Environmental noise monitoring method, system, equipment and medium

Abstract

The invention belongs to the technical field of seismic exploration, and particularly discloses an environmental noise monitoring method, device, equipment and medium, and a wireless communication unit of a noise acquisition module in the system is connected with a signal input end of an intelligent earthquake team command center cloud platform; a wireless communication unit of the seismic wave detector is connected with a signal input end of the intelligent seismic team command center cloud platform; the first signal output end of the intelligent earthquake team command center cloud platform is connected with the signal input end of the noise monitoring module, and the second signal output end of the intelligent earthquake team command center cloud platform is connected with the upper computer. According to the invention, the noise of the external environment in the use process of the node instrument can be monitored, the abnormal condition of the environment noise can be found and processed in time, and the condition of data quality reduction or waste cannon is avoided. The device is suitable for excitation and acquisition construction of seismic exploration.

Description

Technical Field

[0001] The present invention belongs to the technical field of seismic exploration, and specifically relates to a method, device, equipment and medium for environmental noise monitoring. Background Art

[0002] In recent years, oil exploration equipment has been transitioning from wired acquisition equipment to wireless acquisition equipment. Wireless systems have the advantages of infinite-channel acquisition, high construction efficiency, and low cost, and are recognized and used by major oil companies. The eSeis Neo node acquisition system is a new generation of seismic instrument independently developed by BGP, and has been applied on a large scale in various exploration areas in China. In order to meet the technical requirements of "double high and double complex", BGP has vigorously promoted the application of node instruments and launched a million-channel eSeis Neo node project.

[0003] During the construction and acquisition process of node equipment, the node equipment needs to be recovered and data processed only after the current layout acquisition is completed. This process may last for 2 weeks or even longer. During this period, phenomena such as earthquakes, wind, rain, snow, and highway interference may occur. If an earthquake occurs, even seismic waves that we cannot feel will cause serious interference to the acquisition. Especially when a large earthquake occurs in the vicinity, the earthquake will continuously interfere with the acquisition. These interferences will all affect the quality of the data. In the initial stage of the development of node equipment, compared with wired equipment, node equipment cannot monitor external environmental noise in real time during the acquisition process and is in a blind firing stage during the excitation acquisition. It is necessary to recover the equipment to find that there is a problem with the data quality. At this time, it is necessary to re-lay out the layout and re-fire the shots, and the rework has caused great losses to the production scheduling, manpower, and material resources of seismic acquisition and has caused serious losses to production. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and medium for environmental noise monitoring to monitor the noise of the external environment during the use of node instruments in real time, timely discover and handle abnormal environmental noise conditions, and ensure the quality of the acquired data.

[0005] The technical method adopted by the present invention to achieve the above purpose is as follows: An environmental noise monitoring system includes a noise acquisition module, a seismic wave detector, an intelligent seismic team command center cloud platform, a host computer installed with seismic wave data analysis software, and a noise monitoring module; the noise acquisition module is set based on eSeisNeo node instruments, and further includes a noise data recovery unit and a wireless communication unit. The signal output end of the eSeis Neo node instrument is connected to the signal output end of the noise data recovery unit, and the signal output end of the noise data recovery unit is connected to the wireless communication unit; a wireless communication unit is built in the seismic wave detector; the wireless communication unit of the noise acquisition module is connected to the signal input end of the intelligent seismic team command center cloud platform; the wireless communication unit of the seismic wave detector is connected to the signal input end of the intelligent seismic team command center cloud platform; the first signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the noise monitoring module, and the second signal output end of the intelligent seismic team command center cloud platform is connected to the host computer.

[0006] As a limitation: An environmental noise monitoring system further includes a sub-bandwidth wireless ad-hoc network module. When there is no network signal in the wireless communication unit of the noise acquisition module, the wireless communication unit of the noise acquisition module is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is a network signal in the wireless communication unit of the noise acquisition module, the wireless communication unit of the noise acquisition module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is no network signal in the wireless communication unit of the seismic wave detector, the wireless communication unit of the seismic wave detector is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is a network signal in the wireless communication unit of the seismic wave detector, the wireless communication unit of the seismic wave detector is connected to the signal input end of the intelligent seismic team command center cloud platform.

[0007] As a further limitation: An environmental noise monitoring system further includes an intelligent dashboard, and the third signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the intelligent dashboard.

[0008] The present invention also discloses an environmental noise monitoring method, including the following steps: S1. In the arrangement of node instruments in the work area, the noise acquisition module and the seismic wave detector are dispersedly arranged. S2. The noise acquisition module acquires the environmental noise in the work area, the noise data recovery unit recovers the noise data, and then encrypts it through the wireless communication unit and uploads it to the intelligent seismic team command center cloud platform. S3. The intelligent seismic team command center cloud platform analyzes the received noise data to determine whether the amplitude of the noise data exceeds the standard. If the amplitude of the noise data does not exceed the standard, seismic excitation operations are started. If the amplitude of the noise data exceeds the standard, an alarm signal is sent to the noise monitoring module. The noise monitoring module issues an alarm to alert the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current amplitude of the noise data exceeds the standard and execute step S4; S4. After the field excitation personnel start seismic excitation operations, the seismic wave detector collects the original seismic wave data, processes the data, and encrypts the processed seismic wave data through the internal wireless communication unit and uploads it to the intelligent seismic team command center cloud platform; S5. The intelligent seismic team command center cloud platform uploads the received seismic wave data to the host computer. The seismic wave data analysis software in the host computer determines whether the seismic wave data is interfered by external environmental noise according to the frequency. If the seismic wave data is not interfered, the seismic excitation operations continue. If the seismic wave data is interfered, the host computer sends an alarm signal to alert the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current seismic wave data is interfered by external environmental noise and terminate the seismic excitation operations.

[0009] As a limitation: Step S1 also includes deploying a sub-bandwidth wireless ad hoc network module within one kilometer near the deployed noise collection module in the area where there is no network signal in the internal wireless communication unit of the noise collection module; deploying a sub-bandwidth wireless ad hoc network module within one kilometer near the deployed seismic wave detector in the area where there is no network signal in the internal wireless communication unit of the seismic wave detector.

[0010] As a further limitation: Step S2 also includes: If the wireless communication unit of the noise collection module has no network signal, the wireless communication unit uploads the encrypted noise data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad hoc network module.

[0011] As a further limitation: Step S4 also includes: If the wireless communication unit of the seismic wave detector has no network signal, the wireless communication unit uploads the encrypted seismic wave data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad hoc network module.

[0012] As a further limitation: Step S3 also includes the intelligent seismic team command center cloud platform sending the analyzed noise data to the intelligent dashboard for users to view; Step S5 also includes the intelligent seismic team command center cloud platform uploading the received seismic wave data to the intelligent dashboard for users to view.

[0013] The present invention also discloses an electronic device, which includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor. When the processor executes the computer program, the above-mentioned method is implemented.

[0014] The present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method is implemented.

[0015] Due to the adoption of the above solutions, the beneficial effects achieved by the present invention compared with the prior art are as follows: (1) An environmental noise monitoring method and system provided by the present invention can monitor the noise of the external environment during the use of node instruments in real time by arranging noise collection modules and seismic wave detectors in the arrangement of node instruments in the work area and uploading the collected information to the intelligent seismic team command center cloud platform. It can timely discover and handle abnormal environmental noise situations. If the amplitude of the noise data exceeds the standard, it is then judged whether the seismic wave data is interfered by environmental noise. The noise collection module and the seismic wave detector cooperate with each other to judge whether the excitation operation can continue, assisting the on-site construction personnel to promptly correct existing problems and avoiding the situation of data quality degradation or waste shots; an sub-bandwidth wireless ad hoc network module is arranged in the area where there is no network signal in the wireless communication units inside the noise collection module and the seismic wave detector, improving the data transmission efficiency; the noise collection module is set based on the eSeis Neo node instrument, expanding the functions of the eSeis Neo node instrument, enabling it to be fully integrated into the intelligent seismic team command center cloud platform, enhancing the environmental adaptability and comprehensive application effect of the eSeis Neo node instrument, better meeting the needs of the geophysical exploration team for efficient operation, and continuously exerting the technical advantages of the autonomous node instrument; (2) The present invention also provides corresponding electronic devices and readable storage media, further making the method more practical, and the electronic devices and readable storage media have corresponding advantages.

[0016] The present invention is applicable to the excitation and acquisition construction of seismic exploration. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] Figure 1 It is a structural block diagram of an environmental noise monitoring system according to Embodiment 1 of the present invention; Figure 2 It is a flowchart of noise data transmission according to Embodiment 2 of the present invention; Figure 3 It is a flowchart of seismic wave data transmission according to Embodiment 2 of the present invention; Figure 4Schematic diagram of the layout of the noise acquisition module and the sub-bandwidth wireless ad-hoc network module in Embodiment 2 of the present invention; Figure 5 Schematic diagram of the structure of an electronic device in Embodiment 3 of the present invention. Detailed implementation manners

[0019] The present invention will be further described below in conjunction with embodiments. However, those skilled in the art should understand that the present invention is not limited to the following embodiments, and any improvements and equivalent changes made on the basis of the specific embodiments of the present invention are within the scope of protection of the claims of the present invention.

[0020] Embodiment 1 An environmental noise monitoring system An environmental noise monitoring system, as Figure 1 shown, includes a noise acquisition module, a seismic wave detector, a sub-bandwidth wireless ad-hoc network module, an intelligent seismic team command center cloud platform, a host computer, an intelligent dashboard, and a noise monitoring module; the noise acquisition module is set based on the eSeis Neo node instrument, and further includes a noise data recovery unit and a wireless communication unit. The signal output end of the eSeis Neo node instrument is connected to the signal output end of the noise data recovery unit, and the signal output end of the noise data recovery unit is connected to the wireless communication unit; a wireless communication unit is built in the seismic wave detector; and Klang software for seismic exploration is installed in the host computer.

[0021] When the wireless communication unit of the noise acquisition module has no network signal, the wireless communication unit of the noise acquisition module is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when the wireless communication unit of the noise acquisition module has a network signal, the wireless communication unit of the noise acquisition module is connected to the signal input end of the intelligent seismic team command center cloud platform; when the wireless communication unit of the seismic wave detector has no network signal, the wireless communication unit of the seismic wave detector is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when the wireless communication unit of the seismic wave detector has a network signal, the wireless communication unit of the seismic wave detector is connected to the signal input end of the intelligent seismic team command center cloud platform; the first signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the noise monitoring module, the second signal output end of the intelligent seismic team command center cloud platform is connected to the host computer, and the third signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the intelligent dashboard.

[0022] Embodiment 2 An environmental noise monitoring method An environmental noise monitoring method, as Figure 2 and Figure 3As shown, it includes the following steps: S1. In the arrangement of node instruments in the work area, noise acquisition modules and single-point geophones are scattered to monitor the natural environment of the entire work area, such as the impact of noise generated by wind, rain, snow, earthquakes, etc. on construction acquisition. Noise acquisition modules and single-point geophones are arranged in key areas to monitor man-made noise interference from large drills, factories, railways, highways, etc. on the oilfield in the work area. A set of seismic wave detectors is arranged in each work area, and each set of seismic wave detectors carries 20 single-point geophones; within the area where there is no network signal in the wireless communication unit inside the noise acquisition module, a sub-bandwidth wireless ad-hoc network module is arranged within a range of one kilometer near the arranged noise acquisition module; within the area where there is no network signal in the wireless communication unit inside the seismic wave detector, a sub-bandwidth wireless ad-hoc network module is arranged within a range of nearly one kilometer near the arranged seismic wave detector. The layout of the noise acquisition equipment and the layout position of the sub-bandwidth wireless ad-hoc network module are shown in the schematic diagram on the intelligent dashboard as Figure 4 shown; the key area refers to the construction areas in the work area with noise interference from highways, railways, factories and large drill interference in the oil area; S2. The noise acquisition module acquires the environmental noise in the work area, and the noise data recovery unit recovers the noise data, which is then encrypted through the wireless communication unit and uploaded to the intelligent seismic team command center cloud platform. If there is no network signal in the wireless communication unit, the wireless communication unit uploads the encrypted noise data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad-hoc network module; in this embodiment, the wireless communication unit inside the noise acquisition equipment is a 4G network unit; S3. The intelligent seismic team command center cloud platform analyzes the received noise data, determines whether the amplitude of the noise data exceeds the standard, and sends the analyzed noise data to the intelligent dashboard for users to view; if the amplitude of the noise data does not exceed the standard, seismic excitation operations are started. If the amplitude of the noise data exceeds the standard, an alarm signal is sent to the noise monitoring module. The noise monitoring module issues an alarm to remind the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current noise data amplitude exceeds the standard and execute step S4; the noise data is equivalent input noise, and the standard for determining whether the amplitude of the noise data exceeds the standard is: when the work area is flat, the amplitude of the noise data is controlled within 7 μV, and exceeding 7 μV is considered exceeding the standard; when the work area is mountainous, the amplitude of the noise data is controlled within 15 μV, and exceeding 15 μV is considered exceeding the standard; S4. After the field excitation personnel start the seismic excitation operation, the seismic wave detector collects the original seismic wave data, processes the data, encrypts the processed seismic wave data through its internal wireless communication unit, and uploads it to the intelligent seismic team command center cloud platform. If there is no network signal in the wireless communication unit, the wireless communication unit uploads the encrypted seismic wave data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad-hoc network module; in this embodiment, the wireless communication units inside the seismic wave detector are all 4G network units. S5. The intelligent seismic team command center cloud platform uploads the received seismic wave data to the intelligent dashboard and the host computer. The intelligent dashboard is used for users to view. The Kron software in the host computer judges whether the seismic wave data is interfered by external environmental noise. If the seismic wave data is not interfered, the seismic excitation operation continues. If the seismic wave data is interfered, the host computer sends an alarm signal to remind the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current seismic wave data is interfered by external environmental noise, and the seismic excitation operation is terminated; the standard for the Kron software to judge whether the seismic wave data is interfered by external environmental noise is: judge according to the frequency. The effective seismic wave frequency is between 20 - 60 Hz, the high-frequency wind interference is above 65 Hz, the sound wave is above 100 Hz, the interference frequencies of large vehicles, bulldozers and earthquake roads are between 20 - 40 Hz, and the high-voltage line interference is at 50 Hz.

[0023] Embodiment 3 An environmental noise monitoring device and medium This embodiment also provides an electronic device, the structure of which is as Figure 5 shown, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor. When the processor executes the computer program, the method described in Embodiment 2 is implemented.

[0024] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in Embodiment 2 is implemented.

Claims

1. An environmental noise monitoring system, characterized in that, it includes a noise acquisition module, a seismic wave detector, an intelligent seismic team command center cloud platform, a host computer installed with seismic wave data analysis software, and a noise monitoring module; the noise acquisition module is set based on the eSeis Neo node instrument, and further includes a noise data recovery unit and a wireless communication unit. The signal output end of the eSeis Neo node instrument is connected to the signal output end of the noise data recovery unit, and the signal output end of the noise data recovery unit is connected to the wireless communication unit; a wireless communication unit is built in the seismic wave detector; the wireless communication unit of the noise acquisition module is connected to the signal input end of the intelligent seismic team command center cloud platform; the wireless communication unit of the seismic wave detector is connected to the signal input end of the intelligent seismic team command center cloud platform; the first signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the noise monitoring module, and the second signal output end of the intelligent seismic team command center cloud platform is connected to the host computer.

2. The environmental noise monitoring system according to claim 1, characterized in that, it further includes a sub-bandwidth wireless ad-hoc network module. When there is no network signal in the wireless communication unit of the noise acquisition module, the wireless communication unit of the noise acquisition module is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is a network signal in the wireless communication unit of the noise acquisition module, the wireless communication unit of the noise acquisition module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is no network signal in the wireless communication unit of the seismic wave detector, the wireless communication unit of the seismic wave detector is connected to the sub-bandwidth wireless ad-hoc network module, and the sub-bandwidth wireless ad-hoc network module is connected to the signal input end of the intelligent seismic team command center cloud platform; when there is a network signal in the wireless communication unit of the seismic wave detector, the wireless communication unit of the seismic wave detector is connected to the signal input end of the intelligent seismic team command center cloud platform.

3. The environmental noise monitoring system according to claim 1 or 2, characterized in that, it further includes an intelligent dashboard, and the third signal output end of the intelligent seismic team command center cloud platform is connected to the signal input end of the intelligent dashboard.

4. An environmental noise monitoring method, characterized in that, it includes the following steps: S1. In the arrangement of node instruments in the work area, the noise acquisition module and the seismic wave detector are dispersed and arranged; S2. The noise acquisition module collects the environmental noise in the work area, the noise data recovery unit recovers the noise data, and then encrypts it through the wireless communication unit and uploads it to the intelligent seismic team command center cloud platform; S3. The intelligent seismic team command center cloud platform analyzes the received noise data to judge whether the amplitude of the noise data exceeds the standard. If the amplitude of the noise data does not exceed the standard, the seismic excitation operation is started. If the amplitude of the noise data exceeds the standard, an alarm signal is sent to the noise monitoring module. The noise monitoring module issues an alarm to remind the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current noise data amplitude exceeds the standard and execute step S4; S4. After the field excitation personnel start the seismic excitation operation, the seismic wave detector collects the original seismic wave data, processes the data, encrypts the processed seismic wave data through its internal wireless communication unit, and uploads it to the intelligent seismic team command center cloud platform; S5. The intelligent seismic team command center cloud platform uploads the received seismic wave data to the host computer. The seismic wave data analysis software in the host computer determines whether the seismic wave data is interfered by external environmental noise according to the frequency. If the seismic wave data is not interfered, the seismic excitation operation continues. If the seismic wave data is interfered, the host computer sends an alarm signal to remind the noise monitoring personnel, and then the noise monitoring personnel notify the field excitation personnel that the current seismic wave data is interfered by external environmental noise, and the seismic excitation operation is terminated.

5. An environmental noise monitoring method according to claim 4, characterized in that, Step S1 further includes arranging a sub-bandwidth wireless ad hoc network module within one kilometer near the arranged noise collection module in the area where there is no network signal in the wireless communication unit inside the noise collection module; arranging a sub-bandwidth wireless ad hoc network module within one kilometer near the arranged seismic wave detector in the area where there is no network signal in the wireless communication unit inside the seismic wave detector.

6. An environmental noise monitoring method according to claim 5, characterized in that, Step S2 further includes: if there is no network signal in the wireless communication unit of the noise collection module, the wireless communication unit uploads the encrypted noise data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad hoc network module.

7. An environmental noise monitoring method according to claim 5, characterized in that, Step S4 further includes: if there is no network signal in the wireless communication unit of the seismic wave detector, the wireless communication unit uploads the encrypted seismic wave data to the intelligent seismic team command center cloud platform through the sub-bandwidth wireless ad hoc network module.

8. An environmental noise monitoring method according to any one of claims 4-7, characterized in that, Step S3 further includes that the intelligent seismic team command center cloud platform sends the analyzed noise data to the intelligent dashboard for users to view; Step S5 further includes that the intelligent seismic team command center cloud platform uploads the received seismic wave data to the intelligent dashboard for users to view.

9. An electronic device, characterized in that, comprising a memory, a processor, and a computer program stored on the memory and capable of running on the processor, and when the processor executes the computer program, the method according to any one of claims 4-8 is implemented.

10. A computer-readable storage medium, characterized in that, a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the method according to any one of claims 4-8 is implemented.

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