A multi-parameter fusion compensation-based piston pressure gauge measuring system and method
By using a dynamic correction algorithm in a multi-dimensional sensing and computing module, the problems of operational complexity and poor environmental adaptability of traditional piston pressure gauges are solved, achieving high-precision, automated, and intelligent pressure measurement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 北京市石景山区检验检测中心
- Filing Date
- 2026-03-26
- Publication Date
- 2026-06-05
AI Technical Summary
Traditional piston pressure gauges are complex to operate, rely heavily on manual labor, are greatly affected by environmental factors, and lack real-time dynamic compensation and objective steady-state determination, resulting in low measurement efficiency, poor environmental adaptability, and inability to effectively correct dynamic errors.
A multi-dimensional sensing module is used to acquire environmental parameters in real time. Combined with a calculation and processing module, a dynamic correction algorithm is executed, including effective area, air buoyancy, displacement curve steady-state determination and fluid dynamics compensation, to achieve real-time dynamic compensation and intelligent steady-state determination of multiple error sources.
It significantly improves the accuracy and efficiency of pressure measurement, reduces manual intervention, has self-diagnostic function, ensures system stability and the reliability of measurement results, and realizes a high degree of intelligence and high precision of piston pressure gauge.
Smart Images
Figure CN122149734A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of information technology, and in particular to a piston pressure gauge measurement system and method based on multi-parameter fusion compensation. Background Technology
[0002] Piston gauges are currently the primary traceability instruments for high-precision pressure measurement. They are pressure standard instruments based on the principle of mechanical balance and are commonly used as a benchmark for pressure measurement. Simply put, their core logic is to use the pressure generated by a known mass of weight on a piston of known area to balance the pressure of the system being measured.
[0003] However, traditional piston pressure gauges have the following shortcomings in practical applications: First, they are complex to operate and rely on human experience. Traditional equipment typically uses manual pressurization and manual weight addition. The determination of the piston's equilibrium position and descent speed largely depends on the operator's visual assessment, which is not only inefficient but also prone to introducing human error. Second, environmental factors have a significant impact and lack real-time compensation. Temperature changes cause thermal expansion of the piston and cylinder, leading to deviations in the effective area from the nominal value; differences in gravitational acceleration due to different geographical locations directly affect the weight load; and errors such as air buoyancy and changes in medium density cannot be ignored in high-precision measurements. Traditional equipment mostly uses offline correction, making it difficult to achieve real-time dynamic compensation for multiple error sources. Third, dynamic data processing methods are inadequate. During measurement, the piston is usually in a slow descent dynamic state. Traditional methods lack objective and quantitative steady-state judgment criteria, making it difficult to effectively eliminate fluctuations introduced by loading oscillations and environmental disturbances. At the same time, the additional drag effect generated by fluid flow within the piston gap is often ignored in traditional models, limiting further reductions in measurement uncertainty.
[0004] Therefore, how to construct a high-precision piston pressure monitoring system that can sense multi-dimensional environmental parameters in real time, integrate dynamic compensation algorithms, and has intelligent steady-state determination function has become a technical problem that urgently needs to be solved in this field. Summary of the Invention
[0005] The purpose of this invention is to provide a piston pressure gauge measurement system and method based on multi-parameter fusion compensation, in order to solve the technical problems of low measurement efficiency, poor environmental adaptability and inability to effectively correct dynamic errors caused by the reliance on manual operation, lack of real-time dynamic compensation of multiple physical quantities and lack of objective steady-state judgment criteria in traditional piston pressure gauges.
[0006] The technical solution of the present invention is as follows:
[0007] This invention provides a piston pressure gauge measurement system based on multi-parameter fusion compensation, mainly comprising:
[0008] A multi-dimensional sensing module is used to acquire the vertical displacement component of the piston, the ambient temperature, atmospheric pressure and relative humidity around the piston system in real time.
[0009] The calculation and processing module is connected to the multidimensional sensing module, has a built-in fluid dynamics compensation algorithm, and is configured with a preset physical model to dynamically correct the original measured pressure.
[0010] The computational processing module executes the following core algorithm steps to achieve pressure correction:
[0011] Dynamic correction of effective area: Based on real-time collected temperature and pressure values, calculate the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation. ;
[0012] Real-time air buoyancy compensation: Calculate the current air density using real-time environmental parameters, atmospheric pressure, and relative temperature, and correct the air buoyancy error of the weight accordingly;
[0013] Steady-state determination of displacement curve: Time series sampling of piston descent displacement is performed, and linear regression analysis is used to identify and determine whether the piston is in the quasi-static equilibrium range of constant-speed descent. At the same time, fluctuation data outside this range are eliminated to ensure that the displacement data used for pressure calculation has steady-state characteristics.
[0014] Furthermore, it also includes:
[0015] When performing dynamic correction of the effective area, the calculation and processing module uses the following mathematical model to calculate the real-time effective area. : ;in, This is the corrected real-time effective area. The initial area under reference pressure, The coefficient of deformation under pressure is 1. This represents the current fluid pressure inside the piston system. and These are the coefficients of thermal expansion of the piston and cylinder materials, respectively. To monitor temperature in real time, The reference temperature set for equipment calibration.
[0016] The computational processing module also includes a gap fluid dynamics compensation algorithm, which is specifically used to: monitor the descent speed of the piston. Based on the descent speed, calculate the additional vertical drag force generated by the flow of lubricating medium within the gap between the piston and the piston cylinder. ; and, in the static pressure measurement readings, to compensate for the effect of the additional vertical drag force on the static pressure balance, so as to equivalently restore the piston from the uniform descent state to the absolute stationary state.
[0017] The calculation and processing module is also configured with optimal sampling window locking logic, which specifically executes the following steps: calculating the first derivative of the displacement curve in real time to obtain the piston's descent velocity, and calculating its second derivative to obtain the piston's descent acceleration; determining when the acceleration... Approaching zero, and the piston's descent speed When the pressure is within the preset normal leakage threshold range, the system automatically locks the current pressure value as the valid reading.
[0018] The computational processing module is also used to perform geographical location and potential energy correction, specifically including: based on the built-in global gravity model or the obtained locally measured gravitational acceleration value. The force generated by the load is corrected; at the same time, the vertical height difference between the interface of the instrument under test and the piston reference plane is considered. The pressure difference of the liquid column introduced by the height difference is calculated, and the final pressure value is automatically adjusted by addition or subtraction.
[0019] The calculation and processing module is also equipped with a health diagnosis function, which specifically performs the following steps: establishing a standard fingerprint database corresponding to the pressure value and the piston descent speed; collecting the current piston descent speed in real time and comparing it with the historical standard value in the standard fingerprint database to calculate its deviation; when the deviation exceeds a preset threshold, the system automatically determines that the measurement uncertainty of the current reading exceeds the standard and generates corresponding prompt information to instruct the user to check the oil viscosity or piston wear.
[0020] This invention provides a piston pressure gauge measurement method based on multi-parameter fusion compensation, which mainly includes: acquiring multi-dimensional sensing data, wherein the data includes at least the vertical displacement component of the piston, the ambient temperature around the piston system, the atmospheric pressure, and the relative humidity;
[0021] By using a preset physical model and combining the acquired multidimensional sensing data, the original measured pressure is corrected. The correction steps specifically include:
[0022] Based on the real-time acquired temperature and pressure values, the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation is calculated.
[0023] The real-time air density is calculated using the collected environmental parameters to correct the error in the air buoyancy force on the piston;
[0024] The piston's downward displacement data was sampled over time, and linear regression analysis was used to determine whether the piston was in a quasi-static equilibrium range of constant-speed descent, while fluctuating data were removed.
[0025] The beneficial effects of this application are as follows: A piston pressure gauge measurement system and method based on multi-parameter fusion compensation, in use, firstly, by integrating multiple dynamic compensation algorithms, effectively eliminates errors caused by temperature, pressure, air buoyancy, gravitational acceleration, installation height, and fluid dynamics effects, significantly improving the accuracy of pressure measurement. Secondly, the system can automatically determine the steady-state measurement window, automatically perform various error compensations, and has a self-diagnostic function, reducing manual intervention and improving measurement efficiency and reliability. Thirdly, based on real-time data acquisition from multi-dimensional sensing modules, the system can quickly respond to various changes during the measurement process, achieving true dynamic online compensation. Finally, the health diagnosis function can promptly detect system anomalies and prompt maintenance, helping to ensure the long-term stability of the system and the reliability of measurement results. This invention, through the deep integration of multi-dimensional sensing technology and multiple dynamic compensation algorithms, achieves a high degree of intelligence, automation, and high precision in the piston pressure monitoring system, overcoming the technical problems of traditional piston pressure gauges, which rely on manual operation, lack real-time dynamic compensation of multiple physical quantities, and lack objective steady-state judgment standards, resulting in low measurement efficiency, poor environmental adaptability, and ineffective correction of dynamic errors. It has high practical value. Attached Figure Description
[0026] Figure 1 This is a schematic diagram of the hardware structure of a piston pressure gauge measurement system based on multi-parameter fusion compensation according to the present invention. Figure 2 This is a schematic diagram of a piston pressure gauge measurement system based on multi-parameter fusion compensation according to the present invention; Figure 3 This is a flowchart of the core algorithm of the calculation and processing module of a piston pressure gauge measurement system based on multi-parameter fusion compensation according to the present invention. Figure 4 This is a schematic flowchart of a piston pressure gauge measurement method based on multi-parameter fusion compensation according to the present invention. Detailed Implementation
[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described embodiments are merely some embodiments of the invention, and not all embodiments. The components of the embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.
[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.
[0029] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0030] The features and performance of the present invention will be further described in detail below with reference to embodiments.
[0031] A specific embodiment of the piston pressure gauge measurement system and method based on multi-parameter fusion compensation according to the present invention:
[0032] Example 1
[0033] The hardware environment of this embodiment is as follows: Figure 1 As shown, it mainly consists of a piston main unit, a sensor array, and a signal processing unit.
[0034] The piston assembly utilizes tungsten carbide for the piston rod and cylinder, resulting in an extremely low coefficient of thermal expansion. A laser interferometer is vertically mounted above the piston tray for displacement monitoring, with a resolution of 0.01 μm and a sampling frequency of 100 Hz. A high-precision Pt100 temperature sensor is attached to the outer wall of the piston cylinder. A digital barometer and humidity sensor are installed in the laboratory for environmental monitoring. The control terminal is an industrial-grade embedded computer with a built-in computing module, acquiring data from each sensor via a bus.
[0035] like Figure 2 As shown in the figure, this embodiment provides a piston pressure gauge measurement system based on multi-parameter fusion compensation, which may specifically include a multi-dimensional sensing module and a calculation processing module.
[0036] The multidimensional sensing module includes displacement sensors such as laser interferometers, temperature sensors such as high-precision Pt100 temperature sensors, digital barometers, and humidity sensors. These sensors are used to acquire the vertical displacement component of the piston, the ambient temperature, atmospheric pressure, and relative humidity around the piston system in real time.
[0037] The computational processing module is electrically connected to the multidimensional sensing module, has a built-in fluid dynamics compensation algorithm, and is configured with a preset physical model to dynamically correct the original measured pressure.
[0038] To achieve dynamic correction, the preset physical model typically consists of the following four mutually coupled sub-models:
[0039] A. Effective Torque Model: Used to correct for the actual force exerted on the weight under non-vacuum, non-standard gravity conditions. Input: Mass of the weight. Piston mass Local gravity Air density fed back by the environmental monitoring module . formula:
[0040]
[0041] B. Dynamic Effective Area Model: Used to correct for elastic deformation caused by pressure and thermal expansion caused by temperature. Input: Initial area Pressure deformation coefficient Coefficient of thermal expansion Real-time temperature . formula:
[0042]
[0043] C. Gap fluid dynamics model: Used to correct for the viscous drag force caused by piston motion (descending velocity). Input: Piston velocity Oil viscosity Gap width . formula:
[0044]
[0045] D. Liquid column height difference model: Used to correct for the height difference between the measurement reference plane and the instrument under test. Formula:
[0046]
[0047] In one possible implementation, the preset physical model can dynamically correct the original measured pressure in the computational processing module through the following algorithmic logic:
[0048] Step 1: Model Initialization (Static Parameter Loading)
[0049] When the system starts, the piston's "identity data" is loaded from non-volatile memory (such as EEPROM): (Initial area) (deformation coefficient) (piston weight) (Coefficient of thermal expansion of materials).
[0050] Step 2: Multi-source data fusion sampling
[0051] The calculation module retrieves data from each sensor in real time via I2C / SPI or serial port: 1. Displacement sensor: outputs pulse signal, calculates... 2. Temperature sensor: to acquire the piston cylinder wall temperature. 3. Environmental sensors: to acquire... (atmospheric pressure) and (Humidity) is used to calculate real-time air density.
[0052] Step 3: Recursive Iterative Correction Algorithm
[0053] Due to pressure This is both the result we want and the corrected area. For the input, the software uses an iterative approximation method: calculating the initial value. (Preliminary measurement value), then Substituting the four sub-models A, B, C, and D above, calculate the correction amount for the current state. , Wait, output results .like and If the deviation is greater than the threshold, then let Recalculation is usually achieved in 2-3 iterations. Precision.
[0054] The preset physical model is implemented by combining a lookup table stored in the computational processing module with analytical expressions. Specifically, for the viscous drag generated by the piston's descent, the model determines the steady state by using the real-time acquired second derivative of the displacement and calls a pre-stored viscosity-temperature curve function. The fluid viscosity is calculated to achieve real-time quantitative compensation for dynamic pressure loss, with a residual compensation error of less than 0.001%.
[0055] like Figure 3 As shown, the computational processing module executes the following core algorithm steps to achieve pressure correction:
[0056] Step 1: Data Preprocessing and Feature Extraction
[0057] Steady-state determination of displacement curve: Time series sampling of piston descent displacement is performed, and linear regression analysis is used to identify and determine whether the piston is in the quasi-static equilibrium range of constant-speed descent. At the same time, fluctuation data outside this range are eliminated to ensure that the displacement data used for pressure calculation has steady-state characteristics.
[0058] In one possible implementation, displacement sequences are acquired in real time after the system starts up. Using the sliding window technique, a quadratic polynomial fit is performed on the displacement data:
[0059]
[0060] Acceleration calculation: through Determine system stability. When ( When the value is the preset minimum, the piston is determined to have entered the uniform descent phase.
[0061] Speed extraction coefficient: at this time This is the real-time descent speed of the piston. .
[0062] In this embodiment, the preset minimum value The value range is set to to Preferably, the calculation and processing module first performs zero-point noise sampling on the displacement sensor to obtain the background acceleration standard deviation. and will As the preset minimum value under the current environment This dynamically shields the computational interference caused by micro-vibrations of the foundation, ensuring the reliability of the acceleration determination logic.
[0063] Step 2: Multi-factor fusion correction calculation
[0064] After determining that the system is stable, the system enters a correction calculation loop:
[0065] 1. Gravity Correction: Calculates the local gravitational acceleration based on the latitude and longitude coordinates input by the user. .
[0066] Specifically, the force generated by the load is corrected based on the built-in global gravity model or the locally measured gravitational acceleration value g. Simultaneously, the liquid column pressure difference introduced by the vertical height difference h between the interface of the instrument under test and the piston reference plane is calculated. It also automatically adjusts the final pressure value by adding or subtracting.
[0067] 2. Air buoyancy correction: Calculate the current air density using real-time environmental parameters, atmospheric pressure, and relative temperature, and correct the air buoyancy error of the weight accordingly.
[0068] Specifically, according to the formula Calculate the air density, then calculate the effective mass. .
[0069] 3. Dynamic Correction of Effective Area: Based on real-time collected temperature and pressure values, the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation is calculated. .
[0070] Specifically, the system calls the deformation coefficient of the piston set stored in the electrically erasable programmable read-only memory (EEPROM). Based on the current rough pressure measurement Real-time updates The real-time effective area is calculated using the following mathematical model. :
[0071]
[0072] in, This is the corrected real-time effective area. The initial area under reference pressure, The coefficient of deformation under pressure is 1. The input value is the fluid pressure inside the current piston system (i.e., the pressure to be measured). , and These are the coefficients of thermal expansion of the piston and cylinder materials, respectively. To monitor temperature in real time, The reference temperature is the base temperature set during equipment calibration (usually 20°C).
[0073] Step 3: Drag compensation based on fluid dynamics
[0074] The computational processing module also includes a gap fluid dynamics compensation algorithm, which is specifically used to: monitor the descent speed of the piston. Based on the descent speed, calculate the additional vertical drag force generated by the flow of lubricating medium in the gap between the piston and the piston cylinder. In addition, the effect of the additional vertical drag force on the static pressure balance is compensated in the static pressure measurement readings so as to equivalently restore the piston from the uniform descent state to the absolute stationary state.
[0075] In one possible implementation, the additional vertical drag force is calculated within the micro-gap fluid dynamics of the piston pressure gauge. The core lies in understanding the shearing action of the lubricating oil film. When the piston moves at a speed... As it descends, a typical Cuyet flow forms between it and the stationary piston cylinder wall, superimposed with a Poiseuille flow caused by the pressure difference. To calculate this additional vertical drag force, a simplified shear stress model can be used. Its physical equations are as follows:
[0076]
[0077] in: For fluid shear stress, according to Newton's law of internal friction: . The effective force-bearing area, i.e., the surface area of the piston side: . This refers to the dynamic viscosity of the lubricating medium (oil). This represents the real-time descent speed of the piston. This refers to the radial clearance between the piston and the piston cylinder.
[0078] In the computational processing module, to achieve the above calculations, the following modifications also need to be considered:
[0079] 1. Dynamic viscosity acquisition:
[0080] oil viscosity Temperature Extremely sensitive. Fixed values cannot be used in the program; the Reynolds viscosity-temperature formula or a lookup table method should be used instead.
[0081]
[0082] in, It is the viscosity-temperature coefficient of oil.
[0083] 2. Optimizing the gap:
[0084] Because the piston and cylinder will deform under pressure. It is not constant. In precise algorithms, a corrected gap should be used:
[0085]
[0086] Calculate Then, it acts on the piston, manifesting as an upward lifting force (reducing the effective pressure of the piston on the fluid below), therefore compensation is required when taking the reading:
[0087]
[0088] Note: If the piston is descending, the oil film shear force exerts an upward resistance (dragging force) on the piston. This will cause the actual pressure on the piston to be slightly greater than the pressure calculated solely based on the mass of the weights. Therefore, when calculating the final pressure, we need to account for this. Add it back.
[0089] Preferably, the computation processing module in this embodiment is further configured with optimal sampling window locking logic, which specifically executes the following steps:
[0090] The first derivative of the displacement curve is calculated in real time to obtain the piston's descent velocity, and its second derivative is calculated to obtain the piston's descent acceleration. When the acceleration a approaches zero and the piston's descent velocity v is within a preset normal leakage threshold range, the system automatically locks the current pressure value as the valid reading.
[0091] The preset normal leakage threshold range (descent rate threshold) is determined by calibrating the instrument using a standard leakage curve under no-load conditions, and a dynamic threshold range of 0.5 to 1.5 times the historical average descent rate is taken. Preferably, the preset normal leakage threshold range can be set as follows: .in, The speed was set to 0.05 mm / min to eliminate the influence of piston static friction. The flow rate was set to 3.0 mm / min to limit the contribution of fluid shear drag to the uncertainty of the system to no more than 10% of the total allowable error.
[0092] Setting the preset normal leakage threshold range not only eliminates abnormal values, such as sudden speed jumps (e.g., from 1.0 mm / min to 10 mm / min), indicating a significant leak point in the system (e.g., aging of the gasket or bubble precipitation), which the algorithm identifies as abnormal and refuses to lock the pressure value; it also ensures viscosity stability. If the speed is within the range, it indicates that the interstitial flow is a stable laminar flow, at which point the power model is most accurate. In one possible implementation, the calculation processing module also executes reading locking and early warning logic. Specifically, it monitors the piston displacement curve in real time to determine whether the piston is within the preset effective working stroke range (e.g., between 2 mm and 10 mm). Simultaneously, it calculates and displays the descent speed in real time. If the descent speed exceeds the preset abnormal speed threshold (e.g., >2 mm / min), it generates and outputs a warning signal for seal failure (e.g., a red warning pops up on the interface, prompting a seal check). When the piston is within the effective working stroke and the descent speed does not trigger an abnormal warning, it further determines whether the piston's descent acceleration approaches zero and whether the current descent speed is within the preset normal leakage threshold range. When the acceleration approaches zero and the velocity is within the normal leakage threshold range, the system automatically locks the current pressure value as a valid reading. Simultaneously, it continuously monitors temperature fluctuations, and only confirms the reading as valid when the temperature fluctuation rate is below a preset stability threshold (e.g., 0.01℃ / min).
[0093] Preferably, the calculation processing module in this embodiment is further configured with a health diagnosis function, which specifically performs the following steps:
[0094] A standard fingerprint database is established to correlate pressure values with piston descent speed. The current piston descent speed is collected in real time and compared with historical standard values in the fingerprint database to calculate the deviation. When the deviation exceeds a preset threshold, the system automatically determines that the measurement uncertainty of the current reading exceeds the limit and generates a corresponding prompt message to instruct the user to check the oil viscosity or piston wear.
[0095] In one possible implementation, the standard fingerprint database establishing the correspondence between pressure values and piston descent speed is based on a dynamic equilibrium function of Poiseuille flow. Its core logic is: formula mapping:
[0096]
[0097] Core physical logic:
[0098] pressure The larger the diameter, the greater the force driving the fluid through the annular gap, and the faster the piston descends. The faster.
[0099] oil viscosity right It has a significant effect, with an increase in temperature. Reduced, leading to It gets bigger.
[0100] The fingerprint refers to the distance between the piston and cylinder under the same pressure and temperature conditions. The piston descent speed remains constant. It is unique; this is what we call a "fingerprint".
[0101] The standard fingerprint database relating pressure values to piston descent speed was established through a full-range calibration cycle. Specifically, this was conducted in a constant-temperature laboratory (e.g., 20℃ ± 0.1℃), selecting 10 pressure points within 10% to 100% of the measurement range. At each pressure point, after the pressure stabilized, the displacement curves of at least five uniform piston descent processes were recorded, and the average velocity was extracted. Create a lookup table with the following storage format: This refers to the standard velocity values under different pressures and temperatures. By fitting the data points using the least squares method, a "pressure-velocity standard curve" function is obtained. .
[0102] In one possible implementation, the deviation reflects the degree of similarity between the current state and the historical fingerprint. Normalized deviation formula:
[0103]
[0104] Algorithm implementation: 1. Collect current real-time data and 2. Calculate the theoretical standard velocity using fingerprint functions or lookup tables. 3. Calculate the current measured speed. The relative error between the theoretical value and the actual value.
[0105] The preset threshold (deviation threshold) is set based on the accuracy class of the piston gauge. Typically:
[0106] Precision grade (0.005%): Threshold is set between 3% and 5%. This is because even the slightest change in gap or oil contamination can cause a significant deviation in the descent rate.
[0107] Industrial grade (0.02%): The threshold can be relaxed to 10% to 15%.
[0108] If the deviation is less than 5%, the system is normal and can be automatically calibrated; if the deviation is less than 15%, a warning is issued, indicating that the oil may be aging. Although the measurement is still usable, cleaning is recommended; if the deviation is greater than 15%, the fault is locked, the measurement uncertainty has exceeded the limit, and the measurement must be stopped.
[0109] This embodiment constructs a three-dimensional correlation matrix of pressure, temperature, and velocity as a standard fingerprint database during the initial calibration period. During measurement, the calculation and processing module extracts the first derivative of the displacement curve as the current velocity in real time. The standard velocity at that pressure and temperature can be found using bilinear interpolation. The algorithm compares the relative deviations. When the deviation exceeds a preset 5% threshold, the algorithm automatically triggers an early warning for excessive measurement uncertainty, thereby achieving digital monitoring of piston wear and fluid contamination.
[0110] like Figure 4 As shown, the present invention provides a piston pressure gauge measurement method based on multi-parameter fusion compensation, which mainly includes: acquiring multi-dimensional sensing data, wherein the data includes at least the vertical displacement component of the piston, the ambient temperature around the piston system, the atmospheric pressure, and the relative humidity;
[0111] By using a preset physical model and combining the acquired multidimensional sensing data, the original measured pressure is corrected. The correction steps specifically include:
[0112] Based on the real-time acquired temperature and pressure values, the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation is calculated.
[0113] The real-time air density is calculated using the collected environmental parameters to correct the error in the air buoyancy force on the piston;
[0114] The piston's downward displacement data was sampled over time, and linear regression analysis was used to determine whether the piston was in a quasi-static equilibrium range of constant-speed descent, while fluctuating data were removed.
[0115] If the technical solution of this application involves the collection, processing, or application of personal information, the relevant products have, before implementing any personal information processing activities, fully and clearly informed individuals of the processing rules in accordance with the "Personal Information Protection Law of the People's Republic of China" and other current laws and regulations, and obtained their voluntary and explicit consent. If sensitive personal information is involved, the product has obtained the individual's separate consent before processing, and such consent is given in an explicit manner. For example, prominent signs are set up in the area where information collection devices such as cameras are located, clearly indicating "Entering is considered as consent to the collection of personal information"; or through pop-ups, checkboxes, user-initiated uploads, etc., under the premise of clearly listing the processor's identity, processing purpose, processing method, and information type, the user actively completes the authorization operation. The above mechanisms ensure that all personal information processing activities are based on legal authorization and fully comply with national compliance requirements regarding personal information protection.
[0116] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. The scope of patent protection of the present invention shall be determined by the claims. Similarly, any equivalent structural changes made based on the description and drawings of the present invention shall also be included within the scope of protection of the present invention.
Claims
1. A piston pressure gauge measurement system based on multi-parameter fusion compensation, characterized in that, The system includes: A multi-dimensional sensing module is used to acquire the vertical displacement component of the piston, the ambient temperature, atmospheric pressure and relative humidity around the piston system in real time. The calculation and processing module is connected to the multidimensional sensing module, has a built-in fluid dynamics compensation algorithm, and is configured with a preset physical model to dynamically correct the original measured pressure. The computational processing module executes the following core algorithm steps to achieve pressure correction: Dynamic correction of effective area: Based on real-time collected temperature and pressure values, calculate the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation. ; Real-time air buoyancy compensation: Calculate the current air density using real-time environmental parameters, atmospheric pressure, and relative temperature, and correct the air buoyancy error of the weight accordingly; Steady-state determination of displacement curve: Time series sampling of piston descent displacement is performed, and linear regression analysis is used to identify and determine whether the piston is in the quasi-static equilibrium range of constant-speed descent. At the same time, fluctuation data outside this range are eliminated to ensure that the displacement data used for pressure calculation has steady-state characteristics.
2. The piston pressure gauge measurement system based on multi-parameter fusion compensation according to claim 1, characterized in that, When performing dynamic correction of the effective area, the calculation and processing module uses the following mathematical model to calculate the real-time effective area. : ； in, This is the corrected real-time effective area. The initial area under reference pressure, The coefficient of deformation under pressure is 1. This represents the current fluid pressure inside the piston system. and These are the coefficients of thermal expansion of the piston and cylinder materials, respectively. To monitor temperature in real time, The reference temperature set for equipment calibration.
3. The piston pressure gauge measurement system based on multi-parameter fusion compensation according to claim 1, characterized in that, The calculation and processing module further includes a gap fluid dynamics compensation algorithm, which is specifically used for: Monitor the descent speed of the piston ; Based on the descent speed, calculate the additional vertical drag force generated by the flow of lubricating medium within the gap between the piston and the piston cylinder. ; In addition, the effect of the additional vertical drag force on the static pressure balance is compensated in the static pressure measurement readings to equivalently restore the piston from a uniform descent state to an absolutely stationary state.
4. The piston pressure gauge measurement system based on multi-parameter fusion compensation according to claim 1, characterized in that, The computation processing module is also configured with optimal sampling window locking logic, which specifically executes the following steps: The first derivative of the displacement curve is calculated in real time to obtain the piston's descent velocity, and its second derivative is calculated to obtain the piston's descent acceleration. Determine when the acceleration Approaching zero, and the piston's descent speed When the pressure is within the preset normal leakage threshold range, the system automatically locks the current pressure value as the valid reading.
5. The piston pressure gauge measurement system based on multi-parameter fusion compensation according to claim 1, characterized in that, The computational processing module is also used to perform geographic location and potential energy correction, specifically including: Based on the built-in global gravity model or the locally measured gravitational acceleration value. This corrects the force generated by the load; Simultaneously, based on the vertical height difference between the instrument interface under test and the piston reference plane... The pressure difference of the liquid column introduced by the height difference is calculated, and the final pressure value is automatically adjusted by addition or subtraction.
6. The piston pressure gauge measurement system based on multi-parameter fusion compensation according to claim 1, characterized in that, The computing module is also equipped with a health diagnosis function, which specifically performs the following steps: Establish a standard fingerprint database that correlates pressure values with piston descent speed; The current piston descent speed is collected in real time and compared with the historical standard value in the standard fingerprint database to calculate its deviation. When the deviation exceeds a preset threshold, the system automatically determines that the measurement uncertainty of the current reading exceeds the standard and generates a corresponding prompt message to instruct the user to check the oil viscosity or piston wear.
7. A method for measuring piston pressure gauges based on multi-parameter fusion compensation, characterized in that, The method includes: Acquire multidimensional sensing data, which includes at least the vertical displacement component of the piston, the ambient temperature around the piston system, atmospheric pressure, and relative humidity; By using a preset physical model and combining the acquired multidimensional sensing data, the original measured pressure is corrected. The correction steps specifically include: Based on the real-time acquired temperature and pressure values, the real-time effective area of the piston and its cylinder after thermal expansion and pressure deformation is calculated. The real-time air density is calculated using the collected environmental parameters to correct the error in the air buoyancy force on the piston; The piston's downward displacement data was sampled over time, and linear regression analysis was used to determine whether the piston was in a quasi-static equilibrium range of constant-speed descent, while fluctuating data were removed.