CN111879445A - Remote intelligent stress monitoring system based on alternating current electromagnetic field stress measurement method - Google Patents
Remote intelligent stress monitoring system based on alternating current electromagnetic field stress measurement method Download PDFInfo
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- CN111879445A CN111879445A CN202010686272.7A CN202010686272A CN111879445A CN 111879445 A CN111879445 A CN 111879445A CN 202010686272 A CN202010686272 A CN 202010686272A CN 111879445 A CN111879445 A CN 111879445A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/12—Measuring force or stress, in general by measuring variations in the magnetic properties of materials resulting from the application of stress
- G01L1/127—Measuring force or stress, in general by measuring variations in the magnetic properties of materials resulting from the application of stress by using inductive means
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Abstract
The invention discloses a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method, which comprises the following steps: the device comprises an ACSM excitation module, a first high-speed analog switch, an ACSM array probe, a second high-speed analog switch, a signal conditioning module, a data acquisition and processing module, an upper computer real-time monitoring module, a historical data query module and a remote wireless intelligent monitoring module. The stress state information of the component is remotely acquired and continuously monitored through the wireless intelligent terminal by combining the computer technology, the Internet of things communication technology and the alternating current electromagnetic field stress measurement technology, when the stress signal exceeds the threshold value and reaches the alarm index, remote host computers, short messages of mobile phones and telephone alarms can be realized, the problems of untimely monitoring of the stress state of the component, low measurement efficiency and reliability and the like in the actual engineering are solved, and the reliability and the intelligent degree of monitoring of the stress state are improved.
Description
Technical Field
The invention relates to the field of nondestructive stress state monitoring, in particular to a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method.
Background
Stress concentration widely exists in important bearing structures such as pipelines, pressure vessels, turbine disks, compressor blades, aircraft components and the like, the mechanical property, corrosion resistance and fatigue strength of the components in a stress concentration area are changed, and early damage such as cracks, stress corrosion and the like can occur, so that the method has important significance in monitoring the stress state of the ferromagnetic components in real time. The nondestructive measurement technology for measuring the stress of the ferromagnetic component comprises an X-ray diffraction method, an ultrasonic method, a magnetic memory method and a Barkhausen magnetic noise method, but the nondestructive measurement technology depends on manual periodic detection at present, so that the measurement is not timely, the phenomena of misjudgment, missed judgment and the like can occur, and the measurement efficiency and the reliability are low.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a remote intelligent Stress monitoring system based on an Alternating Current (AC) magnetic field Stress Measurement method (ACSM for short), which combines a computer technology, an Internet of things communication technology and an AC magnetic field Stress Measurement technology, remotely obtains Stress state information of a component through a wireless intelligent terminal and continuously monitors the Stress state information, can realize remote host computers, short messages of mobile phones and telephone alarm when a Stress signal exceeds a threshold value and reaches an alarm index, solves the problems of untimely monitoring of the Stress state of the component, low Measurement efficiency and reliability and the like in the actual engineering, and improves the reliability and the intelligent degree of Stress state monitoring.
In order to solve at least one of the above technical problems, the technical solution adopted by the present invention is:
a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method comprises an ACSM excitation module, a first high-speed analog switch, an ACSM array probe, a second high-speed analog switch, a signal conditioning module, a data acquisition and processing module, an upper computer real-time monitoring module, a historical data query module and a remote wireless intelligent monitoring module.
Further, the ACSM excitation module includes a DDS signal generator and a power amplifier, the DDS signal generator is configured to generate a sinusoidal signal, and the sinusoidal signal is subjected to voltage and current amplification by the power amplifier and then excites the ACSM array probe excitation coil.
Furthermore, the first high-speed analog switch is used for applying the sinusoidal signal to the exciting coil of the ACSM array probe in a time-sharing manner, and the first high-speed analog switch is a unidirectional isolating switch.
Furthermore, the ACSM array probe comprises an excitation coil, a U-shaped framework and a detection coil, the excitation coil which is communicated with the sinusoidal signal is wound on the U-shaped framework and used for generating a plane eddy current field on the surface of the workpiece, the U-shaped framework is used for enhancing the strength of the workpiece eddy current field, and the detection coil is used for picking up the surface stress information of the workpiece and sending the surface stress information to the signal conditioning module.
Furthermore, the second high-speed analog switch sends the stress signal of each detection coil to the signal conditioning module in a time-sharing manner, and the second high-speed analog switch is a one-way isolating switch.
Further, the signal conditioning module comprises a preamplifier and a lock-in amplifier, the preamplifier is used for carrying out primary amplification on the stress information including noise, which is collected by the detection coil, and the lock-in amplifier is used for extracting the stress information from the amplified signal and sending the stress information to the data acquisition and processing module.
Furthermore, the data acquisition and processing module carries out analog-to-digital conversion on the stress signal through the A/D acquisition module and then sends the stress signal into the real-time monitoring module of the upper computer for real-time monitoring.
Furthermore, the upper computer real-time monitoring module carries out upper computer monitoring picture configuration design through Proficy IFIX application software and is used for displaying field stress data in real time, and the historical data query module stores the data into an upper computer database in real time and can generate a printing report.
Furthermore, the remote wireless intelligent monitoring module remotely acquires stress state information of the component through a wireless intelligent terminal and continuously monitors the stress state information, automatic threshold alarming is achieved through a remote upper computer, a mobile phone short message and a telephone mode, and the wireless intelligent terminal supports a standard MODBUS protocol, a serial PPI protocol and other common controller interface protocols.
Further, the output end of the DDS signal generator is connected with the input end of the power amplifier, the output end of the power amplifier is connected with the input end of the first high-speed analog switch, the output end of the first high-speed analog switch is connected with each exciting coil of the ACSM array probe to sequentially excite each exciting coil of the ACSM array probe, each detecting coil of the ACSM array probe is connected with the input end of the second high-speed analog switch, the output end of the second high-speed analog switch is connected with the input end of the preamplifier to sequentially send the signals of each detecting coil to the preamplifier, the output end of the preamplifier is connected with the input end of the phase-locked amplifier, the output signal of the phase-locked amplifier is sent to an A/D acquisition module for analog-to-digital conversion, and the controller is used for signal processing and then sending the stress signal to an upper computer for real-time monitoring, the wireless intelligent terminal is connected with a serial communication module of the controller through a two-wire RS 485-RJ 45 communication line, stress state information of the component is remotely acquired and continuously monitored, and when the stress signal exceeds a threshold value and reaches an alarm index, automatic threshold value alarm is realized through the remote upper computer, the mobile phone short message and the telephone mode.
The beneficial effects of the invention at least comprise: according to the remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method, the computer technology, the internet of things communication technology and the alternating current electromagnetic field stress measurement technology are combined, the stress state information of the component is remotely acquired through the wireless intelligent terminal and is continuously monitored, when the stress signal exceeds a threshold value and reaches an alarm index, remote host computer, short message of a mobile phone and telephone alarm can be realized, the problems that the stress state of the component is not timely monitored in actual engineering, the measurement efficiency and the reliability are low and the like are solved, and the reliability and the intelligent degree of stress state monitoring are improved.
Drawings
Fig. 1 is a structural block diagram of a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method according to an embodiment of the invention.
Fig. 2 is a topological diagram of a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method according to an embodiment of the invention.
Fig. 3 is a schematic structural diagram of an ACSM array probe of the remote intelligent stress monitoring system according to the embodiment of the present invention.
Fig. 4 is a flow chart of a fault alarm of a remote intelligent stress monitoring system based on an ac electromagnetic field stress measurement method according to an embodiment of the present invention.
Fig. 5 is a flow chart of threshold value alarm of a remote intelligent stress monitoring system based on an ac electromagnetic field stress measurement method according to an embodiment of the present invention.
Fig. 6 is a schematic diagram of an RS485 communication pin connection provided in the embodiment of the present invention.
The system comprises an excitation module 1, a DDS signal generator 11, a power amplifier 12, a first high-speed analog switch 2, an ACSM array probe 3, a U-shaped ferrite 31, an excitation coil 32, a detection coil 33, a second high-speed analog switch 4, a signal conditioning module 5, a preamplifier 51, a lock-in amplifier 52, a data acquisition and processing module 6, an A/D acquisition module 61, a controller 62, an upper computer real-time monitoring module 7, an upper computer configuration picture 71, an HMI (human machine interface) real-time display 72, a historical data query module 8, a printing generation report 81, a history curve 82, a remote wireless intelligent monitoring module 9, a wireless intelligent terminal 91, a mobile phone short message and phone alarm 92.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to specific examples. The following examples are illustrative only and are not to be construed as limiting the invention. The examples, where specific techniques or conditions are not indicated, are to be construed according to the techniques or conditions described in the literature in the art or according to the product specifications.
Example (b): fig. 1 is a structural block diagram of a remote intelligent stress monitoring system based on an alternating current electromagnetic field stress measurement method, and fig. 2 is a system topology diagram of the remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method. As shown in fig. 1 and fig. 2, the remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method mainly includes: the system comprises an ACSM excitation module 1, a first high-speed analog switch 2, an ACSM array probe 3, a second high-speed analog switch 4, a signal conditioning module 5, a data acquisition and processing module 6, an upper computer real-time monitoring module 7, a historical data query module 8 and a remote wireless intelligent monitoring module 9.
The ACSM driver module 1 includes a DDS signal generator 11 and a power amplifier 12. The DDS signal generator 11 is used to generate a sinusoidal signal, which is voltage-current amplified by the power amplifier 12 and then excites the excitation coil 32 of the ACSM array probe 3. The first high-speed analog switch 2 is used for applying a sinusoidal signal with certain power to the exciting coil 32 of the ACSM array probe 3 in a time-sharing manner, and the first high-speed analog switch 2 is a one-way isolating switch. The second high-speed analog switch 4 sends the stress signal of each detection coil 33 of the array probe to the signal conditioning module 5 in a time-sharing manner, and the second high-speed analog switch 4 is a one-way isolating switch. The signal conditioning module 5 comprises a preamplifier 51 and a lock-in amplifier 52. The preamplifier 51 is used for performing primary amplification on the stress information including noise picked up by the detection coil, and the lock-in amplifier 52 is used for extracting the stress information from the amplified signal and sending the stress information to the data acquisition and processing module 6. Optionally, if the signal is weak, the signal may be sent to the secondary preamplifier before being sent to the data acquisition and processing module 6. The data acquisition processing module 6 carries out analog-to-digital conversion on the stress signal through the A/D acquisition module 61 and then sends the stress signal to the upper computer for real-time monitoring. And the upper computer real-time monitoring module 7 is used for carrying out upper computer monitoring picture configuration design through Proficy IFIX application software and displaying field stress data in real time. The historical data query module 8 stores the data in an upper computer database in real time and can generate a printing report. The remote wireless intelligent monitoring module 9 remotely acquires stress state information of the component through the wireless intelligent terminal 91 and continuously monitors the stress state information, and automatic threshold value alarming is realized through a remote upper computer, a mobile phone short message and a telephone mode. The wireless intelligent terminal supports a standard MODBUS protocol, a serial PPI protocol and other common controller interface protocols.
Fig. 3 is a schematic structural diagram of an ACSM array probe 3 of the remote intelligent stress monitoring system according to an embodiment of the present invention, where the ACSM array probe 3 includes an excitation coil 32, a U-shaped skeleton 31, and a detection coil 33. An exciting coil 32 with a sinusoidal signal is wound on the U-shaped framework 31 and used for generating a plane eddy current field on the surface of the workpiece, the U-shaped framework 31 is used for enhancing the strength of the workpiece eddy current field, and the detection coil 33 is used for picking up the surface stress information of the workpiece and sending the information to the signal conditioning module 5. The U-shaped framework 31 can be made of manganese zinc or electrician pure iron. The detection coil 33 may be rectangular or circular. The detection coil 33 is positioned at the right center below the U-shaped framework 31, and the central axis of the detection coil 33 is parallel to the axis of the excitation coil 32.
Fig. 4 is a flow chart of a fault alarm of the remote intelligent stress monitoring system based on the ac electromagnetic field stress measurement method according to an embodiment of the present invention, where the system monitors faults of sensors and devices during operation, and when important devices or measurement probes of the system have faults, the system quickly responds to ensure safe and stable operation of the system to the greatest extent.
Fig. 5 is a threshold alarm flow chart of the remote intelligent stress monitoring system based on the ac electromagnetic field stress measurement method according to an embodiment of the present invention, and when the measured data continuously exceeds the set alarm threshold and meets the alarm condition through m times of continuous sampling and m times of judgment, the remote PC terminal and the short message service telephone alarm will be performed through the wireless intelligent terminal 91.
A remote intelligent stress monitoring system based on an alternating current magnetic field stress measurement method is combined with a computer technology, an Internet of things communication technology and an alternating current magnetic field stress measurement technology, and is specifically designed and connected as follows:
the output end of the signal generator 11 is connected with the input end of the power amplifier 12, the output end of the power amplifier 12 is connected with the input end of the first high-speed analog switch 2, the output end of the first high-speed analog switch 2 is connected with each exciting coil 32 of the ACSM array probe 3, each exciting coil 32 of the ACSM array probe 3 is sequentially excited, each detection coil 33 of the ACSM array probe 3 is connected with the input end of the second high-speed analog switch 4, the output end of the second high-speed analog switch 4 is connected with the input end of the preamplifier 51, so that the signals of each detection coil 33 are sequentially sent to the preamplifier 51, the output end of the preamplifier 51 is connected with the input end of the phase-locked amplifier 52, the output signal of the phase-locked amplifier 52 is sent to the A/D acquisition module 61 for analog-to-digital conversion, the stress signal is sent to the upper computer 7 for, host computer 7 is connected through the net twine through ethernet and controller, communicates through the corresponding IP address of configuration, carries out remote monitoring with data transfer to host computer 7, and controller 62's serial ports communication module IC695ET001 changes RJ45 communication line through the RS485 of two-wire system and is connected with wireless intelligent terminal 91, adopts MODBUS RTU agreement, establishes the gateway through the ethernet, sets up the parameter, reads and writes MODBUS instruction through MODBUS RTU agreement, and RS485 communication pin connects the schematic diagram and is shown in FIG. 6.
In summary, the stress state information of the component is remotely acquired and continuously monitored through the wireless intelligent terminal by combining the computer technology, the internet of things communication technology and the alternating current electromagnetic field stress measurement technology, when the stress signal exceeds the threshold value and reaches the alarm index, remote host computers, short messages of mobile phones and telephone alarms can be realized, the problems of untimely monitoring of the stress state of the component, low measurement efficiency and reliability and the like in the actual engineering are solved, and the reliability and the intelligent degree of monitoring of the stress state are improved.
Although embodiments of the present invention have been shown and described, it is understood that the embodiments are illustrative and not restrictive, that various changes, modifications, substitutions and alterations may be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method is characterized by comprising an ACSM excitation module, a first high-speed analog switch, an ACSM array probe, a second high-speed analog switch, a signal conditioning module, a data acquisition and processing module, an upper computer real-time monitoring module, a historical data query module and a remote wireless intelligent monitoring module.
2. The system for remotely and intelligently monitoring stress based on the alternating current electromagnetic field stress measurement method according to claim 1, wherein the ACSM excitation module comprises a DDS signal generator and a power amplifier, the DDS signal generator is used for generating a sinusoidal signal, and the sinusoidal signal is subjected to voltage and current amplification by the power amplifier and then excites the ACSM array probe excitation coil.
3. The system for remotely and intelligently monitoring stress based on the alternating current electromagnetic field stress measurement method according to claim 2, wherein the first high-speed analog switch is used for applying the sinusoidal signal to the exciting coil of the ACSM array probe in a time-sharing manner, and the first high-speed analog switch is a one-way isolating switch.
4. The system of claim 3, wherein the ACSM array probe comprises an excitation coil, a U-shaped framework and a detection coil, the excitation coil with the sinusoidal signal is wound on the U-shaped framework to generate a planar eddy current field on the surface of the workpiece, the U-shaped framework is used for enhancing the strength of the workpiece eddy current field, and the detection coil is used for picking up the information of the stress on the surface of the workpiece and sending the information to the signal conditioning module.
5. The system according to claim 4, wherein the second high-speed analog switch sends the stress signal of each detection coil to the signal conditioning module in a time-sharing manner, and the second high-speed analog switch is a one-way isolator.
6. The system according to claim 5, wherein the signal conditioning module comprises a preamplifier and a lock-in amplifier, the preamplifier is used for performing first-order amplification on the stress information including noise picked up by the detection coil, and the lock-in amplifier is used for extracting the stress information from the amplified signal and sending the stress information to the data acquisition and processing module.
7. The system of claim 6, wherein the data acquisition and processing module performs analog-to-digital conversion on the stress signal through the A/D acquisition module and then sends the stress signal to the real-time monitoring module of the upper computer for real-time monitoring.
8. The remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method according to claim 7, wherein the upper computer real-time monitoring module performs upper computer monitoring picture configuration design through Proficy IFIX application software and is used for displaying field stress data in real time, and the historical data query module stores the data in an upper computer database in real time and can generate a printed report.
9. The system of claim 8, wherein the remote wireless intelligent monitoring module remotely obtains stress state information of the component through a wireless intelligent terminal and continuously monitors the stress state information, automatic threshold alarm is realized through a remote upper computer, a mobile phone short message and a telephone mode, and the wireless intelligent terminal supports a standard MODBUS protocol, a serial PPI protocol and other common controller interface protocols.
10. The remote intelligent stress monitoring system based on the alternating current electromagnetic field stress measurement method according to claim 9, wherein the output end of the DDS signal generator is connected to the input end of the power amplifier, the output end of the power amplifier is connected to the input end of the first high-speed analog switch, the output end of the first high-speed analog switch is connected to each excitation coil of the ACSM array probe, and sequentially excites each excitation coil of the ACSM array probe, each detection coil of the ACSM array probe is connected to the input end of the second high-speed analog switch, the output end of the second high-speed analog switch is connected to the input end of the preamplifier, so that the signal of each detection coil is sequentially sent to the preamplifier, and the output end of the preamplifier is connected to the input end of the phase-locked amplifier, the output signal of the phase-locked amplifier is sent to an A/D acquisition module for analog-to-digital conversion, the controller is used for carrying out signal processing and then sending the stress signal to an upper computer for real-time monitoring, the wireless intelligent terminal is connected with a serial communication module of the controller through a two-wire RS 485-to-RJ 45 communication line, the stress state information of the component is remotely acquired and continuously monitored, and when the stress signal exceeds a threshold value and reaches an alarm index, automatic threshold value alarm is realized through the remote upper computer, the mobile phone short message and the telephone mode.
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Cited By (1)
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| CN113670482A (en) * | 2021-08-19 | 2021-11-19 | 山东大学 | Nondestructive testing device and method for stress of inner wall of pipeline |
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