CN-122015948-A - Fluid self-adaptive flow velocity testing system and method for detecting viscosity coefficient of liquid in real time

CN122015948ACN 122015948 ACN122015948 ACN 122015948ACN-122015948-A

Abstract

The invention belongs to the field of fluid flow rate testing, and provides a fluid self-adaptive flow rate testing system and method for detecting a viscosity coefficient of liquid in real time, wherein the cross-section width, depth and pressure of fluid to be tested are obtained; the method comprises the steps of adopting a quartz crystal oscillation frequency change principle, combining a temperature gradient compensation algorithm, detecting hydrodynamic viscosity coefficient in real time, calculating the optimal measurement depth of average flow velocity according to the section width, the depth and the viscosity coefficient, calculating the average flow velocity and the flow rate based on a plurality of groups of data measured by a flow velocity measurement module at the optimal measurement depth, moving the flow velocity measurement module to the optimal measurement depth according to the optimal measurement depth calculated by a calculation control system, and calculating the average flow velocity and the flow rate based on a plurality of groups of data measured at the optimal measurement depth. The invention integrates the functions of real-time viscosity coefficient detection, intelligent depth optimization and full-automatic adjustment, can remarkably improve the measurement accuracy and reduce the operation complexity.

Inventors

ZHOU YUXIANG
ZHENG HONG
Hu Haizhuang
LIU JIN
WANG LEI
LI XIN
NIU BINGBING

Assignees

中电建路桥集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (10)

1. A fluid self-adaptive flow velocity testing system for detecting real-time liquid viscosity coefficient is characterized by comprising a bracket main body system, a multi-parameter section measuring system, an intelligent viscosity coefficient detecting system, a calculation control system and a self-adaptive adjusting system, wherein: The bracket main body system comprises a bracket and an adjustable arm connected with the bracket, and is used for being arranged in a set distance range of fluid to be tested and supporting other systems; The multi-parameter section measurement system comprises a shell which is hoisted at the end part of the adjustable arm, wherein a laser range finder, an ultrasonic detection module, a pressure sensor group and a flow velocity measurement module are arranged on the shell and are respectively used for acquiring the section width, the depth and the pressure of fluid to be measured; The intelligent viscosity coefficient detection system is arranged on the shell and is used for detecting the hydrodynamic viscosity coefficient in real time by adopting a quartz crystal oscillation frequency change principle and combining a temperature gradient compensation algorithm; The calculation control system is used for receiving the data of the multi-parameter section measurement system and the intelligent viscosity coefficient detection system, calculating the optimal measurement depth of the average flow velocity according to the section width, the depth and the viscosity coefficient, and calculating the average flow velocity and the flow based on a plurality of groups of data measured by the flow velocity measurement module at the optimal measurement depth; And the self-adaptive adjusting system is used for adjusting the adjustable arm according to the optimal measurement depth calculated by the calculation control system and moving the flow velocity measuring module to the optimal measurement depth.
2. The fluid self-adaptive flow rate testing system for detecting the viscosity coefficient of liquid in real time according to claim 1, wherein the bracket comprises a base, the base is provided with a balancing weight or the weight is larger than a set value, the bracket comprises two movably connected bracket rods, an adjustable arm is arranged between the two bracket rods, and the angle between the two bracket rods is changed through the length adjustment of the adjustable arm so as to change the height of a shell for installing a sensor; The adjustable arm is provided with a ball screw transmission mechanism, and the base is provided with a damping mechanism.
3. The fluid adaptive flow rate testing system for real-time fluid viscosity coefficient detection according to claim 1, wherein a fixing mechanism is arranged at the tail end of said adjustable arm, said fixing mechanism is connected with the housing through a rope, and the position/height of the housing is adjusted through the adjustable arm.
4. The fluid self-adaptive flow velocity testing system for detecting the viscosity coefficient of the liquid in real time according to claim 1, wherein the laser range finders comprise two pressure sensors symmetrically arranged on two sides of the shell, the pressure sensor group comprises a plurality of pressure sensors which are sequentially arranged on the lower end of the shell, and the ultrasonic detection module is arranged on the lower end of the shell; The multi-parameter cross-section measurement system further includes a position feedback sensor for detecting its position in the fluid under test.
5. A fluid adaptive flow rate testing system for real-time fluid viscosity coefficient detection according to claim 1, wherein said multi-parameter cross-section measuring system is positioned at the fluid end surface when measuring the cross-section width, depth and pressure of the fluid under test.
6. The fluid self-adaptive flow rate testing system for detecting the viscosity coefficient of real-time liquid according to claim 1, wherein the intelligent viscosity coefficient detecting system comprises a quartz crystal oscillation type viscosity sensor, a multi-point temperature compensation network and a liquid density detecting module, wherein the quartz crystal oscillation type viscosity sensor is used for detecting viscosity, the multi-point temperature compensation network is used for carrying out temperature compensation according to real-time temperature data so as to eliminate the influence of temperature on quartz crystal oscillation frequency and correct the physical change rule of the viscosity of the fluid along with the temperature, and the density detecting module and the dielectric constant analyzing unit are used for detecting the density and the dielectric constant of the fluid so as to comprehensively output a final viscosity coefficient according to the temperature, the density and the dielectric constant through a data fusion algorithm.
7. The fluid self-adaptive flow rate testing system for detecting real-time liquid viscosity coefficient according to claim 1, wherein the self-adaptive adjusting system comprises an AC servo motor driving group, a photoelectric encoder, a multi-axis synchronous controller and an intelligent anti-collision system, wherein the multi-axis synchronous controller is used for receiving the calculated optimal measurement depth and planning a motion track, the AC servo motor driving group is used for driving the adjustable arm to move according to the planned motion track, the photoelectric encoder is used for detecting the position of the adjustable arm, real-time position information is fed back to the multi-axis synchronous controller to form closed-loop control, and the intelligent anti-collision system is used for detecting the distance between the bracket and the adjustable arm so as to prevent collision.
8. The fluid adaptive flow rate testing system for real-time fluid viscosity coefficient detection according to claim 1, further comprising a communication system, wherein said communication system comprises a plurality of communication modules, each of said communication modules having a different communication means for connecting to a cloud.
9. A method of operation based on the system of any one of claims 1-8, comprising the steps of: setting the bracket main body system in a set distance range of fluid to be tested, and supporting other systems; Controlling the adjustable arm, adjusting the height of the shell, and enabling the multi-parameter section measurement system to be positioned on the surface of the fluid to be measured, wherein at least one part of the multi-parameter section measurement system stretches into the fluid to be measured to obtain the section width, the section depth and the section pressure of the fluid to be measured; detecting hydrodynamic viscosity coefficient in real time by using an intelligent viscosity coefficient detection system; The calculation control system calculates the optimal measurement depth of the average flow velocity according to the width, the depth and the viscosity coefficient of the section; The self-adaptive adjusting system is used for adjusting the adjustable arm according to the optimal measurement depth calculated by the calculation control system, adjusting the height of the shell and moving the flow velocity measuring module on the shell to the optimal measurement depth; based on the sets of data measured by the flow rate measurement module at the optimal measurement depth, an average flow rate and flow rate are calculated.
10. The method of claim 9, wherein calculating the optimal measurement depth of the average flow rate based on the cross-sectional width, depth, and viscosity coefficient comprises using a Reynolds number calculation algorithm, re, which is: Re=(ρ×uest×H)/μ; Wherein ρ is the liquid density, kg/m 3 , u_est is the estimated flow rate, m/s, H is the water depth, m, μ is the dynamic viscosity coefficient, pa.s; After the Reynolds number Re is calculated, calculating the optimal measurement depth D by using a depth self-adaptive algorithm according to the Reynolds number Re: Laminar flow region, re is less than or equal to 2000: ; transition region, 2000< re <4000: ; turbulent flow area, re is greater than or equal to 4000: ; Wherein the method comprises the steps of 、、 The coefficient is modified for the type of liquid, Is a roughness function of the bottom bed, H is the water depth, Is an interpolation coefficient between the laminar flow region coefficient and the turbulent flow region coefficient; Or, the liquid type correction coefficient is obtained by utilizing a machine learning optimization algorithm, training and learning based on historical data, utilizing the trained machine learning optimization algorithm and determining according to a real-time value.

Description

Fluid self-adaptive flow velocity testing system and method for detecting viscosity coefficient of liquid in real time Technical Field The invention belongs to the field of fluid flow rate testing, and particularly relates to a fluid self-adaptive flow rate testing system and method for detecting a viscosity coefficient of liquid in real time. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. In the prior art of fluid measurement, the position of a bracket fixed flow rate measurement device in fluid is generally used for measuring the flow rate, however, the prior measurement method has the following technical problems and limitations: (1) The measurement accuracy is limited in that the traditional bracket cannot automatically measure the parameters of the fluid section, and the measurement error is usually 5-15% depending on manual measurement of width and depth. Manual measurements are subject to operator experience, environmental conditions, and measurement tool accuracy limitations, especially in severe weather or complex terrain conditions, with further degradation in measurement accuracy. (2) Limitations of fixed depth factor the existing measurement methods generally employ an empirical fixed depth factor (typically 0.6 times the water depth) when calculating the average flow rate, which ignores differences in viscous properties of different liquid materials. According to the theory of fluid mechanics, the viscosity coefficient of liquid has a decisive influence on the distribution of the flow velocity profile, and the error of a fixed coefficient method in high viscosity or special media can reach 20-30%. (3) The speed profile theory is applied inadequately, according to Prandtl boundary layer theory and Reynolds number Re criterion, the speed profiles under different flow states have obvious difference, namely, the speed profile is in parabolic distribution, the maximum flow velocity is positioned at the depth of 0.5 times below the water surface, the turbulence state (Re > 4000) is in logarithmic distribution, the average flow velocity position is generally 0.368-0.6 times of depth due to the roughness of the bottom bed, the transition flow state (Re less than or equal to 2000) is between the two speed profiles, interpolation calculation is needed, and the existing test system can not automatically adjust the measurement depth according to the Reynolds number characteristics of the actual fluid, so that systematic deviation of the measurement result is caused. (4) The capability of real-time viscosity coefficient detection is lacking, namely complex fluid with viscosity coefficient change is frequently encountered in engineering practice, such as sediment-containing surface runoff) Additive-containing fluid of industrial waste water) Fluid containing mineral matter in underground water) Petrochemical fluid) And the like, the existing measuring system cannot detect the changes in real time, and only preset parameters can be adopted, so that measurement errors are accumulated. (4) The automatic degree is low, the existing measuring system is mostly operated semi-automatically or manually, and needs field adjustment by technicians, so that the efficiency is low, potential safety hazards exist in dangerous environments (such as floods and chemical pollution areas), remote monitoring and automatic adjustment capability is lacking, and the application in unattended scenes is limited. Disclosure of Invention In order to solve the above problems, the present invention provides a fluid adaptive flow rate testing system and method for detecting the viscosity coefficient of a liquid in real time, the invention integrates the functions of real-time viscosity coefficient detection, intelligent depth optimization and full-automatic regulation, can obviously improve the measurement accuracy (25-40%), greatly reduces the operation complexity and realizes real unmanned intelligent measurement. According to some embodiments, the present invention employs the following technical solutions: a fluid self-adaptive flow velocity testing system for detecting real-time liquid viscosity coefficient comprises a bracket main body system, a multi-parameter section measuring system, an intelligent viscosity coefficient detecting system, a calculation control system and a self-adaptive adjusting system, wherein: The bracket main body system comprises a bracket and an adjustable arm connected with the bracket, and is used for being arranged in a set distance range of fluid to be tested and supporting other systems; The multi-parameter section measurement system comprises a shell which is hoisted at the end part of the adjustable arm, wherein a laser range finder, an ultrasonic detection module, a pressure sensor group and a flow velocity measurement module are arranged on the shell and are respectively used for acquiring