Energy evaluation method and system for offshore carbon dioxide sequestration leakage signal and medium

Abstract

The invention provides an energy evaluation method and system for an offshore carbon dioxide sequestration leakage signal and a medium, and the method comprises the following steps: obtaining a sampled time domain signal, the signal types at least comprising a sound signal and a vibration signal; calculating based on the time domain signal to obtain an amplitude spectrum and a power spectrum; carrying out integration on a frequency domain based on the power spectrum to obtain a signal energy value; and comparing the signal energy value with a preset energy critical value to judge whether carbon dioxide leakage occurs or not. According to the energy evaluation method and system for the offshore carbon dioxide sequestration leakage signal and the medium, the offshore pipeline leakage signal can be monitored, the sequestration safety of the offshore carbon dioxide geology can be clearly evaluated, and the monitoring efficiency and accuracy can be improved by utilizing an energy intensity judgment mode.

Description

Technical Field

[0001] The present invention belongs to the technical field of signal processing, and in particular relates to an energy evaluation method, system and medium for offshore carbon dioxide storage leakage signals. Background Art

[0002] Offshore operations refer to various engineering operations and tasks carried out in the ocean or near the coastline, including offshore oil exploration, offshore wind farm construction, port construction, waterway maintenance, etc. Offshore operations have the following characteristics: First, the offshore environment is complex and changeable. Affected by natural factors such as ocean climate, ocean currents, and waves, the operating environment is even more severe; second, the safety risk is high. Offshore operations are risky and have many safety hazards. Once an accident occurs, the consequences are serious; third, the technical requirements are high. Offshore operations require the application of various high-tech technologies and equipment, including ships, diving equipment, and marine engineering equipment.

[0003] The laying and maintenance of offshore oil and gas pipelines is currently the focus of offshore operations. The current monitoring of pipeline leakage has the following deficiencies: (1) Small leaks are difficult to detect, and submarine pipeline leaks cannot be discovered in time, making it difficult to achieve real-time monitoring. (2) The monitoring accuracy is not high, resulting in false alarms of pipeline leaks. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide an energy evaluation method, system and medium for offshore carbon dioxide storage leakage signals, so as to solve the problem of energy intensity judgment of offshore carbon dioxide storage leakage signals.

[0005] In a first aspect, the present invention provides an energy evaluation method for an offshore carbon dioxide storage leakage signal, the method comprising the following steps:

[0006] Acquire a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal;

[0007] Calculating based on the time domain signal to obtain an amplitude spectrum and a power spectrum;

[0008] Integrating the power spectrum in the frequency domain to obtain a signal energy value;

[0009] The signal energy value is compared with a preset energy threshold value to determine whether carbon dioxide leakage occurs.

[0010] In a possible implementation of the present application, acquiring the sampled time domain signal specifically includes:

[0011] The time domain signal is obtained by sampling the signal based on a preset monitor, wherein:

[0012] The sound signal is obtained by monitoring a preset pipeline based on a preset sound monitor; and / or

[0013] The vibration signal is obtained by monitoring a preset pipeline based on a preset vibration monitor.

[0014] In a possible implementation of the present application, the calculating based on the time domain signal to obtain the amplitude spectrum specifically includes: calculating based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal.

[0015] In a possible implementation of the present application, the power spectrum is calculated based on the time domain signal, specifically including: filtering out phase information from the amplitude spectrum, and using the amplitude-power relationship formula to calculate the power spectrum corresponding to the current time domain signal, wherein the power spectrum is a unilateral power spectrum.

[0016] In a possible implementation of the present application, the obtaining of the signal energy value by integrating the power spectrum in the frequency domain specifically includes:

[0017] Determine the upper and lower limits of the integral, wherein the upper and lower limits of the integral include user-defined integral boundaries and undefined;

[0018] When the upper and lower limits of the integration are the integration boundaries, the signal energy value is obtained by integrating the single-sided power spectrum based on the integration boundaries.

[0019] When the upper and lower limits of the integration are undefined, the signal energy value is obtained by performing full-frequency integration based on the single-sided power spectrum.

[0020] In a possible implementation of the present application, the method further includes acquiring user-defined data, wherein the integral boundary is identified based on the user-defined data, and the energy critical value is identified based on the user-defined data.

[0021] In a possible implementation of the present application, the comparing the signal energy value with a preset energy threshold value to determine whether carbon dioxide leakage occurs specifically includes:

[0022] When the signal energy value is greater than or equal to the energy critical value, it is determined that a carbon dioxide leakage currently occurs;

[0023] When the signal energy value is less than the energy critical value, it is determined that no carbon dioxide leakage occurs currently.

[0024] In a second aspect, the present invention provides an energy evaluation system for an offshore carbon dioxide storage leakage signal, the system comprising an acquisition module, a calculation module, an integration module and a judgment module, wherein:

[0025] The acquisition module is used to acquire sampled time domain signals, wherein the signal types include at least sound signals and vibration signals;

[0026] The calculation module is used to calculate and obtain an amplitude spectrum and a power spectrum based on the time domain signal;

[0027] The integration module is used to obtain a signal energy value by integrating the power spectrum in the frequency domain;

[0028] The judgment module is used to judge whether carbon dioxide leakage occurs based on the comparison between the signal energy value and a preset energy threshold value.

[0029] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0030] The memory is used to store computer programs;

[0031] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned energy evaluation method for offshore carbon dioxide storage leakage signal.

[0032] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-mentioned energy evaluation method for offshore carbon dioxide storage leakage signals.

[0033] As described above, the energy evaluation method, system and medium for offshore carbon dioxide storage leakage signals described in the present invention have the following beneficial effects: they can monitor offshore pipeline leakage signals, give a clear evaluation of the geological storage safety of offshore carbon dioxide, and improve monitoring efficiency and accuracy by using energy intensity judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0035] Figure 2 It is a flow chart showing the steps of a method for energy evaluation of an offshore carbon dioxide storage leakage signal in one embodiment of the present invention;

[0036] Figure 3 Shown is a schematic diagram of the result of the time domain signal monitored by the energy evaluation method for offshore carbon dioxide storage leakage signal in one embodiment of the present invention;

[0037] Figure 4 It is a schematic structural diagram showing the amplitude spectrum of a time domain signal in the frequency domain monitored by the energy evaluation method for offshore carbon dioxide storage leakage signal of the present invention in one embodiment;

[0038] Figure 5 It is a schematic diagram showing the structure of a single-sided power spectrum of a time domain signal in the frequency domain monitored by an energy evaluation method for an offshore carbon dioxide storage leakage signal of the present invention in one embodiment;

[0039] Figure 6 It is a flow chart showing the steps of a method for energy evaluation of an offshore carbon dioxide storage leakage signal in one embodiment of the present invention;

[0040] Figure 7 Shown is a schematic structural diagram of an energy evaluation system for offshore carbon dioxide storage leakage signals in one embodiment of the present invention;

[0041] Figure 8 It is a schematic structural diagram of an electronic device of the present invention in one embodiment.

[0042] Component number description

[0043] Steps S202 to S208

[0044] Steps S602 to S606

[0045] 70 Energy evaluation system for leakage signals of offshore CO2 storage

[0046] 71 Get Module

[0047] 72 Computing Modules

[0048] 73 Integral Module

[0049] 74 Judgment module DETAILED DESCRIPTION

[0050] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0051] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0052] The following embodiment of the present invention provides an energy evaluation method for offshore carbon dioxide storage leakage signal, which can be applied to Figure 1 The electronic device shown. The electronic device described in the present invention may include a mobile phone 11 with a wireless charging function, a tablet computer 12, a laptop computer 13, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The embodiment of the present invention does not impose any restrictions on the specific type of the electronic device.

[0053] For example, the electronic device may be a station (STAION, ST) in a WLAN with a wireless charging function, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with a wireless charging function, a computing device or other processing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system and a next generation communication system, such as a mobile terminal in a 5G network, a mobile terminal in a future evolved Public Land Mobile Network (PLMN), or a mobile terminal in a future evolved Non-terrestrial Network (NTN).

[0054] For example, the electronic device can communicate with the network and other devices through wireless communication. The above wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobilecommunication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), BT, GNSS, WLAN, NFC, FM, and / or IR technology. The GNSS can include Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), BeiDou navigation Satellite System (BDS), Quasi-Zenith Satellite System (QZSS) and / or Satellite Based Augmentation Systems (SBAS).

[0055] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0056] Specifically, see Figure 2 In one embodiment of the invention, the energy evaluation method of the offshore carbon dioxide storage leakage signal of the present invention comprises the following steps:

[0057] Step S202, obtaining a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal;

[0058] Step S204, calculating and obtaining an amplitude spectrum and a power spectrum based on the time domain signal;

[0059] Step S206, integrating the power spectrum in the frequency domain to obtain a signal energy value;

[0060] Step S208 : comparing the signal energy value with a preset energy threshold value to determine whether carbon dioxide leakage occurs.

[0061] It should be noted that, in this embodiment, the acquisition of the sampled time domain signal specifically includes the following steps: sampling the signal based on a preset monitor to obtain the time domain signal, wherein the sound signal is obtained by monitoring the preset pipeline based on a preset sound monitor; and / or the vibration signal is obtained by monitoring the preset pipeline based on a preset vibration monitor.

[0062] Specifically, Figure 3 As shown, it is a schematic diagram of the monitoring result of the time domain signal, wherein, when this embodiment is applied, a preset monitor can be used to monitor the preset pipeline, wherein the monitored time domain signal can be a sound signal or a vibration signal, for example, a sound monitor is used to monitor the preset pipeline to obtain a sound signal, and a vibration monitor is used to monitor the preset pipeline to obtain a vibration signal, wherein sound is also a kind of vibration, therefore, in actual application, the sound and vibration monitor can be used to monitor the preset pipeline to obtain Figure 3 The time domain signal shown in FIG. 1 is a time-dependent signal. Therefore, in the process of signal processing, it is necessary to calculate the amplitude spectrum and power spectrum of the time domain signal to facilitate subsequent data analysis. Since the monitoring instrument has a sampling interval, the time domain signal is actually discrete. The time domain function corresponding to the sampling result is as follows: x(t m ), m=1,2,3,…,N, where x(t m ) is the collected carbon dioxide leakage time domain signal data, t m is the discretized sampling time. The time domain signal can be plotted on the time axis in the form of a spectrum to obtain Figure 3 .

[0063] Further, in one embodiment of the invention, the calculating based on the time domain signal to obtain the amplitude spectrum specifically includes: calculating based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal.

[0064] It should be noted that, in this embodiment, the time domain function can obtain the amplitude spectrum X(f) corresponding to the current time domain signal by Fourier transform, and the calculation formula is as follows: Among them, X(f m ) is the collected frequency domain signal data of carbon dioxide leakage, Δt is the sampling time interval, x(t m ) is the collected time domain signal, f m is the discretized frequency value, T is the total length of the acquisition signal time; Figure 4 As shown, it is a schematic diagram of the amplitude spectrum of the currently monitored time domain signal in the frequency domain.

[0065] Furthermore, in one embodiment of the invention, the power spectrum is calculated based on the time domain signal, specifically including: filtering out phase information from the amplitude spectrum, and using the amplitude-power relationship formula to calculate the power spectrum corresponding to the current time domain signal, wherein the power spectrum is a unilateral power spectrum.

[0066] It should be noted that, in this embodiment, from X(f m ) by filtering out the phase information, we can get the double-sided amplitude spectrum Then, the power spectrum is converted using the amplitude-power relationship formula to obtain the bilateral power spectrum. Since only a single-sided power spectrum is needed for calculation, a secondary calculation is performed on the basis of the double-sided power spectrum to obtain the single-sided power spectrum. in, is the double-sided amplitude spectrum, is the bilateral power spectrum, S yy (f n ) unilateral power spectrum; Figure 5 As shown, it shows the single-sided power spectrum of the currently monitored time domain signal in the frequency domain, X(f m ) is the collected frequency domain signal data of carbon dioxide leakage, and T is the total length of the collected signal time.

[0067] Further, in one embodiment of the invention, if Figure 6 As shown, the signal energy value is obtained by integrating the power spectrum in the frequency domain, which specifically includes the following steps:

[0068] Step S602, determining the upper and lower limits of the integral, wherein the upper and lower limits of the integral include user-defined integral boundaries and undefined;

[0069] Step S604: when the upper and lower limits of the integration are the integration boundaries, integrating the single-sided power spectrum based on the integration boundaries to obtain the signal energy value;

[0070] Step S606: When the upper and lower limits of the integration are undefined, a full-frequency domain integration is performed based on the single-sided power spectrum to obtain the signal energy value.

[0071] It should be noted that the method also includes obtaining user-defined data, specifically identifying the integration boundary based on the user-defined data, and identifying the energy critical value based on the user-defined data, wherein, in this embodiment, the upper and lower limits of the integration are first determined, and the upper and lower limits of the integration include user-defined integration boundaries and undefined ones. When the upper and lower limits of the integration are the integration boundaries, the one-sided power spectrum is integrated based on the integration boundaries to obtain the signal energy value; when the upper and lower limits of the integration are undefined, the signal energy value is obtained by performing a full-frequency integration based on the one-sided power spectrum.

[0072] Specifically, by performing frequency-domain integration on the unilateral power spectrum in the frequency domain shown in Figure 5 , the signal energy value can be correspondingly obtained. Taking the integration boundary as (a, b) as an example, based on the calculation formula , the signal energy value corresponding to the current integration boundary is calculated. If not defined, that is, a = 0 and b = +∞, then S a→b is the signal energy value of the full-frequency domain signal corresponding to the monitored signal.

[0073] Furthermore, in an embodiment of the invention, comparing the signal energy value with a preset energy critical value to determine whether carbon dioxide leakage occurs specifically includes: when the signal energy value is greater than or equal to the energy critical value, it is determined that carbon dioxide leakage occurs currently; when the signal energy value is less than the energy critical value, it is determined that carbon dioxide leakage does not occur currently.

[0074] It should be noted that in the above embodiment, it is illustrated that the energy critical value S0 can be obtained based on user-defined data. In this embodiment, the signal energy value can be compared with a preset energy critical value to determine whether carbon dioxide leakage occurs. Among them, when the signal energy value is greater than or equal to the energy critical value, it is determined that carbon dioxide leakage occurs currently, that is, when S a→b ≥ S0, it is determined that the signal energy reaches the critical energy value and leakage occurs; when the signal energy value is less than the energy critical value, it is determined that carbon dioxide leakage does not occur currently, that is, when S a→b < S0, it is determined that the signal energy does not reach the critical energy value and leakage does not occur.

[0075] The embodiment of the present application further provides an energy evaluation system for offshore carbon dioxide storage leakage signals. The energy evaluation system for offshore carbon dioxide storage leakage signals can implement the energy evaluation method for offshore carbon dioxide storage leakage signals described in the present application. However, the implementation device of the energy evaluation method for offshore carbon dioxide storage leakage signals described in the present application includes but is not limited to the structure of the energy evaluation system for offshore carbon dioxide storage leakage signals listed in this embodiment. Any structural deformation and replacement of the prior art made according to the principle of the present application are included in the protection scope of the present application.

[0076] Please refer to Figure 7 . In an embodiment, an energy evaluation system 70 for offshore carbon dioxide storage leakage signals provided in this embodiment. The system includes an acquisition module 71, a calculation module 72, an integration module 73, and a judgment module 74, where

[0077] The acquisition module 71 is used to acquire the sampled time-domain signal, where the signal types at least include sound signals and vibration signals;

[0078] The calculation module 72 is used to calculate the amplitude spectrum and the power spectrum based on the time domain signal;

[0079] The integration module 73 is used to obtain a signal energy value by integrating the power spectrum in the frequency domain;

[0080] The determination module 74 is used to determine whether carbon dioxide leakage occurs based on the comparison between the signal energy value and a preset energy threshold value.

[0081] Since the specific implementation of this embodiment corresponds to the aforementioned method embodiment, those skilled in the art should also understand that Figure 7 The division of the modules in the embodiment is merely a division of logical functions, and in actual implementation, all or part of them can be integrated into one or more physical entities, and these modules can be implemented entirely in the form of software called by processing elements, or entirely in the form of hardware, or some modules can be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware.

[0082] Specifically, the acquisition module 71 is used to acquire the sampled time domain signal, specifically to obtain the time domain signal by sampling the signal based on a preset monitor, wherein the sound signal is obtained by monitoring the preset pipeline based on a preset sound monitor; and / or the vibration signal is obtained by monitoring the preset pipeline based on a preset vibration monitor.

[0083] The calculation module 72 is used to calculate the amplitude spectrum and the power spectrum based on the time domain signal, specifically, to calculate based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal, and to filter out the phase information from the amplitude spectrum, and to calculate using the amplitude-power relationship formula to obtain the power spectrum corresponding to the current time domain signal, wherein the power spectrum is a unilateral power spectrum.

[0084] The integration module 73 is used to obtain the signal energy value by integrating the power spectrum in the frequency domain, specifically, to determine the upper and lower limits of integration by obtaining the integration boundary based on the user-defined data identification, and when the upper and lower limits of integration are the integration boundary, the signal energy value is obtained by integrating the unilateral power spectrum based on the integration boundary, wherein when the user does not define the upper and lower limits of integration, that is, the upper and lower limits of integration are undefined, at this time, the signal energy value is obtained by performing full-frequency integration based on the unilateral power spectrum, and the obtained value is the full-frequency integration;

[0085] The judgment module 74 is used to judge whether carbon dioxide leakage occurs based on the comparison between the signal energy value and the preset energy critical value, specifically to judge whether carbon dioxide leakage occurs based on the comparison between the signal energy value and the preset energy critical value, wherein when the signal energy value is greater than or equal to the energy critical value, it is judged that carbon dioxide leakage occurs currently; when the signal energy value is less than the energy critical value, it is judged that carbon dioxide leakage does not occur currently.

[0086] In the several embodiments provided by the present invention, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0087] The modules / units described as separate components may or may not be physically separated, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0088] Those of ordinary skill in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0089] The embodiment of the present invention also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state disk (SSD)), etc.

[0090] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0091] The memory is used to store computer programs.

[0092] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0093] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the above-mentioned energy evaluation method for offshore carbon dioxide storage leakage signals.

[0094] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0095] like Figure 8As shown, the electronic device of the present invention is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors or processing units 81, a memory 82, and a bus 83 connecting different system components (including the memory 82 and the processing unit 81).

[0096] Bus 83 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0097] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0098] The memory 82 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 821 and / or cache memory 822. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 823 may be used to read and write non-removable, non-volatile magnetic media ( Figure 8 not shown, usually called a "hard drive"). Although Figure 8 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 83 via one or more data medium interfaces. The memory 82 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0099] A program / utility 824 having a set (at least one) of program modules 8241 may be stored, for example, in the memory 82, such program modules 8241 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 8241 generally perform the functions and / or methods of the embodiments described herein.

[0100] The electronic device may also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via input / output (I / O) interface 84. Furthermore, the electronic device may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 88. Figure 8 As shown, the network adapter 88 communicates with other modules of the electronic device via the bus 83. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0101] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for energy evaluation of offshore carbon dioxide storage leakage signals, characterized in that: include: Acquire a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal; Calculating based on the time domain signal to obtain an amplitude spectrum and a power spectrum; Integrating the power spectrum in the frequency domain to obtain a signal energy value; The signal energy value is compared with a preset energy threshold value to determine whether carbon dioxide leakage occurs.

2. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 1, characterized in that: The acquiring of the sampled time domain signal specifically includes: The time domain signal is obtained by sampling the signal based on a preset monitor, wherein: The sound signal is obtained by monitoring a preset pipeline based on a preset sound monitor; and / or The vibration signal is obtained by monitoring a preset pipeline based on a preset vibration monitor.

3. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 2, characterized in that: The calculating based on the time domain signal to obtain the amplitude spectrum specifically includes: calculating based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal.

4. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 3 is characterized in that: The calculating the power spectrum based on the time domain signal specifically includes: filtering out phase information from the amplitude spectrum, and calculating the power spectrum corresponding to the current time domain signal using an amplitude-power relationship formula, wherein the power spectrum is a unilateral power spectrum.

5. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 3, characterized in that: The step of integrating the power spectrum in the frequency domain to obtain a signal energy value specifically includes: Determine the upper and lower limits of the integral, wherein the upper and lower limits of the integral include user-defined integral boundaries and undefined; When the upper and lower limits of the integration are the integration boundaries, the signal energy value is obtained by integrating the single-sided power spectrum based on the integration boundaries. When the upper and lower limits of the integration are undefined, the signal energy value is obtained by performing full-frequency integration based on the single-sided power spectrum.

6. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 4, characterized in that: The method further includes obtaining user-defined data, wherein the integration boundary is identified based on the user-defined data, and the energy critical value is identified based on the user-defined data.

7. The energy evaluation method for offshore carbon dioxide storage leakage signal according to claim 5, characterized in that: The comparing the signal energy value with a preset energy threshold value to determine whether carbon dioxide leakage occurs specifically includes: When the signal energy value is greater than or equal to the energy critical value, it is determined that a carbon dioxide leakage currently occurs; When the signal energy value is less than the energy critical value, it is determined that no carbon dioxide leakage occurs currently.

8. An energy evaluation system for offshore carbon dioxide storage leakage signals, characterized in that: It includes an acquisition module, a calculation module, an integration module and a judgment module, wherein: The acquisition module is used to acquire sampled time domain signals, wherein the signal types include at least sound signals and vibration signals; The calculation module is used to calculate and obtain an amplitude spectrum and a power spectrum based on the time domain signal; The integration module is used to obtain a signal energy value by integrating the power spectrum in the frequency domain; The judgment module is used to judge whether carbon dioxide leakage occurs based on the comparison between the signal energy value and a preset energy threshold value.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the energy evaluation method for offshore carbon dioxide storage leakage signal according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device executes the energy evaluation method for offshore carbon dioxide storage leakage signals as described in any one of claims 1 to 7.

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