A slope instability monitoring method, device and medium based on a tower foundation slope model

Abstract

This invention relates to the field of transmission tower monitoring, and discloses a method, equipment, and medium for monitoring slope instability based on a tower base slope model. The method includes: performing image feature recognition and extraction processing on image signal data of the tower base slope under rainfall based on the tower base slope model; performing tower base slope calibration and area calculation processing on the results of the image feature recognition and extraction; judging the degree of instability of the tower base slope based on the calibration and area calculation results, and updating the safety factor of the tower base slope; generating a tower base slope instability monitoring report based on the instability status and the updated safety factor of the tower base slope. This enables the updating of the safety factor of the tower base slope and the generation of a tower base slope instability monitoring report to prompt staff to carry out maintenance, preventing further soil erosion caused by rainfall, which could lead to tower collapse due to tower base slope instability and endanger the operational safety of the transmission line.

Description

Technical Field

[0001] This invention relates to the field of transmission tower monitoring, and in particular to a method, equipment, and medium for monitoring slope instability based on a tower base slope model. Background Technology

[0002] Heavy rain can cause severe soil erosion, leading to the collapse of transmission line towers and affecting the safe operation of power lines. Therefore, to prevent the foundation slopes of transmission line towers from becoming unstable due to heavy rain, it is necessary to assess the degree of instability of the tower foundation slopes under the influence of heavy rain. Currently, most methods only consider assessing the instability of transmission line tower foundation slopes based on heavy rain weather factors. However, this method of assessing tower foundation slope instability is too simplistic and cannot accurately determine the degree of instability. Consequently, it cannot promptly alert staff to maintain the tower foundation slopes, allowing severe soil erosion to cause landslides and further exacerbating the instability of the tower foundation slopes, ultimately leading to the collapse of transmission towers and affecting the safe operation of power lines. Summary of the Invention

[0003] The purpose of this invention is to propose a slope instability monitoring method, equipment, and medium based on a tower-based slope model, thereby solving the technical problem that the existing technology's judgment method for slope instability monitoring is too simplistic, leading to inaccurate monitoring.

[0004] This invention enables the determination of the instability degree of tower base slope by performing feature recognition and extraction, area calculation and processing on tower base slope images, updating the safety factor of the tower base slope, and generating a tower base slope instability monitoring report to prompt staff to carry out maintenance, so as to avoid further aggravation of soil erosion caused by rainfall, which could lead to the collapse of the transmission tower due to the instability of the tower base slope and endanger the operation safety of the transmission line.

[0005] Specifically, this invention provides a slope instability monitoring method based on a tower-based slope model, comprising the following steps:

[0006] S1. Based on the tower base slope model, perform image feature recognition and extraction processing on the tower base slope image signal data information under rainfall.

[0007] S2. Perform tower base slope calibration and area calculation on the results of feature recognition and extraction from the tower base slope image;

[0008] S3. Based on the results of tower base slope calibration and area calculation, determine the degree of instability of the tower base slope and update the safety factor of the tower base slope.

[0009] S4. Generate a tower base slope instability monitoring report based on the tower base slope instability status and the updated tower base slope safety factor.

[0010] A storage device that stores instructions and data for implementing a slope instability monitoring method based on a tower-base slope model.

[0011] A slope instability monitoring device based on a tower-based slope model includes: a processor and a storage device; the processor loads and executes instructions and data in the storage device to implement a slope instability monitoring method based on a tower-based slope model.

[0012] The beneficial effects provided by this invention are: it enables the generation of early warning reports for tower base slopes based on the updated safety factor of the base slope, prompting staff to carry out emergency repairs, preventing further aggravation of soil erosion caused by rainfall, which could lead to the tower base being exposed on the ground surface or the bottom of the tower base being excessively suspended, causing the tower base slope to become unstable and the transmission tower to collapse, endangering the operational safety of the transmission line, and avoiding the collapse of the transmission tower due to soil erosion of the tower base slope, thereby improving the accuracy of identifying tower base slope instability.

[0013] This system enables the identification of tower base features, slope features, vegetation features, and floating object features by performing feature recognition processing on the image signal data of the tower base slope. It also performs regional division processing to obtain tower base area, slope area, vegetation area, and floating object area. By performing different regional divisions, anomalies in each area can be quickly and accurately monitored, thereby improving the accuracy and efficiency of identifying tower base slope instability.

[0014] This system enables the identification and processing of abnormal features on the tower base slope to calculate the area, determine the degree of instability of the tower base slope, and generate a report to prompt staff to carry out tower base slope maintenance, so as to prevent tower base slope instability from causing safety problems in the operation of transmission lines.

[0015] This system enables the determination of rainwater flow velocity by selecting a large floating object when the displacement velocity of the floating object is the same. Based on the impact of rainwater flow velocity on soil erosion, the system predicts the degree of soil erosion on the tower base slope. By generating a report based on the predicted degree of soil erosion on the tower base slope, the system can improve the accuracy of monitoring the instability of transmission tower slopes and prompt staff to carry out tower base slope maintenance to prevent further aggravation of the instability of the transmission tower slope, thereby improving the accuracy and efficiency of identifying tower base slope instability.

[0016] This system enables real-time updates of the safety factor of the base slope. When the updated safety factor of the base slope is less than the set safety factor threshold, an early warning report is generated to prompt staff to carry out emergency repairs. This prevents further soil erosion caused by rainfall, which could lead to the base of the tower being exposed on the ground or the bottom of the tower being excessively suspended. It also avoids the collapse of the transmission tower due to soil erosion of the base slope, thereby improving the accuracy of identifying base slope instability. Attached Figure Description

[0017] Figure 1 This is a simplified schematic diagram of the method flow of the present invention;

[0018] Figure 2 This is a schematic diagram of the hardware device used in this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0020] Before formally describing the present invention, a general description of the solution of the present invention will be given first to facilitate understanding.

[0021] Example 1:

[0022] Please refer to Figure 1 , Figure 1 This is a schematic diagram of the method flow of the present invention;

[0023] This invention provides a slope instability monitoring method based on a tower-base slope model, comprising the following steps:

[0024] S1. Based on the tower base slope model, perform image feature recognition and extraction processing on the tower base slope image signal data information under rainfall.

[0025] It should be noted that the acquisition of tower base slope data and the construction of a tower base slope model are involved. This data includes the tower base structure, soil type, soil dry density, slope height, gradient, length, and vegetation cover. Soil types include sandy soil, sub-sandy soil, loess, and sandy soil containing gravel, pebbles, and loose stones. Time-series image signal data of the tower base slope under rainfall effects are obtained. Based on the tower base slope model, image feature recognition and extraction are performed on this data. The resulting image feature recognition and extraction process includes tower base feature recognition and extraction, slope feature recognition and extraction, vegetation feature recognition and extraction, and floating object feature recognition and extraction.

[0026] It should be noted that the specific model of the tower base slope is as follows:

[0027] A foundation model of the tower base slope is constructed based on the tower base structure, soil type, soil dry density, soil slope height, slope and length, and slope vegetation cover.

[0028] Acquire image signal data of the tower base slope under different rainfall levels;

[0029] Image feature extraction and processing were performed on the image signal data of the tower base slope under different rainfall levels.

[0030] The safety factor of the tower base slope is updated based on the feature extraction and processing results of the tower base slope image.

[0031] The foundation model of the tower base slope is trained based on rainfall data of different rainfall levels and the feature extraction and processing results of tower base slope images.

[0032] If the model training result is different from the training sample result, the model training is re-performed; if the model training result is the same as the training sample result, the model training is completed.

[0033] For example, by performing feature recognition processing on the image signal data of the tower base slope, tower base features, slope features, vegetation features, and floating object features can be identified. Then, regional division processing can be performed to obtain tower base area, slope area, vegetation area, and floating object area. By performing different regional divisions, anomalies in each area can be quickly and accurately monitored, thereby improving the accuracy and efficiency of identifying tower base slope instability.

[0034] Specifically, step S1 includes the following steps:

[0035] S11. Perform feature recognition processing on the image signal data of the tower base slope. Feature recognition processing includes tower base features, slope features, vegetation features, and floating object features recognition processing.

[0036] S12. Based on the feature recognition processing results, perform region division processing, which includes tower base region, slope region, vegetation region and floating object region;

[0037] S13. Based on the region division processing results, feature extraction processing is performed, including tower base features, slope features, vegetation features and floating object features.

[0038] For example, a basic model of the tower base slope is constructed by acquiring information such as the tower base structure, soil type, soil dry density, slope height, inclination, length, and vegetation cover. Image signal data of the tower base slope under different rainfall levels are obtained, and image feature extraction processing is performed. Rainfall levels include light rain, moderate rain, heavy rain, torrential rain, and extremely heavy rain.

[0039] The image signal data of the tower base slope is processed for tower base feature recognition to identify tower base features, including first, second, third, and fourth tower base features. Based on these features, a tower base area is constructed. When constructing the tower base area, a tower base safety zone can be set. When soil erosion is severe in the tower base safety zone, a report can be generated to prompt staff to carry out maintenance, preventing further soil erosion that could lead to the tower base being exposed to the ground or the bottom of the tower base being excessively suspended, thus avoiding tower base slope instability and tower collapse that could endanger the safe operation of the transmission line.

[0040] The image signal data of the tower base slope is processed for slope feature recognition to identify slope features. By dividing the slope features into regions based on the slope inclination and length, several slope region intervals are obtained. The safety level can be determined based on the distance between the divided slope region and the tower base region. When slope deformation occurs in the slope region, the severity of the damage caused by the instability of the tower base slope can be judged and a report can be generated to prevent the instability of the tower base slope from causing safety problems in the operation of the transmission line.

[0041] The image signal data of the tower foundation slope is processed by vegetation feature recognition to identify vegetation features. The vegetation area can be divided into several vegetation areas according to the vegetation type. By judging the degree of damage to the vegetation area due to severe soil erosion in different vegetation areas, the impact of the vegetation area on the instability of the tower foundation slope is judged and a report is generated to prevent the instability of the tower foundation slope from affecting the safe operation of the transmission line.

[0042] The image signal data of the tower base slope is processed to identify floating object features, identify floating object features, divide floating object areas, and determine the rainwater flow speed in the floating object area by the movement speed of floating objects in the floating object area. This allows for the assessment of the degree of soil erosion and its impact on the instability of the tower base slope, generating a report to prevent tower base slope instability.

[0043] It should be noted that the tower base slope model adopts a machine learning-based regression model. The inputs include tower base structural parameters, soil physical parameters, and rainfall data, and the output is a predicted safety factor. The model is trained using historical slope monitoring data, and the parameters are optimized using a gradient descent algorithm.

[0044] It should be noted that the image feature recognition uses a convolutional neural network (CNN) to extract multiple features, including the tower base outline, slope texture, vegetation cover density, and the trajectory of floating objects.

[0045] It should be noted that the region division is based on an image semantic segmentation algorithm, using a pre-trained DeepLabv3+ model for pixel-level classification, dividing the region into four areas: tower base, slope, vegetation, and floating objects.

[0046] S2. Perform tower base slope calibration and area calculation on the results of feature recognition and extraction from the tower base slope image;

[0047] It should be noted that the image feature extraction and processing of the tower base slope under rainfall-induced conditions is performed based on the tower base slope model to obtain the image feature extraction and processing results. The tower base slope coordinates are then calibrated based on the image feature extraction and processing results, and anomaly feature identification processing is performed. By calculating the area of ​​the anomaly feature identification results, the degree of instability of the tower base slope is determined, and a report is generated to prompt staff to perform tower base slope maintenance to prevent tower base slope instability from causing safety issues in the operation of the transmission line. The anomaly feature identification and processing of the tower base slope includes the identification and processing of slope surface gully erosion features, tower base slope deformation features, slope surface vegetation damage features, soil erosion features in the tower base area, and floating object features on the tower base slope. Among them, the characteristics of floating objects on the tower base slope are used to determine the water flow velocity in each slope section of the tower base slope. By using the water flow velocity in each slope section of the tower base slope to predict the degree of soil erosion of the tower base slope, and generating a report based on the predicted degree of soil erosion of the tower base slope, the monitoring accuracy of the instability of the transmission tower slope can be improved and the staff can be prompted to carry out the maintenance of the tower base slope to prevent the instability of the transmission tower slope from being further aggravated.

[0048] It should be noted that the area calculation is achieved by performing pixel statistics on the segmented binary image and converting it into the actual area (unit: square meters) by combining calibration coefficients.

[0049] It should be noted that step S2 includes the following steps:

[0050] S21. Perform coordinate calibration on the image feature recognition and extraction results of the tower base slope;

[0051] S22. Perform anomaly feature identification processing on the tower base slope image after coordinate calibration. The anomaly feature identification processing includes slope surface gully erosion features, tower base slope deformation features, slope surface vegetation damage features, tower base area soil loss features, and floating object features on the tower base slope.

[0052] S23. Perform area calculation processing on the results of abnormal feature identification and processing of the tower base slope.

[0053] For example, the origin can be used as the intersection point of the diagonals of the four tower base features to perform coordinate calibration on the image feature extraction results of the tower base slope, resulting in coordinate maps of the tower base area, slope area, vegetation area, and floating object area. By identifying soil erosion characteristics in the tower base area coordinate map, exposed ground surface or suspended bottom of the tower base can be identified, and the area of ​​exposed ground surface or suspended bottom can be calculated to determine the degree of tower base slope instability and generate a report, thereby improving the accuracy and efficiency of tower base slope instability identification. By identifying and calculating the area of ​​gully erosion and tower base slope deformation characteristics in the slope area coordinate map, the degree of gully erosion and tower base slope deformation can be obtained. Based on the degree of gully erosion and tower base slope deformation, the extent of impact on tower base slope instability can be determined, and a report can be generated to provide early warning and prompt staff to maintain the tower base slope to prevent further aggravation of transmission tower slope instability. By identifying slope vegetation damage characteristics and calculating their area within a vegetation area coordinate map, the degree of slope vegetation damage is determined, and the extent of soil erosion caused by rainfall intensity and duration is estimated, thereby assessing the impact on the instability of the tower foundation slope. Floating objects, including air bubbles, leaves, and dead branches, are identified on the tower foundation slope within a floating object area coordinate map, and their areas are calculated. By selecting floating objects with larger areas at the same displacement velocity to determine rainwater flow velocity, the impact of rainwater flow velocity on soil erosion is assessed, thus improving the accuracy and efficiency of tower foundation slope instability identification.

[0054] S3. Based on the results of tower base slope calibration and area calculation, determine the degree of instability of the tower base slope and update the safety factor of the tower base slope.

[0055] The tower base slope image feature extraction and processing results are used for tower base slope calibration and area calculation to obtain the calibration and area calculation results. Based on these results, the degree of tower base slope instability is assessed, and the safety factor of the tower base slope is updated. The degree of tower base slope instability includes Level 1, Level 2, Level 3, and Level 4 instability impact. It should be noted that the level 4 instability impact is higher than the level 3 impact, the level 3 impact is higher than the level 2 impact, and the level 2 impact is higher than the level 1 impact.

[0056] It should be noted that step S3 further includes the following steps:

[0057] S31. Based on the characteristics of floating objects on the tower base slope, the degree of soil erosion on the tower base slope is estimated according to the rainfall level and duration, which is used to determine the first-level impact of the tower base slope instability.

[0058] S32. Based on the characteristic area of ​​vegetation damage on the slope surface and the characteristic area of ​​gully erosion on the slope surface, determine the degree of secondary impact of the instability of the tower base slope.

[0059] S33. Determine the level of influence of the third-level instability of the tower base slope based on the deformation characteristic area of ​​the tower base slope;

[0060] S34. Determine the level of impact of the fourth-level instability of the tower base slope based on the characteristics of soil loss in the tower base area;

[0061] S35. Based on the first-level, second-level, third-level, and fourth-level impact of the tower base slope instability, update the safety factor of the tower base slope.

[0062] For example, by updating the safety factor of the base slope in real time, when the updated safety factor of the base slope is less than a set safety factor threshold, an early warning report is generated to prompt staff to carry out emergency repairs. This prevents further soil erosion caused by rainfall, which could lead to the tower base being exposed to the ground or the bottom of the tower base being excessively suspended, causing the tower base slope to become unstable and collapse, endangering the operational safety of the transmission line. This also avoids tower collapse due to soil erosion of the base slope, thereby improving the accuracy of identifying tower base slope instability. Based on the first, second, third, and fourth levels of impact of tower base slope instability, the safety factor of the tower base slope is updated, and its expression is as follows:

[0063]

[0064] in, The safety factor for the updated tower base slope, The current safety factor of the tower base slope, The weights for the i-th level of impact of the tower base slope instability are derived through regression analysis of historical disaster data, reflecting the proportion of contribution of each level of impact to the safety factor. The degree of impact of the instability of the tower base slope is classified as Level I.

[0065] S4. Generate a tower base slope instability monitoring report based on the tower base slope instability status and the updated tower base slope safety factor.

[0066] Based on the results of tower base slope calibration and area calculation, the degree of instability of the tower base slope is assessed, and the safety factor of the tower base slope is updated. An updated safety factor is then generated, and a tower base slope instability monitoring report is produced based on the instability status and the updated safety factor. This report includes an early warning report, a repair report, and a report indicating a risk of transmission tower collapse due to instability. The updated safety factor is used to assess the degree of instability and generate a monitoring report to prompt emergency repairs, thereby preventing severe soil erosion caused by rainfall that could lead to tower collapse and endanger the safe operation of the transmission lines.

[0067] It should be noted that step S4 further includes the following steps:

[0068] S41. When the updated safety factor of the tower base slope is less than the first safety factor setting threshold, generate a tower base slope instability early warning report based on the tower base slope instability situation.

[0069] S42. When the safety factor of the updated tower base slope is less than the second safety factor setting threshold, generate a tower base slope instability repair report based on the tower base slope instability situation.

[0070] S43. When the updated safety factor of the tower base slope is less than the third safety factor threshold, a report on the risk of tower collapse due to tower base slope instability is generated based on the instability of the tower base slope.

[0071] In this embodiment of the invention, the first, second, and third safety factor thresholds can be set to 1.2, 1.0, and 0.8, respectively.

[0072] Example 2:

[0073] Please see Figure 2 , Figure 2 This is a schematic diagram of the hardware device in operation according to an embodiment of the present invention. The hardware device specifically includes: a slope instability monitoring device 401 based on a tower base slope model, a processor 402, and a storage device 403.

[0074] A slope instability monitoring device 401 based on a tower-based slope model: The slope instability monitoring device 401 based on a tower-based slope model implements the slope instability monitoring method based on a tower-based slope model.

[0075] Processor 402: The processor 402 loads and executes the instructions and data in the storage device 403 to implement the slope instability monitoring method based on the tower base slope model.

[0076] Storage device 403: The storage device 403 stores instructions and data; the storage device 403 is used to implement the slope instability monitoring method based on the tower base slope model.

[0077] 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, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for monitoring slope instability based on a tower-base slope model, characterized in that: include: The method includes the following steps: S1. Based on the tower base slope model, perform image feature recognition and extraction processing on the tower base slope image signal data information under rainfall. Step S1 specifically includes the following steps: S11. Perform feature recognition processing on the image signal data of the tower base slope. Feature recognition processing includes tower base features, slope features, vegetation features, and floating object features recognition processing. S12. Based on the feature recognition processing results, perform region division processing, which includes tower base region, slope region, vegetation region and floating object region; S13. Based on the region division processing results, feature extraction processing is performed, including tower base features, slope features, vegetation features and floating object features; S2. Perform tower base slope calibration and area calculation on the results of feature recognition and extraction from the tower base slope image; S3. Based on the results of tower base slope calibration and area calculation, determine the degree of instability of the tower base slope and update the safety factor of the tower base slope. S4. Generate a tower base slope instability monitoring report based on the tower base slope instability status and the updated tower base slope safety factor.

2. The slope instability monitoring method based on a tower-base slope model as described in claim 1, characterized in that: The specific model of the tower base slope is as follows: A foundation model of the tower base slope is constructed based on the tower base structure, soil type, soil dry density, soil slope height, slope and length, and slope vegetation cover. Acquire image signal data of the tower base slope under different rainfall levels; Image feature extraction and processing were performed on the image signal data of the tower base slope under different rainfall levels. The safety factor of the tower base slope is updated based on the feature extraction and processing results of the tower base slope image. The foundation model of the tower base slope is trained based on rainfall data of different rainfall levels and the feature extraction and processing results of tower base slope images. If the model training result is different from the training sample result, the model training is re-performed; if the model training result is the same as the training sample result, the model training is completed.

3. The slope instability monitoring method based on a tower-base slope model as described in claim 1, characterized in that: Step S2 specifically includes the following steps: S21. Perform coordinate calibration on the image feature recognition and extraction results of the tower base slope; S22. Perform anomaly feature identification processing on the tower base slope image after coordinate calibration. The anomaly feature identification processing includes slope surface gully erosion features, tower base slope deformation features, slope surface vegetation damage features, tower base area soil loss features, and floating object features on the tower base slope. S23. Perform area calculation processing on the results of abnormal feature identification and processing of the tower base slope.

4. The slope instability monitoring method based on a tower-base slope model as described in claim 1, characterized in that: Step S3 specifically includes the following steps: S31. Based on the characteristics of floating objects on the tower base slope, the degree of soil erosion on the tower base slope is estimated according to the rainfall level and duration, which is used to determine the first-level impact of the tower base slope instability. S32. Based on the characteristic area of ​​vegetation damage on the slope surface and the characteristic area of ​​gully erosion on the slope surface, determine the degree of secondary impact of the instability of the tower base slope. S33. Determine the level of influence of the third-level instability of the tower base slope based on the deformation characteristic area of ​​the tower base slope; S34. Determine the level of impact of the fourth-level instability of the tower base slope based on the characteristics of soil loss in the tower base area; S35. Based on the first-level, second-level, third-level, and fourth-level impact of the tower base slope instability, update the safety factor of the tower base slope.

5. The slope instability monitoring method based on a tower-base slope model as described in claim 1, characterized in that: Step S4 specifically includes the following steps: S41. When the updated safety factor of the tower base slope is less than the first safety factor setting threshold, generate a tower base slope instability early warning report based on the tower base slope instability situation. S42. When the safety factor of the updated tower base slope is less than the second safety factor setting threshold, generate a tower base slope instability repair report based on the tower base slope instability situation. S43. When the updated safety factor of the tower base slope is less than the third safety factor threshold, a report on the risk of tower collapse due to tower base slope instability is generated based on the instability of the tower base slope.

6. A storage device, characterized in that: The storage device stores instructions and data for implementing the slope instability monitoring method based on the tower base slope model as described in any one of claims 1 to 5.

7. A slope instability monitoring device based on a tower-base slope model, characterized in that: include: A processor and a storage device; the processor loads and executes instructions and data in the storage device to implement the slope instability monitoring method based on a tower-base slope model as described in any one of claims 1 to 5.

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