Biodiversity monitoring method, system and device based on unmanned platform

Abstract

The invention provides a biodiversity monitoring method based on an unmanned platform, and the method comprises the following steps: carrying out the rapid and comprehensive scanning and monitoring of a to-be-restored environment region based on a multispectral monitoring data system on an unmanned plane, calculating the aquatic vegetation coverage rate of the to-be-restored environment region, and carrying out the rough classification of the types of aquatic plants; rapidly reaching a water area in a to-be-repaired environment through the unmanned ship, monitoring basic parameters of the water area and collecting a water body sample; scanning all aquatic plants in a water area in a to-be-repaired environment through an underwater laser scanner on the unmanned ship to obtain laser scanning imaging data, and establishing a regional plant exclusive database according to a coarse classification result, a collected water body sample analysis result and the imaging data to realize digital preservation of plant data; by calculating the aquatic vegetation coverage rate of the environmental area to be restored, and combining the rough classification result of the aquatic plant type, the analysis result of the collected water body sample and the imaging data obtained by scanning, the accuracy of the monitoring result can be ensured to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of biological environment monitoring, and in particular to a method, system and device for monitoring biodiversity based on an unmanned platform. Background Art

[0002] One of the main difficulties in current environmental restoration is that subsequent monitoring and maintenance are time-consuming and labor-intensive, and consume a huge amount of project funds.

[0003] In view of this, it is necessary to provide a new type of biodiversity monitoring method, system and device based on an unmanned platform to overcome the above-mentioned defects. Summary of the invention

[0004] The purpose of the present invention is to provide a biodiversity monitoring method, system and device based on an unmanned platform. The method combines unmanned aerial vehicle multispectral monitoring technology, unmanned ship automatic monitoring sampling technology and unmanned ship lidar scanning technology to achieve fast and accurate biodiversity monitoring.

[0005] In order to achieve the above object, the technical solution provided by the present invention is as follows: a biodiversity monitoring method based on an unmanned platform, comprising the following steps:

[0006] S1. Based on the multi-spectral monitoring data system on the drone, quickly and comprehensively scan and monitor the environmental area to be restored, calculate the aquatic vegetation coverage rate in the environmental area to be restored, and roughly classify the aquatic plant types;

[0007] S2. Use unmanned boats to quickly reach the waters in the environment to be restored, monitor the basic parameters of the waters and collect water samples;

[0008] S3. Use the underwater laser scanner on the unmanned boat to scan all aquatic plants in the water area to be restored to obtain laser scanning imaging data. According to the rough classification results, the analysis results of the collected water samples and the imaging data, a regional plant-specific database is established to realize the digital preservation of plant data.

[0009] Preferably, step S1 further includes S11, collecting images of aquatic plants in the environmental area to be restored under natural lighting conditions based on a multispectral monitoring data system on the drone;

[0010] S12, extracting image feature parameters of aquatic plant images through a multispectral monitoring data system on the UAV;

[0011] S13. Use the aquatic plant image and image feature parameters to establish a data model, classify the aquatic plants contained in the aquatic plant image through the data model, and calculate the aquatic vegetation coverage rate of the environmental area to be restored.

[0012] Preferably, step S2 further includes step S21: when the unmanned boat quickly reaches the water area in the environment to be repaired, the water quality monitoring device on the unmanned boat starts to monitor the basic parameters of the water area, and uploads the basic parameters to the display terminal of the upper computer of the monitoring system for display;

[0013] S22. Use the water pump on the unmanned boat to pump water samples into the water tank on the unmanned boat, complete the collection of water samples in the water area, and analyze the water quality based on the water samples.

[0014] Preferably, the underwater laser scanner scans the detected area and uploads the scanned imaging data to the host computer of the monitoring system for storage, so as to facilitate display on the display terminal of the host computer. The host computer classifies the aquatic plants contained in the aquatic plant image in combination with the data model, the water quality analysis results, and the scanned imaging data, and establishes a regional plant-specific database in the host computer of the monitoring system to realize the digital preservation of plant data.

[0015] A biodiversity monitoring system based on an unmanned platform, comprising:

[0016] A drone, wherein the drone is provided with a multispectral monitoring data system, through which the multispectral monitoring data system is used to quickly and comprehensively scan and monitor the environmental area to be restored, calculate the aquatic vegetation coverage rate of the environmental area to be restored, and roughly classify the aquatic plant types;

[0017] The unmanned boat is provided with a water quality monitoring device, which starts to monitor basic parameters of the water area through the water quality monitoring device, and uploads the basic parameters to a display terminal of a host computer of the monitoring system for display;

[0018] The unmanned boat also has an underwater laser scanner, which scans all aquatic plants in the water area of ​​the restoration environment to obtain laser scanning imaging data;

[0019] Based on the coarse classification results, analysis results of collected water samples and imaging data, a regional plant-specific database is established in the host computer of the monitoring system to achieve digital preservation of plant data.

[0020] Preferably, the unmanned boat is also provided with a water pump, through which water samples are sucked.

[0021] Preferably, the unmanned boat also has a water tank, and water samples are pumped into the water tank for storage by a water pump.

[0022] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the unmanned platform-based biodiversity monitoring method are implemented.

[0023] A non-transitory computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the unmanned platform-based biodiversity monitoring method.

[0024] A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the steps of the unmanned platform-based biodiversity monitoring method are implemented.

[0025] Compared with the existing technology, the beneficial effect lies in that the classification results of aquatic plants contained in the aquatic plant images, the water quality analysis results, and the imaging data obtained by scanning are used to establish a regional plant-specific database in the host computer of the monitoring system to realize the digital preservation of plant data. By calculating the aquatic vegetation coverage rate of the environmental area to be restored as mentioned above, and combining the rough classification results of aquatic plant types, the analysis results of water samples collected, and the imaging data obtained by scanning, the accuracy of the monitoring results can be guaranteed to the maximum extent, which is conducive to accurate restoration of the environment.

[0026] Other features and advantages of the present invention will be set forth in the following description, and part will be apparent from the description, or can be understood by implementation of the present invention. Features and advantages of the present invention can be realized and obtained by the elements and combinations specifically pointed out in the appended application scope. These and other features of the present invention will become more clearly understood according to the following description and the appended claims, or can be understood by the implementation of the embodiments described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 This is a flow chart of the biodiversity monitoring method based on an unmanned platform provided by the present invention.

[0029] Figure 2 This is a multi-spectral image scanned by the multi-spectral monitoring data system.

[0030] Figure 3 This is the laser scanning image obtained by scanning with an underwater laser scanner. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and beneficial technical effect of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that the specific implementation methods described in this specification are only for explaining the present invention, not for limiting the present invention.

[0032] It should be understood that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the 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 cannot be understood as a limitation on the present invention.

[0033] It should also be noted that, unless otherwise clearly specified and limited, the terms such as "install", "connect", "connect", "fix", "set" and the like 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. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be determined according to the specific circumstances.

[0034] In addition, the terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features. In addition, the meaning of "multiple" and "several" refers to two or more, unless otherwise clearly and specifically defined.

[0035] See also Figures 1 to 3 The present invention provides a biodiversity monitoring method based on an unmanned platform, the method comprising the following steps:

[0036] S1. The multispectral monitoring data system based on the UAV quickly and comprehensively scans and monitors the environmental area to be restored to generate a multispectral map, calculates the aquatic vegetation coverage rate of the environmental area to be restored, and roughly classifies the aquatic plant types.

[0037] Step S1 also includes S11, collecting images of aquatic plants in the environmental area to be restored under natural lighting conditions based on a multispectral monitoring data system on the drone;

[0038] S12, extracting image feature parameters of aquatic plant images through a multispectral monitoring data system on the UAV;

[0039] S13. Use the aquatic plant image and image feature parameters to establish a data model, classify the aquatic plants contained in the aquatic plant image through the data model, and calculate the aquatic vegetation coverage rate of the environmental area to be restored.

[0040] It should be noted that in this embodiment, the multispectral detection data system integrates 1 visible light camera and 5 multispectral cameras (blue light, green light, red light, red edge and near infrared), which are responsible for visible light imaging and multispectral imaging respectively. All multispectral cameras have 2 million pixel resolution and are equipped with global shutter. This excellent imaging system is installed on a three-axis gimbal, and the imaging is clear and stable. In addition to real-time generation of RGB images, NDVI analysis is performed simultaneously (the normalized vegetation index (NDVI) can characterize the land vegetation coverage and vegetation growth status, and is an important indicator for macroscopic monitoring of vegetation).

[0041] In environmental protection work, environmental monitoring is the most important basic and cutting-edge work in ecological and environmental protection, and it is also an important basic work for testing the effectiveness of the implementation of protection policies in the later stage. With the maturity and application of drone product technology, drones have great application advantages in the field of ecological and environmental monitoring due to their advantages of low-altitude flight, low cost, flexibility, and rapid response. They can quickly obtain spatial information such as geography, resources, and environment, complete data collection, processing, and application analysis, and have many advantages such as mobility, economy, and safety.

[0042] Specifically, it is also possible to plan routes based on drones, deploy drone airports, and achieve all-weather unmanned intelligent monitoring.

[0043] S2. Use unmanned boats to quickly reach the waters in the environment to be restored, monitor the basic parameters of the waters and collect water samples.

[0044] Step S2 also includes step S21: when the unmanned boat quickly reaches the water area in the environment to be repaired, the water quality monitoring device on the unmanned boat starts to monitor the basic parameters of the water area, and uploads the basic parameters to the display terminal of the upper computer of the monitoring system for display; wherein the basic parameters include temperature, solubility, pH value, conductivity, turbidity, etc.

[0045] S22. Use the water pump on the unmanned boat to pump water samples into a water tank (the capacity of the water tank is 20L) carried by the unmanned boat to complete the collection of water samples in the water area, and analyze the water quality based on the water samples.

[0046] Specifically, unmanned boats are used to quickly reach the waters in the predetermined environment to be restored, monitor basic water environment parameters and collect water samples for analysis and post-processing. Combined with environmental genomics technology, the composition of aquatic plant species in the monitored area can be fully reflected.

[0047] It should be noted that unmanned boats can complete regular or emergency water quality sampling tasks at a fixed time, fixed point, and quantitative level, and they have functions such as voice calling, photo taking, and video transmission. The embedded intelligent system on the hull of the unmanned boat can intelligently plan the cruise route for the unmanned boat and complete the real-time transmission and backup management of detection data. It also has autonomous navigation, automatic obstacle avoidance, and automatic return in the event of loss of connection or low battery, which can flexibly and flexibly realize large-scale water monitoring functions.

[0048] S3. Use an underwater laser scanner (ULS-200) on an unmanned boat to scan all aquatic plants in the waters to be restored to obtain laser scanning imaging data. According to the coarse classification results, the analysis results of the collected water samples and the imaging data, a regional plant-specific database is established to achieve digital preservation of plant data.

[0049] Specifically, the underwater laser scanner scans the detected area, and uploads the laser scanning imaging data of the scanned laser scanning imaging image to the host computer of the monitoring system for storage, so as to facilitate display on the display terminal of the host computer. The host computer classifies the aquatic plants contained in the aquatic plant image according to the data model, the water quality analysis results, and the laser scanning imaging data obtained by scanning, and establishes a regional plant-specific database in the host computer of the monitoring system to realize the digital preservation of plant data.

[0050] By calculating the aquatic vegetation coverage rate of the environmental area to be restored as mentioned above, and combining the rough classification results of aquatic plant types, the analysis results of water samples collected, and the imaging data obtained by scanning, the accuracy of the monitoring results can be guaranteed to the greatest extent.

[0051] Drones are equipped with high-definition cameras for image acquisition, which have the advantages of convenient operation, flexible flight, good stability, low cost, etc. They can cover a large area in a short time, making them very efficient in data collection. In addition, they can reach areas that are difficult for researchers to reach.

[0052] The present invention also provides a biodiversity monitoring system based on an unmanned platform, comprising:

[0053] A drone, wherein the drone is provided with a multispectral monitoring data system, through which the multispectral monitoring data system is used to quickly and comprehensively scan and monitor the environmental area to be restored, calculate the aquatic vegetation coverage rate of the environmental area to be restored, and roughly classify the aquatic plant types;

[0054] The unmanned boat is provided with a water quality monitoring device, which starts to monitor basic parameters of the water area through the water quality monitoring device, and uploads the basic parameters to a display terminal of a host computer of the monitoring system for display;

[0055] The unmanned boat also has an underwater laser scanner, which scans all aquatic plants in the water area of ​​the restoration environment to obtain laser scanning imaging data;

[0056] Based on the coarse classification results, analysis results of collected water samples and imaging data, a regional plant-specific database is established in the host computer of the monitoring system to achieve digital preservation of plant data.

[0057] In a preferred embodiment, the unmanned boat also has a water pump, through which water samples are sucked.

[0058] In a preferred embodiment, the unmanned boat also has a water tank, and the water sample is pumped into the water tank by a water pump for storage. It should be noted that in this embodiment, the capacity of the water tank can be 20L.

[0059] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the unmanned platform-based biodiversity monitoring method when executing the program.

[0060] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the unmanned platform-based biodiversity monitoring method.

[0061] A computer program product includes a computer program, wherein when the computer program is executed by a processor, the steps of the unmanned platform-based biodiversity monitoring method are implemented.

[0062] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0063] In particular, according to some embodiments of the present disclosure, the process described above can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processing device, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0064] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a mission data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated mission data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0065] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital task data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0066] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: in response to detecting a query operation on a production collaboration document in a switch production line management application, determines the network connection status of the switch production line management application; in response to determining that the network connection status of the switch production line management application represents an offline state, replaces the web page entry information corresponding to the production collaboration document with target entry file information, and loads target web page resource information to display the web page of the production collaboration document offline in the switch production line management application, wherein the target entry file information is file information of a pre-downloaded entry file corresponding to the web page of the production collaboration document, and the target web page resource information is locally stored resource information corresponding to the web page; in response to determining that the network connection status of the switch production line management application represents an online state, and the web page resource information corresponding to the production collaboration document is not stored locally, downloads the web page resource information of the web page from the production line document server, wherein the web page resource information includes an entry file and resource information; according to the web page resource information, displays the web page of the production collaboration document in the switch production line management application, and stores the web page resource information in a local database.

[0067] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including product-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0068] The present invention is not limited to what is described in the specification and implementation modes, and therefore additional advantages and modifications can be easily realized by those skilled in the art. Therefore, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details, representative devices, and illustrative examples shown and described herein.

Claims

1. A biodiversity monitoring method based on an unmanned platform, It is characterized in that The following steps are involved: S1. Based on the multi-spectral monitoring data system on the drone, quickly and comprehensively scan and monitor the environmental area to be restored, calculate the aquatic vegetation coverage rate in the environmental area to be restored, and roughly classify the aquatic plant types; S2. Use unmanned boats to quickly reach the waters in the environment to be restored, monitor the basic parameters of the waters and collect water samples; S3. Use the underwater laser scanner on the unmanned boat to scan all aquatic plants in the water area to be restored to obtain laser scanning imaging data. According to the rough classification results, the analysis results of the collected water samples and the imaging data, a regional plant-specific database is established to realize the digital preservation of plant data.

2. The biodiversity monitoring method based on an unmanned platform as claimed in claim 1, It is characterized in that Step S1 also includes S11, collecting images of aquatic plants in the environmental area to be restored under natural lighting conditions based on a multispectral monitoring data system on the drone; S12, extracting image feature parameters of aquatic plant images through a multispectral monitoring data system on the UAV; S13. Use the aquatic plant image and image feature parameters to establish a data model, classify the aquatic plants contained in the aquatic plant image through the data model, and calculate the aquatic vegetation coverage rate of the environmental area to be restored.

3. The biodiversity monitoring method based on an unmanned platform as claimed in claim 1, It is characterized in that Step S2 also includes step S21: when the unmanned boat quickly reaches the water area in the environment to be repaired, the water quality monitoring device on the unmanned boat starts to monitor the basic parameters of the water area, and uploads the basic parameters to the display terminal of the upper computer of the monitoring system for display; S22. Use the water pump on the unmanned boat to pump water samples into the water tank on the unmanned boat, complete the collection of water samples in the water area, and analyze the water quality based on the water samples.

4. The biodiversity monitoring method based on an unmanned platform as claimed in claim 1, It is characterized in that The underwater laser scanner scans the detected area and uploads the scanned imaging data to the host computer of the monitoring system for storage, so as to facilitate display on the display terminal of the host computer. The host computer classifies the aquatic plants contained in the aquatic plant image in combination with the data model, the water quality analysis results, and the scanned imaging data, and establishes a regional plant-specific database in the host computer of the monitoring system to realize the digital preservation of plant data.

5. A biodiversity monitoring system based on an unmanned platform, It is characterized in that include: A drone, wherein the drone is provided with a multispectral monitoring data system, through which the multispectral monitoring data system is used to quickly and comprehensively scan and monitor the environmental area to be restored, calculate the aquatic vegetation coverage rate of the environmental area to be restored, and roughly classify the aquatic plant types; The unmanned boat is provided with a water quality monitoring device, which starts to monitor basic parameters of the water area through the water quality monitoring device, and uploads the basic parameters to a display terminal of a host computer of the monitoring system for display; The unmanned boat also has an underwater laser scanner, which scans all aquatic plants in the water area of ​​the restoration environment to obtain laser scanning imaging data; Based on the coarse classification results, analysis results of collected water samples and imaging data, a regional plant-specific database is established in the host computer of the monitoring system to achieve digital preservation of plant data.

6. The biodiversity monitoring system based on an unmanned platform as claimed in claim 5, It is characterized in that The unmanned boat is also provided with a water pump, through which water samples are sucked.

7. The biodiversity monitoring system based on an unmanned platform as claimed in claim 5, It is characterized in that The unmanned boat also has a water tank, and water samples are pumped into the water tank by a water pump for storage.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the program, the steps of the biodiversity monitoring method based on an unmanned platform as described in any one of claims 1 to 4 are implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the steps of the unmanned platform-based biodiversity monitoring method according to any one of claims 1 to 4 are implemented.

10. A computer program product comprising a computer program, It is characterized in that When the computer program is executed by a processor, the steps of the unmanned platform-based biodiversity monitoring method according to any one of claims 1 to 4 are implemented.

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