Model change detection method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a model change detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring stress-strain data detected by at least one fiber bragg grating in a geologic structure model and model image data of the geologic structure model acquired by image acquisition equipment; determining a target matching relationship between the stress-strain data and the model image data; and determining model change information of the geological structure model in the structure deformation process based on the target matching relationship, the stress-strain data and the model image data. According to the technical scheme provided by the embodiment of the invention, the surface condition and the internal stress-strain condition of the model can be reflected through the model change information, so that the internal stress-strain condition and the external surface condition of the geological structure model can be detected; and the model change of the geological structure model in the structure deformation process can be determined more comprehensively and accurately.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of physical simulation of structural deformation, and in particular to a detection method, device, electronic device and storage medium for model changes. Background Art

[0002] The structural physical simulation experiment is an experimental method that reproduces the deformation and evolution process of geological structures under laboratory conditions. The structural physical simulation experiment can dynamically reproduce the deformation process of geological structures, understand the formation mechanism and evolution law of structures, and provide a scientific basis for oil and gas exploration.

[0003] In the prior art, the deformation of the outermost side of the structural model during the structural physical simulation experiment is understood by photography, but it is impossible to perform multi-section, all-round three-dimensional dynamic detection of the geological structure model. Therefore, it is an urgent problem to propose a method that can comprehensively detect the changes of the geological structure model. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, electronic device and storage medium for detecting model changes, so as to more comprehensively and accurately determine the model changes of a geological structure model during the structural deformation process.

[0005] According to one aspect of the present invention, a method for detecting a model change is provided, comprising:

[0006] Acquire stress and strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device;

[0007] Determining a target matching relationship between the stress-strain data and the model image data;

[0008] Based on the target matching relationship, the stress-strain data and the model image data, model change information of the geological structure model during the structural deformation process is determined.

[0009] According to another aspect of the present invention, there is provided a device for detecting a model change, the device comprising:

[0010] A stress-strain data acquisition module, used to acquire stress-strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device;

[0011] A target matching relationship determination module, used to determine a target matching relationship between the stress-strain data and the model image data;

[0012] The model change information determination module is used to determine the model change information of the geological structure model during the structural deformation process based on the target matching relationship, the stress-strain data and the model image data.

[0013] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the model change detection method described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the model change detection method described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention obtains stress and strain data detected by at least one fiber Bragg grating in the geological structure model, and model image data of the geological structure model collected by the image acquisition device; determines the stress and strain conditions in the geological structure model and the model surface conditions, and determines the target matching relationship between the stress and strain data and the model image data; based on the target matching relationship, the stress and strain data and the model image data, determines the model change information of the geological structure model during the structural deformation process. The model change information obtained in this embodiment can reflect both the surface conditions of the model and the stress and strain conditions inside the model, thereby realizing the detection of both the internal stress and strain and the external surface conditions of the geological structure model, and more comprehensively and accurately determining the model changes of the geological structure model during the structural deformation process.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of a method for detecting model changes provided according to an embodiment of the present invention;

[0022] Figure 2 is a structural schematic diagram of a model change detection device provided according to an embodiment of the present invention;

[0023] Figure 3 It is a structural schematic diagram of an electronic device for implementing the method for detecting model changes according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "etc." and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Figure 1 This is a flow chart of a method for detecting model changes according to an embodiment of the present invention. This embodiment is applicable to the case of detecting model change information of a geological structure model during structural deformation. The method can be performed by a model change detection device, which can be implemented in the form of hardware and / or software.

[0027] like Figure 1 As shown, the method of this embodiment may specifically include:

[0028] S110, acquiring stress and strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device.

[0029] It should be noted that the geological structure model is a model used to complete the structural physical simulation experiment. The structural physical simulation experiment completes the analysis of geological characteristics by determining the changes of the geological structure model during the deformation evolution of the geological structure model.

[0030] In a specific implementation, at least one fiber Bragg grating may be pre-set in the geological structure model. For example, the fiber Bragg grating may be evenly arranged in the geological structure model in the form of an array, or the fiber Bragg grating may be set only at the setting position to be detected in the geological structure model.

[0031] If the fiber Bragg grating is set at a setting position to be detected, before obtaining the stress and strain data detected by at least one fiber Bragg grating in the geological structure model, it also includes: performing a deformation construction operation on a pre-established basic model to obtain a deformation result corresponding to the basic model; based on the deformation result, determining the characteristic position of the preset geological feature in the geological structure model, and determining the characteristic position as the setting position of the fiber Bragg grating in the geological structure model.

[0032] Among them, the preset geological features may include faults, folds, anticlines and synclines.

[0033] Specifically, a basic model corresponding to the geological structure model can be pre-built, that is, a model that is consistent with the geological structure model type but does not deploy fiber Bragg gratings. By performing structural deformation operations on the basic model, the deformation result corresponding to the basic model is obtained. Exemplarily, the surface change data of the basic model during the structural deformation process can be collected by an image acquisition device, and the surface change data can be used as the deformation result.

[0034] In a specific implementation, the deformation results are used to determine whether preset geological features such as faults, folds, anticlines and synclines appear in the basic model after the structural deformation operation. The location where the preset geological features appear in the basic model can be determined as the characteristic location, and the characteristic location can be determined as the setting location of the fiber grating in the geological structure model.

[0035] In this embodiment, the fiber Bragg grating can be set in the geological structure model according to the determined setting position, so that by setting the fiber Bragg grating at the characteristic position, the characteristic position where the characteristic changes such as faults, folds, anticlines and synclines occur can be better detected.

[0036] Furthermore, in order to comprehensively detect the geological structure model, a fiber grating can be set at a conventional position at a preset distance from the characteristic position to detect whether stress and strain occur at the conventional position, and compare it with the changes at the characteristic position to better understand the overall changes in the geological structure model.

[0037] Specifically, after the geological structure model is deformed, the digital stress and strain data collected by each fiber Bragg grating can be obtained. The acquisition method can be real-time acquisition or periodic acquisition. Those skilled in the art can determine the acquisition method of stress and strain data according to actual application conditions, and the embodiment of the present invention is not limited to this.

[0038] In this embodiment, the model image data of the geological structure model during the structural deformation process can also be obtained through a pre-set image acquisition device. Specifically, the number of image acquisition devices can be at least one, and the model image data can include top surface image data and / or side surface image data of the geological structure model. The model image data can reflect the external changes of the geological structure model during the structural deformation process.

[0039] To ensure the integrity and validity of the stress-strain data, after acquiring the stress-strain data detected by at least one fiber Bragg grating in the geological structure model, the following operations may be performed: if there is abnormal data in the stress-strain data, the stress-strain data is reacquired, and the stress-strain data is updated based on the data obtained by the reacquisition operation.

[0040] The abnormal data may include missing data and / or data that does not conform to the change law of stress-strain data. For example, the stress-strain data is fitted to obtain a fitting curve, and data that is out of a preset range from the fitting curve may be determined as abnormal data.

[0041] In a specific implementation, if there is no abnormal data in the stress-strain data, the model change information of the geological structure model during the structural deformation process can be determined directly based on the stress-strain data. If there is abnormal data in the applied strain data, in order to ensure the accuracy of the determined model change information, the stress-strain data detected by the fiber Bragg grating can be re-acquired. Specifically, the structural deformation operation can be performed on the geological structure model again, and the data collected by the fiber Bragg grating during the structural deformation process can be obtained. The stress-strain data is updated by re-acquired data, thereby ensuring the correctness and validity of the stress-strain data.

[0042] Furthermore, in order to avoid the situation where there is still abnormal data in the re-acquired data, which leads to incorrect determined model change information, after the stress-strain data is re-acquired, it may also include: determining whether the re-acquired data is normal data; if not, generating early warning information and feeding it back to the analysis terminal to indicate that the working state of the fiber grating is abnormal.

[0043] Specifically, the data re-collected by the fiber Bragg grating can be tested. If the re-acquired data is normal data, the operation of updating the stress-strain data based on the data obtained by the re-acquisition operation is continued. If the re-acquired data is abnormal data, it may be that the fiber Bragg grating has an abnormal operation, which leads to abnormal data collection. In order to determine whether the fiber Bragg grating is abnormal, early warning information can be generated and fed back to the analysis terminal to prompt that the working state of the fiber Bragg grating is abnormal, so that the staff can detect the working state of the fiber Bragg grating in time to avoid errors in the determined model change information.

[0044] In a specific implementation, the warning information may include information about the fiber Bragg grating that has collected abnormal data, such as the setting position of the fiber Bragg grating, the fiber Bragg grating number, etc. By sending the setting position of the fiber Bragg grating, the fiber Bragg grating number and other information to the analysis terminal, it is convenient for the staff to find and troubleshoot the fiber Bragg grating.

[0045] S120: Determine a target matching relationship between the stress-strain data and the model image data.

[0046] Among them, the stress-strain data and the model image data are all the data detected for each setting position to be detected during the structural deformation process. In order to more clearly and in detail determine the stress-strain changes and shape changes of each setting position to be detected at each moment in the structural deformation process, it is necessary to establish a target matching relationship between the stress-strain data and the model image data.

[0047] Optionally, determining a target matching relationship between stress-strain data and model image data includes: determining a position matching relationship between the stress-strain data and the model image data based on a predetermined setting position of at least one fiber grating to be detected in a geological structure model; determining a time matching relationship between the stress-strain data and the model image data based on a first acquisition time of the stress-strain data and a second acquisition time of the model image data; and determining a target matching relationship between the stress-strain data and the model image data based on the position matching relationship and the time matching relationship.

[0048] Specifically, based on the setting position to be detected, the stress strain sub-data used to reflect the stress strain of the setting position in the stress strain data can be determined, the model image sub-data representing the setting position in the model image data can be determined, and a matching relationship between each stress strain sub-data and the model image sub-data can be established, and the relationship can be determined as a position matching relationship. Through the determined position matching relationship, the stress strain situation and the model image situation representing the same setting position in the geological structure model can be determined.

[0049] Furthermore, based on the first acquisition time of the stress-strain data and the second acquisition time of the model image data, the model image sub-data corresponding to the stress-strain sub-data at each moment in the deformation construction process can be determined, thereby establishing a time matching relationship between the model image sub-data corresponding to the stress-strain sub-data.

[0050] By determining the time matching relationship and the position matching relationship, the target matching relationship between the stress-strain data and the model image data in the two dimensions of time and the setting position to be detected can be determined. Through the target matching relationship, the model image sub-data and stress-strain sub-data obtained at a certain setting position at a certain moment can be determined, so as to understand the stress-strain situation and surface change situation of the geological structure model at a certain setting position at a certain moment.

[0051] S130, determining model change information of the geological structure model during the structural deformation process based on the target matching relationship, stress-strain data and model image data.

[0052] In specific implementation, based on the target matching relationship, the stress-strain conditions and surface change conditions of the geological structure model at a certain setting position at a certain moment can be determined. The stress-strain conditions and surface change conditions at each setting position at each moment constitute the model change information.

[0053] Optionally, the model change information includes at least one of side changes, top surface changes, internal stress changes and internal strain changes; based on the target matching relationship, stress-strain data and model image data, the model change information of the geological structure model during the structural deformation process is determined, including: based on the target matching relationship, stress-strain data and model image data, at least one of the side changes, top surface changes, internal stress changes and internal strain changes of the geological structure model during the structural deformation process is determined.

[0054] Specifically, the internal stress change and internal strain change of the geological structure model can be determined through stress-strain data; the side surface change and top surface change of the geological structure model can be determined through model image data. The model change information is formed by the internal stress change, internal strain change, side surface change and top surface change.

[0055] This embodiment can reflect the changes in internal stress, internal strain, side and top surfaces of the geological structure model during the structural deformation process through model change information, and comprehensively and clearly reflect the changes in the geological structure model.

[0056] In a specific implementation, after determining the model change information of the geological structure model during the structural deformation process, it also includes: generating a model change report based on the model change information and a preset display format; and sending the model change report to the analysis terminal.

[0057] Among them, the preset display format can be a table, a curve chart, etc.

[0058] Specifically, the model change information can be processed according to a preset display format to generate a model change report. The model change report can reflect the model change of the geological structure model during the structural deformation process, and the model change report is sent to the analysis terminal so that the staff can understand the model change conveniently and efficiently.

[0059] The technical solution of the embodiment of the present invention obtains stress and strain data detected by at least one fiber Bragg grating in the geological structure model, and model image data of the geological structure model collected by the image acquisition device; determines the stress and strain conditions in the geological structure model and the model surface conditions, and determines the target matching relationship between the stress and strain data and the model image data; based on the target matching relationship, the stress and strain data and the model image data, determines the model change information of the geological structure model during the structural deformation process. The model change information obtained in this embodiment can reflect both the surface conditions of the model and the stress and strain conditions inside the model, thereby realizing the detection of both the internal stress and strain and the external surface conditions of the geological structure model, and more comprehensively and accurately determining the model changes of the geological structure model during the structural deformation process.

[0060] Figure 2 1 is a schematic diagram of the structure of a model change detection device provided according to an embodiment of the present invention, and the device is used to execute the model change detection method provided in any of the above embodiments. The device and the model change detection method of the above embodiments belong to the same inventive concept, and the details not described in detail in the embodiment of the model change detection device can refer to the embodiment of the above model change detection method. Figure 2 As shown, the device comprises:

[0061] A stress-strain data acquisition module 10 is used to acquire stress-strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device;

[0062] A target matching relationship determination module 11 is used to determine a target matching relationship between stress-strain data and model image data;

[0063] The model change information determination module 12 is used to determine the model change information of the geological structure model during the structural deformation process based on the target matching relationship, stress-strain data and model image data.

[0064] Based on any optional technical solution in the embodiment of the present invention, optionally, the target matching relationship determination module 11 includes:

[0065] A position matching relationship determining unit, used to determine the position matching relationship between the stress-strain data and the model image data based on a predetermined setting position of at least one fiber Bragg grating to be detected in the geological structure model;

[0066] A time matching relationship determining unit, configured to determine a time matching relationship between the stress-strain data and the model image data based on a first acquisition time of the stress-strain data and a second acquisition time of the model image data;

[0067] The target matching relationship determination unit is used to determine the target matching relationship between the stress-strain data and the model image data based on the position matching relationship and the time matching relationship.

[0068] Based on any optional technical solution in the embodiments of the present invention, optionally, the following further includes:

[0069] A deformation result obtaining module is used to perform deformation construction operation on a pre-established basic model to obtain a deformation result corresponding to the basic model before obtaining stress and strain data detected by at least one fiber Bragg grating in the geological structure model;

[0070] The setting position determination module is used to determine the characteristic position of the preset geological feature in the geological structure model based on the deformation result, and determine the characteristic position as the setting position of the fiber Bragg grating in the geological structure model.

[0071] Based on any optional technical solution in the embodiments of the present invention, optionally, the following further includes:

[0072] A model change report generation module is used to generate a model change report based on model change information and a preset display format;

[0073] The model change report sending module is used to send the model change report to the analysis terminal.

[0074] Based on any optional technical solution in the embodiment of the present invention, optionally, the model change information includes at least one of side surface change, top surface change, internal stress change and internal strain change;

[0075] The model change information determination module 12 includes:

[0076] The model change information determination unit is used to determine at least one of the side changes, top surface changes, internal stress changes and internal strain changes of the geological structure model during the structural deformation process based on the target matching relationship, stress-strain data and model image data.

[0077] Based on any optional technical solution in the embodiments of the present invention, optionally, the following further includes:

[0078] The stress-strain data updating module is used to re-acquire the stress-strain data after acquiring the stress-strain data detected by at least one fiber Bragg grating in the geological structure model, if there is abnormal data in the stress-strain data, and update the stress-strain data based on the data obtained by the re-acquisition operation.

[0079] Based on any optional technical solution in the embodiments of the present invention, optionally, the following further includes:

[0080] The warning information generation module is used to determine whether the re-acquired data is normal data after the stress-strain data is re-acquired; if not, a warning information is generated and fed back to the analysis terminal to indicate that the working state of the fiber Bragg grating is abnormal.

[0081] The technical solution of the embodiment of the present invention is to obtain stress and strain data detected by at least one fiber grating in the geological structure model, and model image data of the geological structure model collected by an image acquisition device; determine the stress and strain conditions in the geological structure model and the model surface conditions, and determine the target matching relationship between the stress and strain data and the model image data; based on the target matching relationship, the stress and strain data and the model image data, determine the model change information of the geological structure model during the structural deformation process; it can be seen that the model change information can reflect both the model surface conditions and the stress and strain conditions inside the model, thereby realizing the detection of both the internal stress and strain and the external surface conditions of the geological structure model, and more comprehensively and accurately determining the model changes of the geological structure model during the structural deformation process.

[0082] It is worth noting that in the embodiment of the above-mentioned model change detection device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0083] Figure 3 It is a structural schematic diagram of an electronic device for implementing the detection method of model changes of an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0084] like Figure 3 As shown, the electronic device 20 includes at least one processor 21, and a memory connected to the at least one processor 21, such as a read-only memory (ROM) 22, a random access memory (RAM) 23, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 21 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 22 or the computer program loaded from the storage unit 28 to the random access memory (RAM) 23. In RAM23, various programs and data required for the operation of the electronic device 20 can also be stored. The processor 21, ROM22 and RAM23 are connected to each other through a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0085] A number of components in the electronic device 20 are connected to the I / O interface 25, including: an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a disk, an optical disk, etc.; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0086] The processor 21 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 21 performs the various methods and processes described above, such as a method for detecting model changes.

[0087] In some embodiments, the detection method of model changes can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 28. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the processor 21, one or more steps of the detection method of model changes described above can be performed. Alternatively, in other embodiments, the processor 21 can be configured to perform the detection method of model changes in any other appropriate manner (for example, by means of firmware).

[0088] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0089] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0090] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0091] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0092] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0093] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0094] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0095] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting model changes, characterized in that: include: Acquire stress and strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device; Determining a target matching relationship between the stress-strain data and the model image data; Based on the target matching relationship, the stress-strain data and the model image data, model change information of the geological structure model during the structural deformation process is determined.

2. The method according to claim 1, characterized in that The determining of the target matching relationship between the stress-strain data and the model image data comprises: Determine a position matching relationship between the stress-strain data and the model image data based on a predetermined setting position of at least one fiber Bragg grating to be detected in the geological structure model; Determine a time matching relationship between the stress-strain data and the model image data based on a first acquisition time of the stress-strain data and a second acquisition time of the model image data; Based on the position matching relationship and the time matching relationship, a target matching relationship between the stress-strain data and the model image data is determined.

3. The method according to claim 1, characterized in that Before acquiring the stress and strain data detected by at least one fiber Bragg grating in the geological structure model, the method further includes: Performing deformation construction operations on a pre-established basic model to obtain a deformation result corresponding to the basic model; Based on the deformation result, a characteristic position of a preset geological feature in the geological structure model is determined, and the characteristic position is determined as the setting position of the fiber Bragg grating in the geological structure model.

4. The method according to claim 1, characterized in that: Also includes: Generate a model change report based on the model change information and a preset display format; The model change report is sent to the analysis terminal.

5. The method according to claim 1, characterized in that The model change information includes at least one of side surface change, top surface change, internal stress change and internal strain change; The determining of model change information of the geological structure model during the structural deformation process based on the target matching relationship, the stress-strain data and the model image data includes: Based on the target matching relationship, the stress-strain data and the model image data, at least one piece of information of the side surface change, top surface change, internal stress change and internal strain change of the geological structure model during the structural deformation process is determined.

6. The method according to claim 1, characterized in that After acquiring the stress and strain data detected by at least one fiber Bragg grating in the geological structure model, the method further includes: If there is abnormal data in the stress-strain data, a re-acquisition operation is performed on the stress-strain data, and the stress-strain data is updated based on the data obtained by the re-acquisition operation.

7. The method according to claim 6, characterized in that After the stress-strain data is re-acquired, the method further includes: Determine whether the re-acquired data is normal data; If not, an early warning message is generated and fed back to the analysis terminal to indicate that the working state of the fiber Bragg grating is abnormal.

8. A device for detecting model changes, characterized in that: include: A stress-strain data acquisition module, used to acquire stress-strain data detected by at least one fiber Bragg grating in a geological structure model, and model image data of the geological structure model acquired by an image acquisition device; A target matching relationship determination module, used to determine a target matching relationship between the stress-strain data and the model image data; The model change information determination module is used to determine the model change information of the geological structure model during the structural deformation process based on the target matching relationship, the stress-strain data and the model image data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for detecting model changes according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the model change detection method according to any one of claims 1 to 7 when executed.

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