Tower foundation slope monitoring method and system

Abstract

The invention discloses a tower foundation slope monitoring method and system. The method comprises the steps that whether the distance between a first monitoring point position corresponding to first target displacement data and a second monitoring point position corresponding to second target displacement data in a target displacement data sequence is larger than a preset threshold value or not is judged; if not, judging whether a displacement value in the first target displacement data or a displacement value in the second target displacement data is greater than a preset quantity threshold; if the displacement value in the first target displacement data is not greater than a preset quantity threshold value, acquiring at least one piece of displacement data corresponding to the first target displacement data from the at least one displacement data sequence; and calculating a displacement difference value between the at least one piece of displacement data and the first target displacement data, and determining whether a monitoring point position corresponding to the first target displacement data is abnormal or not according to each displacement difference value. Therefore, the monitoring accuracy of the tower foundation slope is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of pole tower monitoring, and in particular relates to a pole tower foundation slope monitoring method and system. Background Art

[0002] At present, transmission line towers have been operating in complex terrain environments for a long time, such as mountainous areas and hilly areas. They are easily affected by geological disasters such as landslides and mud-rock flows, which lead to unstable tower foundations. In serious cases, they may cause accidents such as tower collapse and transmission line rupture, affecting the safe operation of the power grid.

[0003] Existing monitoring methods mainly use manual inspections, drone inspections, and visualization devices such as geological radar, but these methods have the following problems:

[0004] Poor real-time performance: The manual inspection cycle is long and it is impossible to monitor the slope status in real time;

[0005] Poor environmental adaptability: Manual and drone inspections are difficult to implement under extreme weather conditions (such as heavy rain and mudslides);

[0006] Limited monitoring accuracy: Traditional methods have difficulty accurately identifying changes in the soil inside the tower foundation and lack an effective early warning mechanism. Summary of the Invention

[0007] The present invention provides a tower foundation slope monitoring method and system, which are used to solve the technical problems of inaccurate tower foundation slope monitoring and easy false alarm.

[0008] In a first aspect, the present invention provides a tower foundation slope monitoring method, comprising:

[0009] Acquire displacement data of each monitoring point in the area to be monitored, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence;

[0010] selecting target displacement data from the at least one displacement data sequence according to a preset selection rule, and constructing a target displacement data sequence based on each target displacement data;

[0011] determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data;

[0012] If it is not greater than a preset threshold, determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold;

[0013] If the displacement value in the first target displacement data is not greater than a preset quantity threshold, acquiring at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence;

[0014] A displacement difference between the at least one displacement data and the first target displacement data is calculated, and whether a monitoring point corresponding to the first target displacement data is abnormal is determined according to each displacement difference.

[0015] In a second aspect, the present invention provides a tower foundation slope monitoring system, comprising:

[0016] A clustering module is configured to obtain displacement data of each monitoring point in the monitored area, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence;

[0017] a selection module configured to select target displacement data from the at least one displacement data sequence according to a preset selection rule, and construct a target displacement data sequence based on each target displacement data;

[0018] a first determining module configured to determine whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data;

[0019] a second judgment module configured to judge whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold if it is not greater than a preset threshold;

[0020] an acquisition module configured to acquire at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence if the displacement value in the first target displacement data is greater than a preset quantity threshold;

[0021] The determination module is configured to calculate a displacement difference between the at least one displacement data and the first target displacement data, and determine whether a monitoring point corresponding to the first target displacement data is abnormal according to each displacement difference.

[0022] In a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the tower foundation slope monitoring method of any embodiment of the present invention.

[0023] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the tower foundation slope monitoring method of any embodiment of the present invention.

[0024] The tower foundation slope monitoring method and system of the present application have the following beneficial effects:

[0025] The displacement data is clustered through a preset clustering strategy, and a large amount of displacement data is summarized into at least one displacement data sequence. This strategy helps to reduce the amount of data and improve the efficiency of data processing and analysis. The target displacement data is selected from the displacement data sequence according to the preset selection rules, and the target displacement data sequence is further constructed. This helps to screen out key data and reduce unnecessary analysis work. It determines whether the distance between the monitoring points corresponding to adjacent target displacement data is greater than the preset threshold, which helps to identify points with significant displacement changes, thereby more accurately locating potential safety hazards. If the distance is not greater than the preset threshold, it is further determined whether the displacement value is greater than the preset quantity threshold. This helps to identify abnormal situations through changes in displacement values ​​when the distance change is not significant, thereby effectively improving the accuracy of tower foundation slope monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0027] Figure 1 A flow chart of a tower foundation slope monitoring method provided by one embodiment of the present invention;

[0028] Figure 2 A structural block diagram of a tower foundation slope monitoring system provided by one embodiment of the present invention;

[0029] Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] See also Figure 1 , which shows a flow chart of a tower foundation slope monitoring method of the present application.

[0032] like Figure 1 As shown, the tower foundation slope monitoring method specifically includes the following steps:

[0033] Step S101: obtaining displacement data of each monitoring point in the area to be monitored, and clustering each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence.

[0034] In this step, the position height of each monitoring point is obtained, and at least one displacement data of a certain position height is clustered to obtain a displacement data set corresponding to the certain position height; based on a preset electronic map, the displacement data in the displacement data set are sorted along the preset position direction to obtain a displacement sequence.

[0035] Step S102 : selecting target displacement data from the at least one displacement data sequence according to a preset selection rule, and constructing a target displacement data sequence based on each target displacement data.

[0036] In this step, the position value of each displacement data in a displacement data sequence is obtained; a displacement data with the largest position value is selected in a displacement data sequence and defined as a target displacement data; and each target displacement data is sorted in descending order based on the position height to obtain a target displacement data sequence.

[0037] Step S103, determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data.

[0038] In a specific embodiment, after determining whether the distance between a first monitoring point corresponding to a first target displacement data and a second monitoring point corresponding to a second target displacement data in a target displacement data sequence is greater than a preset threshold, the position value of each displacement data in a displacement data sequence is obtained; a displacement data with the largest position value is selected in a displacement data sequence and defined as a target displacement data; and each target displacement data is sorted in descending order based on the position height to obtain a target displacement data sequence.

[0039] Step S104: If it is not greater than the preset threshold, determine whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold.

[0040] In a specific embodiment, after determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold, if the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than the preset quantity threshold, the first monitoring point or the second monitoring point is defined as an abnormal point, and an early warning signal containing the location information of the first monitoring point or the second monitoring point is sent to the user.

[0041] Step S105 : if the displacement value in the first target displacement data is not greater than a preset quantity threshold, obtaining at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence.

[0042] Step S106 , calculating a displacement difference between the at least one displacement data and the first target displacement data, and determining whether a monitoring point corresponding to the first target displacement data is abnormal based on each displacement difference.

[0043] In this step, the monitoring point corresponding to at least one displacement data and the monitoring point corresponding to the first target displacement data are in the same vertical plane;

[0044] It should be noted that calculating the displacement difference between at least one displacement data and the first target displacement data, and determining whether the monitoring point corresponding to the first target displacement data is abnormal according to each displacement difference includes:

[0045] Calculate a first displacement difference between a certain displacement data and the first target displacement data, and a second displacement difference between another displacement data and the first target displacement data, wherein the position height of the monitoring point corresponding to the certain displacement data is higher than the position height of the monitoring point corresponding to the other displacement data; determine whether the first displacement difference is less than the second displacement difference; if so, define the monitoring point corresponding to the certain displacement data and the first monitoring point corresponding to the first target displacement data as abnormal points, and send a warning signal containing the position information of the first monitoring point and the second monitoring point to the user; if not, define the first monitoring point corresponding to the first target displacement data as a normal point.

[0046] In summary, the method of the present application clusters displacement data through a preset clustering strategy, and summarizes a large amount of displacement data into at least one displacement data sequence. This strategy helps to reduce the amount of data and improve the efficiency of data processing and analysis. It selects target displacement data from the displacement data sequence according to preset selection rules, and further constructs a target displacement data sequence. This helps to screen out key data and reduce unnecessary analysis work. It judges whether the distance between the monitoring points corresponding to adjacent target displacement data is greater than a preset threshold, which helps to identify points with significant displacement changes, thereby more accurately locating potential safety hazards. If the distance is not greater than the preset threshold, it further judges whether the displacement value is greater than the preset quantity threshold. This helps to identify abnormal situations through changes in displacement values ​​when the distance change is not significant, thereby effectively improving the accuracy of tower foundation slope monitoring.

[0047] Please refer to Figure 2 , which shows a structural block diagram of a tower foundation slope monitoring system of the present application.

[0048] like Figure 2 As shown, the tower foundation slope monitoring system 200 includes a clustering module 210 , a selection module 220 , a first judgment module 230 , a second judgment module 240 , an acquisition module 250 and a determination module 260 .

[0049] The clustering module 210 is configured to obtain displacement data of each monitoring point in the monitored area, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence; the selection module 220 is configured to select target displacement data from the at least one displacement data sequence according to a preset selection rule, and construct a target displacement data sequence based on each target displacement data; the first judgment module 230 is configured to judge whether the distance between the first monitoring point corresponding to the first target displacement data and the second monitoring point corresponding to the second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are greater than a preset threshold. are two adjacent target displacement data; a second judging module 240 is configured to, if it is not greater than a preset threshold, determine whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold; an acquiring module 250 is configured to, if the displacement value in the first target displacement data is greater than the preset quantity threshold, acquire at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence; a determining module 260 is configured to calculate the displacement difference between the at least one displacement data and the first target displacement data, and determine whether the monitoring point corresponding to the first target displacement data is abnormal based on each displacement difference.

[0050] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects also apply to Figure 2 The modules in it will not be described in detail here.

[0051] In other embodiments, embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the tower foundation slope monitoring method in any of the above method embodiments;

[0052] As an embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0053] Acquire displacement data of each monitoring point in the area to be monitored, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence;

[0054] selecting target displacement data from the at least one displacement data sequence according to a preset selection rule, and constructing a target displacement data sequence based on each target displacement data;

[0055] determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data;

[0056] If it is not greater than a preset threshold, determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold;

[0057] If the displacement value in the first target displacement data is not greater than a preset quantity threshold, acquiring at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence;

[0058] A displacement difference between the at least one displacement data and the first target displacement data is calculated, and whether a monitoring point corresponding to the first target displacement data is abnormal is determined according to each displacement difference.

[0059] The computer-readable storage medium may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function; the data storage area may store data generated based on the use of the tower foundation slope monitoring system. Furthermore, the computer-readable storage medium may include high-speed random access memory and may also include storage, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include storage remote from the processor. Such remote storage may be connected to the tower foundation slope monitoring system via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0060] Figure 3 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 The example of a bus connection is shown. Memory 320 is the aforementioned computer-readable storage medium. Processor 310 executes the various server functional applications and data processing by running the non-volatile software programs, instructions, and modules stored in memory 320, thereby implementing the tower foundation slope monitoring method described above. Input device 330 can receive input digital or character information and generate key signal input related to user settings and function control of the tower foundation slope monitoring system. Output device 340 may include a display device such as a display screen.

[0061] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0062] As an embodiment, the electronic device is applied to a tower foundation slope monitoring system and is used for a client, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0063] Acquire displacement data of each monitoring point in the area to be monitored, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence;

[0064] selecting target displacement data from the at least one displacement data sequence according to a preset selection rule, and constructing a target displacement data sequence based on each target displacement data;

[0065] determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data;

[0066] If it is not greater than a preset threshold, determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold;

[0067] If the displacement value in the first target displacement data is not greater than a preset quantity threshold, acquiring at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence;

[0068] A displacement difference between the at least one displacement data and the first target displacement data is calculated, and whether a monitoring point corresponding to the first target displacement data is abnormal is determined according to each displacement difference.

[0069] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or certain parts of the embodiment.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A tower foundation slope monitoring method, characterized in that: include: Acquire displacement data of each monitoring point in the area to be monitored, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence; selecting target displacement data from the at least one displacement data sequence according to a preset selection rule, and constructing a target displacement data sequence based on each target displacement data; determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data; If it is not greater than a preset threshold, determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold; If the displacement value in the first target displacement data is not greater than a preset quantity threshold, acquiring at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence; A displacement difference between the at least one displacement data and the first target displacement data is calculated, and whether a monitoring point corresponding to the first target displacement data is abnormal is determined according to each displacement difference.

2. A tower foundation slope monitoring method according to claim 1, characterized in that: The step of clustering the displacement data based on a preset clustering strategy to obtain at least one displacement data sequence includes: Obtaining the position height of each monitoring point, clustering at least one displacement data of a certain position height, and obtaining a displacement data set corresponding to the certain position height; The displacement data in the displacement data set are sorted along a preset position direction based on a preset electronic map to obtain a displacement sequence.

3. A tower foundation slope monitoring method according to claim 1, characterized in that: The selecting target displacement data from the at least one displacement data sequence according to a preset selection rule and constructing a target displacement data sequence based on each target displacement data includes: Obtain the position value of each displacement data in a displacement data sequence; Selecting a displacement data with the largest position value in the displacement data sequence and defining it as a target displacement data; The target displacement data are sorted in descending order based on the position height to obtain a target displacement data sequence.

4. A tower foundation slope monitoring method according to claim 1, characterized in that: After determining whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, the method further includes: If it is greater than a preset threshold, the first monitoring point and the second monitoring point are directly defined as abnormal points, and an early warning signal containing the location information of the first monitoring point and the second monitoring point is sent to the user.

5. The tower foundation slope monitoring method according to claim 1, characterized in that: After determining whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset threshold, the method further includes: If the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold, the first monitoring point or the second monitoring point is defined as an abnormal point, and an early warning signal containing the location information of the first monitoring point or the second monitoring point is sent to the user.

6. A tower foundation slope monitoring method according to claim 1, characterized in that: The monitoring point corresponding to the at least one displacement data and the monitoring point corresponding to the first target displacement data are in the same vertical plane; The calculating of the displacement difference between the at least one displacement data and the first target displacement data, and determining whether the monitoring point corresponding to the first target displacement data is abnormal according to each displacement difference includes: Calculating a first displacement difference between a certain displacement data and the first target displacement data, and a second displacement difference between another displacement data and the first target displacement data, wherein the height of the monitoring point corresponding to the certain displacement data is higher than the height of the monitoring point corresponding to the another displacement data; determining whether the first displacement difference is smaller than the second displacement difference; If it is less than, the monitoring point corresponding to a certain displacement data and the first monitoring point corresponding to the first target displacement data are defined as abnormal points, and a warning signal containing the position information of the first monitoring point and the second monitoring point is sent to the user; If it is not less than, the first monitoring point corresponding to the first target displacement data is defined as a normal point.

7. A tower foundation slope monitoring system, characterized in that: include: A clustering module is configured to obtain displacement data of each monitoring point in the monitored area, and cluster each displacement data based on a preset clustering strategy to obtain at least one displacement data sequence; a selection module configured to select target displacement data from the at least one displacement data sequence according to a preset selection rule, and construct a target displacement data sequence based on each target displacement data; a first determining module configured to determine whether a distance between a first monitoring point corresponding to first target displacement data and a second monitoring point corresponding to second target displacement data in the target displacement data sequence is greater than a preset threshold, wherein the first target displacement data and the second target displacement data are two adjacent target displacement data; a second judgment module configured to judge whether the displacement value in the first target displacement data or the displacement value in the second target displacement data is greater than a preset quantity threshold if it is not greater than a preset threshold; an acquisition module configured to acquire at least one displacement data corresponding to the first target displacement data in the at least one displacement data sequence if the displacement value in the first target displacement data is greater than a preset quantity threshold; The determination module is configured to calculate a displacement difference between the at least one displacement data and the first target displacement data, and determine whether a monitoring point corresponding to the first target displacement data is abnormal according to each displacement difference.

8. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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