Phased array monitoring system based on cloud computing

Abstract

The invention discloses a phased array monitoring system based on cloud computing, which comprises an acquisition processing module, a management analysis module and an arrangement early warning module, and is characterized in that the acquisition processing module is in network connection with the management analysis module, and the management analysis module is in data connection with the arrangement early warning module; the acquisition and processing module is used for performing data acquisition and optimization processing on a pipeline to be monitored, the management and analysis module is used for performing management and analysis on pipeline monitoring, and the arrangement and early warning module is used for performing arrangement and early warning control on data information. The collecting and processing module comprises a collecting end module, a receiving and processing module and a channel communication module, the collecting end module is in network connection with the receiving and processing module, the receiving and processing module is in network connection with the channel communication module, and the collecting end module is used for controlling and managing a pipeline collecting end. And the receiving and processing module is used for receiving and processing the data information. The system has the characteristics of efficient management control and intelligent analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of phased array monitoring, and in particular to a phased array monitoring system based on cloud computing. Background Art

[0002] Pipeline transport is a mode of transportation that uses pipelines as a means of transportation to transport liquid and gas materials over long distances. It is a special mode of transportation that transports oil, coal and chemical products from the production site to the market. It is a special part of trunk transportation in the unified transportation network. Oil and natural gas play a huge role in people's production and life. Good oil and gas pipeline construction is an important measure to ensure people's livelihood security. However, the current monitoring and analysis efficiency of transportation pipelines is low, making it impossible to handle and maintain pipeline defects in a timely manner. Therefore, it is necessary to design a cloud computing-based phased array monitoring system with efficient management, control and intelligent analysis. Summary of the invention

[0003] The object of the present invention is to provide a phased array monitoring system based on cloud computing to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a phased array monitoring system based on cloud computing, comprising: an acquisition and processing module, a management and analysis module and a sorting and early warning module, the acquisition and processing module is network-connected to the management and analysis module, the management and analysis module is data-connected to the sorting and early warning module, the acquisition and processing module is used to perform data acquisition and optimization processing on the pipeline to be monitored, the management and analysis module is used to perform management and analysis on pipeline monitoring, and the sorting and early warning module is used to perform sorting and early warning control of data information.

[0005] According to the above technical solution, the acquisition and processing module includes an acquisition end module, a receiving and processing module and a channel communication module. The acquisition end module is connected to the receiving and processing module through a network, and the receiving and processing module is connected to the channel communication module through a network. The acquisition end module is used to control and manage the pipeline acquisition end, the receiving and processing module is used to receive and process data information, and the channel communication module is used to perform channel communication management and control.

[0006] According to the above technical solution, the management and analysis module includes a transmission control module, a monitoring management module and a calculation and analysis module. The transmission control module is connected to the monitoring management module through a network, and the monitoring management module is electrically connected to the calculation and analysis module. The transmission control module is used to perform transmission control of data information, the monitoring management module is used to perform pipeline monitoring and control, and the calculation and analysis module is used to perform calculation and analysis of pipeline defect probability.

[0007] According to the above technical solution, the sorting and early warning module includes a data sorting module and an early warning notification module. The data sorting module and the early warning notification module are connected to the network. The data sorting module is used to sort and control the pipeline monitoring data, and the early warning notification module is used to provide early warning notification of data information.

[0008] According to the above technical solution, the operation method of the phased array monitoring system based on cloud computing includes the following steps:

[0009] Step S1: When monitoring and managing the transport pipeline, optimizing the monitoring and collection end of the pipeline;

[0010] Step S2: After completing the optimization processing of the pipeline acquisition end, control and manage the reception of the collected data and channel communication;

[0011] Step S3: further performing pipeline defect analysis and control processing according to the collected data;

[0012] Step S4: Data collation and early warning notification of pipeline defect analysis results.

[0013] According to the above technical solution, step S1 further includes the following steps:

[0014] The monitoring and collection end of the transport pipeline is controlled and processed, so that the collection end is mainly composed of a phased array ultrasonic guided wave monitoring host, a channel distributor and an ultrasonic guided wave monitoring transducer. The phased array ultrasonic guided wave monitoring host is responsible for the excitation emission of the guided wave signal and the collection of monitoring data. The monitoring data collected by the phased array ultrasonic guided wave monitoring host is transmitted wirelessly to the central server. The channel distributor can enable a phased array ultrasonic guided wave monitoring host to collect signals from multiple monitoring transducers in turn, effectively saving costs. By designing two guided wave excitation coils and setting the excitation delay in the two coils, the guided wave signal in the set direction is strengthened and the signal in the other direction is offset, thereby achieving the purpose of controlling the guided wave emission direction.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: When the ultrasonic guided wave monitoring transducer receives the echo signal, it can provide an adjustable gain function according to the manual setting by setting the proportional amplifier, realize the manually controllable signal amplification function, and perform signal amplification and signal conditioning, and further complete the filtering process through the BUTTERWORTH bandpass filter, so as to effectively improve the signal-to-noise ratio;

[0017] Step S22: further control and manage the channel communication of the phased array ultrasonic guided wave monitoring host, wherein the first channel is used as a common channel for transmitting and receiving guided waves, and also as the control center of the entire monitoring host. On the one hand, it receives the ultrasonic guided wave excitation parameters transmitted by the host computer, and on the other hand, it distributes the host computer parameters to each channel and controls each channel to act according to the specified instructions and receives the monitoring data collected by each channel and sends it to the host computer. The host computer software packages the acquisition parameters and sends them to the main control board through the TCP / IP protocol stack. The main control board parses the packaged data and uses the SPI communication method to transmit the acquisition parameters to each channel. After each channel obtains the acquisition parameters and configures them to the corresponding registers, the main control board uses the IO port interrupt method to send instructions to enable other channels to start exciting the guided waves and collecting monitoring data according to the delay time specified by the acquisition parameters.

[0018] According to the above technical solution, step S3 further includes the following steps:

[0019] Step S31: In the phased array ultrasonic guided wave monitoring host, communication transmission is performed through the serial peripheral interface (SPI). The SPI adopts a single master device communication protocol. Through the master-slave mode, a master device communicates with a corresponding number of slave devices. The chip select signal line selects the slave device to function. Only when the chip select signal shows a predetermined high level or low level enable signal, the transmission of the slave device is valid, otherwise it is invalid;

[0020] Step S32: After the optimization processing of the acquisition end is completed, the staff arranges the excitation transducer and the receiving transducer on two circumferential bands at a set distance on the outer surface of the transport pipeline structure to form a phased array ultrasonic guided wave excitation receiving array with multi-channel transmission and multi-channel reception;

[0021] Step S33: After the arrangement of the excitation transducer and the receiving transducer outside the transport pipeline structure is completed, the signal difference coefficient SDC of the reference signal and the damage signal is obtained according to the acquisition result analysis of the acquisition end, and the image of the possibility of the entire pipeline defect is reconstructed by combining the RAPID algorithm, and then the pipeline defect probability P(x, y) is calculated. The formula is as follows:

[0022]

[0023] Where β controls the size of the circular band of the signal difference coefficient distribution, and its value is greater than 1. The two focal points of the circular band are the excitation transducer m and the receiving transducer n of the sensing path. R nm (x, y) is the ratio of the sum of the distances from point x, y in the circular band to the excitation transducer and sensor to the distance from the exciter to the sensor, and N is the total number of excitation-sensing paths in the sensor array.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: After obtaining the pipeline defect probability calculation result, compare it with the set threshold value, and mark the data that is greater than the set threshold value;

[0026] Step S42: The marked data results are used to give an early warning notification to the staff so that they can monitor and handle the transportation pipeline defects in a timely manner.

[0027] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing an acquisition and processing module, a management and analysis module, and a sorting and early warning module, effectively improves and strengthens signal waveguides, makes transmission pipeline monitoring more efficient and accurate, avoids directly combining ultrasonic guided waves with the RAPID algorithm for transport pipeline defect monitoring, and the ultrasonic guided waves generated by local loading excitation in the pipeline will have special propagation characteristics that propagate axially in different spiral paths in the pipeline, interfering with the imaging of RAPID tomography technology, thereby providing an accurate analysis and processing basis for transport pipeline defect monitoring and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0029] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 The present invention provides a technical solution: a phased array monitoring system based on cloud computing, including: an acquisition and processing module, a management and analysis module and a sorting and early warning module. The acquisition and processing module is connected to the management and analysis module through a network, and the management and analysis module is connected to the sorting and early warning module through data. The acquisition and processing module is used to perform data acquisition and optimization processing on the pipeline to be monitored, the management and analysis module is used to perform management and analysis on pipeline monitoring, and the sorting and early warning module is used to perform sorting and early warning control of data information.

[0032] The acquisition and processing module includes an acquisition end module, a receiving and processing module and a channel communication module. The acquisition end module is connected to the receiving and processing module through a network, and the receiving and processing module is connected to the channel communication module through a network. The acquisition end module is used to control and manage the pipeline acquisition end, the receiving and processing module is used to receive and process data information, and the channel communication module is used to manage and control channel communications.

[0033] The management and analysis module includes a transmission control module, a monitoring management module and a calculation and analysis module. The transmission control module is connected to the monitoring management module through a network, and the monitoring management module is electrically connected to the calculation and analysis module. The transmission control module is used to control the transmission of data information, the monitoring management module is used to monitor and control the pipeline, and the calculation and analysis module is used to calculate and analyze the probability of pipeline defects.

[0034] The sorting and early warning module includes a data sorting module and an early warning notification module. The data sorting module and the early warning notification module are connected to the network. The data sorting module is used to sort and control the pipeline monitoring data, and the early warning notification module is used to provide early warning notification of data information.

[0035] The operation method of the phased array monitoring system based on cloud computing includes the following steps:

[0036] Step S1: When monitoring and managing the transport pipeline, optimizing the monitoring and collection end of the pipeline;

[0037] Step S2: After completing the optimization processing of the pipeline acquisition end, control and manage the reception of the collected data and channel communication;

[0038] Step S3: further performing pipeline defect analysis and control processing according to the collected data;

[0039] Step S4: Data collation and early warning notification of pipeline defect analysis results.

[0040] Step S1 further comprises the following steps:

[0041] The monitoring and collection end of the transport pipeline is controlled and processed, so that the collection end is mainly composed of a phased array ultrasonic guided wave monitoring host, a channel distributor and an ultrasonic guided wave monitoring transducer, wherein the phased array ultrasonic guided wave monitoring host is responsible for the excitation emission of the guided wave signal and the collection of monitoring data, and the monitoring data collected by the phased array ultrasonic guided wave monitoring host is transmitted to the central server by wireless, and the channel distributor can enable a phased array ultrasonic guided wave monitoring host to collect signals on multiple monitoring transducers in turn, effectively saving costs, and by designing two guided wave excitation coils and setting the excitation delay in the two coils, the guided wave signal in the set direction is strengthened, and the signal in the other direction is offset, so as to achieve the purpose of controlling the guided wave emission direction; in this step, two coils are set, and the spacing between the two coils is λ / 4, wherein λ is the wavelength of the guided wave, when the time for the guided wave to reach the characteristic area is the same, that is, the wave crests of the guided wave are at the same time, the signals are superimposed and strengthened, and when the time for the guided wave to reach the characteristic differs by T / 4, the wave crests and troughs of the guided wave are superimposed, and the signals are offset, effectively enhancing and strengthening the signal guided wave, so that the transmission pipeline monitoring is more efficient and accurate.

[0042] Step S2 further comprises the following steps:

[0043] Step S21: When the ultrasonic guided wave monitoring transducer receives the echo signal, the proportional amplifier can be set to provide an adjustable gain function according to the manual setting, so as to realize the manually controllable signal amplification function, and perform signal amplification and signal conditioning, and further complete the filtering process through the BUTTERWORTH bandpass filter, so as to effectively improve the signal-to-noise ratio; when the ultrasonic guided wave monitoring transducer receives the echo signal, according to the inverse effect of magnetostriction and the principle of electromagnetic induction, an electrical signal is induced in the transducer coil, but the electrical signal is relatively weak and cannot be effectively used by the subsequent circuit, so the problem is effectively solved by setting the proportional amplifier, and at the same time, because the frequency response curve of the BUTTERWORTH bandpass filter in the passband is flat to the maximum extent without ripples, and the decline speed in the stopband is fast, so by using it as the bandpass filter of the system, the signal-to-noise ratio can be significantly improved;

[0044] Step S22: further control and manage the channel communication of the phased array ultrasonic guided wave monitoring host, wherein the first channel is used as a channel for ordinary transmission and reception of guided waves, and also as the control center of the entire monitoring host, on the one hand, receiving the ultrasonic guided wave excitation parameters transmitted by the host computer, and on the other hand, distributing the host computer parameters to each channel and controlling each channel to act according to the specified instructions and receiving the monitoring data collected by each channel and sending it to the host computer. The host computer software packages the acquisition parameters and sends them to the main control board through the TCP / IP protocol stack. The main control board parses the packaged data and uses the SPI communication method to transmit the acquisition parameters to each channel. After each channel obtains the acquisition parameters and configures them to the corresponding register, the main control board uses the IO port interrupt method to send instructions so that other channels start to excite the guided waves and collect monitoring data according to the delay time specified by the acquisition parameters. In this step, the monitoring data collected by each channel will be stored in their respective SDRAMs. The main control board uses the SPI communication method to establish connections with each channel in turn to obtain its monitoring data, store it in the main control board memory, and wait for the host computer to extract it.

[0045] Step S3 further comprises the following steps:

[0046] Step S31: In the phased array ultrasonic guided wave monitoring host, communication transmission is performed through the serial peripheral interface (SPI). The SPI adopts a single master device communication protocol. Through the master-slave mode, a master device communicates with a corresponding number of slave devices. The chip select signal line selects the slave device to function. Only when the chip select signal shows a predetermined high level or low level enable signal, the transmission of the slave device is valid, otherwise it is invalid;

[0047] Step S32: After the optimization processing of the acquisition end is completed, the staff arranges the excitation transducer and the receiving transducer on the two circumferential bands at the set distance on the outer surface of the transport pipeline structure to form a phased array ultrasonic guided wave excitation receiving array with multi-channel transmission and multi-channel reception. In this step, since the energy and the transmitted information of the guided wave are mainly contained in the guided wave propagating along the shortest path from the excitation transducer to the receiving transducer during the propagation, the guided wave that reaches the receiving transducer along the shortest path in the pipeline is analyzed and processed to achieve pipeline defect detection probability analysis;

[0048] Step S33: After the arrangement of the excitation transducer and the receiving transducer outside the transport pipeline structure is completed, the signal difference coefficient SDC of the reference signal and the damage signal is obtained according to the acquisition result analysis of the acquisition end, and the image of the possibility of the entire pipeline defect is reconstructed by combining the RAPID algorithm, and then the pipeline defect probability P(x, y) is calculated. The formula is as follows:

[0049]

[0050] Where β controls the size of the circular band of the signal difference coefficient distribution, and its value is greater than 1. The two focal points of the circular band are the excitation transducer m and the receiving transducer n of the sensing path. R nm (x, y) is the ratio of the sum of the distances from point x, y in the circular band to the excitation transducer and sensor to the distance from the exciter to the sensor, and N is the total number of excitation-sensing paths in the sensor array. In traditional tomography algorithms, the slowness (the inverse of the speed) and the amplitude of the sound wave are the most concerned and most commonly used signal features. However, due to the complex dispersion characteristics of the guided wave, when the guided wave encounters a defect, it will undergo refraction, reflection and mode conversion, and the propagation speeds of different modes are also different. Therefore, if the above characteristics are used to reconstruct the image, errors will occur in the analysis results. Directly combining the ultrasonic guided wave with the RAPID algorithm for transport pipeline defect monitoring, the ultrasonic guided wave generated by local loading excitation in the pipeline will propagate axially in different spiral paths in the pipeline due to its special propagation characteristics, which interferes with the imaging of the RAPID tomography technology. Therefore, through this step, the excitation transducer and the receiving transducer are respectively arranged on two circumferential bands on the outer surface of the pipeline structure at a set distance to form a phased array ultrasonic guided wave excitation receiving array with multi-channel transmission and multi-channel reception, which can effectively avoid this problem and make the probability monitoring of transport pipeline defects more efficient and accurate.

[0051] Step S4 further comprises the following steps:

[0052] Step S41: After obtaining the pipeline defect probability calculation result, compare it with the set threshold value, and mark the data greater than the set threshold value; since in the defect probability image reconstructed from the entire pipeline, the pixel value of the position where the defect is located will be larger than the pixel value of other positions without defects, that is, the color at the defect position is darker than the color at the position without defects, the data greater than the threshold value is marked, providing an accurate analysis and processing basis for the transport pipeline defect monitoring and analysis;

[0053] Step S42: The marked data results are used to give an early warning notification to the staff so that they can monitor and handle the transportation pipeline defects in a timely manner.

[0054] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0055] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Cloud computing-based phased array monitoring system, including: The acquisition and processing module, the management and analysis module and the sorting and early warning module are characterized in that: the acquisition and processing module is connected to the management and analysis module through a network, the management and analysis module is connected to the sorting and early warning module through data, the acquisition and processing module is used to perform data acquisition and optimization processing on the pipeline to be monitored, the management and analysis module is used to perform management and analysis on pipeline monitoring, and the sorting and early warning module is used to perform sorting and early warning control of data information.

2. The cloud computing-based phased array monitoring system according to claim 1, characterized in that: The acquisition processing module includes an acquisition end module, a receiving processing module and a channel communication module. The acquisition end module is connected to the receiving processing module through a network, and the receiving processing module is connected to the channel communication module through a network. The acquisition end module is used to control and manage the pipeline acquisition end, the receiving processing module is used to receive and process data information, and the channel communication module is used to manage and control channel communication.

3. The cloud computing-based phased array monitoring system according to claim 1, characterized in that: The management and analysis module includes a transmission control module, a monitoring management module and a calculation and analysis module. The transmission control module is connected to the monitoring management module through a network, and the monitoring management module is electrically connected to the calculation and analysis module. The transmission control module is used to perform transmission control of data information, the monitoring management module is used to perform pipeline monitoring and control, and the calculation and analysis module is used to perform calculation and analysis of pipeline defect probability.

4. The cloud computing-based phased array monitoring system according to claim 1, characterized in that: The sorting and early warning module includes a data sorting module and an early warning notification module. The data sorting module and the early warning notification module are connected to the network. The data sorting module is used to sort and control the pipeline monitoring data, and the early warning notification module is used to provide early warning notification of data information.

5. The cloud computing-based phased array monitoring system according to claim 1, characterized in that: The operation method of the phased array monitoring system based on cloud computing includes the following steps: Step S1: When monitoring and managing the transport pipeline, optimizing the monitoring and collection end of the pipeline; Step S2: After completing the optimization processing of the pipeline acquisition end, control and manage the reception of the collected data and channel communication; Step S3: further performing pipeline defect analysis and control processing according to the collected data; Step S4: Data collation and early warning notification of pipeline defect analysis results.

6. The cloud computing-based phased array monitoring system according to claim 5, characterized in that: The step S1 further comprises the following steps: The monitoring and collection end of the transport pipeline is controlled and processed, so that the collection end is mainly composed of a phased array ultrasonic guided wave monitoring host, a channel distributor and an ultrasonic guided wave monitoring transducer. The phased array ultrasonic guided wave monitoring host is responsible for the excitation emission of the guided wave signal and the collection of monitoring data. The monitoring data collected by the phased array ultrasonic guided wave monitoring host is transmitted wirelessly to the central server. The channel distributor can enable a phased array ultrasonic guided wave monitoring host to collect signals from multiple monitoring transducers in turn, effectively saving costs. By designing two guided wave excitation coils and setting the excitation delay in the two coils, the guided wave signal in the set direction is strengthened and the signal in the other direction is offset, thereby achieving the purpose of controlling the guided wave emission direction.

7. The cloud computing-based phased array monitoring system according to claim 5, characterized in that: The step S2 further comprises the following steps: Step S21: When the ultrasonic guided wave monitoring transducer receives the echo signal, it can provide an adjustable gain function according to the manual setting by setting the proportional amplifier, realize the manually controllable signal amplification function, and perform signal amplification and signal conditioning, and further complete the filtering process through the BUTTERWORTH bandpass filter, so as to effectively improve the signal-to-noise ratio; Step S22: further control and manage the channel communication of the phased array ultrasonic guided wave monitoring host, wherein the first channel is used as a common channel for transmitting and receiving guided waves, and also as the control center of the entire monitoring host. On the one hand, it receives the ultrasonic guided wave excitation parameters transmitted by the host computer, and on the other hand, it distributes the host computer parameters to each channel and controls each channel to act according to the specified instructions and receives the monitoring data collected by each channel and sends it to the host computer. The host computer software packages the acquisition parameters and sends them to the main control board through the TCP / IP protocol stack. The main control board parses the packaged data and uses the SPI communication method to transmit the acquisition parameters to each channel. After each channel obtains the acquisition parameters and configures them to the corresponding registers, the main control board uses the IO port interrupt method to send instructions to enable other channels to start exciting the guided waves and collecting monitoring data according to the delay time specified by the acquisition parameters.

8. The cloud computing-based phased array monitoring system according to claim 5, characterized in that: The step S3 further comprises the following steps: Step S31: In the phased array ultrasonic guided wave monitoring host, communication transmission is performed through the serial peripheral interface (SPI). The SPI adopts a single master device communication protocol. Through the master-slave mode, a master device communicates with a corresponding number of slave devices. The chip select signal line selects the slave device to function. Only when the chip select signal shows a predetermined high level or low level enable signal, the transmission of the slave device is valid, otherwise it is invalid; Step S32: After the optimization processing of the acquisition end is completed, the staff arranges the excitation transducer and the receiving transducer on two circumferential bands at a set distance on the outer surface of the transport pipeline structure to form a phased array ultrasonic guided wave excitation receiving array with multi-channel transmission and multi-channel reception; Step S33: After the arrangement of the excitation transducer and the receiving transducer outside the transport pipeline structure is completed, the signal difference coefficient SDC of the reference signal and the damage signal is obtained according to the acquisition result analysis of the acquisition end, and the image of the possibility of the entire pipeline defect is reconstructed by combining the RAPID algorithm, and then the pipeline defect probability P(x, y) is calculated. The formula is as follows: Where β controls the size of the circular band of the signal difference coefficient distribution, and its value is greater than 1. The two focal points of the circular band are the excitation transducer m and the receiving transducer n of the sensing path. R nm (x, y) is the ratio of the sum of the distances from the point (x, y) in the circular band to the excitation transducer and the sensor to the distance from the exciter to the sensor, and N is the total number of excitation-sensing paths in the sensor array.

9. The cloud computing-based phased array monitoring system according to claim 5, characterized in that: The step S4 further comprises the following steps: Step S41: After obtaining the pipeline defect probability calculation result, compare it with the set threshold value, and mark the data that is greater than the set threshold value; Step S42: The marked data results are used to give an early warning notification to the staff so that they can monitor and handle the transportation pipeline defects in a timely manner.

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