Intelligent composite pipeline with real-time monitoring and analysis decision system

Abstract

The invention discloses an intelligent composite pipeline with a real-time monitoring and analysis decision-making system, and relates to the technical field of intelligent composite pipeline real-time monitoring and analysis decision-making, which comprises a composite pipeline body, a real-time monitoring and analysis decision-making system, an intelligent control emergency valve and a valve control device, the real-time monitoring and analysis decision-making system comprises a monitoring system, a data acquisition terminal, a data processing and analysis platform, a monitoring platform, an emergency response processing platform, a data display terminal and a power supply device. An inner lining layer monitoring system and an outer lining layer monitoring system are embedded into an inner reinforcing layer and an inner lining layer interlayer of the pipeline and an outer reinforcing layer and an outer interlayer of the pipeline correspondingly, and the running state of the pipeline and conveying medium parameters are monitored in real time; when abnormity is monitored, the monitoring system converts abnormal parameters into electric signals, controls the intelligent control emergency valve to block medium transmission, automatically gives an alarm, analyzes fault causes, provides an emergency decision scheme and notifies maintenance personnel, and the management efficiency, the accuracy and the safety of the pipeline are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of real-time monitoring and analysis and decision-making of intelligent composite pipelines, and in particular to an intelligent composite pipeline with a real-time monitoring and analysis and decision-making system. Background Art

[0002] In modern industry and urban infrastructure, pipelines play a vital role in transporting various fluids, such as water, oil, natural gas and chemicals. The safe and efficient operation of pipelines is directly related to the continuity of economic activities and public safety. Traditional pipeline monitoring systems often lack effective monitoring and maintenance mechanisms, resulting in frequent leakage, corrosion, blockage and other problems, which not only cause waste of resources and economic losses, but also may cause environmental disasters and safety accidents. With the continuous advancement of science and technology in recent years, the concept of intelligent composite pipelines has gradually emerged and has been widely studied and applied. The key lies in the real-time monitoring system. With the popularization of real-time monitoring and analysis decision-making systems in intelligent composite pipes, it is necessary to consider the problem of real-time monitoring of the operating status of pipelines and the physical quantity parameters of the medium. At the same time, it is necessary to consider data transmission over long distances and complex environments, and the problem of triggering alarm notifications, quickly providing emergency response decision-making plans and notifying maintenance personnel when there are abnormalities in the operating status of pipelines and the physical quantity parameters of the transported medium. Summary of the invention

[0003] The present invention provides an intelligent composite pipeline with a real-time monitoring and analysis decision system to solve the problems raised in the above background technology. To solve the above technical problems, the technical solution adopted by the present invention is: An intelligent composite pipeline with a real-time monitoring and analysis decision system comprises a composite pipeline body, a real-time monitoring and analysis decision system, an intelligent control emergency valve, and a valve control device; the intelligent control emergency valve is installed at a key position of the pipeline and is controlled by the valve control device, and is used to quickly block medium transmission when there are abnormalities in the pipeline operation state and physical quantity parameters of the conveying medium or when there are abnormal parameters in the data processing and analysis platform, so as to prevent the accident from expanding; the real-time monitoring and analysis decision system comprises a monitoring system, a data acquisition terminal, a data processing and analysis platform, a monitoring platform, an emergency response processing platform, a data display terminal, and a power supply device; the power supply device provides power to the monitoring system; the monitoring system comprises an inner lining monitoring system and an outer lining monitoring system; the inner lining monitoring system is used to monitor the physical quantity parameters of the conveying medium in real time, and the physical quantity parameters of the medium include pressure, temperature, flow rate and whether there are foreign objects in the pipeline; the outer lining monitoring system is used to monitor the operation state of the pipeline in real time, and the operation state of the pipeline includes whether the pipeline leaks, vibrates, corrodes, and deforms; the composite pipeline body comprises an inner lining monitoring system and an outer lining monitoring system; Lining, inner reinforcement layer, middle layer, outer reinforcement layer, outer layer; the inner lining monitoring system and the outer lining monitoring system are respectively embedded in the inner lining and inner reinforcement layer sandwich, and in the outer reinforcement and outer layer sandwich; the data acquisition terminal is responsible for collecting the pipeline operation status and the physical quantity parameters of the conveying medium monitored in real time by the monitoring system, and converting them into electrical signals, which are enhanced by the signal amplifier; the enhanced electrical signals are converted into digital signals by the digital signal conversion device for subsequent processing and transmission; the historical data are compared with the historical data through the historical data query process to identify abnormal trends and potential problems, and the data are refined through the data purification processing module, including removing error values ​​and abnormal values. The processed data are uploaded to the data processing and analysis platform through the wireless communication module. The data processing and analysis platform further analyzes and processes the data, including trend analysis, fault prediction, and intelligent diagnosis. The final analysis results are displayed in the form of tables and charts on the data display terminal and the monitoring platform for operators and managers to view and analyze, so as to realize real-time monitoring of the pipeline operation status and the physical quantity parameters of the conveying medium.

[0004] Furthermore, in the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system. When there is an abnormality or there is a parameter abnormality in the data processing and analysis platform, the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, thereby controlling the valve control device to open the intelligent control emergency valve to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers an alarm and provides an emergency response decision plan based on the intelligent analysis of the diagnosis cause. The dispatching and commanding personnel quickly review the emergency response decision plan and notify and send the emergency response decision plan to the maintenance staff, inform the maintenance staff of the maintenance location, and upload it to the data display terminal at the same time, thereby improving the efficiency and accuracy of pipeline management and rapid maintenance, while reducing the time for maintenance staff to formulate maintenance plans and the need for manual regular inspections, reducing operation and maintenance costs, and improving the safety performance of the pipeline.

[0005] Further, the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the lining layer monitoring system includes a pressure sensor, a flow sensor, a temperature sensor, a foreign body sensor, and an lining layer wireless communication module.

[0006] Further, in the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the pressure sensor is used to monitor the medium pressure in the pipeline and convert it into an electrical signal to prevent excessive pressure from damaging the pipeline; the flow sensor is used to monitor the medium flow in the pipeline; the temperature sensor is used to monitor the medium temperature in the pipeline to prevent abnormal temperature from causing damage to the pipeline; the foreign matter sensor is used to detect whether there is foreign matter in the pipeline to prevent pipeline blockage or wear; the inner lining wireless communication module is used for data transmission.

[0007] Further, the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the outer lining monitoring system includes a leakage detection sensor, a corrosion sensor, a strain sensor, a vibration sensor, and an outer lining wireless communication module.

[0008] Further, in the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the leakage detection sensor is used to monitor in real time whether the medium in the pipeline is leaking, so as to prevent safety accidents caused by leakage; the corrosion sensor is used to monitor the corrosion of the pipeline; the strain sensor is used to monitor the deformation of the pipeline under mechanical stress, so as to help evaluate the stress state and structural integrity of the pipeline and timely discover potential deformation; the vibration sensor is used to monitor the vibration of the pipeline caused by medium flow, mechanical vibration or external impact during operation, so as to help identify abnormal vibration or potential failure of the pipeline; the outer lining wireless communication module is used for data transmission.

[0009] Further, in the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the monitoring platform includes an operation interface, monitoring parameter settings, a historical data query module, and a data sorting module; the operation interface sets predetermined values ​​for monitoring transmission media and pipeline physical quantity parameters, which are transmitted to the monitoring system via the wireless communication module; the predetermined values ​​for monitoring transmission media and pipeline physical quantity parameters are compared with historical data through the historical data query module, uploaded to the data processing and analysis platform via the data sorting module, and displayed on the data display terminal in the form of tables and charts.

[0010] Further, in the aforementioned intelligent composite pipeline with a real-time monitoring and analysis decision-making system, the emergency response processing platform includes alarm notification, provision of emergency response decision-making plans, and notification of maintenance personnel; the data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system. When there is an abnormality or there is a parameter abnormality in the data processing and analysis platform, the monitoring system converts the abnormal parameters into electrical signals and transmits them to the emergency response processing platform, thereby controlling the valve control device to open the intelligent control emergency valve to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision-making plan based on the intelligent analysis of the diagnosis cause. The dispatching and commanding personnel quickly review the emergency response decision-making plan and notify and send the emergency response decision-making plan to the maintenance personnel, inform the maintenance personnel of the maintenance location, and upload it to the data display terminal at the same time, reducing the time for maintenance personnel to formulate maintenance plans.

[0011] The present invention provides an intelligent composite pipeline with a real-time monitoring and analysis decision-making system. It has the following beneficial effects: 1. The present invention adopts a five-layer composite pipe, which is composed of an inner lining layer, an inner reinforcement layer, an intermediate layer, an outer reinforcement layer, and an outer layer, so as to improve the comprehensive performance of the composite pipe to meet the needs of different application scenarios; the inner lining layer monitoring system and the outer lining layer monitoring system are respectively embedded in the interlayer between the inner lining layer and the inner reinforcement layer, and in the interlayer between the outer reinforcement layer and the outer layer, so as to realize real-time monitoring of the operation status of the pipeline and the physical quantity parameters of the conveying medium.

[0012] 2. The present invention designs an emergency response processing platform in the real-time monitoring and analysis decision-making system. When the data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system or the data processing and analysis platform has parameter abnormalities, the monitoring system converts the abnormal parameters into electrical signals and transmits them to the emergency response processing platform, thereby controlling the valve control device to open the intelligent control emergency valve to block the transmission of the medium in time, automatically triggering the alarm and providing an emergency response decision plan based on the intelligent analysis of the diagnosis cause and notifying the maintenance staff, thereby improving the efficiency and accuracy of pipeline management and rapid maintenance, and reducing the time for maintenance staff to formulate maintenance plans and the need for manual regular inspections, reducing operation and maintenance costs, and improving the safety performance of the pipeline.

[0013] 3. The present invention designs a monitoring platform, a data purification processing module and a wireless communication module in a real-time monitoring and analysis decision-making system, sets predetermined values ​​for monitoring transmission media and pipeline physical quantity parameters in the operation interface of the monitoring platform, and sets different predetermined values ​​according to the differences in transmission media and environments, thereby realizing the application of intelligent composite pipelines in multiple fields; by designing a data purification processing module, it realizes refined processing of data to ensure the accuracy of subsequent analysis and avoid erroneous judgments; by adopting a wireless communication module to transmit data, it realizes data transmission over long distances and in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall structure of the intelligent composite pipeline body and the monitoring system of the present invention; Figure 2 It is a flow chart of the real-time monitoring and analysis system of the present invention; Figure 3 It is a schematic diagram of the monitoring platform flow of the present invention; Figure 4 It is a schematic diagram of the emergency response processing platform flow of the present invention.

[0015] In the figure: 1-data processing and analysis platform; 2-inner lining monitoring system; 21-pressure sensor; 22-flow sensor; 23-temperature sensor; 24-foreign matter sensor; 25-inner lining wireless communication module; 3-outer lining monitoring system; 31-outer lining wireless communication module; 32-leak detection sensor; 33-corrosion sensor; 34-strain sensor; 35-vibration sensor; 4-intelligent control emergency valve; 5-valve control device; 6-composite pipeline body; 61-inner lining; 62-inner reinforcement layer; 63-middle layer; 64-outer reinforcement layer; 65-outer layer; 7-data display terminal. DETAILED DESCRIPTION

[0016] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0017] refer to Figure 1-4 The intelligent composite pipeline with a real-time monitoring and analysis decision system shown in the figure comprises a composite pipeline body 6, a real-time monitoring and analysis decision system, an intelligent control emergency valve 4, and a valve control device 5; the intelligent control emergency valve 4 is installed at a key position of the pipeline and is controlled by the valve control device 5, and is used to quickly block the medium transmission when there are abnormalities in the pipeline operation state and the physical quantity parameters of the conveying medium or when there are abnormal parameters in the data processing and analysis platform 1, so as to prevent the accident from expanding; the real-time monitoring and analysis decision system comprises a monitoring system, a data acquisition terminal, a data processing and analysis platform 1, a monitoring platform, an emergency response processing platform, a data display terminal 7, and a power supply device; the inner lining monitoring system 2 and the outer lining monitoring system 3 are respectively embedded in the inner reinforcement layer 62 and the inner reinforcement layer 62 of the pipeline. Real-time monitoring of pipeline operation status and physical quantity parameters of the conveying medium is achieved inside the interlayer of the lining 61 and inside the interlayer of the outer reinforcement layer 64 and the outer layer 65; when an abnormality is detected, the monitoring system converts the abnormal parameters into electrical signals and transmits them to the emergency response processing platform, thereby controlling the valve control device 5 to open the intelligent control emergency valve 4 to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision plan based on the intelligent analysis of the diagnosis cause. The dispatching and commanding personnel quickly review the emergency response decision plan and notify and send the emergency response decision plan to the maintenance staff and inform the maintenance staff of the maintenance location, and upload it to the data display terminal 7 at the same time, thereby improving the efficiency and accuracy of pipeline management and the safety of the pipeline and reducing the need for manual inspections.

[0018] Specifically, the monitoring system includes an inner lining monitoring system 2 and an outer lining monitoring system 3; the inner lining monitoring system 2 is used to monitor the physical quantity parameters of the conveying medium in real time, and the physical quantity parameters of the medium include pressure, temperature, flow rate and whether there are foreign objects in the pipeline; the outer lining monitoring system 3 is used to monitor the operating status of the pipeline in real time, and the operating status of the pipeline includes whether the pipeline is leaking, vibrating, corroding, and deforming; the composite pipeline body 6 includes an inner lining layer 61, an inner reinforcement layer 62, an intermediate layer 63, an outer reinforcement layer 64, and an outer layer 65; the data acquisition terminal is responsible for collecting the pipeline operating status and the physical quantity parameters of the conveying medium monitored in real time by the monitoring system, and converting them into electrical signals, which are enhanced by a signal amplifier; The enhanced electrical signal is converted into a digital signal via a digital signal conversion device for subsequent processing and transmission; it is compared with historical data through a historical data query process to identify abnormal trends and potential problems, and the data is refined through a data purification processing module, including removing error values ​​and abnormal values. The processed data is uploaded to the data processing and analysis platform 1 via a wireless communication module. The data processing and analysis platform 1 further analyzes and processes the data, including trend analysis, fault prediction, and intelligent diagnosis. The final analysis results are displayed in the form of tables and charts on the data display terminal 7 and the monitoring platform for operators and managers to view and analyze, thereby realizing real-time monitoring of the operating status of the pipeline and the physical quantity parameters of the conveying medium.

[0019] The data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system. When there is an abnormality or there is a parameter abnormality in the data processing and analysis platform 1, the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, thereby controlling the valve control device 5 to open the intelligent control emergency valve 4 to block the transmission of the medium in time. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision plan based on the intelligent analysis of the diagnosis cause. The dispatching commander quickly reviews the emergency response decision plan and notifies and sends the emergency response decision plan to the maintenance staff, informs the maintenance staff of the maintenance location, and uploads it to the data display terminal 7 at the same time, thereby improving the efficiency and accuracy of pipeline management and rapid maintenance, while reducing the time for maintenance staff to formulate maintenance plans and the need for manual regular inspections, reducing operation and maintenance costs, and improving the safety performance of the pipeline.

[0020] The inner lining monitoring system 2 includes a pressure sensor 21, a flow sensor 22, a temperature sensor 23, a foreign body sensor 24, and an inner lining wireless communication module 25; the pressure sensor 21 is used to monitor the medium pressure in the pipeline and convert it into an electrical signal to prevent excessive pressure from damaging the pipeline; the flow sensor 22 is used to monitor the medium flow in the pipeline; the temperature sensor 23 is used to monitor the medium temperature in the pipeline to prevent abnormal temperature from causing damage to the pipeline; the foreign body sensor 24 is used to detect whether there is foreign matter in the pipeline to prevent pipeline blockage or wear; the inner lining wireless communication module 25 is used to realize data transmission over long distances and in complex environments.

[0021] The outer lining monitoring system 3 includes a leakage detection sensor 32, a corrosion sensor 33, a strain sensor 34, a vibration sensor 35, and an outer lining wireless communication module 31; the leakage detection sensor 32 is used to monitor in real time whether the medium in the pipeline is leaking, so as to prevent safety accidents caused by leakage; the corrosion sensor 33 is used to monitor the corrosion of the pipeline; the strain sensor 34 is used to monitor the deformation of the pipeline under mechanical stress, to help evaluate the stress state and structural integrity of the pipeline, and to timely discover potential deformation; the vibration sensor 35 is used to monitor the vibration of the pipeline caused by medium flow, mechanical vibration or external impact during operation, to help identify abnormal vibration or potential failure of the pipeline; the outer lining wireless communication module 31 is used to realize data transmission over long distances and in complex environments.

[0022] The monitoring platform includes an operation interface, monitoring parameter settings, a historical data query module, and a data sorting module; the operation interface sets predetermined values ​​for monitoring transmission media and pipeline physical quantity parameters, and different predetermined values ​​are set according to different transmission media and environments, which can meet the needs of different application scenarios and realize the application of composite pipelines in multiple fields, and then transmit them to the monitoring system via the wireless communication module; the predetermined values ​​for monitoring transmission media and pipeline physical quantity parameters are compared with historical data through the historical data query module, uploaded to the data processing and analysis platform 1 via the data sorting module, and displayed in the form of tables and charts on the data display terminal 7.

[0023] The emergency response processing platform includes alarm notification, provision of emergency response decision-making plans, and notification of maintenance personnel; the data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system. When there is an abnormality or there is a parameter abnormality in the data processing and analysis platform 1, the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, thereby controlling the valve control device 5 to open the intelligent control emergency valve 4 to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision-making plan based on the intelligent analysis of the diagnosis cause. The dispatching and commanding personnel quickly review the emergency response decision-making plan and notify and send the emergency response decision-making plan to the maintenance personnel, inform the maintenance personnel of the maintenance location, and upload it to the data display terminal 7 at the same time, reducing the time for maintenance personnel to formulate maintenance plans.

[0024] The working principle process of the present invention is described below: like Figure 1-4As shown, the monitoring system is powered by a power supply device for monitoring. The inner lining monitoring system 2 monitors the physical quantity parameters of the conveying medium in real time, including pressure, temperature, flow rate and whether there are foreign objects in the pipeline; the outer lining monitoring system 3 monitors the operation status of the pipeline in real time, including whether the pipeline leaks, vibrates, corrodes, and deforms; the pipeline operation status and physical quantity parameters of the conveying medium monitored in real time by the monitoring system are collected by the data acquisition terminal and converted into electrical signals, the signal amplifier enhances the electrical signals and converts them into digital signals through a digital signal conversion device, and the data is compared with the historical data through a historical data query process and the data purification processing module performs fine processing on the data, and the processed data is uploaded to the data processing and analysis platform 1 through a wireless communication module, and the data processing and analysis platform 1 performs further analysis and processing on the data, including trend analysis, fault prediction, and intelligent diagnosis, and the final analysis results are displayed in the form of tables and charts on the data display terminal 7 and the monitoring platform for operators and managers. The management personnel can view and analyze to realize real-time monitoring of the operation status of the pipeline and the physical quantity parameters of the conveying medium; the data acquisition terminal is responsible for collecting the pipeline operation status and the physical quantity parameters of the conveying medium monitored by the monitoring system in real time. When there is an abnormality or there is a parameter abnormality in the data processing and analysis platform 1, the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, thereby controlling the valve control device 5 to open the intelligent control emergency valve 4 to block the transmission of the medium in time to prevent the accident from expanding. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision plan based on the intelligent analysis of the diagnosis cause. The dispatching command personnel quickly review the emergency response decision plan and notify and send the emergency response decision plan to the maintenance staff, inform the maintenance staff of the maintenance location, and upload it to the data display terminal 7 at the same time, thereby improving the efficiency and accuracy of pipeline management and rapid maintenance, while reducing the time for maintenance staff to formulate maintenance plans and the need for manual regular inspections, reducing operation and maintenance costs, and improving the safety performance of the pipeline.

[0025] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent composite pipeline with a real-time monitoring and analysis decision system, characterized in that: It comprises a composite pipeline body (6), a real-time monitoring and analysis decision system, an intelligent control emergency valve (4), and a valve control device (5); the intelligent control emergency valve (4) is installed at a key position of the pipeline and is controlled by the valve control device (5) to block the transmission of the medium in the event of an abnormality; the real-time monitoring and analysis decision system comprises a monitoring system, a data acquisition terminal, a data processing and analysis platform (1), a monitoring platform, an emergency response processing platform, a data display terminal (7), and a power supply device; The power supply device provides power to the monitoring system; the monitoring system comprises an inner lining monitoring system (2) and an outer lining monitoring system (3); the inner lining monitoring system (2) is used to monitor the physical quantity parameters of the conveying medium in real time, the physical quantity parameters of the medium comprising pressure, temperature, flow rate and whether there are foreign objects in the pipeline; the outer lining monitoring system (3) is used to monitor the operating state of the pipeline in real time, the operating state of the pipeline comprising whether there is leakage, vibration, corrosion or deformation of the pipeline; the composite pipeline body (6) comprises an inner lining layer (61), an inner reinforcement layer (62), an intermediate layer (63), The outer reinforcement layer (64) and the outer layer (65); the inner lining layer monitoring system (2) and the outer lining layer monitoring system (3) are respectively embedded in the inner layer (61) and the inner reinforcement layer (62) and in the outer layer (64) and the outer layer (65); the data acquisition terminal is responsible for collecting the pipeline operation status and the physical quantity parameters of the conveying medium monitored in real time by the monitoring system, and converting them into electrical signals, which are enhanced by the signal amplifier; the enhanced electrical signals are converted into digital signals by the digital signal conversion device for subsequent processing and transmission; the historical data query process and the historical data are used to query the data. Comparison is performed to identify abnormal trends and potential problems. The data is refined through a data purification processing module, including removing error values ​​and abnormal values. The processed data is uploaded to a data processing and analysis platform (1) through a wireless communication module. The data processing and analysis platform (1) further analyzes and processes the data, including trend analysis, fault prediction, and intelligent diagnosis. The final analysis results are displayed in the form of tables and charts on a data display terminal (7) and a monitoring platform for operators and managers to view and analyze. The data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the transported medium monitored in real time by the monitoring system. When there is an abnormality or a parameter abnormality exists on the data processing and analysis platform (1), the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, so that the valve control device (5) opens the intelligent control emergency valve (4) to promptly block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers an alarm and provides an emergency response decision plan based on the diagnosis cause intelligent analysis. The dispatching command personnel quickly review the emergency response decision plan and notify and send the emergency response decision plan to the maintenance staff, and upload it to the data display terminal (7).

2. The intelligent composite pipeline with real-time monitoring and analysis decision-making system according to claim 1 is characterized in that: The inner lining monitoring system (2) comprises a pressure sensor (21), a flow sensor (22), a temperature sensor (23), a foreign matter sensor (24), and an inner lining wireless communication module (25); the pressure sensor (21) is used to monitor the pressure of a medium in a pipeline and convert it into an electrical signal; the flow sensor (22) is used to monitor the flow of a medium in a pipeline; the temperature sensor (23) is used to monitor the temperature of a medium in a pipeline; the foreign matter sensor (24) is used to detect whether a foreign matter is present in a pipeline; and the inner lining wireless communication module (25) is used to transmit data.

3. The intelligent composite pipeline with real-time monitoring and analysis decision-making system according to claim 1 is characterized in that: The outer lining monitoring system (3) comprises a leakage detection sensor (32), a corrosion sensor (33), a strain sensor (34), a vibration sensor (35), and an outer lining wireless communication module (31); the leakage detection sensor (32) is used to monitor in real time whether a medium in the pipeline leaks; the corrosion sensor (33) is used to monitor the corrosion of the pipeline; the strain sensor (34) is used to monitor the deformation of the pipeline under mechanical stress, evaluate the stress state and structural integrity of the pipeline, and promptly detect potential deformation; the vibration sensor (35) is used to monitor the vibration of the pipeline caused by medium flow, mechanical vibration or external impact during operation, and identify abnormal vibration or potential failure of the pipeline; and the outer lining wireless communication module (31) is used to transmit data.

4. The intelligent composite pipeline with real-time monitoring and analysis decision-making system according to claim 1 is characterized in that: The monitoring platform comprises an operation interface, monitoring parameter settings, a historical data query module, and a data sorting module; the operation interface sets predetermined values ​​of monitoring transmission media and pipeline physical quantity parameters, which are transmitted to the monitoring system via the wireless communication module, compared with historical data via the historical data query module, and uploaded to the data processing and analysis platform (1) by the data sorting module, and displayed on the data display terminal (7) in the form of tables and charts.

5. The intelligent composite pipeline with real-time monitoring and analysis decision-making system according to claim 1 is characterized in that: The emergency response processing platform includes alarm notification, provision of emergency response decision-making plan, and notification of maintenance personnel; the data acquisition terminal is responsible for collecting the pipeline operation status and physical quantity parameters of the transported medium monitored in real time by the monitoring system. When there is an abnormality or a parameter abnormality exists in the data processing and analysis platform (1), the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, so that the valve control device (5) opens the intelligent control emergency valve (4) to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers the alarm and provides an emergency response decision-making plan based on the diagnosis cause intelligent analysis. The dispatching command personnel quickly review the emergency response decision-making plan and notify and send the emergency response decision-making plan to the maintenance personnel, and upload it to the data display terminal (7).

6. An intelligent composite pipeline with a real-time monitoring and analysis decision system according to any one of claims 1 to 5, characterized in that: The specific operation steps of the real-time monitoring and analysis decision-making system include the following: Step S1: The power supply device provides power to the monitoring system to start the inner lining monitoring system (2) and the outer lining monitoring system (3); Step S2: The inner lining monitoring system (2) is responsible for real-time monitoring of the physical parameters of the conveying medium, including pressure, temperature, flow rate and whether there are foreign objects in the pipeline; the outer lining monitoring system (3) is responsible for real-time monitoring of the operating status of the pipeline, including whether the pipeline is leaking, vibrating, corroding or deforming; Step S3: The data acquisition terminal collects the pipeline operation status and physical quantity parameters of the transport medium monitored in real time by the monitoring system and converts them into electrical signals. The signal amplifier enhances the electrical signals and converts them into digital signals through the digital signal conversion device for subsequent processing and transmission. Step S4: The converted digital signal is compared with the historical data through the historical data query process and the data purification processing module performs fine processing on the data. The processed data is uploaded to the data processing and analysis platform (1) through the wireless communication module. The data processing and analysis platform (1) further analyzes and processes the data, including trend analysis, fault prediction, and intelligent diagnosis. The final analysis results are displayed in the form of tables and charts on the data display terminal (7) and the monitoring platform; Step S5: When the data acquisition terminal collects the pipeline operation status and the physical quantity parameters of the conveying medium monitored in real time by the monitoring system and finds an abnormality or the data processing and analysis platform (1) has a parameter abnormality, the monitoring system converts the abnormal parameter into an electrical signal and transmits it to the emergency response processing platform, so that the valve control device (5) opens the intelligent control emergency valve (4) to timely block the transmission of the medium. At the same time, the emergency response processing platform receives the signal and automatically triggers an alarm and provides an emergency response decision plan based on the intelligent analysis of the diagnosis cause. The dispatching command personnel quickly review the emergency response decision plan and notify and send the emergency response decision plan to the maintenance staff, and upload it to the data display terminal (7).

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