A dynamic measurement and calibration method, device and equipment for electronic remote differential pressure liquid level and a medium

Abstract

This application discloses a method, apparatus, equipment, and medium for dynamic measurement and calibration of electronic remote differential pressure liquid level, belonging to the field of liquid level data processing technology. The method includes: acquiring differential pressure signals through a secondary board to generate a raw differential pressure data stream; determining whether the current liquid level environment is in a steady state or a fluctuating state based on the statistical variance of the main board within a preset time window; if determined to be in a steady state, the main board sends a digital command to the secondary board to initiate bidirectional handshake communication, calculating the zero-point correction amount by obtaining the standard reference signal fed back by the secondary board; if determined to be in a fluctuating state, prohibiting the calculation of the zero-point correction amount and activating an adaptive fluctuation suppression algorithm; and calculating the final effective differential pressure value based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm, and converting it into a standard current signal output. This technical solution can output stable and accurate liquid level signals under different operating conditions, significantly improving the stability of industrial process control.

Description

Technical Field

[0001] This application belongs to the field of liquid level data processing technology, specifically relating to a method, device, equipment, and medium for dynamic measurement and calibration of electronic remote differential pressure liquid level. Background Technology

[0002] In industrial process control fields such as petrochemicals, power, food, and pharmaceuticals, accurate liquid level measurement is a crucial link in ensuring production safety and efficiency. Traditional liquid level measurement often uses a dual-flange capillary differential pressure transmitter. Its working principle is to install flange diaphragms at the top and bottom of the storage tank, and use two thin capillary tubes filled with silicone oil to transmit the static pressure of the liquid to the central differential pressure sensor for conversion.

[0003] However, this traditional mechanical remote transmission structure has revealed many inherent defects in practical applications. First, the filling fluid inside the capillary is highly susceptible to ambient temperature, undergoing significant volume expansion or contraction under high or low temperature conditions, leading to severe temperature drift and making it difficult to guarantee measurement accuracy. Second, long-distance capillary laying is not only costly but also has low mechanical strength, making it prone to damage, leakage, or blockage in outdoor or vibrating environments. Once the filling fluid is lost, the entire transmitter becomes unusable. Furthermore, when faced with severe liquid level fluctuations or foam layer interference during tank feeding, traditional analog circuits lack effective digital signal processing methods, often misinterpreting instantaneous fluctuations as real liquid level changes, leading to frequent malfunctions in the control system. Although the industry has attempted to address the fluctuation problem by adding damping valves or mechanical filters, this sacrifices the instrument's response speed. Therefore, a new and accurate measurement solution with intelligent fluctuation recognition capabilities and remote dynamic calibration is urgently needed. Summary of the Invention

[0004] This application provides a method, device, equipment, and medium for dynamic measurement and calibration of electronic remote differential pressure liquid level. The purpose is to solve the problem that traditional capillary differential pressure transmitters are susceptible to temperature drift, pipeline blockage, and medium leakage, which leads to a decrease in accuracy. By using remote transmission of electrical signals and intelligent fluctuation suppression algorithms, liquid level fluctuation interference is eliminated, and high-precision and high-reliability liquid level measurement is achieved under harsh working conditions.

[0005] In a first aspect, embodiments of this application provide a method for dynamic measurement and calibration of electronic remote differential pressure liquid level. The method is performed by an electronic device comprising a sub-board, a main board, and signal cables, and includes the following steps: The differential pressure signal is continuously acquired at a high frequency sampling rate through the sub-board to generate the raw differential pressure data stream. The main board determines whether the current liquid level environment is in a steady state or a wave dynamic state based on the statistical variance of the original differential pressure data stream within a preset time window. If the condition is determined to be steady state, the main board sends a digital command to the secondary board to initiate two-way handshake communication and calculates the zero-point correction by obtaining the standard reference signal fed back by the secondary board. If the condition is determined to be wavy dynamic, the calculation of the zero-point correction is prohibited and the adaptive wavy suppression algorithm is activated. The motherboard calculates the final effective differential pressure value based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm, and converts it into a standard current signal output.

[0006] Furthermore, the process by which the motherboard determines the liquid level environment status based on statistical variance specifically includes: Calculate the standard deviation of the raw differential pressure data stream within the sliding window; The standard deviation σ is compared with a steady-state threshold calibrated based on historical undisturbed operating conditions; When the standard deviation is less than or equal to the steady-state threshold, it is determined to be in a steady state; when the standard deviation is greater than the steady-state threshold, it is determined to be in a wave dynamic state.

[0007] Furthermore, the process of initiating bidirectional handshake communication to obtain the zero-point correction amount includes: The motherboard sends a command to the sub-board to enter self-calibration mode; In response to the command, the sub-board internally switches to the standard reference voltage source input and cuts off the external pressure input; The sub-board transmits the digital signal corresponding to the reference voltage back to the main board; The motherboard compares the deviation between the returned signal and the theoretical reference value to calculate the zero-point correction amount.

[0008] Furthermore, the method also includes After performing a zero-point correction calculation, the mainboard control sub-board resumes external pressure input and collects a verification point data. If the deviation between the data at the calibration point and the theoretical operating condition value exceeds the preset tolerance range, the calibration is deemed to have failed and a fault alarm signal is triggered. At the same time, the last valid zero-point correction amount is locked.

[0009] Furthermore, the process of activating the adaptive fluctuation suppression algorithm specifically includes: Identify the main interference frequency in the raw differential pressure data stream; The cutoff frequency of the digital filter is dynamically adjusted so that it is lower than half of the main interference frequency, in order to filter out high-frequency fluctuation noise. The length of the mean smoothing window is adaptively adjusted based on the magnitude of the fluctuation, so that the smoothing window is longer when the fluctuation magnitude is larger.

[0010] Furthermore, the method also includes: Monitor the slope of differential pressure changes at continuous sampling points; The physical limit velocity threshold is set based on the principles of fluid statics. When the flow velocity corresponding to the monitored slope exceeds the physical limit flow velocity threshold, the sampling point is determined to be a false signal caused by foam or bubbles and is removed, and replaced with the previous valid data point.

[0011] Furthermore, the process of setting the physical limit flow velocity threshold specifically includes: Obtain the real-time density and viscosity of the liquid under current operating conditions; Based on the maximum allowable flow rate of the measured liquid and the preset hydrostatic formula, the limit threshold of the differential pressure change rate is calculated. The aforementioned limit threshold is used as the physical limit flow rate threshold. When the real-time monitored differential pressure change rate exceeds this threshold, it is confirmed as invalid data.

[0012] Secondly, embodiments of this application provide a dynamic measurement and calibration device for electronic remote differential pressure liquid level. The device is configured in an electronic device comprising a sub-board, a main board, and signal cables. The device includes: The data acquisition module is used to continuously acquire differential pressure signals at a high-frequency sampling rate through the sub-board and generate raw differential pressure data streams; The liquid level environment judgment module is used to determine whether the current liquid level environment is in a steady state or a wave dynamic state by using the statistical variance of the original differential pressure data stream within a preset time window based on the motherboard. The control module is used to send digital instructions to the sub-board to start bidirectional handshake communication if the condition is determined to be steady state, and to calculate the zero-point correction amount by obtaining the standard reference signal fed back by the sub-board. If the condition is determined to be wavy dynamic, the calculation of the zero-point correction amount is prohibited and the adaptive wavy suppression algorithm is activated. The output module is used to calculate the final effective differential pressure value and convert it into a standard current signal output based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm through the motherboard.

[0013] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0014] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0015] Fifthly, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0016] The technical solution provided in this application achieves intelligent and highly reliable liquid level measurement by constructing a fluctuation state discrimination-conditional trigger calibration and dynamic-static flow separation processing. This method effectively solves the accuracy degradation problem of traditional capillary transmitters caused by temperature drift and pipeline leakage. By prohibiting zero-point calibration under dynamic fluctuations, it avoids the false cancellation of the true liquid level. At the same time, it uses an adaptive algorithm to filter out false fluctuations caused by feed impact or agitation, and finally outputs a stable and accurate liquid level signal under harsh operating conditions, significantly improving the stability and safety of industrial process control. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the dynamic measurement and calibration method for electronic remote differential pressure liquid level provided in Embodiment 1 of this application; Figure 2 This is a schematic diagram of the product structure provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of the electronic remote differential pressure liquid level dynamic measurement and calibration device provided in Embodiment 2 of this application; Figure 4 This is a schematic diagram of the structure of the electronic device provided in Embodiment 3 of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subroutine, etc.

[0019] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0020] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0021] The following description, in conjunction with the accompanying drawings, details the method, apparatus, equipment, and medium for dynamic measurement and calibration of electronic remote differential pressure liquid level provided in this application, through specific embodiments and application scenarios.

[0022] Example 1 Figure 1 This is a flowchart illustrating the dynamic measurement and calibration method for electronic remote differential pressure liquid level provided in Embodiment 1 of this application. Figure 1 As shown, the specific steps include the following: S11: The differential pressure signal is continuously acquired at a high frequency sampling rate through the sub-board to generate the raw differential pressure data stream; A sub-board refers to a sub-circuit board in an electronic remote differential pressure level transmitter that is responsible for front-end signal acquisition, analog-to-digital conversion, and communication response. For example, it can be a small PCB board that integrates sampling circuits, sensor interfaces, and communication interfaces, or it can be a sub-board that works with the main board to undertake the function of front-end signal acquisition.

[0023] High-frequency sampling rate refers to the signal acquisition rate that is higher than the sampling frequency of conventional industrial instruments. For example, it can be a sampling frequency of 100Hz-10kHz, or a variable high sampling frequency adapted to the needs of capturing dynamic liquid level fluctuations.

[0024] Differential pressure signal refers to the electrical signal corresponding to the difference between the pressure at the bottom of the liquid phase and the pressure at the top of the gas phase in the container. For example, it can be the analog voltage difference signal output by a single-crystal silicon sensor, or it can be the differential pressure electrical signal after preliminary processing by the pressure sensing unit and the conversion unit.

[0025] Raw differential pressure data stream refers to the raw differential pressure signal sequence that has not been filtered, calibrated, or otherwise processed. For example, it can be a continuous digital differential pressure data sequence directly output after sampling by the sub-board, or it can be an initial differential pressure data set that has not been processed by the motherboard algorithm.

[0026] This solution allows a secondary board to interface with the differential pressure signal output from a differential pressure sensor via its integrated sampling circuit and analog-to-digital converter (ADC) module. The signal amplitude is captured point-by-point according to a set high-frequency sampling rate, enabling continuous acquisition of the differential pressure signal. Specifically, the continuously acquired discrete differential pressure sampling points can be sequentially assembled and processed into a transmittable and processable continuous data sequence, forming a raw differential pressure data stream which is then temporarily stored or transmitted to the main board.

[0027] S12: Based on the statistical variance of the original differential pressure data stream within a preset time window, the motherboard determines whether the current liquid level environment is in a steady state or a volatile state.

[0028] The motherboard refers to the core control circuit board in an electronic remote differential pressure level transmitter, which is responsible for data processing, algorithm execution, command control, and signal output. For example, it can be a main control PCB board that integrates a microprocessor, storage module, communication module, and output drive circuit, or it can be a motherboard that undertakes signal processing and remote control functions.

[0029] A preset time window refers to a continuously defined time interval that is set manually to capture segments of raw differential pressure data stream for statistical analysis. For example, it can be a fixed time interval of 1 to 10 seconds, or a variable time interval that is dynamically adjusted according to the operating conditions.

[0030] Statistical variance refers to the average of the squared deviations of each sampling point of the original differential pressure data stream from the mean within a preset time window. It is used to characterize the degree of data fluctuation. For example, it can be a core statistical indicator for measuring the dispersion of differential pressure signals, or a key quantitative parameter for distinguishing between steady-state and wave dynamics of liquid level.

[0031] Liquid level environment refers to the state environment of the liquid being measured inside the container. For example, it can be a working environment where the liquid is still, fluctuates violently, contains bubbles or foam, or it can be the internal working conditions of the container that affect the stability of differential pressure measurement.

[0032] Steady state refers to a stable operating condition where the liquid level changes slowly and the differential pressure signal fluctuates very little. For example, it can be a condition where the liquid in the storage tank is stationary and there is no disturbance from inlet or outlet, or it can be a stable measurement state where the differential pressure signal fluctuation is within the allowable error range.

[0033] Wave dynamics refers to unstable operating conditions where liquid level changes drastically and differential pressure signals fluctuate frequently and with large amplitudes. For example, it can be the conditions of tank inlet and outlet, liquid sloshing, or the generation of bubbles or foam. It can also be an unstable measurement state where differential pressure signal fluctuations exceed the allowable error range.

[0034] This technical solution allows the motherboard to access the raw differential pressure data stream via its internal storage module, extracting data segments within a preset time window as the basis for analysis and providing data support for subsequent statistical calculations. Furthermore, its built-in microprocessor calculates the statistical variance of the raw differential pressure data stream within the preset time window, compares the variance with a preset threshold, and automatically identifies whether the current liquid level environment is in a steady-state or wave-dynamic state based on the comparison result.

[0035] S13: If the condition is determined to be steady state, the main board sends a digital command to the secondary board to initiate bidirectional handshake communication, and calculates the zero-point correction amount by obtaining the standard reference signal fed back by the secondary board. If the condition is determined to be volatile, the calculation of the zero-point correction amount is prohibited and the adaptive ripple suppression algorithm is activated.

[0036] Digital instructions refer to control commands sent by the motherboard in the form of digital signals. For example, they can be binary-coded calibration start instructions, mode switching instructions, or standard digital control signals transmitted via signal cables.

[0037] Two-way handshake communication refers to a two-way data interaction mechanism in which the motherboard and the sub-board send signals to each other and confirm responses. For example, it can be two-way communication based on the UART (Universal Asynchronous Receiver / Transmitter) protocol, or it can be an interaction method that ensures reliable transmission of instructions and accurate reception of feedback.

[0038] A standard reference signal refers to a reference electrical signal with known accuracy generated inside the sub-board. For example, it can be a fixed voltage signal output from a high-precision reference voltage source, or a standard reference signal used to calibrate the zero point and eliminate sensor drift.

[0039] Zero-point correction refers to the compensation value calculated to compensate for sensor zero-point drift and bring the measurement zero point back to the reference value. For example, it can be the deviation compensation value between the measured value and the theoretical value when the differential pressure is zero, or it can be the core correction parameter to eliminate fixed deviations in steady-state calibration.

[0040] An adaptive fluctuation suppression algorithm is an algorithm that can dynamically adjust the suppression strategy according to the fluctuation characteristics and filter out fluctuation noise in the differential pressure signal. For example, it can be a dynamic filtering algorithm, an adaptive smoothing algorithm, or an anti-fluctuation algorithm adapted to long-distance and high differential pressure conditions.

[0041] This technical solution allows the motherboard to transmit encoded digital commands as electrical signals to the secondary board via a signal cable communication interface, enabling the issuance of control commands. Upon receiving the digital commands, the secondary board establishes a bidirectional data interaction link with the motherboard, entering a bidirectional handshake communication state to ensure reliable bidirectional data transmission. The motherboard, through this bidirectional handshake communication link, receives the standard reference signal returned by the secondary board after switching to reference mode, completing the acquisition of the reference signal. Then, the built-in microprocessor compares the deviation between the standard reference signal and the theoretical reference value, calculating the zero-point correction amount used to compensate for zero-point drift. After determining the wave dynamics, the internal logic locks the zero-point calibration process, blocking the triggering conditions for zero-point correction calculation and avoiding invalid calibration under fluctuating conditions. After determining the wave dynamics, the built-in algorithm module is invoked to activate the adaptive fluctuation suppression algorithm, filtering out fluctuation noise from the raw differential pressure data stream.

[0042] S14: The motherboard calculates the final effective differential pressure value based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm, and converts it into a standard current signal output. The final effective differential pressure value refers to the accurate differential pressure value after zero-point correction and fluctuation suppression processing to eliminate drift deviation and noise interference. For example, it can be the final differential pressure measurement value used to convert liquid level height, or it can be the core effective differential pressure data output by the transmitter.

[0043] Standard current signal refers to the standard analog electrical signal commonly used in the field of industrial automation. For example, it can be a 4-20mA DC current signal, or an industrial standard transmission signal compatible with DCS (Distributed Control System) and PLC (Programmable Logic Controller).

[0044] Specifically, the motherboard's built-in microprocessor can superimpose a zero-point correction on the original differential pressure signal, or superimpose the correction and then fuse it with the signal processed by the adaptive fluctuation suppression algorithm, to calculate the accurate final effective differential pressure value. The motherboard uses its digital-to-analog converter (DAC) module to convert the digital final effective differential pressure value into an industry-standard 4-20mA current signal. The motherboard then transmits the converted standard current signal to the DCS or PLC control system via a signal cable, enabling long-distance transmission and remote monitoring of the liquid level data.

[0045] The technical solution provided in this embodiment achieves differentiated processing of steady-state precise zero-point calibration and wave dynamic adaptive suppression through high-frequency sampling and dynamic condition determination. This solves the problems of traditional fixed calibration being susceptible to fluctuation interference and accuracy drift. Two-way handshake communication ensures the purity of the calibration reference. Combined with zero-point correction and fluctuation suppression fusion calculation, it effectively eliminates the influence of sensor zero-point drift and operating noise. The output standard current signal is compatible with remote control systems, taking into account high measurement accuracy, strong adaptability to operating conditions, and stable signal transmission, thereby improving the reliability and accuracy of liquid level measurement under complex operating conditions.

[0046] In one embodiment, optionally, the process by which the motherboard determines the liquid level environmental state based on statistical variance specifically includes: Calculate the standard deviation of the raw differential pressure data stream within the sliding window; The standard deviation is compared with a steady-state threshold calibrated based on historical undisturbed operating conditions; When the standard deviation is less than or equal to the steady-state threshold, it is determined to be in a steady state; when the standard deviation is greater than the steady-state threshold, it is determined to be in a wave dynamic state.

[0047] Among them, a sliding window refers to a time window that moves dynamically over time and captures data streams segment by segment. For example, it can be a continuously scrolling 1-second time interval, or a dynamic window that avoids data truncation and ensures statistical continuity.

[0048] Standard deviation refers to the average degree to which each sampling point of the raw differential pressure data stream deviates from the mean. It is the square root of the variance. For example, it can be an intuitive indicator of the amplitude of differential pressure signal fluctuation, or a fluctuation judgment parameter that is easier to set a threshold for than variance.

[0049] Historical undisturbed operating conditions refer to operating condition data recorded during the equipment's historical operation where the liquid level is stable and undisturbed. For example, it could be differential pressure data records when the storage tank is stationary and there is no material inflow or outflow, or it could be benchmark operating condition data used to calibrate steady-state thresholds.

[0050] Steady-state threshold refers to the standard deviation critical value that distinguishes between steady-state and wave dynamics, calibrated based on historical undisturbed operating conditions. For example, it can be the standard deviation critical value of 0.1 kPa, or it can be a calibrable fluctuation critical value adapted to different operating conditions.

[0051] This technical solution allows the motherboard to capture the raw differential pressure data stream within a sliding window. The built-in processing module calculates the standard deviation of the data within this window, quantifying the signal fluctuation amplitude. Furthermore, the calculated standard deviation is compared with a pre-stored steady-state threshold to determine whether the fluctuation amplitude exceeds the stable range. Based on the comparison results, a steady state is confirmed when the standard deviation is ≤ the steady-state threshold, and a volatile dynamic state is confirmed when the standard deviation is > the steady-state threshold, thus achieving accurate identification of the operating condition.

[0052] This technical solution improves the continuity and accuracy of working condition determination by replacing the fixed variance with the standard deviation of a sliding window and calibrating the threshold based on historical working conditions. It avoids the problem of poor adaptability of fixed windows and fixed thresholds, and further enhances the reliability of working condition identification.

[0053] In one embodiment, optionally, the process of initiating bidirectional handshake communication to obtain the zero-point correction amount includes: The motherboard sends a command to the sub-board to enter self-calibration mode; In response to the command, the sub-board internally switches to the standard reference voltage source input and cuts off the external pressure input; The sub-board transmits the digital signal corresponding to the reference voltage back to the main board; The motherboard compares the deviation between the returned signal and the theoretical reference value to calculate the zero-point correction amount.

[0054] Self-calibration mode refers to the calibration working mode in which the sub-board pauses external pressure acquisition and switches to internal reference signal generation. For example, it can be a dedicated working mode to eliminate external interference and ensure calibration accuracy, or it can be a dedicated operating mode for zero-point calibration under steady state.

[0055] A standard reference voltage source refers to a reference power supply with stable output voltage accuracy integrated inside the sub-board. For example, it can be a high-precision voltage reference chip with an accuracy of 0.01%, or a core reference component that provides a standard reference signal for zero-point calibration.

[0056] External pressure input refers to the external signal input that the subplate receives from the differential pressure sensor, reflecting the actual liquid level differential pressure. For example, it can be the actual differential pressure electrical signal transmitted by the isolation diaphragm and output by the conversion unit, or it can be the front-end signal input in normal measurement mode.

[0057] The theoretical reference value refers to the ideal theoretical value corresponding to the output signal of the standard reference voltage source. For example, it can be a fixed digital quantity corresponding to a 5V reference voltage, or it can be the standard theoretical reference value when calibrating the zero point.

[0058] Specifically, after the mainboard determines a steady state, it sends a digital command to the secondary board via the signal cable to enter self-calibration mode, triggering the calibration process. Correspondingly, upon receiving the command, the secondary board simultaneously performs three actions: recognizing and responding to the calibration command, switching the signal input channel to the internal standard reference voltage source, and disconnecting the signal connection with the external pressure sensor to avoid external signal interference with calibration. The secondary board converts the analog voltage signal output from the standard reference voltage source into a digital signal and sends it back to the mainboard via a two-way handshake communication link. After receiving the returned digital signal, the mainboard compares the deviation with the pre-stored theoretical benchmark value, calculates the zero-point correction amount based on the deviation value, and completes the zero-point drift compensation parameter calculation.

[0059] This technical solution achieves interference-free calibration by switching the internal reference on the sub-board and cutting off external input, ensuring the purity of the reference signal, avoiding interference from external pressure signals on zero-point calibration accuracy, making the zero-point correction calculation more accurate, and effectively compensating for zero-point drift caused by long-term use of the sensor.

[0060] In one embodiment, optionally, the method further includes After performing a zero-point correction calculation, the mainboard control sub-board resumes external pressure input and collects a verification point data. If the deviation between the data at the calibration point and the theoretical operating condition value exceeds the preset tolerance range, the calibration is deemed to have failed and a fault alarm signal is triggered. At the same time, the last valid zero-point correction amount is locked.

[0061] Among them, the calibration point data refers to the first differential pressure data collected after calibration and resumption of normal measurement. For example, it can be the first actual differential pressure sample value collected by the sub-board after calibration, or it can be test data used to verify the effectiveness of calibration.

[0062] The theoretical operating condition value refers to the ideal theoretical value corresponding to the differential pressure signal under the current operating condition. For example, it can be the standard differential pressure value calculated from the known liquid level height, or it can be the benchmark operating condition data to verify the calibration effect.

[0063] The preset tolerance range refers to the error range that is set by the user and allows the data of the calibration point to deviate from the theoretical working condition value. For example, it can be an error range of ±0.02%FS (Full Scale), or it can be an error allowable range that is adapted to the measurement accuracy requirements.

[0064] A fault alarm signal is a warning signal generated by the motherboard to indicate a calibration failure. For example, it can be an alarm code superimposed with a 4-20mA signal, or a fault alarm command transmitted to the control system.

[0065] Effective zero-point correction refers to the zero-point correction that has been verified and stored in historical calibrations. For example, it can be the compensation parameter saved after the last successful calibration, or it can be a backup correction parameter to ensure that the measurement can proceed normally.

[0066] After calculating the zero-point correction, the mainboard issues a command to control the secondary board to switch back to normal measurement mode and reconnect the external pressure input channel. The secondary board then collects an actual differential pressure data as the calibration point data. The mainboard compares the calibration point data with the theoretical operating value. If the deviation exceeds the tolerance range, the calibration is deemed invalid. Simultaneously, a fault alarm signal is generated and sent, and the storage module is called to lock the last valid zero-point correction to prevent invalid correction from affecting the measurement.

[0067] This technical solution forms a calibration-verification-fault tolerance closed loop through calibration-verification, failure alarm, and locking of valid parameters. This avoids the use of invalid zero-point correction values, while promptly alerting to calibration failures, ensuring the continuity and reliability of measurement data, and reducing the impact of failures on production.

[0068] In one embodiment, optionally, the process of activating the adaptive fluctuation suppression algorithm specifically includes: Identify the main interference frequency in the raw differential pressure data stream; The cutoff frequency of the digital filter is dynamically adjusted so that it is lower than half of the main interference frequency, in order to filter out high-frequency fluctuation noise. The length of the mean smoothing window is adaptively adjusted based on the magnitude of the fluctuation, so that the smoothing window is longer when the fluctuation magnitude is larger.

[0069] Among them, the main interference frequency refers to the noise frequency with the largest fluctuation amplitude and the highest proportion in the original differential pressure data stream. For example, it can be the 5Hz fluctuation frequency generated by liquid sloshing, or it can be the core noise frequency that affects the stability of differential pressure measurement.

[0070] A digital filter is a digital processing module built into the motherboard that uses algorithms to filter out noise of a specific frequency in a signal. For example, it can be a low-pass digital filter or a dedicated filtering algorithm module adapted for differential pressure signal processing.

[0071] The cutoff frequency is the highest frequency that a digital filter allows a signal to pass through. Signals above this frequency will be filtered out. For example, it can be a low-pass cutoff frequency of 2Hz, or a filter critical frequency that dynamically adapts to interference frequencies.

[0072] High-frequency fluctuation noise refers to interference signals with frequencies higher than the actual frequency of liquid level changes. For example, it can be high-frequency differential pressure fluctuations caused by liquid sloshing or bubble bursting, or high-frequency interference components that affect measurement accuracy under wave dynamics.

[0073] Fluctuation amplitude refers to the maximum deviation of the original differential pressure signal from the mean. For example, it can be a fluctuation amplitude of ±0.5 kPa, or it can be a quantitative indicator that characterizes the intensity of wave dynamics.

[0074] Mean smoothing window refers to a set of sampling points used to calculate the mean of a signal and smooth fluctuation noise. For example, it can be a smoothing interval containing 10 sampling points, or it can be a processing window that adaptively adjusts its length to balance the smoothing effect and response speed.

[0075] The motherboard uses a spectrum analysis algorithm to perform frequency analysis on the raw differential pressure data stream, locating the main interference frequency with the largest fluctuation amplitude and identifying the core noise frequency band. Based on the identified main interference frequency, the motherboard automatically calculates and sets the cutoff frequency of the digital filter to be lower than half of the main interference frequency. The digital filter filters out high-frequency fluctuation noise above the cutoff frequency, retaining the true liquid level change signal. Furthermore, it can monitor the fluctuation amplitude in real time; the larger the amplitude, the longer the mean smoothing window is automatically extended, and the smaller the amplitude, the shorter the smoothing window is shortened, balancing the fluctuation suppression effect with the signal response speed.

[0076] This technical solution achieves precise adaptation of the fluctuation suppression strategy by identifying the main interference frequency, dynamically adjusting the filter cutoff frequency, and adaptively adjusting the smoothing window. It effectively filters out high-frequency noise and smooths violent fluctuations, while avoiding excessive smoothing that causes lag in the actual liquid level change, thus balancing stability and responsiveness under wave dynamics.

[0077] In one embodiment, optionally, the method further includes: Monitor the slope of differential pressure changes at continuous sampling points; The physical limit velocity threshold is set based on the principles of fluid statics. When the flow velocity corresponding to the monitored slope exceeds the physical limit flow velocity threshold, the sampling point is determined to be a false signal caused by foam or bubbles and is removed, and replaced with the previous valid data point.

[0078] The slope of differential pressure change refers to the ratio of the change in differential pressure between two consecutive sampling points to the time interval. For example, it can be the rate of change of differential pressure per unit time, or it can be a quantitative indicator reflecting the speed of liquid level change.

[0079] The principles of fluid statics refer to the physical principles that study the equilibrium laws and pressure distribution of static fluids. For example, they can be the core principles describing the relationship between liquid pressure and liquid level, or the theoretical basis for deriving the limits of liquid flow velocity.

[0080] The physical limit velocity threshold refers to the maximum critical value of flow velocity that a liquid cannot exceed during normal flow, derived from the physical properties of liquids and the principles of hydrostatics. For example, it can be a liquid limit velocity of 5 m / s, or a critical parameter that distinguishes between real liquid level changes and false signals.

[0081] Foam or bubbles refer to foam generated on the surface of a liquid or bubbles mixed inside the liquid. For example, it can be foam or bubbles generated during the inlet and outlet of a storage tank or during the boiling of a liquid. It can also be an interference source that causes sudden changes in differential pressure signals and generates false peaks.

[0082] False signals refer to abnormal differential pressure signals caused by non-real liquid level changes such as foam, bubbles, and instantaneous impacts. For example, they can be spike signals of instantaneous change in differential pressure, or abnormal sampling points that cause distortion in liquid level measurement.

[0083] Valid data points refer to differential pressure sampling points that truly reflect changes in liquid level after filtering and elimination processing. For example, they can be normal differential pressure data retained after eliminating false signals, or reliable sampling points used to calculate the final effective differential pressure value.

[0084] The motherboard can read the raw differential pressure data stream point by point in real time, calculate the slope of differential pressure change between consecutive sampling points, and track the rate of liquid level change. Based on the principles of fluid statics and combined with parameters such as the density and viscosity of the measured liquid, the physical limit velocity threshold for normal liquid flow is pre-derived and stored. Then, the monitored differential pressure change slope is converted into the corresponding flow velocity. When the flow velocity exceeds the limit threshold, the sampling point is determined to be a false signal caused by foam bubbles; the abnormal point is directly removed, and the previous valid data point is retrieved and used to fill the data gap, avoiding abnormal data from affecting subsequent calculations.

[0085] This technical solution monitors the slope of differential pressure changes, compares physical limit flow velocities to eliminate false signals, accurately identifies signal distortion caused by foam bubbles, avoids false peaks interfering with differential pressure calculations, and further improves the authenticity and reliability of liquid level measurement under wave dynamics.

[0086] In one embodiment, optionally, the process of setting the physical limit flow rate threshold specifically includes: Obtain the real-time density and viscosity of the liquid under current operating conditions; Based on the maximum allowable flow rate of the measured liquid and the preset hydrostatic formula, the limit threshold of the differential pressure change rate is calculated. The aforementioned limit threshold is used as the physical limit flow rate threshold. When the real-time monitored differential pressure change rate exceeds this threshold, it is confirmed as invalid data.

[0087] Real-time density refers to the real-time mass density of the liquid being measured under the current operating conditions. For example, it could be the density of water at room temperature (1000 kg / m³), or it could be a liquid density parameter that is dynamically updated with changes in temperature and composition.

[0088] Viscosity refers to the degree of viscosity of the liquid being measured under current operating conditions. For example, it can be the high viscosity of engine oil at room temperature, the low viscosity of water, or a physical parameter that affects the flow resistance and flow velocity limit of a liquid.

[0089] The maximum permissible flow rate refers to the maximum flow rate value that allows for safe and stable flow of a liquid, set according to the physical properties of the liquid and the operating conditions of the equipment. For example, it could be the permissible flow rate of 3 m / s for a liquid in a chemical pipeline, or it could be a basic operating condition parameter used to derive the limit threshold.

[0090] Fluid statics formulas are mathematical formulas that describe the relationship between liquid pressure, liquid level, flow velocity, and density. For example, they can be Bernoulli's equation, the static pressure formula, or the core formula that inversely calculates the relationship between the rate of change of differential pressure and flow velocity.

[0091] The differential pressure change rate refers to the amount of change in the differential pressure signal per unit time, which is equivalent to the differential pressure change slope. For example, it can be the differential pressure change rate in kPa / s, or it can be an intermediate quantitative indicator for converting liquid flow rate.

[0092] Invalid data refers to differential pressure sampling data that exceeds physical limits and cannot reflect the true changes in liquid level. For example, it can be differential pressure data caused by sudden changes in foam or air bubbles, or it can be abnormal data that is excluded from the calculation of effective differential pressure.

[0093] Specifically, the motherboard can read the density and viscosity data of the liquid being measured in real time through external sensors or operating condition parameter interfaces, dynamically acquiring the liquid's physical parameters under the current operating conditions. The acquired real-time density, viscosity, and maximum allowable flow rate are then substituted into a preset hydrostatic formula to calculate the corresponding differential pressure change rate limit threshold from the flow rate parameters. The motherboard defines the differential pressure change rate limit threshold obtained through this calculation as the physical limit flow rate threshold; the monitored differential pressure change rate is compared with this threshold in real time, and if it exceeds the threshold, the sampling point is directly identified as invalid data, triggering a rejection mechanism.

[0094] This technical solution acquires liquid property parameters in real time and uses formulas to deduce the limit threshold, enabling the physical limit flow velocity threshold to adapt to dynamic changes in operating conditions. This avoids the problem of poor adaptability of fixed thresholds, accurately distinguishes between real liquid level changes and invalid signals, and ensures the scientific nature and accuracy of data rejection.

[0095] To enable those skilled in the art to better understand this solution, this application also provides a preferred embodiment.

[0096] Intelligent electronic differential pressure / level sensors are high-end equipment manufactured in the sensor application industry. They require extremely high standards in design and system calibration, demanding designs that prioritize high precision, low power consumption, and high reliability. They must also be compatible with intelligent algorithms specific to the sensor application field and support the internationally recognized HART communication protocol, enabling networked and integrated management during process processing. Intelligent electronic differential pressure / level sensors are high-end products in the sensor application field, and the domestic market has long been dominated by leading foreign sensor manufacturers such as Rosemount and E+H.

[0097] The core design logic of the electronic remote differential pressure level transmitter is to calculate the liquid level height by measuring the static pressure difference of the liquid and convert the data into a standard electrical signal (such as 4-20mA) for long-distance transmission. Its core design structure consists of three parts: 1. Pressure sensing unit: It is usually a structure of an isolation diaphragm and a filling liquid, which directly contacts the liquid being measured and transmits the pressure to the sensor.

[0098] 2. Conversion Unit: Using a piezoresistive / capacitive sensor, the pressure signal is converted into a weak electrical signal, which is then processed by amplification, filtering and other circuits.

[0099] 3. Remote transmission unit: Converts the processed signal into an industry standard signal, which is compatible with control systems such as DCS and PLC, enabling remote monitoring and control.

[0100] Figure 2 This is a schematic diagram of the product structure provided in an embodiment of this application. For example... Figure 2 As shown, the intelligent electronic differential pressure level transmitter proposed in this invention includes: a sub-plate (1), a main plate (2), a signal cable (3), an isolation diaphragm (4), a housing (5), and a single-crystal silicon sensor (6). The technical solution provided by this invention has the following improvements and significant effects: 1. The core design replaces the traditional capillary pressure transmission method with electrical signal transmission, eliminating problems associated with traditional differential pressure level gauges that rely on physical connections or capillary tubes, such as icing blockages, leaks, evaporation, or condensation leading to unstable hydraulic pressure within the pipes. Furthermore, the intelligent electronic differential pressure / level sensor eliminates measurement deviations caused by changes in medium or ambient temperature, making it suitable for long-distance level monitoring (e.g., tank farms) and high differential pressure conditions.

[0101] 2: Electronic signal transmission reduces mechanical wear and enables higher precision measurement (such as ±0.05% accuracy class), which is suitable for precision liquid level control scenarios.

[0102] 3. The isolation design can cope with harsh working conditions such as corrosive high temperature (400℃) and fluids containing suspended matter / high viscosity, and is suitable for petrochemical, food processing and other fields.

[0103] In this embodiment, in response to the severe fluctuations in liquid level that occur during the feeding or stirring process of the storage tank, this solution provides a specific software implementation logic to accurately distinguish between actual liquid level changes and instantaneous fluctuation interference.

[0104] First, after system initialization, the microcontroller in the sub-board (1) controls the single-crystal silicon sensor (6) to continuously collect differential pressure signals at a high-frequency sampling rate of 100Hz, and transmits the generated raw data stream to the main board (2) in real time through the signal cable (3).

[0105] Next, the microprocessor of the motherboard (2) performs statistical variance calculation on the received raw data stream within a preset 500-millisecond sliding time window to obtain the variance value σ at the current moment. 2 The system has a preset steady-state threshold σ.th 2 (For example, calibration based on 0.01% of full scale).

[0106] If the current variance σ 2 ≤σ th 2 The motherboard determines that the liquid level is in a steady state, at which point it allows two-way digital handshake communication for zero-point self-calibration; if σ 2 >σ th 2 The motherboard then determines that the liquid level is in a volatile state and immediately freezes (disables) the self-calibration process to prevent the fluctuation peak from being misjudged as zero-point drift.

[0107] Subsequently, after confirming that the system is in a wave dynamic state, the motherboard activates an adaptive wave suppression algorithm. Specifically, the system identifies the main interference frequency f of the current data stream. d (e.g., 2Hz oscillation caused by feed impact), and dynamically adjust the cutoff frequency f of the digital filter. c Set it to be slightly lower than f d / 2 (e.g., 0.8Hz) is used to filter out high-frequency noise. Simultaneously, the system monitors the slope of the differential pressure change at consecutive sampling points. | and combined with the density ρ of the liquid being measured, the instantaneous flow velocity is calculated. If this flow velocity exceeds the physical flow velocity threshold v set based on process limits... max If the sampling point is determined to be a false signal caused by foam or cavitation, it will be removed and replaced with the previous valid data point.

[0108] Finally, after the above fluctuation identification and filtering process, the motherboard (2) converts the obtained smooth effective differential pressure value into a 4-20mA standard current signal output, ensuring that the liquid level signal received by the control system remains stable, reliable and without significant jumps under the condition of violent fluctuations in the liquid level.

[0109] Example 2 Figure 3 This is a schematic diagram of the electronic remote differential pressure liquid level dynamic measurement and calibration device provided in Embodiment 2 of this application. Figure 3 As shown, the device is configured in an electronic device comprising a sub-board, a main board, and signal cables, and the device includes: Data acquisition module 301 is used to continuously acquire differential pressure signals at a high frequency sampling rate through the sub-board and generate raw differential pressure data stream; The liquid level environment judgment module 302 is used to determine whether the current liquid level environment is in a steady state or a wave dynamic state by using the statistical variance of the original differential pressure data stream within a preset time window based on the motherboard. The control module 303 is used to send a digital command to the sub-board to start bidirectional handshake communication if the condition is determined to be steady state, and to calculate the zero-point correction amount by obtaining the standard reference signal fed back by the sub-board. If the condition is determined to be wavy dynamic, the calculation of the zero-point correction amount is prohibited and the adaptive wave suppression algorithm is activated. The output module 304 is used to calculate the final effective differential pressure value and convert it into a standard current signal output based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm through the motherboard.

[0110] The electronic remote differential pressure liquid level dynamic measurement and calibration device in this application embodiment can be a system, or a component, integrated circuit, or chip in a terminal. The system can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network-attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not impose specific limitations.

[0111] The electronic remote differential pressure level dynamic measurement and calibration device in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0112] The electronic remote differential pressure liquid level dynamic measurement and calibration device provided in this application embodiment can realize the various processes of the above embodiments, and will not be described again here to avoid repetition.

[0113] Example 3 like Figure 4 As shown, this application embodiment also provides an electronic device 400, including a processor 401, a memory 402, and a program or instructions stored in the memory 402 and executable on the processor 401. When the program or instructions are executed by the processor 401, they implement the various processes of the above-described embodiment of the dynamic measurement and calibration method for electronic remote differential pressure liquid level, and can achieve the same technical effect. To avoid repetition, they will not be described again here.

[0114] It should be noted that the electronic devices in the embodiments of this application include mobile electronic devices and non-mobile electronic devices as described above.

[0115] Example 4 This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described embodiment of the dynamic measurement and calibration method for electronic remote differential pressure liquid level, and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0116] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0117] Example 5 This application also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described embodiment of the dynamic measurement and calibration method for electronic remote differential pressure liquid level, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0118] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, device chip, chip system, or system-on-a-chip, etc.

[0119] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system 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 system. 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 system that includes that element. Furthermore, it should be noted that the scope of the methods and systems in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0120] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0121] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms fall within the scope of protection of this application.

[0122] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A method for dynamic measurement and calibration of electronically transmitted differential pressure liquid level, characterized in that, The method is performed by an electronic device comprising a sub-board, a main board, and signal cables, and the method includes the following steps: The differential pressure signal is continuously acquired at a high frequency sampling rate through the sub-board to generate the raw differential pressure data stream. The main board determines whether the current liquid level environment is in a steady state or a wave dynamic state based on the statistical variance of the original differential pressure data stream within a preset time window. If the condition is determined to be steady state, the main board sends a digital command to the secondary board to initiate two-way handshake communication and calculates the zero-point correction by obtaining the standard reference signal fed back by the secondary board. If the condition is determined to be wavy dynamic, the calculation of the zero-point correction is prohibited and the adaptive wavy suppression algorithm is activated. The motherboard calculates the final effective differential pressure value based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm, and converts it into a standard current signal output.

2. The method according to claim 1, characterized in that, The process by which the motherboard determines the liquid level environment status based on statistical variance specifically includes: Calculate the standard deviation of the raw differential pressure data stream within the sliding window; The standard deviation σ is compared with a steady-state threshold calibrated based on historical undisturbed operating conditions; When the standard deviation is less than or equal to the steady-state threshold, it is determined to be in a steady state; when the standard deviation is greater than the steady-state threshold, it is determined to be in a wave dynamic state.

3. The method according to claim 1, characterized in that, The process of initiating two-way handshake communication to obtain the zero-point correction amount includes: The motherboard sends a command to the sub-board to enter self-calibration mode; In response to the command, the sub-board internally switches to the standard reference voltage source input and cuts off the external pressure input; The sub-board transmits the digital signal corresponding to the reference voltage back to the main board; The motherboard compares the deviation between the returned signal and the theoretical reference value to calculate the zero-point correction amount.

4. The method according to claim 3, characterized in that, The method also includes After performing a zero-point correction calculation, the mainboard control sub-board resumes external pressure input and collects a verification point data. If the deviation between the data at the calibration point and the theoretical operating condition value exceeds the preset tolerance range, the calibration is deemed to have failed and a fault alarm signal is triggered. At the same time, the last valid zero-point correction amount is locked.

5. The method according to claim 1, characterized in that, The process of activating the adaptive fluctuation suppression algorithm specifically includes: Identify the main interference frequency in the raw differential pressure data stream; The cutoff frequency of the digital filter is dynamically adjusted so that it is lower than half of the main interference frequency, in order to filter out high-frequency fluctuation noise. The length of the mean smoothing window is adaptively adjusted based on the magnitude of the fluctuation, so that the smoothing window is longer when the fluctuation magnitude is larger.

6. The method according to claim 5, characterized in that, The method further includes: Monitor the slope of differential pressure changes at continuous sampling points; The physical limit velocity threshold is set based on the principles of fluid statics. When the flow velocity corresponding to the monitored slope exceeds the physical limit flow velocity threshold, the sampling point is determined to be a false signal caused by foam or bubbles and is removed, and replaced with the previous valid data point.

7. The method according to claim 6, characterized in that, The process of setting the physical limit flow velocity threshold specifically includes: Obtain the real-time density and viscosity of the liquid under current operating conditions; Based on the maximum allowable flow rate of the measured liquid and the preset hydrostatic formula, the limit threshold of the differential pressure change rate is calculated. The aforementioned limit threshold is used as the physical limit flow rate threshold. When the real-time monitored differential pressure change rate exceeds this threshold, it is confirmed as invalid data.

8. A dynamic measurement and calibration device for electronic remote differential pressure liquid level, characterized in that, The device is configured in an electronic device comprising a sub-board, a main board, and signal cables, and the device includes: The data acquisition module is used to continuously acquire differential pressure signals at a high-frequency sampling rate through the sub-board and generate raw differential pressure data streams; The liquid level environment judgment module is used to determine whether the current liquid level environment is in a steady state or a wave dynamic state by using the statistical variance of the original differential pressure data stream within a preset time window based on the motherboard. The control module is used to send digital instructions to the sub-board to start bidirectional handshake communication if the condition is determined to be steady state, and to calculate the zero-point correction amount by obtaining the standard reference signal fed back by the sub-board. If the condition is determined to be wavy dynamic, the calculation of the zero-point correction amount is prohibited and the adaptive wavy suppression algorithm is activated. The output module is used to calculate the final effective differential pressure value and convert it into a standard current signal output based on the zero-point correction amount and / or the signal processed by the adaptive fluctuation suppression algorithm through the motherboard.

9. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the dynamic measurement and calibration method for electronic remote differential pressure level as described in any one of claims 1-7.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the dynamic measurement and calibration method for electronic remote differential pressure level as described in any one of claims 1-7.

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