acquisition and mapping process to improve the accuracy of detection. On the other hand, the three data detection methods can achieve the purpose of refining the ground environment data in the region layer by layer.

[0014] 2. The ground environment detection method designed by the present invention adopts three different ground environment data collection methods to independently acquire ground data respectively, and compares and corrects the acquired data to improve the accuracy of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the overall method of the present invention;

[0016] Figure 2 This is a distribution diagram of the three-source data acquisition modules described in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1-2 The present invention provides a technical solution: a method for intelligent detection of ground environment based on multi-source data, including a three-source data acquisition module to establish and cooperate with a base station for summarizing and processing image acquisition data, the three-source data acquisition module includes a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and acquires regional image information from three positions: ground, surface high and aerial, respectively. The grid-type ground equipment image information acquisition module divides the region into unit sub-regions and establishes base points in each unit sub-region, and an environment acquisition depth camera is installed at the base point. The ground radar image information acquisition module includes a plurality of groups of base towers installed in the region and a laser radar sensor erected on the base tower. The aerial satellite image information acquisition module includes a Beidou satellite to detect the region and summarize and integrate the acquisition through GIS. The three-source data acquisition modules transmit the acquired information to the base station respectively, and the base station summarizes and processes the information from each source. The information summary from each source performs information mapping, image information comparison and difference position information extraction on the image information respectively, and then processes the difference position information and uploads the corrected information to the cloud platform.

[0019] Further improvement, such as Figure 1 As shown, the grid format in the area is established by equidistant horizontal and vertical arrangement to form a grid structure, and each unit sub-area has the same area, and the base point is set at the center of the unit sub-area.

[0020] Further improvement, such as Figure 1As shown, the distribution density of environment depth cameras in the area is five times that of lidar sensors.

[0021] Further improvement, such as Figure 1 As shown, the base station is set at the center of the area and simultaneously receives information uploaded by the grid-type ground equipment image information acquisition module and the ground radar image information acquisition module at a close distance.

[0022] Further improvement, such as Figure 1 As shown, in the process of summarizing the image information from three sources, the information from each source is relatively compared and the image information is generated respectively, and the image information is compared by computer, the image of the difference position and the geographical location of the position are marked, and the marked difference position is verified by field information collection by manual and equipment.

[0023] As a preferred embodiment of the present invention, the above-mentioned method of collecting the difference positions manually and by equipment on-site is used to collect the difference positions, and the generated image information is corrected according to the actual environmental data, and the corrected ground environmental data is uploaded.

[0024] Specifically, the three-source data acquisition module includes a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, which respectively accurately acquire, regionalize and overall acquire the environment in the area.

[0025] The detection method for the ground environment designed by the ground environment intelligent detection method based on multi-source data adopts a three-source data acquisition method, and respectively acquires regional image information at three positions: ground, surface high and air through a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and respectively acquires the environment in the region accurately, regionally and as a whole, greatly improving the accuracy of ground image information acquisition. In addition, the three image data acquisition methods complement each other. On the one hand, the difference positions are compared and corrected in the process of image acquisition and mapping to improve the accuracy of detection. On the other hand, the three data detection methods can achieve the purpose of refining the ground environment data in the region layer by layer.

[0026] In the description of the present invention, it is necessary to understand that the terms "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inside", "front", "center", "both ends" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0027] In addition, the terms "first", "second", "third" and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first", "second", "third" and "fourth" may explicitly or implicitly include at least one of such features.

[0028] In the present invention, unless otherwise clearly stipulated and limited, the terms such as "installation", "setting", "connection", "fixation" and "screw-on" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, ordinary technicians in this field can understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0029] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for intelligent detection of ground environment based on multi-source data, characterized in that: The invention comprises a base station for establishing and cooperating with a three-source data acquisition module to summarize and process image acquisition data. The three-source data acquisition module comprises a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, and acquires regional image information from three positions: the ground, the surface high position and the air. The grid-type ground equipment image information acquisition module divides the region into unit sub-regions and establishes base points in each unit sub-region, and an environment acquisition depth camera is installed at the base point. The ground radar image information acquisition module comprises several groups of base towers installed in the region and a laser radar sensor erected on the base tower. The aerial satellite image information acquisition module comprises a Beidou satellite to detect the region and summarize and integrate the acquisition through GIS. The three-source data acquisition modules transmit the acquired information to the base station respectively, and the base station summarizes and processes the information from each source. The information from each source summarizes the image information and performs information mapping, image information comparison and difference position information extraction, and then processes the difference position information and uploads the corrected information to the cloud platform.

2. The method for intelligently detecting a ground environment based on multi-source data according to claim 1, characterized in that: The grid format in the area is established by equidistantly arranging the grids in the horizontal and vertical directions to form a grid structure, and each unit sub-area has the same area, and the base point is set at the center of the unit sub-area.

3. The method for intelligent detection of ground environment based on multi-source data according to claim 1, characterized in that: The distribution density of the environment acquisition depth cameras in the area is five times the distribution density of the laser radar sensors.

4. The method for intelligently detecting a ground environment based on multi-source data according to claim 1, characterized in that: The base station is arranged at the center of the area and simultaneously receives information uploaded by the grid-type ground equipment image information acquisition module and the ground radar image information acquisition module at a close distance.

5. The method for intelligently detecting a ground environment based on multi-source data according to claim 1, characterized in that: In the process of summarizing the image information from the three sources, the information from each source is compared relatively and the image information is generated respectively. The image information is compared by computer, and the images of the different positions and the geographical locations of the positions are marked. The marked different positions are verified by field information collection through manual and equipment.

6. The method for intelligently detecting a ground environment based on multi-source data according to claim 1, characterized in that: The above-mentioned method of collecting the difference positions manually and by equipment on-site is used to collect the difference positions, and the generated image information is corrected and processed according to the actual environmental data, and the corrected ground environmental data is uploaded.

7. The method for intelligently detecting ground environment based on multi-source data according to claim 1, characterized in that: The three-source data acquisition module includes a grid-type ground equipment image information acquisition module, a ground radar image information acquisition module and an aerial satellite image information acquisition module, which respectively accurately acquire the environment in the area, regionally acquire the environment and acquire the environment as a whole.

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