Method and device for non-contact detection of thermal fluid flow
阅读说明：本技术 一种用于热流体流量非接触式检测的方法和装置 (Method and device for non-contact detection of thermal fluid flow ) 是由 李晋 杨俊彤 张华� 于 2019-10-16 设计创作，主要内容包括：本发明属于光纤传感技术领域,尤其涉及一种用于热流体流量非接触式检测的方法和装置。该方法包括如下步骤：S1、将密封管道穿过加热单元和能量输出单元,在密封管道的外壁均匀安装多个温度传感器；S2、通入流体；S3、每个温度传感器获得温度数据,并将所述温度数据输入预先训练的神经网络模型,得到流体的流量信息；其中,所述预先训练的神经网络模型为基于预设历史时间段内的温度和对应的流体的流量信息,采用神经网络算法进行训练后的模型。该方法基于预先设定的模型,通过温度传感器测定流体温度,进而获得管道内流体的流量信息。(The invention belongs to the technical field of optical fiber sensing, and particularly relates to a method and a device for non-contact detection of thermal fluid flow. The method comprises the following steps: s1, enabling the sealed pipeline to penetrate through the heating unit and the energy output unit, and uniformly installing a plurality of temperature sensors on the outer wall of the sealed pipeline; s2, introducing fluid; s3, each temperature sensor obtains temperature data, and the temperature data is input into a pre-trained neural network model to obtain flow information of the fluid; the pre-trained neural network model is a model trained by adopting a neural network algorithm based on the temperature in a preset historical time period and the corresponding flow information of the fluid. The method is based on a preset model, and the temperature of the fluid is measured through a temperature sensor, so that the flow information of the fluid in the pipeline is obtained.)
1. A method for non-contact sensing of thermal fluid flow comprising the steps of:
s1, enabling the sealed pipeline to penetrate through the heating unit and the energy output unit, and uniformly installing a plurality of temperature sensors on the outer wall of the sealed pipeline;
s2, introducing fluid;
s3, each temperature sensor obtains temperature data, and the temperature data is input into a pre-trained neural network model to obtain flow information of the fluid;
the pre-trained neural network model is a model trained by adopting a neural network algorithm based on the temperature in a preset historical time period and the corresponding flow information of the fluid.
2. The method for non-contact detection of thermal fluid flow according to claim 1, wherein the temperature sensor is composed of a micro-nano fiber, a single-mode fiber and a quartz capillary, both ends of the quartz capillary are open, the micro-nano fiber and the single-mode fiber are fixed on the inner wall of the quartz capillary, and a gap is formed between the micro-nano fiber and the single-mode fiber to form an F-P cavity.
3. Method for the non-contact detection of the flow of a thermal fluid according to claim 1, characterized in that said fluid is a homogeneous fluid, gaseous, liquid or gas-liquid mixture.
4. Method for the non-contact detection of the flow of a thermal fluid according to claim 1, characterized in that said temperature sensor is mounted on the external wall of the sealed conduit by means of polymer embedding and fixing.
5. Method for the non-contact detection of the flow of a thermal fluid according to claim 1, characterized in that said heating unit is a nuclear reactor or a flame unit.
6. The utility model provides a device for hot fluid flow non-contact detects, includes sealed pipeline (1), heating unit (2) and energy output unit (3), sealed pipeline (1) passes heating unit (2) and energy output unit (3), its characterized in that, at a plurality of temperature sensor (4) of the outer wall uniform installation of sealed pipeline (1), temperature sensor comprises micro-nano optical fiber (41), single mode fiber (42) and quartz capillary, quartz capillary both ends opening, micro-nano optical fiber (41) and single mode fiber (42) are fixed at quartz capillary's inner wall, there is the interval between micro-nano optical fiber (41) and single mode fiber (42), forms the F-P chamber.
7. The device for non-contact detection of thermal fluid flow according to claim 6, wherein the micro-nano fiber and single-mode fiber are spaced 35-45 microns apart.
8. The device as claimed in claim 7, wherein the micro-nano fiber has a diameter of 35-45 μm, and the single mode fiber has a diameter of 120-130 μm.
9. Device for the non-contact detection of the flow of a thermal fluid according to claim 8, characterized in that said temperature sensor is mounted on the external wall of the sealed conduit (1) by means of polymer embedding and fixing.
Technical Field
The invention belongs to the technical field of optical fiber sensing, and particularly relates to a method and a device for non-contact detection of thermal fluid flow.
Background
The control of the operation state of the nuclear power station is very important, great potential safety hazards exist in high-load operation, and the power generation efficiency is rapidly reduced due to low-standard operation. The adjustment of the operation state of the nuclear power station mainly depends on the accurate measurement of the power of a loop, and can be directly obtained through the measurement of the flow of the condensing agent.
However, because the requirement on the sealing performance of a primary circuit is high, a plug-in flowmeter cannot be installed for direct measurement, and the power measurement mode of the primary circuit is mainly obtained by indirectly multiplying the ratio of the measured rotating speed and the rated rotating speed of the primary pump by the rated flow.
In this process, the flow coefficient also needs to be calibrated occasionally using the power calculated by the thermal balance test. The indirect method-based power value measuring process is complex, and the radiation of a loop system is strong, so that the traditional electrical sensor cannot work normally.
Disclosure of Invention
Technical problem to be solved
Aiming at the existing technical problems, the invention provides a method for the non-contact detection of the flow of hot fluid, which is based on a preset model and measures the temperature of the fluid through a temperature sensor so as to obtain the flow information of the fluid in a pipeline.
(II) technical scheme
The invention provides a method for non-contact detection of thermal fluid flow, which comprises the following steps:
s1, enabling the sealed pipeline to penetrate through the heating unit and the energy output unit, and uniformly installing a plurality of temperature sensors on the outer wall of the sealed pipeline;
s2, introducing fluid;
s3, each temperature sensor obtains temperature data, and the temperature data is input into a pre-trained neural network model to obtain flow information of the fluid;
the pre-trained neural network model is a model trained by adopting a neural network algorithm based on the temperature in a preset historical time period and the corresponding flow information of the fluid.
Furthermore, the temperature sensor comprises a micro-nano optical fiber, a single-mode optical fiber and a quartz capillary tube, two ends of the quartz capillary tube are opened, the micro-nano optical fiber and the single-mode optical fiber are fixed on the inner wall of the quartz capillary tube, and a space is reserved between the micro-nano optical fiber and the single-mode optical fiber to form an F-P cavity.
Further, the fluid is a gas, a liquid or a gas-liquid mixed homogeneous fluid.
Further, the temperature sensor is arranged on the outer wall of the sealed pipeline in a polymer embedding and fixing mode.
Further, the heating unit is a nuclear reactor or a flame unit.
The invention also provides a device for the thermal fluid flow non-contact detection method based on the thermal fluid flow non-contact detection device, which comprises a sealed pipeline, a heating unit and an energy output unit, wherein the sealed pipeline penetrates through the heating unit and the energy output unit, a plurality of temperature sensors are uniformly arranged on the outer wall of the sealed pipeline, each temperature sensor consists of a micro-nano optical fiber, a single-mode optical fiber and a quartz capillary, two ends of the quartz capillary are opened, the micro-nano optical fiber and the single-mode optical fiber are fixed on the inner wall of the quartz capillary, and a space is reserved between the micro-nano optical fiber and the single-mode optical fiber to.
Further, the distance between the micro-nano optical fiber and the single-mode optical fiber is 35-45 micrometers.
Further, the diameter of the micro-nano optical fiber is 35-45 micrometers, and the diameter of the single-mode optical fiber is 120-130 micrometers.
Further, the temperature sensor is arranged on the outer wall of the sealed pipeline in a polymer embedding and fixing mode.
(III) advantageous effects
The method for detecting the flow of the hot fluid in a non-contact manner can detect the gradient change trend of the temperature of the outer wall of the pipeline, further obtain the heat conduction distribution characteristic based on the change of the flow of the fluid in the pipeline, obtain the real-time flow of the fluid in the pipeline through calculation and analysis, and realize the non-contact real-time monitoring of the flow of the fluid in the sealed pipeline.
The device for the non-contact detection of the flow of the hot fluid, provided by the invention, has high sensitivity and accurate measurement result.
Drawings
FIG. 1 is a schematic diagram of a temperature gradient curve of a method for non-contact detection of a thermal fluid flow according to the present invention;
FIG. 2 is an apparatus for non-contact detection of thermal fluid flow provided by the present invention;
fig. 3 is a schematic structural diagram of the temperature sensor of the present invention.
[ description of reference ]
1: sealing the pipeline; 2: a heating unit; 3: an energy output unit; 4: a temperature sensor; 41: micro-nano optical fibers; 42: a single mode optical fiber.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
The invention provides a method for non-contact detection of thermal fluid flow, which comprises the following steps:
s1, enabling the sealed pipeline to penetrate through the heating unit and the energy output unit, and uniformly installing a plurality of temperature sensors on the outer wall of the sealed pipeline;
s2, introducing fluid;
s3, each temperature sensor obtains temperature data, and the temperature data is input into a pre-trained neural network model to obtain flow information of the fluid;
the pre-trained neural network model is a model trained by adopting a neural network algorithm based on the temperature in a preset historical time period and the corresponding flow information of the fluid.
Further, the fluid is a gas, a liquid or a gas-liquid mixed homogeneous fluid.
The temperature detected by each temperature sensor changes along with the change of the fluid flow, the method obtains a temperature gradient change curve as shown in figure 1 by detecting the temperature reduction trend of the pipeline in the fluid flow direction, and obtains corresponding fluid flow information by calculating and analyzing the change rate and the trend of the curve.
The invention also provides a device for the above method for non-contact detection of hot fluid flow, as shown in fig. 2, a closed circular ring with an arrow at the center part indicates the flow direction of the fluid, comprising: the sealed
A plurality of
Further, as shown in fig. 3, the
The
Principle of detection
When fluid flows in the pipeline, the fluid can exchange heat with the surrounding environment, the heat exchange rate depends on the temperature difference between the fluid in the pipeline and the external environment, and when the fluid flow speed is lower, more heat is lost in the process of flowing through the pipeline with the same length, and the temperature change is larger; for faster fluids, the same length has less heat loss, so the magnitude of fluid flow in a pipe can be estimated based on fixed point observations of temperature on multiple pipes of a particular length.
Before measurement, firstly, learning by utilizing characteristic data of temperatures at different flows to finish calibration work of a sensor system; in actual measurement, the change of the flow in the pipeline can cause the change of a temperature distribution field of the pipeline wall, and the micro fluctuation of the temperature can be detected in real time by installing a high-sensitivity temperature sensor at a specific position of a pipeline system. According to the temperature measurement values of different detection points, a temperature gradient change curve of the pipeline system can be drawn, the neural network algorithm of the temperature gradient change curve is analyzed, curve characteristic information of different flow rates is compared, and finally flow rate information of the fluid is obtained.
The technical principles of the present invention have been described above in connection with specific embodiments, which are intended to explain the principles of the present invention and should not be construed as limiting the scope of the present invention in any way. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive efforts, which shall fall within the scope of the present invention.
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