A MEMS pipeline monitoring system and method

Abstract

The present invention relates to a MEMS pipeline monitoring system and method, wherein the system comprises: a sensing node, comprising a MEMS sensor distributedly implanted on the pipeline during the pipeline production process, and used for distributedly acquiring pipeline information and uploading it; an edge node, comprising a demodulator electrically connected to the sensing node in series and parallel via a data power bus, and used for controlling the sensing node to upload the pipeline information and forwarding the pipeline information to a control center via a wireless network; the present invention utilizes MEMS as a sensing medium to implant sensors during the pipeline manufacturing process, and a multi-sensor, multi-installation point intelligent pipeline structure that combines point-type and distributed sensors can realize full-state perception of the entire life cycle of energy pipelines, strongly support the construction of smart pipe networks and smart energy systems, and realize risk event identification and intelligent early warning of pipelines, thereby ensuring the safe operation of oil and gas pipelines at all times and in all domains.

Description

Technical Field

[0001] The present invention relates to the field of pipeline monitoring, and in particular to a MEMS pipeline monitoring system and method. Background Art

[0002] As an important part of energy infrastructure, the safety of oil and gas pipeline networks is crucial to the operation of society and the lives of the public. These pipeline networks are widely distributed in various places and are directly exposed to complex social environments and natural conditions. Although pipeline transportation effectively improves the efficiency of oil and gas transmission, it faces multiple external risks such as third-party damage, illegal intrusion, and natural disasters. Especially in high-consequence areas, once the pipeline is damaged, it is very easy to cause supply interruptions, environmental pollution, explosions and other accidents, causing huge economic losses, natural disasters and personal injuries.

[0003] The pipeline safety early warning system is mainly used to warn of intrusion events that threaten pipeline safety. In addition to natural disasters such as pipeline corrosion and landslides, third-party sabotage events such as mechanical and manual excavation and drilling are the main factors causing pipeline leakage. According to different monitoring cycles, pipeline safety monitoring technology can be divided into continuous pipeline safety monitoring technology and non-continuous pipeline safety monitoring technology.

[0004] The existing pipeline monitoring technology is the main body stress monitoring technology, which monitors the main body stress of the pipeline by installing three point sensors on the pipeline, but it cannot be installed during the pipeline manufacturing process. In the context of a larger pipeline network, a more complex operating environment, and more stringent intrinsic safety, the existing monitoring technology cannot meet the demand for all-round real-time online intelligent perception of pipelines. Summary of the invention

[0005] The present invention provides a MEMS pipeline monitoring system and method to solve at least one of the above technical problems.

[0006] The technical solution of the present invention to solve the above technical problem is as follows: A MEMS pipeline monitoring system, comprising:

[0007] Sensing nodes include MEMS sensors distributedly implanted on the pipeline during the pipeline manufacturing process, which are used to obtain pipeline information in a distributed manner and upload it;

[0008] An edge node, comprising a demodulator electrically connected to the sensing node in series and in parallel via a data power bus, for controlling the sensing node to upload the pipeline information and forwarding the pipeline information to a control center via a wireless network;

[0009] The communication process between the sensing node, demodulator and control center is:

[0010] After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node;

[0011] After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node.

[0012] After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node;

[0013] After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission;

[0014] After the sensing node obtains the pipeline information and completes data packaging, the demodulator sends an information transmission permit to the network and enters the data receiving mode to wait for the arrival of network data; each sensing node sends the packaged data as network data to the demodulator in sequence according to the order of information transmission permit;

[0015] After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network;

[0016] After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

[0017] Based on the above technical solution, the present invention can also be improved as follows.

[0018] Furthermore, the pipeline information includes strain information, temperature information and vibration information of the pipeline;

[0019] The MEMS sensor includes a MEMS strain temperature sensor and a MEMS acceleration sensor, wherein the MEMS strain temperature sensor is used to obtain the strain information and the temperature information, and the MEMS acceleration sensor is used to obtain the vibration information;

[0020] The MEMS strain temperature sensor is specifically obtained by integrating a strain sensor and a temperature sensor using a MEMS thin film processing method.

[0021] Furthermore, the MEMS sensors are implanted on the pipe cross section at preset intervals and arranged at equal angles of 90°.

[0022] Furthermore, the sensing node further includes:

[0023] An acquisition and calculation module, which is connected to the MEMS sensor and is used to perform sampling and feature extraction processing on the pipeline information acquired by the MEMS sensor, obtain the pipeline information after front-end processing, and upload the pipeline information after front-end processing;

[0024] The acquisition and calculation module is tightly attached to the pipeline surface in the form of a FBC flexible circuit board.

[0025] Furthermore, the acquisition and calculation module includes an MCU support circuit and a power supply circuit and an RS485 circuit connected to the MCU support circuit; wherein the core chip model of the MCU support circuit is STM32G431KBU3.

[0026] Furthermore, on the pipe in which the MEMS sensor is implanted, a thermo-induced deformation coating method is adopted to coat the MEMS sensor in an anti-corrosion layer using a thermo-induced deformation material;

[0027] Wherein, the thermo-deformable material is specifically a polyethylene material;

[0028] The method of thermo-induced deformation coating is adopted to coat the MEMS sensor in the anti-corrosion layer using thermo-induced deformation material, specifically:

[0029] The substrate where the MEMS sensor is located is connected to the anti-corrosion layer of the protective shell by using polyethylene material, so that the substrate and the protective shell form an integral whole;

[0030] The polyethylene material is heated to deform and melt the polyethylene material, so that the substrate is covered by the anti-corrosion layer and separated from the protective shell into two independent entities.

[0031] Further, the demodulator comprises:

[0032] MCU;

[0033] A second bus interface and a second bus module, wherein the second bus interface is connected to the MCU through the second bus module;

[0034] A USB interface and a USB chip, wherein the USB interface is connected to the MCU via the USB chip;

[0035] SRAM, SD card and 4G module are all connected to the MCU;

[0036] The SIM card and the antenna are both connected to the 4G module.

[0037] Furthermore, the demodulator is also provided with a power supply, which includes a power supply interface, a power isolation module and a power processing module connected in sequence; wherein the power supply interface includes a solar power supply interface and a lithium battery power supply interface.

[0038] Furthermore, the model of the MCU is STM32H750.

[0039] Based on the above-mentioned MEMS pipeline monitoring system, the present invention also provides a MEMS pipeline monitoring method.

[0040] A MEMS pipeline monitoring method, using the above-mentioned MEMS pipeline monitoring system for monitoring, comprises:

[0041] Using sensing nodes to obtain pipeline information in a distributed manner and upload it; wherein the sensing nodes include MEMS sensors distributedly implanted on the pipeline during the pipeline manufacturing process;

[0042] The sensing node is controlled by the edge node to upload the pipeline information, and the pipeline information is forwarded to the control center through the wireless network; wherein the edge node includes a demodulator electrically connected to the sensing node in series and in parallel through a data power bus;

[0043] The communication process between the sensing node, demodulator and control center is:

[0044] After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node;

[0045] After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node.

[0046] After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node;

[0047] After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission;

[0048] After the sensing node obtains the pipeline information and completes data packaging, the demodulator sends an information transmission permit to the network and enters the data receiving mode to wait for the arrival of network data; each sensing node sends the packaged data as network data to the demodulator in sequence according to the order of information transmission permit;

[0049] After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network;

[0050] After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

[0051] The beneficial effects of the present invention are as follows: a MEMS pipeline monitoring system and method of the present invention utilizes MEMS as a sensing medium to implant sensors during the pipeline manufacturing process. The intelligent pipeline structure with multiple sensors and multiple installation points combined with point-type and distributed sensors can realize full-state perception of the entire life cycle of energy pipelines, strongly support the construction of smart pipeline networks and smart energy systems, and realize risk event identification and intelligent early warning of pipelines, thereby ensuring the safe operation of oil and gas pipelines at all times and in all domains. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a structural block diagram of a MEMS pipeline monitoring system of the present invention;

[0053] Figure 2 is a flow chart of the communication process between the sensing node, the demodulator and the control center;

[0054] Figure 3 The schematic diagram of the communication process between the sensing node, the demodulator and the control center;

[0055] Figure 4 is the structural block diagram of the demodulator;

[0056] Figure 5 The present invention is a flowchart of a MEMS pipeline monitoring method.

[0057] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0058] 1. Sensing node; 2. Pipeline; 3. Edge node; 4. Data power bus; 5. Control center; 6. Antenna; 7. Solar panel. DETAILED DESCRIPTION

[0059] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0060] like Figure 1 As shown, a MEMS pipeline monitoring system includes:

[0061] Sensing node 1, which includes a MEMS sensor distributedly implanted on the pipeline 2 during the production process of the pipeline 2, and is used for distributed acquisition of pipeline information and uploading;

[0062] The edge node 3 includes a demodulator electrically connected to the sensing node 1 in series and parallel via a data power bus 4, and is used to control the sensing node 1 to upload the pipeline information and forward the pipeline information to the control center 5 via a wireless network.

[0063] Among them, MEMS is the abbreviation of MicroElectroMechanicalSystem, which is called micro-electromechanical system. MEMS sensors are functional devices that realize micro-electromechanical system perception and signal processing. This sensor adopts MEMS manufacturing technology, that is, microelectronics manufacturing technology and micro-machining manufacturing technology. MEMS pipes are pipes with MEMS sensors installed.

[0064] like Figure 2 As shown in the figure, the communication process between the sensing node, the demodulator and the control center is:

[0065] After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node;

[0066] After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node.

[0067] After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node;

[0068] After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission;

[0069] After the sensing node obtains the pipeline information and completes data packaging, the demodulator sends an information transmission permit to the network and enters the data receiving mode to wait for the arrival of network data; each sensing node sends the packaged data as network data to the demodulator in sequence according to the order of information transmission permit;

[0070] After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network;

[0071] After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

[0072] Among them, ID is the abbreviation of Identity document, which means identity identification. NTP is the abbreviation of Network Time Protocol, which means Network Time Protocol. NTP network time server is a server based on Network Time Protocol.

[0073] Figure 3 The schematic diagram of the communication process between the sensing node, demodulator and control center is used to explain the specific Figure 2 Flowchart of the process.

[0074] (1) Wake up:

[0075] The demodulator acts as the gateway controller of the distributed wireless network and controls the operating frequency of the entire system. After reaching the set time or receiving a remote command, the demodulator controls the power supply to power on the sensing network, thereby waking up each sensing node.

[0076] (2) Sensing node access to the network:

[0077] After each sensing node is activated, it will handshake with the edge node and send its own network ID to apply for network access. After the handshake is successful, the gateway node will check whether the network ID of each sensing node is legal to decide whether to reallocate the network ID.

[0078] (3) Clock synchronization:

[0079] After the node is connected to the network, the demodulator synchronizes the clocks of each sensing node to ensure that each sensing node can start information collection at the same time, thereby restoring the authenticity and integrity of the pipeline distribution information as much as possible.

[0080] (4) Sensing node collection:

[0081] After the clock synchronization process is completed, each sensing node starts the information collection process. After completing the information collection, the information is processed and feature extracted locally, and the data is packaged and waits for the network's information transmission permission.

[0082] (5) Sensor network information transmission:

[0083] After the sensing node completes the collection, the demodulator sends an information transmission permission to the network and enters the data receiving mode, waiting for the arrival of network data; each sensing node sends the data to the demodulator in turn according to the permission order.

[0084] (6) Data transmission:

[0085] After receiving the network data, the demodulator packages the data and forwards it to the control center through the 4G network.

[0086] (7) System hibernation:

[0087] When the data collection and analysis is completed, the demodulator controls the power supply to power off each sensing node in the sensor network. At the same time, the NTP network time server is accessed through the 4G network to correct the local clock to ensure that the system can wake up at the correct time. Then, the system goes into sleep mode to save energy.

[0088] In view of the low-power design requirements, the modules and main components selected in the present invention all adopt low-power devices; at the same time, the algorithms and communication protocols are optimized to improve the computing and communication efficiency and reduce power consumption.

[0089] In some embodiments, the pipeline information includes strain information, temperature information and vibration information of the pipeline;

[0090] The MEMS sensor includes a MEMS strain temperature sensor and a MEMS acceleration sensor, wherein the MEMS strain temperature sensor is used to obtain the strain information and the temperature information, and the MEMS acceleration sensor is used to obtain the vibration information;

[0091] The MEMS strain temperature sensor is specifically obtained by integrating a strain sensor and a temperature sensor using a MEMS thin film processing method.

[0092] MEMS sensors have the characteristics of miniaturization, integration, intelligence, low cost, high efficiency, and mass production. When subjected to electromagnetic interference in all directions, the output acceleration value of MEMS sensors is lower than that of piezoelectric sensors. The anti-interference ability is far superior to that of piezoelectric sensors, and it has excellent stability. Compared with the generally calculated warm-up time of 1 to 10 seconds for piezoelectric sensors, the warm-up time of MEMS acceleration sensors can be less than 1 second, and the power-on time is shorter and the energy consumption is less during the measurement process. In response to the needs of pipeline body detection and monitoring, acceleration sensors based on MEMS technology can be implanted in the pipeline to measure pipeline vibration.

[0093] In view of the requirements of information collection accuracy and volume, the MEMS thin film processing technology is used to integrate the strain sensor and temperature sensor. While reducing the volume of the sensor, the coupling relationship and decoupling requirements of temperature strain are fully considered, thereby improving the perception accuracy of information.

[0094] In some embodiments, the MEMS sensors are implanted in a pipe cross section at preset intervals and arranged at equal angles of 90°.

[0095] The sensing node consists of MEMS strain temperature sensors, MEMS acceleration sensors, and acquisition and calculation modules, and is responsible for collecting information such as strain, temperature, and vibration of the pipeline. During the pipeline production stage, the sensing nodes are implanted at 90° angles on sections with an interval of 1 meter to achieve distributed collection of pipeline information.

[0096] The present invention proposes for the first time an intelligent energy pipeline (i.e., MEMS sensors are distributedly implanted on the pipeline 2 during the pipeline production and manufacturing process), creating an intelligent pipeline structure with multiple sensors and multiple installation points, including point-type inner and outer wall installation and point-type and distributed combination. This can realize full-state perception of the energy pipeline throughout its entire life cycle, and strongly support the construction of smart pipe networks and intelligent energy systems.

[0097] In order to meet the requirements of system usability, this solution adopts a distributed acquisition method. All sensing nodes are universal. The distributed sensor network can be built by connecting the system through only one data power bus, which is simple and easy to use. From the perspective of the implantation process, only two operations, namely installing sensors and connecting wires, are required to complete the implantation of the system, making the system highly usable.

[0098] In some embodiments, the sensing node further comprises:

[0099] An acquisition and calculation module, which is connected to the MEMS sensor and is used to perform sampling and feature extraction processing on the pipeline information acquired by the MEMS sensor, obtain the pipeline information after front-end processing, and upload the pipeline information after front-end processing;

[0100] The acquisition and calculation module is closely attached to the pipeline surface in the form of a flexible circuit board (FBC). FBC is the abbreviation of Flexible Base Circuit, which stands for flexible substrate circuit and is a flexible circuit board.

[0101] The acquisition and calculation module processes and extracts features of the strain, temperature, and vibration signals collected locally at the sensing node to realize front-end calculation of the information.

[0102] In response to the common design requirements of modules, the acquisition and computing modules of the sensing node adopt FBC flexible circuit board design and processing technology. Its flexible and deformable characteristics can effectively ensure the close fit between the module and the pipeline surface.

[0103] In some embodiments, the acquisition and calculation module includes an MCU support circuit and a power supply circuit and an RS485 circuit connected to the MCU support circuit; wherein the core chip model of the MCU support circuit is STM32G431KBU3. MCU is the abbreviation of Microcontroller Unit, which means a microcontroller unit. RS485 is a standard for multi-point communication with electrical characteristics specified as 2-wire, half-duplex, balanced transmission line belonging to the physical layer of the OSI model, and the RS485 circuit is a communication circuit that adopts this standard.

[0104] In some embodiments, on a pipe implanted with a MEMS sensor, a thermo-induced deformation coating method is used to coat the MEMS sensor in an anti-corrosion layer using a thermo-induced deformation material;

[0105] Wherein, the thermo-deformable material is specifically a polyethylene material;

[0106] The method of thermo-induced deformation coating is adopted to coat the MEMS sensor in the anti-corrosion layer using thermo-induced deformation material, specifically:

[0107] The substrate where the MEMS sensor is located is connected to the anti-corrosion layer of the protective shell by using polyethylene material, so that the substrate and the protective shell form an integral whole;

[0108] The polyethylene material is heated to deform and melt the polyethylene material, so that the substrate is covered by the anti-corrosion layer and separated from the protective shell into two independent entities.

[0109] The present invention proposes for the first time a method for installing an intelligent sensor for an anti-corrosion layer of a pipeline. The method adopts a thermo-deformation coating method for installation. The sensor is coated on the anti-corrosion layer using a thermo-deformation material, and the temperature change is used to form a bond with the surface of the anti-corrosion layer for installation. This achieves a high survival rate of the intelligent sensor, efficient installation, and a high degree of consistency with the anti-corrosion layer.

[0110] Before installation, the substrate (specifically a titanium alloy substrate) where the MEMS sensor is located is connected to the protective shell through a column made of polyethylene material, making them one piece, which is convenient for transportation and installation. After being heated, the polyethylene material deforms and melts, and then the substrate and the outer protective shell are separated to become two independent entities. This allows external factors to be counteracted through the outer protective shell without affecting the MEMS sensor.

[0111] In addition, in response to the system's high temperature resistance requirements, high temperature resistant materials and devices are used for sensor materials, welding processes, and electronic components. At the same time, the package is designed to be resistant to high temperatures to improve the system's high temperature tolerance and ensure the survival rate of the sensor.

[0112] In some embodiments, Figure 4As shown, the demodulator comprises:

[0113] MCU;

[0114] A second bus interface and a second bus module, wherein the second bus interface is connected to the MCU through the second bus module;

[0115] A USB interface and a USB chip, wherein the USB interface is connected to the MCU via the USB chip;

[0116] SRAM, SD card and 4G module are all connected to the MCU;

[0117] The SIM card and the antenna are both connected to the 4G module.

[0118] USB is the abbreviation of Universal Serial Bus, which refers to a serial bus standard. SRAM is the abbreviation of Static Random Access Memory, which refers to static random access memory. 4G stands for the 4th generation of mobile communications. SIM card stands for Subscriber Identity Module.

[0119] Specifically, the sensing node is connected to the demodulator in series and parallel through the data power bus. The demodulator and the sensing node form a distributed sensor network. The demodulator acts as a network manager and forwards the data on the bus to the remote control center through the 4G wireless communication module. Among them; Figure 1 6 represents an antenna, and the 4G wireless communication module communicates with the control center through the antenna 6.

[0120] In some embodiments, Figure 4 As shown, the demodulator is also provided with a power supply, and the power supply includes a power supply interface, a power isolation module and a power processing module connected in sequence; wherein the power supply interface includes a solar power supply interface and a lithium battery power supply interface.

[0121] A lithium battery is also provided at the edge node, which is connected to the lithium battery power supply interface to power the demodulator and the sensing node.

[0122] In addition, the overall energy supply of the system is provided by a small photovoltaic system; Figure 1 7 represents a solar panel, and the solar panel 7 and the solar power supply interface serve as a small photovoltaic system to power the demodulator and the sensing node, and can also charge the lithium battery. In some embodiments, the model of the MCU is STM32H750.

[0123] The CPU uses the STM32H750 model chip, which has an ARM Cortex-M7 core built in and can run at a main frequency of 400MHz. When executing programs from Flash, the STM32H750 value series can achieve a performance of 2020CoreMark / 856DMIPS, and uses its L1 cache to achieve zero-wait execution. The DSP instruction set and double-precision FPU (floating-point unit) expand its application range. Thanks to the L1 cache (16 KB + 16 KB of instruction cache and data cache), there is no performance loss even when using external memory. The multi-power domain architecture allows different power domains to be set to low-power mode to optimize energy efficiency. In addition to providing different ranges of voltage to the core in run and stop modes through a main regulator with voltage regulation, the device also embeds a USB regulator and backup regulator that can power the on-chip PHY (external signal interface chip). The maximum junction temperature supported is up to 125°C, and the performance of the core and peripherals can be fully utilized even if the ambient temperature rises within the safe temperature range.

[0124] Based on the above-mentioned MEMS pipeline monitoring system, the present invention also provides a MEMS pipeline monitoring method.

[0125] like Figure 5 As shown, a MEMS pipeline monitoring method is characterized in that the monitoring is performed using the above-mentioned MEMS pipeline monitoring system, including:

[0126] Using sensing nodes to obtain pipeline information in a distributed manner and upload it; wherein the sensing nodes include MEMS sensors distributedly implanted on the pipeline during the pipeline manufacturing process;

[0127] The sensing node is controlled by the edge node to upload the pipeline information, and the pipeline information is forwarded to the control center through the wireless network; wherein the edge node includes a demodulator electrically connected to the sensing node in series and in parallel through a data power bus;

[0128] The communication process between the sensing node, demodulator and control center is:

[0129] After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node;

[0130] After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node.

[0131] After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node;

[0132] After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission;

[0133] After the sensing node obtains the pipeline information and completes data packaging, the demodulator sends an information transmission permit to the network and enters the data receiving mode to wait for the arrival of network data; each sensing node sends the packaged data as network data to the demodulator in sequence according to the order of information transmission permit;

[0134] After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network;

[0135] After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

[0136] The present invention provides a MEMS pipeline monitoring system and method, which utilizes MEMS as a sensing medium to implant sensors during the pipeline manufacturing process. The intelligent pipeline structure with multiple sensors and multiple installation points that combine point-type and distributed methods can realize full-state perception of the entire life cycle of energy pipelines, strongly support the construction of smart pipe networks and smart energy systems, and realize risk event identification and intelligent early warning of pipelines, thereby ensuring the safe operation of oil and gas pipelines at all times and in all domains.

[0137] The overall design of the present invention is based on the architecture of edge computing, and sensors are regarded as computing terminals. In future practical applications, cloud servers will be introduced to build a cloud-edge computing framework to realize digital intelligent pipeline applications.

[0138] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A MEMS pipeline monitoring system, characterized in that: include: Sensing nodes include MEMS sensors distributedly implanted on the pipeline during the pipeline manufacturing process, which are used to obtain pipeline information in a distributed manner and upload it; An edge node, comprising a demodulator electrically connected to the sensing node in series and in parallel via a data power bus, for controlling the sensing node to upload the pipeline information and forwarding the pipeline information to a control center via a wireless network; The communication process between the sensing node, demodulator and control center is: After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node; After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node. After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node; After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission; After the sensing node obtains the pipeline information and completes data packaging, it lets the demodulator send information transmission permission to the network and puts the demodulator into data receiving mode, waiting for the arrival of network data; Let each sensing node send the packaged data as network data to the demodulator in turn according to the order of information transmission permission; After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network; After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

2. The MEMS pipeline monitoring system according to claim 1, characterized in that: The pipeline information includes strain information, temperature information and vibration information of the pipeline; The MEMS sensor includes a MEMS strain temperature sensor and a MEMS acceleration sensor, wherein the MEMS strain temperature sensor is used to obtain the strain information and the temperature information, and the MEMS acceleration sensor is used to obtain the vibration information; The MEMS strain temperature sensor is specifically obtained by integrating a strain sensor and a temperature sensor using a MEMS thin film processing method.

3. The MEMS pipeline monitoring system according to claim 1, characterized in that: The MEMS sensors are implanted on the pipe cross section at preset intervals and arranged at equal angles of 90°.

4. The MEMS pipeline monitoring system according to claim 1, characterized in that: The sensing node also includes: An acquisition and calculation module, which is connected to the MEMS sensor and is used to perform sampling and feature extraction processing on the pipeline information acquired by the MEMS sensor, obtain the pipeline information after front-end processing, and upload the pipeline information after front-end processing; The acquisition and calculation module is tightly attached to the pipeline surface in the form of a FBC flexible circuit board.

5. The MEMS pipeline monitoring system according to claim 4, characterized in that: The acquisition and calculation module includes an MCU support circuit and a power supply circuit and an RS485 circuit connected to the MCU support circuit; wherein the core chip model of the MCU support circuit is STM32G431KBU3.

6. The MEMS pipeline monitoring system according to claim 1, characterized in that: On the pipe with the MEMS sensor implanted, a thermo-induced deformation coating method is adopted to coat the MEMS sensor in an anti-corrosion layer using a thermo-induced deformation material; Wherein, the thermo-deformable material is specifically a polyethylene material; The method of thermo-induced deformation coating is adopted to coat the MEMS sensor in the anti-corrosion layer using thermo-induced deformation material, specifically: The substrate where the MEMS sensor is located is connected to the anti-corrosion layer of the protective shell by using polyethylene material, so that the substrate and the protective shell form an integral whole; The polyethylene material is heated to deform and melt the polyethylene material, so that the substrate is covered by the anti-corrosion layer and separated from the protective shell into two independent entities.

7. The MEMS pipeline monitoring system according to claim 1, characterized in that: The demodulator comprises: MCU; A second bus interface and a second bus module, wherein the second bus interface is connected to the MCU through the second bus module; A USB interface and a USB chip, wherein the USB interface is connected to the MCU via the USB chip; SRAM, SD card and 4G module are all connected to the MCU; The SIM card and the antenna are both connected to the 4G module.

8. The MEMS pipeline monitoring system according to claim 7, characterized in that: The demodulator is also provided with a power supply, which includes a power supply interface, a power isolation module and a power processing module connected in sequence; wherein the power supply interface includes a solar power supply interface and a lithium battery power supply interface.

9. The MEMS pipeline monitoring system according to claim 7, characterized in that: The model of the MCU is STM32H750.

10. A MEMS pipeline monitoring method, characterized in that: Monitoring using the MEMS pipeline monitoring system according to any one of claims 1 to 9 comprises: Using sensing nodes to obtain pipeline information in a distributed manner and upload it; wherein the sensing nodes include MEMS sensors distributedly implanted on the pipeline during the pipeline manufacturing process; The sensing node is controlled by the edge node to upload the pipeline information, and the pipeline information is forwarded to the control center through the wireless network; wherein the edge node includes a demodulator electrically connected to the sensing node in series and in parallel through a data power bus; The communication process between the sensing node, demodulator and control center is: After reaching the set time or receiving the command from the control center, the demodulator is used to control the power supply to power on, thereby waking up each sensing node; After each sensing node is awakened, each sensing node performs handshake communication with the demodulator, and sends its own network ID to the demodulator to apply for each sensing node to join the network. After each sensing node successfully shakes hands with the demodulator, the demodulator checks whether the network ID of each sensing node is legal to decide whether to reallocate the network ID to the sensing node. After each sensing node has been connected to the network, the demodulator is used to synchronize the clocks of each sensing node; After the clock synchronization is completed, each sensing node is controlled to start acquiring pipeline information and packaging data, waiting for the network's information transmission permission; After the sensing node obtains the pipeline information and completes data packaging, the demodulator sends an information transmission permit to the network and enters the data receiving mode to wait for the arrival of network data; each sensing node sends the packaged data as network data to the demodulator in sequence according to the order of information transmission permit; After the demodulator receives the network data, the control demodulator packages the network data and forwards it to the control center through the network; After each sensing node has completed the acquisition of the pipeline information, the demodulator is used to control the power supply to be powered off, so that each sensing node enters a sleep state. At the same time, the demodulator accesses the NTP network time server through the network to correct the local clock, thereby putting the demodulator into a sleep state.

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