CN110456097A - A kind of intelligent pipeline of fluid inspection - Google Patents

A kind of intelligent pipeline of fluid inspection Download PDF

Info

Publication number
CN110456097A
CN110456097A CN201910764283.XA CN201910764283A CN110456097A CN 110456097 A CN110456097 A CN 110456097A CN 201910764283 A CN201910764283 A CN 201910764283A CN 110456097 A CN110456097 A CN 110456097A
Authority
CN
China
Prior art keywords
module
microarray
rectangular pyramids
truncated rectangular
positive truncated
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
Application number
CN201910764283.XA
Other languages
Chinese (zh)
Inventor
吴化平
孔琨
裘烨
王有岩
蒋正扬
王怡超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University of Technology ZJUT
Original Assignee
Zhejiang University of Technology ZJUT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang University of Technology ZJUT filed Critical Zhejiang University of Technology ZJUT
Priority to CN201910764283.XA priority Critical patent/CN110456097A/en
Publication of CN110456097A publication Critical patent/CN110456097A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17DPIPE-LINE SYSTEMS; PIPE-LINES
    • F17D5/00Protection or supervision of installations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M10/00Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00Indicating or recording presence, absence, or direction, of movement
    • G01P13/0006Indicating or recording presence, absence, or direction, of movement of fluids or of granulous or powder-like substances
    • G01P13/0053Indicating or recording presence, absence, or direction, of movement of fluids or of granulous or powder-like substances by using dynamo-electric effect
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00Indicating or recording presence, absence, or direction, of movement
    • G01P13/02Indicating direction only, e.g. by weather vane
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P5/00Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
    • G01P5/08Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring variation of an electric variable directly affected by the flow, e.g. by using dynamo-electric effect
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Fluid Mechanics (AREA)
  • Measuring Fluid Pressure (AREA)

Abstract

The present invention is a kind of intelligent pipeline of fluid inspection, includes: pipeline, data acquisition module, data processing module, wireless transmitter module, wireless receiving module, display screen and power supply module.The power supply module, data acquisition module, wireless transmitter module are sequentially connected, and the data acquisition module is perpendicularly fixed at inner wall of the pipe, and the power supply module and wireless transmitter module are sealingly fastened in insides of pipes upper wall;The wireless receiving module, data processing module, display screen are sequentially connected, and are fixed on the outside of pipeline.Data acquisition module deformation that bends with the movement of fluid, then generates associated electric signal, to realize the monitoring to fluids within pipes state.The present invention, which can be detected effectively, is difficult to the fluid state signal collected with monitoring conventional pipeline system, suitable for the pipe-line system demand under many complex states.

Description

A kind of intelligent pipeline of fluid inspection
Technical field
The invention belongs to intelligent pipeline fields, more particularly to a kind of intelligent pipeline of fluid inspection.
Background technique
In industrial production life, pipe-line system is because being widely used in a variety of industries and multiple fields the characteristics of its own In, such as solid particle, powder, slurry, fluid, the transport of gas etc..In actual industrial production, image-stone oiling labour movement It is defeated, sewage treatment, in these important specific scenes of natural gas transportation, the extremely important role of pipe-line system performer.It can To say that pipeline is the lifeline of these industries, however, due to the huge feature and its complexity of pipe-line system, to fluids within pipes Or the status monitoring of gas becomes a problem, every year due to relevant monitoring caused some big and small accidents not in place I is unequal to its number, such as in oil gas field, consequence is not only economic loss, and huge pollution but will be brought to environment.
Traditional Monitoring Pinpelines mainly pass through the mode by way of manual inspection with state of matter in interim inspection pipe Judgement fluid state is carried out, these modes are not only time-consuming and laborious more to lack certain timeliness, it is difficult to which faster finds Relevant issues and real-time perfoming monitoring.And also occur some new technologies with the development of technology, such as pass through fluids within pipes Quality and volumetric analysis, emi analysis, pipeline pressure analysis etc. mode, wherein being similar to side as quality and volumetric analysis Formula, which often waits tube fluids state to have occurred and that after variation or that some failures have occurred and that, can just monitor, and back two Its problem of being primarily present of kind of mode be also in terms of real-time monitoring mode lack certain superiority, meanwhile, monitoring range is small, It is also some shortcomings of these technologies that equipment, which needs regular maintenance,.
Summary of the invention
The purpose of the present invention is provide one kind for traditional more old-fashioned pipeline fluid monitoring mode with novel biography A kind of intelligent pipeline of fluid inspection based on sensor perception, has and is capable of the speed of real-time monitoring pipeline fluid, direction and The function of flow regime.
To reach above-mentioned function, this monitoring system is realized by following series technical project: a kind of intelligence of fluid inspection Can pipeline, comprising: pipeline, data acquisition module, data processing module, wireless transmitter module, wireless receiving module, display screen and Power supply module.The power supply module, data acquisition module, wireless transmitter module are sequentially connected, and the data acquisition module is vertical It is fixed on inner wall of the pipe, the power supply module and wireless transmitter module are sealingly fastened in insides of pipes upper wall;The wireless receiving Module, data processing module, display screen are sequentially connected, and are fixed on the outside of pipeline.Stream in the data collecting module collected pipeline The force electrical signal of body, emits through wireless transmitter module, receives force electrical signal by wireless receiving module, then believe through data processing module Force electrical signal is converted to flow speed data by number processing, is finally shown by display screen.
The data acquisition module is piezoelectricity/pressure drag double mode flexible sensor, and the sensor includes piezoelectric layer and pressure Resistance layer;The piezoelectric layer is by the Piezoelectric anisotropy film with micro-structure, and is sprayed on gold electrode on laminated film and constitutes;It is described Piezoresistance layer is made of the graphene film for being sprayed on the gold electrode surfaces with micro-structure and the PDMS with micro-structure;It is described Micro array structure is positive truncated rectangular pyramids microarray, and the ratio k and array heights h of the array upper bottom surface side length and bottom surface side length are full Foot:
Wherein,For the first variable, specially
For the second variable, tool Body is For third variable, speciallycij、eijWith kijIt is elastic stiffness constant, piezoelectric stress constant and dielectric constant respectively;a2Be positive truncated rectangular pyramids bottom surface side length;F is expressed as pressure, T is the time, and R is voltmeter internal resistance, and V is the output voltage of piezoelectric layer.
Further, the positive truncated rectangular pyramids microarray is preferably pyramid microarray.
Further, it is h=40 μm that the positive truncated rectangular pyramids microarray is highly preferred.
Further, the positive truncated rectangular pyramids microarray of the piezoelectric layer is prepared by the following method:
(1) 1g BTO nano particle is soaked in 10mL H2O2, impregnating 6h under the conditions of 90 DEG C makes BTO nano grain surface Modified, drying obtains h-BTO powder.
(2) the h-BTO powder 0.025g for taking step (1) to be prepared, is dissolved in the DMF of 10mL, while taking 0.225g P (VDF-TrFE) powder is dissolved in the DMF of another 10mL, is then uniformly mixed two parts of DMF solutions;
(3) mixed solution in step (2) is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size For 1cm × 1cm, freeze-day with constant temperature to film-forming, then make annealing treatment 2h at 120 DEG C and then cool down, after being cooled to room temperature, it will answer Film is closed to remove from silicon template.
(4) gold electrode that two surfaces of the laminated film that step (3) obtains are plated to 100nm thickness respectively, connects respectively A lead is connect, the piezoelectric membrane with positive truncated rectangular pyramids microarray is prepared.
Further, the positive truncated rectangular pyramids microarray of the piezoresistance layer is prepared by the following method:
(1) PDMS is uniformly mixed with curing agent according to mass ratio 10:1, vacuum degassing bubble;
(2) PDMS for removing bubble is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size is 1cm × 1cm, freeze-day with constant temperature to film-forming, and removed from silicon template;
(3) by 10mL 0.75mg/mL graphene solution drop coating to the surface PDMS and gold electrode surfaces with microarray, And dry, it draws a lead on the surface of graphene respectively, obtains the piezoresistance layer with positive truncated rectangular pyramids microarray.
Compared with prior art, the invention has the advantages that: the data acquisition module that the application uses for piezoelectricity/ Pressure drag double mode flexible sensor, from the point of view of the structure of sensor itself, since the transducing signal of piezoelectric layer and piezoresistance layer passes through Different electrode output, avoids interfering with each other for two groups of signals, ensure that the pipeline fluid condition relevant data being collected into Accuracy.Double mode sensor cooperates piezoelectric sensing mechanism with pressure drag sensor mechanism, complete single-mode sensor without Method realize function, can either detect static force change, and can feed back high-frequency signal stimulation, detection object stress or In deformation process, the advantages of obtaining more information, combine piezoelectric transducer and piezoresistive transducer.In sensing capabilities side Face, the sensing capabilities of double mode sensor do not decline not only, and sense since double mode sensor is combined than single-mode Device is thinner lighter, and double mode sensor shows more preferably sensing capabilities.And it is analyzed positive four in sensor by calculating Influence of the terrace with edge microarray to piezoelectric layer sensing capabilities, when the geometric parameter k and h of positive truncated rectangular pyramids micro-structure increase, piezoelectric layer Output voltage values increase, and sensitivity increases.Optimal micro-structure-pyramid micro-structure has been determined, and has passed through the method system of pour mask The standby sensing layer with pyramid micro structure array, can not only real-time monitoring pipeline stress condition, and can real-time detection The flow velocity of fluid out.The intelligent pipeline has the characteristics of speed for capableing of real-time monitoring pipeline fluid, direction and flow regime.
Detailed description of the invention
Fig. 1 is the workflow block diagram of intelligent pipeline of the present invention;
Fig. 2 is piezoelectricity of the present invention/pressure drag double mode sensor working principle diagram;
Fig. 3 double mode sensor and single-mode cell pressure and Bending Deformation sensing capabilities comparative experimental data;
Fig. 4 is the simulation effect picture that double mode sensor is connect with pipeline and each module connects;
Fig. 5 is a kind of pipe-line system entirety and local appearance figure.
Specific embodiment
As shown in Fig. 1,4, for a kind of intelligent pipeline of fluid inspection of the present invention, comprising: pipeline, data acquisition module, number According to processing module, wireless transmitter module, wireless receiving module, display screen and power supply module.The power supply module, data acquisition module Block, wireless transmitter module are sequentially connected, and the data acquisition module is perpendicularly fixed at inner wall of the pipe, the power supply module and wireless Transmitting module is sealingly fastened in insides of pipes upper wall;The wireless receiving module, data processing module, display screen are sequentially connected, It is fixed on the outside of pipeline.The force electrical signal of the data collecting module collected fluids within pipes, emits through wireless transmitter module, by Wireless receiving module receives force electrical signal, then force electrical signal is converted to flow speed data through data processing module signal processing, most It is shown eventually by display screen.
The data acquisition module is piezoelectricity/pressure drag double mode flexible sensor, as shown in Fig. 2, including piezoelectric layer and pressure Resistance layer;The piezoelectric layer is by the Piezoelectric anisotropy film with micro-structure, and is sprayed on gold electrode on laminated film and constitutes;It is described Piezoresistance layer is made of the graphene film for being sprayed on the gold electrode surfaces with micro-structure and the PDMS with micro-structure;It is described Micro array structure is positive truncated rectangular pyramids microarray.According to the constitutive equation of piezoelectric effect:
Wherein cij、eijAnd kijIt is elastic stiffness constant, piezoelectric stress constant and dielectric constant, σ respectivelyijFor stress, εij For strain, D is dielectric displacement, and E is electric field strength.
When piezoelectric membrane is acted on by normal force, σ 11 and σ 22 are equal to 0, above formula (2) and (3) simultaneous, expression are as follows:
ε 11, ε 22 and ε 33 is eliminated to obtain:
Wherein: D3For method phase dielectric displacement,
Again according to the relationship between electric field and potential:
Further obtain the method phase dielectric displacement of piezoelectric membrane are as follows:
V is the output voltage of piezoelectric membrane, and l is the thickness of P (VDF-TrFE) film.
According to Maxwell equation and Ohm's law, the size and dielectric displacement D of electric current I3, voltage V it is related with resistance R, root According to the relationship between them:
Wherein, t is the time, and A is piezoelectric membrane forced area.By electric current I and dielectric displacement D3Elimination after obtain:
Again
According to primary condition V(t=0)=0, output voltage V are as follows:
In formula:
In order to further increase the piezoelectric effect of piezoelectric membrane, positive truncated rectangular pyramids microarray knot is introduced on flat film surface Structure, relative to flat film structure, as shown in Figure 1, the sectional area of truncated rectangular pyramids structure in vertical direction is different, piezoelectricity is thin The normal stress σ that film is subject to33It is equal, and stress σ of the truncated rectangular pyramids on vertical cross-section in vertical direction33It is different.
If the side length of truncated rectangular pyramids upper surface is a1, a length of height of bottom sides is h (Fig. 1).Then the mean stress of truncated rectangular pyramids can It indicates are as follows:
In formula, geometric parameter k=a is defined2/a1.As k=1, the area of the upper top surface of positive truncated rectangular pyramids is equal to bottom surface Area is considered as a micro unit for flat film.It can be seen that working as the height h and bottom sides of truncated rectangular pyramids from formula (17) Long a2When constant, upper top surface side length a1It is smaller, mean stress σ '33It is bigger.It is defeated between positive truncated rectangular pyramids upper and lower end face in order to obtain Voltage value out brings mean stress σ ' 33 into
To obtain:
From formula (1) it can be seen that the output voltage and positive truncated rectangular pyramids micro-structure and geometric parameter k of piezoelectric transducer and Height h is directly proportional.So in order to improve the sensing capabilities of piezoelectric sensing layer, it should the area of top surface as far as possible in reduction micro-structure With the height for increasing micro-structure.Therefore, when positive truncated rectangular pyramids are pyramid structure, piezoelectric layer sensing capabilities are optimal.Work as gold The bottom edge of word tower micro-structure is elongated when being 60 μm, and the maximum height that current micro-structure processing technology can be prepared is 40 μm.
The piezoelectric layer is prepared by the following method:
(1) 1g BTO nano particle is soaked in 10mL H2O2, impregnating 6h under the conditions of 90 DEG C makes BTO nano grain surface Modified, drying obtains h-BTO powder.
(2) the h-BTO powder 0.025g for taking step (1) to be prepared, is dissolved in the DMF of 10mL, while taking 0.225g P (VDF-TrFE) powder is dissolved in the DMF of another 10mL, is then uniformly mixed two parts of DMF solutions;
(3) mixed solution in step (2) is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size For 1cm × 1cm, freeze-day with constant temperature to film-forming, then make annealing treatment 2h at 120 DEG C and then cool down, after being cooled to room temperature, it will answer Film is closed to remove from silicon template.
(4) two surfaces of the laminated film obtained in step (3) plate 100nm thickness using electron beam evaporation technique respectively The gold electrode of degree is separately connected a lead, and the piezoelectric membrane with positive truncated rectangular pyramids microarray is prepared.
The piezoresistance layer includes following preparation method:
(1) PDMS is DC184 using Dow corning company model, by PDMS and curing agent according to mass ratio 10:1 is uniformly mixed, vacuum degassing bubble;
(2) PDMS for removing bubble is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size is 1cm × 1cm, freeze-day with constant temperature to film-forming, and removed from silicon template;
(3) by 10mL 0.75mg/mL graphene solution drop coating to the surface PDMS and gold electrode surfaces with microarray, And dry, and draw a lead on the surface of graphene, obtain the piezoresistance layer with positive truncated rectangular pyramids microarray.
Embodiment
The data acquisition module of the present embodiment is piezoelectricity/pressure drag double mode flexible sensor, what micro array structure used It is 60 μm of bottom edge side length, the pyramid microarray of 40 μm of height.Piezoelectricity/pressure drag double mode pressure sensor packet as shown in Figure 2 Include piezoelectric layer and piezoresistance layer two parts.It is prepared for gold electrode in the upper and lower faces of piezoelectric layer, the piezoelectric signal of piezoelectric layer output is logical Cross gold electrode access voltmeter.One layer of rGO is covered in the micro-structure surface of piezoelectric layer and piezoresistance layer.Pressure drag signal passes through two Layer rGO is input to ammeter.The transducing signal of piezoelectric layer and piezoresistance layer is exported by different electrodes, avoids two groups of signals It interferes with each other, it is ensured that the accuracy of test.
In order to compare double mode sensor and single mode sensor performance, under identical experiment condition, by single-mode Piezoresistive transducer and piezoelectric transducer stick together, the pressure and bending strain sensing capabilities of combination sensor are done Test.Experimental data figure such as Fig. 3, when being detected to the loading speed of pressure, voltmeter internal resistance R=10M Ω, such as Fig. 3 (a) institute Show, the minimum loading speed that double mode sensor piezoelectric layer can perceive is 0.1kPa/s, and the sensitivity S of double mode sensor =0.23, linearity L=0.98;The sensing sensitivity S=0.18 of single-mode piezoelectric transducer, double mode sensor are detecting There is higher sensitivity when pressure-loaded rate.Equally the bending strain detection performance of two kinds of sensors is compared, from It can be seen that the sensing sensitivity of piezoelectric layer is 0.18V/ (%s in double mode in Fig. 3 (b)-1), highest detection strain rate is 10%s-1.And lower (0.12V/ (the %s of sensitivity of single mode combination sensing-1)), highest detection strain rate is 9%s-1.This Outside, piezoresistance layer is 2.16 to the sensing sensitivity of bending strain in double mode sensor, the sensitivity of single mode combination sensor It is 1.85.Therefore, in bending strain test experience, double mode sensor shows more excellent than single-mode combination sensor Sensing capabilities more.In addition, according to further related experiment, by specifically simulating pipeline and tying everyday common sense, in pipeline The flow rate of fluid there are in fact a kind of linear relationship with the strain rate of the sensor in above-mentioned datagram, i.e., When fluids within pipes flow rate is bigger, the strain rate (ratio of the time of the degree and variation of variation) of sensor also can With increasing, on the contrary, corresponding strain rate can also become smaller therewith when flow rate is smaller, further, by passing The relationship of the sensing characteristics of the strain rate of sensor and two kinds of different mode sensors, we can establish fluids within pipes flowing Relationship between the signal that rate and sensor monitor and output signal, the monitoring for entire pipe-line system provide foundation.
As shown in figure 5, first numbering each junction of piping drawing, this pipeline prison is further described on the whole with this The specific embodiment of examining system.It is passed through certain fluid (gas or liquid) from upper left side nozzle in figure, passes through pipeline meeting By the junction of each number, 1. 2. 3. 4. 5. locates the signal monitored respectively fluid when in stablizing and be translated into Related data, the result that the be transported to end PC of five local sensors ultimately generates at this time should be it is roughly the same, if at this time 2. 3. the pipeline internal vent or other reasons of the adjustment junction that 4. some ground 5. is thought make the speed of the fluid in pipeline Certain change occurs for degree and direction, and under the conditions of this, the sensor 2. 3. 4. 5. located can not only monitor different flow-likes State and data when making to stablize change, therefore the sensor 1. located equally also can export different signal conditions, pass through These final outputs to the end PC signal intensity acquisition and comparison, the analysis of further computer may finally the place of monitoring be The pipeline conditions variation at the position of which number causes the flow regime of fluid to change, and further, can be divided with this Which specific junction of analysis pipeline goes wrong or failure, achievees the purpose that this intelligent pipeline monitors system.

Claims (5)

1. a kind of intelligent pipeline of fluid inspection characterized by comprising pipeline, data acquisition module, data processing module, Wireless transmitter module, wireless receiving module, display screen and power supply module.The power supply module, data acquisition module, wireless transmission Module is sequentially connected, and the data acquisition module is perpendicularly fixed at inner wall of the pipe, and the power supply module and wireless transmitter module are close Sealing schedules insides of pipes upper wall;The wireless receiving module, data processing module, display screen are sequentially connected, and are fixed on pipeline Outside.The force electrical signal of the data collecting module collected fluids within pipes, emits through wireless transmitter module, by wireless receiving mould Block receives force electrical signal, then force electrical signal is converted to flow speed data through data processing module signal processing, finally by display screen Display.
The data acquisition module is piezoelectricity/pressure drag double mode flexible sensor, and the sensor includes piezoelectric layer and piezoresistance layer; The piezoelectric layer is by the Piezoelectric anisotropy film with micro-structure, and is sprayed on gold electrode on laminated film and constitutes;The pressure drag Layer is made of the graphene film for being sprayed on the gold electrode surfaces with micro-structure and the PDMS with micro-structure;Micro- battle array Array structure is positive truncated rectangular pyramids microarray, and the ratio k and array heights h of the array upper bottom surface side length and bottom surface side length meet:
Wherein,For the first variable, specially
For the second variable, specially For third variable, speciallycij、eijAnd kijPoint It is not elastic stiffness constant, piezoelectric stress constant and dielectric constant;a2Be positive truncated rectangular pyramids bottom surface side length;F is expressed as pressure, and t is Time, R are voltmeter internal resistance, and V is the output voltage of piezoelectric layer.
2. intelligent pipeline according to claim 1, which is characterized in that the positive truncated rectangular pyramids microarray is preferably that pyramid is micro- Array.
3. intelligent pipeline according to claim 1, which is characterized in that the highly preferred positive truncated rectangular pyramids microarray is h=40 μ m。
4. intelligent pipeline according to claim 1, which is characterized in that the positive truncated rectangular pyramids microarray of the piezoelectric layer passes through following Method preparation:
(1) 1g BTO nano particle is soaked in 10mL H2O2, impregnating 6h under the conditions of 90 DEG C changes BTO nano grain surface Property, drying obtains h-BTO powder.
(2) the h-BTO powder 0.025g for taking step (1) to be prepared, is dissolved in the DMF of 10mL, while taking 0.225g P (VDF-TrFE) powder is dissolved in the DMF of another 10mL, is then uniformly mixed two parts of DMF solutions;
(3) mixed solution in step (2) is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size is 1cm × 1cm, freeze-day with constant temperature to film-forming, then make annealing treatment 2h at 120 DEG C and then cool down, it, will be compound after being cooled to room temperature Film is removed from silicon template.
(4) gold electrode that two surfaces of the laminated film that step (3) obtains are plated to 100nm thickness respectively, is separately connected one The piezoelectric membrane with positive truncated rectangular pyramids microarray is prepared in root lead.
5. intelligent pipeline according to claim 1, which is characterized in that the positive truncated rectangular pyramids microarray of the piezoresistance layer passes through following Method preparation:
(1) PDMS is uniformly mixed with curing agent according to mass ratio 10:1, vacuum degassing bubble;
(2) PDMS for removing bubble is spin-coated in the silicon template with positive truncated rectangular pyramids microarray, silicon template size be 1cm × 1cm, freeze-day with constant temperature to film-forming, and removed from silicon template;
(3) it by 10mL 0.75mg/mL graphene solution drop coating to the surface PDMS and gold electrode surfaces with microarray, and dries It is dry, it draws a lead on the surface of graphene respectively, obtains the piezoresistance layer with positive truncated rectangular pyramids microarray.
CN201910764283.XA 2019-08-19 2019-08-19 A kind of intelligent pipeline of fluid inspection Pending CN110456097A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910764283.XA CN110456097A (en) 2019-08-19 2019-08-19 A kind of intelligent pipeline of fluid inspection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910764283.XA CN110456097A (en) 2019-08-19 2019-08-19 A kind of intelligent pipeline of fluid inspection

Publications (1)

Publication Number Publication Date
CN110456097A true CN110456097A (en) 2019-11-15

Family

ID=68487606

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910764283.XA Pending CN110456097A (en) 2019-08-19 2019-08-19 A kind of intelligent pipeline of fluid inspection

Country Status (1)

Country Link
CN (1) CN110456097A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111562301A (en) * 2020-02-25 2020-08-21 天津大学 Method for online monitoring defects of gas insulation power transmission pipeline

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1818664A (en) * 2005-02-07 2006-08-16 清华大学 Microdiaphragm accelerating sensor with nanometer materials
CN204286650U (en) * 2014-12-24 2015-04-22 广东省自动化研究所 A kind of piezoelectricity pressure drag composite and flexible force-sensing sensor
US20150226618A1 (en) * 2014-02-10 2015-08-13 Texas Instruments Incorporated Piezoelectric thin-film sensor and use thereof
CN106872727A (en) * 2017-01-18 2017-06-20 清华大学 A kind of self-powered acceleration transducer and its manufacture method based on piezoresistive effect
CN107655596A (en) * 2017-08-31 2018-02-02 浙江理工大学 A kind of gravity sensor
CN110426063A (en) * 2019-08-19 2019-11-08 浙江工业大学 A kind of double mode sensor and its application in detection pressure and strain path
CN210604681U (en) * 2019-08-19 2020-05-22 浙江工业大学 Intelligent pipeline of fluid monitoring

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1818664A (en) * 2005-02-07 2006-08-16 清华大学 Microdiaphragm accelerating sensor with nanometer materials
US20150226618A1 (en) * 2014-02-10 2015-08-13 Texas Instruments Incorporated Piezoelectric thin-film sensor and use thereof
CN204286650U (en) * 2014-12-24 2015-04-22 广东省自动化研究所 A kind of piezoelectricity pressure drag composite and flexible force-sensing sensor
CN106872727A (en) * 2017-01-18 2017-06-20 清华大学 A kind of self-powered acceleration transducer and its manufacture method based on piezoresistive effect
CN107655596A (en) * 2017-08-31 2018-02-02 浙江理工大学 A kind of gravity sensor
CN110426063A (en) * 2019-08-19 2019-11-08 浙江工业大学 A kind of double mode sensor and its application in detection pressure and strain path
CN210604681U (en) * 2019-08-19 2020-05-22 浙江工业大学 Intelligent pipeline of fluid monitoring

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王有岩: "压电/压阻双模式柔性压力传感器动/静力学信息检测", 中国优秀硕士学位论文全文数据库(电子期刊), 29 February 2020 (2020-02-29) *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111562301A (en) * 2020-02-25 2020-08-21 天津大学 Method for online monitoring defects of gas insulation power transmission pipeline

Similar Documents

Publication Publication Date Title
CN100451442C (en) Chaos analysis and micro-processor based conduit pipe micro-leakage diagnosing method and device
CN107066736B (en) Modal analysis and structural impact monitoring method based on compressive sampling
CN108387249B (en) Super-high sensitive bionic flexible nano sensor
CN107590321A (en) A kind of overall measuring method of pipe vibration response
Vankov et al. Assessment of the condition of pipelines using convolutional neural networks
Pagoli et al. Large-area and low-cost force/tactile capacitive sensor for soft robotic applications
CN210604681U (en) Intelligent pipeline of fluid monitoring
CN107013813A (en) A kind of water supply line amount of leakage estimating system and method
Li et al. A multiscale flexible pressure sensor based on nanovesicle-like hollow microspheres for micro-vibration detection in non-contact mode
CN110456097A (en) A kind of intelligent pipeline of fluid inspection
CN109900199A (en) A kind of bending sensor structure and method for pipeline deformation detection
Xue et al. Dynamical lag correlation exponent based method for gas–solid flow velocity measurement using twin-plane electrical capacitance tomography
Yang et al. Bolt preload monitoring based on percussion sound signal and convolutional neural network (CNN)
Senjoba et al. One-Dimensional Convolutional Neural Network for Drill Bit Failure Detection in Rotary Percussion Drilling
Arabi et al. Detection of volatile organic compounds by using MEMS sensors
Schotzko et al. Embedded strain gauges for condition monitoring of silicone gaskets
Li et al. A p− V diagram based fault identification for compressor valve by means of linear discrimination analysis
CN208432512U (en) A kind of inefficient water circulation evolutionary process decompression test simulation system
Xia et al. Current development of bionic flexible sensors applied to marine flow field detection
Zhu et al. Failure analysis and intelligent identification of critical friction pairs of an axial piston pump
Zhang et al. Design, analysis and experiment of a tactile force sensor for underwater dexterous hand intelligent grasping
Zhu et al. Wind turbine blade defect detection based on acoustic features and small sample size
Yu et al. Dual-mode sensor for intelligent solution monitoring: Enhancing sensitivity and recognition accuracy through capacitive and triboelectric sensing
Dave et al. Inference of Gas-liquid Flowrate using Neural Networks
Pan et al. A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion

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