Probability evaluation method and system for maritime carbon dioxide sequestration leakage signal and medium

Abstract

The invention provides a probability 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 an occurrence probability value of a leakage critical signal based on the time domain signal; the occurrence probability value is compared with a preset critical probability index, and when the occurrence probability value is larger than or equal to the critical probability index, it is judged that carbon dioxide leakage occurs. According to the probability 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 a leakage probability judgment mode.

Description

Technical Field

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

[0002] In recent years, with the massive consumption of fossil energy, the large-scale emission of greenhouse gases, especially CO2, has significantly enhanced the global greenhouse effect. Carbon dioxide capture, utilization and geological storage (CCUS) refers to the industrial process of separating carbon dioxide from various emission sources and the atmosphere or directly utilizing or storing it to achieve carbon dioxide emission reduction. As an emerging technology that is expected to achieve large-scale low-carbon utilization of fossil energy, CCUS technology has received great attention from the international community.

[0003] Compared with land storage, CO2 offshore storage has advantages such as zero land acquisition, easy site selection, small environmental impact, and large storage scale, but it also has disadvantages such as high cost, large investment, and lagging research and development. It needs more practical and reliable leakage risk assessment technology to ensure the successful implementation of the project. Offshore operations refer to various engineering operations and tasks carried out near the ocean or coastline, including offshore oil exploration, offshore wind farm construction, port construction, waterway maintenance, etc. Among them, offshore operations have the following characteristics: First, the offshore environment is complex and changeable. Affected by natural factors such as marine climate, currents, and waves, the operating environment is more severe; second, the safety risk is high, the risk of offshore operations is high, and there are 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.

[0004] Currently, the laying and maintenance of offshore oil and gas pipelines is the focus of offshore operations. The current monitoring of pipeline leakage has the following shortcomings: (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

[0005] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a probability evaluation method, system and medium for offshore carbon dioxide storage leakage signals, so as to solve the problem of leakage judgment of offshore carbon dioxide storage leakage signals.

[0006] In a first aspect, the present invention provides a method for probabilistically evaluating an offshore carbon dioxide storage leakage signal, the method comprising the following steps:

[0007] Acquire a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal;

[0008] Calculating an occurrence probability value of a leakage critical signal based on the time domain signal;

[0009] The occurrence probability value is compared with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a 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 method further includes plotting the sampled time domain signal in the form of a spectrum on a time axis to obtain a signal sampling diagram, wherein the time domain signal is a discrete signal.

[0015] In a possible implementation of the present application, the method further includes:

[0016] Get user-defined data;

[0017] identifying a leakage critical signal based on the user defined data;

[0018] Based on the comparison between the time domain signal and the leakage critical signal, when the time domain signal is greater than or equal to the leakage critical signal, it is determined that carbon dioxide leakage occurs.

[0019] In a possible implementation of the present application, the calculating the occurrence probability value of the leakage critical signal based on the time domain signal specifically includes:

[0020] Obtaining a probability calculation formula, wherein the probability calculation formula includes a discrete probability density calculation formula;

[0021] The occurrence probability value is obtained by calculating the occurrence probability of the leakage critical signal of the time domain signal in the time domain spectrum based on the probability calculation formula.

[0022] In a possible implementation of the present application, comparing the occurrence probability value with a preset critical probability index specifically includes:

[0023] Get user-defined data;

[0024] identifying the critical probability indicator based on the user-defined data;

[0025] The occurrence probability value is compared with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

[0026] In a possible implementation of the present application, the method also includes performing calculations based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal, 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.

[0027] In a second aspect, the present invention provides a probability evaluation system for an offshore carbon dioxide storage leakage signal, the system comprising:

[0028] An acquisition module, used to acquire sampled time domain signals, wherein the signal types include at least sound signals and vibration signals;

[0029] A calculation module, used for calculating the occurrence probability value of the leakage critical signal based on the time domain signal;

[0030] A comparison module is used to compare the occurrence probability value with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

[0031] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0032] The memory is used to store computer programs;

[0033] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned probability evaluation method for offshore carbon dioxide storage leakage signals.

[0034] 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 probability evaluation method for offshore carbon dioxide storage leakage signals.

[0035] As described above, the probability 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 safety of offshore carbon dioxide geological storage, and improve monitoring efficiency and accuracy by using leakage probability judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0037] Figure 2 It is a flow chart showing the method steps of a probability evaluation method for an offshore carbon dioxide storage leakage signal in one embodiment of the present invention;

[0038] Figure 3 A schematic diagram showing the result of a time domain signal monitored in an embodiment of the probability evaluation method for an offshore carbon dioxide storage leakage signal of the present invention;

[0039] Figure 4 It is a flow chart showing a probability evaluation method of an offshore carbon dioxide storage leakage signal in one embodiment of the present invention;

[0040] Figure 5 Shown is a schematic diagram of the structure of the amplitude spectrum of the time domain signal in the frequency domain monitored by the probability evaluation method of the offshore carbon dioxide storage leakage signal of the present invention in one embodiment;

[0041] Figure 6 It is a schematic diagram showing the structure of a single-sided power spectrum of a time domain signal monitored in the frequency domain by a probability evaluation method for an offshore carbon dioxide storage leakage signal of the present invention in one embodiment;

[0042] Figure 7 Shown is a schematic structural diagram of a probability evaluation system for offshore carbon dioxide storage leakage signals in one embodiment of the present invention;

[0043] Figure 8 It is a schematic structural diagram of an electronic device of the present invention in one embodiment.

[0044] Component number description

[0045] S202-S206 Step 70 Probability evaluation system for offshore carbon dioxide storage leakage signal

[0046] 71 Get Module

[0047] 72 Computing Modules

[0048] 73 Comparison module DETAILED DESCRIPTION

[0049] 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.

[0050] 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.

[0051] The following embodiments of the present invention provide a probability evaluation method for an 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.

[0052] 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).

[0053] 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).

[0054] 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.

[0055] Specifically, see Figure 2 In one embodiment of the invention, the probability evaluation method of the offshore carbon dioxide storage leakage signal of the present invention comprises the following steps:

[0056] Step S202, obtaining a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal;

[0057] Step S204, calculating the occurrence probability value of the leakage critical signal based on the time domain signal;

[0058] Step S206, comparing the occurrence probability value with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

[0059] 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.

[0060] Specifically, the method further includes plotting the sampled time domain signal in the form of a spectrum on the time axis to obtain a signal sampling diagram, wherein the time domain signal is a discrete signal, such as 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.

[0061] Furthermore, in one embodiment of the invention, the method also includes: acquiring user-defined data; identifying a leakage critical signal based on the user-defined data; and comparing the time domain signal with the leakage critical signal, wherein when the time domain signal is greater than or equal to the leakage critical signal, it is determined that a carbon dioxide leakage has occurred.

[0062] It should be noted that, in this embodiment, Figure 4 As shown, it is a flow chart of the probability evaluation method of the present application, wherein the user-defined data includes the leakage critical signal x0 and the critical probability index ρ0. Therefore, when applying, it is necessary to obtain the user-defined data, extract and identify the leakage critical signal x0 and the critical probability index ρ0 from them, and calculate the occurrence probability ρ(x0) of the leakage critical signal x0 based on the leakage critical signal combined with the preset probability calculation formula. t ≥x0), and use the obtained probability of occurrence ρ(x t ≥x0) is compared with the critical probability index ρ0, so as to judge whether leakage occurs by judging the size relationship between the two. t Compared with the leakage critical signal x0, when the time domain signal x t When it is greater than or equal to the leakage critical signal x0, it is determined that carbon dioxide leakage occurs, so ρ(x t ≥x0) is used to characterize the probability of current carbon dioxide leakage, so as to compare the probabilities and obtain the judgment results.

[0063] Specifically, the probability calculation formula includes a discrete probability density calculation formula, namely, the Dirlik probability density formula, based on which the probability of occurrence of the leakage critical signal x0 of the time domain signal in the time domain spectrum is calculated to obtain the occurrence probability value ρ(x t ≥x0), where the calculation formula is as follows:

[0064]

[0065] D3 = 1 - D1 + D2;

[0066]

[0067] Among them, the Dirlik method is an empirical method for estimating the fatigue life of a structure under random vibration. The formula is an empirical formula, in which the main parameters such as D1, D2, D3, R, Q, Z, β, x m It is an intermediate quantity used to fit the numerical simulation results by numerical approximation method, and has no specific physical meaning. In addition, the calculation method of each parameter is given in this embodiment, so it will not be repeated here. Further, the definition 0<β<1 (when β=1, it is a narrow spectrum, when β=0, it is a wide spectrum), then:

[0068]

[0069] Among them, x t is the time domain signal, x0 is the leakage critical signal, x m is the frequency domain signal, m0 is the zero-order power spectrum moment, m1 is the first-order power spectrum moment, m2 is the second-order power spectrum moment, m4 is the fourth-order power spectrum moment, and m n is the nth order power spectrum moment, T C is the cutoff frequency, T Z is the zero-crossing frequency, ρ(x t ≥x0) is the occurrence probability value; S yy (f) is a unilateral power spectrum, and f is a frequency; when the calculated occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage has occurred.

[0070] Furthermore, in one embodiment of the invention, the method also includes performing calculations based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal, 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.

[0071] 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 5 As shown, it is a schematic diagram of the amplitude spectrum of the currently monitored time domain signal in the frequency domain.

[0072] Further, 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 6As 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.

[0073] An embodiment of the present application also provides a probability assessment system for an offshore carbon dioxide storage leakage signal. The probability assessment system for an offshore carbon dioxide storage leakage signal can implement the probability assessment method for an offshore carbon dioxide storage leakage signal described in the present application. However, the implementation device of the probability assessment method for an offshore carbon dioxide storage leakage signal described in the present application includes but is not limited to the structure of the probability assessment system for an offshore carbon dioxide storage leakage signal listed in the present embodiment. All structural deformations and replacements of the prior art made according to the principles of the present application are included in the protection scope of the present application.

[0074] See also Figure 7 In one embodiment, this embodiment provides a probability evaluation system 70 for an offshore carbon dioxide storage leakage signal, the system comprising:

[0075] An acquisition module 71 is used to acquire a sampled time domain signal, wherein the signal types include at least a sound signal and a vibration signal;

[0076] A calculation module 72, configured to calculate an occurrence probability value of a leakage critical signal based on the time domain signal;

[0077] The comparison module 73 is used to compare the occurrence probability value with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

[0078] 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.

[0079] 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.

[0080] The calculation module 72 is used to calculate the occurrence probability value of the leakage critical signal based on the time domain signal, wherein the probability calculation is specifically performed using the Dirlik probability density formula, wherein the occurrence probability of the leakage critical signal x0 of the time domain signal in the time domain spectrum is calculated based on the probability calculation formula to obtain the occurrence probability value ρ(x t ≥x0).

[0081] The integration module 73 is used to compare the occurrence probability value with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that carbon dioxide leakage occurs, and the critical probability index ρ0 is obtained based on the user-defined data, thereby t ≥x0) is compared with the critical probability index ρ0 to determine whether carbon dioxide leakage occurs.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0087] The memory is used to store computer programs.

[0088] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0089] 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 probability evaluation method for offshore carbon dioxide storage leakage signals.

[0090] 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.

[0091] like Figure 8 As 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).

[0092] 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.

[0093] 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.

[0094] 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 8Not 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.

[0095] 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.

[0096] 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.

[0097] 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 probability evaluation method for offshore carbon dioxide storage leakage signal, 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 an occurrence probability value of a leakage critical signal based on the time domain signal; The occurrence probability value is compared with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

2. The probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 1 is 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 probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 2 is characterized in that: The method further comprises plotting the sampled time domain signal in the form of a spectrum on a time axis to obtain a signal sampling diagram, wherein the time domain signal is a discrete signal.

4. The probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 3 is characterized in that: The method further comprises: Get user-defined data; identifying a leakage critical signal based on the user defined data; The time domain signal is compared with the leakage critical signal, wherein when the time domain signal is greater than or equal to the leakage critical signal, it is determined that carbon dioxide leakage occurs.

5. The probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 3 is characterized in that: The calculating the occurrence probability value of the leakage critical signal based on the time domain signal specifically includes: Obtaining a probability calculation formula, wherein the probability calculation formula includes a discrete probability density calculation formula; The occurrence probability value is obtained by calculating the occurrence probability of the leakage critical signal of the time domain signal in the time domain spectrum based on the probability calculation formula.

6. The probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 5, characterized in that: The comparison between the occurrence probability value and the preset critical probability index specifically includes: Get user-defined data; identifying the critical probability indicator based on the user-defined data; The occurrence probability value is compared with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

7. The probability evaluation method for offshore carbon dioxide storage leakage signal according to claim 1, characterized in that: The method also includes performing calculations based on the time domain signal using Fourier transform to obtain the amplitude spectrum corresponding to the current time domain signal, filtering out phase information from the amplitude spectrum, and using an 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.

8. A probability evaluation system for offshore carbon dioxide storage leakage signals, characterized in that: include: An acquisition module, used to acquire sampled time domain signals, wherein the signal types include at least sound signals and vibration signals; A calculation module, used for calculating the occurrence probability value of the leakage critical signal based on the time domain signal; A comparison module is used to compare the occurrence probability value with a preset critical probability index, wherein when the occurrence probability value is greater than or equal to the critical probability index, it is determined that a carbon dioxide leakage occurs.

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

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