A method and system for terrain evolution survey based on airborne electromagnetics

Abstract

The present invention is applicable to the field of topographic survey technology, and particularly relates to a method and system for terrain evolution survey based on airborne electromagnetics. The method comprises: demarcating a terrain evolution survey area and dividing it into several blocks; utilizing a preset aerial platform to collect airborne electromagnetic data within each block; deploying several monitoring devices within each block, creating a parent node, and uploading the airborne electromagnetic data to the parent node; attaching child nodes corresponding to the monitoring devices to the parent node; collecting raw data from each block via the monitoring devices, and uploading the raw data to the corresponding child nodes. By constructing a balanced tree, the present invention can eliminate the impact of human activities, equipment calibration, and data errors on airborne electromagnetic data, thereby improving data quality and accuracy, reducing misleading conclusions, and significantly enhancing the accuracy of terrain evolution surveys, thereby enabling the precise identification of terrain evolution and environmental issues.

Description

Technical Field

[0001] The present invention relates to the technical field of terrain survey, and in particular to a terrain evolution survey method and system based on airborne electromagnetics. Background Art

[0002] The use of airborne electromagnetics to survey terrain evolution means carrying electromagnetic detection equipment on an airplane or helicopter, transmitting electromagnetic waves into the ground, and receiving response signals from the surface or underground medium to obtain underground electrical structure information to assist in studying the changing process of terrain in different geological periods. This method can penetrate the surface cover layer and detect the electrical conductivity distribution of underground rock and soil, which helps to identify key elements of terrain evolution such as ancient river channels, faults, landslides and sediment boundaries.

[0003] Airborne electromagnetic detection data is similar to a "snapshot of the current situation" and needs to be coordinated with monitoring equipment to form a continuous and dynamic observation system for terrain evolution.

[0004] Therefore, “how to combine airborne electromagnetics with on-site monitoring equipment” is the technical problem that the present invention needs to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide a terrain evolution survey method and system based on airborne electromagnetics to solve the problem of "how to combine airborne electromagnetics with field monitoring equipment" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A terrain evolution survey method based on airborne electromagnetics, the method comprising:

[0008] Delineate a survey area for terrain evolution and divide it into several blocks. Utilize a pre-set aerial platform to collect airborne electromagnetic data within each block. Deploy several monitoring devices within each block, create a parent node, and upload the airborne electromagnetic data to the parent node.

[0009] Mount child nodes corresponding to monitoring devices to the parent node, collect raw data of each block through the monitoring device, upload the raw data to the corresponding child node, integrate the parent node and child nodes, and generate a balanced tree;

[0010] Configuring the fluctuation range of each child node, editing the evaluation rules of the original data, determining whether there is a risk feature in the balance tree, and if so, extracting a state snapshot from the balance tree and sending it to a preset terminal, querying a preset comparison table, and traversing the risk level corresponding to the risk feature, wherein the comparison table is composed of evaluation rule items and risk level items, tilting the balance tree according to the risk level, generating a verification instruction, and sending it to the aviation platform;

[0011] When the aviation platform receives the verification instruction, it re-collects the aviation electromagnetic data and verifies the risk characteristics. If the verification passes, the risk characteristics are sent to the preset terminal. If the verification fails, a balance factor is created, the risk characteristics are corrected, and the balance tree is reconstructed.

[0012] Furthermore, the steps of delineating the survey area for terrain evolution and dividing it into a plurality of blocks, and collecting airborne electromagnetic data in each block using a preset aerial platform include:

[0013] Establish the corresponding relationship between the balanced tree and the block, and define the block corresponding to the tilted balanced tree as the target block;

[0014] Set the boundary range of each block, select the test points, integrate the test points corresponding to the target block, generate the survey task, and send it to the preset terminal.

[0015] Furthermore, the steps of deploying a plurality of monitoring devices in each block, creating a parent node, and uploading the airborne electromagnetic data to the parent node include:

[0016] Configure the environmental data for each block and set the data transmission method of the monitoring equipment;

[0017] Build a relay network transmission architecture, select relay nodes, configure status data of each monitoring device, and forward the status data to the relay nodes.

[0018] Furthermore, the step of integrating the parent node and the child node to generate a balanced tree includes:

[0019] Establish a mapping between balanced trees and blocks, integrate the balanced trees corresponding to all blocks, generate a balanced forest, and embed an incremental transmission mechanism;

[0020] A survey report is generated based on the balanced forest and the status snapshot, and the survey report is sent to a preset terminal.

[0021] Furthermore, the step of tilting the balance tree according to the risk level, generating a verification instruction, and sending the verification instruction to the aviation platform includes:

[0022] Inserting a tilt angle item into the comparison table, and when the tilt angle is greater than a threshold, starting a preset treatment plan;

[0023] The position of the target block is located, and all positions are connected using a nearest neighbor algorithm to generate a survey route, which is integrated into the verification instruction.

[0024] Furthermore, the step of correcting the risk characteristics and reconstructing the balance tree includes:

[0025] Determine a time window for each balancing factor and dynamically update the balancing factor;

[0026] Within the time window, the state snapshot is versioned and a version chain is created.

[0027] Furthermore, the method further comprises:

[0028] Configure the weight value of each balance tree and calculate the risk coefficient of the survey area;

[0029] The risk factors are divided into several levels, and each level corresponds to an emergency response rule.

[0030] Furthermore, the system includes:

[0031] The upload module is used to delineate the survey area for terrain evolution and divide it into several blocks. Using a preset aerial platform, it collects airborne electromagnetic data in each block. In each block, it deploys several monitoring devices, creates a parent node, and uploads the airborne electromagnetic data to the parent node.

[0032] A generation module is used to mount child nodes corresponding to monitoring devices to the parent node, collect raw data of each block through the monitoring device, upload the raw data to the corresponding child node, integrate the parent node and the child node, and generate a balanced tree;

[0033] a sending module configured to configure a fluctuation range for each child node, edit evaluation rules for raw data, determine whether a risk feature exists in the balancing tree, and if so, extract a state snapshot from the balancing tree and send it to a preset terminal, query a preset comparison table, traverse the risk level corresponding to the risk feature, wherein the comparison table is composed of evaluation rule items and risk level items, tilt the balancing tree based on the risk level, generate a verification instruction, and send it to the aviation platform;

[0034] The reconstruction module is used to, when the aviation platform receives the verification instruction, re-collect the aviation electromagnetic data and verify the risk characteristics. If the verification passes, the risk characteristics are sent to the preset terminal. If the verification fails, a balance factor is created, the risk characteristics are corrected, and the balance tree is reconstructed.

[0035] Furthermore, the upload module includes:

[0036] A definition unit is used to establish a corresponding relationship between the balanced tree and the blocks, and define the blocks corresponding to the tilted balanced tree as target blocks;

[0037] The setting unit is used to set the boundary range of each block, select test points, integrate the test points corresponding to the target block, generate a survey task, and send it to the preset terminal;

[0038] A configuration unit is used to configure the environmental data of each block and set the data transmission mode of the monitoring equipment;

[0039] The forwarding unit is used to build a relay network transmission architecture, select a relay node, configure the status data of each monitoring device, and forward the status data to the relay node.

[0040] Furthermore, the generation module includes:

[0041] The embedding unit is used to establish a mapping between balanced trees and blocks, integrate the balanced trees corresponding to all blocks, generate a balanced forest, and embed the incremental transmission mechanism;

[0042] The sending unit is used to generate a survey report based on the balanced forest and the state snapshot, and send the survey report to a preset terminal.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] By dividing the survey area into several blocks, data management efficiency can be improved, making it easier to carry out airborne electromagnetic measurements and ground monitoring in a phased and focused manner, optimizing resource allocation. By deploying monitoring equipment, key areas can be continuously monitored, terrain changes can be captured in real time, and risk warning capabilities can be greatly improved. By constructing a balanced tree, the impact of human activities, equipment calibration, and data errors on airborne electromagnetic data can be eliminated, improving data quality and accuracy, reducing misleading conclusions, and greatly improving the accuracy of terrain evolution surveys, so as to accurately identify key elements and environmental issues in terrain evolution. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of a terrain evolution survey method based on airborne electromagnetics provided in an embodiment of the present invention;

[0046] Figure 2 A block diagram of the first sub-process of the method for terrain evolution survey based on airborne electromagnetics provided in an embodiment of the present invention;

[0047] Figure 3 A block diagram of a second sub-process of the method for terrain evolution survey based on airborne electromagnetics provided in an embodiment of the present invention;

[0048] Figure 4 A block diagram of a third sub-process of the method for terrain evolution survey based on airborne electromagnetics provided in an embodiment of the present invention;

[0049] Figure 5 A fourth sub-flow chart of the method for terrain evolution survey based on airborne electromagnetics provided in an embodiment of the present invention;

[0050] Figure 6 A block diagram of the composition of the terrain evolution survey system based on airborne electromagnetics provided in an embodiment of the present invention;

[0051] Figure 7 A block diagram of the upload module in the airborne electromagnetic terrain evolution survey system provided by an embodiment of the present invention;

[0052] Figure 8 A block diagram of the composition of a generation module in an airborne electromagnetic-based terrain evolution survey system provided in an embodiment of the present invention;

[0053] Figure 9 A block diagram of the components of a sending module in an airborne electromagnetic terrain evolution survey system provided by an embodiment of the present invention;

[0054] Figure 10 This is a block diagram of the composition of the reconstruction module in the airborne electromagnetic-based terrain evolution survey system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0056] In Example 1, Figure 1 The implementation process of the terrain evolution survey method based on airborne electromagnetics provided by an embodiment of the present invention is shown and described in detail below:

[0057] S100: Delineate a survey area for terrain evolution and divide it into several blocks. Utilize a preset aerial platform to collect airborne electromagnetic data within each block. Deploy several monitoring devices in each block, create a parent node, and upload the airborne electromagnetic data to the parent node.

[0058] Based on administrative divisions, natural boundaries (such as mountains and rivers), transportation conditions and surface cover types, the area where terrain evolution survey is required, namely the survey area, is delineated. The survey area should cover as many key areas as possible where terrain changes may occur; the entire survey area is divided into several blocks according to a certain spatial scale and geographical characteristics, where the blocks can be regular grids of fixed size or geomorphological units (such as a valley and a ridge, etc.); a preset aviation platform (such as a manned aircraft) is used to perform flight operations on each block in turn according to the established route, and the airborne electromagnetic data within the block is collected by the airborne electromagnetic detection equipment carried by the aviation platform; in this application, the airborne electromagnetic data can be used to analyze underground structure, electrical changes and terrain morphological evolution, thereby providing an important basis for geological disaster warning, land use planning and environmental protection.

[0059] Based on the actual survey resources, several monitoring devices are deployed in the blocks. The monitoring devices refer to ground equipment used to monitor terrain evolution, such as electromagnetic sensors, ground stress monitors, or GNSS base stations. A corresponding parent node is created for each block. The parent node is mainly used to store the airborne electromagnetic data in the corresponding block and can also perform data processing and calculations, similar to the parent node in a binary tree. The airborne electromagnetic data in the block is uploaded to the corresponding parent node.

[0060] S200: Mount child nodes corresponding to monitoring devices to the parent node, collect raw data of each block through the monitoring device, upload the raw data to the corresponding child node, integrate the parent node and the child node, and generate a balanced tree.

[0061] Create child nodes corresponding to monitoring devices one by one, and mount the child nodes to the corresponding parent nodes according to the relative position of the blocks and monitoring devices. The child nodes are similar to the child nodes in a binary tree, which are the same as the parent nodes; use the monitoring equipment to continuously collect raw data at fixed time intervals or in an event-triggered manner. These raw data include displacement change values, stress and strain data, tilt angles, water pressure, water level, and electromagnetic signals; upload the raw data to the corresponding child nodes through wired or wireless communication, and mount all the child nodes to the parent node to generate a balanced tree, where the balanced tree is a tree-like data structure, similar to trees in nature, which will tilt when the raw data is abnormal; when tilt occurs, use the aerial platform to re-survey the survey area to comprehensively diagnose whether there is any abnormality.

[0062] S300: Configure the fluctuation range of each child node, edit the evaluation rules of the original data, determine whether there are risk features in the balanced tree, and if so, extract a status snapshot from the balanced tree and send it to a preset terminal, query a preset comparison table, and traverse the risk level corresponding to the risk feature, wherein the comparison table consists of evaluation rule items and risk level items. Based on the risk level, tilt the balanced tree, generate a verification instruction, and send it to the aviation platform.

[0063] Set upper and lower thresholds based on the historical values ​​or business characteristics of the original data in the child nodes, and configure the fluctuation range. Each child node corresponds to a fluctuation range. Determine the evaluation rules for the original data in each child node. For example, by setting indicators such as the proportion of deviation from the mean, the rate of change, and the frequency of anomalies to construct evaluation rules. The evaluation rules are also the evaluation methods for the original data. Based on the evaluation rules and fluctuation range, find the child nodes that may have anomalies, that is, risk characteristics, from the balanced tree.

[0064] For example, the displacement monitoring device corresponding to a child node detects that its block has displaced 32 mm within 24 hours, which exceeds the normal fluctuation range (±10 mm) set for the child node. According to the evaluation rule (if the displacement exceeds 20 mm within 24 hours, it means that the block is at risk of collapse), the child node corresponding to the displacement monitoring device is defined as a risk feature; the status snapshot of each parent node and child node under the balance tree at the current moment is intercepted. In addition to the original data and airborne electromagnetic data reported by the monitoring equipment corresponding to each block, the status snapshot also includes data deviation and timestamps; the status snapshot is sent to the preset terminal, where the preset terminal can be a remote monitoring center or an emergency command platform. It can also be a terminal for personnel who organize terrain evolution surveys; according to the risk characteristics and the original data corresponding to the risk characteristics, the corresponding risk level (such as Level I very high, Level II high, Level III medium and Level IV low) is determined, where the higher the risk level, the more drastic the terrain evolution and the greater the safety hazard; each evaluation rule corresponds to a risk level, and the correspondence between the two is stored in a comparison table; if the risk level reaches a certain level, the balance tree is tilted; triggering the generation of verification instructions, pushing a takeoff reminder to the aviation platform, the verification instructions at least include the location of the risk characteristics, risk level, relevant data indicators and verification operations to be performed, etc., using the aviation platform to re-collect airborne electromagnetic data and conduct a comprehensive verification of the survey area.

[0065] S400: After receiving the verification instruction, the aviation platform re-collects the aviation electromagnetic data and verifies the risk characteristics. If the verification passes, the risk characteristics are sent to the preset terminal. If the verification fails, a balance factor is created, the risk characteristics are corrected, and the balance tree is reconstructed.

[0066] If the verification is successful, that is, there are indeed risk features in the survey area, the risk features will be sent to the preset terminal. If the verification fails, that is, the terrain changes in the survey area due to human activities or natural environment are normal terrain evolution, then a balance factor can be inserted into the balance tree to restore the balance tree.

[0067] Continuing to elaborate on the example in S300, due to heavy rain, the block displaced 32 mm within 24 hours. This is normal terrain evolution and there is no need to re-perform airborne electromagnetic detection. In this case, a balance factor is inserted into the corresponding child node, where the balance factor is a weight value. The data stored in the child node is 32 mm. The balance factor is set to 0.8, the weight values ​​of other child nodes are 1, and the displacement data in the child node is updated using the product of 32*0.8.

[0068] In Example 2, Figure 2 The following describes a method and system implementation process for terrain evolution survey based on airborne electromagnetics, provided by an embodiment of the present invention. The following details the steps of defining a terrain evolution survey area, dividing it into several blocks, and collecting airborne electromagnetic data within each block using a preset aerial platform.

[0069] S101: Establish a corresponding relationship between the balanced tree and the blocks, and define the blocks corresponding to the tilted balanced tree as target blocks.

[0070] Each block corresponds to a parent node, and a balanced tree is constructed using the parent node and the child nodes mounted therein. In other words, each block corresponds to a balanced tree, and the tilted balanced tree is found, and the block corresponding to the balanced tree is defined as the target block.

[0071] S102: Set the boundary range of each block, select test points, integrate the test points corresponding to the target block, generate a survey task, and send it to a preset terminal.

[0072] The boundaries of each block are set based on topographic features, administrative divisions, or existing monitoring networks to ensure that there is no overlap between blocks. Based on actual monitoring needs, test points are selected within the boundaries. When the aerial platform arrives at the test point, the airborne electromagnetic detection equipment on board is used to collect airborne electromagnetic data. Once the block to be surveyed is determined, a survey task is generated using the test points in the block and sent to the preset terminal. For example, the task number of a survey task is TASK-2025-A05, the test points are TP-A05-01, TP-B01-21, TP-C05-03, and the flight altitude is 300 meters.

[0073] In Example 3, Figure 2The implementation process of the terrain evolution survey method based on airborne electromagnetics provided by an embodiment of the present invention is shown. The following details the steps of deploying several monitoring devices in each block, creating a parent node, and uploading the airborne electromagnetic data to the parent node.

[0074] S103: Configure the environmental data of each block and set the data transmission mode of the monitoring device.

[0075] Determine the environmental data for each block, such as geological type, terrain undulation characteristics, hydrological conditions, historical landslide or subsidence records, and meteorological data, and set the data transmission method for each monitoring device; for example, for monitoring devices within the signal coverage range, cellular network transmission can be used, and for monitoring devices located in remote or complex terrain areas, low-power wide area network can be configured.

[0076] S104: Construct a relay network transmission architecture, select a relay node, configure status data of each monitoring device, and forward the status data to the relay node.

[0077] A relay network transmission architecture is constructed within the survey area. The relay network transmission architecture refers to data transmission through multiple relay nodes. Relay nodes are selected based on factors such as terrain height difference, signal strength, power availability, and distance from the monitoring equipment. The raw data and status data (such as power level, signal strength, operating time, and cache occupancy) collected by the monitoring equipment are sent to the relay nodes and forwarded to the preset terminals through the relay network transmission architecture.

[0078] In Example 4, Figure 3 The implementation process of the terrain evolution survey method based on airborne electromagnetics provided by an embodiment of the present invention is shown. The steps of integrating the parent node and the child node to generate a balanced tree are described in detail below:

[0079] S201: Establish a mapping between balanced trees and blocks, integrate the balanced trees corresponding to all blocks, generate a balanced forest, and embed an incremental transmission mechanism.

[0080] Each block corresponds to a balanced tree. The balanced trees corresponding to all blocks are integrated to generate a balanced forest. A balanced forest refers to a collection of balanced trees. A balanced forest can efficiently manage monitoring data through a distributed data structure, which facilitates the improvement of data query, analysis and expansion capabilities in subsequent analysis, transmission and early warning. Since most terrain does not change drastically, the airborne electromagnetic data and the original data will not change significantly. Therefore, the balanced forest is updated using an incremental transmission mechanism. The incremental transmission mechanism refers to updating only the difference data, which can be displacement increments, tilt angle change rates, and electromagnetic intensity mutations.

[0081] S202: Generate a survey report based on the balanced forest and the status snapshot, and send the survey report to a preset terminal.

[0082] Integrate the status snapshots of all balanced trees in the balanced forest, write them into the preset template, generate a survey report, and send the survey report to the preset terminal.

[0083] In Example 5, Figure 4 The implementation process of the terrain evolution survey method based on airborne electromagnetics provided by an embodiment of the present invention is shown. The steps of determining the risk level, tilting the balance tree, generating a verification instruction, and sending the instruction to the aerial platform are described in detail below.

[0084] S301: inserting a tilt angle item into the comparison table, and when the tilt angle is greater than a threshold, starting a preset treatment plan.

[0085] The tilt angle of the balance tree is quantified. In other words, different evaluation rules correspond to different tilt angles. When the tilt angle is greater than a preset threshold, a disposal plan is initiated, where the disposal plan can be to organize the evacuation of personnel.

[0086] S302: Locate the position of the target block, connect all positions using a nearest neighbor algorithm, generate a survey route, and integrate it into the verification instruction.

[0087] The blocks corresponding to the tilted balanced tree are defined as target blocks. The position of each target block is determined. The nearest neighbor algorithm is used to connect all the determined positions in sequence to generate a survey route, and the aerial platform is used to re-survey.

[0088] In Example 6, Figure 5 The implementation process of the terrain evolution survey method based on airborne electromagnetics provided by an embodiment of the present invention is shown. The steps of correcting the risk characteristics and reconstructing the balance tree are described in detail below:

[0089] S401: Determine a time window for each balancing factor, and dynamically update the balancing factor.

[0090] In the process of adjusting the original data with the balance factor, the balance factor is not static. Each balance factor corresponds to a time window, which consists of a start time and an end time. When the end time is reached, the balance factor is dynamically updated using the most recent airborne electromagnetic data.

[0091] S402: Within the time window, version record the state snapshot and create a version chain.

[0092] Using the version method, the status snapshot in each time window is recorded, and the versions corresponding to all time windows are integrated to generate a version chain; a version chain refers to a collection of multiple versions organized in chronological order.

[0093] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0094] Configure the weight value of each balance tree and calculate the risk coefficient of the survey area;

[0095] The risk factors are divided into several levels, and each level corresponds to an emergency response rule.

[0096] A corresponding weight value is assigned to each child node in the balanced tree. The larger the weight value, the greater the risk of the block corresponding to the child node. The weight value of each child node is multiplied by the original data of the child node to obtain the risk coefficient of the child node. The risk coefficient of all child nodes is superimposed to obtain the risk coefficient of the survey area. The risk coefficient is divided into multiple intervals, i.e., levels, and each interval corresponds to an emergency response rule. For example, an emergency response rule is: increase the frequency of airborne electromagnetic monitoring.

[0097] Figure 6 The following is a structural block diagram of a terrain evolution survey system based on airborne electromagnetics according to an embodiment of the present invention. The terrain evolution survey system based on airborne electromagnetics 1 includes:

[0098] The upload module 11 is used to delineate the survey area of ​​terrain evolution and divide it into several blocks. The upload module 11 uses a preset aerial platform to collect airborne electromagnetic data in each block. In each block, a number of monitoring devices are deployed, a parent node is created, and the airborne electromagnetic data is uploaded to the parent node.

[0099] A generation module 12 is configured to calculate the number of monitoring devices, attach child nodes corresponding to the monitoring devices to the parent node, collect raw data of each block via the monitoring devices, upload the raw data to the corresponding child nodes, integrate the parent nodes and child nodes, and generate a balanced tree;

[0100] The sending module 13 is used to configure the fluctuation range of each child node, edit the evaluation rules of the original data, determine whether there is a risk feature in the balanced tree, and if so, extract a state snapshot from the balanced tree and send it to a preset terminal, query a preset comparison table, traverse the risk level corresponding to the risk feature, where the comparison table consists of evaluation rule items and risk level items, tilt the balanced tree based on the risk level, generate a verification instruction, and send it to the aviation platform;

[0101] The reconstruction module 14 is used to re-collect the airborne electromagnetic data after the aviation platform receives the verification instruction, verify the risk characteristics, and send the risk characteristics to the preset terminal if the verification passes. If the verification fails, create a balance factor, correct the risk characteristics, and reconstruct the balance tree.

[0102] Figure 7 The following is a structural block diagram of a terrain evolution survey system based on airborne electromagnetics provided by an embodiment of the present invention. The upload module 11 includes:

[0103] A definition unit 111 is configured to establish a correspondence between a balanced tree and a block, and define a block corresponding to a tilted balanced tree as a target block;

[0104] The setting unit 112 is used to set the boundary range of each block, select test points, integrate the test points corresponding to the target block, generate a survey task, and send it to a preset terminal;

[0105] Configuration unit 113, configured to configure the environmental data of each block and set the data transmission mode of the monitoring device;

[0106] The forwarding unit 114 is used to build a relay network transmission architecture, select a relay node, configure the status data of each monitoring device, and forward the status data to the relay node.

[0107] Figure 8 The following is a structural block diagram of a terrain evolution survey system based on airborne electromagnetics according to an embodiment of the present invention. The generation module 12 includes:

[0108] The embedding unit 121 is used to establish a mapping between balanced trees and blocks, integrate the balanced trees corresponding to all blocks, generate a balanced forest, and embed an incremental transmission mechanism;

[0109] The sending unit 122 is configured to generate a survey report based on the balanced forest and the state snapshot, and send the survey report to a preset terminal.

[0110] Figure 9 The structure block diagram of the terrain evolution survey system based on airborne electromagnetics provided by an embodiment of the present invention is shown. The sending module 13 includes:

[0111] A starting unit 131 is configured to insert a tilt angle item into the comparison table, and start a preset treatment plan when the tilt angle is greater than a threshold;

[0112] The integration unit 132 is used to locate the position of the target block, connect all positions using a nearest neighbor algorithm, generate a survey route, and integrate the route into the verification instruction.

[0113] Figure 10 The following is a structural block diagram of a terrain evolution survey system based on airborne electromagnetics according to an embodiment of the present invention. The reconstruction module 14 includes:

[0114] An updating unit 141 is configured to determine a time window for each balancing factor and dynamically update the balancing factor;

[0115] The creation unit 142 is configured to record the version of the state snapshot within a time window and create a version chain.

[0116] The uploading module 11 is mainly used to complete step S100, the generating module 12 is mainly used to complete step S200, the sending module 13 is mainly used to complete step S300, and the reconstructing module 14 is mainly used to complete step S400;

[0117] The definition unit 111 is mainly used to complete step S101, the setting unit 112 is mainly used to complete step S102, the configuration unit 113 is mainly used to complete step S103, and the forwarding unit 114 is mainly used to complete step S104;

[0118] The embedding unit 121 is mainly used to complete step S201, and the issuing unit 122 is mainly used to complete step S202;

[0119] The starting unit 131 is mainly used to complete step S301, and the integration unit 132 is mainly used to complete step S302;

[0120] The updating unit 141 is mainly used to complete step S401, and the creating unit 142 is mainly used to complete step S402.

[0121] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0123] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A terrain evolution survey method based on airborne electromagnetics, characterized in that: The method comprises: Delineate a survey area for terrain evolution and divide it into several blocks. Utilize a pre-set aerial platform to collect airborne electromagnetic data within each block. Deploy several monitoring devices within each block, create a parent node, and upload the airborne electromagnetic data to the parent node. Mount child nodes corresponding to monitoring devices to the parent node, collect raw data of each block through the monitoring device, upload the raw data to the corresponding child node, integrate the parent node and child nodes, and generate a balanced tree; Configuring the fluctuation range of each child node, editing the evaluation rules of the original data, determining whether there is a risk feature in the balance tree, and if so, extracting a state snapshot from the balance tree and sending it to a preset terminal, querying a preset comparison table, and traversing the risk level corresponding to the risk feature, wherein the comparison table is composed of evaluation rule items and risk level items, tilting the balance tree according to the risk level, generating a verification instruction, and sending it to the aviation platform; When the aviation platform receives the verification instruction, it re-collects the airborne electromagnetic data and verifies the risk characteristics. If the verification passes, the risk characteristics are sent to the preset terminal. If the verification fails, a balance factor is created, the risk characteristics are corrected, and the balance tree is reconstructed. The steps of delineating the survey area for terrain evolution and dividing it into a plurality of blocks, and collecting airborne electromagnetic data in each block using a preset aerial platform include: Establish the corresponding relationship between the balanced tree and the block, and define the block corresponding to the tilted balanced tree as the target block; Set the boundary range of each block, select test points, integrate the test points corresponding to the target block, generate a survey task, and send it to the preset terminal; The step of tilting the balance tree according to the risk level, generating a verification instruction, and sending the verification instruction to the aviation platform includes: Inserting a tilt angle item into the comparison table, and when the tilt angle is greater than a threshold, starting a preset treatment plan; The position of the target block is located, and all positions are connected using a nearest neighbor algorithm to generate a survey route, which is integrated into the verification instruction.

2. The terrain evolution survey method based on airborne electromagnetics according to claim 1, characterized in that: The steps of deploying a plurality of monitoring devices in each block, creating a parent node, and uploading the airborne electromagnetic data to the parent node include: Configure the environmental data for each block and set the data transmission method of the monitoring equipment; Build a relay network transmission architecture, select relay nodes, configure status data of each monitoring device, and forward the status data to the relay nodes.

3. The terrain evolution survey method based on airborne electromagnetics according to claim 2, characterized in that: The step of integrating the parent node and the child node to generate a balanced tree includes: Establish a mapping between balanced trees and blocks, integrate the balanced trees corresponding to all blocks, generate a balanced forest, and embed an incremental transmission mechanism; A survey report is generated based on the balanced forest and the status snapshot, and the survey report is sent to a preset terminal.

4. The terrain evolution survey method based on airborne electromagnetics according to claim 1, characterized in that: The step of correcting the risk characteristics and reconstructing the balance tree includes: Determine a time window for each balancing factor and dynamically update the balancing factor; Within the time window, the state snapshot is versioned and a version chain is created.

5. The terrain evolution survey method based on airborne electromagnetics according to claim 3, characterized in that: The method further comprises: Configure the weight value of each balance tree and calculate the risk coefficient of the survey area; The risk factors are divided into several levels, each of which corresponds to an emergency response rule.

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