CN113670391B - Intelligent flow measurement system and demodulation method for river channel and open channel - Google Patents
Intelligent flow measurement system and demodulation method for river channel and open channel Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/002—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow wherein the flow is in an open channel
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
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- G01K11/3206—Measuring 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 at discrete locations in the fibre, e.g. using Bragg scattering
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- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
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- G01P5/24—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting acoustical wave
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- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
- G01P5/26—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft by measuring the direct influence of the streaming fluid on the properties of a detecting optical wave
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Abstract
The invention provides an intelligent flow measurement system and a demodulation method for river channels and open channels, which are based on an optical fiber sensing and computer vision fusion technology.
Description
Technical Field
The invention relates to the technical field of hydrologic structures, in particular to an intelligent flow measurement system and a demodulation method for river channels and open channels.
Background
An open channel is a channel of water flow having free surfaces, i.e., various points on the surface, subjected to atmospheric pressure, and can be classified into natural open channels, such as natural river channels, and artificial open channels, such as artificial water transport channels, canal, and pipes not filled with water flow, etc., according to its formation.
The current open channels are many channels for domestic water and agricultural water, and along with the expansion of cities and the continuous development of agriculture and industry, the demand for water is also increasing, so that the hydrologic conditions of reservoirs and channels need to be mastered in time to meet the demands for domestic water and production water.
Then, the flow rate of the open channel is an indispensable measurement data, but the current measurement accuracy of the flow rate of the open channel is lower, and the actual measurement requirement cannot be met.
Disclosure of Invention
In view of the above, the present invention provides an intelligent flow measurement system and demodulation method for river and open channels, which has the following technical scheme:
an intelligent flow measurement system for river and open channels, the intelligent flow measurement system comprising: a processor and an intelligent flow measurement device;
the intelligent flow measurement device includes:
the box body comprises a first side surface, a second side surface, an upper surface and a lower bottom surface, wherein the first side surface and the second side surface are oppositely arranged;
a water gauge secured to the first side and the second side;
the image acquisition device is fixed on the upper surface and is used for acquiring the fluid image and the water gauge image flowing through the box body;
a plurality of flow rate sensors fixed on the first side and the second side, the flow rate sensors being configured to measure instantaneous flow rates of fluid at locations corresponding to the flow rate sensors;
the processor is used for processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor;
the processor is further used for generating flow information according to the flow state information, the liquid level information, the instantaneous flow rate and the first information;
wherein the first information is a distance between the first side and the second side.
Preferably, in the above intelligent flow measurement system, the plurality of flow rate sensors are divided into a plurality of groups of flow rate sensors;
any one group of flow rate sensors comprises two flow rate sensors, wherein one flow rate sensor is arranged on the first side surface, and the other flow rate sensor is arranged on the second side surface and is positioned on the same horizontal plane;
the multiple groups of flow velocity sensors are sequentially arranged in a first direction, and the first direction is the direction that the lower bottom surface points to the upper surface.
Preferably, in the above intelligent flow measurement system, in the first direction, the intervals between two adjacent groups of flow rate sensors are equal.
Preferably, in the intelligent flow measurement system, the flow rate sensor is an FPG part and a temperature field generating part;
the temperature field generation part is used for generating a temperature field, and the temperature field is used for realizing compensation of the flow measurement precision;
the FPG part is used for measuring the change condition of the temperature field in the dynamic process of the fluid and generating the instantaneous flow rate of the fluid at the corresponding position of the flow rate sensor.
Preferably, in the above intelligent flow measurement system, the temperature field generating part is a doping element doped in the FPG part;
the doping element is used for generating the temperature field under the excitation of the pump laser.
Preferably, in the above intelligent flow measurement system, the temperature field generating portion is a heat generating layer surrounding the FPG portion.
Preferably, in the intelligent flow measurement system, the flow rate sensor is an ultrasonic flow rate sensor or an electromagnetic flow rate sensor.
Preferably, in the intelligent flow measurement system, the image acquisition device is a camera.
Preferably, in the above intelligent flow measurement system, the intelligent flow measurement system further includes:
a light source fixed to the upper surface.
A demodulation method applied to the intelligent flow measurement system of any one of the above claims, the demodulation method comprising:
acquiring the fluid image and the water gauge image through the image acquisition device, and acquiring the instantaneous flow rate of the fluid at the position corresponding to the flow rate sensor through the flow rate sensor;
processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor;
generating flow information according to the flow state information, the liquid level information, the instantaneous flow rate and the first information;
wherein the first information is a distance between the first side and the second side.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an intelligent flow measurement system for river channels and open channels, which comprises: a processor and an intelligent flow measurement device; the intelligent flow measurement device includes: the box body comprises a first side surface, a second side surface, an upper surface and a lower bottom surface, wherein the first side surface and the second side surface are oppositely arranged; a water gauge secured to the first side and the second side; the image acquisition device is fixed on the upper surface and is used for acquiring the fluid image and the water gauge image flowing through the box body; a plurality of flow rate sensors fixed on the first side and the second side, the flow rate sensors being configured to measure instantaneous flow rates of fluid at locations corresponding to the flow rate sensors; the processor is used for processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor; the processor is further used for generating flow information according to the flow state information, the liquid level information, the instantaneous flow rate and the first information; wherein the first information is a distance between the first side and the second side.
The intelligent flow measurement system integrates various devices to measure the fluid state and the liquid level through videos and measures the flow velocity of each area through sensors, so that multi-scale and multi-parameter integrated measurement of images, liquid levels, flow velocity and the like is realized, and high-precision measurement of flow is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the intelligent flow measurement system for river and open channels according to the embodiment of the present invention;
FIG. 2 is a schematic diagram of a flow state information generation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a liquid level information generation method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a graph of liquid level versus flow rate according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the schematic structure of another intelligent flow measurement system for river and open channels according to the embodiments of the present invention;
FIG. 6 is a schematic diagram of a schematic structure of another intelligent flow measurement system for river and open channels according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a schematic structure of another intelligent flow measurement system for river and open channels according to an embodiment of the present invention;
fig. 8 is a schematic flow chart of a demodulation method according to an embodiment of the present invention;
fig. 9 is a schematic diagram of flow information generation according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Based on the background technology of the application, the current measuring precision of open channel flow measurement is lower.
For example, in ultrasonic measurement, the measurement accuracy is greatly affected by the flow state of water, so that the flow rate cannot be accurately measured under severe conditions such as vortex, cyclone, and the like.
In the technical means such as radar measurement or video measurement, only the flow velocity condition of the fluid surface can be measured, and the whole flow is calculated by estimating the surface flow velocity, so that the error is large.
Based on this, the application provides a novel open channel flow measurement system, combines the method of video image and "optic fibre hot wire", through video measurement liquid flow state and liquid level, optic fibre hot wire is used for measuring the velocity of flow, realizes multiscale multiparameter fusion measurement such as image, liquid level and velocity of flow to realize the high accuracy measurement of flow.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent flow measurement system for river and open channels according to an embodiment of the present invention.
The intelligent flow measurement system includes: processor 11 and an intelligent flow measuring device.
The intelligent flow measurement device includes:
the box 12, the box 12 includes a first side 13 and a second side 14 disposed opposite to each other, and an upper surface 15 and a lower bottom 16 disposed opposite to each other.
A water gauge 17 fixed to the first side 13 and the second side 14.
An image acquisition device 18 secured to the upper surface 15, the image acquisition device 18 being configured to acquire images of fluid flowing through the tank 12 and images of the water gauge.
A plurality of flow rate sensors 19 fixed to the first side 13 and the second side 14, the flow rate sensors 19 being configured to measure instantaneous flow rates of fluid at corresponding positions of the flow rate sensors 19.
The processor 11 is configured to process the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor.
The processor 11 is further configured to generate flow information based on the flow regime information, the liquid level information, the instantaneous flow rate, and the first information.
Wherein the first information is the distance between the first side 13 and the second side 14.
In the present application, the flow state information includes at least information on a flow state of the fluid during the flow of the fluid, and information on whether or not an obstacle is present on the surface of the fluid.
In this embodiment, referring to fig. 2, fig. 2 is a schematic diagram of a flow state information generation principle provided in an embodiment of the present invention, the processor 11 processes the fluid image to generate flow state information of a fluid specifically: as shown in fig. 2, based on the supervised learning principle, a flow pattern image with a label (i.e., a known flow pattern image shown in fig. 2) is acquired and manufactured, and is subjected to training evaluation by a neural network model, and the neural network model and parameters thereof are continuously adjusted to have an optimal flow pattern classification effect, so that a flow pattern model is built.
After the processor 11 receives the fluid image transmitted by the image acquisition device, the fluid image is input into the fluid model for classification and identification, and classification and identification of different fluid states are completed, so that fluid state information corresponding to the fluid image can be obtained.
Referring to fig. 3, fig. 3 is a schematic diagram of liquid level information generation provided in an embodiment of the present invention, where the processor 11 processes the water gauge image to generate liquid level information of the flow rate sensor specifically includes: as shown in fig. 3, after the processor 11 receives the water gauge image transmitted by the image acquisition device, firstly image gray processing is performed, secondly morphological processing is performed, the target feature is segmented from the water gauge image, namely, the water gauge gray threshold shown in fig. 3 is segmented, then gray and morphological feature processing is performed, character matching and scale extraction are performed, namely, the target feature is finally obtained, and accordingly liquid level identification is performed.
Referring to fig. 4, fig. 4 is a schematic diagram of a curve relationship between a liquid level and a flow rate according to an embodiment of the present invention, wherein an abscissa in fig. 4 represents a liquid level, which may also be referred to as a height of a flow rate sensor; the ordinate indicates the instantaneous flow rate at the corresponding position of the flow rate sensor.
Flow = flow velocity x area; area = height x width.
The flow rate is the instantaneous flow rate at the position corresponding to the flow rate sensor;
the height is the liquid level, which can be said to be the height at which the flow rate sensor is located;
the width is the first information, i.e. the distance between the first side and the second side.
Since the distance between the first side and the second side is constant, i.e. the value of the width is constant, the magnitude of the flow can be characterized by the integral area of the curve shown in fig. 4.
Optionally, in another embodiment of the present invention, referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent flow measurement system for river and open channels according to an embodiment of the present invention.
The plurality of flow rate sensors 19 are divided into a plurality of groups of flow rate sensors.
Any one set of flow rate sensors includes two flow rate sensors 19, one of the flow rate sensors 19 is disposed on the first side 13, and the other flow rate sensor 19 is disposed on the second side 14 and on the same horizontal plane.
The multiple sets of flow rate sensors are sequentially arranged in a first direction in which the lower bottom surface 16 is directed toward the upper surface 15.
In this embodiment, in order to accurately measure the instantaneous flow rate of the fluid at each level, the plurality of flow rate sensors are divided into a plurality of groups of flow rate sensors, and one group of flow rate sensors is disposed under each level, that is, the instantaneous flow rate at the same level is measured by simultaneously passing two flow rate sensors on both sides of the fluid flowing through the tank, so as to improve the measurement accuracy of the instantaneous flow rate.
Optionally, in another embodiment of the present invention, referring to fig. 6, fig. 6 is a schematic structural diagram of another intelligent flow measurement system for river and open channels according to an embodiment of the present invention.
In the first direction, the intervals between two adjacent groups of flow velocity sensors are equal, namely h1=hi, wherein i is a positive integer.
In this embodiment, if the intervals between two adjacent groups of flow velocity sensors are not equal in the first direction, that is, the intervals between some areas are relatively dense, and the intervals between some areas are relatively sparse, then the problem of providing too many flow velocity sensors exists in the area with relatively dense intervals, which may cause a problem of high cost, and the problem of not monitoring the instantaneous flow velocity of the fluid in place in the area with relatively sparse intervals, which may cause inaccurate flow measurement accuracy.
Therefore, in the embodiment of the invention, the instantaneous flow velocity of the fluid in the first direction can be well measured by arranging the plurality of groups of flow velocity sensors at equal intervals in the first direction, so that the flow measurement precision is further improved.
Alternatively, in another embodiment of the present invention, the flow rate sensor 19 is an FPG part and a temperature field generating part;
the temperature field generation part is used for generating a temperature field, and the temperature field is used for realizing compensation of the flow measurement precision;
the FPG part is used for measuring the change condition of the temperature field in the dynamic process of the fluid and generating the instantaneous flow rate of the fluid at the corresponding position of the flow rate sensor.
In this embodiment, the FPG is generally referred to as Fiber Bragg Grating, i.e., a fiber bragg grating, that is, a grating with periodically distributed spatial phase formed in the core, with temperature measurement capability.
The temperature field generating part is used for generating a temperature field, the temperature field can be changed under the condition of different flow rates and directions, and the flow rate is measured through the FPG part by demodulating the relative relation between the temperature and the flow rate.
Optionally, in another embodiment of the present invention, the temperature field generating part is a doping element doped in the FPG part;
the doping element is used for generating the temperature field under the excitation of the pump laser.
In this embodiment, the doping element includes, but is not limited to, gu, and the temperature field may be generated under the excitation of the pump laser, and the flow rate sensor may be named as a doping type FPG flow rate sensor.
Alternatively, in another embodiment of the present invention, the temperature field generating part is a heat generating layer surrounding the FPG part.
In this embodiment, the heat generating layer includes, but is not limited to, a metal heat generating layer that spontaneously generates a temperature field upon external power.
Alternatively, in another embodiment of the present invention, the flow rate sensor 19 may be an ultrasonic flow rate sensor or an electromagnetic flow rate sensor.
Alternatively, in another embodiment of the present invention, the image capturing device 18 is a camera.
It should be noted that the image capturing device 18 may also be disposed outside the case 12, and further, after the image capturing device 18 is disposed outside the case 12, protection of the image capturing device 18 may also be achieved by a protection device.
Referring to fig. 7, fig. 7 is a schematic structural diagram of still another intelligent flow measurement system according to an embodiment of the present invention, where the intelligent flow measurement system for river and open channels further includes:
a light source 20 fixed to the upper surface 15.
In this embodiment, a light source 20 is disposed inside the case 12 to provide illumination conditions, so that the camera can collect high-quality fluid images and water gauge images to improve the accuracy of the flow state information and the liquid level information after image processing, thereby finally improving the flow measurement accuracy.
Optionally, based on the above all embodiments of the present invention, in another embodiment of the present invention, a demodulation method is further provided, where the demodulation method is applied to the intelligent flow measurement system for river channels and open channels described in any one of the embodiments, and referring to fig. 8, fig. 8 is a schematic flow chart of a demodulation method provided in an embodiment of the present invention.
The demodulation method comprises the following steps:
s101: the fluid image and the water gauge image are acquired through the image acquisition device, and the instantaneous flow rate of the fluid at the position corresponding to the flow rate sensor is acquired through the flow rate sensor.
S102: and processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor.
S103, generating flow information according to the flow state information, the liquid level information, the instantaneous flow rate and the first information.
Wherein the first information is a distance between the first side and the second side.
Optionally, referring to fig. 9, fig. 9 is a schematic diagram of flow information generation, as shown in fig. 9, based on a neural network algorithm, and a corresponding processing unit is configured, and multidimensional parameter information such as flow state information, liquid level information, instantaneous flow rate, temperature information and the like is used as a set of training data parameters of a neural network model, and according to a corrected standard table as a label, the neural network model is trained and evaluated to train a corresponding flow information measurement model.
In the actual flow measurement process, the corresponding flow information is directly obtained by taking the multidimensional parameter information such as the acquired flow state information, liquid level information, instantaneous flow speed, temperature information and the like as a group of input information of a flow information measurement model in real time.
It should be noted that, the principle of the intelligent flow measurement method provided by the embodiment of the present invention is the same as that of the intelligent flow measurement system provided by the foregoing embodiment of the present invention, and will not be described herein.
As can be seen from the above description, the intelligent flow measurement system for river and open channel provided by the application has at least the following characteristics:
1. the intelligent flow measurement system is an all-optical scheme, long in service life and strong in electromagnetic interference resistance; the existing box-type open channel flowmeter needs electromagnetic sensors such as an electronic water gauge, an electromagnetic sensor, an ultrasonic sensor and the like no matter how an ultrasonic wave and an electromagnetic mode are adopted, but the system adopts a mode of combining FBG (fiber) and a camera (optical image) and does not have any electromagnetic sensor.
2. The intelligent flow measurement system is an accurate multi-sensing multi-scale fusion scheme, in the traditional scheme, after only single ultrasonic or electromagnetic calculation of flow velocity, flow is calculated according to water level integral, and accurate flow measurement cannot be obtained under the conditions of complex flow state, sundries and the like.
3. The multiple sensors in the intelligent flow measurement system are mutually fused, so that benefit and precision are improved; the camera not only analyzes the scenes such as flow state and sundry blockage to provide information for the flow information measurement model, but also can calculate liquid level information through the combination of the images and scales, so that the use of an electronic water gauge (2000 Yuan people's bank note electronic water gauge) is saved, compensation is provided for the flow information measurement model, and flow measurement precision is improved.
4. The intelligent flow measurement system has the advantages that the quantity and the dimension of the acquired sensing parameters are large, the design of a matched neural network algorithm model is simple, and the accuracy is high; because different flow patterns, different water level heights and different scene positions lead to different calculation models, the specific models are difficult to analyze. Therefore, the intelligent flow measurement system adopts a neural network algorithm, is provided with a response processing unit, takes multidimensional parameters such as water level, flow state, flow velocity, temperature, blocking and the like as training data parameters, adopts a neural network model to train out a response model according to a corrected standard table as a label, and thus carries out flow calculation. Has the advantages of high efficiency and high precision.
The above describes in detail a river and open channel intelligent flow measurement system and demodulation method provided by the invention, and specific examples are applied to illustrate the principles and embodiments of the invention, and the above examples are only used to help understand the method and core ideas of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include, or is intended to include, elements inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent flow measurement system for river and open channels, the intelligent flow measurement system comprising: a processor and an intelligent flow measurement device;
the intelligent flow measurement device includes:
the box body comprises a first side surface, a second side surface, an upper surface and a lower bottom surface, wherein the first side surface and the second side surface are oppositely arranged;
a water gauge secured to the first side and the second side;
the image acquisition device is fixed on the upper surface and is used for acquiring the fluid image and the water gauge image flowing through the box body;
a plurality of flow rate sensors fixed on the first side and the second side, the flow rate sensors being configured to measure instantaneous flow rates of fluid at locations corresponding to the flow rate sensors;
the processor is used for processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor; the fluid state information of the fluid at least comprises flow state information in the flowing process of the fluid and information of whether the surface of the fluid is provided with barriers or not;
the processor is specifically used for receiving the fluid image transmitted by the image acquisition device, inputting the fluid image into a fluid model for classification and identification, and obtaining fluid information corresponding to the fluid image; the processor is specifically further configured to input the flow state information, the liquid level information, the instantaneous flow velocity and the first information into a flow information measurement model, and generate flow information; the flow information measurement model is obtained by training and evaluating the neural network model by taking multidimensional parameter information such as flow state information, liquid level information, instantaneous flow rate, temperature information and the like as a group of training data parameters of the neural network model based on a neural network algorithm and taking a corrected standard table as a label;
wherein the first information is a distance between the first side and the second side.
2. The intelligent flow measurement system of claim 1, wherein a plurality of the flow sensors are divided into a plurality of groups of flow sensors;
any one group of flow rate sensors comprises two flow rate sensors, wherein one flow rate sensor is arranged on the first side surface, and the other flow rate sensor is arranged on the second side surface and is positioned on the same horizontal plane;
the multiple groups of flow velocity sensors are sequentially arranged in a first direction, and the first direction is the direction that the lower bottom surface points to the upper surface.
3. The intelligent flow measurement system of claim 2, wherein in the first direction, the spacing between adjacent sets of flow rate sensors is equal.
4. The intelligent flow measurement system of claim 1, wherein the flow sensor is an FPG portion and a temperature field generating portion;
the temperature field generation part is used for generating a temperature field, and the temperature field is used for realizing compensation of the flow measurement precision;
the FPG part is used for measuring the change condition of the temperature field in the dynamic process of the fluid and generating the instantaneous flow rate of the fluid at the corresponding position of the flow rate sensor.
5. The intelligent flow measurement system of claim 4, wherein the temperature field generating portion is a doping element doped in the FPG portion;
the doping element is used for generating the temperature field under the excitation of the pump laser.
6. The intelligent flow measurement system of claim 4, wherein the temperature field generating portion is a heat generating layer surrounding the FPG portion.
7. The intelligent flow measurement system of claim 1, wherein the flow sensor is an ultrasonic flow sensor or an electromagnetic flow sensor.
8. The intelligent flow measurement system of claim 1, wherein the image capture device is a camera.
9. The intelligent flow measurement system of claim 1, wherein the intelligent flow measurement system further comprises:
a light source fixed to the upper surface.
10. A demodulation method applied to the intelligent flow measurement system of any one of claims 1-9, the demodulation method comprising:
acquiring the fluid image and the water gauge image through the image acquisition device, and acquiring the instantaneous flow rate of the fluid at the position corresponding to the flow rate sensor through the flow rate sensor;
processing the fluid image and the water gauge image to generate fluid state information of the fluid and liquid level information of the flow rate sensor; the fluid state information of the fluid at least comprises flow state information in the flowing process of the fluid and information of whether the surface of the fluid is provided with barriers or not;
the fluid image is subjected to fluid state information generation, wherein the fluid state information generation comprises the steps of receiving the fluid image transmitted by the image acquisition device, inputting the fluid image into a fluid state model for classification and identification, and obtaining fluid state information corresponding to the fluid image;
inputting the flow state information, the liquid level information, the instantaneous flow velocity and the first information into a flow information measurement model to generate flow information; the flow information measurement model is obtained by training and evaluating the neural network model by taking multidimensional parameter information such as flow state information, liquid level information, instantaneous flow rate, temperature information and the like as a group of training data parameters of the neural network model based on a neural network algorithm and taking a corrected standard table as a label;
wherein the first information is a distance between the first side and the second side.
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