CN116183624A - Construction area downhill slag sliding monitoring method, system and storage medium - Google Patents
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Abstract
The invention relates to the field of downhill slag slip monitoring, in particular to a method, a system and a storage medium for monitoring downhill slag slip in a construction area. The invention provides a construction area downhill slag sliding monitoring method, which evaluates construction disturbance areas through elevation data and texture analysis results of satellite images respectively, and identifies the construction disturbance areas, in which the elevation difference and the texture analysis results of the satellite images are in accordance with downhill slag sliding conditions, as suspected downhill slag sliding areas, thereby realizing monitoring of the construction disturbance areas from two different directions, improving the accuracy of remote judgment of the construction disturbance areas, and solving the problems that the downhill slag sliding monitoring is difficult and cannot be predicted in the prior art.
Description
Technical Field
The invention relates to the field of downhill slag slip monitoring, in particular to a method, a system and a storage medium for monitoring downhill slag slip in a construction area.
Background
The power transmission and transformation project has the characteristics of wide coverage range, long transmission distance and complex topography of a power transmission corridor, and inevitably passes through various mountain areas where people are rare. When the power transmission and transformation project is built in the mountain area, if the residual soil is improperly disposed, the smooth slag is extremely easy to form along the slope, so that water and soil loss is caused, and the project acceptance is affected.
At present, no prevention means exists for sliding slag along a slope, manual inspection is only performed, time and labor are wasted, and working experience is seriously relied on. The inspection mode of the unmanned aerial vehicle can save time compared with manual inspection, but because of no reliable data support, intelligent identification of the downhill slag is difficult to realize, images can only be manually checked, and a great amount of time is spent for judging the downhill slag sliding condition of each tower according to experience.
Meanwhile, the existing monitoring technology is usually 'post-hoc' monitoring, namely, the existing monitoring technology can be recognized by human eyes after the downhill slag sliding occurs and is serious to a certain extent, and the existing monitoring technology cannot be timely predicted when the downhill slag sliding degree is light.
Based on the problems, a large-scale precise monitoring mode for the smooth slag on a downhill is urgently needed at present.
Disclosure of Invention
In order to solve the defect of difficult monitoring of the forward-slope slag in the prior art, the invention provides a method for monitoring the forward-slope slag in a construction area, which is based on a multi-source remote sensing technology, realizes accurate detection of the forward-slope slag, can predict in time when the forward-slope slag sliding trend appears, and improves the power transmission and transformation engineering management level.
The invention adopts the following technical scheme:
a construction area downhill slag sliding monitoring method comprises the following steps:
s1, acquiring the elevation of each pixel point of a construction disturbance area by combining a satellite image, and recording the difference value between the highest point and the lowest point of the construction disturbance area as an elevation difference; screening a construction disturbance area with the elevation difference larger than a set elevation threshold value to be marked as a downhill slag slipping easy-to-occur area;
s2, acquiring a construction disturbance area by combining the satellite image, performing texture analysis on the satellite image, and screening a suspected downhill slag sliding area from the construction disturbance area by combining the set priori conditions;
s3, acquiring a construction disturbance area which belongs to a suspected downhill slag sliding area and a downhill slag sliding easy area at the same time, and identifying the construction disturbance area as the downhill slag sliding area.
Preferably, the screening of the downhill slag sliding easy occurrence area in the S1 specifically comprises the following steps:
s11, acquiring satellite images, summarizing the satellite images with the satellite image overlapping degree larger than a set similarity threshold value into a group, and constructing a DEM model corresponding to each three-dimensional relative for each group of satellite images;
s12, extracting a construction disturbance area by combining satellite images in corresponding stereo image pairs aiming at each DEM model;
s13, acquiring the corresponding elevation of each pixel point in the construction disturbance area on the satellite image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area;
s14, screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value to be a downhill slag sliding easy-occurrence area.
Preferably, in S11, the satellite image with the highest definition is selected as the target image for each group of satellite images, then the target image and the satellite image with the highest overlapping degree with the target image in the group form a stereopair, and the DEM model is constructed by combining the stereopair and adopting the principle of analytic aerial triangulation.
Preferably, the similarity threshold set in S11 is 53% or more.
Preferably, the similarity threshold set in S11 is 60%.
Preferably, S1 specifically comprises the following steps;
s11', extracting a construction disturbance area from the satellite image, and acquiring the satellite image which contains the construction disturbance area and has the highest definition as a target image;
s12', screening satellite images with highest overlapping degree with the target images and larger than a set similarity threshold value to form a stereopair with the target images, and constructing a DEM model by combining the stereopair and adopting an analytic aerial triangulation principle;
s13', aiming at each construction disturbance area, determining the corresponding elevation of each pixel point in the construction disturbance area in the target image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area;
s14', screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value, and marking the construction disturbance area as a downhill slag sliding easy-occurrence area.
Preferably, step S2 specifically includes: and acquiring a satellite image which comprises the construction disturbance area and has the highest definition as a target image, performing texture analysis on the target image, and screening a suspected downhill slag sliding area from the construction disturbance area by combining with a set priori condition.
The invention also provides a construction area downhill slag sliding monitoring system and a storage medium, which are used for bearing the construction area downhill slag sliding monitoring method.
The system is characterized by comprising a storage module and a processor, wherein the storage module is used for storing a computer program, the processing module is connected with the storage module, and the processing module is used for executing the computer program so as to realize the construction area downhill slag sliding monitoring method.
Preferably, the system further comprises an image acquisition module, wherein the processor is connected with the image processing module, and the image processing module is used for acquiring satellite images and transmitting the satellite images to the processor.
A storage medium, wherein a computer program is stored in the storage medium, and the computer program is used for realizing the construction area downhill slag slip monitoring method when being executed.
The invention has the advantages that:
(1) In the method for monitoring the downhill slag in the construction area, the construction disturbance area is estimated through the elevation data and the texture analysis result of the satellite image, and the construction disturbance area, in which the elevation difference and the texture analysis result of the satellite image are in accordance with the downhill slag sliding condition, is identified as a suspected downhill slag sliding area, so that the construction disturbance area is monitored from two different directions, and the accuracy of remote judgment of the construction disturbance area is improved.
(2) In the invention, the elevation difference is inherent data of the soil slope, and the priori condition can be set by combining the data of the soil slope which has generated forward slope sliding slag at any stage before the forward slope sliding slag degree reaches the human eye recognizable level, so that the forward slope sliding slag condition can be predicted. Therefore, the invention not only can solve the problems of time and labor waste and dependence on experience of manual identification, but also can change the 'post' identification of the smooth slag along the slope into 'in-the-event' pre-judgment, and improve the management level of the construction disturbance area.
(3) In the invention, firstly, the range of the construction disturbance area on the satellite image is determined, then the elevations are marked on the DEM model one by taking the pixel points as units, thereby improving the reliability and the precision of the elevation data extraction and ensuring the precision of the elevation difference calculation. The elevation data is obtained by combining with the DEM model, and is accurate and reliable.
(4) The satellite image with the highest definition, namely the satellite image with the highest coincidence degree, is selected to form the stereopair used for establishing the DEM model, so that the quality of the DEM model is ensured, and the reliability of elevation data is further ensured. The higher the similarity threshold is, the higher the quality of the DEM model is, and the similarity threshold is set to 53-60%, so that the reliability of satellite image pairing is ensured while the quality of the DEM is ensured, and the situation that pairing cannot be performed is avoided.
(5) In one embodiment of the invention, the computer intelligently judges the overlapping degree of the satellite images, classifies the satellite images according to the overlapping degree to form a plurality of satellite image groups, and acquires the clearest satellite image and the satellite image with the highest overlapping degree with the clearest satellite image from each group of satellite images to form a stereoscopic pair so as to construct the DEM model. At this time, the construction of the DEM model is completely executed by a computer, then the construction interference area is manually extracted from the satellite image with the clearest stereo image pair, and then the elevation data is acquired by combining the DEM model. It can be seen that example 1 minimizes manual work and has low labor costs.
(6) In another embodiment of the invention, first, the target image is manually screened, and the computer screens the satellite image with the highest overlapping degree according to the target image to construct the DEM model corresponding to each construction disturbance area. Through the manual screening in the earlier stage, subsequent calculation work is greatly reduced, and the computer processing efficiency is improved.
(7) According to the invention, texture analysis is performed on the satellite image with highest definition corresponding to the construction disturbance range, so that the accuracy of judging the suspected downhill slag sliding region is ensured, and the adverse effect of external factors such as image blurring on a judging result is avoided.
(8) The system and the storage medium for monitoring the downhill sliding slag of the construction area provide a carrier for the method for monitoring the downhill sliding slag of the construction area, and are convenient for popularization and application of the method for monitoring the downhill sliding slag of the construction area.
Drawings
FIG. 1 is a flow chart of a method for monitoring the sliding slag in a downhill of a construction area;
FIG. 2 is a flow chart of a method for screening a smooth slag easy-occurrence area on a downhill;
FIG. 3 is a flow chart of another method for screening a smooth slag easy-occurrence area on a downhill.
Detailed Description
Example 1
Referring to fig. 1 and 2, the method for monitoring the sliding slag in the downhill of the construction area according to the present embodiment includes the following steps S1 to S3.
S1, screening a downhill slag sliding easy area from a construction disturbance area by combining the following steps S11 to S14.
S11, acquiring satellite images, summarizing the satellite images with the satellite image overlapping degree larger than a set similarity threshold value into a group, and constructing a DEM model corresponding to each three-dimensional relative for each group of satellite images; in the implementation, in this step, the satellite image with the highest definition can be selected as the target image for each group of satellite images, then the target image and the satellite image with the highest overlapping degree with the target image in the group form a stereopair, and the DEM model is constructed by combining the stereopair and adopting the principle of analytic aerial triangulation.
S12, extracting a construction disturbance area by combining satellite images in corresponding stereo image pairs aiming at each DEM model; the method can be used for manually judging the clear satellite image in the stereoscopic image pair to extract the construction disturbance area.
S13, acquiring the corresponding elevation of each pixel point in the construction disturbance area on the satellite image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area.
S14, screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value to be a downhill slag sliding easy-occurrence area.
S2, acquiring a construction disturbance area by combining the satellite image, performing texture analysis on the satellite image, and screening a suspected downhill slag sliding area from the construction disturbance area by combining the set priori conditions.
In particular, the a priori conditions may be empirically set.
In the specific implementation, in the step, satellite images can be identified manually to obtain the satellite image with highest definition corresponding to each construction disturbance area as a target image corresponding to the construction disturbance area, then texture analysis is carried out on the target image, and the construction disturbance area corresponding to the target image with the analysis result meeting the prior condition is marked as a suspected downhill slag sliding area.
S3, acquiring a construction disturbance area which belongs to a suspected downhill slag sliding area and a downhill slag sliding easy area at the same time, and identifying the construction disturbance area as the downhill slag sliding area.
In the embodiment, the construction disturbance area is evaluated through the elevation data and the texture analysis result of the satellite image respectively, and the construction disturbance area, in which the elevation difference and the texture analysis result of the satellite image both accord with the downhill slag sliding situation, is identified as the suspected downhill slag sliding area, so that the construction disturbance area is monitored from two different directions, and the accuracy of remote judgment of the construction disturbance area is improved.
In this embodiment, the elevation data is obtained in combination with the DEM model, and the accuracy is high. Meanwhile, in the embodiment, the range of the construction disturbance area on the satellite image is firstly determined, then the elevations are marked on the DEM model one by taking the pixel points as units, the reliability and the precision of elevation data extraction are improved, and the accuracy of elevation difference calculation is ensured.
Example 2
Referring to fig. 3, with respect to example 1, the downhill slag-sliding easy-occurrence area in this example is obtained by the following steps S11 'to S14'.
S11', extracting a construction disturbance area from the satellite image, and acquiring the satellite image which contains the construction disturbance area and has the highest definition as a target image. Specifically, the target image may be identified manually.
S12', screening satellite images with highest overlapping degree with the target images to form a stereopair with the target images, and constructing a DEM model by combining the stereopair and adopting an analytic air triangulation principle. It should be noted that, in this step, the overlapping degree of the two satellite images in the stereo pair must be greater than or equal to the set similarity threshold, and the similarity threshold may be set to be 53% or greater than 53%. If the overlapping degree of the satellite images with the target images does not reach the similarity threshold value, the target images need to be screened again, or the satellite images with the overlapping degree reaching the similarity threshold value with the target images are selected from more satellite images.
S13', aiming at each construction disturbance area, determining the corresponding elevation of each pixel point in the construction disturbance area in the target image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area.
S14', screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value, and marking the construction disturbance area as a downhill slag sliding easy-occurrence area.
In embodiment 1, first, the computer intelligently determines the overlapping degree of the satellite images, classifies the satellite images according to the overlapping degree to form a plurality of satellite image groups, and then acquires the sharpest satellite image and the satellite image with the highest overlapping degree with the sharpest satellite image from each group of satellite images to form a stereoscopic pair, thereby constructing the DEM model. It can be seen that in embodiment 1, the construction of the DEM model is completely performed by a computer, then the construction interference area is manually extracted from the satellite image with the clearest stereo image pair, and then the elevation data is obtained by combining with the DEM model. It can be seen that example 1 minimizes manual work and has low labor costs.
In embodiment 2, first, a target image is manually screened, and a computer screens satellite images with highest overlapping degree according to the target image to construct a DEM model corresponding to each construction disturbance area. Through the manual screening in the earlier stage, subsequent calculation work is greatly reduced, and the computer processing efficiency is improved.
In embodiments 1-2, at least half of the image features are required to overlap when selecting satellite images with high overlap ratio, and the similarity threshold may be set to 53% or 60% when the method is implemented.
Example 3
In this embodiment, the method for monitoring the downhill slag in the construction area provided in embodiment 1 above is verified in combination with a specific application scenario. In the present embodiment, the similarity threshold is set to 53.
In this embodiment, the setting manner of the priori condition is: selecting 10 base towers with downhill slag sliding, and selecting satellite images of the 10 base towers 10 days before the downhill slag sliding is found by manual inspection for the first time as prior images; and acquiring the clearest prior images corresponding to the base towers, and performing texture analysis to acquire the common texture characteristics of the 10 clearest prior images as prior conditions.
Experiments are conducted on 259 base towers of a certain power transmission and transformation line, satellite images of a certain time period in construction of each base tower are first obtained, and 4 base towers are judged to have downhill slag by inspection staff with abundant experience when the satellite images are collected.
In this embodiment, the above embodiment 1 is adopted to combine with the collected satellite images to respectively determine the construction disturbance areas of the foundation towers. In the embodiment, 17 foundation tower construction disturbance areas are screened out as downhill slag easy-to-occur areas according to elevation data, 5 foundation tower construction disturbance areas are screened out as suspected downhill slag easy-to-occur areas according to satellite image texture analysis results, and the 5 suspected downhill slag easy-to-occur areas belong to the downhill slag easy-to-occur areas; wherein 4 base towers in which downhill slag sliding actually occurs are covered by 5 suspected downhill slag sliding areas.
Therefore, in the construction area downhill slag sliding monitoring method provided by the invention, all downhill slag sliding areas are identified in the embodiment, and the coincidence degree of the identification result and the actual situation is up to 80%, so that the reliability of the remote monitoring of the downhill slag sliding is proved.
The above embodiments are merely preferred embodiments of the present invention and are not intended to limit the present invention, and any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The method for monitoring the smooth slag in the downhill of the construction area is characterized by comprising the following steps of:
s1, acquiring the elevation of each pixel point of a construction disturbance area by combining a satellite image, and recording the difference value between the highest point and the lowest point of the construction disturbance area as an elevation difference; screening a construction disturbance area with the elevation difference larger than a set elevation threshold value to be marked as a downhill slag slipping easy-to-occur area;
s2, acquiring a construction disturbance area by combining the satellite image, performing texture analysis on the satellite image, and screening a suspected downhill slag sliding area from the construction disturbance area by combining the set priori conditions;
s3, acquiring a construction disturbance area which belongs to a suspected downhill slag sliding area and a downhill slag sliding easy area at the same time, and identifying the construction disturbance area as the downhill slag sliding area.
2. The method for monitoring the forward-slope slag sliding in the construction area according to claim 1, wherein the screening of the forward-slope slag sliding easy-occurrence area in the S1 specifically comprises the following steps:
s11, acquiring satellite images, summarizing the satellite images with the satellite image overlapping degree larger than a set similarity threshold value into a group, and constructing a DEM model corresponding to each three-dimensional relative for each group of satellite images;
s12, extracting a construction disturbance area by combining satellite images in corresponding stereo image pairs aiming at each DEM model;
s13, acquiring the corresponding elevation of each pixel point in the construction disturbance area on the satellite image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area;
s14, screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value to be a downhill slag sliding easy-occurrence area.
3. The method for monitoring the downhill slag in the construction area according to claim 2, wherein in S11, the satellite image with the highest definition is selected as the target image for each group of satellite images, then the target image and the satellite image with the highest overlapping degree with the target image in the group form a stereopair, and the DEM model is constructed by combining the stereopair and adopting the principle of analytic aerial triangulation.
4. The method for monitoring the forward-slope slag running in the construction area according to claim 2, wherein the similarity threshold set in S11 is greater than or equal to 53%.
5. The method for monitoring the forward-slope slag running in a construction area according to claim 4, wherein the similarity threshold set in S11 is 60%.
6. The method for monitoring the smooth slag in the downhill of a construction area according to claim 1, wherein the step S1 comprises the following steps of;
s11', extracting a construction disturbance area from the satellite image, and acquiring the satellite image which contains the construction disturbance area and has the highest definition as a target image;
s12', screening satellite images with highest overlapping degree with the target images and larger than a set similarity threshold value to form a stereopair with the target images, and constructing a DEM model by combining the stereopair and adopting an analytic aerial triangulation principle;
s13', aiming at each construction disturbance area, determining the corresponding elevation of each pixel point in the construction disturbance area in the target image on the corresponding DEM model, extracting the maximum value and the minimum value in the elevation, and calculating the difference value between the maximum value and the minimum value as an evaluation threshold value of the construction disturbance area;
s14', screening a construction disturbance area with a corresponding evaluation threshold value larger than a set slag sliding threshold value, and marking the construction disturbance area as a downhill slag sliding easy-occurrence area.
7. The method for monitoring the forward slope slag in the construction area according to claim 1, wherein the step S2 is specifically as follows: and acquiring a satellite image which comprises the construction disturbance area and has the highest definition as a target image, performing texture analysis on the target image, and screening a suspected downhill slag sliding area from the construction disturbance area by combining with a set priori condition.
8. A construction area downhill slag monitoring system, comprising a storage module and a processor, wherein the storage module is used for storing a computer program, the processing module is connected with the storage module, and the processing module is used for executing the computer program to realize the construction area downhill slag monitoring method according to any one of claims 1-7.
9. The construction site downhill slag monitoring system of claim 8, further comprising an image acquisition module, the processor being coupled to the image processing module, the image processing module being configured to acquire satellite images and transmit the satellite images to the processor.
10. A storage medium having stored therein a computer program which, when executed, is adapted to carry out the construction zone downhill slag monitoring method of any one of claims 1-7.
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| CN112598881A (en) * | 2020-12-03 | 2021-04-02 | 中煤航测遥感集团有限公司 | Geological disaster monitoring method and device and computer equipment |
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| CN113537018A (en) * | 2021-07-05 | 2021-10-22 | 国网安徽省电力有限公司铜陵供电公司 | Water and soil conservation monitoring method based on multi-temporal satellite remote sensing and unmanned aerial vehicle technology |
| CN113885025A (en) * | 2021-09-03 | 2022-01-04 | 宁夏大学 | Landslide deformation monitoring method and visual service platform |
| CN113642544A (en) * | 2021-10-14 | 2021-11-12 | 中国测绘科学研究院 | InSAR deformation information-based method and system for automatically extracting suspected disaster hidden danger area |
| CN114820552A (en) * | 2022-05-11 | 2022-07-29 | 中国地质环境监测院(自然资源部地质灾害技术指导中心) | Method for detecting landslide displacement field by using optical satellite stereo image |
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