CN114110443B - Intelligent detection method for odd point characteristics of flow transmission pipeline - Google Patents
Intelligent detection method for odd point characteristics of flow transmission pipeline Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention discloses an intelligent detection method for the odd point characteristics of a flow transmission pipeline, which comprises the following steps that firstly, a background parameter set is formed; secondly, installing a vibration wave parameter testing micro-nano device to each node position of the to-be-tested flow transmission pipeline, and collecting pipeline universe information transmitted between any two nodes on the to-be-tested flow transmission pipeline through the vibration wave parameter testing micro-nano device; a pipe singular point rupture threshold is set. According to the invention, by utilizing the physical characteristics of transmission of the water hammer vibration wave along the pipeline when the pipeline runs, the vibration wave transmission parameters are tested at the adjacent detection nodes, on-chip integration is realized by adopting the vibration wave sensor and the machine learning algorithm firmware, the material change singular point, the pipe circumference contact boundary change and the like of the pipeline are obtained from the vibration wave transmission parameter set based on the modes of deep learning, data fusion and the like, and the advanced pre-judgment and fixed-point maintenance are actively realized before the pipeline odd point cracking threshold is realized. The intelligent detection method for constructing the flow transmission pipeline and the fluid loss control optimization.
Description
Technical Field
The invention relates to the technical field of detection of a flow transmission pipeline, in particular to an intelligent detection method for the odd point characteristics of the flow transmission pipeline.
Background
Currently, industrial pipeline transportation began in the 19 th century, with the first crude oil transport pipeline being established in 1865 pa. Meanwhile, the water supply and regulation engineering also involves a plurality of pipelines, and can be traced back to 2500 years before the first male, and Sumeier establishes a water channel tunnel in the south of Mida of Meisuo. Pipeline transportation gradually develops into one of 5 modes of human substance transportation, and a general transportation object is fluid, mainly comprising water, crude oil, natural gas and the like, and also has small amount of solid particle wind load transportation. The pipeline transportation characteristics mainly comprise huge transportation volume, long transportation time, long continuous transportation time, low transportation cost per unit mass, long-time utilization of the pipeline, small occupied area (which is 3% of the road occupied area and 10% of the railway occupied area), less construction material consumption, short construction time, safety and reliability, low transportation energy consumption (unit energy consumption is less than 1/7 of railway transportation) and the like, and the transportation time is not limited by climate and other ground facilities.
According to the published data, the underground wading pipeline in Zhengzhou city exceeds 8000 km; wherein, the tap water supply pipeline is 4049 km, the central heating water pipeline is 1700 km and the gas pipeline is 1000 km. The existing crude oil pipelines in China are 2.7 kilometers, the finished oil pipelines are 2.1 kilometers, the mileage of the main natural gas pipeline is 6.4 kilometers, and the oil and gas pipeline scale in China can reach 24 kilometers in 2025. Meanwhile, the related output pipeline data of the United states is 2-3 times of that of China. At present, more than 3800 petroleum, natural gas and resource water transfer pipelines capable of running in a global manner exist, the mileage exceeds 196 kilometers, and a plurality of petroleum pipelines such as North stream-2, meinai lines and the like planned between medium-Russian, medium-Ha and medium-Burma are also arranged in the building flow pipelines. Petroleum conveying pipelines, natural gas conveying pipelines, municipal water-involved pipelines, remote resource water-regulating pipelines, auxiliary pipelines of fluid storage tanks, and built-in flow conveying pipelines of large and medium-sized equipment which are built on earth are already very huge numbers, so that a huge flow conveying pipeline technical market is formed.
The material of the flow transmission pipeline is generally spheroidal graphite cast iron, galvanized steel, reinforced cement (PCCP), polymer (PVC, PPR, PPP, PE), stainless steel, ceramics, copper and the like. In the use process, the pipelines form stress concentration, rupture, leakage and dripping phenomena due to corrosion, stress, water hammer effect vibration, construction defects, material failure, ground subsidence and the like, so that the loss of transported fluid resources (> 20%) is easy to cause, the environment is polluted, the national production and resident life are interrupted, and even secondary disasters such as fire disaster, biotoxicity and the like are formed. The municipal water delivery pipeline mainly comprises a water supply pipeline, a sewer pipeline, a heat supply pipeline, a resident natural gas pipeline and the like; the remote fluid transport pipelines are mostly transport pipelines of petroleum, natural gas and resource fresh water. The boundary of the part of the flow transmission pipeline is flexible media such as soil, air, heat insulation cotton and the like, and is supported by cement piers or metal brackets. The water supply, the water discharge, the fire-fighting water pipeline and the natural gas pipeline in the wall body of the large building are more, and the contact interfaces of the pipelines are mostly concrete, air, metal brackets and the like; large fluid storage and transportation equipment, large airplanes and giant ships also have more fluid transportation pipelines, and fluid transportation for maintaining equipment operation, such as fuel oil, special gas, water supply and drainage and the like, is completed, and the contact interface is mostly a metal bracket.
In order to ensure stable operation of fluid transportation, the detection technology of a fluid conveying pipeline is rapidly developed, and abundant pipeline detection schemes such as pressure, sound waves, optical fibers, infrared rays, fluid characteristics and the like are designed based on various physical effects, so that automation and systemization of devices and devices are gradually formed, and the market application is wide. Positioning detection of leakage points of a fluid conveying pipeline is commonly performed by using a ground penetrating radar, and a detector is required to be manually pushed to detect along a pipeline distribution path, so that time and labor are wasted, and the accuracy is poor; the method comprises the steps of monitoring the content of leakage fluid in a contact medium of a detection pipe wall manually or by a sensor, such as a noise recorder and corrosion monitoring equipment, wherein the noise recorder can detect water dripping, and if water leakage occurs, the leakage position can be positioned by combining flow parameters; the corrosion monitoring equipment analyzes soil components around the pipeline, monitors the corrosion rate of the pipeline, and alarms to the background center of the pipeline monitoring system after exceeding the safety limit; the optical fiber or cable distributed sensor has the advantages of higher detection precision and accurate positioning, is applied to a long-distance flow transmission pipeline network, needs to synchronously lay optical cables or cables at the initial stage of pipeline construction, is relatively difficult to repair or replace, and has high cost for repairing and paving cables of old and old fluid pipelines. In recent years, the positioning and testing are realized based on the partial characteristics of the fluid pipeline, such as PIG (PIG), infrared imaging, acoustic wave method, negative pressure wave method, support vector machine method, magnetic leakage method, self-adaptive wireless sensor method, sparse matrix measurement method, transient pressure wave oscillation, gray correlation analysis, genetic algorithm combined with inverse transient wave, continuous linear random estimation method, pressure point line analysis method, mass/volume balance method, digital signal processing method and the like
The current leakage detection methods of the flow transmission pipeline are numerous and are applied to long-distance and resource material transmission pipelines. However, the problems of detection after leakage, low detection precision and positioning precision, lack of real-time and intelligent detection/monitoring methods and the like still exist. If positioning, evaluation, and maintenance can be achieved before substantial leaks in the pipeline occur, better results in controlling fluid loss and reducing cost of the fluid delivery, i.e., what is desired as pre-leak monitoring, will be achieved. By analyzing the physical characteristics of the pipeline, the odd point of the pipeline can be used as an important parameter for researching the physical properties of the pipeline. The singular points are regarded as abnormal state areas in the use process of the flow transmission pipeline, and the abnormal state areas comprise leakage point generation, leakage point distribution, leakage point shape, leakage point dimension, corrosion thinning areas in the pipeline wall in the long-time use process of the pipeline, stress uneven areas applied to the pipeline wall caused by the change of the supporting environment of the periphery of the pipeline or the vibration of a water hammer, linear pipelines, bent pipelines and joint conversion joints, and areas with reduced pipe diameter caused by the gradual accumulation and siltation of fluid impurities in a high friction coefficient area of the pipeline wall. The definition of the singular point can technically define the potential risk point of the flow transmission pipeline, and has more engineering value than detecting/monitoring the actual leakage point of the flow transmission pipeline, and the detection before leakage, active detection, intelligent positioning, real-time detection and the like are realized.
The application of the invention aims at the real-time detection before the leakage of the flow transmission pipeline and provides an active, real-time and intelligent pipeline detection technology. The method for detecting physical characteristics of the fluid pipeline related to the fingerprint of the transmission parameter of the water hammer vibration wave of the fluid pipeline is provided; and combining a wireless transmission technology and a self-organizing network technology to form an intelligent detection scheme of the flow transmission pipeline on the detection principle, devices, system integration and the like of the flow transmission pipeline. The current situations of current subsequent detection, overhigh cost, fluid loss, easy environmental pollution, more auxiliary structures and lower singular point positioning precision in the field of flow pipeline detection are hopeful to be changed.
Disclosure of Invention
The invention aims to provide an intelligent detection method for the odd point characteristics of a flow transmission pipeline, which can early warn in advance before the pipeline is damaged due to the odd point rupture and the perimeter change of the flow transmission pipeline. Realize high accuracy location cutout maintenance, and then eliminate the national production that the defeated fluid loss and defeated pipeline operation do not have the warning interruption to lead to, resident life influence.
The invention adopts the technical scheme that:
an intelligent detection method for the odd point characteristics of a flow transmission pipeline comprises the following steps:
a: carrying out data acquisition on the flow transmission characteristics of the standard pipeline by using the vibration wave parameter test micro-nano device array to form a background parameter set;
b: installing a vibration wave parameter testing micro-nano device array to each node position of a to-be-tested flow transmission pipeline, and collecting pipeline universe information transmitted between two nodes on the to-be-tested flow transmission pipeline through the vibration wave parameter testing micro-nano device array, wherein the pipeline universe information comprises vibration wave amplitude, frequency, phase, modulation ratio and frequency deviation;
c: setting the sampling time length of vibration wave parameter data and starting time point, writing all acquired odd point characteristics and perimeter characteristics of a flow transmission pipeline before the time point into a pipeline detection background parameter set, realizing fusion of all background parameter sets in the early stage, and taking the fusion as the background parameter set to participate in comparison analysis of the data set of the next detection;
d: comparing and detecting a background parameter set with a data set acquired after a set time point, and acquiring the singular point characteristic and the perimeter characteristic change of the pipeline by the two data sets based on deep machine learning;
e: setting a pipeline singular point fracture threshold according to the flow condition experiment and theoretical simulation analysis results of the flow pipeline, and transmitting a singular point characteristic value to a regional control center in a specific proportion under the pipeline fracture threshold;
f: the information acquired by the nodes is processed and filtered to form a transmission data packet, and the self-adaptive construction network based on the node ID transmits the pipeline information and concentrates the pipeline information in a master control center; the processing and filtering refers to obtaining singular point positions and singular point physical properties from spectrum distribution, spectrum range, amplitude change and frequency modulation coefficient calculation of a spectrum data set.
The node positions comprise an array inspection well, a switch station, a voltage regulating station and a valve.
The vibration wave parameter testing micro-nano device system comprises a sensing array formed by sensing micro-nano devices, a control IC, a data processing firmware, a memory and a data transmission unit, wherein the output end of the sensing array is connected with the input end of the data processing firmware, the output end of the data processing firmware is connected with a master control center through the data transmission unit, and the output end of the control IC is connected with the control input end of the sensing array and the control input end of the data transmission unit.
The data processing firmware, the control IC, the storage unit and the data transmission unit are integrated and arranged on the detection node unit.
In the step D, the acquired data is compared with the background parameter set after time division, and when no specific change exists, the acquired data are continuously fused to form a new background parameter set of the flow transmission pipeline.
The certain proportion in the step E is 90% -95%.
The vibration wave testing micro-nano device is characterized by further comprising an elastic substrate, wherein the elastic substrate is an annular gasket type rubber cushion and an annular oversleeve type rubber cushion, grooves are formed in the elastic substrate in an array mode, and the vibration wave testing micro-nano device is embedded in the grooves; the characteristic dimension of the vibration wave testing micro-nano device is matched with a pipeline connecting piece of national standard.
The odd point characteristics of the flow transmission pipeline comprise crack shape, crack depth and crack distribution of the pipe wall; thickness, distribution and shape of the corrosion thinned area; the size, the distribution range and the distribution shape of the area with the diameter of the deposited impurity accumulation pipe reduced; the area size, the distribution shape and the stress bearing size of the stress concentration area.
The perimeter change of the flow transmission pipeline comprises the physical property change of a contact medium, the change of the contact stress, the change of the support rigidity of the clamp and the change of the environmental vibration amplitude.
The invention builds an intelligent detection method of the pipeline by taking micro-nano manufacturing technology, MEMS device integration and big data learning and mining integration as the basis, collects and defines singular point parameters, detects physical property change process and surrounding environment change state of the singular point of the pipeline before the odd point of the pipeline is broken, stops fixed-point flow and maintains, fundamentally inhibits loss of the fluid of the pipeline, is different from the passive detection after the current pipeline is broken, and is an active detection mode; further acquiring real-time evolution of the odd points of the pipeline from the pipeline water hammer vibration wave transmission parameter set based on big data fusion and deep learning, and optimizing the monitoring effect through intelligent learning; finally, the invention integrates sensing, data processing firmware, control IC, storage and information transmission on the elastic substrate based on micro-device integration of micro-nano manufacturing process, improves detection and processing speed, has small pipeline change and low industrial application cost.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic block diagram of the circuit of the present invention;
FIG. 3 is a graph showing the relation between Young's modulus change and vibration wave amplitude change according to the present invention;
FIG. 4 is a graph showing the flow rate of fluid in a fluid delivery pipeline versus vibration wave parameters according to the present invention;
FIG. 5 is a graph showing changes in the Young's modulus of a contact material around the perimeter of the flow conduit of the present invention resulting in changes in vibration wave amplitude emission;
FIG. 6 is a graph showing the effect of Poisson's ratio on vibration wave amplitude of the material of the flow pipeline according to the present invention;
FIG. 7 is a schematic representation of the change in amplitude of vibration waves of a fluid flow conduit of the present invention with cracks at different locations and different depths.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, 2 and 3, the present invention includes the steps of:
a: carrying out data collection on the flow transmission characteristics of the standard pipeline by using the vibration wave parameter test micro-nano device to form a background parameter set;
b: installing a vibration wave parameter testing micro-nano device to each node position of a to-be-tested flow transmission pipeline, and collecting pipeline universe information transmitted between any two nodes on the to-be-tested flow transmission pipeline through the vibration wave parameter testing micro-nano device, wherein the pipeline universe information comprises vibration wave amplitude, frequency, phase, modulation ratio and frequency deviation; these frequency domain information may relate to the flow pipeline properties based on a particular expression, e.g., f= (k/m) 1/2.
C: setting the sampling time length of vibration wave parameter data and starting time point, writing all acquired singular points and perimeter characteristics of a flow transmission pipeline before the time point into a pipeline detection background parameter set, realizing fusion of all background parameter sets in the early stage, and taking the fusion as a next detection background parameter set; the singular point characteristics include singular point positions, singular point geometries, singular point spatial distributions, and singular point physical characteristics. The perimeter characteristics include: tube periphery contact stress, tube periphery contact material, tube periphery support harness.
D: and comparing and detecting the data sets acquired after the set time point with the background parameter set, and acquiring the pipeline singular point and the perimeter characteristic change based on deep machine learning by the two data sets. Such as new spectral components being generated, a narrowing of the spectral range, an increase or decrease in amplitude.
E: setting a pipeline singular point fracture threshold (for example, applying pressure on a pipe wall, wherein the pressure value when the pressure reaches to the point of bursting the pipe wall is used as a recognition reference, the pipe wall rigidity value in a corrosion test is reduced to the lowest value of pipe wall pressure-bearing flow) according to a large number of experimental and theoretical analysis results, and transmitting a wireless signal formed by singular point characteristics to a regional control center when the pipe wall fracture threshold is lower than (95 percent);
f: the information acquired by the nodes is processed and filtered (singular point positions and singular point physical properties are acquired from spectrum distribution, spectrum range, amplitude change and frequency modulation coefficient calculation of a spectrum data set), and the pipeline information is transmitted by an adaptive construction network based on the node ID and is concentrated in a general control center.
The node position comprises a control device for guaranteeing the operation of the flow transmission pipeline, such as an array inspection well, a switching station, a pressure regulating station, a valve and the like.
The vibration wave parameter testing micro-nano device comprises a sensing array formed by sensing micro-nano devices, a control IC, a memory and a data transmission unit, wherein the output end of the sensing micro-nano device array is connected with the input end of the control IC, and the output end of the control IC is connected with a general control center through the data transmission unit.
The sensing micro-nano device comprises an amplitude sensor, a phase sensor, a frequency spectrum sensor and a modulation degree sensor, and other sensors can be arranged according to actual requirements in subsequent experimental researches.
The detection node device comprises firmware integrating algorithms such as deep learning, data fusion and the like, a micro-nano sensing device array for collecting a vibration wave parameter set, control system hardware and signal transmission system hardware;
the vibration wave testing micro-nano device is characterized by further comprising an elastic substrate, wherein the elastic substrate is an annular gasket type rubber cushion and an annular oversleeve type rubber cushion, grooves are formed in the elastic substrate in an array mode, and the vibration wave testing micro-nano device is embedded in the grooves; the characteristic dimension of the vibration wave testing micro-nano device is matched with a pipeline connecting piece of national standard. The micro-nano node device is embedded in the elastic substrate and constructs the geometric dimension of the related detection unit according to the characteristic dimension of the pipeline in the national standard; the joint is convenient to firmly attach to the joint, and additional structural changes are not caused to the joint.
The test data set is input into a machine learning network, and data are processed in real time and on site to form a background parameter set and a singular characteristic parameter set of the flow transmission pipeline between two nodes; the data processing firmware, the control IC, the storage unit and the data transmission unit are integrated in the detection unit device; the vibration wave transmission background parameter set of the newly-built initial flow transmission pipeline is derived from simulation result fusion experimental results of the characteristics of the flow transmission pipeline and the environment detection of the standard laboratory; based on time axis segmentation, the data acquired before the segmentation point is fused with the initial data set to form a new flow transmission pipeline characteristic parameter background; the flow transmission pipe vibration wave transmits a background parameter set, wherein data is acquired after time division points and is compared with the background parameter set, and when no specific change exists, the data is continuously fused to form a new flow transmission pipe background parameter set; the background parameter set of the flow transmission pipeline is compared with the background parameter set by acquiring data after time division points, and when the specificity changes, the odd point characteristics of the flow transmission pipeline and the pipe Zhou Texing are acquired based on differential calculation of the vibration wave transmission background parameter set and the new test vibration wave parameter set; the odd point characteristic of the pipeline of the transmission pipeline and the peripheral characteristic of the pipeline form a transmission data packet, and the transmission data packet is transmitted to a master control center based on a node ID self-adaptive network;
setting a singular point threshold value based on physical properties of materials of the flow transmission pipeline and experimental results and simulation results of surrounding environment characteristics, and sending an alarm signal to inform cutoff maintenance when a test data value reaches 95% of the threshold value;
the odd point characteristics of the flow transmission pipeline comprise crack shape, crack depth and crack distribution of the pipe wall; thickness, distribution and shape of the corrosion thinned area; the size, the distribution range and the distribution shape of the area with the diameter of the deposited impurity accumulation pipe reduced; the area size, the distribution shape and the stress bearing size of the stress concentration area. The perimeter change of the flow transmission pipeline comprises contact medium change (soil, cement, water, air and metal), contact stress size change, clamp support rigidity change and environmental vibration amplitude change.
In particular, as shown in fig. 3, the change of young's modulus of the surface flow pipeline can cause the vibration wave amplitude to change, and the wave parameter amplitude is related to the young's modulus of the flow pipeline. In the operation condition of the flow transmission pipeline, the Young modulus of the pipe wall at the singular point position is changed due to corrosion, crack and accumulation thickening, and the flow transmission pipeline can be tested from the vibration wave amplitude characteristic.
Fig. 4 is a graph of the change in flow rate of fluid in a fluid conduit versus vibration wave parameters, showing the correlation of vibration wave amplitude with fluid flow rate change. The pipe diameter changes due to impurity accumulation in the pipeline to influence the flow velocity of the flow, and the vibration wave amplitude changes acquired from the test nodes can form a test.
Fig. 5 is a graph showing that changes in young's modulus of contact material around the perimeter of a flow conduit result in changes in vibration wave amplitude emissions. The working condition contact materials used around the flow transmission pipe are generally soil, cement, metal (ship), water and air. The influence is obvious from the condition that the contact interfaces of soil with different Young modulus (water content and sand content) influence the amplitude of vibration waves. Correspondingly, the cement and metal materials with higher Young's modulus of the contact interface material have more obvious influence on the transmission of vibration waves, and the influence of water and air with lower Young's modulus also has necessarily existed. Vibration wave parameter testing can test to discern changes from different physical materials, such as from earth to water or air, from metal to water or air.
FIG. 6 shows the effect of Poisson's ratio on vibration wave amplitude of the material of the flow pipeline, and shows that the material at the singular point of the flow pipeline is modified, poisson's ratio is changed, and the change of the Poisson's ratio can be reflected from the vibration wave amplitude.
Fig. 7 shows that cracks appear at different positions and at different depths on the flow pipeline, although fluid leakage is not caused yet, and the influence on the amplitude of vibration waves is also caused. By testing the amplitude variation of the vibration wave, it is also possible to detect partial information of crack-like irregularities on the flow conduit.
From the test results of fig. 3 to 7, it can be confirmed that the singular point characteristics of the flow transmission pipe have a correlation with the vibration wave amplitude. Therefore, the multi-parameter and multi-data large data mining mode can acquire the odd point characteristics of the flow pipeline from the wave parameter change.
When the device is actually used, firstly, the vibration wave testing micro-nano device array is arranged at the positions of nodes such as an inspection well of a flow pipeline, a switch station and the like, and the detection nodes monitor in real time and detect water hammer vibration wave signals transmitted from two sides of the nodes;
then testing the micro-nano array to obtain the whole domain information of the pipelines such as vibration wave amplitude, frequency, phase, modulation ratio, frequency offset and the like transmitted between two nodes, and as shown in fig. 2, collecting various information transmitted by the water hammer vibration wave by the sensor array, storing the information, processing the information by a processing center through a deep machine learning algorithm and a data fusion algorithm, and obtaining the background information, singular points, perimeter change specificity and other evolution information of the flow transmission pipeline between the two nodes;
the detection node integrates algorithm firmware such as deep learning, data fusion and the like, and forms a system on chip with the detection node detection micro-nano device array, the control IC, the storage unit and the data transmitting unit; the data set divided by calculation processing is transmitted by a wireless transmission unit;
the system on chip is embedded in the elastic substrate, and the geometric dimension of the detection node is built according to the characteristic dimension of the pipeline in the national standard. The detection nodes are constructed and respectively in a pad type and a sleeve type, and an elastic substrate is adopted, so that the installation of the nodes of various flow transmission pipelines is facilitated, and the paving cost of the detection nodes is reduced;
and taking the characteristic data of the pipeline obtained through laboratory simulation and experiment as a pipeline physical property background parameter set before a newly-built pipeline singular point detection time point. In view of the fact that the device is used for the first time by the pipeline network and no background parameter set source exists, the pipeline testing, simulation physical properties and perimeter characteristics of the standard laboratory are taken as initial backgrounds;
setting the interval time length, writing the singular points and the perimeter characteristics of the previously acquired flow transmission pipeline at the time point into a pipeline detection background parameter set to realize fusion of all background parameter sets in the earlier stage, wherein the data processing flow is shown in figure 1;
acquiring data after a time point, comparing and detecting background parameters, acquiring singular points and perimeter characteristic changes of a pipeline based on machine learning, wherein the step is the key of intelligent detection of a flow transmission pipeline, acquiring and stripping singular point characteristic parameters and perimeter change characteristic parameters from a large amount of acquired data based on deep machine learning by adopting a neural network, comparing and analyzing the singular point characteristic parameters and the perimeter change characteristic parameters with corresponding parameters in a background parameter set, and realizing characteristic analysis and high-precision positioning of the singular points and the perimeter of the flow transmission pipeline, as shown in figure 1;
setting a pipeline singular point threshold according to experimental and theoretical analysis bases, and under the pipeline fracture threshold, namely summarizing parameters such as singular point positions, singular point physical properties and the like, and carrying out flow breaking maintenance. Different materials, different topological structures, different contact interfaces and perimeter environment parameters, and thresholds of occurrence of cracking singular points of the flow transmission pipeline are different. Through a large number of experiments and simulation analysis, the stress bearing strength, corrosion speed, stress concentration and the like of the special environment and the special material flow transmission pipeline are set as corresponding thresholds, and the system is analyzed and judged according to the test result to reach 95% of the thresholds, which means that the singular point position has a cracking risk and needs to be cut off for maintenance;
the information acquired by the nodes is processed and filtered, then the pipeline information is transmitted based on the node ID self-adaptive network, the nodes automatically communicate with the peripheral nodes, and the data set carries the ID information, as shown in figure 6. The data is concentrated in the central control center. In order to realize centralized control, the node-to-node flow pipeline odd point mutation information acquired by the nodes is relayed and transmitted by each node and finally is processed by a master control center. The intelligent processing chain is formed, and the pipeline testing cost is reduced.
The singular point can be regarded as an abnormal state area including a crack shape occurring in the use process of the flow transmission pipeline; the cracks are spatially distributed; crack geometry; corrosion thinned areas of the pipe wall occur during long-term use of the pipe; a stress uneven area applied to the wall of the pipeline caused by environmental change or water hammer vibration is supported on the periphery of the pipeline; the straight pipeline is connected with the bent pipeline and the straight pipe to convert the joint; fluid impurities gradually accumulate in the pipe wall at high friction points to foul the pipe diameter reduction region and the like. The definition of the singular point can technically define the potential risk point of the flow transmission pipeline, and has more engineering value than detecting/monitoring the actual leakage point of the flow transmission pipeline, so as to realize monitoring before leakage, active detection, intelligent positioning and real-time monitoring.
In the description of the present invention, it should be noted that, for the azimuth words such as "center", "lateral", "longitudinal", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc., the azimuth and positional relationships are based on the azimuth or positional relationships shown in the drawings, it is merely for convenience of describing the present invention and simplifying the description, and it is not to be construed as limiting the specific scope of protection of the present invention that the device or element referred to must have a specific azimuth configuration and operation.
It should be noted that the terms "first," "second," and the like in the description and in the claims of the present application are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Note that the above is only a preferred embodiment of the present invention and uses technical principles. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the present invention has been described in connection with the above embodiments, it is to be understood that the invention is not limited to the specific embodiments disclosed and that many other and equally effective embodiments may be devised without departing from the spirit of the invention, and the scope thereof is determined by the scope of the appended claims.
Claims (7)
1. An intelligent detection method for the odd point characteristics of a flow transmission pipeline is characterized by comprising the following steps of: the method comprises the following steps:
a: carrying out data acquisition on the flow transmission characteristics of the standard pipeline by using the vibration wave parameter test micro-nano device array to form a background parameter set;
b: installing a vibration wave parameter testing micro-nano device array to each node position of a to-be-tested flow transmission pipeline, and collecting pipeline universe information transmitted between two nodes on the to-be-tested flow transmission pipeline through the vibration wave parameter testing micro-nano device array, wherein the pipeline universe information comprises vibration wave amplitude, frequency, phase, modulation ratio and frequency deviation; the vibration wave parameter test micro-nano device array comprises a sensing array formed by sensing micro-nano devices, a control IC, a data processing firmware, a memory and a data transmission unit, wherein the output end of the sensing array is connected with the input end of the data processing firmware, the output end of the data processing firmware is connected with a master control center through the data transmission unit, and the output end of the control IC is connected with the control input end of the sensing array and the control input end of the data transmission unit;
c: setting the sampling time length of vibration wave parameter data and starting time point, writing all acquired odd point characteristics and perimeter characteristics of a flow transmission pipeline before the time point into a pipeline detection background parameter set, realizing fusion of all background parameter sets in the early stage, and taking the fusion as the background parameter set to participate in comparison analysis of the data set of the next detection;
d: comparing and detecting a background parameter set with a data set acquired after a set time point, and acquiring the singular point characteristic and the perimeter characteristic change of the pipeline by the two data sets based on deep machine learning;
e: setting a pipeline singular point fracture threshold according to the flow condition experiment and theoretical simulation analysis results of the flow pipeline, and transmitting a singular point characteristic value to a regional control center in a specific proportion under the pipeline fracture threshold; the certain proportion in the step E is 90% -95%;
f: the information acquired by the nodes is processed and filtered to form a transmission data packet, and the self-adaptive construction network based on the node ID transmits the pipeline information and concentrates the pipeline information in a master control center; the processing and filtering refers to obtaining singular point positions and singular point physical properties from spectrum distribution, spectrum range, amplitude change and frequency modulation coefficient calculation of a spectrum data set.
2. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to claim 1, which is characterized in that: the node positions comprise an array inspection well, a switch station, a voltage regulating station and a valve.
3. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to claim 1, which is characterized in that: the data processing firmware, the control IC, the storage unit and the data transmission unit are integrated and arranged on the detection node unit.
4. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to claim 1, which is characterized in that: in the step D, the acquired data is compared with the background parameter set after time division, and when no specific change exists, the acquired data are continuously fused to form a new background parameter set of the flow transmission pipeline.
5. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to any one of claims 1 to 4, which is characterized in that: the vibration wave testing micro-nano device is characterized by further comprising an elastic substrate, wherein the elastic substrate is an annular gasket type rubber cushion and an annular oversleeve type rubber cushion, grooves are formed in the elastic substrate in an array mode, and the vibration wave testing micro-nano device is embedded in the grooves; the characteristic dimension of the vibration wave testing micro-nano device is matched with a pipeline connecting piece of national standard.
6. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to claim 1, which is characterized in that: the odd point characteristics of the flow transmission pipeline comprise crack shape, crack depth and crack distribution of the pipe wall; thickness, distribution and shape of the corrosion thinned area; the size, the distribution range and the distribution shape of the area with the diameter of the deposited impurity accumulation pipe reduced; the area size, the distribution shape and the stress bearing size of the stress concentration area.
7. The method for intelligently detecting the odd point characteristics of the flow transmission pipeline according to claim 1, which is characterized in that: the perimeter change of the flow transmission pipeline comprises the physical property change of a contact medium, the change of the contact stress, the change of the support rigidity of the clamp and the change of the environmental vibration amplitude.
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| CN109555980B (en) * | 2018-12-21 | 2020-02-07 | 郑州大学 | Vibration wave micro-nano capacitive sensor and fluid pipeline vibration wave monitoring array system |
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