Pipeline multi-mode intelligent detection sensor and data processing method thereof

Abstract

The invention discloses a pipeline multi-mode intelligent detection sensor and a data processing method thereof, and relates to the technical field of pipeline detection. According to the technical scheme, the device is characterized in that the device comprises a machine shell, a three-axis Hall sensor, a multi-layer eddy current coil, a temperature sensor, a pressure sensor, a multi-mode data processing and transmission module and a voltage-stabilized source module are arranged in the machine shell, and a plurality of small permanent magnets are arranged on the periphery of the three-axis Hall sensor in the machine shell; the three-axis Hall sensor is used for detecting three-axis magnetic signals in the pipeline; the multiple layers of eddy current coils are used for detecting eddy current signals in the pipeline; the temperature sensor is used for detecting a temperature signal of a medium in the pipeline; and the pressure sensor is used for detecting a pressure signal in the pipeline. The invention aims to provide a pipeline multi-mode intelligent detection sensor and a data processing method thereof.

Description

Technical Field

[0001] The present invention relates to pipeline detection equipment, and more specifically, to a pipeline multi-modal intelligent detection sensor and its data processing method. Background Art

[0002] The magnetic flux leakage sensor for oil and gas pipelines integrates triaxial magnetic signals and eddy current signals. The triaxial magnetic signals in the magnetic flux leakage detection sensor need to rely on an external magnetic field during operation to magnetize the metal pipeline through the external magnetic field, and then detect the change of the magnetic signal. If it is necessary to detect the temperature of the medium inside the pipeline and the operating pressure of the pipeline, it is also necessary to carry independent temperature and pressure sensor modules.

[0003] In practical applications, two strong permanent magnets need to be installed at both ends of the magnetic flux leakage detection sensor to magnetize the metal pipeline. The magnetic flux leakage sensor can detect the magnetized metal pipeline. After the magnetic flux leakage detector installs the strong magnets, there is a magnetic force that attracts each other with the metal pipe wall. This magnetic force acts between the detector and the pipeline, which will increase the contact pressure between them. And due to the self-weight of the detection equipment, the friction between the detector and the pipeline is further increased. Therefore, the detector needs a sufficient large thrust to move inside the pipeline. However, after carrying the temperature sensor and pressure sensor modules, the weight of the detection equipment is further increased, so that in some oil and gas pipelines with low allowable pressure, the internal detector cannot be pushed to move.

[0004] Therefore, there is an urgent need for a new technical solution to solve the above technical problems. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a pipeline multi-modal intelligent detection sensor and its data processing method.

[0006] The above technical purpose of the present invention is achieved through the following technical solutions: A pipeline multi-modal intelligent detection sensor includes a housing, and a triaxial Hall sensor, a multi-layer eddy current coil, a temperature sensor, a pressure sensor, a multi-modal data processing and transmission module, and a voltage stabilization power supply module are arranged inside the housing. A plurality of small permanent magnets are arranged on the circumference of the triaxial Hall sensor inside the housing;

[0007] The triaxial Hall sensor is used to detect the triaxial magnetic signals inside the pipeline;

[0008] The multi-layer eddy current coil is used to detect the eddy current signals inside the pipeline;

[0009] The temperature sensor is used to detect the temperature signal of the medium inside the pipeline;

[0010] The pressure sensor is used to detect the pressure signal inside the pipeline.

[0011] The present invention is further configured such that: the multimodal data processing and transmission module includes a microprocessor, which combines and processes the three-axis magnetic signal, eddy current signal, temperature signal, and pressure signal and transmits them outward to realize the intelligence of digital signals.

[0012] The present invention is further configured such that: the regulated power supply module steps down the 5V DC voltage and supplies it to each sensor.

[0013] The present invention is further configured such that: the three-axis Hall sensor communicates with the data processing module through the ICC protocol.

[0014] The present invention is further configured such that: the eddy current signal sensor communicates with the data processing module through the SPI protocol.

[0015] The present invention is further configured such that: the temperature signal sensor communicates with the data processing module through the IIC protocol.

[0016] The present invention is further configured such that: the signal transmitted by the pressure sensor is an analog signal, which is converted into a digital signal by the analog-to-digital conversion module and communicates with the data processing module using the IIC protocol.

[0017] The present invention is further configured such that: the data processing module sends the sensor data outward through the IIC protocol. At this time, the data processing module acts as a slave, and the data sent includes the sensor data, and a frame header and frame tail with specific characters are added to facilitate the receiving end to process the data.

[0018] A data processing method for the data acquisition device of the pipeline multimodal intelligent detection sensor includes the following steps:

[0019] S1. The data of each direction component of the X-axis, Y-axis, and Z-axis of the three-axis magnetic flux leakage signal is 2 bytes, and the three direction components are 6 bytes, and are sent to the multimodal data processing and transmission module in the order of the X-axis, Y-axis, and Z-axis;

[0020] S2. The eddy current signal is a signal detected by a multi-layer coil sensor, and the data volume is 2 bytes;

[0021] S3. The temperature signal is a detection signal sent by the temperature sensor, and the data volume is 2 bytes;

[0022] S4. The pressure signal is a detection signal sent by the pressure sensor, and the data volume is 2 bytes;

[0023] S5. The multi-modal data processing and transmission module simultaneously receives triaxial magnetic signals, eddy current signals, temperature signals, and pressure signals, processes these signals in sequence. For convenient transmission, fixed data is provided at both ends of the sensor signals, that is, a complete frame of data consists of a frame header, a frame tail, and valid data. The transmission protocol uses IIC for easy storage or real-time display;

[0024] S6. After being processed by the multi-modal data processing and transmission module, the triaxial magnetic signals, eddy current signals, temperature signals, and pressure signals are sent out at a baud rate of 921,600. The receiving end can receive the data according to the corresponding transmission protocol and baud rate settings.

[0025] The present invention has the following beneficial effects: By directly embedding the optimized small magnet near the triaxial magnetic signal sensor, the magnetization of the near-surface of the pipeline is ensured. It can not only reduce the self-weight of the detector, but also reduce the magnetic force of attraction between the magnet and the pipe wall, and reduce the frictional resistance between the detector and the pipe wall, enabling the detector to operate normally in low-pressure oil and gas media. The triaxial magnetic signals, eddy current signals, temperature signals, and pressure signals are highly integrated into a multi-modal intelligent detection sensor, thus facilitating the detection operation. Description of the Drawings

[0026] Figure 1 is the overall structural schematic diagram of this embodiment;

[0027] Figure 2 is the overall schematic block diagram of the sensor of this embodiment;

[0028] Figure 3 is the sensor data receiving flowchart of this embodiment;

[0029] Figure 4 is the data transmission schematic diagram of this embodiment;

[0030] Figure 5 is the working flowchart of this embodiment.

[0031] Description of the Drawings: 1. Housing; 2. Triaxial Hall sensor; 3. Multilayer eddy current coil; 4. Temperature sensor; 5. Pressure sensor; 6. Multi-modal data processing and transmission module; 7. Small permanent magnet. Detailed Embodiment

[0032] The following further describes the present invention in detail with reference to the drawings.

[0033] Among them, the same parts are denoted by the same reference numerals. It should be noted that the terms "front", "rear", "left", "right", "upper", and "lower" used in the following description refer to the directions in the drawings, and the terms "bottom surface" and "top surface", "inner" and "outer" respectively refer to the directions towards or away from the geometric center of a specific component. Specific Embodiment 2:

[0035] As Figure 1 shown, a multi-modal intelligent detection sensor for pipelines includes a housing 1. Inside the housing 1, there are a three-axis Hall sensor 2, multi-layer eddy current coils 3, a temperature sensor 4, a pressure sensor 5, a multi-modal data processing and transmission module 6, and a regulated power supply module (not shown in the figure). A number of small permanent magnets 7 are arranged on the circumference of the three-axis Hall sensor 2 inside the housing 1;

[0036] The three-axis Hall sensor 2 is used to detect the three-axis magnetic signals inside the pipeline;

[0037] The multi-layer eddy current coils 3 are used to detect the eddy current signals inside the pipeline;

[0038] The temperature sensor 4 is used to detect the temperature signals of the medium inside the pipeline;

[0039] The pressure sensor 5 is used to detect the pressure signals inside the pipeline.

[0040] By directly embedding the optimized small magnets near the three-axis Hall sensor, it ensures the magnetization of the near-surface of the pipeline. This can not only reduce the self-weight of the detector, but also reduce the magnetic force of attraction between the magnet and the pipe wall, and reduce the frictional resistance between the detector and the pipe wall, enabling the detector to operate normally in low-pressure oil and gas media. The three-axis magnetic signals, eddy current signals, temperature signals, and pressure signals are highly integrated into a multi-modal intelligent detection sensor, thus facilitating the detection operation.

[0041] As Figure 2 shown, it is a schematic diagram of the overall architecture of the data processing of the multi-modal intelligent detection sensor. The multi-modal data processing and transmission module 6 includes a microprocessor, which combines and processes the three-axis magnetic signals, eddy current signals, temperature signals, and pressure signals and transmits them outward to achieve the intelligence of digital signals.

[0042] The regulated power supply module steps down the 5V DC voltage and supplies it to each sensor.

[0043] The three-axis Hall sensor 2 communicates with the data processing module through the ICC (Inter-Integrated Circuit, also known as I2C) protocol. The IIC protocol is efficient and stable and is a widely used communication protocol. In this design, the data processing module serves as the master device, and the three-axis magnetic signal sensor serves as the slave device. The magnetic signal data detected by the sensor is transmitted to the data processing module through the IIC protocol. The data processing module is responsible for receiving and processing this data. The sensor transmits the magnetic signal data to the data processing module in digital form through the IIC bus. After receiving the data, the data processing module will perform operations such as data filtering and error correction to extract useful information.

[0044] The eddy current signal sensor communicates with the data processing module through the SPI (Serial Peripheral Interface) protocol. The SPI protocol supports high-speed data transmission, which can meet the requirements of the eddy current signal sensor for data processing speed, and can improve the response speed and performance of the system. Before the communication starts, the data processing module, as the master device, needs to initialize the SPI interface and configure relevant parameters such as clock frequency, clock phase, and polarity. The eddy current signal sensor, as the slave device, is in the standby state, waiting for the chip select signal from the master device. After receiving the data returned by the eddy current signal sensor, the master device will perform corresponding processing and analysis, such as data conversion, filtering, and outlier rejection.

[0045] The temperature signal sensor communicates with the data processing module through the IIC protocol. The temperature sensor 4 is the slave, and the data processing module is the master. The communication process is the same as that of the three-axis magnetic signal.

[0046] The signal transmitted by the pressure sensor 5 is an analog signal, which is converted into a digital signal by the analog-to-digital conversion module and communicates with the data processing module using the IIC protocol.

[0047] The data processing module sends the sensor data outward through the IIC protocol. At this time, the data processing module is the slave, and the data sent includes the sensor data, and the frame header and frame tail of specific characters are added to facilitate the receiving end to process the data.

[0048] As Figure 3 shown, the data processing unit, as the data comprehensive processing center, is responsible for receiving the three-axis magnetic signal, eddy current signal, temperature signal, and pressure signal. The input three-axis magnetic signal data is represented by MFL_DATA, the input eddy current signal data is represented by ETND_DATA, the input temperature data is represented by TT_DATA, and the input pressure data is represented by PS_DATA; the data processing unit is divided into four independent modules, each module is responsible for receiving and processing one type of data. After all the data input by the four sensors are processed each time, they are uniformly cached in the on-chip RAM as valid data, and then sent outward after adding the frame header and frame tail data;

[0049] When processing the data of the three-axis magnetic signal sensor, the sensor will sequentially send the data of the X-axis, Y-axis, and Z-axis, extract the valid data and cache it. The receiving module is the MFL_RX_module, the control module is the MFL_CTR_module, and the valid data and the corresponding registers are RX_OVERDATA[7:0] and MFL_ADDR[7:0].

[0050] Process the eddy current signal sensor data. The microprocessor attached to the sensor sends the eddy current data, extracts the valid data and caches it. The receiving module is the ETND_RX_module, the control module is the ETND_CTR_module, and the valid data and the corresponding registers are RX_OVERDATA[7:0] and ETND_ADDR[7:0].

[0051] Process the temperature signal sensor data. The sensor sends the temperature data, extracts the valid data and caches it. The receiving module is the TT_RX_module, the control module is the TT_CTR_module, and the valid data and the corresponding registers are RX_OVERDATA[7:0] and TT_ADDR[7:0].

[0052] Process the pressure signal sensor data. The sensor sends analog pressure data, which is converted into digital pressure data after analog-to-digital conversion. Extract the valid data and cache it. The receiving module is the PS_RX_module, the control module is the PS_CTR_module, and the valid data and the corresponding registers are RX_OVERDATA[7:0] and PS_ADDR[7:0].

[0053] After the three-axis magnetic signal, eddy current signal, temperature signal, and pressure signal are sent to the data processing module, fixed data is added as the frame header and frame tail, and then sent out according to the set baud rate.

[0054] As Figure 4 shown, it is a schematic diagram of the data reception and transmission process of the multi-modal intelligent detection sensor. The three-axis magnetic signal, eddy current signal, temperature signal, and pressure signal send the data to the data processing unit according to the corresponding protocol. The data is received bit by bit. The valid data of each sensor is 16 bits, that is, 2 bytes. After receiving the data, it is first cached, and after all the data is received, it is sent out together with the frame header and frame tail through serial communication.

[0055] As Figure 5 shown, it is a working flow chart of the multi-modal intelligent detection sensor. After power-on and startup, there is a 1s delay setting. The purpose is to output the version information and then enter the working state to facilitate viewing the batch information of the sensor. According to the set sampling rate (taking 1KHz sampling as an example), timing is carried out, and sampling is carried out at intervals of 1ms. Although the three-axis magnetic signal, eddy current signal, temperature signal, and pressure signal are sent to the data processing module at the same time, when processing and storing the data, it is carried out in the order of first the three-axis magnetic signal data, then the eddy current signal data, and finally the temperature sensor 4. After one acquisition, it is cached, and after adding the frame header and frame tail data, it is sent out. At the same time, 1ms timing is entered to prepare for the next data transmission and processing until the multi-modal intelligent detection sensor is powered off and the system stops working. Specific Embodiment 2:

[0057] A data processing method for the data acquisition device of the above-mentioned pipeline multi-modal intelligent detection sensor, comprising the following steps:

[0058] S1. The data of each direction component of the X-axis, Y-axis, and Z-axis of the triaxial magnetic flux leakage signal is 2 bytes, and the three direction components are 6 bytes, and are sent to the multi-modal data processing and transmission module 6 in the order of the X-axis, Y-axis, and Z-axis;

[0059] S2. The eddy current signal is a signal detected by a multi-layer coil sensor, and the data volume is 2 bytes;

[0060] S3. The temperature signal is a detection signal sent by the temperature sensor 4, and the data volume is 2 bytes;

[0061] S4. The pressure signal is a detection signal sent by the pressure sensor 5, and the data volume is 2 bytes;

[0062] S5. The multi-modal data processing and transmission module 6 simultaneously receives the triaxial magnetic signal, eddy current signal, temperature signal, and pressure signal, and processes these signals in sequence. For convenient transmission, there are fixed data at both ends of the sensor signal, that is, a complete frame of data consists of a frame header, a frame tail, and valid data, and the transmission protocol uses IIC for convenient storage or real-time display;

[0063] S6. After being processed by the multi-modal data processing and transmission module 6, the triaxial magnetic signal, eddy current signal, temperature signal, and pressure signal are sent out at a baud rate of 921600, and the receiving end can receive the data according to the corresponding transmission protocol and baud rate setting.

[0064] The specific embodiments are only explanations of the present invention, and they do not limit the present invention. Those skilled in the art can make modifications without creative contributions to this embodiment after reading this specification, but as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A pipeline multi-modal intelligent detection sensor, characterized in that: The invention comprises a casing (1), wherein a three-axis Hall sensor (2), a multi-layer eddy current coil (3), a temperature sensor (4), a pressure sensor (5), a multi-modal data processing and transmission module (6) and a voltage-stabilized power supply module are arranged in the casing (1), and a plurality of small permanent magnets (7) are arranged around the three-axis Hall sensor (2) in the casing (1); The three-axis Hall sensor (2) is used to detect the three-axis magnetic signal in the pipeline; The multi-layer eddy current coil (3) is used to detect eddy current signals in the pipeline; The temperature sensor (4) is used to detect the temperature signal of the medium in the pipeline; The pressure sensor (5) is used to detect the pressure signal in the pipeline.

2. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The multi-modal data processing and transmission module (6) comprises a microprocessor, which realizes the intelligence of digital signals by combining and processing a three-axis magnetic signal, an eddy current signal, a temperature signal and a pressure signal and transmitting them externally.

3. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The voltage-stabilized power supply module steps down the 5V DC voltage and transmits it to each sensor.

4. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The three-axis Hall sensor (2) communicates with the data processing module via an ICC protocol.

5. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The eddy current signal sensor communicates with the data processing module via the SPI protocol.

6. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The temperature signal sensor communicates with the data processing module via the IIC protocol.

7. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The signal transmitted by the pressure sensor (5) is an analog signal, which is converted into a digital signal by an analog-to-digital conversion module to communicate with the data processing module using the IIC protocol.

8. The pipeline multi-modal intelligent detection sensor according to claim 1, characterized in that: The data processing module sends the sensor data outward through the IIC protocol. At this time, the data processing module acts as a slave. The sent data includes the sensor data, and a frame header and frame footer with specific characters are added to facilitate the receiving end to process the data.

9. A data processing method for the pipeline multi-modal intelligent detection sensor acquisition device according to claims 1-8, characterized in that: The steps include: S1, the data of each direction component of the three-axis leakage magnetic signal X-axis, Y-axis and Z-axis is 2 bytes, and the three direction components are 6 bytes, which are sent to the multi-modal data processing and transmission module (6) in the order of X-axis, Y-axis and Z-axis; S2, eddy current signal is a signal detected by a multi-layer coil sensor, the data volume is 2 bytes; S3, temperature signal is a detection signal sent by the temperature sensor (4), the data volume is 2 bytes; S4, pressure signal is a detection signal sent by the pressure sensor (5), the data volume is 2 bytes; S5, a multi-modal data processing and transmission module (6) simultaneously receives a triaxial magnetic signal, an eddy current signal, a temperature signal and a pressure signal, and processes these signals in a sequential order. For the convenience of transmission, the two ends of the sensor signal are fixed data, that is, a complete frame of data consists of a frame header, a frame footer and valid data. The transmission protocol uses IIC for easy storage or real-time display; S6. After the three-axis magnetic signal, eddy current signal, temperature signal and pressure signal are processed by the multi-modal data processing and transmission module (6), the data are sent out at a baud rate of 921600. The receiving end can receive the data according to the corresponding transmission protocol and baud rate settings.

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