Ultra-high efficient aliasing acquisition force signal real-time quality control method, device, equipment and system
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA NAT PETROLEUM CORP
- Filing Date
- 2024-12-04
- Publication Date
- 2026-06-05
Smart Images
Figure CN122151174A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of geophysical exploration technology, particularly to the field of quality control technology for controllable seismic source construction in geophysical exploration, and specifically to a method, device, equipment, and system for real-time quality control of ultra-efficient aliased acquisition force signals. Background Technology
[0002] During the construction of ultra-efficient cascaded node acquisition, the time for each controllable seismic source to fire one shot is usually about 30 seconds. Based on 24-hour construction, the daily output of a single controllable seismic source is about 2,800 shots. Compared with conventional high-efficiency acquisition methods, the construction efficiency of ultra-efficient cascaded acquisition is very high, which also results in a very large amount of force signal file data generated every day.
[0003] Currently, the main method for quality control of force signals in this acquisition method is as follows: After completing their daily tasks, each operator of the controlled seismic source copies all force signal data generated during the day's fieldwork and brings it back to the camp for inspection. If an anomaly is detected, the corresponding blast point station number needs to be located, and the station number is then communicated to the fieldwork team to arrange for the controlled seismic source to be re-excited. This quality control method has two main problems. First, due to the lag in quality control, when the controlled seismic source is scheduled for re-excitation, the vehicle may have already been performing other tasks, requiring a significant amount of time to return to the re-excitation point, greatly wasting normal acquisition time and affecting construction efficiency. Second, when a large number of force signals have problems, the inability to conduct timely quality control can lead to new arrangements and arrangements, causing significant losses to project production. Therefore, in ultra-efficient aliased acquisition construction, there is an urgent need for a method that can perform real-time quality control of force signals at the work site to avoid the lag in camp data processing, reduce data security risks, and improve the efficiency of fieldwork operations. Summary of the Invention
[0004] To enable real-time inspection of force signals, thereby improving operational efficiency and reducing the risk of downtime in field operations due to data quality issues, and to further enrich technical approaches and increase the range of options, this invention provides a method, apparatus, equipment, and system for real-time quality control of ultra-efficient aliased force signal acquisition.
[0005] In a first aspect, embodiments of the present invention provide a method for real-time quality control of ultra-efficient aliased force signal acquisition, which may include:
[0006] Real-time acquisition of force signal data recorded by the controllable seismic source box;
[0007] The ground force signal data included in the force signal data is subjected to filtering corrosion check, neighborhood mean check, and correlation check between the ground force signal data and the reference signal data included in the force signal data.
[0008] Based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, anomaly judgment is made on the force signal data to achieve quality control of the force signal.
[0009] In one embodiment, anomaly detection of the force signal data based on the results of filtered corrosion inspection, neighborhood mean inspection, and / or correlation inspection may include:
[0010] If any of the following check results—filter corrosion check result, neighborhood mean check result, and correlation check result—is not within the preset check threshold range, then the force signal data is determined to be abnormal.
[0011] In one embodiment, performing filtering and corrosion checks on the ground signal data and anomaly detection on the force signal data may include:
[0012] The number of sample values included in the ground signal data is counted; if the number of counted sample values is less than the set number of sample values, the force signal data is judged to be abnormal.
[0013] If the number of statistical sample values is equal to the set number of sample points, it is determined whether there is a data segment in the ground signal data where the amplitude value of the sample points is continuously lower than the set value. The convolution value obtained by filtering and eroding based on the sample amplitude value is compared with a preset convolution anomaly threshold. If the convolution value is greater than the preset convolution anomaly threshold, the force signal data is determined to be normal; if it is less than the threshold, the force signal data is determined to be abnormal.
[0014] In one embodiment, the expression for the convolution value obtained by filtering and eroding the sample amplitude values is:
[0015]
[0016] Where h[k] is the impulse response of the filter; L is the length of the filter; and Fg[n] is the normalized ground force signal data.
[0017] In one embodiment, performing neighborhood mean checking on the ground signal data and anomaly detection on the force signal data may include:
[0018] The amplitude values of all samples in the ground force signal data are compared with the average amplitude of all samples in a preset number of neighborhoods before and after the sample point; if the amplitude value of any sample point is greater than a preset multiple of the average amplitude of its neighborhood, the force signal data is determined to be abnormal.
[0019] In one embodiment, performing a correlation check on the ground force signal data and the reference signal data, and determining anomalies in the force signal data, may include:
[0020] Pearson correlation analysis is performed on the sample amplitude values of the ground force signal data and the sample amplitude values of the reference signal data to determine the Pearson correlation coefficient between the ground force signal data and the reference signal data.
[0021] The Pearson correlation coefficient between the ground force signal data and the reference signal data is compared with a preset correlation threshold; if it is less than the correlation threshold, the force signal data is determined to be abnormal; otherwise, the force signal data is determined to be normal.
[0022] In one embodiment, after acquiring the force signal data recorded by the controllable seismic source box in real time, the method may further include:
[0023] The reference signal data and ground force signal data included in the force signal data are normalized to obtain normalized reference signal data and ground force signal data.
[0024] Secondly, embodiments of the present invention provide a real-time quality control device for ultra-efficient aliased force signal acquisition, which may include:
[0025] The acquisition module is used to acquire force signal data recorded by the controllable seismic source box in real time;
[0026] The inspection module is used to perform filtering corrosion inspection, neighborhood mean inspection, and correlation inspection on the ground force signal data included in the force signal data and the reference signal data included in the force signal data.
[0027] The judgment module is used to judge the anomalies of the force signal data based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, so as to achieve quality control of the force signal.
[0028] Thirdly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the ultra-efficient aliasing acquisition force signal real-time quality control method as described in the first aspect.
[0029] Fourthly, embodiments of the present invention provide a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the ultra-efficient aliasing acquisition force signal real-time quality control method as described in the first aspect.
[0030] Fifthly, embodiments of the present invention provide an ultra-efficient real-time quality control system for aliased acquisition force signals, comprising: a manager, a controllable seismic source housing, and a terminal device as described in the fourth aspect;
[0031] The controllable seismic source housing is used to record the force signal data excited by the controllable seismic source excitation system in real time;
[0032] The manager is connected to the controllable seismic source box via a network cable. The manager is used to read and store the force signal data recorded by the controllable seismic source box in real time.
[0033] The terminal device is communicatively connected to the manager and is used to acquire force signal data stored on the manager in real time. The terminal device is used to make real-time anomaly judgments based on the force signal data in order to achieve quality control of the force signal.
[0034] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:
[0035] This invention provides a method, apparatus, equipment, and system for real-time quality control of ultra-efficient aliased force signal acquisition. This method performs real-time checks on force signal data to promptly identify problems and control the data's quality. This approach not only improves operational efficiency but also reduces the risk of work stoppages due to data quality issues in the field, helping field geophysical personnel to perform real-time quality control and ensuring both efficiency and quality during data acquisition.
[0036] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.
[0037] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0038] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0039] Figure 1 This is a flowchart of the ultra-efficient aliasing acquisition force signal real-time quality control method provided in the embodiments of the present invention;
[0040] Figure 2 This is a flowchart of a detailed method for real-time quality control of ultra-efficient aliased force signal acquisition provided in this embodiment of the invention;
[0041] Figure 3This is a schematic diagram of the force signal data provided in the embodiments of the present invention;
[0042] Figure 4 These are scatter plots of ground force signal data sample points provided in this embodiment of the invention;
[0043] Figure 5 This is a schematic diagram of the structure of the ultra-efficient aliasing acquisition force signal real-time quality control device provided in this embodiment of the invention;
[0044] Figure 6 This is a schematic diagram of the structure of the ultra-efficient aliasing acquisition force signal real-time quality control system provided in this embodiment of the invention. Detailed Implementation
[0045] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
[0046] This invention provides a method for real-time quality control of ultra-efficient aliased force signal acquisition, referring to... Figure 1 As shown, the method may include the following steps:
[0047] Step S11: Acquire force signal data recorded by the controllable seismic source box in real time.
[0048] Step S12: Perform filtering corrosion check, neighborhood mean check, and correlation check on the ground force signal data included in the force signal data.
[0049] Step S13: Based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, perform anomaly judgment on force signal data to achieve quality control of force signal.
[0050] In this embodiment of the invention, if any of the following check results—the filter corrosion check result, the neighborhood mean check result, and the correlation check result—is not within the preset check threshold range when step S13 is executed, then the power signal data is deemed abnormal.
[0051] The ultra-efficient aliased force signal acquisition real-time quality control method provided in this embodiment of the invention checks the force signal data in real time, promptly identifies problems in the force signal data, and then performs quality control on the force signal data. This method not only improves operational efficiency but also reduces the risk of work stoppages due to data quality issues in field operations, helping field geophysical exploration personnel to perform real-time quality control and ensuring construction efficiency and quality during the data acquisition process.
[0052] In one specific embodiment, this invention provides a detailed method for real-time quality control of ultra-efficient aliased force signal acquisition, referring to... Figure 2 As shown, the method may include the following steps:
[0053] Step S21: Acquire force signal data recorded by the controllable seismic source box in real time.
[0054] The execution subject of the detailed, ultra-efficient aliasing acquisition force signal real-time quality control method provided in this embodiment of the invention can be a terminal device, such as a tablet computer. This tablet computer can be equipped with a "force signal real-time quality control system (platform / software)," and the controllable source housing will record the force signal data of each excitation by the controllable source. Combined with... Figure 6 As shown, the controllable source box is connected to the manager via a network cable. The manager reads and stores the force signal data recorded on the controllable source box in real time. The manager communicates with the terminal device, for example, via Wi-Fi. The terminal device obtains the force signal data recorded by the controllable source box from the manager in real time.
[0055] The force signal data in the embodiments of this invention typically includes four data channels, combined with... Figure 3 As shown, from left to right, they are: reference signal data, counterweight signal data, flat plate signal data, and ground signal data. The quality control method in this embodiment is based on the reference signal data and ground signal data. Therefore, in this embodiment, the ground signal data is defined as: F = {f1, f2, ..., f...} n}, where f n Let F be the sampled data; define the reference signal data as: R = {r1, r2, ..., r...} n}, where r n For sample data of R, in a force signal dataset, the number of sample values n for the ground force signal data and the reference signal data is the same. (Reference) Figure 4 The image shows a scatter plot of specific ground force signal data samples. Figure 4 The middle cut Figure 3 The ground signal data in the middle section is displayed using scatter plots.
[0056] Step S22: Normalize the reference signal data and ground force signal data included in the force signal data to obtain normalized reference signal data and ground force signal data.
[0057] In step S22 of this embodiment, in order to facilitate the calculation of data during subsequent inspection, the significant differences between the sample amplitude values in the reference signal data and the sample amplitude values in the ground force signal data are extracted. The reference signal data (R) and the ground force signal data (F) are normalized using the same normalization algorithm to obtain normalized reference signal data (Rg) and normalized ground force signal data (Fg).
[0058] Step S23: Perform filtering and corrosion checks on the ground signal data and make anomaly judgments on the force signal data.
[0059] In this step, the number of sample values included in the ground signal data is first counted. If the counted number of sample values is less than the set number of sample values, the force signal data is considered abnormal. If the counted number of sample values is equal to the set number of sample values, it is determined whether there are data segments in the ground signal data where the amplitude value of the sample values is continuously lower than the set value. The convolution value obtained by filtering and eroding the sample amplitude value is compared with the preset convolution anomaly threshold. If the convolution value is greater than the preset convolution anomaly threshold, the force signal data is considered normal. If it is less than the threshold, the force signal data is considered abnormal.
[0060] In this embodiment of the invention, the expression for the convolution value obtained by filtering and eroding the sample amplitude value is: Where h[k] is the impulse response of the filter; L is the length of the filter; and Fg[n] is the normalized ground force signal data.
[0061] In step S23 of this embodiment, the number of sample points in the normalized ground force signal data (Fg) from step S22 is counted. If the number of sample points is less than a set number of sample points (e.g., n), the force signal data is judged to be abnormal. If the number of sample points is equal to the set number of sample points, it is determined whether there are data segments in the ground signal data where the amplitude value of the sample points is continuously lower than the set value. Specifically, a filtering and erosion check based on filter and erosion operations is performed on the normalized ground force signal data (Fg). The convolution value obtained by filtering and eroding based on the sample point amplitude value is compared with a preset convolution anomaly threshold (T). If the convolution value is less than T, the force signal data is judged to be abnormal. Then the judgment signal data is abnormal.
[0062] In this embodiment of the invention, an example of normalized ground force signal data is as follows: Fg[n] = [2,3,2,1,0,-1,-2,-1,0,1,2,3], impulse response h[k] = [1 / 3,1 / 3,1 / 3], and the preset convolution anomaly threshold T is 1. The output result of the filter at each corresponding position can be calculated by the convolution of Fg and h. If the output result is greater than 1, the force signal data is judged to be normal; otherwise, it is judged to be abnormal.
[0063] Step S24: Perform neighborhood mean check on the ground signal data and determine anomalies in the force signal data. In this step, the amplitude values of all samples in the ground force signal data are compared with the average amplitude of all samples in the neighborhood of a preset number of samples before and after the sample. If the amplitude value of any sample is greater than a preset multiple of the average amplitude of its neighborhood, the force signal data is determined to be abnormal.
[0064] In this step, the arbitrary sample value f in Fg is... x To perform a neighborhood check, the number of preset sample points m within the preceding and following neighborhoods is set, and [f] is calculated. x-m f x+m The average value of all sample points in the sample is defined as f. vx Compare f x and f vx The size of f x If the value is too large, it is considered abnormal; otherwise, the output is normal.
[0065] In this embodiment of the invention, the number of preset sample points (m) in the neighborhood is set to 50. For each sample point value, 50 data points before and after the sample point value are selected, and the average value is calculated. If the amplitude value of the sample point differs too much from the average value (for example, it is set to 3 times according to the actual project requirements), the force signal data is determined to be abnormal data.
[0066] Step S25: Perform a correlation check on the ground force signal data and the reference signal data, and determine any anomalies in the force signal data.
[0067] In actual construction, the sample amplitude values of the normalized reference signal data (Rg) and the normalized ground force signal data (Fg) should ideally be roughly the same. In this embodiment, step S25 uses correlation analysis to determine anomalies in the force signal data. Specifically, this step first performs Pearson correlation analysis on the sample amplitude values of the ground force signal data and the reference signal data to determine their Pearson correlation coefficient. Then, the Pearson correlation coefficient is compared with a preset correlation threshold. If it is less than the threshold, the force signal data is considered abnormal; otherwise, it is considered normal.
[0068] In this step, the Pearson correlation coefficient (r) between the normalized ground force signal data and the reference signal data is first calculated. The specific calculation formula is as follows:
[0069]
[0070] Where r represents the Pearson correlation coefficient, x and y represent the sample amplitude values of Fg and Rg, respectively, and Σ represents the summation sign. and Let Fg and Rg represent the mean values, respectively. A threshold is set based on actual construction conditions. If r is greater than the given correlation threshold, the output is normal; otherwise, the output is abnormal. In this embodiment, based on construction experience, the correlation threshold is set to 0.3.
[0071] Step S26: Based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, perform anomaly judgment on force signal data to achieve quality control of force signal.
[0072] It should be noted that in this embodiment, if any of steps S23 to S25 above determines that the force signal data is abnormal, a warning signal will be issued directly to perform quality control on the force signal. It should also be noted that the execution order of steps S23 to S25 above in this embodiment is not important; if an abnormality in the force signal data is determined in one step, the other steps do not need to be executed.
[0073] The detailed, high-efficiency real-time quality control method for aliased force signal acquisition provided in this embodiment of the invention extracts and analyzes force signal data, and performs data checks based on multiple algorithms such as filters, similarity, and neighborhood averaging to ensure the accuracy of the check results. In field data acquisition operations, the method provided in this embodiment aims to achieve immediate verification of force signals, thereby improving operational efficiency and reducing the risk of field operation interruptions due to poor data quality. This method helps field geophysical exploration teams perform real-time quality monitoring to promptly identify and resolve potential problems in force signal data, ensuring high efficiency and data quality in data acquisition operations.
[0074] Based on the same inventive concept, this invention also provides an ultra-efficient real-time quality control device for aliased force signal acquisition, referring to... Figure 5 As shown, the device may include: an acquisition module 51, an inspection module 52, and a judgment module 53, and its working principle is as follows:
[0075] The acquisition module 51 is used to acquire force signal data recorded by the controllable seismic source box in real time;
[0076] The inspection module 52 is used to perform filtering corrosion inspection, neighborhood mean inspection, and correlation inspection on the ground force signal data included in the force signal data and the reference signal data included in the force signal data.
[0077] The judgment module 53 is used to make anomaly judgments on force signal data based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, so as to achieve quality control of force signal.
[0078] In one embodiment, if the inspection module 52 detects that any one of the inspection results—the filter corrosion inspection result, the neighborhood mean inspection result, and the correlation inspection result—is not within the preset inspection threshold range, then the judgment module 53 determines that the force signal data is abnormal.
[0079] In another embodiment, the inspection module 52 counts the number of sample values included in the ground signal data; if the counted number of sample values is less than a set number of sample values, the judgment module 53 determines that the force signal data is abnormal; if the counted number of sample values is equal to the set number of sample values, the judgment module 53 determines whether there is a data segment in the ground signal data where the amplitude value of the sample values is continuously lower than a set value, and compares the convolution value obtained by filtering and eroding based on the sample amplitude value with a preset convolution anomaly threshold; if the convolution value is greater than the preset convolution anomaly threshold, the judgment module 53 determines that the force signal data is normal; if it is less than the threshold, the judgment module 53 determines that the force signal data is abnormal.
[0080] In one embodiment, the inspection module 52 compares the amplitude values of all samples in the ground force signal data with the average amplitude of all samples in a preset number of neighborhoods before and after the sample; if the amplitude value of any sample is greater than a preset multiple of the average amplitude of its neighborhood, the judgment module 53 determines that the force signal data is abnormal.
[0081] In one embodiment, the inspection module 52 performs Pearson correlation analysis on the amplitude values of the sample points included in the ground force signal data and the amplitude values of the sample points included in the reference signal data to determine the Pearson correlation coefficient between the ground force signal data and the reference signal data; the inspection module 52 compares the Pearson correlation coefficient between the ground force signal data and the reference signal data with a preset correlation threshold; if it is less than the correlation threshold, the judgment module 53 determines that the force signal data is abnormal; otherwise, the judgment module 53 determines that the force signal data is normal.
[0082] Based on the same inventive concept, this embodiment of the invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-mentioned ultra-efficient aliasing acquisition force signal real-time quality control method.
[0083] Based on the same inventive concept, this embodiment of the invention also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned ultra-efficient aliasing acquisition force signal real-time quality control method.
[0084] Based on the same inventive concept, this invention also provides an ultra-efficient real-time quality control system for aliased force signals, referring to... Figure 6As shown, the system may include: a manager, a controllable source enclosure, and the aforementioned terminal device; the controllable source enclosure is used to record force signal data excited by the controllable source excitation system in real time; the manager is connected to the controllable source enclosure via a network cable, and the manager is used to read and store the force signal data recorded by the controllable source enclosure in real time; the terminal device is communicatively connected to the manager, and is used to acquire the force signal data stored on the manager in real time, and the terminal device is used to make real-time anomaly judgments based on the force signal data, so as to achieve quality control of the force signal.
[0085] The principles by which the above-described apparatus, medium, related equipment, and system in the embodiments of the present invention solve the problem are similar to those of the aforementioned methods. Therefore, their implementation can refer to the implementation of the aforementioned methods, and repeated details will not be repeated.
[0086] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.
[0087] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0088] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0089] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0090] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A method for real-time quality control of ultra-efficient aliased force signal acquisition, characterized in that, include: Real-time acquisition of force signal data recorded by the controllable seismic source box; The ground force signal data included in the force signal data is subjected to filtering corrosion check, neighborhood mean check, and correlation check between the ground force signal data and the reference signal data included in the force signal data. Based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, anomaly judgment is made on the force signal data to achieve quality control of the force signal.
2. The method according to claim 1, characterized in that, Based on the results of filtered corrosion inspection, neighborhood mean inspection, and / or correlation inspection, anomaly detection is performed on the force signal data, including: If any of the following check results—filter corrosion check result, neighborhood mean check result, and correlation check result—is not within the preset check threshold range, then the force signal data is determined to be abnormal.
3. The method according to claim 1, characterized in that, The process of filtering and corroding the ground signal data and identifying anomalies in the force signal data includes: The number of sample values included in the ground signal data is counted; if the number of counted sample values is less than the set number of sample values, the force signal data is judged to be abnormal. If the number of statistical sample values is equal to the set number of sample points, it is determined whether there is a data segment in the ground signal data where the amplitude value of the sample points is continuously lower than the set value. The convolution value obtained by filtering and eroding based on the sample amplitude value is compared with a preset convolution anomaly threshold. If the convolution value is greater than the preset convolution anomaly threshold, the force signal data is determined to be normal; if it is less than the threshold, the force signal data is determined to be abnormal.
4. The method according to claim 3, characterized in that, The expression for the convolution value obtained by filtering and eroding the sample amplitude values is: Where h[k] is the impulse response of the filter; L is the length of the filter; and Fg[n] is the normalized ground force signal data.
5. The method according to claim 1, characterized in that, Performing neighborhood mean checks on the ground signal data and anomaly detection on the force signal data includes: The amplitude values of all samples in the ground force signal data are compared with the average amplitude of all samples in a preset number of neighborhoods before and after the sample point; if the amplitude value of any sample point is greater than a preset multiple of the average amplitude of its neighborhood, the force signal data is determined to be abnormal.
6. The method according to claim 1, characterized in that, The correlation check between the ground force signal data and the reference signal data, and the anomaly detection of the force signal data, include: Pearson correlation analysis is performed on the sample amplitude values of the ground force signal data and the sample amplitude values of the reference signal data to determine the Pearson correlation coefficient between the ground force signal data and the reference signal data. The Pearson correlation coefficient between the ground force signal data and the reference signal data is compared with a preset correlation threshold; if it is less than the correlation threshold, the force signal data is determined to be abnormal; otherwise, the force signal data is determined to be normal.
7. The method according to any one of claims 1 to 6, characterized in that, After acquiring the force signal data recorded by the controllable seismic source box in real time, it also includes: The reference signal data and ground force signal data included in the force signal data are normalized to obtain normalized reference signal data and ground force signal data.
8. A real-time quality control device for ultra-high efficiency aliasing force signal acquisition, characterized in that, include: The acquisition module is used to acquire force signal data recorded by the controllable seismic source box in real time; The inspection module is used to perform filtering corrosion inspection, neighborhood mean inspection, and correlation inspection on the ground force signal data included in the force signal data and the reference signal data included in the force signal data. The judgment module is used to judge the anomalies of the force signal data based on the results of filter corrosion inspection, neighborhood mean inspection and / or correlation inspection, so as to achieve quality control of the force signal.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the ultra-efficient aliasing acquisition force signal real-time quality control method as described in any one of claims 1 to 7.
10. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the ultra-efficient aliasing acquisition force signal real-time quality control method as described in any one of claims 1 to 7.
11. A real-time quality control system for ultra-efficient aliased force signal acquisition, characterized in that, include: Manager, controllable seismic source enclosure, and terminal device as described in claim 10; The controllable seismic source housing is used to record the force signal data excited by the controllable seismic source excitation system in real time; The manager is connected to the controllable seismic source box via a network cable. The manager is used to read and store the force signal data recorded by the controllable seismic source box in real time. The terminal device is communicatively connected to the manager and is used to acquire force signal data stored on the manager in real time. The terminal device is used to make real-time anomaly judgments based on the force signal data in order to achieve quality control of the force signal.