Method and device for controlling the uncertainty of a pitot static pressure tube measurement test

Abstract

The application belongs to a kind of test analysis control method, in view of the problem that pitot static pressure tube measurement comparison test lacks interference isolation, reproducible comparable verification and unified error evaluation scheme under complex industrial environment, leading to insufficient reliability of verification result, a pitot static pressure tube measurement test verification and uncertainty control method and related device are provided, by specifying test verification object and test boundary condition, identifying the main interference factor of introducing measurement uncertainty, accordingly designing the test scheme of isolating interference, so that the verification process has clear boundary and comparable basis. By collecting and comparing the flow field state and pitot static pressure tube measurement results on the verification platform, combined with numerical simulation results to carry out uncertainty source analysis, and using error evaluation system for unified analysis, the measurement accuracy evaluation result and uncertainty control result can be obtained, and the reproducibility, comparability and reliability of the test verification result under complex industrial environment are improved.

Description

Technical Field

[0001] This application pertains to an experimental analysis and control method, specifically relating to a method and related apparatus for verifying and controlling the uncertainty of Pitot hydrostatic tube measurement experiments. Background Technology

[0002] Pitot hydrostatic tubes can be used for fluid flow measurement in closed pipelines. With the increasing complexity of industrial applications, non-ideal factors such as turbulent flow fields and uneven velocity distribution within pipelines are becoming more prevalent, making traditional measurement conditions insufficient to meet the demands for high-precision measurements. Under non-standard conditions, factors such as insufficient upstream and downstream straight pipe lengths, uneven velocity and temperature distribution, and variations in medium humidity can become sources of measurement deviation and uncertainty for Pitot hydrostatic tubes.

[0003] Existing methods typically focus on measurements or verifications under conditions of stable flow, uniform density and temperature, and specified straight pipe sections. These methods can be evaluated through comparative tests on test benches or in industrial settings. However, in real industrial environments, comparative tests are also affected by background flow field disturbances, fluctuations in medium properties, and differences in sensor responses. Without interference isolation, a reproducible and comparable platform, and a unified error evaluation method, it is difficult to accurately determine the true improvement effect of the flow field optimization device and measurement scheme, leading to insufficient reliability of the verification results. Summary of the Invention

[0004] This application addresses the technical problem of insufficient reliability of verification results in Pitot hydrostatic tube measurement and comparison tests due to the lack of interference isolation, reproducibility, comparability, and a unified error evaluation scheme. It provides a method and related apparatus for Pitot hydrostatic tube measurement test verification and uncertainty control.

[0005] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application proposes a method for verifying and controlling the uncertainty of Pitot hydrostatic tube measurement tests, including: Obtain the test verification object and test boundary conditions; the test verification object includes the Pitot hydrostatic tube measurement scheme and / or flow field optimization device, and the test boundary conditions include pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions; Based on the experimental verification object and the experimental boundary conditions, identify the main interfering factors that may introduce measurement uncertainty; Based on the main interference factors, a test plan for isolating interference was determined; According to the experimental plan, the flow field state and the Pitot hydrostatic tube measurement results were collected on the verification platform, and the flow field state and the Pitot hydrostatic tube measurement results were compared to obtain the physical experimental results. Combining numerical simulation results with physical experimental results, an uncertainty source analysis was conducted on the influence of the main disturbance factor on the measurement results of the Pitot hydrostatic tube, and the uncertainty source analysis results were obtained; wherein, the numerical simulation results were obtained by numerical simulation for the experimental boundary conditions and the main disturbance factor; An error evaluation system is used to conduct a unified analysis of the physical experiment results and the uncertainty source analysis results, so as to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

[0006] Furthermore, the pipeline boundary conditions include the length of the upstream straight pipe section and the length of the downstream straight pipe section of the measurement cross-section; The medium condition conditions include the medium operating conditions and humidity conditions; The flow field distribution conditions include velocity distribution and temperature distribution.

[0007] Furthermore, the main interference factors include at least one of background flow field disturbance, medium property fluctuation, and sensor response differences.

[0008] Furthermore, determining the experimental scheme for isolating interference based on the main interference factor includes: Based on the main interference factor, determine the experimental boundary conditions and comparison conditions corresponding to the main interference factor; By controlling the experimental boundary conditions and the comparison conditions, the influence of the main interference factors on the Pitot hydrostatic tube measurement results is isolated.

[0009] Furthermore, the results of the physical experiment include the flow field state, the Pitot hydrostatic tube measurement results, and the comparison results between the flow field state and the Pitot hydrostatic tube measurement results.

[0010] Furthermore, the uncertainty source analysis for the influence of the main interference factor on the Pitot hydrostatic tube measurement results includes: performing a correspondence analysis between the numerical simulation results and the physical experiment results to determine the correspondence between the main interference factor and the changes in the Pitot hydrostatic tube measurement results.

[0011] Furthermore, the uncertainty source analysis results include the analysis results of the influence of background flow field disturbance, medium property fluctuation and / or sensor response differences on the Pitot hydrostatic tube measurement results.

[0012] Secondly, this application proposes a Pitot hydrostatic tube measurement test verification and uncertainty control system, including: The data module is used to acquire the test verification object and test boundary conditions; the test verification object includes the Pitot hydrostatic tube measurement scheme and / or flow field optimization device, and the test boundary conditions include pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions; The interference module is used to identify the main interference factors that may introduce measurement uncertainty based on the experimental verification object and the experimental boundary conditions. The scheme module is used to determine the test scheme for isolating interference based on the main interference factor; The experimental results module is used to collect the flow field state and the Pitot hydrostatic tube measurement results on the verification platform according to the experimental plan, and to compare the flow field state and the Pitot hydrostatic tube measurement results to obtain the physical experimental results. The uncertainty source analysis module is used to combine numerical simulation results and physical experiment results to analyze the uncertainty sources of the influence of the main disturbance factors on the measurement results of the Pitot hydrostatic tube, and obtain the uncertainty source analysis results; wherein, the numerical simulation results are obtained by numerical simulation for the experimental boundary conditions and the main disturbance factors; The unified analysis module is used to perform unified analysis on the results of physical experiments and the results of uncertainty source analysis using an error evaluation system, so as to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

[0013] Thirdly, this application proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for verifying and controlling the uncertainty of the Pitot hydrostatic tube measurement test.

[0014] Fourthly, this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for verifying and controlling the uncertainty of the Pitot hydrostatic tube measurement test.

[0015] Compared with the prior art, this application has the following beneficial effects: This application proposes a method for experimental verification and uncertainty control of Pitot hydrostatic tube measurement. Before the experimental verification begins, the experimental verification object and boundary conditions are obtained. The experimental verification object is determined to be the Pitot hydrostatic tube measurement scheme and / or flow field optimization device. The experimental boundary conditions cover pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions. This ensures that the experimental verification process can be carried out based on a clear understanding of the experimental object and environmental boundaries, avoiding the problem of incomparable verification results due to unclear experimental objects, inconsistent boundary conditions, or unrecorded changes in on-site operating conditions. Simultaneously, this application identifies the main interference factors that may introduce measurement uncertainty based on the experimental verification object and experimental boundary conditions. Based on these main interference factors, an experimental scheme for isolating interference is determined. This establishes a distinguishable analytical relationship between the measurement effect of the object to be verified and external interference factors such as background flow field disturbances, medium property fluctuations, and sensor response differences. This reduces the confusion caused by the simultaneous change of multiple factors in the evaluation of measurement results and improves the ability to identify the true source of error in experimental verification under complex operating conditions. Furthermore, this application collects flow field conditions and Pitot tube measurement results on a verification platform according to the experimental plan, and compares the flow field conditions and Pitot tube measurement results to obtain physical experimental results. This allows changes in measurement results to be judged in conjunction with the corresponding flow field conditions, rather than evaluating the Pitot tube output in isolation from flow field conditions. This improves the reproducibility and comparability of verification results under different measurement schemes, different flow field optimization devices, or different experimental conditions. This application combines numerical simulation results obtained for experimental boundary conditions and main disturbance factors with physical experimental results to analyze the uncertainty sources of the influence of main disturbance factors on Pitot tube measurement results. This allows the flow field change trends reflected in numerical simulations to corroborate the actual measurement responses reflected in physical experiments. Changes in measurement results are judged from both mechanistic analysis and experimental verification perspectives, reducing the one-sidedness of relying solely on field experiments or simulation analysis, and improving the credibility of uncertainty source analysis results. This application also employs an error evaluation system to uniformly analyze the results of physical experiments and the results of uncertainty source analysis, obtaining the measurement accuracy evaluation results and uncertainty control results of the experimental verification object. This allows the experimental comparison results and uncertainty source analysis results to be incorporated into a unified evaluation caliber, enabling the evaluation of the measurement accuracy of the Pitot hydrostatic tube measurement scheme or flow field optimization device in complex industrial environments, as well as the identification of the main uncertainty sources and their control effects. This provides a consistent evaluation basis for the comparison of Pitot hydrostatic tube measurement schemes, the verification of the effect of flow field optimization devices, and the control of measurement uncertainty in complex industrial environments, thereby improving the credibility of the verification results.

[0016] This application also proposes a Pitot hydrostatic tube measurement test verification and uncertainty control system, an electronic device, and a computer-readable storage medium, which possess all the advantages of the above-mentioned parameterization method for thin-walled stringer repair structures. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart illustrating the method for measuring and verifying the Pitot hydrostatic tube and controlling uncertainty in this application. Figure 2 This is a schematic diagram of the Pitot hydrostatic tube measurement test verification and uncertainty control system of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] In industrial process control, energy metering, pipeline operation monitoring, and equipment performance testing, fluid flow rate is a crucial parameter for assessing system operating status and energy efficiency. Pitot tubes are differential pressure measuring elements based on Bernoulli's equation for velocity measurement. They simultaneously acquire the total pressure and static pressure of the fluid, calculate the local velocity from the difference, and then estimate the flow rate by combining this with the pipe cross-sectional area and velocity distribution. Due to their relatively simple structure, good temperature and pressure resistance, and low pressure loss, Pitot tubes are commonly used for flow detection in ducts, flues, compressed air pipelines, steam pipelines, and various gas or liquid transport systems. Under ideal conditions, the fluid within the pipeline should have a well-developed velocity distribution, and the medium's temperature, pressure, density, and other physical properties should remain relatively stable. Only then can the measured differential pressure signal accurately reflect the actual flow velocity. However, real industrial environments are often limited by installation space, pipeline layout, equipment vibration, valve regulation, and upstream and downstream disturbance sources, making it difficult to maintain standardized and ideal measurement conditions over long periods.

[0022] In practical applications, the measurement accuracy of Pitot hydrostatic tubes is easily affected by a variety of non-ideal factors. Typical factors include insufficient straight pipe sections, swirling and deflected flow caused by bends or valves, uneven velocity distribution within the pipe cross-section, uneven temperature field distribution, and fluctuations in the physical properties of the medium due to changes in pressure and temperature. Furthermore, background flow field disturbances can cause random fluctuations in the measurement signal, and differences in response between sensors can lead to inconsistent readings at different measuring points or through different channels under the same operating conditions. For comparative tests under complex operating conditions, these factors often overlap, making it difficult to separate the source of error. This results in the inability to accurately determine whether the measurement error originates from the flow field itself, the measuring device, the data acquisition process, or the validated flow field optimization device.

[0023] To address these issues, existing technologies typically focus on aspects such as pipe layout, flow field rectification, sensor calibration, and data processing. For example, sufficiently long straight pipe sections are installed before and after the measurement point to stabilize the fluid velocity distribution; flow field adjustment components such as rectifiers, honeycomb structures, or perforated plates are placed upstream to reduce swirling, deflected, and large-scale turbulence; pressure sensors, temperature sensors, and differential pressure transmitters are calibrated before testing to reduce instrument errors; and multi-point averaging, time averaging, filtering, or correction factor compensation are used in data processing to improve the stability of measurement results. In some cases, CFD (Computational Fluid Dynamics) simulations are used to analyze the flow field distribution, or experimental platforms are built to compare and verify different rectification and measurement schemes. These methods can improve flow field conditions to some extent, reduce the impact of single interference factors on Pitot tube static pressure measurement results, and provide a reference for the selection and optimization of industrial field measurement schemes.

[0024] However, existing solutions still have certain limitations. On the one hand, industrial sites are often characterized by limited space and frequent changes in operating conditions, making it difficult to meet standard straight pipe sections and ideal rectification conditions. Simply relying on pipe modifications or conventional rectification components cannot fully guarantee the reproducibility of the measurement environment. On the other hand, existing comparative verification methods focus primarily on the measurement results themselves, while failing to adequately control background flow field disturbances, changes in medium properties, differences in sensor dynamic response, and the consistency of platform boundary conditions. This results in a lack of reliable comparability between different test batches and measurement schemes. Especially when evaluating whether flow field optimization devices truly improve measurement accuracy, without a unified interference isolation method, a stable test platform, and a complete uncertainty evaluation method, it is difficult to eliminate the influence of external disturbances and systematic errors on the verification results. Therefore, existing technologies still lack a systematic experimental verification and error evaluation scheme for complex real-world industrial conditions to improve the credibility of judging the accuracy improvement effect of Pitot tube flow measurement.

[0025] Based on the above, this application proposes a method and related apparatus for measuring and verifying the uncertainty of a Pitot hydrostatic tube. The following is a detailed description of this application in conjunction with the embodiments and accompanying drawings.

[0026] like Figure 1 The diagram shown is a flowchart illustrating an experimental verification and uncertainty control method for Pitot hydrostatic tube measurements according to this application. It is used to experimentally verify Pitot hydrostatic tube measurement schemes, flow field optimization devices, or a combination of both, and to identify and control sources of uncertainty affecting the reliability of measurement results during the verification process. It may include: S101, Obtain the experimental verification object and experimental boundary conditions.

[0027] Before conducting experimental verification, the experimental verification object and boundary conditions must be obtained. The experimental verification object can be the Pitot hydrostatic tube measurement scheme to be verified, a flow field optimization device used to improve the flow field state of the measurement section, or a combination of the Pitot hydrostatic tube measurement scheme and the flow field optimization device. The experimental boundary conditions include pipe boundary conditions, medium state conditions, flow field distribution conditions, and field disturbance conditions. Among them, the pipe boundary conditions are used to characterize the influence of the pipe's own arrangement, the location of the measurement section, and the surrounding pipeline environment on the flow state of the fluid before and after entering the measurement area; the medium state conditions are used to characterize the physical state and stability of the measured medium during the test, so that the same measurement result can match the corresponding medium state; the flow field distribution conditions are used to characterize the spatial distribution and variation characteristics of the flow state in the measurement section and its related areas, to reflect the relationship between the local state measured by the Pitot hydrostatic tube and the overall flow state of the section; the field disturbance conditions are used to characterize the unstable effects of industrial field operating equipment, pipeline components, load changes, or external operating environment on the measurement process. By clearly defining the experimental verification object and experimental boundary conditions before the experiment begins, the subsequent experimental verification can have a definite applicable scope, and provide a boundary basis for identifying the main interference factors, designing comparative working conditions, and evaluating measurement uncertainty. This avoids the incomparability of results due to unclear experimental objects or changes in boundary conditions during the verification process.

[0028] S102, based on the working state of the test verification object under the test boundary, identify the main interference factors that may introduce measurement uncertainty.

[0029] This identification process does not merely make a post-hoc judgment on the results of a single measurement point, but rather combines the test object, pipeline environment, medium state, flow field distribution, and on-site disturbance conditions to determine which factors will cause deviations, fluctuations, or response differences in the Pitot hydrostatic pipe measurement results. The resulting main interference factors are used to guide the design of subsequent test schemes, enabling the test verification process to focus on the main sources affecting measurement accuracy.

[0030] S103, Determine the test scheme for isolating interference based on the main interference factor.

[0031] This experimental scheme configures the experimental boundary conditions and comparison conditions to separate the factor under investigation from other interfering factors as much as possible, thereby avoiding the problem of being unable to determine the source of measurement error when multiple interfering factors change simultaneously. For the same experimental verification object, the experimental scheme can set corresponding verification and comparison conditions, so that the changes in the Pitot hydrostatic tube measurement results can establish a correspondence with the isolated main interfering factor.

[0032] S104. According to the test plan, the flow field state and the Pitot hydrostatic tube measurement results are collected on the verification platform, and the flow field state and the Pitot hydrostatic tube measurement results are compared to obtain the physical test results.

[0033] It should be noted that the flow field state reflects the flow distribution in the measurement section and its related areas, while the Pitot hydrostatic tube measurement results reflect the flow rate output of the experimental verification object under the corresponding operating conditions. After data acquisition, the flow field state and the Pitot hydrostatic tube measurement results are compared to obtain the actual experimental results. These actual experimental results include not only the collected measurement data but also the corresponding comparison results between the flow field state and the measurement results, thus providing experimental evidence for determining whether the measurement error originates from changes in the flow field state.

[0034] S105. Combining numerical simulation results and physical experiment results, uncertainty source analysis was conducted on the influence of the main interference factors on the measurement results of the Pitot hydrostatic tube, and the uncertainty source analysis results were obtained.

[0035] Numerical simulation results are obtained based on experimental boundary conditions and main disturbance factors, providing an analytical basis for the impact of changes in flow field, medium state, or disturbance state on measurement results under experimental conditions. By correlating the numerical simulation results with the actual experimental results, uncertainty source analysis results can be obtained, which characterize the correlation between the main disturbance factors and changes in the Pitot hydrostatic tube measurement results.

[0036] S106, The error evaluation system is used to conduct a unified analysis of the physical experiment results and the uncertainty source analysis results to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

[0037] The error evaluation system incorporates experimental comparison results, simulation analysis results, and uncertainty source analysis results into the same evaluation caliber, forming the measurement accuracy evaluation results and uncertainty control results of the experimental verification object. Through this process, the verification results of the Pitot hydrostatic tube measurement scheme or flow field optimization device can be reproducibly and comparablely evaluated in complex industrial environments, thereby improving the credibility of the verification results.

[0038] The present application will be further described in detail below through some more detailed embodiments: In some embodiments of this application, the method is used for experimental verification of Pitot tube measurement schemes and flow field optimization devices in complex industrial environments. In complex industrial environments, pipeline layout, operating load, medium state, and on-site disturbances often change simultaneously, and non-ideal flow field states such as uneven velocity distribution, uneven temperature distribution, swirling flow, deflection flow, or local disturbances may exist at the measurement section. If the effectiveness of the Pitot tube measurement scheme or flow field optimization device is evaluated based solely on a single on-site comparison result, it is easy to mistakenly attribute background flow field disturbances, medium property fluctuations, or sensor response differences to errors caused by the object being verified itself. This embodiment, by clearly defining boundary conditions before the experiment, isolating the main interference factors during the experiment, and combining the results of physical experiments and numerical simulations after the experiment to conduct a unified error evaluation, ensures that the verification results between different operating conditions, different measurement schemes, and different flow field optimization devices are reproducible and comparable.

[0039] The experimental verification and uncertainty control process in this embodiment may include: determining the experimental verification object, obtaining experimental boundary conditions, identifying the main disturbance factors, formulating an experimental plan for isolating disturbances, collecting and comparing the flow field state and Pitot hydrostatic tube measurement results on the verification platform, conducting uncertainty source analysis by combining numerical simulation results and physical experiment results, and finally outputting measurement accuracy evaluation results and uncertainty control results using an error evaluation system. This process can be used for controlled verification under test bench conditions as well as comparative testing under industrial field conditions.

[0040] The experimental verification object can be a Pitot hydrostatic tube measurement scheme, a flow field optimization device, or a combination of both. The Pitot hydrostatic tube measurement scheme can include the selection of the measurement cross-section, the arrangement of measurement points, the method of measurement data acquisition, the differential pressure or dynamic pressure signal processing method, and the result comparison method. The flow field optimization device can be a device used to improve the velocity or temperature distribution of the measurement cross-section. When the experimental verification object is a flow field optimization device, the verification focus is on the changes in the flow field state of the measurement cross-section before and after the device is put into operation, and the impact of these changes on the accuracy of the Pitot hydrostatic tube measurement results. When the experimental verification object is a Pitot hydrostatic tube measurement scheme, the verification focus is on the stability, repeatability, and consistency with reference results of the measurement scheme under different boundary conditions.

[0041] Pipeline boundary conditions can include the lengths of the upstream and downstream straight pipe sections at the measurement cross-section, and can also be recorded in conjunction with the surrounding pipeline environment, such as pipe bends, diameter changes, valves, and confluence or branching points. When using the equivalent pipe diameter D as the length benchmark, the straight pipe section conditions of 20D upstream and 5D downstream at the measurement cross-section can be used as a benchmark reference condition. For scenarios where these straight pipe section conditions are difficult to meet on-site, the actual obtainable upstream and downstream straight pipe section lengths are used as the pipeline boundary conditions to be verified. By recording the pipeline boundary conditions, the impact of insufficient straight pipe sections or pipeline disturbance sources near the measurement cross-section on velocity distribution, temperature distribution, and Pitot tube static pressure measurement results can be analyzed.

[0042] Medium condition conditions can include operating conditions and humidity conditions. Operating conditions can be reflected by operating load, temperature level, pressure level, density conversion conditions, and their stability. Humidity conditions reflect the impact of changes in moisture content on medium properties, temperature distribution, and flow conversion processes. During the experiment, medium condition conditions are recorded synchronously to ensure that the measurement results of the same set of Pitot hydrostatic tubes match the corresponding medium condition at any given time, avoiding distortion in comparisons between different test groups due to medium condition drift.

[0043] Flow field distribution conditions can include velocity distribution and temperature distribution. Velocity distribution can be reflected by the velocity, dynamic pressure, or differential pressure distribution at multiple measuring points within the measurement cross-section, while temperature distribution can be reflected by the temperature differences at multiple measuring points within the measurement cross-section. For Pitot hydrostatic measurements, the dynamic pressure or differential pressure measured at local measuring points needs to represent the overall flow state of the cross-section; when the velocity or temperature distribution is significantly uneven, deviations can easily occur between local measurement results and the average state of the cross-section. Therefore, this embodiment considers velocity and temperature distribution as important components of the experimental results and performs a corresponding analysis with the Pitot hydrostatic measurement results.

[0044] Field disturbance conditions can include upstream equipment operational disturbances, load fluctuations, valve opening changes, swirling or deflected flow within pipelines, temperature field fluctuations, pressure fluctuations, and changes in the field sensor acquisition environment. Field disturbance conditions are not directly equivalent to measurement errors, but rather serve as candidate conditions for identifying the sources of measurement errors. By recording the field disturbance state during the test, measurement differences caused by the object being verified and those caused by changes in field operating conditions can be distinguished in subsequent analysis.

[0045] After obtaining the experimental verification object and experimental boundary conditions, the main interference factors that may introduce measurement uncertainty are identified based on the above conditions. The main interference factors may include at least one of the following: background flow field disturbance, medium property fluctuations, and sensor response differences. Background flow field disturbances mainly manifest as velocity profile distortion, temperature profile distortion, swirling flow, deflection, or unsteady flow; medium property fluctuations mainly manifest as spatial or temporal changes in medium temperature, pressure, humidity, and density conversion conditions; sensor response differences mainly manifest as differences in zero-point stability, sensitivity, response time, acquisition synchronization, or range matching between different measurement channels.

[0046] Under non-ideal conditions of multi-parameter coupling, the influence of a single factor on measurement accuracy is often difficult to separate directly. This embodiment identifies the main interference factor, determines the corresponding experimental boundary conditions and comparison conditions based on it, and isolates the influence of the main interference factor on the Pitot hydrostatic tube measurement results by controlling these conditions. For factors that can be controlled on the experimental bench, conditions other than the factor under investigation can be fixed, and only the factor under investigation can be changed. For factors that are difficult to completely fix in the industrial field, the influence of irrelevant factors can be weakened by repeating experiments, synchronously recording field disturbances, limiting similar load ranges, and maintaining consistent measurement cross-sections and sensor configurations.

[0047] For example, when examining background flow field disturbances, comparative conditions can be set before and after the flow field optimization device is put into operation, or comparative conditions can be set under different upstream straight pipe lengths, different rectification configurations, or different disturbance source states. When examining fluctuations in medium properties, comparative conditions can be set under different medium operating conditions, different humidity states, or different temperature distribution states. When examining differences in sensor response, comparative conditions can be formed by using methods such as simultaneous acquisition by multiple sensors at the same measuring point, cross-comparison of different measurement channels, and repeated acquisition by the same sensor. Through the above experimental schemes, an analyzable correspondence can be established between the main disturbance factors and the changes in the Pitot hydrostatic tube measurement results.

[0048] In some embodiments of this application, the main interference factors in complex industrial environments can be categorized according to background flow field disturbances, media property fluctuations, and sensor response differences. Background flow field disturbances are related to pipeline boundary conditions, velocity distribution, temperature distribution, and on-site disturbance conditions; media property fluctuations are related to media operating conditions, humidity, temperature, and pressure; and sensor response differences are related to sensor type, acquisition channel, response time, and signal synchronization. This method of categorizing interference factors allows for the identification of observation targets, control conditions, and comparison conditions for each type of interference factor during the experimental design phase.

[0049] In practical applications, the verification platform can include a test condition setting unit, a data acquisition and comparison unit, a disturbance analysis unit, and an uncertainty control unit. The test condition setting unit is used to set or record pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions. The data acquisition and comparison unit is used to collect flow field conditions and Pitot tube measurement results, and establish data correspondences under the same operating condition or different comparative operating conditions. The disturbance analysis unit is used to analyze the correspondence between the main disturbance factor and the changes in Pitot tube measurement results by combining the main disturbance factor, numerical simulation results, and physical experiment results. The uncertainty control unit is used to output measurement accuracy evaluation results and uncertainty control results based on the error evaluation system.

[0050] Optionally, the validation platform can be configured with single-point thermometers, thermocouples, electronic micromanometers, extendable S-type Pitot tubes, a computer server, and a computer workstation. The single-point thermometer can be a FLUKE53-2, the thermocouple can be a WRNK-191, the electronic micromanometer can be a Swema, the extendable S-type Pitot tube can be a custom-made device, and the computer server and workstation can be an HP server and a DELL workstation, respectively. The above equipment is used to complete temperature status acquisition, micro-pressure or differential pressure signal acquisition, Pitot tube measurements at different measuring points, test data storage, numerical simulation, and post-processing analysis. The equipment names and models are only optional configurations; the specific installation location, number of measuring points, sampling frequency, range, calibration method, and signal connection method can be determined according to the pipe size, media condition, and on-site installation conditions.

[0051] During the acquisition of physical experiment results, the data acquisition and comparison unit simultaneously acquires the flow field state and the Pitot hydrostatic tube measurement results. The flow field state can include velocity distribution, temperature distribution, humidity, pressure, and on-site disturbance conditions; the Pitot hydrostatic tube measurement results can include dynamic pressure, static pressure, differential pressure, equivalent velocity, or equivalent flow rate. The physical experiment results include the aforementioned flow field state, Pitot hydrostatic tube measurement results, and the comparison results between the flow field state and the Pitot hydrostatic tube measurement results. The comparison results can reflect the differences between different measuring points at the same cross-section, the differences between different times at the same measuring point, the differences before and after the flow field optimization device is put into use, the differences between different measurement schemes, and the differences between the physical experiment results and the numerical simulation results.

[0052] Numerical simulation results can be obtained through a computational fluid dynamics model established for the experimental boundary conditions and main disturbance factors. Model inputs may include pipe geometry, measurement section location, upstream straight pipe length, downstream straight pipe length, medium conditions, humidity state, inlet velocity conditions, temperature boundary conditions, on-site disturbance conditions, and the geometric parameters and arrangement of the flow field optimization device. Model outputs may include the velocity distribution, temperature distribution, pressure distribution, and disturbance evolution state at the measurement section. Numerical simulation results are used to assist in interpreting the experimental results from a flow field mechanism perspective, rather than replacing them.

[0053] When analyzing the correlation between numerical simulation results and experimental results, the interference analysis unit not only compares individual flow rate values ​​but also compares whether the simulated flow field state and the experimentally acquired flow field state exhibit consistent trends. If the numerical simulation shows flow deviation, swirling flow, or velocity profile distortion at the measurement cross-section, and the Pitot hydrostatic tube measurement results under the corresponding operating conditions in the experimental setup also show significant shifts or fluctuations, then background flow field disturbances can be considered a significant source of uncertainty under that operating condition. If changes in temperature distribution, humidity, or pressure state correspond to changes in flow rate conversion results, then fluctuations in medium properties can be considered a source of uncertainty. If both the simulated and actual flow field states are relatively stable, but significant output differences still exist between different sensors or different acquisition channels, then the impact of sensor response differences on the measurement results can be further analyzed.

[0054] It should be noted that the uncertainty source analysis results can include the analysis results of the influence of background flow field disturbances on the Pitot hydrostatic tube measurement results, the analysis results of the influence of medium property fluctuations on the Pitot hydrostatic tube measurement results, and the analysis results of the influence of sensor response differences on the Pitot hydrostatic tube measurement results. The analysis results of background flow field disturbances can reflect the contribution of insufficient straight pipe section, uneven velocity distribution, uneven temperature distribution, or field disturbances to the fluctuation of measurement results. The analysis results of medium property fluctuations can reflect the contribution of changes in medium operating conditions, humidity, temperature, and pressure to the flow conversion results. The analysis results of sensor response differences can reflect the contribution of sensor zero point, sensitivity, response time, acquisition synchronization, or channel consistency to the differences in measurement results.

[0055] In some embodiments of this application, the flow field optimization device may employ one or more of the following: a high-efficiency rectifier, an adaptive flow regulator, a guide vane assembly, and a static mixing unit. The high-efficiency rectifier is used to reduce the impact of swirling, deflected, or large-scale flow field distortions on the measurement cross-section; the adaptive flow regulator is used to improve the local velocity distribution under different operating conditions; the guide vane assembly is used to guide the fluid into the measurement cross-section along a predetermined direction; and the static mixing unit is used to improve the uniformity of temperature distribution or medium state distribution. The above-described flow field optimization device is an optional implementation and is not limited to a specific structure that must be used in this method.

[0056] When validating the flow field optimization device, the velocity distribution, temperature distribution, and Pitot tube measurement results of the measurement section can be collected first without the device in operation to form flow field diagnostic results. Then, after the device is in operation, similar data can be collected under the same or comparable operating conditions. By comparing the changes in velocity distribution uniformity, temperature distribution uniformity, and Pitot tube measurement results before and after the device's implementation, the improvement effect of the flow field optimization device on the flow field state of the measurement section and its contribution to the accuracy of the Pitot tube measurements can be evaluated. Furthermore, the structural parameters, arrangement, or combination of the flow field optimization device can be changed, and the corresponding changes in velocity distribution, temperature distribution, and measurement results can be recorded to establish the correspondence between the device's structural parameters, arrangement, and flow optimization effect.

[0057] In practical applications, the error evaluation system receives results from physical experiments and uncertainty source analysis, and performs unified analysis on data under different experimental verification objects, different experimental boundary conditions, and different main disturbance factors. The error evaluation system can use unified operating condition numbers, measurement point correspondences, data time bases, and evaluation indicators to aggregate experimental bench verification results and industrial field comparison test results. Evaluation indicators can include measurement result deviation, repeatability, consistency of comparison, degree of improvement in velocity distribution uniformity, degree of improvement in temperature distribution uniformity, consistency between numerical simulation and physical experiments, and the contribution of main disturbance factors. In practical applications, appropriate error statistical methods can be selected according to the experimental purpose, industry standards, or standardization research requirements. As an example, the reference measurement result under the same operating condition can be recorded as the baseline result, and the Pitot hydrostatic tube measurement result can be compared with this baseline result to obtain the measurement deviation. The measurement deviations obtained from multiple repeated acquisitions under the same operating condition are statistically analyzed to obtain the repeatability evaluation results. Then, the measurement deviations, repeatability evaluation results, changes in velocity distribution uniformity, and changes in temperature distribution uniformity of different test groups are analyzed accordingly. If, after the flow field optimization device is put into operation, the uniformity of velocity or temperature distribution improves, and the measurement deviation and repeatability fluctuations of the Pitot hydrostatic tube decrease, then this change can be used as an evaluation criterion for improving the measurement accuracy of the flow field optimization device. If, under basically consistent flow field conditions, significant differences still occur between different sensor channels, then these differences can be considered as one of the sources of uncertainty caused by differences in sensor response.

[0058] Then, the measurement accuracy evaluation results can reflect the verification effects of the Pitot hydrostatic measurement scheme, the flow field optimization device, and the combination of the two. For the Pitot hydrostatic measurement scheme, the evaluation results can reflect its stability and comparability under different pipe boundary conditions, media state conditions, and field disturbance conditions. For the flow field optimization device, the evaluation results can reflect its optimization effect on the velocity and temperature distribution of the measurement section, and the contribution of this optimization effect to the measurement accuracy of the Pitot hydrostatic device. For scenarios where the two are used in combination, the evaluation results can reflect the applicability of the measurement scheme and the flow field optimization device in complex industrial environments.

[0059] Uncertainty control results can provide control directions for different main disturbance factors. For operating conditions dominated by background flow field disturbances, the impact of disturbances can be reduced by adjusting the measurement section position, adding or optimizing flow field optimization devices, or changing rectification or guiding configurations. For operating conditions dominated by fluctuations in medium properties, the impact of medium state changes on result comparison can be reduced by improving the synchronicity of the acquisition of state variables such as temperature, humidity, and pressure, or by correcting for medium state under a unified evaluation caliber. For operating conditions dominated by differences in sensor response, the impact of response differences on verification results can be reduced through sensor calibration, cross-comparison of measurement channels, synchronous acquisition, and repeated testing.

[0060] In some embodiments of this application, the method can also be used for uncertainty analysis and technical report preparation in Pitot tube flow measurement under non-standard conditions. By incorporating factors such as insufficient upstream and downstream straight pipe lengths, uneven velocity distribution, uneven temperature distribution, flow field optimization device configuration, and changes in the humidity of the measurement medium into a unified experimental verification process, flow field state data, measurement result data, and uncertainty source analysis data oriented towards engineering practice can be generated. This data can support the explanation of key influencing factors in Pitot tube flow measurement under non-ideal conditions and provide a basis for the selection of measurement schemes, configuration of flow field optimization devices, and error evaluation in complex industrial flow fields.

[0061] In practical applications, the method of this application is used to verify Pitot tube measurements under short straight pipe section conditions. Using the equivalent pipe diameter D as the length benchmark, a straight pipe section of 20D upstream and 5D downstream of the measurement section is first used as the reference condition. Velocity distribution, temperature distribution, medium condition, and Pitot tube measurement results are collected under this condition. Then, conditions with insufficient upstream or downstream straight pipe sections in actual engineering projects are used as the verification condition. Similar data are collected while maintaining consistency in medium conditions, sensor configuration, and measurement section correspondence as much as possible. Subsequently, the flow field conditions and Pitot tube measurement results under the reference and verification conditions are compared, and the impact of insufficient straight pipe sections on velocity distribution, temperature distribution, and Pitot tube measurement results is analyzed in conjunction with numerical simulation results. This application example can be used to determine the source of measurement deviation under short straight pipe section conditions and provide a basis for whether to configure a flow field optimization device.

[0062] The method of this application is used to verify the industrial application effect of a flow field optimization device. The flow field optimization device to be verified may include a high-efficiency rectifier, an adaptive flow regulator, a guide vane assembly, or a static mixing unit. During verification, the velocity distribution, temperature distribution, and Pitot tube measurement results of the measurement section are first collected in the state without the flow field optimization device, forming flow field diagnostic data; then the flow field optimization device is put into operation, and similar data are collected under the same or corresponding operating conditions. By comparing the changes in the uniformity of velocity distribution, temperature distribution, and Pitot tube measurement results before and after the device is put into operation, the improvement effect of the device on the flow field state of the measurement section and its contribution to the accuracy of Pitot tube measurement can be evaluated. If further comparison of different device forms is required, rectifiers, guide vane assemblies, static mixing units, or combinations thereof can be tested separately, and a correspondence between the device structural parameters, arrangement, and flow optimization effect can be established.

[0063] The method described in this application is applied to comparative testing in a real industrial setting. The site can be configured with single-point thermometers, thermocouples, electronic micromanometers, extendable S-type Pitot tubes, a computer server, and a computer workstation. Single-point thermometers and thermocouples are used to collect temperature data at the measurement cross-section or related locations; electronic micromanometers are used to collect micro-pressure or differential pressure signals; extendable S-type Pitot tubes are used to adapt to the arrangement of measurement points at different pipe cross-section locations; and the computer server and workstation are used for experimental data storage, numerical simulation calculations, and error evaluation. During the test, the medium conditions, humidity, on-site disturbance conditions, and sensor output conditions are recorded simultaneously. After the collected data is input into the error evaluation system, measurement accuracy evaluation results and uncertainty control results are obtained, respectively. This application example is suitable for scenarios where it is necessary to judge the actual effectiveness of Pitot tube measurement schemes or flow field optimization devices in a real industrial environment.

[0064] This application applies the method to airflow measurement scenarios such as the primary air duct at the coal mill inlet and the secondary hot air duct at the air preheater outlet. In these scenarios, pipe structure, equipment layout, operating load, and site space conditions may lead to uneven velocity or temperature distribution at the measurement cross-section, and the available straight pipe length may be limited. By collecting velocity distribution, temperature distribution, medium state, and Pitot tube measurement results within the aforementioned ducts, and analyzing the sources of uncertainty based on background flow field disturbances, medium property fluctuations, and sensor response differences, it is possible to determine whether measurement schemes based on flow homogenization, rectification, or flow guidance optimization improve the stability and comparability of airflow measurement results. This application example leverages existing airflow measurement engineering experience to provide a field application basis for verifying Pitot tube measurements in complex ducts.

[0065] Furthermore, in standardization research applications, the method described in this application can be used to generate uncertainty analysis data for Pitot hydrostatic pipe fluid flow measurement under non-standard conditions. During implementation, it can focus on two core dimensions: velocity distribution and temperature distribution, compiling physical experimental results and numerical simulation results under conditions such as insufficient upstream and downstream straight pipe lengths at the measurement cross-section, uneven velocity distribution, uneven temperature distribution, flow field optimization device configuration, and changes in medium humidity. The measurement accuracy evaluation results and uncertainty control results output through a unified error evaluation system can serve as the basis for compiling relevant technical reports, work summary reports, or engineering verification data.

[0066] like Figure 2 The diagram shown is a schematic representation of the Pitot hydrostatic tube measurement test verification and uncertainty control system of this application, which may include: The data module is used to acquire the test verification object and test boundary conditions; the test verification object includes the Pitot hydrostatic tube measurement scheme and / or flow field optimization device, and the test boundary conditions include pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions; The interference module is used to identify the main interference factors that may introduce measurement uncertainty based on the experimental verification object and the experimental boundary conditions. The scheme module is used to determine the test scheme for isolating interference based on the main interference factor; The experimental results module is used to collect the flow field state and the Pitot hydrostatic tube measurement results on the verification platform according to the experimental plan, and to compare the flow field state and the Pitot hydrostatic tube measurement results to obtain the physical experimental results. The uncertainty source analysis module is used to combine numerical simulation results and physical experiment results to analyze the uncertainty sources of the influence of the main disturbance factors on the measurement results of the Pitot hydrostatic tube, and obtain the uncertainty source analysis results; wherein, the numerical simulation results are obtained by numerical simulation for the experimental boundary conditions and the main disturbance factors; The unified analysis module is used to perform unified analysis on the results of physical experiments and the results of uncertainty source analysis using an error evaluation system, so as to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

[0067] It should be noted that, in the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of each block is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple blocks may be combined or integrated into another device, or some features may be ignored or not executed. The modules described as separate components may or may not be physically separated. The components shown as modules may be one or more physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs.

[0068] Furthermore, in the various embodiments of the present invention, the modules can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit described above can be implemented in hardware or as a software functional unit.

[0069] This application also provides an electronic device, which may include one or more processors, memory and communication interfaces.

[0070] The memory, communication interface, and processor are coupled together. For example, the memory, communication interface, and processor can be coupled together via a bus.

[0071] The communication interface is used for data transmission with other devices. The memory stores computer program code. This computer program code includes computer instructions, which, when executed by the processor, cause the electronic device to perform the steps of the aforementioned Pitot hydrostatic tube measurement test verification and uncertainty control method.

[0072] The processor can be a processor or controller, such as a Central Processing Unit (CPU), a general-purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with this disclosure. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The processor can be used to support an electronic device in performing the method steps provided in the above embodiments.

[0073] The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. These buses can be categorized as address buses, data buses, control buses, etc.

[0074] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the above-described method for verifying and controlling the uncertainty of the Pitot hydrostatic tube measurement test.

[0075] The computer-readable storage media involved in this application include random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage media known in the art.

[0076] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for experimental verification and uncertainty control of Pitot hydrostatic tube measurement, characterized in that, include: Obtain the test verification object and test boundary conditions; the test verification object includes the Pitot hydrostatic tube measurement scheme and / or flow field optimization device, and the test boundary conditions include pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions; Based on the experimental verification object and the experimental boundary conditions, identify the main interfering factors that may introduce measurement uncertainty; Based on the main interference factors, a test plan for isolating the interference was determined; According to the experimental plan, the flow field state and the Pitot hydrostatic tube measurement results were collected on the verification platform, and the flow field state and the Pitot hydrostatic tube measurement results were compared to obtain the physical experimental results. Combining numerical simulation results with physical experimental results, an uncertainty source analysis was conducted on the influence of the main disturbance factor on the measurement results of the Pitot hydrostatic tube, and the uncertainty source analysis results were obtained; wherein, the numerical simulation results were obtained by numerical simulation for the experimental boundary conditions and the main disturbance factor; An error evaluation system is used to conduct a unified analysis of the physical experiment results and the uncertainty source analysis results, so as to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

2. The method for verification and uncertainty control of Pitot hydrostatic tube measurement according to claim 1, characterized in that, The pipeline boundary conditions include the length of the upstream straight pipe section and the length of the downstream straight pipe section of the measurement section; The medium condition conditions include the medium operating conditions and humidity conditions; The flow field distribution conditions include velocity distribution and temperature distribution.

3. The method for verification and uncertainty control of Pitot hydrostatic tube measurement test according to claim 1, characterized in that, The main interference factors include at least one of background flow field disturbance, medium property fluctuation, and sensor response differences.

4. The method for verification and uncertainty control of Pitot hydrostatic tube measurement according to claim 1, characterized in that, The step of determining the test plan for isolating interference based on the main interference factor includes: Based on the main interference factor, determine the experimental boundary conditions and comparison conditions corresponding to the main interference factor; By controlling the experimental boundary conditions and the comparison conditions, the influence of the main interference factors on the Pitot hydrostatic tube measurement results is isolated.

5. The method for verification and uncertainty control of Pitot hydrostatic tube measurement according to claim 1, characterized in that, The results of the physical experiments include the flow field state, the Pitot hydrostatic tube measurement results, and the comparison results between the flow field state and the Pitot hydrostatic tube measurement results.

6. The method for verification and uncertainty control of Pitot hydrostatic tube measurement according to claim 1, characterized in that, The uncertainty source analysis for the influence of the main interference factor on the Pitot hydrostatic tube measurement results includes: performing a correspondence analysis between the numerical simulation results and the physical experiment results to determine the correspondence between the main interference factor and the changes in the Pitot hydrostatic tube measurement results.

7. The method for verification and uncertainty control of Pitot hydrostatic tube measurement test according to claim 1, characterized in that, The uncertainty source analysis results include the analysis results of the influence of background flow field disturbance, medium property fluctuation and / or sensor response differences on the Pitot hydrostatic tube measurement results.

8. A Pitot hydrostatic tube measurement test verification and uncertainty control system, characterized in that, include: The data module is used to acquire the test verification object and test boundary conditions; the test verification object includes the Pitot hydrostatic tube measurement scheme and / or flow field optimization device, and the test boundary conditions include pipeline boundary conditions, medium state conditions, flow field distribution conditions, and on-site disturbance conditions; The interference module is used to identify the main interference factors that may introduce measurement uncertainty based on the experimental verification object and the experimental boundary conditions. The scheme module is used to determine the test scheme for isolating interference based on the main interference factor; The experimental results module is used to collect the flow field state and the Pitot hydrostatic tube measurement results on the verification platform according to the experimental plan, and to compare the flow field state and the Pitot hydrostatic tube measurement results to obtain the physical experimental results. The uncertainty source analysis module is used to combine numerical simulation results and physical experiment results to analyze the uncertainty sources of the influence of the main disturbance factors on the measurement results of the Pitot hydrostatic tube, and obtain the uncertainty source analysis results; wherein, the numerical simulation results are obtained by numerical simulation for the experimental boundary conditions and the main disturbance factors; The unified analysis module is used to perform unified analysis on the results of physical experiments and the results of uncertainty source analysis using an error evaluation system, so as to obtain the measurement accuracy evaluation results and uncertainty control results of the experimental verification object.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the Pitot hydrostatic tube measurement test verification and uncertainty control method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the Pitot hydrostatic tube measurement test verification and uncertainty control method as described in any one of claims 1-7.

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