Reservoir structure monitoring method and system based on distributed and multi-dimensional mode combination

Abstract

This invention provides a reservoir structure monitoring method and system based on a combination of distributed and multi-dimensional modes. By conducting distributed geological state detection and distributed soil state detection of the reservoir area, it continuously obtains geological structure and soil state information of the reservoir area over a long period of time. This facilitates a comprehensive assessment of whether geological instability events have occurred at each location point, thereby promptly identifying structural risk areas and deformation information of the reservoir itself. This allows for accurate judgment of whether the reservoir has a risk of structural collapse and timely generation of alarm notification messages. It enables a comprehensive understanding of the dynamic changes in the reservoir structure and improves the reliability of reservoir structure monitoring.

Description

Technical Field

[0001] This invention relates to the technical field of geological monitoring, and in particular to a method and system for monitoring reservoir structures based on a combination of distributed and multidimensional models. Background Technology

[0002] Reservoirs typically cover a large area. To continuously monitor their structure, drones or satellites are usually used to photograph the entire reservoir. The resulting images are then analyzed to identify structural problems. While these methods can obtain a comprehensive image of the reservoir in a short time, limitations in the large area and image resolution prevent detailed analysis of each specific region, thus reducing the accuracy of structural monitoring. Furthermore, drones and satellites cannot continuously photograph reservoirs for extended periods, hindering a comprehensive understanding of dynamic changes in the reservoir structure. This reduces the reliability of structural monitoring and prevents timely warnings of potential structural safety hazards. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a reservoir structure monitoring method and system based on a combination of distributed and multi-dimensional modes. It performs distributed geological state detection and distributed soil state detection on the reservoir area to obtain geological structure and soil state information at different locations. This information is used to determine whether geological instability events have occurred at these locations, thereby estimating and identifying structural risk areas within the reservoir. Images of the reservoir corresponding to these risk areas are collected and analyzed to obtain deformation information. Based on this deformation information, the system determines whether the reservoir faces structural collapse risk and generates corresponding alarm notification messages. By performing distributed geological and soil state detection on the reservoir area, this system continuously obtains geological structure and soil state information over a long period, facilitating a comprehensive assessment of whether geological instability events have occurred at each location. This allows for timely identification of structural risk areas and their deformation information within the reservoir, accurately determining whether structural collapse risk exists and generating timely alarm notification messages. This comprehensive approach to monitoring the dynamic changes in the reservoir structure improves the reliability of reservoir structure monitoring.

[0004] This invention provides a reservoir structure monitoring method based on a combination of distributed and multi-dimensional models, comprising the following steps:

[0005] Step S1: Perform distributed geological state detection on the reservoir area to obtain geological structure state information at different locations in the reservoir area; perform distributed soil state detection on the reservoir area to obtain soil state information at different locations in the reservoir area; and determine whether a geological instability event has occurred at the corresponding location based on the geological structure state information and soil state information at the same location.

[0006] Step S2: Based on the distribution information of all locations where geological structural instability events have occurred, estimate and determine the structural risk areas existing in the reservoir itself; collect images of the reservoir corresponding to the structural risk areas, analyze and process the images to obtain the deformation information of the structural risk areas;

[0007] Step S3: Based on the deformation information of all structural risk areas, determine whether the reservoir has a structural collapse risk; based on the determination result of the structural collapse risk, generate a corresponding alarm notification message.

[0008] Further, in step S1, distributed geological state detection is performed on the reservoir area to obtain geological structure state information at different locations within the reservoir area; distributed soil state detection is performed on the reservoir area to obtain soil state information at different locations within the reservoir area, including:

[0009] The area where the reservoir is located is divided into several grid sub-regions. Distributed geological state detection is performed on all grid sub-regions to obtain the geological structure settlement state information of the geometric center point of each grid sub-region. The geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point over a preset time period.

[0010] Distributed soil condition detection is performed on all grid sub-regions to obtain the soil moisture content at the geometric center point of each gateway sub-region, which is used as the soil condition information.

[0011] Furthermore, in step S1, based on the geological structure state information and soil state information at the same location point, it is determined whether a geological instability event has occurred at the corresponding location point, including:

[0012] If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

[0013] Further, in step S3, based on the distribution information of all locations where geological instability events have occurred, the structural risk areas existing in the reservoir itself are estimated and determined; images of the reservoir corresponding to the structural risk areas are acquired, and the images are analyzed and processed to obtain the deformation information of the structural risk areas, including:

[0014] Based on the distribution information of the geometric center locations of all geologically unstable events and their respective grid sub-regions, the relative distance between the corresponding geometric center locations and the reservoir is determined.

[0015] Based on the relative distance, determine the actual number of geometric center locations of geologically unstable events within a preset radius of a certain area of ​​the reservoir; and determine the actual total area of ​​the grid sub-regions where geologically unstable events occur within the preset radius.

[0016] If the actual quantity is greater than or equal to the first preset quantity threshold, or the actual total area is greater than or equal to the preset area threshold, then the area corresponding to the reservoir is determined as an area with structural risk.

[0017] Dynamic images of the reservoir corresponding to the structural risk area are collected over a preset time period; the dynamic images are processed into frames to obtain several image frames; the reservoir part deformation is identified in each image frame to obtain the corresponding reservoir part deformation; based on the reservoir part deformation of all image frames, the total deformation amplitude and the rate of change of the reservoir part deformation amplitude within the preset time period are determined as deformation information of the structural risk area.

[0018] Furthermore, in step S4, based on the deformation information of all structural risk areas, it is determined whether the reservoir faces a structural collapse risk; based on the determination result of the structural collapse risk, a corresponding alarm notification message is generated, including:

[0019] If the total deformation amplitude of the reservoir portion in the structural risk area is greater than a preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir portion is greater than a preset rate of change threshold, then the structural risk area is determined to belong to the structural collapse area.

[0020] Determine whether the number of structural collapse areas corresponding to the reservoir is greater than a second preset threshold. If yes, then determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk.

[0021] When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

[0022] This invention also provides a reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes, comprising:

[0023] The distributed geological condition detection module is used to perform distributed geological condition detection in the reservoir area to obtain geological structure status information at different locations in the reservoir area;

[0024] A distributed soil condition detection module is used to perform distributed soil condition detection in the area where the reservoir is located, and to obtain soil condition information at different locations in the area where the reservoir is located.

[0025] The geological structure stability judgment module is used to determine whether a geological structure instability event has occurred at the corresponding location point based on the geological structure state information and soil state information at the same location point.

[0026] The reservoir structural risk area determination module is used to estimate and determine the structural risk area of ​​the reservoir itself based on the distribution information of all locations where geological structural instability events have occurred.

[0027] The reservoir image acquisition and analysis module is used to acquire images of the reservoir corresponding to the structural risk area, analyze and process the images, and obtain deformation information of the structural risk area.

[0028] The alarm notification module is used to determine whether there is a structural collapse risk in the reservoir based on the deformation information of all structural risk areas; and to generate a corresponding alarm notification message based on the determination result of the structural collapse risk.

[0029] Furthermore, the distributed geological state detection module is used to perform distributed geological state detection in the reservoir area to obtain geological structure state information at different locations within the reservoir area, including:

[0030] Distributed geological state detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain geological structure settlement state information at the geometric center point of each grid sub-region; wherein, the geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point over a preset time period;

[0031] The distributed soil condition detection module is used to perform distributed soil condition detection in the reservoir area, obtaining soil condition information at different locations within the reservoir area, including:

[0032] Distributed soil condition detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain the soil moisture content at the geometric center point of each gateway sub-region, which is used as the soil condition information.

[0033] Furthermore, the geological structure stability determination module is used to determine whether a geological structure instability event has occurred at a corresponding location point based on the geological structure state information and soil state information at the same location point, including:

[0034] If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

[0035] Furthermore, the reservoir structural risk area determination module is used to estimate and determine the structural risk areas existing in the reservoir itself based on the distribution information of all locations where geological structural instability events have occurred, including:

[0036] Based on the distribution information of the geometric center locations of all geologically unstable events and their respective grid sub-regions, the relative distance between the corresponding geometric center locations and the reservoir is determined.

[0037] Based on the relative distance, determine the actual number of geometric center locations of geologically unstable events within a preset radius of a certain area of ​​the reservoir; and determine the actual total area of ​​the grid sub-regions where geologically unstable events occur within the preset radius.

[0038] If the actual quantity is greater than or equal to the first preset quantity threshold, or the actual total area is greater than or equal to the preset area threshold, then the area corresponding to the reservoir is determined as an area with structural risk.

[0039] The reservoir image acquisition and analysis module is used to acquire images of the reservoir corresponding to the structural risk area, analyze and process the images to obtain deformation information of the structural risk area, including:

[0040] Dynamic images of the reservoir corresponding to the structural risk area are collected over a preset time period; the dynamic images are processed into frames to obtain several image frames; the reservoir part deformation is identified in each image frame to obtain the corresponding reservoir part deformation; based on the reservoir part deformation of all image frames, the total deformation amplitude and the rate of change of the reservoir part deformation amplitude within the preset time period are determined as deformation information of the structural risk area.

[0041] Furthermore, the alarm notification module is used to determine whether the reservoir has a structural collapse risk based on the deformation information of all structural risk areas; and to generate a corresponding alarm notification message based on the determination result of the structural collapse risk, including:

[0042] If the total deformation amplitude of the reservoir portion in the structural risk area is greater than a preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir portion is greater than a preset rate of change threshold, then the structural risk area is determined to belong to the structural collapse area.

[0043] Determine whether the number of structural collapse areas corresponding to the reservoir is greater than a second preset threshold. If yes, then determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk.

[0044] When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

[0045] Compared to existing technologies, this reservoir structure monitoring method and system, based on a combination of distributed and multi-dimensional modes, performs distributed geological state detection and distributed soil state detection in the reservoir area. This obtains geological structure and soil state information at different locations, allowing for the determination of whether geological instability events have occurred at those locations. It then estimates and identifies structural risk areas within the reservoir, collects and analyzes images corresponding to these risk areas, and obtains deformation information. Based on this deformation information, it determines whether the reservoir faces structural collapse risk and generates corresponding alarm notification messages. By performing distributed geological and soil state detection over a long period, it continuously obtains geological structure and soil state information for the reservoir area, facilitating a comprehensive assessment of whether geological instability events have occurred at each location. This allows for timely identification of structural risk areas and their deformation information within the reservoir, accurately determining whether structural collapse risk exists and generating timely alarm notification messages. This comprehensive approach enhances the reliability of reservoir structure monitoring by providing a complete understanding of the dynamic changes in the reservoir structure.

[0046] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating the reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes provided by the present invention.

[0050] Figure 2 A schematic diagram of the reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes provided by the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] See Figure 1 This is a flowchart illustrating the reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes provided in an embodiment of the present invention. The reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes includes the following steps:

[0053] Step S1: Conduct distributed geological state detection in the reservoir area to obtain geological structure state information at different locations in the reservoir area; conduct distributed soil state detection in the reservoir area to obtain soil state information at different locations in the reservoir area; and determine whether a geological instability event has occurred at the corresponding location based on the geological structure state information and soil state information at the same location.

[0054] Step S2: Based on the distribution information of all locations where geological structural instability events have occurred, estimate and determine the structural risk area of ​​the reservoir itself; collect images of the reservoir corresponding to the structural risk area, analyze and process the images to obtain the deformation information of the structural risk area;

[0055] Step S3: Based on the deformation information of all structural risk areas, determine whether there is a risk of structural collapse in the reservoir; based on the determination of the structural collapse risk, generate a corresponding alarm notification message.

[0056] The beneficial effects of the above technical solution are as follows: This reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes performs distributed geological state detection and distributed soil state detection in the reservoir area to obtain geological structure state information and soil state information at different locations. This allows for the determination of whether geological instability events have occurred at these locations, and subsequently, the estimation and identification of structural risk areas within the reservoir itself. Images of the reservoir corresponding to these structural risk areas are collected and analyzed to obtain deformation information. Based on the deformation information, the method determines whether the reservoir faces structural collapse risk and generates corresponding alarm notification messages. By performing distributed geological state detection and distributed soil state detection in the reservoir area, this method continuously obtains geological structure state information and soil state information over a long period, facilitating a comprehensive assessment of whether geological instability events have occurred at each location. This allows for the timely identification of structural risk areas and their deformation information within the reservoir, thereby accurately determining whether the reservoir faces structural collapse risk and generating timely alarm notification messages. This comprehensive approach allows for a thorough understanding of the dynamic changes in the reservoir structure and improves the reliability of reservoir structure monitoring.

[0057] Preferably, in step S1, distributed geological state detection is performed on the area where the reservoir is located to obtain geological structure state information at different locations within the reservoir area; distributed soil state detection is performed on the area where the reservoir is located to obtain soil state information at different locations within the reservoir area, including:

[0058] The area where the reservoir is located is divided into several grid sub-regions. Distributed geological state detection is performed on all grid sub-regions to obtain the geological structure settlement state information of the geometric center point of each grid sub-region. The geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point over a preset time period.

[0059] Distributed soil condition detection is performed on all grid sub-regions to obtain the soil moisture content at the geometric center of each gateway sub-region, which is then used as the soil condition information.

[0060] The beneficial effects of the above technical solution are as follows: In practical work, the area where the reservoir is located can first be divided into several grid sub-regions, each with the same area, thus achieving equal area division of the reservoir area. Then, distributed geological condition detection and distributed soil condition detection are performed on all grid sub-regions. This can be achieved by setting up distributed geological condition detection equipment in the form of fiber optic grating sensors and distributed condition detection equipment in the form of soil moisture sensors. A fiber optic grating sensor and a soil moisture sensor are installed at the geometric center of each grid sub-region, allowing for synchronous geological and soil condition detection of each grid sub-region, thereby achieving comprehensive detection of the entire reservoir area.

[0061] Preferably, in step S1, based on the geological structure state information and soil state information at the same location point, it is determined whether a geological instability event has occurred at the corresponding location point, including:

[0062] If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

[0063] The beneficial effects of the above technical solution are as follows: by performing quantitative analysis and processing on the collected geological structure state information and soil state information in the above manner, it is possible to quickly and accurately determine whether the corresponding geometric center location point and the grid sub-region in which it is located have experienced geological structural instability events, thereby facilitating efficient and comprehensive identification and screening of all grid sub-regions and their geometric center location points.

[0064] Preferably, in step S3, based on the distribution information of all locations where geological instability events have occurred, the structural risk area of ​​the reservoir itself is estimated and determined; an image of the reservoir corresponding to the structural risk area is acquired, and the image is analyzed and processed to obtain the deformation information of the structural risk area, including:

[0065] Based on the distribution information of the geometric center locations of all geologically unstable events and their respective grid sub-regions, the relative distance between the corresponding geometric center locations and the reservoir is determined.

[0066] Based on the relative distance, determine the actual number of geometric center points of geologically unstable events within a preset radius of a certain area of ​​the reservoir; and determine the actual total area of ​​the grid sub-regions of geologically unstable events within the preset radius.

[0067] If the actual quantity is greater than or equal to the first preset quantity threshold, or the actual total area is greater than or equal to the preset area threshold, then the area corresponding to the reservoir is determined as an area with structural risk.

[0068] Dynamic images of the reservoir corresponding to the structural risk area are collected within a preset time period; the dynamic images are segmented into frames to obtain several image frames; the deformation of the reservoir part is identified in each image frame to obtain the corresponding deformation of the reservoir part; based on the deformation of the reservoir part in all image frames, the total deformation amplitude and the rate of change of the deformation amplitude of the reservoir part within the preset time period are determined as deformation information of the structural risk area.

[0069] The beneficial effects of the above technical solution are as follows: First, the relative distance between the geometric center of the geological instability event and the reservoir is determined. This distance is then used to determine whether the actual number of geometric center points of the geological instability event within a preset radius of a certain area of ​​the reservoir is greater than or equal to a first preset threshold, or whether the actual total area of ​​the grid sub-regions of the geological instability event within the preset radius is greater than or equal to a preset area threshold. If so, it indicates that the area corresponding to the reservoir is a structural risk area. Furthermore, distributed camera equipment pre-installed in the reservoir area can be used to collect dynamic images of the reservoir and the structural risk area within a preset time period. Dynamic frame segmentation and recognition are then performed on the dynamic images to obtain the total deformation amplitude and the rate of change of deformation amplitude of the reservoir within the preset time period, facilitating the quantitative determination of the deformation situation of the structural risk area within the preset time period.

[0070] Preferably, in step S4, based on the deformation information of all structural risk areas, it is determined whether the reservoir has a structural collapse risk; based on the determination result of the structural collapse risk, a corresponding alarm notification message is generated, including:

[0071] If the total deformation amplitude of the reservoir section in the structural risk area exceeds the preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir section exceeds the preset rate of change threshold, then the structural risk area is identified as a structural collapse area.

[0072] Determine whether the number of structural collapse areas corresponding to the reservoir is greater than the second preset threshold. If so, determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk.

[0073] When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

[0074] The beneficial effects of the above technical solution are as follows: by using the above method, based on the total deformation amplitude and the rate of change of deformation amplitude of the reservoir in the structural risk area, the structural collapse areas corresponding to the reservoir are screened out. Then, based on the number of structural collapse areas, it is determined whether there is a structural collapse risk in the reservoir, thereby ensuring accurate alarm notification of the structural status of the reservoir.

[0075] See Figure 2 This is a flowchart illustrating a reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes, provided in an embodiment of the present invention. The reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes includes:

[0076] The distributed geological condition detection module is used to perform distributed geological condition detection in the reservoir area to obtain geological structure status information at different locations in the reservoir area;

[0077] The distributed soil condition detection module is used to perform distributed soil condition detection in the reservoir area to obtain soil condition information at different locations in the reservoir area.

[0078] The geological structure stability judgment module is used to determine whether a geological structure instability event has occurred at the corresponding location point based on the geological structure state information and soil state information at the same location point.

[0079] The reservoir structural risk area determination module is used to estimate and determine the structural risk area of ​​the reservoir itself based on the distribution information of all locations where geological structural instability events have occurred.

[0080] The reservoir image acquisition and analysis module is used to acquire images of the reservoir corresponding to the structural risk area, analyze and process the images, and obtain the deformation information of the structural risk area.

[0081] The alarm notification module is used to determine whether there is a risk of structural collapse in the reservoir based on the deformation information of all structural risk areas; and to generate a corresponding alarm notification message based on the determination of the structural collapse risk.

[0082] The beneficial effects of the above technical solution are as follows: This reservoir structure monitoring system, based on a combination of distributed and multi-dimensional modes, performs distributed geological state detection and distributed soil state detection in the reservoir area to obtain geological structure state information and soil state information at different locations. This allows for the determination of whether geological instability events have occurred at these locations, and subsequently, the estimation and identification of structural risk areas within the reservoir itself. Images of the reservoir corresponding to these risk areas are collected and analyzed to obtain deformation information. Based on this deformation information, the system determines whether the reservoir faces structural collapse risk and generates corresponding alarm notification messages. By performing distributed geological state detection and distributed soil state detection in the reservoir area, it continuously obtains geological structure state information and soil state information over a long period, facilitating a comprehensive assessment of whether geological instability events have occurred at each location. This allows for the timely identification of structural risk areas and their deformation information within the reservoir, accurately determining whether the reservoir faces structural collapse risk and generating timely alarm notification messages. This comprehensive understanding of the dynamic changes in the reservoir structure improves the reliability of reservoir structure monitoring.

[0083] Preferably, the distributed geological state detection module is used to perform distributed geological state detection in the area where the reservoir is located, obtaining geological structure state information at different locations within the reservoir area, including:

[0084] Distributed geological state detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain geological structure settlement state information at the geometric center point of each grid sub-region; wherein, the geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point at a preset time length;

[0085] This distributed soil condition detection module is used to perform distributed soil condition detection in the reservoir area, obtaining soil condition information at different locations within the reservoir area, including:

[0086] Distributed soil condition detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain the soil moisture content at the geometric center of each gateway sub-region, which is used as the soil condition information.

[0087] The beneficial effects of the above technical solution are as follows: In practical work, the area where the reservoir is located can first be divided into several grid sub-regions, each with the same area, thus achieving equal area division of the reservoir area. Then, distributed geological condition detection and distributed soil condition detection are performed on all grid sub-regions. This can be achieved by setting up distributed geological condition detection equipment in the form of fiber optic grating sensors and distributed condition detection equipment in the form of soil moisture sensors. A fiber optic grating sensor and a soil moisture sensor are installed at the geometric center of each grid sub-region, allowing for synchronous geological and soil condition detection of each grid sub-region, thereby achieving comprehensive detection of the entire reservoir area.

[0088] Preferably, the geological structure stability determination module is used to determine whether a geological structure instability event has occurred at the corresponding location point based on the geological structure state information and soil state information at the same location point, including:

[0089] If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

[0090] The beneficial effects of the above technical solution are as follows: by performing quantitative analysis and processing on the collected geological structure state information and soil state information in the above manner, it is possible to quickly and accurately determine whether the corresponding geometric center location point and the grid sub-region in which it is located have experienced geological structural instability events, thereby facilitating efficient and comprehensive identification and screening of all grid sub-regions and their geometric center location points.

[0091] Preferably, the reservoir structural risk area determination module is used to estimate and determine the structural risk area of ​​the reservoir itself based on the distribution information of all locations where geological structural instability events have occurred, including:

[0092] Based on the distribution information of the geometric center locations of all geologically unstable events and their respective grid sub-regions, the relative distance between the corresponding geometric center locations and the reservoir is determined.

[0093] Based on the relative distance, determine the actual number of geometric center points of geologically unstable events within a preset radius of a certain area of ​​the reservoir; and determine the actual total area of ​​the grid sub-regions of geologically unstable events within the preset radius.

[0094] If the actual quantity is greater than or equal to the first preset quantity threshold, or the actual total area is greater than or equal to the preset area threshold, then the area corresponding to the reservoir is determined as an area with structural risk.

[0095] The reservoir image acquisition and analysis module is used to acquire images of the reservoir corresponding to the structural risk area, analyze and process the images to obtain deformation information of the structural risk area, including:

[0096] Dynamic images of the reservoir corresponding to the structural risk area are collected within a preset time period; the dynamic images are segmented into frames to obtain several image frames; the deformation of the reservoir part is identified in each image frame to obtain the corresponding deformation of the reservoir part; based on the deformation of the reservoir part in all image frames, the total deformation amplitude and the rate of change of the deformation amplitude of the reservoir part within the preset time period are determined as deformation information of the structural risk area.

[0097] The beneficial effects of the above technical solution are as follows: First, the relative distance between the geometric center of the geological instability event and the reservoir is determined. This distance is then used to determine whether the actual number of geometric center points of the geological instability event within a preset radius of a certain area of ​​the reservoir is greater than or equal to a first preset threshold, or whether the actual total area of ​​the grid sub-regions of the geological instability event within the preset radius is greater than or equal to a preset area threshold. If so, it indicates that the area corresponding to the reservoir is a structural risk area. Furthermore, distributed camera equipment pre-installed in the reservoir area can be used to collect dynamic images of the reservoir and the structural risk area within a preset time period. Dynamic frame segmentation and recognition are then performed on the dynamic images to obtain the total deformation amplitude and the rate of change of deformation amplitude of the reservoir within the preset time period, facilitating the quantitative determination of the deformation situation of the structural risk area within the preset time period.

[0098] Preferably, the alarm notification module is used to determine whether there is a structural collapse risk in the reservoir based on the deformation information of all structural risk areas; and to generate a corresponding alarm notification message based on the determination of the structural collapse risk, including:

[0099] If the total deformation amplitude of the reservoir section in the structural risk area exceeds the preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir section exceeds the preset rate of change threshold, then the structural risk area is identified as a structural collapse area.

[0100] Determine whether the number of structural collapse areas corresponding to the reservoir is greater than the second preset threshold. If so, determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk.

[0101] When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

[0102] The beneficial effects of the above technical solution are as follows: by using the above method, based on the total deformation amplitude and the rate of change of deformation amplitude of the reservoir in the structural risk area, the structural collapse areas corresponding to the reservoir are screened out. Then, based on the number of structural collapse areas, it is determined whether there is a structural collapse risk in the reservoir, thereby ensuring accurate alarm notification of the structural status of the reservoir.

[0103] As can be seen from the above embodiments, this reservoir structure monitoring method and system based on a combination of distributed and multi-dimensional modes performs distributed geological state detection and distributed soil state detection in the reservoir area to obtain geological structure state information and soil state information at different locations. This allows for the determination of whether a geological instability event has occurred at a location, and subsequently, the estimation and identification of structural risk areas within the reservoir itself. Images of the reservoir corresponding to these risk areas are collected and analyzed to obtain deformation information. Based on the deformation information, the system determines whether the reservoir faces structural collapse risk and generates corresponding alarm notification messages. By performing distributed geological state detection and distributed soil state detection in the reservoir area, it continuously obtains geological structure state information and soil state information over a long period, facilitating a comprehensive assessment of whether a geological instability event has occurred at each location. This allows for timely identification of structural risk areas and their deformation information within the reservoir, accurately determining whether a structural collapse risk exists and generating timely alarm notification messages. This comprehensive understanding of the dynamic changes in the reservoir structure improves the reliability of reservoir structure monitoring.

[0104] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes, characterized in that, Includes the following steps: Step S1: Perform distributed geological state detection on the reservoir area to obtain geological structure state information at different locations in the reservoir area; perform distributed soil state detection on the reservoir area to obtain soil state information at different locations in the reservoir area; and determine whether a geological instability event has occurred at the corresponding location based on the geological structure state information and soil state information at the same location. Step S2: Based on the distribution information of all locations where geological structural instability events have occurred, estimate and determine the structural risk areas existing in the reservoir itself; Images of the reservoir corresponding to the structural risk area are collected, and the images are analyzed and processed to obtain deformation information of the structural risk area. This includes: determining the relative distance between the corresponding geometric center points and the reservoir based on the distribution information of all geometric center points of geological structural instability events and their respective grid sub-regions; determining the actual number of geometric center points of geological structural instability events within a preset radius of a certain area of ​​the reservoir based on the relative distance; and determining the actual total area of ​​the grid sub-regions of geological structural instability events within the preset radius; if the actual number is greater than or equal to a first preset number threshold, or the actual total area is greater than or equal to a preset area threshold, then the area corresponding to the reservoir is determined as a structural risk area; dynamic images of the reservoir corresponding to the structural risk area are collected over a preset time period; the dynamic images are processed into frames to obtain several image frames; reservoir part deformation is identified in each image frame to obtain the corresponding reservoir part deformation; based on the reservoir part deformation of all image frames, the total deformation amplitude and the rate of change of the reservoir part deformation amplitude within the preset time period are determined as deformation information of the structural risk area. Step S3: Based on the deformation information of all structural risk areas, determine whether the reservoir has a structural collapse risk; based on the determination result of the structural collapse risk, generate a corresponding alarm notification message.

2. The reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes as described in claim 1, characterized in that: In step S1, distributed geological state detection is performed on the reservoir area to obtain geological structure state information at different locations within the reservoir area; distributed soil state detection is also performed on the reservoir area to obtain soil state information at different locations within the reservoir area, including: The area where the reservoir is located is divided into several grid sub-regions. Distributed geological state detection is performed on all grid sub-regions to obtain the geological structure settlement state information of the geometric center point of each grid sub-region. The geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point over a preset time period. Distributed soil condition detection is performed on all grid sub-regions to obtain the soil moisture content at the geometric center point of each grid sub-region, which is used as the soil condition information.

3. The reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes as described in claim 2, characterized in that: In step S1, based on the geological structure state information and soil state information at the same location point, it is determined whether a geological instability event has occurred at the corresponding location point, including: If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

4. The reservoir structure monitoring method based on a combination of distributed and multi-dimensional modes as described in claim 1, characterized in that: In step S3, based on the deformation information of all structural risk areas, it is determined whether the reservoir has a risk of structural collapse. Based on the assessment result of the structural collapse risk, a corresponding alarm notification message is generated, including: If the total deformation amplitude of the reservoir portion in the structural risk area is greater than a preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir portion is greater than a preset rate of change threshold, then the structural risk area is determined to belong to the structural collapse area. Determine whether the number of structural collapse areas corresponding to the reservoir is greater than a second preset threshold. If yes, then determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk. When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

5. A reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes, characterized in that, include: The distributed geological condition detection module is used to perform distributed geological condition detection in the reservoir area to obtain geological structure status information at different locations in the reservoir area; A distributed soil condition detection module is used to perform distributed soil condition detection in the area where the reservoir is located, and to obtain soil condition information at different locations in the area where the reservoir is located. The geological structure stability judgment module is used to determine whether a geological structure instability event has occurred at the corresponding location point based on the geological structure state information and soil state information at the same location point. The reservoir structural risk area determination module is used to estimate and determine the structural risk area of ​​the reservoir itself based on the distribution information of all locations where geological structural instability events have occurred. This includes: determining the relative distance between the geometric center locations of all geological structural instability events and their respective grid sub-regions based on their distribution information; determining the actual number of geometric center locations of geological structural instability events within a preset radius of a certain area of ​​the reservoir based on the relative distance; and determining the actual total area of ​​the grid sub-regions where geological structural instability events have occurred within the preset radius. If the actual number is greater than or equal to a first preset number threshold, or the actual total area is greater than or equal to a preset area threshold, then the area corresponding to the reservoir is determined as a structural risk area. The reservoir image acquisition and analysis module is used to acquire images of the reservoir corresponding to the structural risk area, analyze and process the images to obtain deformation information of the structural risk area, including: acquiring dynamic images of the reservoir corresponding to the structural risk area within a preset time period; performing frame segmentation processing on the dynamic images to obtain several image frames; performing reservoir part deformation identification processing on each image frame to obtain the corresponding reservoir part deformation; and determining the total deformation amplitude and the rate of change of the reservoir part deformation amplitude within the preset time period based on the reservoir part deformation amplitude of all image frames, as the deformation information of the structural risk area. The alarm notification module is used to determine whether there is a structural collapse risk in the reservoir based on the deformation information of all structural risk areas; and to generate a corresponding alarm notification message based on the determination result of the structural collapse risk.

6. The reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes as described in claim 5, characterized in that: The distributed geological state detection module is used to perform distributed geological state detection in the reservoir area, obtaining geological structure state information at different locations within the reservoir area, including: Distributed geological state detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain geological structure settlement state information at the geometric center point of each grid sub-region; wherein, the geological structure settlement state information includes the settlement height value and settlement velocity value of the geometric center point over a preset time period; The distributed soil condition detection module is used to perform distributed soil condition detection in the reservoir area, obtaining soil condition information at different locations within the reservoir area, including: Distributed soil condition detection is performed on all grid sub-regions divided into areas where the reservoir is located to obtain the soil moisture content at the geometric center point of each grid sub-region, which is used as the soil condition information.

7. The reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes as described in claim 6, characterized in that: The geological structure stability determination module is used to determine whether a geological structure instability event has occurred at the corresponding location point based on the geological structure state information and soil state information at the same location point, including: If the settlement height value of the geometric center point over a preset time period is greater than a preset height threshold or the settlement velocity value is greater than a preset velocity threshold, and the soil moisture content of the geometric center point is greater than a preset moisture content threshold, then it is determined that a geological structural instability event has occurred at the corresponding geometric center point and the grid sub-region in which it is located.

8. The reservoir structure monitoring system based on a combination of distributed and multi-dimensional modes as described in claim 7, characterized in that: The alarm notification module is used to determine whether the reservoir has a risk of structural collapse based on the deformation information of all structural risk areas. Based on the assessment result of the structural collapse risk, a corresponding alarm notification message is generated, including: If the total deformation amplitude of the reservoir portion in the structural risk area is greater than a preset amplitude threshold and the rate of change of the deformation amplitude of the reservoir portion is greater than a preset rate of change threshold, then the structural risk area is determined to belong to the structural collapse area. Determine whether the number of structural collapse areas corresponding to the reservoir is greater than a second preset threshold. If yes, then determine that the reservoir has a structural collapse risk; otherwise, determine that the reservoir does not have a structural collapse risk. When it is determined that the reservoir is at risk of structural collapse, an alarm notification message containing the location information of all structural collapse areas is generated.

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