Self-adaptive pipeline monitoring and maintenance system based on flow pressure

Abstract

The invention discloses a self-adaptive pipeline monitoring and maintenance system based on flow pressure, and relates to the technical field of self-adaptive pipeline monitoring, and the self-adaptive pipeline monitoring and maintenance system comprises a self-adaptive pipeline monitoring module, a self-adaptive pipeline analysis module, a self-adaptive pipeline maintenance module, an early warning terminal and a database. According to the method, the conveying state corresponding to the current self-adaptive pipeline is judged, multi-aspect monitoring is carried out on the pipeline according to the conveying state corresponding to the self-adaptive pipeline, so that the problem corresponding to the self-adaptive pipeline is found out, corresponding pipeline maintenance is executed, comprehensive monitoring of the self-adaptive pipeline is achieved, and the self-adaptive pipeline maintenance efficiency is improved. According to the method, the safety risk corresponding to the self-adaptive pipeline is efficiently prevented, safe conveying of the self-adaptive pipeline is guaranteed, meanwhile, based on automatic monitoring of the self-adaptive pipeline, the monitoring efficiency of the self-adaptive pipeline is effectively improved, and the conveying risk of the self-adaptive pipeline is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of adaptive pipeline monitoring, and in particular to an adaptive pipeline monitoring and maintenance system based on flow pressure. Background Art

[0002] Adaptive pipelines play a vital role in the current industry. They undertake the important task of transporting fluids. Therefore, adaptive pipelines need to perform corresponding monitoring to achieve efficient prevention and maintenance of adaptive pipeline safety risks. By monitoring the flow pressure of the adaptive pipeline when transporting fluids, and comparing it with the reference flow pressure value automatically generated by the adaptive system of the adaptive pipeline, we can see whether the current adaptive pipeline is in a safe transportation state, and achieve real-time and efficient monitoring of the adaptive pipeline to ensure the safety and reliability of pipeline transportation.

[0003] Prior art, such as the invention patent application with announcement number CN106015951A, discloses a gas pipeline leakage detection system and method that adapts to multiple state changes, including a gas pipeline leakage detection system that adapts to multiple state changes and a gas pipeline leakage detection method that adapts to multiple state changes; the system includes an input module, a gas pipeline transmission mechanism model, a neural network compensation model, a pipeline system signal acquisition module, a correction output processing module, and an error acquisition module; the method is to establish a gas pipeline mathematical model, derive a gas pipeline state space equation, process the flow signal of the gas pipeline state space equation, establish an RBF neural network, and verify the detection model. Combining the gas pipeline flow mathematical model with the knowledge-based detection method, the end load, pipe diameter, pipeline bending, ambient temperature, gas wave velocity and compression coefficient, pipeline hydraulic friction coefficient, etc. are studied and the gas pipeline leakage is monitored. The pipeline model is trained to obtain an accurate model that adapts to changes in pipeline working conditions.

[0004] With respect to the above scheme, the applicant of the present invention has found that the above technical problems have at least the following technical problems: the above invention mainly monitors gas pipeline leakage, and does not monitor the flow pressure corresponding to the adaptive pipeline, and thus cannot compare the reference flow pressure value generated by the adaptive system, and cannot determine the current delivery status corresponding to the adaptive pipeline. It is impossible to monitor the adaptive pipeline in various aspects based on the judgment result, and it is impossible to find out where the problem of the adaptive pipeline is, and thus it is impossible to perform corresponding maintenance, and it is impossible to achieve comprehensive monitoring of the adaptive pipeline, and it is impossible to comprehensively guarantee the safe delivery of the adaptive pipeline. At the same time, it is not based on the automated monitoring of the adaptive pipeline, and cannot effectively improve the corresponding monitoring efficiency of the adaptive pipeline. Summary of the invention

[0005] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an adaptive pipeline monitoring and maintenance system based on flow pressure.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an adaptive pipeline monitoring and maintenance system based on flow pressure, including: an adaptive pipeline monitoring module, which is used to monitor the fluid in the current adaptive pipeline, and then judge the corresponding delivery state of the current adaptive pipeline. If the delivery state corresponding to the current adaptive pipeline is unqualified, the corresponding pipe body monitoring and adaptive system detection are performed on the adaptive pipeline.

[0007] The adaptive pipeline analysis module is used to obtain the basic image corresponding to the adaptive pipeline, and then analyze the pipe body state corresponding to the adaptive pipeline. If the pipe body state corresponding to the adaptive pipeline is normal, the adaptive system corresponding to the adaptive pipeline is monitored to determine the basic state of the adaptive system corresponding to the adaptive pipeline.

[0008] The adaptive pipeline maintenance module is used to analyze and obtain the maintenance measures of the adaptive pipeline corresponding to the pipe body when the state of the adaptive pipeline corresponding to the pipe body is abnormal, and to analyze and obtain the maintenance method of the adaptive pipeline corresponding to the adaptive system when the adaptive pipeline corresponding to the adaptive system is abnormal.

[0009] The early warning terminal is used to issue an early warning prompt when the transportation state corresponding to the adaptive pipeline is unqualified, the pipe body state corresponding to the adaptive pipeline is abnormal, or the adaptive system corresponding to the adaptive pipeline is abnormal.

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an adaptive pipeline monitoring and maintenance system based on flow pressure, which monitors the fluid in the current adaptive pipeline, thereby judging the corresponding conveying state of the current adaptive pipeline, and carrying out multi-faceted monitoring of the pipeline according to the corresponding conveying state of the adaptive pipeline, thereby finding out the corresponding problem of the adaptive pipeline, and performing corresponding pipeline maintenance, thereby realizing comprehensive monitoring of the adaptive pipeline, effectively preventing the corresponding safety risks of the adaptive pipeline, ensuring the safe conveying of the adaptive pipeline, and solving the deficiencies in the current technology. At the same time, based on the automatic monitoring of the adaptive pipeline, the monitoring efficiency of the adaptive pipeline is effectively improved, the conveying risk of the adaptive pipeline is reduced, and the risk of pipeline blockage or leakage caused by excessive or insufficient flow pressure in the adaptive pipeline is avoided, further protecting the safe conveying of the adaptive pipeline, realizing intelligent management of the adaptive pipeline, improving the automation level and intelligence degree of pipeline transportation, reducing the fault maintenance cost of the adaptive pipeline, and realizing efficient adaptive pipeline safe conveying. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0013] 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.

[0014] See also Figure 1 As shown, an adaptive pipeline monitoring and maintenance system based on flow pressure includes an adaptive pipeline monitoring module, an adaptive pipeline analysis module, an adaptive pipeline maintenance module, an early warning terminal and a database.

[0015] The adaptive pipeline monitoring module is connected to the adaptive pipeline analysis module, the adaptive pipeline maintenance module and the database respectively, the adaptive pipeline monitoring module is connected to the database and the early warning terminal respectively, and the adaptive pipeline analysis module is connected to the database and the early warning terminal respectively.

[0016] The adaptive pipeline monitoring module is used to monitor the fluid in the current adaptive pipeline, and then determine the corresponding delivery state of the current adaptive pipeline. If the corresponding delivery state of the current adaptive pipeline is unqualified, the corresponding pipe body monitoring and adaptive system detection are performed on the adaptive pipeline.

[0017] It should be noted that the sensor includes a flow meter and a pressure sensor.

[0018] It should be noted that the adaptive system concentrates the flow pressures corresponding to each historical fluid conveyance of the adaptive pipeline, screens out the flow pressures of each historical fluid conveyance when the adaptive pipeline is in normal conveying conditions, and arranges the flow pressures of each historical fluid conveyance in order from front to back, so as to comprehensively obtain the trend law of the corresponding flow pressures of each historical fluid conveyance. For example, the flow pressure corresponding to each historical fluid conveyance is increased by a value of 0.1 or more, then the adaptive system generates a reference pipeline flow pressure according to the corresponding increasing value. If the flow pressure values ​​of each historical fluid conveyance are all consistent, then the adaptive system produces the corresponding reference pipeline flow pressure according to the consistent numerical law, so that the adaptive pipeline automatically generates the reference pipeline flow pressure that the pipeline should maintain when the adaptive pipeline executes fluid conveyance.

[0019] As an optional implementation, the specific determination process of determining the delivery state corresponding to the current adaptive pipeline is as follows: Q1. When the adaptive pipeline is performing fluid delivery, the adaptive pipeline will perform the corresponding fluid delivery based on the reference pipeline flow pressure automatically set by the adaptive system, and simultaneously turn on the corresponding sensor to monitor the flow pressure of the adaptive pipeline corresponding to each time period in real time;

[0020] Q2. Compare the flow pressure of the adaptive pipeline corresponding to each time period with the automatically set reference pipeline flow pressure. If the flow pressure of the adaptive pipeline corresponding to a certain time period is greater than or less than the automatically set reference pipeline flow pressure, the delivery state of the adaptive pipeline corresponding to the time period is determined to be unqualified. If the flow pressure of the adaptive pipeline corresponding to a certain time period is equal to the automatically set reference pipeline flow pressure, the delivery state of the adaptive pipeline corresponding to the time period is determined to be qualified, thereby judging the delivery state corresponding to the current adaptive pipeline.

[0021] The adaptive pipeline analysis module is used to obtain the basic image corresponding to the adaptive pipeline, and then analyze the pipe body state corresponding to the adaptive pipeline. If the pipe body state corresponding to the adaptive pipeline is normal, the adaptive system corresponding to the adaptive pipeline is monitored to determine the basic state of the adaptive system corresponding to the adaptive pipeline.

[0022] It should be noted that the corresponding adaptive pipeline evaluation model is obtained based on learning algorithm modeling, and the learning algorithm includes regression analysis, decision tree, random forest, deep learning, etc.

[0023] As an optional implementation, the analysis of the state of the pipe body corresponding to the adaptive pipe is specifically carried out as follows: based on a high-definition camera equipped with the adaptive pipe, a basic image of the adaptive pipe when transmitting fluid is obtained, and basic information of the pipe body corresponding to the adaptive pipe is extracted from the image, and ultrasonic waves are used to further obtain and verify the basic information presented on the basic image, wherein the basic information includes sediment accumulation, pipe body cracks, and interface overlap area.

[0024] The sediment accumulation degree, pipe body cracks and pipe body interface overlap area of ​​the pipe body corresponding to the adaptive pipeline are input into the adaptive pipeline evaluation model, and then the state result value of the pipe body corresponding to the adaptive pipeline is output. If the state result output value of the pipe body corresponding to the adaptive pipeline is 1, it is determined that the state of the pipe body corresponding to the adaptive pipeline is abnormal, and the corresponding maintenance is performed. On the contrary, if the state result output value of the pipe body corresponding to the adaptive pipeline is 0, it is determined that the state of the pipe body corresponding to the adaptive pipeline is normal, and the adaptive system corresponding to the adaptive pipeline is monitored and analyzed to obtain the state of the pipe body corresponding to the adaptive pipeline.

[0025] As an optional implementation, the output obtains the state result value of the adaptive pipeline corresponding to the pipe body, and the specific analysis process is as follows: by calculating the formula Output the state result value of the corresponding pipe body of the adaptive pipeline U′ is the set reference sediment accumulation degree, L′ is the set reference pipe body crack, M′ is the set reference interface overlap area, U is the sediment accumulation degree of the adaptive pipe corresponding to the pipe body, L is the pipe body crack of the adaptive pipe corresponding to the pipe body, M is the interface overlap area of ​​the adaptive pipe corresponding to the pipe body, J 1 , J 2 and J 3 are the weight factors of the sediment accumulation, pipe cracks and interface overlap area, respectively. 0<J 1 <1,0<J 2 <1,0<J 3 <1, B is the set reference pipe state assessment coefficient.

[0026] It should be noted that the sediment accumulation degree of the pipe body corresponding to the historical adaptive pipeline under the normal state of the adaptive pipeline is obtained from the database, the sediment accumulation degree of the pipe body corresponding to the historical adaptive pipeline is comprehensively counted, and the average sediment accumulation degree of the pipe body corresponding to the historical adaptive pipeline is obtained based on the average value, and the average sediment accumulation degree of the pipe body corresponding to the historical adaptive pipeline is used as the reference sediment accumulation degree, the pipe body cracks of the pipe body corresponding to the historical adaptive pipeline under the normal state of the adaptive pipeline are obtained from the database, the pipe body cracks of the pipe body corresponding to the historical adaptive pipeline are comprehensively counted, and the average pipe body cracks of the pipe body corresponding to the historical adaptive pipeline are obtained based on the average value, and the average pipe body cracks of the pipe body corresponding to the historical adaptive pipeline are used as the reference pipe body cracks, the interface overlap area of ​​the pipe body corresponding to the historical adaptive pipeline under the normal state of the adaptive pipeline is obtained from the database, the interface overlap area of ​​the pipe body corresponding to the historical adaptive pipeline is comprehensively counted, and the average interface overlap area of ​​the pipe body corresponding to the historical adaptive pipeline is obtained based on the average value, and the average interface overlap area of ​​the pipe body corresponding to the historical adaptive pipeline is used as the reference interface overlap area.

[0027] It should be noted that the pipe body state assessment coefficient threshold of each historical adaptive pipe corresponding to the pipe body is obtained from the database, and the pipe body state assessment coefficient threshold of each historical adaptive pipe corresponding to the pipe body is calculated based on the average value, so as to obtain the average pipe body state assessment coefficient threshold of each historical adaptive pipe corresponding to the pipe body, and the average pipe body state assessment coefficient threshold of each historical adaptive pipe corresponding to the pipe body is used as the reference pipe body state assessment coefficient.

[0028] It should also be noted that the weight factors of sediment accumulation, pipe cracks and interface overlap area are obtained through factor analysis. The information of sediment accumulation, pipe cracks and interface overlap area is first condensed, and then the corresponding variance explanation rate is obtained, and then divided by the variance explanation rate to get the corresponding weight.

[0029] It should also be noted that information condensation refers to condensing multiple analysis items into several key summary indicators, and the variance explanation rate refers to the contribution of each principal component or factor to the overall variance, usually expressed as a percentage, indicating how much information the factor contains about the original data.

[0030] As an optional implementation, the adaptive system corresponding to the adaptive pipeline is monitored, and the specific monitoring process is as follows: S1. First, the sensor controlled by the adaptive system corresponding to the adaptive pipeline is monitored, and the functional value corresponding to the sensor is collected.

[0031] S2. Secondly, the reference value transmission state of the adaptive pipeline corresponding to the adaptive system output is monitored, and the corresponding output characteristic data including the output signal and the receiving period are extracted from the reference value transmission state of the adaptive system output.

[0032] S3. Finally, based on the high-precision camera, the valve image of the adaptive pipeline corresponding to the fluid transportation is obtained, and the valve opening period, valve opening times and valve opening width are extracted from the valve image of the adaptive pipeline corresponding to the fluid transportation. Combining the above, the basic status information of the adaptive system corresponding to the adaptive pipeline is obtained, and the monitoring of the adaptive system corresponding to the adaptive pipeline is completed.

[0033] It should also be noted that the basic status information includes function values, output signals, receiving time periods, valve opening time periods, valve opening times, valve opening widths and temperatures.

[0034] As an optional implementation manner, the basic state of the adaptive system corresponding to the adaptive pipeline is determined, and the specific determination process is as follows: the basic state information monitored by the adaptive system corresponding to the adaptive pipeline is input into the adaptive system evaluation model corresponding to the adaptive pipeline, and then the basic state result value of the adaptive system corresponding to the adaptive pipeline is output. If the basic state result output value of the adaptive system corresponding to the adaptive pipeline is 0, it is determined that the basic state of the adaptive system corresponding to the adaptive pipeline is abnormal, and the corresponding maintenance is performed. On the contrary, if the basic state result output value of the adaptive system corresponding to the adaptive pipeline is 1, it is determined that the basic state of the adaptive system corresponding to the adaptive pipeline is normal, and the pipe body corresponding to the adaptive pipeline is monitored and analyzed to determine the basic state of the adaptive system corresponding to the adaptive pipeline.

[0035] It should also be noted that the corresponding adaptive pipeline evaluation model is obtained based on learning algorithm modeling. The learning algorithm includes regression analysis, decision tree, random forest, deep learning, etc.

[0036] As an optional implementation, the output adaptive pipeline corresponds to the basic state result of the adaptive system, and the specific judgment process is as follows: by calculating the formula The output is the basic state result value β of the adaptive system corresponding to the adaptive pipeline, a is the sensor function value of the adaptive system corresponding to the adaptive pipeline, b is the output signal of the adaptive system corresponding to the adaptive pipeline, c is the receiving period of the adaptive system corresponding to the adaptive pipeline, d is the valve opening period of the adaptive system corresponding to the adaptive pipeline, f is the number of valve openings of the adaptive system corresponding to the adaptive pipeline, k is the valve opening width of the adaptive system corresponding to the adaptive pipeline, n 1 、n 2 、n 3 、n 4 、n 5 and n 6They are the weight factor of the set sensor function value, the weight factor of the output signal, the weight factor of the receiving period, the weight factor of the valve opening period, the weight factor of the valve opening times and the weight factor of the valve opening width, 0<n 1 <1,0<n 2 <1,0<n 3 <1,0<n 4 <1,0<n 5 <1,0<n 6 <1, p is the set reference adaptive system evaluation value.

[0037] It should be noted that the basic state result coefficient threshold of the adaptive system corresponding to each historical adaptive pipeline is obtained from the database, and the basic state result coefficient threshold of the adaptive system corresponding to each historical adaptive pipeline is calculated based on the average value, so as to obtain the average basic state result coefficient threshold of the adaptive system corresponding to each historical adaptive pipeline, and the average basic state result coefficient threshold of the adaptive system corresponding to each historical adaptive pipeline is used as the reference adaptive system evaluation value.

[0038] It should also be noted that the weight factors of the sensor function values, the output signals, the receiving time periods, the valve opening time periods, the valve opening times and the valve opening widths are obtained through factor analysis. The information of the sensor function values, the output signals, the receiving time periods, the valve opening time periods, the valve opening times and the valve opening widths is first condensed, and then the corresponding variance explanation rate is obtained, which is then divided by the variance explanation rate to obtain the corresponding weights.

[0039] The adaptive pipeline maintenance module is used to analyze and obtain the maintenance measures of the adaptive pipeline corresponding to the pipe body when the state of the adaptive pipeline corresponding to the pipe body is abnormal, and to analyze and obtain the maintenance method of the adaptive pipeline corresponding to the adaptive system when the adaptive pipeline corresponding to the adaptive system is abnormal.

[0040] It should be noted that auxiliary materials include welding reinforcement, casing reinforcement and epoxy coating.

[0041] As an optional implementation, the analysis obtains maintenance measures for the pipe body corresponding to the adaptive pipeline, and the specific analysis process is as follows: the state result value of the pipe body corresponding to the adaptive pipeline is compared with each historical reference state result value of the maintenance measures for the pipe body corresponding to the adaptive pipeline stored in the database. If the state result value of the pipe body corresponding to the adaptive pipeline is less than or equal to a historical reference state result value of the maintenance measures for the pipe body corresponding to the adaptive pipeline stored in the database, the adaptive pipeline is subjected to corresponding sediment cleaning, pipe body crack repair and pipe body connection port re-merging. Otherwise, the adaptive pipeline is subjected to corresponding sediment cleaning, cracked pipe body replacement and pipe body connection port reinforcement, thereby analyzing and obtaining maintenance measures for the pipe body corresponding to the adaptive pipeline.

[0042] As an optional implementation, the analysis obtains the maintenance method of the adaptive system corresponding to the adaptive pipeline, and the specific analysis process is as follows: the basic state result value of the adaptive system corresponding to the adaptive pipeline is compared with each historical reference basic state result value of the maintenance method of the adaptive system corresponding to the adaptive pipeline stored in the database. If the state result value of the adaptive pipeline corresponding to the pipe body is greater than or equal to a certain historical reference basic state result value of the maintenance method of the adaptive system corresponding to the adaptive pipeline stored in the database, then the maintenance method corresponding to the historical reference basic state result value is used as the maintenance method of the current adaptive system corresponding to the adaptive pipeline, so as to obtain the maintenance measures of the adaptive system corresponding to the adaptive pipeline through analysis.

[0043] It should be noted that the corresponding data correction is performed on the adaptive pipeline by using the reference flow pressure value of the adaptive system corresponding to the adaptive pipeline until the reference flow pressure value of the adaptive pipeline is the same as that of the adaptive system. At the same time, valve data correction is also performed on the valve opening corresponding to the adaptive pipeline, wherein the valve data correction includes time correction, number correction and opening width correction. The valve reference value automatically generated by the adaptive system corresponding to the adaptive pipeline is output to the adaptive pipeline again until the valve reference value of the adaptive pipeline is the same as that of the adaptive system, thereby executing maintenance measures for the adaptive system corresponding to the adaptive pipeline.

[0044] The database is used to store flow pressure, reference pipeline flow pressure, basic information, basic state information, various historical reference state result values ​​and various historical reference basic state result values.

[0045] The early warning terminal is used to issue an early warning prompt when the transportation state corresponding to the adaptive pipeline is unqualified, the pipe body state corresponding to the adaptive pipeline is abnormal, or the adaptive system corresponding to the adaptive pipeline is abnormal.

[0046] The embodiment of the present invention monitors the fluid in the current adaptive pipeline, thereby determining the corresponding conveying state of the current adaptive pipeline, and carries out multi-faceted monitoring of the pipeline according to the corresponding conveying state of the adaptive pipeline, thereby finding out the corresponding problem of the adaptive pipeline, and performing corresponding pipeline maintenance, thereby realizing comprehensive monitoring of the adaptive pipeline, effectively preventing the corresponding safety risks of the adaptive pipeline, ensuring the safe conveying of the adaptive pipeline, and solving the deficiencies in the current technology. At the same time, based on the automatic monitoring of the adaptive pipeline, the monitoring efficiency of the adaptive pipeline is effectively improved, the conveying risk of the adaptive pipeline is reduced, and the risk of pipeline blockage or leakage caused by excessive or insufficient flow pressure in the adaptive pipeline is avoided, further protecting the safe conveying of the adaptive pipeline, realizing intelligent management of the adaptive pipeline, improving the automation level and intelligence degree of pipeline transportation, reducing the fault maintenance cost of the adaptive pipeline, and realizing efficient adaptive pipeline safe conveying.

[0047] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. An adaptive pipeline monitoring and maintenance system based on flow pressure, characterized in that: include: The adaptive pipeline monitoring module is used to monitor the fluid in the current adaptive pipeline, and then determine the corresponding delivery state of the current adaptive pipeline. If the corresponding delivery state of the current adaptive pipeline is unqualified, the corresponding pipe body monitoring and adaptive system detection are performed on the adaptive pipeline; The adaptive pipeline analysis module is used to obtain the basic image corresponding to the adaptive pipeline, and then analyze the state of the pipe body corresponding to the adaptive pipeline. If the state of the pipe body corresponding to the adaptive pipeline is normal, the adaptive system corresponding to the adaptive pipeline is monitored to determine the basic state of the adaptive system corresponding to the adaptive pipeline; The adaptive pipeline maintenance module is used to analyze and obtain the maintenance measures of the adaptive pipeline corresponding to the pipe body when the state of the adaptive pipeline corresponding to the pipe body is abnormal, and to analyze and obtain the maintenance method of the adaptive pipeline corresponding to the adaptive system when the adaptive pipeline corresponding to the adaptive system is abnormal; The early warning terminal is used to issue an early warning prompt when the transportation state corresponding to the adaptive pipeline is unqualified, the pipe body state corresponding to the adaptive pipeline is abnormal, or the adaptive system corresponding to the adaptive pipeline is abnormal.

2. The flow pressure-based adaptive pipeline monitoring and maintenance system according to claim 1, characterized in that: The specific process of determining the transport state corresponding to the current adaptive pipeline is as follows: Q1. When the adaptive pipeline is performing fluid transportation, the adaptive pipeline will perform the corresponding fluid transportation based on the reference pipeline flow pressure automatically set by the adaptive system, and at the same time turn on the corresponding sensor to monitor the flow pressure of the adaptive pipeline in real time in each time period; Q2. Compare the flow pressure of the adaptive pipeline corresponding to each time period with the automatically set reference pipeline flow pressure. If the flow pressure of the adaptive pipeline corresponding to a certain time period is greater than or less than the automatically set reference pipeline flow pressure, the delivery state of the adaptive pipeline corresponding to the time period is determined to be unqualified. If the flow pressure of the adaptive pipeline corresponding to a certain time period is equal to the automatically set reference pipeline flow pressure, the delivery state of the adaptive pipeline corresponding to the time period is determined to be qualified, thereby judging the delivery state corresponding to the current adaptive pipeline.

3. The adaptive pipeline monitoring and maintenance system based on flow pressure as claimed in claim 1, characterized in that: The analysis of the pipe body state corresponding to the adaptive pipe is specifically performed as follows: Based on the high-definition camera equipped with the adaptive pipeline, the basic image of the adaptive pipeline when transmitting fluid is obtained, and the basic information of the corresponding pipe body of the adaptive pipeline is extracted from the image. At the same time, ultrasound is used to further obtain and verify the basic information presented on the basic image, where the basic information includes the accumulation degree of sediment, cracks in the pipe body, and the overlap area of ​​the interface; The sediment accumulation degree, pipe body cracks and pipe body interface overlap area of ​​the pipe body corresponding to the adaptive pipeline are input into the adaptive pipeline evaluation model, and then the state result value of the pipe body corresponding to the adaptive pipeline is output. If the state result output value of the pipe body corresponding to the adaptive pipeline is 1, it is determined that the state of the pipe body corresponding to the adaptive pipeline is abnormal, and the corresponding maintenance is performed. On the contrary, if the state result output value of the pipe body corresponding to the adaptive pipeline is 0, it is determined that the state of the pipe body corresponding to the adaptive pipeline is normal, and the adaptive system corresponding to the adaptive pipeline is monitored and analyzed to obtain the state of the pipe body corresponding to the adaptive pipeline.

4. The adaptive pipeline monitoring and maintenance system based on flow pressure as claimed in claim 3, characterized in that: The output obtains the state result value of the pipe body corresponding to the adaptive pipeline, and the specific analysis process is as follows: By calculating the formula Output the state result value of the corresponding pipe body of the adaptive pipeline U′ is the set reference sediment accumulation degree, L′ is the set reference pipe body crack, M′ is the set reference interface overlap area, U is the sediment accumulation degree of the adaptive pipeline corresponding to the pipe body, L is the pipe body crack of the adaptive pipeline corresponding to the pipe body, M is the interface overlap area of ​​the adaptive pipeline corresponding to the pipe body, J1, J2 and J3 are the weight factors of the set sediment accumulation degree, the weight factors of the pipe body cracks and the weight factors of the interface overlap area respectively, 0<J1<1, 0<J2<1, 0<J3<1, B is the set reference pipe body state assessment coefficient.

5. The adaptive pipeline monitoring and maintenance system based on flow pressure as claimed in claim 1, characterized in that: The adaptive system corresponding to the adaptive pipeline is monitored, and the specific monitoring process is as follows: S1. First, monitor the sensor controlled by the adaptive system corresponding to the adaptive pipeline and collect the function value corresponding to the sensor; S2, secondly, monitoring the transmission state of the reference value outputted by the adaptive pipeline corresponding to the adaptive system, by extracting the corresponding output characteristic data from the transmission state of the reference value outputted by the adaptive system, including the output signal and the receiving period; S3. Finally, based on the high-precision camera, the valve image of the adaptive pipeline corresponding to the fluid transportation is obtained, and the valve opening period, valve opening times and valve opening width are extracted from the valve image of the adaptive pipeline corresponding to the fluid transportation. Combining the above, the basic status information of the adaptive system corresponding to the adaptive pipeline is obtained, and the monitoring of the adaptive system corresponding to the adaptive pipeline is completed.

6. The adaptive pipeline monitoring and maintenance system based on flow pressure as claimed in claim 1, characterized in that: The basic state of the adaptive system corresponding to the adaptive pipeline is determined, and the specific determination process is as follows: The basic status information monitored by the adaptive system corresponding to the adaptive pipeline is input into the adaptive system evaluation model corresponding to the adaptive pipeline, and then the basic status result value of the adaptive pipeline corresponding to the adaptive system is output. If the basic status result output value of the adaptive pipeline corresponding to the adaptive system is 0, it is determined that the basic status of the adaptive pipeline corresponding to the adaptive system is abnormal, and the corresponding maintenance is performed. On the contrary, if the basic status result output value of the adaptive pipeline corresponding to the adaptive system is 1, it is determined that the basic status of the adaptive pipeline corresponding to the adaptive system is normal, and the pipe body corresponding to the adaptive pipeline is monitored and analyzed to determine the basic status of the adaptive pipeline corresponding to the adaptive system.

7. The adaptive pipeline monitoring and maintenance system based on flow pressure as claimed in claim 6, characterized in that: The output adaptive pipeline corresponds to the basic state result of the adaptive system, and the specific judgment process is as follows: Through the calculation formula, the output of the adaptive pipeline corresponds to the adaptive system The basic state result value β, a is the sensor function value of the adaptive system corresponding to the adaptive pipeline, b is the output signal of the adaptive system corresponding to the adaptive pipeline, c is the receiving time period of the adaptive system corresponding to the adaptive pipeline, d is the valve opening time period of the adaptive system corresponding to the adaptive pipeline, f is the number of valve openings of the adaptive system corresponding to the adaptive pipeline, k is the valve opening width of the adaptive system corresponding to the adaptive pipeline, n1, n2, n3, n4, n5 and n6 are the weight factors of the set sensor function value, the weight factor of the output signal, the weight factor of the receiving time period, the weight factor of the valve opening time period, the weight factor of the valve opening number and the weight factor of the valve opening width respectively, 0<n1<1, 0<n2<1, 0<n3<1, 0<n4<1, 0<n5<1, 0<n6<1, p is the set reference adaptive system evaluation value.

8. The flow pressure-based adaptive pipeline monitoring and maintenance system according to claim 1, characterized in that: The analysis obtains maintenance measures for the corresponding pipe body of the adaptive pipeline, and the specific analysis process is as follows: The state result value of the pipe body corresponding to the adaptive pipeline is compared with the historical reference state result values ​​of the maintenance measures for the pipe body corresponding to the adaptive pipeline stored in the database. If the state result value of the pipe body corresponding to the adaptive pipeline is less than or equal to a historical reference state result value of the maintenance measures for the pipe body corresponding to the adaptive pipeline stored in the database, the adaptive pipeline is subjected to corresponding sediment cleaning, pipe body crack repair and pipe body connection port remerging. Otherwise, the adaptive pipeline is subjected to corresponding sediment cleaning, cracked pipe body replacement and pipe body connection port reinforcement with auxiliary materials, so as to obtain the maintenance measures for the pipe body corresponding to the adaptive pipeline through analysis.

9. The flow pressure-based adaptive pipeline monitoring and maintenance system according to claim 1, characterized in that: The analysis obtains the maintenance method of the adaptive pipeline corresponding to the adaptive system. The specific analysis process is as follows: The basic state result value of the adaptive system corresponding to the adaptive pipeline is compared with the historical reference basic state result values ​​of the maintenance methods of the adaptive system corresponding to the adaptive pipeline stored in the database. If the state result value of the adaptive pipeline corresponding to the pipe body is greater than or equal to a certain historical reference basic state result value of the maintenance method of the adaptive system corresponding to the adaptive pipeline stored in the database, the maintenance method corresponding to the historical reference basic state result value is used as the maintenance method of the adaptive system corresponding to the current adaptive pipeline, so as to obtain the maintenance measures of the adaptive system corresponding to the adaptive pipeline through analysis.

10. The flow pressure-based adaptive pipeline monitoring and maintenance system according to claim 1, characterized in that: The system also includes a database, which is used to store flow pressure, reference pipeline flow pressure, basic information, basic state information, various historical reference state result values ​​and various historical reference basic state result values.

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