WO2023197517A1 - 基于分布式光纤的子弹罐应变和温度智能监测系统及方法 - Google Patents

基于分布式光纤的子弹罐应变和温度智能监测系统及方法 Download PDF

Info

Publication number
WO2023197517A1
WO2023197517A1 PCT/CN2022/117757 CN2022117757W WO2023197517A1 WO 2023197517 A1 WO2023197517 A1 WO 2023197517A1 CN 2022117757 W CN2022117757 W CN 2022117757W WO 2023197517 A1 WO2023197517 A1 WO 2023197517A1
Authority
WO
WIPO (PCT)
Prior art keywords
temperature
strain
distributed
collector
data
Prior art date
Application number
PCT/CN2022/117757
Other languages
English (en)
French (fr)
Inventor
蒋俊
王相超
范磊
孙敬庭
刘杰
刘长沙
邓浩吉
陈晓蓉
张新明
徐艳红
黄益平
Original Assignee
中建安装集团有限公司
中建五洲工程装备有限公司
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 中建安装集团有限公司, 中建五洲工程装备有限公司 filed Critical 中建安装集团有限公司
Publication of WO2023197517A1 publication Critical patent/WO2023197517A1/zh

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • G01B11/18Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge using photoelastic elements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K11/00Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
    • G01K11/32Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
    • G01K11/324Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres using Raman scattering
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • G01L1/24Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet
    • G01L1/242Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet the material being an optical fibre
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G01N3/10Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces generated by pneumatic or hydraulic pressure
    • G01N3/12Pressure testing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces

Definitions

  • the invention belongs to the technical field of bullet tank strain and temperature monitoring, and in particular relates to an intelligent bullet tank strain and temperature monitoring system and method based on distributed optical fibers.
  • Bullet tanks refer to horizontal earth-covered LPG pressure storage tanks, used to store liquefied petroleum gas.
  • bullet tanks are widely used abroad and are still in the promotion stage in China. They are mainly used to replace spherical tanks and improve intrinsic safety.
  • the bullet tank is directly located on the sand bed.
  • the surface of the tank is covered with soil. Only the settlement monitoring board, air chamber, process pipe interface and other facilities are reserved outside the soil. It is impossible to accurately observe the status of the bullet tank from the status of the above facilities. the entire operating status.
  • the main cause of the common liquefied hydrocarbon storage container "Domino" accident is explosive fragments. Therefore, in order to ensure that adjacent bullet tanks are not damaged, the thickness of the soil covering the tank surface is usually controlled to more than half a meter, which makes it impossible to use conventional methods. Observing and monitoring the condition of the tank surface cannot prevent potential safety hazards of the tank itself. Moreover, using the traditional method (settlement monitoring board) to observe the settlement of the bullet tank is only a rough observation and cannot achieve accurate and overall monitoring.
  • the present invention provides an intelligent monitoring system and method for bullet tank strain and temperature based on distributed optical fiber, which monitors the surface and surrounding conditions of the bullet tank through distributed strain, temperature optical cables and earth pressure gauges. Monitoring, constructing a cloud image of the surface status of the bullet tank, accurately locating the area where the situation occurs, and providing real-time warning, effectively solving the problem that existing monitoring methods cannot prevent the safety hazards of the tank itself.
  • the present invention achieves the above technical objectives through the following technical means.
  • An intelligent monitoring method for bullet tank strain and temperature based on distributed optical fibers including the following steps:
  • Step 1 Use the numerical simulation system to establish a 1:1 simulation model of the bullet tank and the underlying soil layer in the finite element software, and conduct simulations under different working conditions to determine the range of changes in temperature, stress and strain, which can be used as an on-site control system for monitoring the initial range;
  • Step 2 Starting from the head of the bullet tank, lay out distributed strain optical cables and distributed temperature optical cables in a "meter" shape; lay out multiple earth pressure gauges at a depth of 20 to 80cm directly below the location of the bullet tank. , and then place the bullet tank with the optical cable laid out on the sand bed foundation;
  • Step 3 The distributed temperature optical cable collects temperature data and collects it to the temperature collector, the distributed strain optical cable collects the stress and strain data and collects it to the strain collector, and the earth pressure gauge collects the basic value of earth pressure and collects it to the earth pressure collector; the data of each collector are transmitted to the on-site control system for comparison and analysis to determine whether it is within the initial range; if it is not within the initial range, adjust the initial range of the on-site control system and correct the simulation module of the numerical simulation system; at the same time, the relevant data collected by each collector All are transmitted to the central control display screen;
  • Step 4 Conduct a hydraulic test on the bullet tank. Based on the data collected by the strain collector and earth pressure collector, the on-site control system further refines and corrects the strain monitoring range; at the same time, the water temperature data in the bullet tank and the temperature collector are The collected data are compared to obtain the temperature difference between the inside and outside of the bullet tank, which can be used as a correction value for other subsequent tests;
  • Step 5 Conduct a filling test on the bullet tank, monitor the surface temperature of the bullet tank through a distributed temperature optical cable, and establish a relationship with the filling speed, monitor the surface strain of the bullet tank through a distributed strain optical cable, and correlate it with the filling amount Establish a connection and then establish a temperature compensation relationship for strain conditions;
  • Step 6 Carry out a bullet tank leakage simulation test, control the valve to the minimum opening and closing degree when discharging, and observe the temperature changes of the temperature collector and the strain changes of the strain collector; the data of the temperature collector and strain collector If there is no change, adjust the accuracy of the corresponding collector, and at the same time adjust the control accuracy of the on-site control system in the event of leakage;
  • Step 7 Turn on the intelligent identification mode of the on-site control system to carry out intelligent monitoring work; first control each collector to perform trial collection, compare the collected data with the data range stored internally in the on-site control system, and select the closest one as the data collection conditions, and issues instructions to each collector to adjust the collection accuracy under current conditions; at the same time, the numerical simulation system makes corresponding adjustments based on the conditions selected by the on-site control system;
  • the adjusted numerical simulation system forms a temperature and strain cloud diagram based on the data transmitted by the on-site control system.
  • the on-site control system transmits various monitoring data and cloud diagram data to the central control display for display; the on-site control system combines the collected data with the internal storage
  • the initial range is compared in real time, and when the detection data exceeds the range, a warning message is sent to the central control display;
  • T represents the temperature
  • T C represents the ambient temperature at the location of the distributed temperature optical cable
  • R represents the radius of the bullet tank
  • ⁇ 1 represents the thermal diffusion coefficient of the soil
  • ⁇ 2 represents the thermal diffusion coefficient of the tank
  • L represents the adjacent distributed The radial distance of the temperature optical cable
  • r represents the shortest distance from the leakage point to the distributed temperature optical cable measurement point or the distance from the distributed temperature optical cable measurement point to the inside of the tank.
  • step 7 the position of the lowest temperature point is first determined by collecting data collected by the distributed temperature optical cable, and the approximate position of the leakage point is fuzzy determined; and then the temperature of the two measurement points above and below the lowest temperature point is calculated through a numerical simulation system. Compare the values, select the second-lowest temperature closer to the lowest temperature for calculation, and obtain the ratio relationship between the lowest temperature and the second-lowest temperature; finally, according to the formula of temperature and distance, through the known distance between the lowest temperature point and the second-lowest temperature point and the ratio of the lowest temperature to the next lowest temperature, the distance between the leakage point and the lowest temperature point can be calculated, thereby determining the exact location of the leakage point.
  • the numerical simulation system has also been updated; in the formula, ⁇ deviation represents the strain deviation, ⁇ j represents the thermal expansion coefficient of the tank, ⁇ b represents the thermal expansion coefficient of the distributed strain optical cable, ⁇ t represents the temperature change value, ⁇ represents the distributed strain optical cable The temperature-strain coefficient, K represents the sensitivity coefficient of the distributed strain optical cable, ⁇ represents the actual strain value, and ⁇ represents the measured strain value.
  • step 2 when laying out the optical cable, first use a brush to apply a layer of epoxy resin primer adhesive on the optical cable laying path to improve the adhesion of the optical cable, and then lay it straight in the primer area Optical cable to avoid bending of the optical cable. After the layout is completed, brush another layer of adhesive on the upper part of the optical cable to make the optical cable fully fit with the bullet tank. After the curing strength of the adhesive reaches more than 50%, stick it on its surface.
  • step 2 to lay out the earth pressure meter, first groove the sand bed foundation and fix the earth pressure meter on the keel, and then install each earth pressure meter (note: the earth pressure in the central wavelength band (only one meter can be arranged to avoid data interference) weld in series, and the leads are fixed on the keel frame. Then place the keel frame with multiple earth pressure gauges fixed on the sand bed foundation, and connect the other end of the earth pressure gauge to the lead wire. to the surface to form a loop; finally, use an earth pressure collector to check whether the condition of the earth pressure gauge is intact. After confirming that it is intact, backfill is performed. After the backfill is completed, the exposed leads are protected.
  • each earth pressure meter note: the earth pressure in the central wavelength band (only one meter can be arranged to avoid data interference
  • step 6 the collector turns on the built-in measurement signal amplifier and transmits the amplified data to the on-site control system.
  • the on-site control system calls the data range of the leakage simulation in the numerical simulation system to amplify it by the same multiple and perform comparison control.
  • step 7 for other untested or unsimulated working conditions, the on-site control system collects data and sends it to the numerical simulation system.
  • the numerical simulation system simulates based on the existing data and gives the working conditions.
  • the temperature and strain data range of the bullet tank under the conditions are fed back to the on-site control system.
  • the on-site control system establishes a new working condition monitoring mode; in response to the damage of some optical cables, the distributed strain and temperature optical cables automatically switch from " Switch from "loop mode” to "unidirectional mode” and continue to collect temperature and strain data.
  • distributed optical fiber bullet tank strain and temperature intelligent monitoring methods including distributed strain optical cables, distributed temperature optical cables, earth pressure gauges, temperature collectors, strain collectors, earth pressure collectors, and on-site control system, central control room display screen and numerical simulation system;
  • the bullet tank is located on the sand bed foundation, with a covering layer of soil on the surface;
  • the distributed strain optical cables are all connected to the signal of the strain collector, the distributed temperature optical cables are all connected to the signal of the temperature collector, the earth pressure gauges are all connected to the signal of the earth pressure collector; the temperature collector, strain collector, and earth pressure collector are all connected to the signal On-site control system signal connection, the on-site control system is the receiving end and transmitting end of data.
  • the on-site control system is also connected with the central control room display screen and numerical simulation system signal connection for data communication;
  • the central control room display screen displays the data information collected by each collector, and at the same time displays the operating data of the bullet tank;
  • the numerical simulation system serves as the central processor of the entire intelligent monitoring system, simulating the temperature of the bullet tank under various working conditions. and strain data range, and sends them to the on-site control system.
  • the temperature and strain data ranges are independently updated in real time.
  • the distributed strain optical cable includes a micro fixed-point distributed strain sensing optical cable and a carbon fiber composite-based strain sensing optical cable, which are evenly distributed on the surface of the bullet tank.
  • the distributed temperature optical cables are all plastic-armored distributed temperature sensing optical cables
  • the earth pressure gauge is a fiber grating earth pressure gauge
  • the strain collector is a loop-type high-precision distributed strain collector, which uses light scattering and reflection. The principle combines the relationship between strain and temperature to monitor the stress and strain on the surface of the bullet tank at different operating temperatures
  • the temperature collector is a distributed fiber optic temperature collector, which continuously monitors the bullet tank through the principle of Raman scattering combined with optical time domain reflection technology.
  • the earth pressure collector is a portable earth pressure data demodulator, which senses pressure changes through changes in the wavelength of light and monitors the stability of the sand bed foundation under the bullet tank.
  • the present invention uses finite element software to simulate the bullet tank under various conditions to determine the corresponding temperature and stress change range.
  • the targeted layout of distributed temperature and strain optical cables solves the current problem of a single way to observe and monitor the status of the bullet tank, and can comprehensively and holistically monitor the status of the bullet tank; the invention can target bullet tanks of different sizes
  • the bullet tank performs temperature and strain simulation under different conditions and performs targeted monitoring, which has a wide range of application prospects.
  • the present invention uses temperature optical cables, strain optical cables and earth pressure gauges to monitor the temperature and stress strain of bullet tanks to achieve "three-in-one" monitoring. At the same time, data such as temperature, strain, and earth pressure values can be referenced by each other. , jointly provide early warning of the status of the bullet tank.
  • the on-site control system of the present invention can intelligently identify the operating conditions of the storage tank, and independently select the measurement frequency, control range and accuracy requirements for temperature, stress strain and earth pressure values, and at the same time issue the accuracy requirements to various data collectors.
  • Each data collector adjusts the collection accuracy by itself; the collected data is transmitted to the numerical simulation system through the on-site control system, and the numerical simulation system forms the temperature, stress and strain cloud diagram of the bullet tank; after the central control display screen receives the data from the on-site control system , alternately display various data values and data cloud diagrams.
  • the early warning prompt of the present invention will sound on the central control display screen, on-site control system, numerical simulation system and data collector at the same time, and the position on the tank that exceeds the early warning will be displayed on the screen, and the on-site control system will display in full screen .
  • Figure 1 is a schematic diagram of the intelligent monitoring system according to the present invention.
  • connection should be understood in a broad sense.
  • connection can be an integral connection, a direct connection, an indirect connection through an intermediate medium, or two elements. Internal communication;
  • connection can be an integral connection, a direct connection, an indirect connection through an intermediate medium, or two elements. Internal communication;
  • connection can be understood according to specific circumstances.
  • the bullet tank strain and temperature intelligent monitoring system based on distributed optical fiber includes a bullet tank body 1, a distributed strain optical cable 2, a distributed temperature optical cable 3, an earth pressure gauge 4, and a temperature acquisition system. 5, strain collector 6, earth pressure collector 7, on-site control system 8, central control room display 9 and numerical simulation system 10.
  • the bullet tank 1 is located on the sand bed foundation 11, and the surface of the bullet tank 1 is covered with a covering layer 12.
  • the distributed strain optical cables 2 include micro fixed-point distributed strain sensing optical cables and carbon fiber composite-based strain sensing optical cables, which are evenly distributed. It is laid on the surface of the bullet tank 1 to ensure that the distributed strain optical cable 2 is distributed in a "meter" shape at the head of the bullet tank 1.
  • the four distributed temperature optical cables 3 are all plastic-sealed and armored distributed temperature sensing optical cables, which are evenly distributed at 8 different positions on the surface of the bullet tank 1 to ensure that the distributed temperature optical cables 3 are sealed in the bullet tank 1
  • the head position is distributed in a "meter" shape.
  • Each distributed strain optical cable 2 and distributed temperature optical cable 3 at the head position form a loop of its own, that is, for the same point, two sets of data can be monitored, and subsequently they are jointly transmitted to the on-site control system 8 through the corresponding collector. Corresponding self-comparison.
  • multiple earth pressure gauges 4 are arranged in the sand bed foundation 11 at a depth of 20 to 80 cm directly below the bullet tank 1.
  • the soil pressure gauges 4 are fiber grating earth pressure gauges. By sensing the soil stress and the bullet The change in the contact pressure between the tank 1 structure and the soil reflects the stability of the sand bed foundation 11 at the bottom of the bullet tank 1 .
  • All distributed strain optical cables 2 are signally connected to the strain collector 6.
  • the strain collector 6 is used to collect the strain data detected by the distributed strain optical cable 2; the strain collector 6 is a loop-type high-precision distributed strain collector.
  • the scattering and reflection principles are combined with the relationship between strain and temperature to effectively monitor the strain on the surface of the bullet tank 1 under different operating temperatures.
  • All distributed temperature optical cables 3 are signally connected to the temperature collector 5.
  • the temperature collector 5 is used to collect the temperature data detected by the distributed temperature optical cable 3; the temperature collector 5 is a distributed optical fiber temperature collector, which uses Raman scattering The principle combines optical time domain reflection technology to continuously monitor the temperature at any point on the surface of the bullet tank 1, and combines with the distributed temperature optical cable 3 to form an overall temperature monitoring unit for the surface of the bullet tank 1.
  • the earth pressure gauges 4 are all connected to the earth pressure collector 7 with signals.
  • the earth pressure collector 7 is used to collect the soil stress detected by the earth pressure gauge 4 and the contact pressure data between the bullet tank 1 structure and the soil;
  • the earth pressure collector 7 Device 7 is a portable earth pressure data demodulator, which senses pressure changes through changes in the wavelength of light and monitors the stability of the sand bed foundation 11 at the bottom of the bullet tank 1.
  • the temperature collector 5, strain collector 6, and earth pressure collector 7 are all signally connected to the on-site control system 8.
  • the on-site control system 8 is the receiving end and transmitting end of data.
  • the on-site control system 8 also It is connected to the central control room display screen 9 and the numerical simulation system 10 for signal communication for data communication.
  • the central control room display screen 9 is used to display data information collected by various data collection equipment, and at the same time display the operation data of the bullet tank 1, so as to conduct data verification and facilitate the supervision of construction personnel.
  • the numerical simulation system 10 simulates the temperature and strain data range of the bullet tank 1 under various working conditions, and sends it to the on-site control system 8. At the same time, according to the on-site control system 8 and The data comparison situation on the display screen 9 of the central control room is independently updated in real time in the range of temperature and strain data.
  • the method for intelligent monitoring of bullet tank strain and temperature using the above distributed optical fiber-based bullet tank strain and temperature intelligent monitoring system specifically includes the following steps:
  • Step 1 The numerical simulation system 10 establishes a 1:1 simulation model in the finite element software based on the size data of the bullet tank 1, and conducts empty tank, hydraulic pressure test, filling test, earthquake, and leakage tests on the bullet tank 1 Simulate under severe weather and other conditions to determine the corresponding temperature, stress and strain change ranges as the initial range for monitoring by the on-site control system 8;
  • Step 2 Based on the temperature, stress and strain distribution simulated by the finite element software and the on-site monitoring conditions, starting from the head of the bullet tank 1, lay the distributed strain optical cable 2 and the distributed temperature optical cable in a "meter" shape 3. Achieve full monitoring coverage of the surface of the bullet tank 1; when laying out the optical cable, first use a brush to apply a layer of epoxy resin primer adhesive on the optical cable routing path to improve the adhesion of the optical cable, and then apply Lay the optical cable straightly in the adhesive area to avoid bending of the optical cable.
  • Step 3 Use the laser transmitter to check whether the distributed strain optical cable 2 and the distributed temperature optical cable 3 laid in step 2 are connected; if not, you need to first find the optical fiber breakpoint (one cable) through the distributed optical fiber collectors 5 and 6 There should not be more than 5 breakpoints on the optical fiber, otherwise the quality of the measurement data will be affected), and remove the glue on the surface of the fiber at the breakpoints, then weld the breakpoints, then apply glue, and finally provide relevant protection; then proceed to step 4. Otherwise, rearrange;
  • Step 4 After all the optical cables are laid out, lay out multiple earth pressure gauges 4 at a depth of 20 to 80cm directly below the location of the bullet tank 1.
  • the earth pressure gauge 4 When laying out the earth pressure gauges 4, first groove the sand bed foundation and place the The earth pressure gauge 4 is fixed on the keel frame, and then each earth pressure gauge 4 (it should be noted that only one earth pressure gauge in the central wavelength band can be arranged to avoid data interference) is welded in series, and the leads are fixed on the keel frame, and then the The keel frame that has fixed multiple earth pressure gauges 4 is placed in the sand bed foundation 11, and the other end of the earth pressure gauge 4 is connected to the lead wire to the surface to form a loop; finally, the earth pressure collector 7 is used to check whether the status of the soil pressure gauge 4 is Intact, backfill after confirming the integrity, and protect the exposed leads after backfilling.
  • Step 5 Place the bullet tank 1 with the optical cable layout completed on the sand bed foundation 11;
  • Step 6 After the placement of the bullet tank 1 is completed, collect the surface temperature of the bullet tank 1 through the distributed temperature optical cable 3 and collect it to the temperature collector 5, and correct and calibrate the accuracy and accuracy of the temperature collector 5; through the distribution
  • the type strain optical cable 2 collects the strain data on the surface of the bullet tank 1 and collects it to the strain collector 6, which is determined as the basic data of the surface strain of the bullet tank 1.
  • the accuracy of the strain collector 6 is adjusted to reduce the probability of false alarms and ensure that the On-site requirements: collect the basic earth pressure value at the bottom of the bullet tank 1 through the earth pressure gauge 4 and collect it to the earth pressure collector 7 as a reference value for subsequent work;
  • Step 7 The data collected by the temperature collector 5, the strain collector 6, and the earth pressure collector 7 are transmitted to the on-site control system 8 through radio frequency technology.
  • the built-in comparison module of the on-site control system 8 performs comparison and analysis to determine whether the Within the initial range; if not within the initial range, adjust the initial range of the on-site control system 8 and correct the simulation module of the numerical simulation system 10; at the same time, the relevant data of the bullet tank 1 collected by each collector are wirelessly transmitted to the center Displayed on the control room display screen 9;
  • Step 8 Conduct an actual hydraulic pressure test on the bullet tank 1, collect the strain data of the bullet tank 1 through the strain collector 6, and collect the earth pressure data at the bottom of the bullet tank 1 through the earth pressure collector 7.
  • the on-site control system 8 further The strain monitoring range stored inside is refined and corrected; at the same time, the water temperature data in the bullet tank 1 is compared with the data collected by the temperature collector 5 to obtain the temperature difference between the inside and outside of the bullet tank 1 as a basis for other subsequent tests. correction value;
  • Step 9 Carry out the actual filling test of the bullet tank 1, monitor the temperature data on the surface of the bullet tank 1 through the distributed temperature optical cable 3, and establish a connection with the filling speed, and monitor the bullet tank through the distributed strain optical cable 2 1.
  • the temperature-gauge coefficient of the strained optical cable 2 is expressed in the formula, K represents the sensitivity coefficient of the distributed strained optical cable 2, ⁇ represents the actual strain value, and ⁇ represents the measured strain value.
  • Step 10 Carry out a leakage simulation test of the bullet tank 1.
  • control the valve to the minimum opening and closing degree, and observe the temperature changes of the temperature collector 5 and the strain changes of the strain collector 6; if If the temperature collector 5 and the strain collector 6 do not change, the accuracy of the corresponding collector will be adjusted, and at the same time the control accuracy of the on-site control system 8 in the case of leakage will be adjusted; specifically, the collector will turn on the built-in measurement signal amplifier to The amplified data is transmitted to the on-site control system 8.
  • the on-site control system 8 will call the data range of the leakage simulation in the numerical simulation system 10 to amplify it by the same factor and then perform comparison control.
  • Step 11 After passing the above tests and simulations, the on-site control system 8 has completed confirmation of the temperature and strain monitoring range under various conditions. The approximation of the temperature and strain simulation of the numerical simulation system 10 to the actual situation has been improved, and the on-site can be started. The intelligent recognition mode of the control system 8 is used to perform intelligent monitoring work.
  • Step 12 The on-site control system 8 first controls the temperature collector 5, the strain collector 6 and the earth pressure collector 7 to conduct trial collection, compares the collected data with the data range stored internally in the on-site control system 8, and selects the closest as the data collection condition, and sends instructions to each collection device to adjust the collection accuracy under the current conditions; after receiving the relevant instructions, each collection device automatically adjusts the collection accuracy and officially starts to collect the data of the bullet tank 1 in real time.
  • the numerical simulation system 10 also makes corresponding adjustments according to the conditions selected by the on-site control system 8;
  • the adjusted numerical simulation system 10 forms the temperature and strain cloud diagram of the bullet tank 1 based on the data transmitted from the on-site control system 8.
  • the on-site control system 8 transmits various monitoring data and the cloud diagram data formed by the numerical simulation system 10 to the central control room for display. It is displayed on the screen 9 for real-time viewing by on-site personnel to facilitate understanding of various conditions of the bullet tank 1.
  • the on-site control system 8 selects the most extreme existing conditions to control each collector to collect temperature and strain data, and at the same time compares the collected data with the internally stored initial range; when When the detection data exceeds the range, a warning message is transmitted to the central control room display 9 to remind relevant personnel to pay attention;
  • the on-site control system 8 collects data and sends it to the numerical simulation system 10.
  • the numerical simulation system 10 simulates based on the existing data and provides the bullet tank 1 under the working conditions.
  • the range of temperature and strain data is fed back to the on-site control system 8.
  • the on-site control system 8 establishes a new working condition monitoring mode.
  • the distributed strain optical cable 2 and the distributed temperature optical cable 3 automatically switch from “loop type” to "unidirectional", and can also collect temperature or strain data.
  • the present invention limits the temperature not to change with time according to the actual situation, simplifies the parameter conditions, assigns values to the range and distance at the same time, and simultaneously considers the influence of the tank and the soil on the temperature according to the actual situation, using the following formula (1) Locate the leakage location:
  • T represents the temperature
  • T C represents the ambient temperature at position 3 of the distributed temperature optical cable
  • R represents the radius of the bullet tank 1
  • ⁇ 1 represents the thermal diffusion coefficient of the soil
  • ⁇ 2 represents the thermal diffusion coefficient of the tank
  • L represents the adjacent The radial distance of the distributed temperature optical cable 3
  • r represents the shortest distance from the leakage point to the measurement point of the distributed temperature optical cable 3 or the distance from the measurement point of the distributed temperature optical cable 3 to the inside of the tank.
  • the position of the lowest temperature point is first determined by collecting data collected by the distributed temperature optical cable 3, and the approximate location of the leakage point is fuzzy determined; then the temperature values of the two measurement points above and below the lowest temperature point are compared through the numerical simulation system 10 , select the second-lowest temperature closer to the lowest temperature for calculation, in which the lowest temperature and the second-lowest temperature are calculated according to formula (1) to obtain the ratio relationship between the lowest temperature and the second-lowest temperature; finally, according to the formula of temperature and distance ( 1), through the known distance between the lowest temperature point and the next lowest temperature point and the ratio of the lowest temperature to the next lowest temperature, the distance between the leakage point and the lowest temperature point can be calculated, thereby determining the exact location of the leakage point.
  • the temperature is limited to be only related to the distance according to the actual situation, thereby improving the calculation accuracy and calculation speed of the leakage point position.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Immunology (AREA)
  • Computer Hardware Design (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Pathology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Examining Or Testing Airtightness (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

一种基于分布式光纤的子弹罐应变和温度智能监测系统,通过在子弹罐体(1)表面布设分布式应变、温度光缆(2,3),在子弹罐体(1)下方土层中布置压力计(4),进而实现对子弹罐体(1)表面及周围状态进行监测,检测数据通过采集器(5,6)汇总后传递至现场控制系统(8),现场控制系统(8)还分别与数值模拟系统(10)以及中控显示屏(9)进行数据通信。还公开了基于分布式光纤的子弹罐应变和温度智能监测方法,数值模拟系统(10)利用有限元软件对子弹罐体(1)与下方土层进行模拟仿真,确定相应的温度和应力变化范围,传输给现场控制系统(8),基于此与检测数据进行对比,实现监测预警,同时构建出子弹罐体(1)表面状态的云图,精确定位发生状况的区域,有效解决现有监测方法无法对罐体本身安全隐患进行预防的问题。

Description

基于分布式光纤的子弹罐应变和温度智能监测系统及方法 技术领域
本发明属于子弹罐应变和温度监测技术领域,尤其涉及一种基于分布式光纤的子弹罐应变和温度智能监测系统及方法。
背景技术
子弹罐指的是卧式覆土LPG压力储罐,用来存储液化石油气,目前子弹罐在国外应用比较广泛,国内还处在推广阶段,主要用来替代球罐,提高本质安全性。
子弹罐是直接坐落在沙床基础上的,罐体表面都用土覆盖,只有沉降监测板、气室、工艺管接口等设施预留在土外,无法从上述设施的状态准确观察到子弹罐的整个运行状态。常见液化烃储存容器“多米诺”事故的主要诱因是爆炸碎片,因此,为了保证相邻的子弹罐不遭到破坏,通常将罐体表面的覆土厚度控制在半米以上,这就无法通过常规方法观察、监测罐体表面的情况,不能对罐体本身的安全隐患进行预防。况且,采用传统方法(沉降监测板)观察子弹罐体沉降,也是粗略地观察,无法做到精确、整体监测。
发明内容
针对现有技术中存在不足,本发明提供了一种基于分布式光纤的子弹罐应变和温度智能监测系统及方法,通过分布式应变、温度光缆和土压力计对子弹罐体表面及周围状态进行监测,构建出子弹罐体表面状态的云图,精确定位发生状况的区域,实时预警,有效解决现有监测方法无法对罐体本身安全隐患进行预防的问题。
本发明是通过以下技术手段实现上述技术目的的。
一种基于分布式光纤的子弹罐应变和温度智能监测方法,包括如下步骤:
步骤1:利用数值模拟系统在有限元软件中建立子弹罐体与下方土层1:1仿真模型,并进行不同工况条件下的模拟,确定温度、应力和应变变化范围,作为现场控制系统监测的初始范围;
步骤2:从子弹罐体的封头处开始,呈“米”字型布设分布式应变光缆和分布式温度光缆;在子弹罐体落位位置正下方的20~80cm深度布设多个土压力计,再将完成光缆布设的子弹罐体落位到沙床基础上;
步骤3:分布式温度光缆采集温度数据汇集到温度采集器,分布式应变光缆采集应力应变数据汇集到应变采集器,土压力计采集土压力基础值汇集到土压力采集器;各采集器的数据均传输至现场控制系统中进行比对分析,判断是否在初始范围内;不在初始范围内,则调整现场控制系统的初始范围,修正数值模拟系统的模拟模块;同时,各采集器采集的相关数据均传输到中控显示屏上显示;
步骤4:对子弹罐体进行水压试验,根据应变采集器以及土压力采集器采集的数据,现场控制系统进一步对应变监测范围进行细化修正;同时对子弹罐体内的水温数据与温度采集器采集到的数据进行比对,获取子弹罐内外的温度差,作为后续其他试验的修正值;
步骤5:对子弹罐体进行充装试验,通过分布式温度光缆监测子弹罐体表面温度,并与充装速度建立联系,通过分布式应变光缆监测子弹罐体表面应变情况,并与充装量建立联系,进而建立应变情况的温度补偿关系;
步骤6:进行子弹罐体渗漏模拟试验,在卸料时将阀门控制到最小开合度,观察温度采集器的温度变化情况和应变采集器的应变变化情况;温度采集器和应变采集器的数据未发生变化时,则调整对应采集器的精度,同时调整现场控制系统在渗漏情况下的控制精度;
步骤7:开启现场控制系统的智能识别模式,进行智能监测工作;首先控制各采集器进行试采集,将采集到的数据与现场控制系统内部存储的数据范围进行比对,选择最接近的作为数据采集条件,并向各采集器发出调整为当前条件下采集精度的指令;同时,数值模拟系统根据现场控制系统选取的条件进行对应调整;
调整后的数值模拟系统根据现场控制系统传输的数据形成温度和应变云图,现场控制系统将各项监测数据以及云图数据传输至中控显示屏上显示;现场控制系统将采集到的数据与内部存储的初始范围进行实时比对,当检测数据超出范围时,向中控显示屏传递警告信息;
针对出现渗漏的情况,利用如下公式对渗漏位置进行定位:
Figure PCTCN2022117757-appb-000001
其中,T表示温度;T C表示分布式温度光缆位置的环境温度;R表示子弹罐体的 半径;α1表示土体的热扩散系数;α2表示罐体的热扩散系数;L表示相邻分布式温度光缆的径向距离;r表示渗漏点到分布式温度光缆测量点的最短距离或分布式温度光缆测量点到罐体内部的距离。
进一步地,所述步骤7中,首先通过收集分布式温度光缆采集的数据确定最低温度点的位置,模糊确定渗漏点大概位置;然后通过数值模拟系统对最低温度点上下两个测量点的温度值进行比较,选择更接近最低温度的次低温度进行计算,获取最低温度和次低温度的比值关系;最后,根据温度与距离的公式,通过已知的最低温度点与次低温度点间距离和最低温度与次低温度的比值,即可算出渗漏点与最低温度点的距离,从而确定渗漏点的准确位置。
进一步地,所述步骤5中,根据公式
Figure PCTCN2022117757-appb-000002
ε =ε -Δε 以及测得的温度值与当前温度下的应变数据,计算出实际应变值,从而建立应变与温度的补偿关系,进而对现场控制系统的监测范围进行针对性地调整,数值模拟系统也随之更新;式中,Δε 表示应变偏差,β j表示罐体的热膨胀系数,β b表示分布式应变光缆的热膨胀系数,Δt表示温度变化值,α表示分布式应变光缆的温度-应变系数,K表示分布式应变光缆的灵敏系数,ε 表示实际应变值,ε 表示测量得到的应变值。
进一步地,所述步骤2中,布设光缆时,首先利用毛刷在光缆布设路径上涂刷一层环氧树脂底胶粘结剂,以提高光缆粘合度,然后在底胶区域平直布设光缆,避免光缆弯曲,布设完成后,在光缆上部再刷一层面胶粘结剂,使得光缆与子弹罐体充分贴合;待面胶粘结剂固化强度达到50%以上后,在其表面粘贴一层铝箔,防止后期焊渣灼损;对于光缆引线部位,利用钢丝软管保护,防止引线光缆在出线处受到破坏;光缆布设完成后,利用激光发射器检验所布设的分布式应变光缆和分布式温度光缆是否导通;如不通,需要先通过分布式光纤采集器寻找光纤断点(一根光纤上断点不宜超过5个,否则会影响测量数据质量),并去除断点处光纤表面的胶水,再对断点处进行熔接,接着涂抹胶水,最后做好相关防护。
进一步地,所述步骤2中,布设土压力计时,首先对沙床基础进行开槽,并将土压力计固定在龙骨架上,然后将各个土压力计(需要注意:中心波长段的土压力计只能布设一个,以免造成数据干扰)串联熔接,引线固定在龙骨架上,接着将已固定多个土压力计的龙骨架放置到沙床基础中,并将土压力计另一端连接引线引至地表构成回路;最 后使用土压力采集器检验土压力计的状态是否完好,确认完好后进行回填,回填结束后对外露的引线进行保护。
进一步地,所述步骤6中,采集器开启内置的测量信号放大器,将放大后的数据传输给现场控制系统,现场控制系统调用数值模拟系统中泄露模拟的数据范围放大同样倍数后进行比较控制。
进一步地,所述步骤7中,对于其他未试验或未模拟的工况条件,现场控制系统进行数据收集并发送给数值模拟系统,数值模拟系统依据现有数据进行模拟,并给出该工况条件下子弹罐体的温度和应变数据范围,反馈给现场控制系统,至此,现场控制系统建立一个新的工况条件监测模式;针对部分光缆出现破坏的情况,分布式应变、温度光缆自动从“回路式”切换到“单向式”,继续进行温度和应变数据的采集。
用于实现上述基于分布式光纤子弹罐应变和温度智能监测方法的监测系统,包括分布式应变光缆、分布式温度光缆、土压力计、温度采集器、应变采集器、土压力采集器、现场控制系统、中控室显示屏以及数值模拟系统;子弹罐体坐落在沙床基础上,表面铺设覆土层;
4条分布式应变光缆、4条分布式温度光缆都均匀布设在子弹罐体表面8个不同的位置,同一组应变和温度光缆平行紧邻布设,整体在子弹罐体封头位置呈“米”字型分布;多个土压力计串联均布在子弹罐体正下方20~80cm深的沙床基础中;
分布式应变光缆均与应变采集器信号连接,分布式温度光缆均与温度采集器信号连接,土压力计均与土压力采集器信号连接;温度采集器、应变采集器、土压力采集器均与现场控制系统信号连接,现场控制系统为数据的接收端和发送端,现场控制系统还与中控室显示屏、数值模拟系统信号连接,进行数据通信;
中控室显示屏显示各采集器采集到的数据信息,同时显示子弹罐体的运行数据;数值模拟系统作为整个智能监测系统的中央处理器,模拟出各种不同工况条件下子弹罐体的温度和应变数据范围,并下发给现场控制系统,同时根据现场控制系统和中控室显示屏的数据比对情况,自主进行温度和应变数据范围的实时更新。
进一步地,所述分布式应变光缆包括微型定点分布式应变传感光缆和碳纤维复合基应变感测光缆,均匀布设在子弹罐体的表面。
进一步地,所述分布式温度光缆均为塑封铠装分布式温度传感光缆,土压力计为光纤光栅土压力计;应变采集器为回路式高精分布应变采集器,通过光的散射与反射原理结合应变与温度的关系,监测不同工作温度下的子弹罐体表面应力应变情况;温度采集 器为分布式光纤温度采集仪,通过拉曼散射原理结合光时域反射技术,连续监测子弹罐体表面任意一点的温度;土压力采集器为便携式土压力数据解调器,通过光的波长变化感知压力变化情况,监测子弹罐体下部沙床基础的稳定性。
本发明具有如下有益效果:
(1)相较于仅凭经验在子弹罐罐顶确定几个沉降观测点的方式,本发明利用有限元软件进行子弹罐体在各种条件下的模拟仿真,确定相应的温度和应力变化范围,并有针对性的进行分布式温度和应变光缆的布设,解决了目前对子弹罐体状态观察、监测方式单一的问题,能够全面、整体的监测子弹罐体状态;本发明能够针对不同尺寸的子弹罐在不同条件下进行温度和应变模拟,并进行有针对性的监测,具有广泛的应用前景。
(2)本发明采用布设温度光缆、应变光缆和土压力计的方式对子弹罐进行温度和应力应变监测,实现“三位一体”的监测,同时温度、应变、土压力值等数据间可以互为参考,共同为子弹罐体的状态预警。
(3)本发明在子弹罐体表面布设的各种光缆和传感器都无需通电,本身也不会带电,且对子弹罐体本身无任何影响,完全满足子弹罐体安全的要求,不会对子弹罐的本质安全性造成破坏。
(4)本发明的现场控制系统能够智能识别储罐运行条件,并自主选择温度、应力应变和土压力值的测量频率、控制范围和精度要求,同时将精度要求下达给各项数据采集器,由各项数据采集器自行调整采集精度;采集的数据经现场控制系统传输给数值模拟系统,数值模拟系统形成子弹罐体的温度、应力应变云图;中控显示屏接收到现场控制系统的数据后,交替显示各项数据值和数据云图。
(5)本发明的预警提示同时会在中控显示屏、现场控制系统、数值模拟系统和数据采集器上响起,并且在屏幕上显示罐体上超出预警的位置,且现场控制系统是全屏显示。
(6)通过对傅里叶定律公式进行改进,综合泄漏点、罐内和环境温度的热辐射影响,形成温度与距离的参数方程;根据实际情况限定温度仅与距离相关,提高了泄露点位置的计算精度和计算速度。
附图说明
图1为本发明所述智能监测系统示意图。
图中:1-子弹罐体;2-分布式应变光缆;3-分布式温度光缆;4-土压力计;5-温度采集器;6-应变采集器;7-土压力采集器;8-现场控制系统;9-中控室显示屏;10-数值 模拟系统;11-沙床基础;12-覆土层。
具体实施方式
下面结合附图以及具体实施例对本发明作进一步的说明,但本发明的保护范围并不限于此。
在本发明的描述中,需要理解的是,术语“连接”等应做广义理解,例如,可以是一体的连接,可以是直接相连,也可以是通过中间媒介间接相连,还可以是两个元件内部的连通;对于本领域的普通技术人员而言,可以根据具体情况理解上述术语在本发明中的具体含义。
如图1所示,本发明所述的基于分布式光纤的子弹罐应变和温度智能监测系统,包括子弹罐体1、分布式应变光缆2、分布式温度光缆3、土压力计4、温度采集器5、应变采集器6、土压力采集器7、现场控制系统8、中控室显示屏9以及数值模拟系统10。子弹罐体1坐落在沙床基础11上,子弹罐体1表面铺设覆土层12。
如图1所示,4条分布式应变光缆2均匀布设在子弹罐体1表面8个不同位置,分布式应变光缆2包括微型定点分布式应变传感光缆和碳纤维复合基应变感测光缆,均匀布设在子弹罐体1的表面,保证分布式应变光缆2在子弹罐体1封头位置呈“米”字型分布。
如图1所示,4条分布式温度光缆3均为塑封铠装分布式温度传感光缆,均匀布设在子弹罐体1表面8个不同位置,保证分布式温度光缆3在子弹罐体1封头位置呈“米”字型分布。封头位置的每条分布式应变光缆2和分布式温度光缆3都自成回路,即对于同一个点,能够监测出两组数据,后续均通过相应的采集器共同传递到现场控制系统8进行相应的自比对。
如图1所示,子弹罐体1正下方20~80cm深度的沙床基础11中布设有多个土压力计4,该土压力计4为光纤光栅土压力计,通过感知土体应力以及子弹罐体1结构与土体的接触压力变化,反映子弹罐体1下部沙床基础11的稳定性。
所有的分布式应变光缆2均与应变采集器6信号连接,应变采集器6用于收集分布式应变光缆2检测到的应变数据;应变采集器6为回路式高精分布应变采集器,通过光的散射与反射原理结合应变与温度的关系,有效监测不同工作温度下子弹罐体1表面的应变情况。
所有的分布式温度光缆3均与温度采集器5信号连接,温度采集器5用于收集分布 式温度光缆3检测到的温度数据;温度采集器5为分布式光纤温度采集仪,通过拉曼散射原理结合光时域反射技术连续监测子弹罐体1表面任意一点的温度,结合分布式温度光缆3形成对子弹罐体1表面的整体温度监测单元。
土压力计4均与土压力采集器7信号连接,土压力采集器7用于收集土压力计4检测到的土体应力以及子弹罐体1结构与土体的接触压力数据;该土压力采集器7为便携式土压力数据解调器,通过光的波长变化感知压力变化情况,监测子弹罐体1下部沙床基础11的稳定性。
如图1所示,所述温度采集器5、应变采集器6、土压力采集器7均与现场控制系统8信号连接,现场控制系统8为数据的接收端和发送端,现场控制系统8还与中控室显示屏9、数值模拟系统10信号连接,进行数据通信。
中控室显示屏9用于显示各种数据采集设备采集到的数据信息,同时显示子弹罐体1的运行数据,从而进行数据核对,便于施工人员监管。
数值模拟系统10作为整个智能监测系统的中央处理器,模拟出各种不同工况条件下子弹罐体1的温度和应变数据范围,并下发给现场控制系统8,同时根据现场控制系统8和中控室显示屏9的数据比对情况,自主进行温度和应变数据范围的实时更新。
利用上述基于分布式光纤的子弹罐应变和温度智能监测系统进行子弹罐应变和温度智能监测的方法,具体包括如下步骤:
步骤1:数值模拟系统10根据子弹罐体1的尺寸数据,在有限元软件中建立1:1仿真模型,并对子弹罐体1进行空罐、水压试验、充装试验、地震、渗漏和恶劣天气等条件下的模拟,确定相应的温度、应力和应变变化范围,作为现场控制系统8监测的初始范围;
步骤2:根据有限元软件模拟得到的温度、应力和应变分布情况以及现场监测条件,从子弹罐体1的封头处开始,呈“米”字型布设分布式应变光缆2和分布式温度光缆3,实现对子弹罐体1表面的监测全覆盖;布设光缆时,首先利用毛刷在光缆布设路径上涂刷一层环氧树脂底胶粘结剂,以提高光缆粘合度,然后在底胶区域平直布设光缆,避免光缆弯曲,布设完成后,在光缆上部再刷一层面胶粘结剂,使得光缆与子弹罐体1充分贴合;待面胶粘结剂固化强度达到50%以上后,在其表面粘贴一层铝箔,防止后期焊渣灼损;对于光缆引线部位,利用钢丝软管保护,防止引线光缆在出线处受到破坏。
步骤3:利用激光发射器检验步骤2中所布设的分布式应变光缆2和分布式温度光缆3是否导通;如不通,需要先通过分布式光纤采集器5和6寻找光纤断点(一根光纤 上断点不宜超过5个,否则会影响测量数据质量),并去除断点处光纤表面的胶水,再对断点处进行熔接,接着涂抹胶水,最后做好相关防护;然后进入步骤4,否则重新布设;
步骤4:光缆全部布设完成后,在子弹罐体1落位位置正下方的20~80cm深度布设多个土压力计4;布设土压力计4时,首先对沙床基础进行开槽,并将土压力计4固定在龙骨架上,然后将各个土压力计4(需要注意:中心波长段的土压力计只能布设一个,以免造成数据干扰)串联熔接,引线固定在龙骨架上,接着将已固定多个土压力计4的龙骨架放置到沙床基础11中,并将土压力计4另一端连接引线引至地表构成回路;最后使用土压力采集器7检验土压力计4的状态是否完好,确认完好后进行回填,回填结束后对外露的引线进行保护。
步骤5:将完成光缆布设的子弹罐体1落位到沙床基础11上;
步骤6:子弹罐体1落位完成后,通过分布式温度光缆3采集子弹罐体1表面温度汇集到温度采集器5,并对温度采集器5的精度和准度进行修正和校准;通过分布式应变光缆2采集子弹罐体1表面的应变数据汇集到应变采集器6,确定为子弹罐体1表面应变的基础数据,同时对应变采集器6的精度进行调整以降低误报概率,确保满足现场要求;通过土压力计4采集子弹罐体1罐底的土压力基础值汇集到土压力采集器7,作为后续工作的参考值;
步骤7:温度采集器5、应变采集器6、土压力采集器7汇总的数据均通过射频技术传输至现场控制系统8中,由现场控制系统8内置比对模块进行比对分析,判断是否在初始范围内;若不在初始范围内,则调整现场控制系统8的初始范围,并对数值模拟系统10的模拟模块进行修正;同时,各采集器采集的子弹罐体1相关数据均无线传输到中控室显示屏9上进行显示;
步骤8:对子弹罐体1进行实际水压试验,通过应变采集器6采集子弹罐体1的应变数据以及土压力采集器7采集子弹罐体1罐底的土压力数据,现场控制系统8进一步对其内部存储的应变监测范围进行细化修正;同时对子弹罐体1内的水温数据与温度采集器5采集到的数据进行比对,获取子弹罐1内外的温度差,作为后续其他试验的修正值;
步骤9:进行子弹罐体1的实际充装试验,通过分布式温度光缆3监测子弹罐体1表面的温度数据,并将其与充装速度建立联系,通过分布式应变光缆2监测子弹罐体1表面的应变情况,并将其与充装量建立联系,进而建立应变情况的温度补偿关系;
具体地,本发明是根据公式
Figure PCTCN2022117757-appb-000003
ε =ε -Δε 以及测得的温度值与当前温度下的应变数据,推算出实际应变值,从而建立应变与温度的补偿关系,进而对现场控制系统8的监测范围进行针对性地调整,数值模拟系统10也随之更新;式中,Δε 表示应变偏差,β j表示罐体的热膨胀系数,β b表示分布式应变光缆2的热膨胀系数,Δt表示温度变化值,α表示分布式应变光缆2的温度-应变系数,K表示分布式应变光缆2的灵敏系数,ε 表示实际应变值,ε 表示测量得到的应变值。
步骤10:进行子弹罐体1渗漏模拟试验,在子弹罐体1卸料时,将阀门控制到最小开合度,观察温度采集器5的温度变化情况和应变采集器6的应变变化情况;若温度采集器5和应变采集器6未发生变化,则调整相应采集器的精度,同时调整现场控制系统8在渗漏情况下的控制精度;具体地,采集器会开启内置的测量信号放大器,将放大后的数据传输给现场控制系统8,现场控制系统8会调用数值模拟系统10中泄露模拟的数据范围放大同样倍数后进行比较控制。
步骤11:通过上述试验和模拟后,现场控制系统8对各种条件下的温度和应变监测范围完成确认,数值模拟系统10的温度和应变模拟与实际情况的近似度得到提高,即可开启现场控制系统8的智能识别模式,进行智能监测工作。
步骤12:现场控制系统8首先控制温度采集器5、应变采集器6以及土压力采集器7进行试采集,将采集到的数据与现场控制系统8内部存储的数据范围进行比对,选择最接近的作为数据采集条件,并向各个采集设备发出调整为当前条件下采集精度的指令;各个采集设备接收到相关指令后,自动调整采集精度后正式开始实时采集子弹罐体1各项数据,同时,数值模拟系统10也根据现场控制系统8选取的条件进行对应调整;
调整后的数值模拟系统10根据现场控制系统8传输过来的数据形成子弹罐体1的温度和应变云图,现场控制系统8将各项监测数据以及数值模拟系统10形成的云图数据传输至中控室显示屏9上显示,供现场人员实时查看,便于了解子弹罐体1各项情况。
对于特殊的地质情况和恶劣的天气情况,现场控制系统8选取现有的最极端条件控制各个采集器进行温度和应变数据收集,同时将采集到的数据与内部存储的初始范围进行比对;当检测数据超出范围时,向中控室显示屏9传递警告信息,提醒相关人员注意;
对于其他未试验或未模拟的工况条件,现场控制系统8进行数据收集并发送给数值 模拟系统10,数值模拟系统10依据现有数据进行模拟,并给出该工况条件下子弹罐体1的温度和应变数据范围,反馈给现场控制系统8,至此,现场控制系统8建立一个新的工况条件监测模式。
针对部分光缆出现破坏的情况,分布式应变光缆2、分布式温度光缆3自动从“回路式”切换到“单向式”,同样可以进行温度或应变数据的采集。
针对出现渗漏的情况,本发明根据实际情况限定温度不随时间发生变化,简化参数条件,同时对范围和距离进行赋值,并根据实际情况同时考虑罐体和土体对温度的影响,利用如下公式(1)对渗漏位置进行定位:
Figure PCTCN2022117757-appb-000004
其中,T表示温度;T C表示分布式温度光缆3位置的环境温度;R表示子弹罐体1的半径;α1表示土体的热扩散系数;α2表示罐体的热扩散系数;L表示相邻分布式温度光缆3的径向距离;r表示渗漏点到分布式温度光缆3测量点的最短距离或分布式温度光缆3测量点到罐体内部的距离。
实际应用中,首先通过收集分布式温度光缆3采集的数据确定最低温度点的位置,模糊确定渗漏点大概位置;然后通过数值模拟系统10对最低温度点上下两个测量点的温度值进行比较,选择更接近最低温度的次低温度进行计算,其中,最低温度与次低温度均根据公式(1)计算获得,获取最低温度和次低温度的比值关系;最后,根据温度与距离的公式(1),通过已知的最低温度点与次低温度点间距离和最低温度与次低温度的比值,即可算出渗漏点与最低温度点的距离,从而确定渗漏点的准确位置。
利用本发明所提供的计算方法,根据实际情况限定温度仅与距离相关,提高了泄露点位置的计算精度和计算速度。
所述实施例为本发明的优选的实施方式,但本发明并不限于上述实施方式,在不背离本发明的实质内容的情况下,本领域技术人员能够做出的任何显而易见的改进、替换或变型均属于本发明的保护范围。

Claims (10)

  1. 基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,包括如下步骤:
    步骤1:利用数值模拟系统(10)在有限元软件中建立子弹罐体(1)与下方沙床基础(11)的1:1仿真模型,并进行不同工况条件下的模拟,确定温度、应力和应变变化范围,作为现场控制系统(8)监测的初始范围;
    步骤2:从子弹罐体(1)的封头处开始,呈“米”字型布设分布式应变光缆(2)和分布式温度光缆(3);在子弹罐体(1)落位位置正下方沙床基础(11)中布设多个土压力计(4);再将完成光缆布设的子弹罐体(1)落位到沙床基础(11)上;
    步骤3:分布式温度光缆(3)采集温度数据汇集到温度采集器(5),分布式应变光缆(2)采集应变数据汇集到应变采集器(6),土压力计(4)采集土压力基础值汇集到土压力采集器(7),同时对各采集器的精度进行修正校准;各采集器的数据均传输至现场控制系统(8)中进行比对分析,判断是否在初始范围内,在初始范围内则进入步骤4,否则调整现场控制系统(8)的初始范围,修正数值模拟系统(10)的模拟模块;
    步骤4:对子弹罐体(1)进行水压试验,根据应变采集器(6)以及土压力采集器(7)采集的数据,现场控制系统(8)进一步对应变监测范围进行细化修正,同时比对获取子弹罐体(1)罐内外温度差,作为后续其他试验的修正值;
    步骤5:对子弹罐体(1)进行充装试验,通过分布式温度光缆(3)监测子弹罐体(1)表面温度数据,并与充装速度建立联系,通过分布式应变光缆(2)监测子弹罐体(1)表面应变情况,并与充装量建立联系,进而建立应变情况的温度补偿关系;
    步骤6:对子弹罐体(1)进行渗漏模拟试验,观察温度采集器(5)和应变采集器(6)的变化情况,据此调整采集器的精度,同时调整现场控制系统(8)的控制精度;
    步骤7:开启现场控制系统(8)的智能识别模式,进行智能监测工作;首先控制各采集器进行试采集,将采集到的数据与现场控制系统(8)内部存储的数据范围进行比对,选择最接近的作为数据采集条件,并向各采集器发出调整为当前条件下采集精度的指令;同时,数值模拟系统(10)根据现场控制系统(8)选取的条件进行对应调整;
    调整后的数值模拟系统(10)根据现场控制系统(8)传输的数据形成温度和应变云图,现场控制系统(8)将各项监测数据以及云图数据传输至中控室显示屏(9)上显示;现场控制系统(8)将采集到的数据与内部存储的初始范围进行实时比对,当检测数据超出范围时,向中控室显示屏(9)传递警告信息;
    针对出现渗漏的情况,利用如下公式对渗漏位置进行定位:
    Figure PCTCN2022117757-appb-100001
    其中,T表示温度;T C表示分布式温度光缆(3)位置的环境温度;R表示子弹罐体(1)的半径;α1表示土体的热扩散系数;α2表示罐体的热扩散系数;L表示相邻分布式温度光缆(3)的径向距离;r表示渗漏点到分布式温度光缆(3)测量点的最短距离或分布式温度光缆(3)测量点到罐体内部的距离。
  2. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤7中,首先通过收集分布式温度光缆(3)采集的数据确定最低温度点的位置,模糊确定渗漏点大概位置;然后通过数值模拟系统(10)对最低温度点上下两个测量点的温度值进行比较,选择更接近最低温度的次低温度进行计算,获取最低温度和次低温度的比值关系;最后,根据温度与距离的公式,通过已知的最低温度点与次低温度点间距离、最低温度与次低温度的比值,算出渗漏点与最低温度点的距离,确定渗漏点的准确位置。
  3. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤5中,根据公式
    Figure PCTCN2022117757-appb-100002
    ε =ε -Δε 以及测得的温度值与当前温度下的应变数据,计算出实际应变值,从而建立应变与温度的补偿关系,进而对现场控制系统(8)的监测范围进行针对性地调整,数值模拟系统(10)也随之更新;式中,Δε 表示应变偏差,β j表示罐体的热膨胀系数,β b表示分布式应变光缆(2)的热膨胀系数,Δt表示温度变化值,α表示分布式应变光缆(2)的温度-应变系数,K表示分布式应变光缆(2)的灵敏系数,ε 表示实际应变值,ε 表示测量得到的应变值。
  4. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤2中,布设光缆时,首先利用毛刷在光缆布设路径上涂刷一层环氧树脂底胶粘结剂,然后在底胶区域平直布设光缆,避免光缆弯曲,布设完成后,在光缆上部再刷一层面胶粘结剂,使得光缆与子弹罐体(1)充分贴合;待面胶粘结剂固化强度达到50%以上后,在其表面粘贴一层铝箔,防止后期焊渣灼损;对于光缆引线部位,利用钢丝软管保护,防止引线光缆在出线处受到破坏;光缆布设完成后,利用激光发射器 检验所布设的分布式应变光缆(2)和分布式温度光缆(3)是否导通;光缆不导通时,通过温度采集器(5)和应变采集器(6)寻找光缆断点,并去除断点处光缆表面的胶水,再对断点处进行熔接,接着重新涂抹胶水,最后做好防护。
  5. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤2中,土压力计(4)布设在子弹罐体(1)落位位置正下方20~80cm深度的沙床基础(11)中,布设土压力计(4)时,首先对沙床基础(11)进行开槽,并将土压力计(4)固定在龙骨架上,然后将各个土压力计(4)串联熔接,其中,中心波长段的土压力计只布设一个,防止造成数据干扰,然后将引线固定在龙骨架上,接着将已固定多个土压力计(4)的龙骨架放置到沙床基础(11)中,并将土压力计(4)另一端连接引线引至地表构成回路;最后使用土压力采集器(7)检验土压力计(4)的状态是否完好,确认完好后进行回填,回填结束后对外露的引线进行保护。
  6. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤6中,现场控制系统(8)的控制精度调整方式为:采集器开启内置的测量信号放大器,将放大后的数据传输给现场控制系统(8),现场控制系统(8)调用数值模拟系统(10)中泄露模拟的数据范围放大同样倍数后进行比较控制。
  7. 根据权利要求1所述的基于分布式光纤的子弹罐应变和温度智能监测方法,其特征在于,所述步骤7中,对于其他未试验或未模拟的工况条件,现场控制系统(8)进行数据收集并发送给数值模拟系统(10),数值模拟系统(10)依据现有数据进行模拟,并给出该工况条件下子弹罐体(1)的温度和应变数据范围,反馈给现场控制系统(8),现场控制系统(8)建立一个新的工况条件监测模式。
  8. 用于实现权利要求1至7中任一项所述的基于分布式光纤的子弹罐应变和温度智能监测方法的子弹罐应变和温度智能监测系统,其特征在于,包括分布式应变光缆(2)、分布式温度光缆(3)、土压力计(4)、温度采集器(5)、应变采集器(6)、土压力采集器(7)、现场控制系统(8)、中控室显示屏(9)以及数值模拟系统(10);子弹罐体(1)坐落在沙床基础(11)上,表面铺设覆土层(12);
    4条分布式应变光缆(2)、4条分布式温度光缆(3)都均匀布设在子弹罐体(1)表面8个不同位置,同一组分布式应变光缆(2)和分布式温度光缆(3)平行紧邻布设,整体在子弹罐体(1)封头位置呈“米”字型分布;多个土压力计(4)串联均布在子弹罐体(1)正下方20~80cm深的沙床基础(11)中;
    分布式应变光缆(2)均与应变采集器(6)信号连接,分布式温度光缆(3)均与 温度采集器(5)信号连接,土压力计(4)均与土压力采集器(7)信号连接;温度采集器(5)、应变采集器(6)、土压力采集器(7)均与现场控制系统(8)信号连接,现场控制系统(8)为数据的接收端和发送端,现场控制系统(8)还与中控室显示屏(9)、数值模拟系统(10)信号连接,进行数据通信;
    中控室显示屏(9)显示各采集器采集到的数据信息,同时显示子弹罐体(1)的运行数据;数值模拟系统(10)作为整个智能监测系统的中央处理器,模拟出各种不同工况条件下子弹罐体(1)的温度和应变数据范围,并下发给现场控制系统(8),同时根据现场控制系统(8)和中控室显示屏(9)的数据比对情况,自主进行温度和应变数据范围的实时更新。
  9. 根据权利要求8所述的子弹罐应变和温度智能监测系统,其特征在于,所述分布式应变光缆(2)包括微型定点分布式应变传感光缆和碳纤维复合基应变感测光缆,均匀布设在子弹罐体(1)的表面。
  10. 根据权利要求8所述的子弹罐应变和温度智能监测系统,其特征在于,所述分布式温度光缆(3)均为塑封铠装分布式温度传感光缆,土压力计(4)为光纤光栅土压力计;应变采集器(6)为回路式高精分布应变采集器,通过光的散射与反射原理结合应变与温度的关系,监测不同工作温度下的子弹罐体(1)表面应变情况;温度采集器(5)为分布式光纤温度采集仪,通过拉曼散射原理结合光时域反射技术,连续监测子弹罐体(1)表面任意一点的温度;土压力采集器(7)为便携式土压力数据解调器,通过光的波长变化感知压力变化情况,监测子弹罐体(1)下部沙床基础(11)的稳定性。
PCT/CN2022/117757 2022-04-14 2022-09-08 基于分布式光纤的子弹罐应变和温度智能监测系统及方法 WO2023197517A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210387450.5A CN114485455B (zh) 2022-04-14 2022-04-14 基于分布式光纤的子弹罐应变和温度智能监测系统及方法
CN202210387450.5 2022-04-14

Publications (1)

Publication Number Publication Date
WO2023197517A1 true WO2023197517A1 (zh) 2023-10-19

Family

ID=81488780

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/117757 WO2023197517A1 (zh) 2022-04-14 2022-09-08 基于分布式光纤的子弹罐应变和温度智能监测系统及方法

Country Status (2)

Country Link
CN (1) CN114485455B (zh)
WO (1) WO2023197517A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114485455B (zh) * 2022-04-14 2022-06-17 中建安装集团有限公司 基于分布式光纤的子弹罐应变和温度智能监测系统及方法
CN116557793B (zh) * 2023-07-10 2023-12-05 中建安装集团有限公司 一种融合压力传感和温度传感的供热管道运行状态监测系统及方法

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170146423A1 (en) * 2015-11-24 2017-05-25 Schlumberger Technology Corporation Detection of leaks from a pipeline using a distributed temperature sensor
CN108298216A (zh) * 2018-03-16 2018-07-20 安徽理工大学 储油罐泄露的监测系统及方法
CN108917635A (zh) * 2018-07-24 2018-11-30 河海大学 基于ofdr技术的管道变形监测系统及使用方法
CN110360945A (zh) * 2019-07-18 2019-10-22 河海大学 基于botdr的管道变形监测和掌上预警系统及方法
CN110925602A (zh) * 2019-11-15 2020-03-27 河海大学 基于ofdr光纤传感的油气管道腐蚀、泄露监测预警系统及方法
CN110984247A (zh) * 2019-11-15 2020-04-10 河海大学 基于ofdr光纤传感的基坑支撑轴力监测预警系统及方法
CN111442193A (zh) * 2020-05-02 2020-07-24 大连理工大学 一种埋地管道悬空状态分布式光纤监测装置及其监测方法
CN112393766A (zh) * 2020-11-16 2021-02-23 中山大学 一种土体状态监测系统以及分布式光纤探杆
CN112697300A (zh) * 2020-12-31 2021-04-23 湖北工业大学 一种基于分布式光纤测温技术的管道泄漏监测试验装置及试验方法
CN114485455A (zh) * 2022-04-14 2022-05-13 中建安装集团有限公司 基于分布式光纤的子弹罐应变和温度智能监测系统及方法

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10004384C2 (de) * 2000-02-02 2003-04-03 Daimler Chrysler Ag Anordnung und Verfahren zur Erfassung von Dehnungen und Temperaturen und deren Veränderungen einer auf einem Träger, insbesondere einem aus Metall, Kunststoff oder Keramik bestehenden Träger, applizierten Deckschicht
JP3519333B2 (ja) * 2000-02-10 2004-04-12 エヌ・ティ・ティ・アドバンステクノロジ株式会社 光ファイバセンサ
CN101382420A (zh) * 2008-10-24 2009-03-11 石家庄铁道学院 采用在线成型工艺制成的光纤光栅自补偿应变传感器
CN103791850B (zh) * 2014-02-11 2016-12-07 柳州欧维姆机械股份有限公司 集成温度自补偿的光纤光栅应变传感器及其用于监测拉索索力的方法
US9927221B2 (en) * 2014-10-03 2018-03-27 Pgs Geophysical As Pressure-balanced seismic sensor package
CN106595918B (zh) * 2016-11-17 2018-12-11 中国科学院武汉岩土力学研究所 一种盾构隧道管片外土压力的长期监测装置及方法
CN107631846A (zh) * 2017-11-06 2018-01-26 中建安装工程有限公司 一种长输管道的试压方法
RU2698106C1 (ru) * 2019-01-16 2019-08-22 Валерий Николаевич Земеров Способ контроля состояния длинномерного объекта и устройство для его осуществления
CN110284886B (zh) * 2019-06-28 2020-12-22 山东新巨龙能源有限责任公司 深立井井壁破裂安全防控方法
CN111764368A (zh) * 2020-06-28 2020-10-13 河海大学 一种基于ofdr光纤传感的水平测试系统及方法
CN213274636U (zh) * 2020-09-30 2021-05-25 广州神科光电科技有限公司 一种分布式光纤供热管道渗漏检测预警系统
CN112393689A (zh) * 2020-11-11 2021-02-23 安徽理工大学 一种地下煤层开采覆岩破坏动态高度的监测方法
CN113532369A (zh) * 2021-05-31 2021-10-22 中建安装集团南京建设有限公司 一种地铁沿线泡沫混凝土路基施工状态监测方法与预警系统

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170146423A1 (en) * 2015-11-24 2017-05-25 Schlumberger Technology Corporation Detection of leaks from a pipeline using a distributed temperature sensor
CN108298216A (zh) * 2018-03-16 2018-07-20 安徽理工大学 储油罐泄露的监测系统及方法
CN108917635A (zh) * 2018-07-24 2018-11-30 河海大学 基于ofdr技术的管道变形监测系统及使用方法
CN110360945A (zh) * 2019-07-18 2019-10-22 河海大学 基于botdr的管道变形监测和掌上预警系统及方法
CN110925602A (zh) * 2019-11-15 2020-03-27 河海大学 基于ofdr光纤传感的油气管道腐蚀、泄露监测预警系统及方法
CN110984247A (zh) * 2019-11-15 2020-04-10 河海大学 基于ofdr光纤传感的基坑支撑轴力监测预警系统及方法
CN111442193A (zh) * 2020-05-02 2020-07-24 大连理工大学 一种埋地管道悬空状态分布式光纤监测装置及其监测方法
CN112393766A (zh) * 2020-11-16 2021-02-23 中山大学 一种土体状态监测系统以及分布式光纤探杆
CN112697300A (zh) * 2020-12-31 2021-04-23 湖北工业大学 一种基于分布式光纤测温技术的管道泄漏监测试验装置及试验方法
CN114485455A (zh) * 2022-04-14 2022-05-13 中建安装集团有限公司 基于分布式光纤的子弹罐应变和温度智能监测系统及方法

Also Published As

Publication number Publication date
CN114485455A (zh) 2022-05-13
CN114485455B (zh) 2022-06-17

Similar Documents

Publication Publication Date Title
WO2023197517A1 (zh) 基于分布式光纤的子弹罐应变和温度智能监测系统及方法
CN101762633B (zh) 一种管道本体缺陷快速检测方法
CN102156089B (zh) 一种埋地管道内腐蚀评价方法
CN103499023B (zh) 一种燃气管道泄漏在线检测和定位方法及其装置
CN206090647U (zh) 一种桩基检测设备
CN106224007A (zh) 隧道施工安全监测预警管理系统
CN207196095U (zh) 一种用于管道腐蚀及泄漏监测的分布式光纤传感系统
CN106323385A (zh) 储罐在线检验检测及评估方法、装置
CN106596904A (zh) 一种混凝土损伤检测分布式测试系统及测试方法
CN115451347B (zh) 一种石油管道安全的智能监控系统及方法
CN110486792B (zh) 基于gprs网络的热网远程监测管理系统及方法
CN109724909A (zh) 测定隧道衬砌抗氯离子渗透性及裂缝发展的试验装置
CN213148168U (zh) 一种基于穿孔式地连墙的长期应力监测系统
CN103591982B (zh) 一种电力隧道结构问题的监测方法
CN107013812A (zh) 一种三场耦合管道泄漏监测方法
CN109917450A (zh) 一种全断面网络化布设的土石坝位移监测系统及方法
CN209460413U (zh) 一种全断面网络化布设的土石坝位移监测系统
CN109469832A (zh) 在役长输油气管道环焊缝缺陷的应变监测装置
CN211475526U (zh) 一种输配水管网漏失成套监测装置
CN113763674A (zh) 一种远程绝对应力实时监测与预警系统及方法
CN108548514A (zh) 一种钢管生产线用光纤余长动态测量系统
CN111075119B (zh) 一种用于装配式建筑节点质量监测用的灌浆套筒、监测装置、监测系统、方法及应用
CN203940243U (zh) 一种基于分布式光纤传感器和声波的管道监测装置及系统
CN215296381U (zh) 一种用于深基坑开挖地下水位监测的自动化装置
CN112113692B (zh) 一种基于穿孔式地连墙的长期应力监测系统及监测方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22937155

Country of ref document: EP

Kind code of ref document: A1