Tree health diagnosis and analysis method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of tree analysis, in particular to a tree health diagnosis and analysis method and device, computer equipment and a storage medium, and the tree health diagnosis and analysis method comprises the steps: obtaining tree internal data and tree root system data, generating fault portrait data according to the tree internal data, generating a tree root system image according to the tree root system data; performing integrity verification on the fault portrait data and the tree root system image to obtain a corresponding data verification result; when the data verification result is that the integrity verification is passed, generating a data fusion instruction according to the fault portrait data and the tree root system image, and obtaining to-be-detected tree data; and performing health analysis on the to-be-detected tree data to obtain a corresponding tree health analysis result. The tree health assessment method has the effect of comprehensively performing comprehensive health assessment on trees.

Description

Technical Field

[0001] The present invention relates to the technical field of tree analysis, and in particular to a tree health diagnosis and analysis method, device, computer equipment and storage medium. Background Art

[0002] At present, in the field of tree health assessment, the main detection method currently used is a single detection method that combines manual inspection with professional equipment. For example, commonly used technologies include PICUS elastic wave tree tomography diagnostic system and TRU root detection image technology. These technologies can detect the internal structure and root condition of trees respectively, thereby providing certain data support for tree health assessment. However, these methods still have limitations in application, mainly in terms of the comprehensiveness of the assessment and the accuracy of the data.

[0003] There are some tree health monitoring systems on the market, which mainly rely on single elastic wave detection or root system image detection technology to assess the health of trees. Although these technologies can reflect certain aspects of tree health information, due to the singleness of the technical means, they cannot comprehensively and accurately assess the overall health of trees.

[0004] The above-mentioned prior art solutions have the following defects: Because they use a single technical approach, these systems find it difficult to simultaneously focus on the internal structure and root condition of trees, and thus are unable to provide a comprehensive tree health assessment. Summary of the invention

[0005] In order to be able to conduct a comprehensive and all-round health assessment for trees, the present application provides a tree health diagnosis and analysis method, apparatus, computer equipment and storage medium.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A tree health diagnosis and analysis method, the tree health diagnosis and analysis method comprising: Acquire tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system image according to the tree root system data; Performing integrity check on the tomographic image data and the tree root system image to obtain corresponding data verification results; When the data verification result is that the integrity verification is passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected; Perform health analysis on the tree data to be detected to obtain corresponding tree health analysis results.

[0007] By adopting the above technical solution, when diagnosing and analyzing the health of trees, after obtaining the tree root data and tomographic image data, that is, obtaining the internal structure of the data and the root condition, an integrity check is first performed, so that when performing data analysis, the health of the trees can be analyzed more completely and comprehensively. Furthermore, before specifically analyzing the health of the data, the two different formats of data, the tomographic portrait data and the tree root image data, are fused, so that the data of the trees to be tested can be combined with the data obtained by the two technical tests for unified analysis, thereby achieving simultaneous attention to the internal structure and root condition of the trees, so that the health of the trees can be analyzed and evaluated more comprehensively.

[0008] In a preferred example, the present application can be further configured as follows: the integrity check of the tomographic image data and the tree root system image is performed to obtain the corresponding data check result, specifically including: Obtaining a tree image timestamp and a tree image acquisition position of the tomographic image data, and obtaining a root system image timestamp and a root system image acquisition position of the tree root system image; Performing a time check on the tree image timestamp and the root system image timestamp to obtain a time check result, and performing a position check on the tree image acquisition position and the root system image acquisition position to obtain the position check result; When both the time verification result and the position verification result are passed, the integrity verification is performed to obtain the data verification result.

[0009] By adopting the above technical solution, by verifying the timestamp and position, the tomographic image data and the tree root system image can be kept consistent in time and space, which makes it easier to perform data fusion and analyze the health of the trees after subsequent integrity verification.

[0010] In a preferred example, the present application may be further configured as follows: when both the time verification result and the position verification result are passed, the integrity verification is performed to obtain the data verification result, specifically including: Calculate the hash values ​​of the tomographic image data and the tree root system image before and after the integrity check respectively to obtain a first tomographic hash value, a second tomographic hash value, a first root system hash value, and a second root system hash value; Performing the integrity check on the first fault hash value and the second fault hash value to obtain a first data verification result, and performing the integrity check on the first root system hash value and the second root system hash value to obtain a second data verification result; The data verification result is generated according to the first data verification result and the second data verification result.

[0011] By adopting the above technical solution, the first fault hash value and the first root hash value are calculated before the integrity check, and the second fault hash value and the second root hash value are calculated after the data is transmitted. Therefore, it is possible to verify whether there is any loss during the data transmission process by comparing the hash values ​​after the data is transmitted, thereby improving the integrity of the data.

[0012] In a preferred example, the present application can be further configured as follows: when the data verification result is that the integrity verification is passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected, specifically including: Identifying fault feature data from the fault image data, and identifying root feature data from the tree root system image; A data fusion instruction is triggered according to the fault characteristic data and the root system characteristic data to obtain the data to be detected.

[0013] By adopting the above technical solution, the corresponding feature data can be identified during the data fusion process, so that the key information of the internal conditions of the tree and the root system image can be secondary, which can make the acquired data to be tested more complete, thereby improving the comprehensiveness of tree health diagnosis.

[0014] In a preferred example, the present application may be further configured as follows: triggering a data fusion instruction according to the fault feature data and the root feature data to obtain the data to be detected specifically includes: Acquire a tree diagnosis model, and acquire the correlation between the slice image data and the tree root system image from the tree diagnosis model; The fault feature data and the root feature data are fused into the tree diagnosis model according to the association relationship to obtain the data to be detected.

[0015] By adopting the above technical solution, by obtaining the pre-set association relationship and constructing the tree diagnosis model, the characteristic data can be integrated into a unified diagnosis model, thereby solving the problem of being unable to perform health diagnosis at the same time due to different data formats, thereby improving the efficiency and comprehensiveness of tree health diagnosis.

[0016] The second object of the invention is achieved by the following technical solutions: A tree health diagnosis and analysis device, the tree health diagnosis and analysis device comprising: A data acquisition module, used to obtain tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system images according to the tree root system data; An integrity check module is used to perform integrity check on the tomographic image data and the tree root system image to obtain corresponding data check results; A data fusion module, for generating a data fusion instruction according to the tomographic image data and the tree root system image to obtain the tree data to be detected when the data verification result is that the integrity verification has passed; The health analysis module is used to perform health analysis on the tree data to be detected to obtain corresponding tree health analysis results.

[0017] By adopting the above technical solution, when diagnosing and analyzing the health of trees, after obtaining the tree root data and tomographic image data, that is, obtaining the internal structure of the data and the root condition, an integrity check is first performed, so that when performing data analysis, the health of the trees can be analyzed more completely and comprehensively. Furthermore, before specifically analyzing the health of the data, the two different formats of data, the tomographic portrait data and the tree root image data, are fused, so that the data of the trees to be tested can be combined with the data obtained by the two technical tests for unified analysis, thereby achieving simultaneous attention to the internal structure and root condition of the trees, so that the health of the trees can be analyzed and evaluated more comprehensively.

[0018] The third objective of the present application is achieved through the following technical solutions: A computer device comprises 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 tree health diagnosis and analysis method when executing the computer program.

[0019] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the tree health diagnosis and analysis method are implemented.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: 1. When diagnosing and analyzing the health of trees, after obtaining the tree root system data and fault image data, that is, obtaining the internal structure of the data and the root system status, an integrity check is first performed, so that the health status of the trees can be analyzed more completely and comprehensively during data analysis; 2. Before analyzing the data health in detail, the two different formats of data, namely, the tomographic image data and the tree root system image data, are fused. The obtained tree data to be tested can be analyzed in a unified manner by combining the data obtained by the two technical tests, thereby achieving simultaneous attention to the internal structure and root system of the tree, so as to analyze and evaluate the tree health in a more comprehensive manner; 3. Calculate the first fault hash value and the first root hash value before integrity verification, and calculate the second fault hash value and the second root hash value after data transmission, so that it is possible to verify whether there is loss during the data transmission process by comparing the hash values ​​after data transmission, thereby improving data integrity; 4. By obtaining the pre-set association relationship and constructing the tree diagnosis model, the characteristic data can be integrated into a unified diagnosis model, thereby solving the problem of being unable to perform health diagnosis at the same time due to different data formats, thereby improving the efficiency and comprehensiveness of tree health diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flow chart of a tree health diagnosis and analysis method in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S20 of the tree health diagnosis and analysis method in one embodiment of the present application; Figure 3 This is a flowchart for implementing step S23 of the tree health diagnosis and analysis method in one embodiment of the present application; Figure 4 This is a flowchart for implementing step S30 of the tree health diagnosis and analysis method in one embodiment of the present application; Figure 5 is a flowchart for implementing step S32 of the method for tree health diagnosis and analysis in one embodiment of the present application; Figure 6 This is a principle block diagram of a tree health diagnosis and analysis system in one embodiment of the present application; Figure 7 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The present application is further described in detail below in conjunction with the accompanying drawings.

[0023] In one embodiment, if Figure 1 As shown, the present application discloses a tree health diagnosis and analysis method, which specifically includes the following steps: S10: Acquire tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate a tree root system image according to the tree root system data.

[0024] In this embodiment, the tree internal data refers to data used to record the internal conditions of the trunk of the detected tree. The tree root system data refers to data used to record the root conditions of the detected tree.

[0025] Specifically, the trees are processed by tomographic imaging using PICUS elastic wave technology to obtain corresponding elastic wave data inside the trees as the internal data of the trees, and the root conditions of the trees are detected using TRU root detection technology to obtain the root data of the trees.

[0026] Furthermore, the tree internal data and tree root data are converted into tomographic image data and tree root images using PICUS elastic wave technology and TRU root detection technology.

[0027] S20: Perform integrity check on the tomographic image data and the tree root system image to obtain corresponding data verification results.

[0028] Specifically, after receiving the tomographic image data and tree root system image transmitted from the front end, the tomographic image data and the tree root system image are integrity checked to check whether the data is lost during the data transmission process, so as to obtain the data verification result after the verification is completed.

[0029] S30: When the data verification result is that the integrity verification has passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected.

[0030] Specifically, after the integrity check is passed, that is, the data verification result is integrity check passed, it means that the transmitted tomographic image data and tree root system image are complete. Then, a data fusion instruction is generated according to the tomographic image data and the tree root system image, so as to fuse and unify the two data in different formats, so that the acquired data to be tested can contain more comprehensive data types, which is convenient for subsequent health analysis.

[0031] S40: Perform health analysis on the tree data to be detected to obtain corresponding tree health analysis results.

[0032] Specifically, a corresponding health analysis model is trained in advance according to different tree species, planting environments, breeding requirements, etc. After the data of the trees to be detected is obtained, the data of the trees to be detected is input into the health analysis model, and then the data health analysis results are output from the health analysis model.

[0033] In this embodiment, when diagnosing and analyzing the health of trees, after obtaining the tree root data and tomographic image data, that is, obtaining the internal structure of the data and the root condition, an integrity check is first performed, so that when performing data analysis, the health of the trees can be analyzed more completely and comprehensively. Furthermore, before specifically analyzing the health of the data, the two different formats of data, the tomographic portrait data and the tree root image data, are fused, so that the tree data to be detected can be combined with the data obtained by the two technical detections for unified analysis, thereby achieving simultaneous attention to the internal structure and root condition of the tree, so that the tree health can be analyzed and evaluated more comprehensively.

[0034] In one embodiment, if Figure 2 As shown, in step S20, integrity check is performed on the tomographic image data and the tree root system image to obtain corresponding data verification results, which specifically include: S21: Acquire the tree image timestamp and tree image acquisition position of the tomographic image data, and acquire the root system image timestamp and root system image acquisition position of the tree root system image.

[0035] In this embodiment, the tree image timestamp refers to the time when the tree internal data is acquired. The tree image acquisition position refers to the position when the tree internal data is acquired. The root system image timestamp refers to the time when the tree root system image is acquired. The root system image acquisition position refers to the position when the tree root system image is acquired.

[0036] Specifically, each time the front-end data acquisition device collects the corresponding tree internal data and tree root data, it obtains the data acquisition time and GPS location as the tree image timestamp and tree image acquisition location of the tree internal data, as well as the root image timestamp and root image acquisition location of the tree root image.

[0037] S22: Perform time verification on the tree image timestamp and the root system image timestamp to obtain a time verification result, and perform position verification on the tree image acquisition position and the root system image acquisition position to obtain a position verification result.

[0038] Specifically, the tree image acquisition position and the root image acquisition position are first position-verified to obtain a position verification result to determine whether the tree internal data and the tree root data correspond to the same tree. Further, the tree image timestamp and the root image timestamp are time-verified to obtain a time verification result to determine whether the time of acquisition of the tomographic image data and the tree root image is consistent.

[0039] S23: When both the time verification result and the position verification result are passed, an integrity check is performed to obtain a data verification result.

[0040] Specifically, when both the time verification result and the position verification result are passed, it means that the acquired tree root system data and the tomographic image data are data of the same tree acquired at the same time. Further, an integrity check is performed to obtain the corresponding data verification result.

[0041] In one embodiment, if Figure 3 As shown, in step S23, when both the time verification result and the position verification result are passed, an integrity check is performed to obtain a data verification result, which specifically includes: S231: Calculate the hash values ​​of the tomographic image data and the tree root system image before and after the integrity check respectively to obtain the first tomographic hash value, the second tomographic hash value, the first root system hash value and the second root system hash value.

[0042] Specifically, before the front-end data is transmitted, that is, before the integrity check, the tree image timestamp and the tree image acquisition position of the tomographic picture data are combined, and the hash value is calculated using the hash algorithm to obtain a first tomographic hash value; during the integrity check, the transmitted tomographic picture data and the tree image timestamp and the tree image acquisition position are combined, and the hash value is calculated using the hash algorithm to obtain a second tomographic hash value; similarly, before the front-end data is transmitted, that is, before the integrity check, the root image timestamp and the root image acquisition position of the tree root image are combined, and the hash value is calculated using the hash algorithm to obtain a first root hash value; during the integrity check, the transmitted tree root image and the root image timestamp and the root image acquisition position are combined, and the hash value is calculated using the hash algorithm to obtain a second root hash value.

[0043] S232: Perform integrity check on the first fault hash value and the second fault hash value to obtain a first data verification result, and perform integrity check on the first root system hash value and the second root system hash value to obtain a second data verification result.

[0044] Specifically, since the first fault hash value, the second fault hash value, the first root hash value and the second root hash value all contain corresponding timestamps and acquisition locations, when performing an integrity check, the first fault hash value and the second fault hash value are checked for integrity to obtain a first data verification result, and the first root hash value and the second root hash value are checked for integrity to obtain a second data verification result. This allows the first data verification result and the second data verification result to be used to determine whether the data obtained before and after data transmission is complete and whether the data is consistent, which facilitates subsequent analysis and processing.

[0045] S233: Generate a data verification result according to the first data verification result and the second data verification result.

[0046] Specifically, after the first data verification result and the second data verification result are obtained, the data verification result is formed, and the data verification result is passed only when both the first data verification result and the second data verification result are passed, otherwise the corresponding data is re-acquired.

[0047] In one embodiment, if Figure 4 As shown, in step S30, when the data verification result is that the integrity verification is passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected, which specifically includes: S31: Identify fault feature data from the fault image data, and identify root feature data from the tree root system image.

[0048] In this embodiment, the fault characteristic data refers to the characteristic data recording the key information of the tree internal data. The root characteristic data refers to the characteristic data recording the key information of the tree root data.

[0049] Specifically, the key data types recorded during health diagnosis are obtained from the historical tomographic image data and tree root system data, and the corresponding tomographic image features and root system image features are statistically analyzed. Furthermore, the initial model is trained by the statistically obtained tomographic image features and root system image features, respectively, to obtain models for extracting feature points from tomographic image data and tree root system image data.

[0050] Furthermore, the model obtained through the training identifies fault feature data from fault image data, and identifies root feature data from tree root images.

[0051] S32: triggering a data fusion instruction according to the fault characteristic data and the root system characteristic data to obtain the data to be detected.

[0052] Specifically, a data fusion instruction is triggered according to the fault characteristic data and the root system characteristic data to fuse the data in two different formats into data in a consistent format, namely, the data to be detected.

[0053] In one embodiment, if Figure 5 As shown, in step S32, the data fusion instruction is triggered according to the fault characteristic data and the root characteristic data to obtain the data to be detected, which specifically includes: S321: Acquire a tree diagnosis model, and acquire the correlation between the slice image data and the tree root system image from the tree diagnosis model.

[0054] In this embodiment, the tree diagnosis model refers to a blank three-dimensional model used for data fusion.

[0055] Specifically, according to different trees to be detected, a tree three-dimensional model of a corresponding shape is constructed as the tree diagnosis model. Further, according to the current tree to be detected, the corresponding tree diagnosis model is obtained, and the correlation correspondence between the pre-set tomographic image data and the tree root system image and the tree diagnosis model is obtained, such as the position of each characteristic value displayed in the tree diagnosis model.

[0056] S322: According to the association relationship, the fault feature data and the root feature data are integrated into the tree diagnosis model to obtain the data to be detected.

[0057] Specifically, according to the associated correspondence, the fault feature data and the root feature data are fused and displayed in the tree diagnosis model to obtain the data to be detected, so that in the process of tree health diagnosis, the corresponding feature points can be identified from the three-dimensional model corresponding to the data to be detected, which is convenient for automatic analysis and diagnosis by artificial intelligence.

[0058] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0059] In one embodiment, a tree health diagnosis and analysis device is provided, and the tree health diagnosis and analysis device corresponds one-to-one to the tree health diagnosis and analysis method in the above embodiment. Figure 6 As shown, the tree health diagnosis and analysis device includes a data acquisition module, an integrity check module, a data fusion module and a health analysis module. The detailed description of each functional module is as follows: A data acquisition module is used to obtain tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system images according to the tree root system data; The integrity check module is used to check the integrity of the tomographic image data and the tree root system image to obtain the corresponding data verification results; The data fusion module is used to generate data fusion instructions according to the tomographic image data and the tree root system image to obtain the data of the tree to be detected when the data verification result is that the integrity verification has passed; The health analysis module is used to perform health analysis on the tree data to be tested and obtain the corresponding tree health analysis results.

[0060] Optionally, the integrity check module includes: The acquisition information acquisition submodule is used to obtain the tree image timestamp and tree image acquisition position of the tomographic image data, and to obtain the root system image timestamp and root system image acquisition position of the tree root system image; The information verification submodule is used to perform time verification on the tree image timestamp and the root system image timestamp to obtain a time verification result, and to perform position verification on the tree image acquisition position and the root system image acquisition position to obtain a position verification result; The integrity check submodule is used to perform integrity check to obtain data verification results when both the time verification result and the position verification result are passed.

[0061] Optionally, the integrity check submodule includes: A hash calculation unit, used to calculate the hash values ​​of the tomographic image data and the tree root system image before and after the integrity check, respectively, to obtain a first tomographic hash value, a second tomographic hash value, a first root system hash value, and a second root system hash value; A hash value verification unit, configured to perform integrity verification on the first fault hash value and the second fault hash value to obtain a first data verification result, and perform integrity verification on the first root system hash value and the second root system hash value to obtain a second data verification result; The data collection unit is used to generate a data verification result according to the first data verification result and the second data verification result.

[0062] Optionally, the data fusion module includes: A feature extraction submodule is used to identify fault feature data from fault image data and identify root feature data from tree root images; The data fusion submodule is used to trigger the data fusion instruction according to the fault characteristic data and the root system characteristic data to obtain the data to be detected.

[0063] Optionally, the data fusion submodule includes: A blank model acquisition unit, used to acquire a tree diagnosis model, and to acquire the correlation between the slice image data and the tree root system image from the tree diagnosis model; The data fusion unit is used to fuse the fault characteristic data and the root characteristic data into the tree diagnosis model according to the association relationship to obtain the data to be detected.

[0064] The specific definition of the tree health diagnosis and analysis device can be found in the definition of the tree health diagnosis and analysis method above, and will not be repeated here. Each module in the above-mentioned tree health diagnosis and analysis device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0065] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a tree health diagnosis and analysis method is implemented.

[0066] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Acquire tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system images according to the tree root system data; Perform integrity check on the fault image data and tree root system images to obtain corresponding data verification results; When the data verification result is that the integrity verification has passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the data of the tree to be detected; Perform health analysis on the tree data to be tested and obtain the corresponding tree health analysis results.

[0067] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Acquire tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system images according to the tree root system data; Perform integrity check on the fault image data and tree root system images to obtain corresponding data verification results; When the data verification result is that the integrity verification has passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the data of the tree to be detected; Perform health analysis on the tree data to be tested and obtain the corresponding tree health analysis results.

[0068] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0069] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0070] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A tree health diagnosis and analysis method, characterized in that: The tree health diagnosis and analysis method comprises: Acquire tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system image according to the tree root system data; Performing integrity check on the tomographic image data and the tree root system image to obtain corresponding data verification results; When the data verification result is that the integrity verification is passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected; Perform health analysis on the tree data to be detected to obtain corresponding tree health analysis results.

2. The tree health diagnosis and analysis method according to claim 1, characterized in that: The integrity check of the tomographic image data and the tree root system image is performed to obtain the corresponding data check result, specifically including: Obtaining a tree image timestamp and a tree image acquisition position of the tomographic image data, and obtaining a root system image timestamp and a root system image acquisition position of the tree root system image; Performing a time check on the tree image timestamp and the root system image timestamp to obtain a time check result, and performing a position check on the tree image acquisition position and the root system image acquisition position to obtain the position check result; When both the time verification result and the position verification result are passed, the integrity verification is performed to obtain the data verification result.

3. The tree health diagnosis and analysis method according to claim 2, characterized in that: When both the time check result and the position check result are passed, performing the integrity check to obtain the data check result specifically includes: Calculate the hash values ​​of the tomographic image data and the tree root system image before and after the integrity check respectively to obtain a first tomographic hash value, a second tomographic hash value, a first root system hash value, and a second root system hash value; Performing the integrity check on the first fault hash value and the second fault hash value to obtain a first data verification result, and performing the integrity check on the first root system hash value and the second root system hash value to obtain a second data verification result; The data verification result is generated according to the first data verification result and the second data verification result.

4. The tree health diagnosis and analysis method according to claim 1, characterized in that: When the data verification result is that the integrity verification has passed, a data fusion instruction is generated according to the tomographic image data and the tree root system image to obtain the tree data to be detected, specifically including: Identifying fault feature data from the fault image data, and identifying root feature data from the tree root system image; A data fusion instruction is triggered according to the fault characteristic data and the root system characteristic data to obtain the data to be detected.

5. The tree health diagnosis and analysis method according to claim 3, characterized in that: The triggering of the data fusion instruction according to the fault characteristic data and the root system characteristic data to obtain the data to be detected specifically includes: Acquire a tree diagnosis model, and acquire the correlation between the slice image data and the tree root system image from the tree diagnosis model; The fault feature data and the root feature data are fused into the tree diagnosis model according to the association relationship to obtain the data to be detected.

6. A tree health diagnosis and analysis device, characterized in that: The tree health diagnosis and analysis device comprises: A data acquisition module, used to obtain tree internal data and tree root system data, generate fault image data according to the tree internal data, and generate tree root system images according to the tree root system data; An integrity check module is used to perform integrity check on the tomographic image data and the tree root system image to obtain corresponding data check results; A data fusion module, for generating a data fusion instruction according to the tomographic image data and the tree root system image to obtain the tree data to be detected when the data verification result is that the integrity verification has passed; The health analysis module is used to perform health analysis on the tree data to be detected to obtain corresponding tree health analysis results.

7. The tree health diagnosis and analysis device according to claim 6, characterized in that: The integrity check module comprises: An acquisition information acquisition submodule, used to acquire a tree image timestamp and a tree image acquisition position of the tomographic image data, and to acquire a root system image timestamp and a root system image acquisition position of the tree root system image; An information verification submodule is used to perform time verification on the tree image timestamp and the root system image timestamp to obtain a time verification result, and to perform position verification on the tree image acquisition position and the root system image acquisition position to obtain the position verification result; The integrity check submodule is used to perform the integrity check to obtain the data check result when the time check result and the position check result are both passed.

8. The tree health diagnosis and analysis device according to claim 7, characterized in that: The integrity check submodule comprises: A hash calculation unit, used to calculate the hash values ​​of the tomographic image data and the tree root system image before and after the integrity check, respectively, to obtain a first tomographic hash value, a second tomographic hash value, a first root system hash value, and a second root system hash value; A hash value verification unit, configured to perform the integrity verification on the first fault hash value and the second fault hash value to obtain a first data verification result, and perform the integrity verification on the first root system hash value and the second root system hash value to obtain a second data verification result; A data collection unit is used to generate the data verification result according to the first data verification result and the second data verification result.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the tree health diagnosis and analysis method according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the tree health diagnosis and analysis method according to any one of claims 1 to 5 are implemented.

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