Vegetation recovery state tracking system based on image acquisition

Abstract

The invention relates to the technical field of vegetation recovery, and discloses a vegetation recovery state tracking system based on image acquisition, which is characterized in that an image acquisition module divides a whole vegetation area into n grid areas, and a high-precision camera is arranged in each grid area to track the recovery state of each grid area; then analyzing the whole vegetation recovery process data of each grid region through an image analysis module, respectively judging whether the vegetation recovery state of each grid region is normal or not, if not, sending out an early warning through a state early warning module, and meanwhile, carrying out consistency analysis on the vegetation recovery state of each grid region; the situation that the current grid area recovers the state too fast, ecological competition is caused, vegetation state recovery of other grid areas is affected, and consequently the whole vegetation state recovery is affected is avoided, and finally, the tracking process of the vegetation recovery state is displayed to a user through a data output module and shared to a cloud end for other users or institutions to use.

Description

Technical Field

[0001] The invention relates to the technical field of vegetation restoration, and in particular to a vegetation restoration state tracking system based on image acquisition. Background Art

[0002] Vegetation refers to the plant community covering a certain area on the earth's surface. It is closely related to natural environmental factors such as climate, soil, topography, animal kingdom and water conditions. Globally, it can be divided into two categories: marine vegetation and terrestrial vegetation. Due to the great differences in terrestrial environments, a variety of vegetation types have been formed, which can be divided into multi-level classification series such as vegetation type, plant community and cluster. It can also be divided into natural vegetation and artificial vegetation. Artificial vegetation includes farmland, orchards, grasslands, artificial forests and urban green spaces. Natural vegetation includes primary vegetation, secondary vegetation, etc.

[0003] In recent years, the demand for vegetation restoration status tracking in the fields of ecological protection and agricultural production has been growing. The existing vegetation restoration status tracking mainly judges the vegetation restoration status based on real-time data. Although it can judge whether the current overall vegetation restoration status meets the requirements, it lacks overall feedback on the entire restoration process. Moreover, the vegetation area is an overall environment. Due to the influence of natural environmental factors, the recovery of the entire vegetation status may lack balance, resulting in niche competition, causing the vegetation recovery status of one area to affect the recovery of another vegetation status too quickly. Therefore, it is necessary to track the vegetation status of different regions of the entire vegetation. Summary of the invention

[0004] The purpose of the present invention is to provide a vegetation restoration status tracking system based on image acquisition to solve the above technical problems.

[0005] The object of the present invention can be achieved through the following technical solutions: A vegetation restoration status tracking system based on image acquisition, including an image acquisition module, an image analysis module, and a status warning module; The image acquisition module includes a plurality of high-precision cameras distributed in the vegetation area and used for regularly taking images of the vegetation area; The image analysis module is used to analyze the image data collected by the image acquisition module; The status warning module is used to warn the vegetation restoration status according to the analysis result of the image analysis module.

[0006] As a further description of the solution of the present invention, the working process of the image acquisition module includes: The vegetation area is divided into n grids, and a group of high-precision cameras is set in each grid; The plant growth height h and green leaf area ratio S of the corresponding area are periodically photographed by a high-precision camera; According to the time-varying trends of plant growth height h and green leaf area S in the corresponding area, a time-varying curve of plant growth height h in the i-th grid area is constructed. The curve of green leaf area ratio S changing with time , where i belongs to n.

[0007] As a further description of the solution of the present invention, the working process of the image analysis module includes: The plant growth height h in the i-th grid area is obtained in real time through the image acquisition module i and green leaf area ratio S i ; Analyze the recovery status of plants in the i-th grid area. If data that does not meet the preset target value is found, an early warning is immediately issued through the status early warning module. Otherwise, a consistency analysis is performed.

[0008] As a further description of the solution of the present invention, the working process of analyzing the recovery status of plants in the i-th grid area includes: Calculate the plant growth height h in the i-th grid area i Status parameters: Calculate the proportion of green leaf area S of the i-th grid area i Status parameters: In the formula, is the plant growth height h of the i-th grid area i The state parameters, is the proportion of green leaf area of ​​plants in the i-th grid area S i The state parameters are: m is the number of cycles of the high-precision camera at the current moment, j is the jth shooting cycle of the high-precision camera, is the plant growth height weight coefficient corresponding to the jth shooting cycle, is the weight coefficient of the plant green leaf area ratio corresponding to the jth shooting cycle, is the standard growth trend of plant height in the jth shooting cycle, is the standard growth trend of the green leaf area ratio of plants in the jth growth shooting cycle, t j is the initial time point of the jth shooting cycle, is the end time point of the jth shooting cycle, is the duration of the jth shooting cycle; and They are compared with the set thresholds respectively. If they are greater than the set thresholds, an early warning is immediately issued through the status early warning module. Otherwise, further judgment is made.

[0009] As a further description of the solution of the present invention, the further determination process includes: Calculate the vegetation restoration state parameters of the i-th grid area: In the formula, , and are weight coefficients, is the state parameter of the corresponding relationship between the plant growth height and the proportion of plant green leaf area in the i-th grid area; Substitute equations (1) and (2) into equation (3) to calculate the vegetation restoration state parameter of the i-th grid area; The vegetation restoration state parameter of the i-th grid area Compared with the preset target threshold range, if If it does not fall within the target threshold range, it means that the vegetation recovery status of the i-th grid area at the current moment is abnormal, and an early warning is immediately issued through the status early warning module.

[0010] As a further description of the solution of the present invention, the state parameter of the corresponding relationship between the plant growth height and the plant green leaf area ratio in the i-th grid area is Obtained by the following formula: In the above formula, is the ratio function of plant growth height and plant green leaf area ratio, is the curve of the ratio of plant growth height and plant green leaf area ratio over time in the i-th grid area, that is, The standard change curve of the ratio of plant growth height and plant green leaf area ratio in the i-th grid area, is the weight coefficient of the plant growth height and the proportion of the plant green leaf area corresponding to the jth shooting cycle.

[0011] As a further description of the solution of the present invention, the process of the consistency analysis includes: The consistency parameter of the i-th grid area is calculated by the following formula: Where n is the number of grid areas; Substituting formula (3) into formula (5) we can calculate the consistency parameter of the i-th grid area; Set the consistency parameter of the i-th grid area Compared with the set threshold, if the consistency parameter of the i-th grid area If it is greater than the set threshold, an early warning will be issued immediately through the status early warning module.

[0012] As a further description of the scheme of the present invention, the system also includes a data output module, which is used to display the processed vegetation restoration status data to the user in a visual form so that the user can intuitively understand the vegetation restoration situation. At the same time, the data output module also has a data sharing function, which can upload the data to the cloud database for sharing and use by other users or organizations.

[0013] Beneficial effects of the present invention: The image acquisition module of the present invention divides the entire vegetation area into n grid areas, and sets a high-precision camera in each grid area to track the recovery status of each grid area. Then, the image analysis module analyzes the data of the entire vegetation recovery process of each grid area, and judges whether the vegetation recovery status of each grid area is normal. Otherwise, a warning is issued through the status warning module. At the same time, the consistency analysis of the vegetation recovery status of each grid area is also performed to avoid the current grid area recovering too quickly, causing ecological competition, affecting the vegetation recovery of other grid areas, and thus affecting the recovery of the entire vegetation status. Finally, the present invention will display the tracking process of the vegetation recovery status to the user through the data output module and share it to the cloud for use by other users or organizations. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 It is a structural schematic diagram of the vegetation restoration status tracking system based on image acquisition provided by the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] See also Figure 1 ,The present invention is a vegetation restoration status tracking system based on image acquisition, including an image acquisition module, an image analysis module, and a status warning module; The image acquisition module includes a plurality of high-precision cameras distributed in the vegetation area and used for regularly taking images of the vegetation area; The image analysis module is used to analyze the image data collected by the image acquisition module; The status warning module is used to warn the vegetation restoration status according to the analysis result of the image analysis module.

[0018] The working process of the image acquisition module includes: The vegetation area is divided into n grids, and a group of high-precision cameras is set in each grid; The plant growth height h and green leaf area ratio S of the corresponding area are periodically photographed by a high-precision camera; According to the time-varying trends of plant growth height h and green leaf area S in the corresponding area, a time-varying curve of plant growth height h in the i-th grid area is constructed. The curve of green leaf area ratio S changing with time , where i belongs to n.

[0019] Through the above technical solution, this embodiment divides the entire vegetation area into n grid areas through the image acquisition module, and sets a high-precision camera in each grid area to monitor the recovery status of the vegetation. At the same time, according to the time-varying trend of the plant growth height h and the green leaf area S in the corresponding area, a time-varying curve of the plant growth height h in the i-th grid area is constructed. The curve of green leaf area ratio S changing with time .

[0020] The working process of the image analysis module includes: The plant growth height h in the i-th grid area is obtained in real time through the image acquisition module i and green leaf area ratio S i ; Analyze the recovery status of plants in the i-th grid area. If data that does not meet the preset target value is found, an early warning is immediately issued through the status early warning module. Otherwise, a consistency analysis is performed.

[0021] The working process of analyzing the recovery status of plants in the i-th grid area includes: Calculate the plant growth height h in the i-th grid area i Status parameters:

[0022] Calculate the proportion of green leaf area S of the i-th grid area i Status parameters: In the formula, is the plant growth height h of the i-th grid area i The state parameters, is the proportion of green leaf area of ​​plants in the i-th grid area S i The state parameters are: m is the number of cycles of the high-precision camera at the current moment, j is the jth shooting cycle of the high-precision camera, is the plant growth height weight coefficient corresponding to the jth shooting cycle, is the weight coefficient of the plant green leaf area ratio corresponding to the jth shooting cycle, is the standard growth trend of plant height in the jth shooting cycle, is the standard growth trend of the green leaf area ratio of plants in the jth growth shooting cycle, t j is the initial time point of the jth shooting cycle, is the end time point of the jth shooting cycle, is the duration of the jth shooting cycle; and They are compared with the set thresholds respectively. If they are greater than the set thresholds, an early warning is immediately issued through the status early warning module. Otherwise, further judgment is made.

[0023] Through the above technical solution, this application is based on the formula and formula Calculate the state parameters of the plant growth height hi of the i-th grid area and the state parameters of the plant green leaf area ratio Si of the i-th grid area respectively, and then and They are compared with the set thresholds respectively. If they are greater than the set thresholds, an early warning is immediately issued through the status early warning module.

[0024] The further determination process includes: Calculate the vegetation restoration state parameters of the i-th grid area: In the formula, , and are weight coefficients, is the state parameter of the corresponding relationship between the plant growth height and the plant green leaf area ratio in the i-th grid area; Substituting equations (1) and (2) into equation (3) we can calculate the vegetation restoration state parameters of the i-th grid area; The vegetation restoration state parameter of the i-th grid area Compared with the preset target threshold range, if If it does not fall within the target threshold range, it means that the vegetation recovery status of the i-th grid area at the current moment is abnormal, and an early warning is immediately issued through the status early warning module.

[0025] The state parameter of the corresponding relationship between the plant growth height and the plant green leaf area ratio in the i-th grid area Obtained by the following formula: In the above formula, is the ratio function of plant growth height and plant green leaf area ratio, is the curve of the ratio of plant growth height and plant green leaf area ratio over time in the i-th grid area, that is, The standard change curve of the ratio of plant growth height and plant green leaf area ratio in the i-th grid area, is the weight coefficient of the plant growth height and the proportion of the plant green leaf area corresponding to the jth shooting cycle.

[0026] Through the above technical solution, this embodiment calculates the vegetation restoration state parameter of the i-th grid area according to the state parameter of the plant growth height hi of the i-th grid area and the state parameter of the plant green leaf area ratio Si of the i-th grid area, and combines the corresponding relationship between the plant growth height and the plant green leaf area ratio of the i-th grid area, and then calculates the vegetation restoration state parameter of the i-th grid area. Compared with the preset target threshold range, if If it does not fall within the target threshold range, it means that the vegetation recovery status of the i-th grid area at the current moment is abnormal, and an early warning is immediately issued through the status early warning module.

[0027] It should be noted that , , Determined by the current growth stage of the plant. , and For empirical data.

[0028] The consistency analysis process includes: The consistency parameter of the i-th grid area is calculated by the following formula: Where n is the number of grid areas; Substituting formula (3) into formula (5) we can calculate the consistency parameter of the i-th grid area; The consistency parameter C of the i-th grid area i Compared with the set threshold, if the consistency parameter C of the i-th grid area i If it is greater than the set threshold, an early warning will be issued immediately through the status early warning module.

[0029] Through the above technical solution, this embodiment is based on the formula Calculate the consistency parameter of the ith grid area and convert the consistency parameter C of the ith grid area into i Compared with the set threshold, if the consistency parameter C of the i-th grid area i If it is greater than the set threshold, it means that the current area causes ecological competition to other areas, or other areas cause ecological competition to the current area, affecting the recovery of the entire vegetation state, and an early warning is immediately issued through the status early warning module.

[0030] The system also includes a data output module, which is used to display the processed vegetation restoration status data to the user in a visual form so that the user can intuitively understand the vegetation restoration situation. At the same time, the data output module also has a data sharing function, which can upload the data to the cloud database for sharing and use by other users or institutions.

[0031] Working principle: The image acquisition module of the present invention divides the entire vegetation area into n grid areas, and sets a high-precision camera in each grid area to track the recovery status of each grid area. Then, the image analysis module analyzes the data of the entire vegetation recovery process in each grid area, and judges whether the vegetation recovery status of each grid area is normal. Otherwise, a warning is issued through the status warning module. At the same time, a consistency analysis is performed on the vegetation recovery status of each grid area to avoid the current grid area recovering too quickly, causing ecological competition, affecting the recovery of vegetation status in other grid areas, and thus affecting the recovery of the entire vegetation status. Finally, the present invention will display the tracking process of vegetation recovery status to users through the data output module and share it to the cloud for use by other users or organizations.

[0032] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A vegetation restoration status tracking system based on image acquisition, characterized in that: It includes image acquisition module, image analysis module and status warning module; The image acquisition module includes a plurality of high-precision cameras distributed in the vegetation area and used for regularly taking images of the vegetation area; The image analysis module is used to analyze the image data collected by the image acquisition module; The status warning module is used to warn the vegetation restoration status according to the analysis result of the image analysis module.

2. The vegetation restoration status tracking system based on image acquisition according to claim 1, characterized in that: The working process of the image acquisition module includes: The vegetation area is divided into n grids, and a group of high-precision cameras is set in each grid; The plant growth height h and green leaf area ratio S of the corresponding area are periodically photographed by a high-precision camera; According to the time-varying trends of plant growth height h and green leaf area S in the corresponding area, a time-varying curve of plant growth height h in the i-th grid area is constructed. The curve of green leaf area ratio S changing with time , where i belongs to n.

3. The vegetation restoration status tracking system based on image acquisition according to claim 2 is characterized in that: The working process of the image analysis module includes: The plant growth height h in the i-th grid area is obtained in real time through the image acquisition module i and green leaf area ratio S i ; Analyze the recovery status of plants in the i-th grid area. If data that does not meet the preset target value is found, an early warning is immediately issued through the status early warning module. Otherwise, a consistency analysis is performed.

4. The vegetation restoration status tracking system based on image acquisition according to claim 3 is characterized in that: The working process of analyzing the recovery status of plants in the i-th grid area includes: Calculate the plant growth height h in the i-th grid area i Status parameters: Calculate the proportion of green leaf area S of the i-th grid area i Status parameters: In the formula, is the plant growth height h of the i-th grid area i The state parameters, is the proportion of green leaf area of ​​plants in the i-th grid area S i The state parameters are: m is the number of cycles of the high-precision camera at the current moment, j is the jth shooting cycle of the high-precision camera, is the plant growth height weight coefficient corresponding to the jth shooting cycle, is the weight coefficient of the plant green leaf area ratio corresponding to the jth shooting cycle, is the standard growth trend of plant height in the jth shooting cycle, is the standard growth trend of the green leaf area ratio of plants in the jth growth shooting cycle, t j is the initial time point of the jth shooting cycle, is the end time point of the jth shooting cycle, is the duration of the jth shooting cycle; Will and They are compared with the set thresholds respectively. If they are greater than the set thresholds, an early warning is immediately issued through the status early warning module. Otherwise, further judgment is made.

5. The vegetation restoration status tracking system based on image acquisition according to claim 4 is characterized in that: The further determination process includes: Calculate the vegetation restoration state parameters of the i-th grid area: In the formula, , and are weight coefficients, is the state parameter of the corresponding relationship between the plant growth height and the plant green leaf area ratio in the i-th grid area; Substituting equations (1) and (2) into equation (3) we can calculate the vegetation restoration state parameters of the i-th grid area; The vegetation restoration state parameter of the i-th grid area Compared with the preset target threshold range, if If it does not fall within the target threshold range, it means that the vegetation recovery status of the i-th grid area at the current moment is abnormal, and an early warning is immediately issued through the status early warning module.

6. The vegetation restoration status tracking system based on image acquisition according to claim 5, characterized in that: The state parameter of the corresponding relationship between the plant growth height and the plant green leaf area ratio in the i-th grid area Obtained by the following formula: In the above formula, is the ratio function of plant growth height and plant green leaf area ratio, is the curve of the ratio of plant growth height and plant green leaf area ratio over time in the i-th grid area, that is, The standard change curve of the ratio of plant growth height and plant green leaf area ratio in the i-th grid area, is the weight coefficient of the plant growth height and the proportion of the plant green leaf area corresponding to the jth shooting cycle.

7. The vegetation restoration status tracking system based on image acquisition according to claim 5, characterized in that: The consistency analysis process includes: The consistency parameter of the i-th grid area is calculated by the following formula: Where n is the number of grid areas. Substituting equation (3) into equation (5) to calculate the consistency parameter of the i-th grid area, the consistency parameter of the i-th grid area is Compared with the set threshold, if the consistency parameter of the i-th grid area If it is greater than the set threshold, an early warning will be issued immediately through the status early warning module.

8. The vegetation restoration status tracking system based on image acquisition according to claim 1, characterized in that: The system also includes a data output module, which is used to display the processed vegetation restoration status data to the user in a visual form so that the user can intuitively understand the vegetation restoration situation. At the same time, the data output module also has a data sharing function, which can upload the data to the cloud database for sharing and use by other users or institutions.

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