CN-122015727-A - Method, device, equipment and storage medium for identifying space-time abnormal deformation zone of tailing pond

CN122015727ACN 122015727 ACN122015727 ACN 122015727ACN-122015727-A

Abstract

The application provides a method, a device, equipment and a storage medium for identifying a space-time abnormal deformation zone of a tailing pond, wherein the method comprises the steps of obtaining time sequence deformation monitoring data of each of a plurality of measuring points in a monitoring zone of the tailing pond in a preset period, obtaining a first deformation rate of each measuring point based on the time sequence deformation monitoring data, obtaining deformation rate difference values of each measuring point between at least two adjacent subperiods in the preset section, obtaining at least one first target measuring point set based on the first deformation rate and space distances between different measuring points, obtaining at least one second target measuring point set based on the deformation rate difference values and the space distances between different measuring points, determining at least one rapid deformation zone based on the at least one first target measuring point set, and determining at least one accelerating deformation zone based on the at least one second target measuring point set. By the technical scheme, the space-time abnormal deformation zone of the tailing pond can be accurately identified.

Inventors

LIU WENGANG
LIU WEICHEN
ZHU MAO
YANG RONG
GE CHUNQING
GAN YIXIONG
YANG WENGUANG
ZHU WENDE
SUN YUCHAO
SUN QIYAO

Assignees

煤炭科学研究总院有限公司
北京东方至远科技股份有限公司
湖南柿竹园有色金属有限责任公司

Dates

Publication Date: 20260512
Application Date: 20251217

Claims (10)

1. The method for identifying the space-time abnormal deformation zone of the tailing pond is characterized by comprising the following steps of: Acquiring time sequence deformation monitoring data of each measuring point in a plurality of measuring points in a tailing pond monitoring area within a preset period; Acquiring a first deformation rate of each measuring point based on the time sequence deformation monitoring data, and acquiring a deformation rate difference value of each measuring point between at least two adjacent subintervals in the preset section, wherein the ending time of the latter subinterval in the at least two adjacent subintervals is the ending time of the preset section; acquiring at least one first target measurement point set based on the first deformation rate and the spatial distance between different measurement points; Acquiring at least one second set of target measurement points based on the variability difference and the spatial distance between different measurement points; at least one rapid deformation zone is determined based on the at least one first set of target measurement points and at least one accelerated deformation zone is determined based on the at least one second set of target measurement points.
2. The method of claim 1, wherein the obtaining at least one first set of target measurement points based on the first deformation rate and a spatial distance between different measurement points comprises: acquiring a point, of the measurement points, of which the first deformation rate is greater than a first deformation rate threshold value as a first candidate measurement point; Acquiring a standard deviation of the first deformation rate of the first candidate measuring point as a deformation rate standard value; acquiring a first difference value between the deformation ratio standard value and the first deformation ratio threshold; And screening and polymerizing the first candidate measuring points based on the first difference value and the spatial distance to obtain at least one first target measuring point set, wherein the absolute value of the first deformation rate of the measuring points in each first target measuring point set is larger than the first difference value, and the spatial distance value between the measuring points in the same first target measuring point set is smaller than or equal to a first spatial distance threshold value.
3. The method of claim 1, wherein the obtaining at least one second set of target measurement points based on the variability difference and the spatial distance between different measurement points comprises: Acquiring a point, of the measurement points, of which the deformation rate difference value is larger than a preset threshold value as a second candidate measurement point; and screening and polymerizing the second candidate measuring points based on the spatial distance between the second candidate measuring points to obtain at least one second target measuring point set, wherein the spatial distance value between the measuring points in the same second target measuring point set is smaller than or equal to a second spatial distance threshold.
4. The method of claim 1, wherein said determining at least one rapid deformation region based on said at least one first set of target measurement points comprises: Determining at least one first candidate deformation zone based on the at least one first set of target measurement points, and determining at least one second candidate deformation zone based on the at least one second set of target measurement points; for each first candidate deformation zone, acquiring a first measurement point number of all the measurement points of the first candidate deformation zone; for each first candidate deformation zone, acquiring the number of second measurement points of the first target measurement point set in the first candidate deformation zone; and for each first candidate deformation zone, determining the first candidate deformation zone as the rapid deformation zone in response to the ratio of the number of second measurement points to the number of first measurement points being greater than a preset proportional threshold.
5. The method of claim 1, wherein the time series deformation monitoring data is time series InSAR data.
6. The device for identifying the space-time abnormal deformation zone of the tailing pond is characterized by comprising the following components: The acquisition module is used for acquiring time sequence deformation monitoring data of each measuring point in a plurality of measuring points in a tailing pond monitoring area in a preset period; The first processing module is used for acquiring a first deformation rate of each measuring point based on the time sequence deformation monitoring data and acquiring a deformation rate difference value of each measuring point between at least two adjacent subintervals in the preset section, wherein the ending time of the latter subinterval in the at least two adjacent subintervals is the ending time of the preset section; The second processing module is used for acquiring at least one first target measuring point set based on the first deformation rate and the space distance between different measuring points; The third processing module is used for acquiring at least one second target measuring point set based on the deformation rate difference value and the space distance between different measuring points; And a fourth processing module for determining at least one rapid deformation zone based on the at least one first set of target measurement points and at least one accelerated deformation zone based on the at least one second set of target measurement points.
7. The apparatus of claim 6, wherein the second processing module is specifically configured to: acquiring a point, of the measurement points, of which the first deformation rate is greater than a first deformation rate threshold value as a first candidate measurement point; Acquiring a standard deviation of the first deformation rate of the first candidate measuring point as a deformation rate standard value; acquiring a first difference value between the deformation ratio standard value and the first deformation ratio threshold; And screening and polymerizing the first candidate measuring points based on the first difference value and the spatial distance to obtain at least one first target measuring point set, wherein the absolute value of the first deformation rate of the measuring points in each first target measuring point set is larger than the first difference value, and the spatial distance value between the measuring points in the same first target measuring point set is smaller than or equal to a first spatial distance threshold value.
8. An electronic device comprising a processor and a memory communicatively coupled to the processor; The memory stores computer-executable instructions; the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-5.
9. A storage medium having instructions stored therein that, when executed on an electronic device, cause the electronic device to perform the method of any one of claims 1-5.
10. A program product comprising at least one of a program, instructions, which when executed by an electronic device, implement the steps of the method of any one of claims 1 to 5.

Description

Method, device, equipment and storage medium for identifying space-time abnormal deformation zone of tailing pond Technical Field The application relates to the technical field of geological monitoring, in particular to a method, a device, equipment and a storage medium for identifying a space-time abnormal deformation zone of a tailing pond. Background The tailing pond is used as a special place for storing tailings or industrial waste residues, and once dam break occurs, the local ecological environment and the life and property safety of residents can be seriously affected. Therefore, it is important to dynamically monitor the tailing pond dam and the peripheral surface of the tailing pond dam in long time sequence. And the space-time abnormal deformation monitoring is a key link for monitoring the tailing pond area. In the related art, deformation of a tailing pond area is monitored mainly through a level gauge, GNSS measurement and the like, so that the cost is high, and long-period monitoring requirements are difficult to meet. Disclosure of Invention The present application aims to solve at least one of the technical problems in the related art to some extent. The application provides a method for identifying a space-time abnormal deformation zone of a tailing pond, which comprises the steps of obtaining time sequence deformation monitoring data of each measuring point in a plurality of measuring points in a monitoring zone of the tailing pond in a preset period, obtaining a first deformation rate of each measuring point based on the time sequence deformation monitoring data, obtaining a deformation rate difference value of each measuring point between at least two adjacent subperiods in the preset zone, wherein the ending time of a later subperiod in the at least two adjacent subperiods is the ending time of the preset zone, obtaining at least one first target measuring point set based on the first deformation rate and the space distance between different measuring points, obtaining at least one second target measuring point set based on the deformation rate difference value and the space distance between different measuring points, determining at least one rapid deformation zone based on the at least one first target measuring point set, and determining at least one acceleration zone based on the at least one second target measuring point set. In one implementation manner, the method comprises the steps of obtaining at least one first target measuring point set based on the first deformation rate and the space distance between different measuring points, wherein the first target measuring point set comprises the steps of obtaining points, of the measuring points, of which the first deformation rate is larger than a first deformation rate threshold value, as first candidate measuring points, obtaining standard deviations of the first deformation rates of the first candidate measuring points as deformation rate standard values, obtaining first difference values of the deformation rate standard values and the first deformation rate threshold value, screening and polymerizing the first candidate measuring points based on the first difference values and the space distance to obtain at least one first target measuring point set, and the absolute value of the first deformation rate of each measuring point in the first target measuring point set is larger than the first difference value, and the space distance value between the measuring points of the same first target measuring point set is smaller than or equal to the first space distance threshold value. In one implementation manner, the obtaining at least one second target measurement point set based on the deformation rate difference and the spatial distances between different measurement points includes obtaining points, among the measurement points, where the deformation rate difference is greater than a preset threshold, as second candidate measurement points, and screening and polymerizing the second candidate measurement points based on the spatial distances between the second candidate measurable points to obtain at least one second target measurement point set, where the spatial distance value between measurement points in the same second target measurement point set is less than or equal to a second spatial distance threshold. In one implementation, the determining at least one rapid deformation region based on the at least one first target set of measurement points includes determining at least one first candidate deformation region based on the at least one first target set of measurement points and determining at least one second candidate deformation region based on the at least one second target set of measurement points and determining at least one second candidate deformation region, for each of the first candidate deformation regions, obtaining a first number of measurement points for all of the measurement points of the first candidat