Underground pipeline multi-modal data anti-interference directional transmission system

Abstract

The invention relates to the technical field of underground pipeline data transmission, and discloses an underground pipeline multi-modal data anti-interference directional transmission system, which comprises the following transmission systems: a multi-modal data fusion transmission module for heterogeneous data integration and transmission optimization; the self-adaptive anti-interference module is used for dynamically coping with a complex interference environment; the intelligent directional transmission system enhances signal penetrability and transmission distance. According to the underground pipeline multi-modal data anti-interference directional transmission system, the whole system constructs a multi-modal cooperative transmission matrix by integrating acoustic vibration, optical fiber strain and electromagnetic flaw detection three kinds of heterogeneous sensor data, and the multi-modal cooperative transmission matrix is obtained by combining a layered quantization coding technology (TDMA time slot frame dynamic allocation). The problems that the traditional single-mode data is easily interfered and the coverage dimension is limited are solved; based on a dynamic bandwidth allocation algorithm (DBA 2.0), the system can dynamically adjust the data weight (alpha = 0.3-0.7) of each modal according to the channel quality, thereby avoiding channel competition conflicts during multi-modal concurrent transmission.

Description

Technical Field

[0001] This invention relates to the field of underground pipeline data transmission technology, specifically to an underground pipeline multimodal data anti-interference directional transmission system. Background Technology

[0002] Underground pipelines often encounter factors such as electromagnetic interference, humidity, temperature variations, and mechanical vibration, all of which can affect the stability of data transmission. Therefore, the design of the transmission system needs to be optimized to address these interference sources. Multimodal data typically refers to data from different sensors or sources, such as sound, images, and temperature. In the underground pipeline environment, this may include structural health monitoring data, environmental parameters, and leak detection data. Regarding interference resistance, the underground environment may contain electromagnetic interference, physical obstacles, or other noise, requiring the design of effective anti-interference measures. Directional transmission may involve technologies such as signal beamforming and directional antennas to ensure that data is accurately transmitted to the designated node and to reduce signal attenuation and interference.

[0003] According to the invention patent application No. 202310625095.5, a high-flow-rate data transmission system for underground culvert detection is proposed. This system seems to solve the problems of the lack of a supporting data transmission system for existing underground culvert systems, the inability to transmit detected data in a timely manner, and the low transmission efficiency of existing underground culvert detection data transmission systems. However, when this high-flow-rate data transmission system is put into use, the single-sensor modal data is easily affected by interference sources such as sudden changes in the electromagnetic field inside the pipeline and mechanical vibration harmonics, thus affecting the transmission effect of the system. Therefore, it is necessary to propose an anti-interference internal directional transmission system for multi-modal data of underground pipelines to solve the above-mentioned problems. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an anti-interference directional transmission system for multimodal data in underground pipelines. This system has advantages such as improving the overall transmission effect of the transmission system and solves the problem in the prior art where single-sensor modal data is easily affected by interference sources such as sudden changes in the electromagnetic field inside the pipeline and mechanical vibration harmonics, thereby affecting the transmission effect of the transmission system.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: an anti-interference directional transmission system for multimodal data of underground pipelines, comprising the following transmission system: Multimodal data fusion and transmission module: heterogeneous data integration and transmission optimization; Adaptive anti-interference module: dynamically responds to complex interference environments; Intelligent directional transmission system: enhances signal penetration and transmission distance; The multimodal data fusion transmission module includes: (1) constructing a heterogeneous sensor data collaborative matrix to integrate three types of modal data: acoustic vibration sensor, distributed optical fiber strain sensing unit, and electromagnetic flaw detector; (2) using hierarchical quantization coding technology to package each modal data into a TDMA time slot frame with priority identifier; The adaptive anti-interference module includes a three-level anti-interference mechanism working collaboratively. The intelligent directional transmission system includes a directional transmission subsystem.

[0006] Furthermore, the layered quantization coding technique includes: Physical layer: Implements analog-to-digital conversion and normalization. Protocol layer: Design a dynamic bandwidth allocation algorithm to dynamically adjust the proportion of each mode according to the channel state (weighting coefficient α = 0.3-0.7). Application layer: Deploy a multimodal data fusion engine to achieve joint determination of abnormal states through DS evidence theory.

[0007] Furthermore, the three-level anti-interference mechanism collaborative operation module includes: Front-end protection: Deploy a tunable band-stop filter at the transceiver input to automatically identify and suppress interference in specific frequency bands; Transmission relay: Employs RS-LDPC concatenated coding, with an error correction capability of 10⁻ 9 Bit error rate; Backend compensation: An interference feature library is built based on the LMS adaptive algorithm, and the noise cancellation parameters are updated in real time.

[0008] Furthermore, the directional transmission subsystem includes: Dual-polarized MIMO antenna array; 3D beamforming controller; Beampath planning algorithm based on pipeline topology.

[0009] Furthermore, the dual-polarized MIMO antenna array includes a dual-polarized antenna and a MIMO antenna array. The dual-polarized antenna is a single antenna element that can simultaneously support two orthogonal polarization modes (such as horizontal + vertical, or +45° / -45° slant polarization) to form two independent channels. The MIMO antenna array transmits data streams in parallel through multiple transmit antennas (Tx) and receive antennas (Rx), utilizing spatial diversity and spatial multiplexing to improve channel capacity and reliability.

[0010] Furthermore, the beam path planning algorithm for the pipeline topology includes a signal attenuation model within the pipeline and an effective signal-to-noise ratio calculation; The path loss within the pipe in the signal attenuation model of the pipe. It is the sum of free space loss, material penetration loss, and reflection loss: Free space loss Distance (km) Frequency (MHz); Pipe wall material loss (metal pipe) ≈30dB / m, concrete ≈10dB / m); : Number of reflections, L ≈ 2dB / reflection (reflection loss of metal surface); Effective signal-to-noise ratio calculation: , Transmit power (dBm) Thermal noise (kTB) Co-channel interference power (dBm).

[0011] (III) Beneficial Effects Compared with the prior art, the present invention provides an anti-interference directional transmission system for multimodal data in underground pipelines, which has the following advantages: 1. This underground pipeline multimodal data anti-interference directional transmission system integrates data from three heterogeneous sensors—acoustic vibration, fiber optic strain, and electromagnetic flaw detection—to construct a multimodal collaborative transmission matrix. Combined with layered quantization coding technology (TDMA time slot frame dynamic allocation), it solves the problems of traditional single-modal data being susceptible to interference and having limited coverage dimensions. Based on a dynamic bandwidth allocation algorithm (DBA 2.0), the system can dynamically adjust the weights of each modal data (α=0.3-0.7) according to channel quality, avoiding channel contention during concurrent multimodal transmission. The layered protocol design (physical layer, protocol layer, application layer) supports flexible access to various sensor types and will be compatible with new modal data such as infrared thermal imaging and gas composition detection in the future, providing a standardized technical framework for multi-parameter fusion monitoring of smart pipeline networks.

[0012] 2. This underground pipeline multi-modal data anti-interference directional transmission system adopts a three-level anti-interference architecture of "front-end protection - transmission relay - back-end compensation". It comprehensively utilizes tunable band-stop filters (to suppress specific interferences such as 50Hz power frequency harmonics) and RS-LDPC cascaded coding (error correction capability up to 10⁻). 9The system employs a bit error rate (BER) and an LMS adaptive noise cancellation algorithm (convergence speed <50ms). By updating the interference feature library and noise cancellation parameters in real time, the system can dynamically adapt to the complex and ever-changing electromagnetic field environment within the pipeline (such as lightning induction, harmonics from frequency converters, etc.), avoiding the performance degradation problem of traditional fixed threshold anti-interference schemes. A real-world test case in a natural gas pipeline shows that the system's BER fluctuation range is <±5% during continuous 24-hour operation, demonstrating significantly better stability than existing technologies. The automated operation of the anti-interference module reduces the frequency of manual intervention, while the redundant design of the RS-LDPC encoding (15% redundancy) can tolerate single-node failures, reducing the overall system maintenance cost by approximately 40%.

[0013] 3. This underground pipeline multimodal data anti-interference directional transmission system, based on a dual-polarized MIMO antenna array (gain 18dBi) and a three-dimensional beamforming controller (beamwidth ≤5°), achieves spatial focusing of signal energy, with an energy utilization efficiency of 82% (5.2 times higher than omnidirectional transmission). In an 8.7km long pipeline test, directional transmission reduced path loss by 40%, effectively extending node endurance. Through sidelobe level suppression technology (sidelobe < -25dB), the system significantly reduces the risk of signal being illegally intercepted or eavesdropped, meeting the data transmission requirements of high-security scenarios such as oil and gas pipelines and military tunnels. The beam path planning algorithm based on pipeline topology can dynamically calculate the optimal transmission elevation angle (azimuth ±60°, elevation -30°~+45°), automatically avoiding physical obstacles such as pipeline bends and flange interfaces. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the main structure of the directional transmission system of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Please see Figure 1 The underground pipeline multimodal data anti-interference directional transmission system includes the following transmission systems: Multimodal data fusion and transmission module: heterogeneous data integration and transmission optimization; Adaptive anti-interference module: dynamically responds to complex interference environments; Intelligent directional transmission system: enhances signal penetration and transmission distance; The multimodal data fusion transmission module includes: (1) constructing a heterogeneous sensor data collaborative matrix to integrate three types of modal data: acoustic vibration sensor, distributed optical fiber strain sensing unit, and electromagnetic flaw detector; (2) using hierarchical quantization coding technology to package each modal data into a TDMA time slot frame with priority identifier; The adaptive anti-interference module includes a three-level anti-interference mechanism working collaboratively. The intelligent directional transmission system includes a directional transmission subsystem.

[0017] In the case implementation, the entire system integrates data from three heterogeneous sensors—acoustic vibration, fiber optic strain, and electromagnetic flaw detection—to construct a multimodal collaborative transmission matrix. Combined with hierarchical quantization coding technology (TDMA time slot frame dynamic allocation), it solves the problems of traditional single-mode data being susceptible to interference and having limited coverage dimensions. Based on the dynamic bandwidth allocation algorithm (DBA 2.0), the system can dynamically adjust the weights of each mode of data (α=0.3-0.7) according to channel quality, avoiding channel contention conflicts during multimodal concurrent transmission.

[0018] In the case implementation, the layered protocol design (physical layer, protocol layer, application layer) supports flexible access to multiple sensor types and can be compatible with new modal data such as infrared thermal imaging and gas composition detection in the future, providing a standardized technical framework for multi-parameter fusion monitoring of smart pipeline networks.

[0019] In the implementation of this case, the system adopts a three-level anti-interference architecture of "front-end protection - transmission relay - back-end compensation", which comprehensively utilizes tunable band-stop filters (to suppress specific interferences such as 50Hz power frequency harmonics) and RS-LDPC cascaded coding (with an error correction capability of 10⁻). 9 Bit error rate) and LMS adaptive noise cancellation algorithm (convergence speed <50ms).

[0020] In the case study, by updating the interference feature library and noise cancellation parameters in real time, the system can dynamically adapt to the complex and ever-changing electromagnetic field environment within the pipeline (such as lightning induction and harmonics from frequency converters), avoiding the performance degradation problem of traditional fixed-threshold anti-interference schemes. A real-world test case on a natural gas pipeline showed that the system's bit error rate fluctuation range was <±5% during continuous 24-hour operation, demonstrating significantly better stability than existing technologies.

[0021] In the implementation of the case, the automated operation of the anti-interference module reduced the frequency of manual intervention, while the redundant design of RS-LDPC coding (redundancy of 15%) can tolerate single-node failures, reducing the overall system operation and maintenance cost by about 40%.

[0022] In the case implementation, based on a dual-polarized MIMO antenna array (gain 18dBi) and a three-dimensional beamforming controller (beamwidth ≤5°), the system achieves spatial focusing of signal energy, with an energy utilization efficiency of 82% (5.2 times higher than omnidirectional transmission).

[0023] In the case study, during the test on an 8.7km long pipeline, directional transmission reduced path loss by 40%, effectively extending node endurance. Through sidelobe level suppression technology (sidelobe < -25dB), the system significantly reduced the risk of signal being illegally intercepted or eavesdropped, meeting the data transmission requirements of high-security scenarios such as oil and gas pipelines and military utility tunnels.

[0024] In the case implementation, the beam path planning algorithm based on pipeline topology can dynamically calculate the optimal transmission elevation angle (azimuth ±60°, elevation -30° to +45°) and automatically avoid physical obstacles such as pipeline bends and flange interfaces.

[0025] In summary, this underground pipeline multimodal data anti-interference directional transmission system, through the setting...

[0026] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0027] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An anti-interference directional transmission system for multimodal data in underground pipelines, characterized in that, Including the following transmission systems: Multimodal data fusion and transmission module: heterogeneous data integration and transmission optimization; Adaptive anti-interference module: dynamically responds to complex interference environments; Intelligent directional transmission system: enhances signal penetration and transmission distance; The multimodal data fusion transmission module includes: (1) constructing a heterogeneous sensor data collaborative matrix to integrate three types of modal data: acoustic vibration sensor, distributed optical fiber strain sensing unit, and electromagnetic flaw detector; (2) using hierarchical quantization coding technology to package each modal data into a TDMA time slot frame with priority identifier; The adaptive anti-interference module includes a three-level anti-interference mechanism working collaboratively. The intelligent directional transmission system includes a directional transmission subsystem.

2. The underground pipeline multimodal data anti-interference directional transmission system according to claim 1, characterized in that: The layered quantization coding technique includes: Physical layer: Implements analog-to-digital conversion and normalization. Protocol layer: Design a dynamic bandwidth allocation algorithm to dynamically adjust the proportion of each mode according to the channel state (weighting coefficient α = 0.3-0.7). Application layer: Deploy a multimodal data fusion engine to achieve joint determination of abnormal states through DS evidence theory.

3. The underground pipeline multi-modal data anti-interference directional transmission system according to claim 1, characterized in that: The three-level anti-interference mechanism collaborative operation module includes: Front-end protection: Deploy a tunable band-stop filter at the transceiver input to automatically identify and suppress interference in specific frequency bands; Transmission relay: Employs RS-LDPC concatenated coding, with an error correction capability of 10⁻ 9 Bit error rate; Backend compensation: An interference feature library is built based on the LMS adaptive algorithm, and the noise cancellation parameters are updated in real time.

4. The multi-modal data anti-interference directional transmission system for underground pipelines according to claim 1, characterized in that: The directional transmission subsystem includes: Dual-polarized MIMO antenna array; 3D beamforming controller; Beampath planning algorithm based on pipeline topology.

5. The underground pipeline multimodal data anti-interference directional transmission system according to claim 4, characterized in that: The dual-polarized MIMO antenna array includes a dual-polarized antenna and a MIMO antenna array. The dual-polarized antenna is a single antenna element that can simultaneously support two orthogonal polarization modes (such as horizontal + vertical, or +45° / -45° slant polarization) to form two independent channels. The MIMO antenna array transmits data streams in parallel through multiple transmit antennas (Tx) and receive antennas (Rx), utilizing spatial diversity and spatial multiplexing to improve channel capacity and reliability.

6. The underground pipeline multimodal data anti-interference directional transmission system according to claim 4, characterized in that: The beam path planning algorithm for the pipeline topology includes a signal attenuation model within the pipeline and an effective signal-to-noise ratio calculation. The path loss within the pipe in the signal attenuation model of the pipe. It is the sum of free space loss, material penetration loss, and reflection loss: Free space loss Distance (km) Frequency (MHz); Pipe wall material loss (metal pipe) ≈30dB / m, concrete ≈10dB / m); : Number of reflections, L ≈ 2dB / reflection (reflection loss of metal surface); Effective signal-to-noise ratio calculation: , Transmit power (dBm) Thermal noise (kTB) Co-channel interference power (dBm).

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