CN110849972A - Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things - Google Patents
Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things Download PDFInfo
- Publication number
- CN110849972A CN110849972A CN201911181114.XA CN201911181114A CN110849972A CN 110849972 A CN110849972 A CN 110849972A CN 201911181114 A CN201911181114 A CN 201911181114A CN 110849972 A CN110849972 A CN 110849972A
- Authority
- CN
- China
- Prior art keywords
- pipeline
- ultrasonic
- box body
- internet
- things
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B17/00—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations
- G01B17/02—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations for measuring thickness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
- G01K7/02—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using thermoelectric elements, e.g. thermocouples
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
- G01K7/16—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements
- G01K7/18—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements the element being a linear resistance, e.g. platinum resistance thermometer
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Length Measuring Devices Characterised By Use Of Acoustic Means (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention discloses an ultrasonic monitoring system and method for corrosion conditions inside a pipeline based on the Internet of things. The system comprises a solar power supply and storage part, an outdoor ground upright post and a wireless workstation box part, wherein an ultrasonic thickness measurement host part and a plurality of monitoring points wirelessly form an Internet of things part, wherein the solar power supply and storage part comprises a polycrystalline silicon solar panel, a solar panel controller, a lead-acid battery and a DC/DC module; the outdoor ground upright stanchion and the wireless workstation box body part comprise a wireless workstation box body, a box body hoop bracket, a stainless steel hoop and a box body upright stanchion bracket; the ultrasonic thickness measuring host machine part comprises a thickness measuring main board sealing box, a multi-channel transmitting and receiving switching board, an ultrasonic thickness measuring main board, an ultrasonic probe, a probe clamp and a wireless communication module; the internet of things part formed by the plurality of monitoring points wirelessly comprises a wireless communication gateway. Therefore, the invention realizes real-time corrosion monitoring and provides scientific pipeline wear rate and service life assessment.
Description
Technical Field
The invention relates to a pipeline detection technology, in particular to an ultrasonic monitoring system and method for the corrosion condition in a pipeline based on the Internet of things.
Background
In use, corrosion damage is most prevalent. In particular, in the chemical industry, the corrosive nature of the medium is often accompanied by high temperature, high pressure, abrasion, etc., and corrosion damage to the pipeline is most likely to occur.
Corrosion is a phenomenon in which a metal is destroyed by chemically, electrochemically or physically reacting with the surrounding medium to form a metal compound. Corrosion of pipelines is due to damage caused by chemical or electrochemical (including mechanical, etc.) action of the internal transport materials and the external environment medium.
At present, China already has main pipelines for long-distance gas and oil transportation about 13 kilometers, more than 600 fine chemical industries and 122 oil refineries, and the chemical enterprises have various pipelines and 294 underground pipelines in the grade city. The corrosion of the inner wall of the pipeline occurs slowly during the transportation of the material, and the corrosion which is not seen from the outer surface of the pipeline at all is one of the important reasons for the failure of the pipeline. Pipeline downtime of about 1/4 to 2/3 is caused by corrosion, which is suffering from hundreds of millions of economic losses worldwide in order to repair the corrosion of these pipelines. A large amount of capital is invested each year to detect and control various types of corrosion of pipelines to maintain the integrity of the pipelines. However, predicting, monitoring and addressing corrosion of pipes is not an easy task.
In order to solve the problems in the prior art, the invention provides an ultrasonic monitoring system and method for the corrosion condition in a pipeline based on the Internet of things. Real-time corrosion monitoring is realized, and scientific pipeline wear rate and service life assessment is given.
Disclosure of Invention
The invention aims to solve the problem that the corrosion of the pipeline cannot be monitored in the prior art. The invention provides an ultrasonic monitoring system and method for corrosion conditions in a pipeline based on the Internet of things. According to the actual use condition of the pipeline in China, a leading real-time corrosion monitoring system with high cost performance in the industry is provided, the system can acquire thickness data of a part, which is easy to wear, of the pipeline in real time every day, and through the acquired large thickness data of the pipeline, the invention uses an artificial intelligent software technology to process the data, and provides scientific pipeline wear rate and service life assessment. Therefore, the invention can solve the problems of instant communication and inaccurate monitoring of pipeline corrosion, so that the pipeline corrosion can be monitored on line in real time.
In order to solve the technical problems, the invention provides an ultrasonic monitoring system and method for the corrosion condition inside a pipeline based on the internet of things in a first aspect, wherein the system comprises:
the solar power supply and storage part, the outdoor ground upright post and the wireless workstation box body part, the ultrasonic thickness measuring host part and a plurality of monitoring points wirelessly form the Internet of things part, wherein,
the solar power supply and storage part comprises a polycrystalline silicon solar panel, a solar panel controller, a lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise a wireless workstation box body, a box body hoop bracket, a stainless steel hoop and a box body upright stanchion bracket;
the ultrasonic thickness measuring host machine part comprises a thickness measuring main board sealing box, a multi-channel transceiving switching board, an ultrasonic thickness measuring main board, an ultrasonic probe, a probe clamp, a pipeline temperature measuring module and a wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises a wireless communication gateway;
wherein the content of the first and second substances,
the power range of the polycrystalline silicon solar panel is 10W-70W, and the voltage is 18V;
the voltage of the solar panel controller is set to be 12V/24V, the voltage is automatically identified to be adaptable voltage, and the current is 3A;
the wireless workstation box body is made of galvanized steel or stainless steel, and has the size of 300mm x 400mm x 170 mm;
the hoop support of the box body is a 300mm cross bar;
the telescopic range of the stainless steel hoop is 20-120 mm;
the length of the box body upright rod support is 3m, the wall thickness is 2mm, the box body upright rod support comprises an upper rod and a lower rod, the length of the upper rod is 1.5m, and the length of the lower rod is 1.5 m;
the size of the sealed box for the thickness measuring main board is 200mm x 155mm x 80 mm;
the number range of the channels of the multichannel transceiving switching board is 1-2048, the channels can be combined randomly, and the transceiving switching switch of the multichannel transceiving switching board is an analog switch chip, a discrete transistor switch or a relay;
the ultrasonic thickness measuring main board is of an industrial grade;
the frequency range of the ultrasonic probe is 0.2MHz-20MHz, the sensor type of the ultrasonic probe is a piezoelectric ultrasonic sensor or an electromagnetic ultrasonic sensor, the piezoelectric ultrasonic sensor is a single wafer or a double wafer, the diameter range of the wafer is 3mm-30mm, and the electromagnetic ultrasonic sensor is made of a permanent magnet or an electromagnet and a coil;
the probe clamp is an ABS, nylon or metal shell, and the binding belt is fastened;
the sensor of the pipeline temperature measuring module is a thermocouple, a platinum resistor or a temperature measuring chip
The wireless communication module is a serial port;
the wireless communication gateway is Ethernet, 4G or 5G.
Optionally, the wireless communication module is set to LoRa, NB-IoT, WiFi, ZigBee or BLE.
Optionally, the wireless communication gateway is configured to have access to data of all monitoring points within a range of 1-15 km, and the wireless communication gateway is configured to be linked to a local cloud, a private cloud or a public cloud.
Optionally, the solar power supply and storage part comprises 1 polycrystalline silicon solar panel, 1 solar panel controller, 1 lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise 1 wireless workstation box body, 2 box body hoop brackets, 2 stainless steel hoops and 1 box body upright stanchion bracket;
the ultrasonic thickness measurement host part comprises 1 thickness measurement mainboard sealing box, 1 multichannel receiving and transmitting switching board, 1 ultrasonic thickness measurement mainboard, 1-2048 ultrasonic probes, 1-2048 probe clamps, 1 pipeline temperature measurement module and 1 wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises the number of wireless communication gateways related to the design and planning of the Internet of things.
Optionally, the ultrasonic probe comprises ultrasonic sensors embedded in probe clamps to form a sensor array, the number of the probe clamps and the number of the ultrasonic sensors are related to the diameter of the pipeline, and the diameter of the probe clamps and the diameter and frequency of the ultrasonic sensors are related to the material and thickness of the pipeline.
In order to solve the technical problem, a second aspect of the present invention provides an internet of things-based real-time online ultrasonic monitoring method for monitoring corrosion conditions inside a pipeline, where the method is performed by an internet of things-based real-time online ultrasonic monitoring system for monitoring corrosion conditions inside a pipeline, and the method includes:
according to the shape characteristics of the corrosion monitoring object, the ultrasonic sensor array is arranged in a cylindrical coordinate mode, a spherical coordinate mode and a rectangular coordinate mode.
Optionally, the corrosion monitoring of the pipeline is arranged in a cylindrical coordinate manner.
Optionally, the method further comprises performing real-time data acquisition on the thickness of the pipeline, and automatically storing the thickness data in a database through a network;
based on the big data in the database, the engineering technicians calculate the wear rate of the pipeline and give an assessment of the service life of the pipeline.
Optionally, the temperature correction is performed automatically after performing data acquisition on the pipe thickness.
Optionally, the engineer performing the pipe wear rate calculation further comprises providing a life assessment of the pipe based on the pipe wear rate and the pipe residual thickness calculation.
By the above system or method, a plurality of ultrasonic sensor arrays are provided to be non-destructively clamped on a pipe using a clamp, measuring thickness variations of the pipe in real time. For high-temperature or low-temperature pipelines, the system is provided with a temperature sensor to measure the temperature of the pipeline in real time, and the thickness measurement and the temperature compensation are integrated into the same software interface, so that the corrosion monitoring with automatic temperature compensation can be carried out in real time. Therefore, the ultrasonic sensor technology is very suitable for real-time corrosion monitoring application, and the steel pipe, the stainless steel pipe or the PVC pipe can be used for measurement no matter the material of the pipeline.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
Fig. 1 is a schematic diagram illustrating an ultrasonic monitoring system and method for corrosion conditions inside a pipeline based on the internet of things according to an embodiment of the invention.
FIG. 2 is a schematic diagram of a sensor array placement on a pipe according to an embodiment of the present invention.
Fig. 3 is a network flow diagram illustrating an ultrasonic monitoring system and method for corrosion conditions inside a pipeline based on the internet of things according to an embodiment of the invention.
FIG. 4 is a schematic diagram of an Internet of things architecture of a real-time corrosion monitoring system according to an embodiment of the invention.
FIG. 5 is a graph of wear rate evaluation calculations for the same pipe based on big data according to an embodiment of the present invention.
FIG. 6 is a graph comparing wear rate evaluation calculations for different pipelines based on big data according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
Fig. 1 is a schematic diagram illustrating an ultrasonic monitoring system and method for corrosion conditions inside a pipeline based on the internet of things according to an embodiment of the invention.
The system comprises:
the solar power supply and storage part, the outdoor ground upright post and the wireless workstation box body part, the ultrasonic thickness measuring host part and a plurality of monitoring points wirelessly form the Internet of things part, wherein,
the solar power supply and storage part comprises a polycrystalline silicon solar panel, a solar panel controller, a lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise a wireless workstation box body, a box body hoop bracket, a stainless steel hoop and a box body upright stanchion bracket;
the ultrasonic thickness measuring host machine part comprises a thickness measuring main board sealing box, a multi-channel transceiving switching board, an ultrasonic thickness measuring main board, an ultrasonic probe, a probe clamp, a pipeline temperature measuring module and a wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises a wireless communication gateway;
wherein the content of the first and second substances,
the power range of the polycrystalline silicon solar panel is 10W-70W, and the voltage is 18V;
the voltage of the solar panel controller is set to be 12V/24V, the voltage is automatically identified to be adaptable voltage, and the current is 3A;
the wireless workstation box body is made of galvanized steel or stainless steel, and has the size of 300mm x 400mm x 170 mm;
the hoop support of the box body is a 300mm cross bar;
the telescopic range of the stainless steel hoop is 20-120 mm;
the length of the box body upright rod support is 3m, the wall thickness is 2mm, the box body upright rod support comprises an upper rod and a lower rod, the length of the upper rod is 1.5m, and the length of the lower rod is 1.5 m;
the size of the sealed box for the thickness measuring main board is 200mm x 155mm x 80 mm;
the number range of the channels of the multichannel transceiving switching board is 1-2048, the channels can be combined randomly, and the transceiving switching switch of the multichannel transceiving switching board is an analog switch chip, a discrete transistor switch or a relay;
the ultrasonic thickness measuring main board is of an industrial grade;
the frequency range of the ultrasonic probe is 0.2MHz-20MHz, the sensor type of the ultrasonic probe is a piezoelectric ultrasonic sensor or an electromagnetic ultrasonic sensor, the piezoelectric ultrasonic sensor is a single wafer or a double wafer, the diameter range of the wafer is 3mm-30mm, and the electromagnetic ultrasonic sensor is made of a permanent magnet or an electromagnet and a coil;
the probe clamp is an ABS, nylon or metal shell, and the binding belt is fastened;
the sensor of the pipeline temperature measuring module is a thermocouple, a platinum resistor or a temperature measuring chip;
the wireless communication module is a serial port;
the wireless communication gateway is Ethernet, 4G or 5G.
Optionally, the wireless communication module is set to LoRa, NB-IoT, WiFi, ZigBee or BLE.
Optionally, the wireless communication gateway is configured to have access to data of all monitoring points within a range of 1-15 km, and the wireless communication gateway is configured to be linked to a local cloud, a private cloud or a public cloud.
Optionally, the solar power supply and storage part comprises 1 polycrystalline silicon solar panel, 1 solar panel controller, 1 lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise 1 wireless workstation box body, 2 box body hoop brackets, 2 stainless steel hoops and 1 box body upright stanchion bracket;
the ultrasonic thickness measurement host part comprises 1 thickness measurement mainboard sealing box, 1 multichannel receiving and transmitting switching board, 1 ultrasonic thickness measurement mainboard, 1-2048 ultrasonic probes, 1-2048 probe clamps, 1 pipeline temperature measurement module and 1 wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises the number of wireless communication gateways related to the design and planning of the Internet of things.
Optionally, the ultrasonic probe comprises ultrasonic sensors embedded in probe clamps to form a sensor array, the number of the probe clamps and the number of the ultrasonic sensors are related to the diameter of the pipeline, and the diameter of the probe clamps and the diameter and frequency of the ultrasonic sensors are related to the material and thickness of the pipeline. Multiple ultrasonic transducers require a special fixture to be clamped to the outer surface of the pipe to be monitored.
The detection system can realize quick and simple clamping and installation without glue and welding, and can be moved and dismantled. The pipeline corrosion monitoring system collects the data of the thickness of the pipeline in real time every day, and a large amount of thickness data are automatically stored in a database through a network. Based on these big data, engineers can accurately perform pipe wear rate (mm/1000 hours) calculations, giving an estimate of the life of the pipe. And the wear rate of the pipeline can be well understood by engineering technicians, and the optimization of the pipeline design and the pipeline material selection can be helped by the engineering technicians.
FIG. 2 is a schematic diagram of a sensor array placement on a pipe according to an embodiment of the present invention. As shown in fig. 2, a piezoelectric bimorph probe is taken as an example, and the probes of the ultrasonic sensor are arranged in an array on the outer periphery of the pipe to form a sensor array.
The ultrasonic sensor array clamp of the system has the following technical requirements: ultrasonic sensor interface protection level: IP 68. Ultrasonic sensor cable length: up to 10 meters (distance between sensor fixture and UT motherboard), multi-core shielded cable. Ultrasonic sensor coupling mode: oil coupling (piezoelectric ultrasonic probe) or dry coupling (electromagnetic ultrasonic probe). The height of the clamp is determined according to the pipe diameter. The width of the clamp is determined according to the pipe diameter. The clamp material can be non-metal material, such as nylon, ABS and the like, or metal material, and the cable ties are fastened. The sensor is installed on the clamp, a coupling agent is filled in a gap cavity between the sensor and the pipeline in the clamp, and the stainless steel wire rope and the spring fix the circle of clamp on the pipeline.
In particular, on a pipeline, the ultrasonic sensor can be in 4 installation forms: the installation form of the straight pipe, the installation form of the multi-way pipe (three-way pipe and above), the installation form of the reducer pipe and the installation form of the bent pipe (R pipe).
Ultrasonic sensors are an important component of monitoring systems. The ultrasonic sensor array of the system of the invention has the following technical requirements: an ultrasonic sensor array: the ultrasonic probes are embedded in the circumferential direction at equal angles. The types of ultrasonic sensors may be the following two types: 1) piezoelectric ultrasonic sensors, which can be single-wafer and dual-wafer, frequency range: 0.2MHz to 20 Mhz. And (5) measuring at normal temperature. 2) The electromagnetic ultrasonic sensor is made of a permanent magnet or an electromagnet and a coil. And (4) high-temperature measurement. The temperature sensor may be a thermocouple or a platinum resistor, or a chip temperature sensor may be used. The temperature sensor is used for correcting the expansion and contraction change of the material and the sound velocity change of the material. And the ID chip is a node number unique in a complex network. Industrial scale temperature range: minus 40 ℃ to plus 85 ℃.
The system of the invention may also be provided as a workstation. Particularly, the on-site wireless workstation is internally provided with an ultrasonic transmitting and receiving mainboard, a multi-channel ultrasonic sensor switching module and a wireless communication module of networking of the Internet of things, and a plurality of ultrasonic sensors (the number of the sensors is determined by the pipe diameter of a measured pipeline) are externally connected and arranged on a pipeline through cables. Workstation type numbers can be of two types: the model is arranged on the vertical rod, and the corrosion monitoring of the underground pipeline is generally matched; and the type installed on the pipe, such as is commonly used in conjunction with corrosion monitoring of surface pipelines. The workstation power supply supplies power to a 12VDC lead-acid battery and an 18VDC polysilicon solar panel.
Particularly, when the weather is irradiated by sufficient sunlight, the solar panel is automatically switched to work, the lead-acid battery is charged, and the lead-acid battery is automatically switched to supply power in the weather without sunlight. The power supply can be charged while operating.
Manufacturing materials of the work station box body: galvanized steel or stainless steel, IP65 outdoor rain-proof dustproof. The local communication interface of the workstation adopts wired communication locally. The interface can be RS232 (maximum cable length 8 m) or RS485 (maximum cable length 1000 m).
Fig. 3 is a network flow diagram illustrating an ultrasonic monitoring system and method for corrosion conditions inside a pipeline based on the internet of things according to an embodiment of the invention. As shown in FIG. 3, a single measurement node measures the corrosion of a pipe at a certain location, and when a large number of such nodes are combined to form a network, the measurement network of the system is formed. The wireless sensor comprises an ultrasonic sensor at a certain position of a pipeline, a field wireless workstation is connected to an Internet of things gateway through an Internet of things wireless module, a lot of node information is transmitted to a local data center or a cloud database, subsequent big data processing is facilitated, and the wear rate and the service life of the pipeline are obtained.
An internet-of-things-based real-time online ultrasonic monitoring method for the corrosion condition inside a pipeline, which is executed by an internet-of-things-based real-time online ultrasonic monitoring system for the corrosion condition inside the pipeline, comprises the following steps:
according to the shape characteristics of the corrosion monitoring object, the ultrasonic sensor array is arranged in a cylindrical coordinate mode, a spherical coordinate mode and a rectangular coordinate mode.
Optionally, the corrosion monitoring of the pipeline is arranged in a cylindrical coordinate manner.
Optionally, the method further comprises performing real-time data acquisition on the thickness of the pipeline, and automatically storing the thickness data in a database through a network;
based on the big data in the database, the engineering technicians calculate the wear rate of the pipeline and give an assessment of the service life of the pipeline.
Optionally, the temperature correction is performed automatically after performing data acquisition on the pipe thickness.
Optionally, the engineer performing the pipe wear rate calculation further comprises providing a life assessment of the pipe based on the pipe wear rate and the pipe residual thickness calculation.
The networking method of the wireless workstation Internet of things of all monitoring points on site comprises the following steps:
networking of the internet of things can be performed by adopting various wireless communication modules. The wireless communication modules that can be used at present have:
1) low-power consumption wide area thing networking wireless communication module LoRa (open visible distance 15 kilometers in suburb, urban environment visible distance 2 kilometers). It is recommended to use such a modular networking.
2) The wireless communication module NB-IoT of the low-power wide area Internet of things. It is recommended to use such a modular networking.
3) ZigBee (spacious zone 1500 meters)
4)WiFi
5)BLE
At present, the LoRa module or the NB-IoT module is preferentially used for monitoring the Internet of things in real time according to the internal corrosion condition of the wireless group pipeline. The workstation can be provided with a module: a GPS or Beidou positioning module or a local data recorder.
Practical application experience of the wireless monitoring node:
the wireless local area network of the monitoring node adopts a LoRa, NB-IoT, WiFi, ZigBee or BLE (Bluetooth) wireless module to carry out networking.
Each wireless local area network gateway can be networked with a plurality of workstations (an ultrasonic receiving and transmitting host, a multi-channel sensor switching module, a battery and a wireless communication module are arranged in the wireless local area network gateway).
Each wlan gateway can finally be bridged with 2G/4G/5G communication or ethernet communication, linking to a local, private or public cloud.
Each field wireless workstation time-divisionally drives up to 2048 channels of ultrasonic sensors.
Is commonly used for monitoring pipelines with various pipe diameters.
And each workstation adopts a lead-acid battery and a solar panel which are intelligently switched to supply power.
FIG. 4 is a schematic diagram of an Internet of things architecture of a real-time corrosion monitoring system according to an embodiment of the invention. China has perfect 2G and 4G networks, and the 5G network can be popularized quickly, so that a good basis of the Internet of things + is provided for a real-time corrosion monitoring system, and particularly, the future 5G network is more suitable for the Internet of things +, and the interconnection of everything can be realized. The network architecture of the current real-time corrosion monitoring system is very reliable and mature. The network architecture of the real-time corrosion monitoring system comprises a local wireless network, a plurality of monitoring points, a local wireless gateway, a local link, a local center machine room/database/server/terminal and a control console, an enterprise cloud center machine room, a cloud server, a cloud database, a cloud link, a mobile communication base station, a 2G/3G/4G/5G mobile communication network and an Ethernet.
FIG. 5 is a graph of wear rate evaluation calculations for the same pipe based on big data according to an embodiment of the present invention. It can be seen that the data obtained by adopting the system and the method of the invention to detect the pipeline is accurate. The wear rate of the last 2000 hours was measured, the bottom and upper parts of the transfer pipe were heavily worn, and the profile of the wear rate was symmetrical along the 6 o' clock axis.
FIG. 6 is a graph comparing wear rate evaluation calculations for different pipelines based on big data according to an embodiment of the present invention. It can be seen that the data obtained by adopting the system and the method of the invention to detect the pipeline is accurate. The pipelines of different materials and sizes have different wear rate profiles, and the field detection data can be used for optimizing the design of the liquid cargo conveying pipeline.
Compared with the prior art, the invention has the following improved technical points:
the multi-channel ultrasonic sensor is non-destructively clamped on the pipeline by using a special clamp, and the thickness change of the pipeline is measured in real time. The system is a real-time pipeline corrosion monitoring system based on the Internet of things +, and can measure the thickness of a pipeline in real time; automatic temperature correction is carried out, and the influence of pipeline media and weather temperature on the pipeline is eliminated; different pipe materials had no effect on the measurements.
According to the method, intelligent software analysis processing is carried out according to the acquired large data of the thickness of the pipeline, the wear rate of the pipeline is given, the estimated service life of the pipeline is given according to the residual thickness and the wear rate of the pipeline, and the wear rate and the estimated service life of the pipeline are given by an intelligent pipeline service life estimation system based on the large data and large data AI analysis processing of the thickness of the pipeline.
Compared with the prior art, the invention has the following beneficial effects:
the installation is easy, no damage is caused to the pipeline, and the thickness measurement precision is high; reliable online real-time corrosion rate calculation and evaluation are carried out, and the service life of the in-service pipeline is estimated; carrying out failure analysis, and tracing the reasons of pipeline corrosion leakage accidents; effective preservative measures were selected and the results can be evaluated. The effectiveness of the chemical corrosion inhibitor is fed back on-line. The pipeline material suitable for the actual use environment can be selected, and the service life of the pipeline is prolonged; researching corrosion rules and mechanisms and researching and developing novel corrosion-resistant materials; and the transmission pipeline without the pipeline pig is monitored, so that the use frequency of the pipeline pig is reduced.
Claims (10)
1. Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things, the system includes:
the solar power supply and storage part, the outdoor ground upright post and the wireless workstation box body part, the ultrasonic thickness measuring host part and a plurality of monitoring points wirelessly form the Internet of things part, wherein,
the solar power supply and storage part comprises a polycrystalline silicon solar panel, a solar panel controller, a lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise a wireless workstation box body, a box body hoop bracket, a stainless steel hoop and a box body upright stanchion bracket;
the ultrasonic thickness measuring host machine part comprises a thickness measuring main board sealing box, a multi-channel transceiving switching board, an ultrasonic thickness measuring main board, an ultrasonic probe, a probe clamp, a pipeline temperature measuring module and a wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises a wireless communication gateway;
wherein the content of the first and second substances,
the power range of the polycrystalline silicon solar panel is 10W-70W, and the voltage is 18V;
the voltage of the solar panel controller is set to be 12V/24V, the voltage is automatically identified to be adaptable voltage, and the current is 3A;
the wireless workstation box body is made of galvanized steel or stainless steel, and has the size of 300mm x 400mm x 170 mm;
the hoop support of the box body is a 300mm cross bar;
the telescopic range of the stainless steel hoop is 20-120 mm;
the length of the box body upright rod support is 3m, the wall thickness is 2mm, the box body upright rod support comprises an upper rod and a lower rod, the length of the upper rod is 1.5m, and the length of the lower rod is 1.5 m;
the size of the sealed box for the thickness measuring main board is 200mm x 155mm x 80 mm;
the number range of the channels of the multichannel transceiving switching board is 1-2048, the channels can be combined randomly, and the transceiving switching switch of the multichannel transceiving switching board is an analog switch chip, a discrete transistor switch or a relay;
the ultrasonic thickness measuring main board is of an industrial grade;
the frequency range of the ultrasonic probe is 0.2MHz-20MHz, the sensor type of the ultrasonic probe is a piezoelectric ultrasonic sensor or an electromagnetic ultrasonic sensor, the piezoelectric ultrasonic sensor is a single wafer or a double wafer, the diameter range of the wafer is 3mm-30mm, and the electromagnetic ultrasonic sensor is made of a permanent magnet or an electromagnet and a coil;
the probe clamp is an ABS, nylon or metal shell, and the binding belt is fastened;
the sensor of the pipeline temperature measuring module is a thermocouple, a platinum resistor or a temperature measuring chip;
the wireless communication module is a serial port;
the wireless communication gateway is Ethernet, 4G or 5G.
2. The system of claim 1, wherein:
the wireless communication module is set to LoRa, NB-IoT, WiFi, ZigBee or BLE.
3. The system of claim 1, wherein:
the wireless communication gateway is set to be capable of accessing data of all monitoring points within the range of 1-15 kilometers, and the wireless communication gateway is set to be linked to local, private cloud or public cloud.
4. The system of claim 1, wherein:
the solar power supply and storage part comprises 1 polycrystalline silicon solar panel, 1 solar panel controller, 1 lead-acid battery and a DC/DC module;
the outdoor ground upright stanchion and the wireless workstation box body part comprise 1 wireless workstation box body, 2 box body hoop brackets, 2 stainless steel hoops and 1 box body upright stanchion bracket;
the ultrasonic thickness measuring host part comprises 1 thickness measuring mainboard sealing box, 1 multichannel receiving and transmitting switching board, 1 ultrasonic thickness measuring mainboard, 1-2048 ultrasonic probes, 1-2048 probe clamps and 1 wireless communication module;
the Internet of things part consisting of the plurality of monitoring points wirelessly comprises the number of wireless communication gateways related to the design and planning of the Internet of things.
5. The system according to any one of claims 1-4, wherein:
ultrasonic probe includes ultrasonic sensor, inlays form sensor array in the probe anchor clamps, the quantity of probe anchor clamps with ultrasonic sensor's quantity is related with the pipeline diameter, the diameter of probe anchor clamps with ultrasonic sensor's diameter and frequency are related with pipeline material and thickness.
6. An ultrasonic real-time online monitoring method for corrosion conditions inside pipelines based on the Internet of things, which is executed by the system of claim 5 and comprises the following steps:
according to the shape characteristics of the corrosion monitoring object, the ultrasonic sensor array is arranged in a cylindrical coordinate mode, a spherical coordinate mode and a rectangular coordinate mode.
7. The method of claim 6, wherein:
and (4) monitoring the corrosion of the pipeline by adopting a cylindrical coordinate mode.
8. The method of claim 6, wherein:
the method also comprises the steps of carrying out real-time data acquisition on the thickness of the pipeline, and automatically storing the thickness data into a database through a network;
based on the big data in the database, the engineering technicians calculate the wear rate of the pipeline and give an assessment of the service life of the pipeline.
9. The method of claim 8, wherein:
after data acquisition is performed on the pipe thickness, temperature correction is automatically performed.
10. The method of claim 8, wherein:
the calculation of the wear rate of the pipeline by the engineering technician further comprises the step of calculating according to the wear rate of the pipeline and the residual thickness of the pipeline to give the service life evaluation of the pipeline.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911181114.XA CN110849972A (en) | 2019-11-27 | 2019-11-27 | Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911181114.XA CN110849972A (en) | 2019-11-27 | 2019-11-27 | Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110849972A true CN110849972A (en) | 2020-02-28 |
Family
ID=69605199
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911181114.XA Pending CN110849972A (en) | 2019-11-27 | 2019-11-27 | Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110849972A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397552A (en) * | 2020-03-19 | 2020-07-10 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN111720757A (en) * | 2020-06-04 | 2020-09-29 | 陈征 | Intelligent pipe and intelligent pipe network |
| RU200085U1 (en) * | 2020-07-03 | 2020-10-05 | Общество с ограниченной ответственностью "МИРРИКО" | CORROSION TRANSMISSION DEVICE |
| CN114263856A (en) * | 2021-12-27 | 2022-04-01 | 中国石油大学(北京) | Corrosion monitoring system and method based on two-dimensional flexible area array piezoelectric ultrasound |
| CN118013445A (en) * | 2024-04-08 | 2024-05-10 | 宁波市特种设备检验研究院 | Ultrasonic thickness measurement data cloud management system |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5557970A (en) * | 1994-01-10 | 1996-09-24 | The United States Of America As Represented By The Secretary Of The Army | Automated thickness measurement system |
| US20090037146A1 (en) * | 2005-11-14 | 2009-02-05 | Trowbridge Jr Jack I | System and methods for testing, monitoring, and replacing equipment |
| CN202472867U (en) * | 2012-03-15 | 2012-10-03 | 招商局重庆交通科研设计院有限公司 | Wireless automatic monitoring system for engineering operation and safety state image |
| CN103867901A (en) * | 2012-12-18 | 2014-06-18 | 上海宝钢工业技术服务有限公司 | Method for detecting and evaluating gas pipeline wall thickness reduction |
| CN204373624U (en) * | 2014-12-22 | 2015-06-03 | 中国石油天然气股份有限公司 | Corrosion on-line monitoring system based on wireless multi-channel ultrasonic sensor network |
| CN205384002U (en) * | 2016-02-16 | 2016-07-13 | 长沙天卓塑胶有限公司 | Pipeline wall thickness ultrasonic measurement device |
| CN106959298A (en) * | 2017-04-26 | 2017-07-18 | 大连理工大学 | Hydraulic structure concrete crack real time on-line monitoring system based on machine vision |
| CN207648473U (en) * | 2017-11-06 | 2018-07-24 | 洋浦海科石化工程检测有限公司 | A kind of electromagnetic acoustic corrosive pipeline long-distance wireless monitoring device |
| CN207882721U (en) * | 2018-02-26 | 2018-09-18 | 深圳市诚之杰五金制品有限公司 | A kind of outdoor cabinet safety monitoring holder |
| CN208109265U (en) * | 2018-05-15 | 2018-11-16 | 国网河南省电力公司检修公司 | A kind of extra-high voltage transformer equipment overheating defect detects automatically and early warning system |
| CN109029549A (en) * | 2018-05-25 | 2018-12-18 | 文丹 | A kind of closet pipe detection system based on Internet of Things |
| CN109357645A (en) * | 2018-12-12 | 2019-02-19 | 四川沐迪圣科技有限公司 | A kind of packaged type ultrasonic wave bend pipe measuring thickness device |
| CN109470188A (en) * | 2018-11-28 | 2019-03-15 | 北京航空航天大学 | A kind of high temperature ultrasonic wave wall thickness monitor |
| CN110487226A (en) * | 2019-08-26 | 2019-11-22 | 上海工程技术大学 | A kind of Ultrasonic Intelligent thickness measurement online and etch state assess apparatus and method |
-
2019
- 2019-11-27 CN CN201911181114.XA patent/CN110849972A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5557970A (en) * | 1994-01-10 | 1996-09-24 | The United States Of America As Represented By The Secretary Of The Army | Automated thickness measurement system |
| US20090037146A1 (en) * | 2005-11-14 | 2009-02-05 | Trowbridge Jr Jack I | System and methods for testing, monitoring, and replacing equipment |
| CN202472867U (en) * | 2012-03-15 | 2012-10-03 | 招商局重庆交通科研设计院有限公司 | Wireless automatic monitoring system for engineering operation and safety state image |
| CN103867901A (en) * | 2012-12-18 | 2014-06-18 | 上海宝钢工业技术服务有限公司 | Method for detecting and evaluating gas pipeline wall thickness reduction |
| CN204373624U (en) * | 2014-12-22 | 2015-06-03 | 中国石油天然气股份有限公司 | Corrosion on-line monitoring system based on wireless multi-channel ultrasonic sensor network |
| CN205384002U (en) * | 2016-02-16 | 2016-07-13 | 长沙天卓塑胶有限公司 | Pipeline wall thickness ultrasonic measurement device |
| CN106959298A (en) * | 2017-04-26 | 2017-07-18 | 大连理工大学 | Hydraulic structure concrete crack real time on-line monitoring system based on machine vision |
| CN207648473U (en) * | 2017-11-06 | 2018-07-24 | 洋浦海科石化工程检测有限公司 | A kind of electromagnetic acoustic corrosive pipeline long-distance wireless monitoring device |
| CN207882721U (en) * | 2018-02-26 | 2018-09-18 | 深圳市诚之杰五金制品有限公司 | A kind of outdoor cabinet safety monitoring holder |
| CN208109265U (en) * | 2018-05-15 | 2018-11-16 | 国网河南省电力公司检修公司 | A kind of extra-high voltage transformer equipment overheating defect detects automatically and early warning system |
| CN109029549A (en) * | 2018-05-25 | 2018-12-18 | 文丹 | A kind of closet pipe detection system based on Internet of Things |
| CN109470188A (en) * | 2018-11-28 | 2019-03-15 | 北京航空航天大学 | A kind of high temperature ultrasonic wave wall thickness monitor |
| CN109357645A (en) * | 2018-12-12 | 2019-02-19 | 四川沐迪圣科技有限公司 | A kind of packaged type ultrasonic wave bend pipe measuring thickness device |
| CN110487226A (en) * | 2019-08-26 | 2019-11-22 | 上海工程技术大学 | A kind of Ultrasonic Intelligent thickness measurement online and etch state assess apparatus and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111397552A (en) * | 2020-03-19 | 2020-07-10 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN111397552B (en) * | 2020-03-19 | 2021-06-11 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN111720757A (en) * | 2020-06-04 | 2020-09-29 | 陈征 | Intelligent pipe and intelligent pipe network |
| RU200085U1 (en) * | 2020-07-03 | 2020-10-05 | Общество с ограниченной ответственностью "МИРРИКО" | CORROSION TRANSMISSION DEVICE |
| CN114263856A (en) * | 2021-12-27 | 2022-04-01 | 中国石油大学(北京) | Corrosion monitoring system and method based on two-dimensional flexible area array piezoelectric ultrasound |
| CN118013445A (en) * | 2024-04-08 | 2024-05-10 | 宁波市特种设备检验研究院 | Ultrasonic thickness measurement data cloud management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110849972A (en) | Pipeline internal corrosion condition ultrasonic monitoring system and method based on Internet of things | |
| CN102305352B (en) | Online monitoring system for corrosion state of oil and gas pipelines and method thereof | |
| CA3053881C (en) | Cathodic protection system monitoring | |
| US20230407488A1 (en) | Electrode watering assemblies and methods for maintaining cathodic monitoring of structures | |
| AU2012250586A1 (en) | Energy infrastructure risk analysis and remediation | |
| EP2261546A1 (en) | Method and system for assessing corrosion and/or degradation of a pipeline | |
| CN103592363B (en) | Method and the device of the breakage of monitoring buried metal pipeline corrosion-inhibiting coating | |
| WO2003031686A2 (en) | Cathodic protection remote monitoring method and apparatus | |
| KR20090003903A (en) | External corrosion direct assessment method for buried pipeline | |
| CN102721749A (en) | Acoustic emission detection device and method for detecting bottom of storage tank in confined space | |
| CN107013812B (en) | A kind of THM coupling line leakage method | |
| RU2459136C2 (en) | Method to monitor pipeline corrosion and device for its realisation | |
| CN110702796A (en) | Simulation device for acquiring in-service pipeline corrosion acoustic emission signal and acquisition method thereof | |
| CN110425427B (en) | Control method for water supply pipe network leakage | |
| WO2010065343A2 (en) | Method of predicting the location of microbiologically influenced corrosion of underground items | |
| CN1603814A (en) | Intelligent on-line detection system for corrosion and leakage of underground pipeline | |
| KR20210041346A (en) | Robotic system for pipe non-destructive inspection | |
| Abdulwahab et al. | Real-time remote monitoring and control system for underground pipelines. | |
| KR100406026B1 (en) | Corrosion Prediction System of Underground Metallic Tank | |
| WO2018097746A1 (en) | Method for detecting abnormal state of a fluid supply network based on pressure pattern analysis | |
| CN105156829A (en) | Urban pipeline valve installing construction technology | |
| CN205877724U (en) | Do not receive that coating influences at labour pipeline defect impulse eddy current testing device | |
| CN2731249Y (en) | Precision positioning device for defect of long conveying pipe line | |
| Raj et al. | Remote Intelligent System for Monitoring and Control of Water Distribution Network Using Remote I/O Module for Smart City | |
| KR200488207Y1 (en) | A pilot apparatus for assessment equipment of buried pipelines |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200228 |
|
| RJ01 | Rejection of invention patent application after publication |