Pressure measurement system in a closed reaction vessel
By employing redundant backup design and dynamic compensation technology, the problems of pressure signal distortion and single-point failure in the pressure measurement system of the sealed reaction vessel were solved, achieving high-precision and reliable pressure monitoring and ensuring production safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YANTAI ZHIMEI CHEM TECH CO LTD
- Filing Date
- 2026-05-27
- Publication Date
- 2026-07-03
AI Technical Summary
Existing pressure measurement systems for closed reaction vessels suffer from issues such as distorted pressure tapping signals, high risk of single-point failure, and poor tolerance to harsh operating conditions, which affect measurement accuracy and production safety.
The design incorporates redundant pressure tapping and measurement modules, employing primary and backup pressure tapping ports and pipelines. It integrates MEMS micro-flow sensors and corrosion-resistant pressure sensors, and utilizes a signal processing module for dynamic compensation and data fusion. An anti-interference mechanism is also added to achieve dynamic correction and early warning of pressure measurements.
It significantly improves the accuracy and stability of pressure measurement, avoids single-point failure, enhances the system's tolerance to harsh conditions such as high temperature, strong corrosion, and strong vibration, reduces operation and maintenance costs, and ensures production safety.
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Figure CN122321765A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of closed reaction vessel technology, and more particularly to a pressure measurement system for closed reaction vessels. Background Technology
[0002] Closed reaction vessels are widely used in chemical, pharmaceutical, new energy, and new materials industries. Their internal pressure is a critical process parameter that directly affects reaction efficiency, product quality, and production safety. Existing pressure measurement systems for closed reaction vessels generally have many shortcomings, seriously affecting measurement accuracy and production safety. The three most prominent problems are as follows: 1. Severe distortion of pressure tapping signals: The design of pressure tapping ports in existing systems is unreasonable, often located in turbulent flow fields or liquid / gas accumulation areas. Furthermore, the pressure tapping pipelines are often too long, too thin, or have U-bends, leading to pressure transmission lag and fluctuations. Simultaneously, liquid, gas, or blockages easily occur within the pipelines, further exacerbating measurement errors. In addition, the thermal expansion and contraction of the pressure tapping medium also affects the small-range pressure. 1. Measurement interference leads to decreased measurement accuracy; 2. High risk of single-point failure: Existing systems mostly adopt a single pressure tap and single sensor design without redundancy backup. When the pressure tapping line is blocked or the sensor fails, the pressure monitoring capability will be directly lost, and the pressure abnormality in the reaction vessel cannot be detected in time, which can easily lead to safety accidents such as overpressure, leakage or even explosion; 3. Poor tolerance to harsh working conditions: The working environment of a closed reaction vessel is often accompanied by harsh conditions such as high temperature, strong corrosion and strong vibration. The shell material and sealing performance of ordinary pressure sensors cannot adapt to such working conditions, and problems such as sensor damage, sealing failure and signal leakage are prone to occur; at the same time, ambient temperature and vibration will interfere with the sensor's detection signal, resulting in decreased measurement stability; In light of the above, this application proposes a pressure measurement system for a closed reaction vessel. Summary of the Invention
[0003] Based on the technical problems existing in the background art, the present invention proposes a pressure measurement system for a closed reaction vessel.
[0004] The pressure measurement system for a sealed reaction vessel proposed in this invention includes a reaction vessel body, a pressure tapping module, a measurement module, a signal processing module, an early warning module, and a power supply module; The pressure tapping module is connected to the reaction vessel body and is used to collect the pressure medium inside the reaction vessel body; The measurement module includes a pressure sensor and a micro-flow sensor. The micro-flow sensor is connected in series in the pipeline of the pressure tapping module to monitor the micro-flow status of the medium in the pressure tapping pipeline. The pressure sensor is used to collect the pressure signal transmitted by the pressure tapping module. The signal processing module is electrically connected to the pressure sensor and the micro-flow sensor, and is used to receive and process the pressure signal and the micro-flow signal to realize dynamic compensation of pressure measurement. The early warning module is electrically connected to the signal processing module and is used to issue early warnings based on the processed pressure signal and micro-flow signal. The power supply module provides a stable power supply for the entire system.
[0005] Preferably, the pressure tapping module includes a main pressure tap, a backup pressure tap, a main pressure tapping pipeline, a backup pressure tapping pipeline, and a manifold. The main pressure tap and the backup pressure tap are respectively located at different positions on the reaction vessel body. The main pressure tap is located in the fluid stability zone inside the reaction vessel, and the backup pressure tap serves as a redundant backup. One end of the main pressure tap is connected to the main pressure tap, and the other end is connected to the manifold. One end of the backup pressure tap is connected to the backup pressure tap, and the other end is connected to the manifold. A micro-flow sensor and a pressure sensor are connected in series on both the main pressure tap and the backup pressure tap. Each main pressure tap and each backup pressure tap is equipped with a drain valve and a heat tracing device.
[0006] Preferably, the micro-flow sensor is a MEMS micro-flow sensor with a measurement range of 0.01-10 mL / min and an accuracy of not less than ±0.1%. It can monitor the flow status of the medium in the main pressure tapping pipeline and the backup pressure tapping pipeline in real time. When the micro-flow sensor detects that the flow rate of the medium in the pipeline is lower than the preset threshold, it is determined that the pipeline is blocked, liquid is accumulated or gas is accumulated. The signal processing module immediately starts the dynamic compensation algorithm and triggers the early warning module to issue a pipeline abnormality warning. Its operational logic steps are as follows: S101: System Initialization: After the micro-flow sensor is powered on, it completes a self-test to confirm that the sensor is fault-free. At the same time, it loads preset parameters, including measurement range, accuracy calibration coefficient, sampling frequency, and micro-flow preset threshold. After initialization, it enters real-time monitoring mode; S102: Real-time flow signal acquisition: The micro-flow sensor acquires the instantaneous flow rate of the medium in the pressure tapping pipeline through the thermal detection principle of the MEMS chip. Where i is the number of samples, i=1,2,3...n, and the sampling time is recorded synchronously during the sampling process. To ensure complete synchronization with the sampling time of the pressure sensor and avoid signal misalignment, the raw flow signal acquired needs to undergo preliminary filtering to eliminate electromagnetic and vibration interference. The filtering formula adopts the moving average filtering method, and its formula is as follows: ,in Let N be the filtered instantaneous flow rate after the i-th sample, and N be the sliding window length. The original instantaneous flow rate is the value of the k-th sample. S103: Flow Accuracy Calibration: Based on the accuracy specifications of the micro-flow sensor, the filtered instantaneous flow rate is calibrated to eliminate sensor-specific errors. The calibration formula is as follows: ,in Let K be the instantaneous flow rate after calibration for the i-th sample, and K be the accuracy calibration coefficient, which is preset according to the sensor's factory calibration data, with a value range of -0.001 to +0.001 to ensure that the flow rate accuracy after calibration is not less than ±0.1%. S104: Abnormal State Judgment: The calibrated instantaneous flow rate... With preset threshold A comparison is performed to determine whether there is any blockage, fluid accumulation, or gas accumulation in the pressure tapping line. The determination logic is as follows: when When the pipeline is deemed to be in normal condition, the micro-flow sensor will transmit the calibrated flow signal. The signal is transmitted to the signal processing module, which does not initiate dynamic compensation but only synchronously receives the pressure signal from the pressure sensor. when During this time, continuous monitoring is performed for 3-5 consecutive sampling cycles to avoid misjudgment caused by instantaneous fluctuations. After the misjudgment is eliminated, it is officially determined that there is a blockage, liquid accumulation, or gas accumulation in the pipeline. At this time, the micro-flow sensor sends an abnormal trigger signal to the signal processing module. S105: Linkage Compensation and Early Warning Trigger: After receiving the abnormal trigger signal from the micro-flow sensor, the signal processing module immediately starts the dynamic compensation algorithm, calculates the pressure measurement deviation based on the micro-flow deviation, and dynamically corrects the pressure signal collected by the pressure sensor. The compensation formula is as follows: ; ; in This is the pressure compensation amount. For compensation coefficient, The raw pressure signal acquired by the pressure sensor. The pressure signal after compensation; Simultaneously, the signal processing module triggers the early warning module, sending a pipeline abnormality signal. The early warning module immediately activates audible and visual warnings and remote warnings, while simultaneously recording the flow rate value at the time of the abnormality. Pressure value and compensation amount This facilitates subsequent tracing and troubleshooting; S106: Anomaly Recovery Monitoring: After the warning is triggered, the micro-flow sensor continuously monitors the pipeline flow in real time. The flow rate recovers after 3-5 consecutive sampling cycles of calibration. When the pipeline abnormality is determined to have been resolved, the micro-flow sensor sends a recovery signal to the signal processing module. The signal processing module then stops the dynamic compensation algorithm, the early warning module stops issuing warnings, and the system returns to normal monitoring status.
[0007] Preferably, the signal processing module includes a signal filtering unit, a temperature compensation unit, a micro-flow linkage compensation unit, and a data fusion unit. The signal filtering unit is used to filter electromagnetic interference and vibration interference in the pressure signal and micro-flow signal. The temperature compensation unit is used to eliminate the influence of ambient temperature on the pressure sensor and the micro-flow sensor. The micro-flow linkage compensation unit is used to dynamically correct the pressure signal collected by the pressure sensor according to the detection signal of the micro-flow sensor, and to compensate for the measurement deviation caused by pipeline blockage, liquid accumulation, and gas accumulation. The data fusion unit is used to fuse the pressure signals of the main and backup pressure tapping pipelines and output the final pressure measurement value. The specific logical steps are as follows: S201: Signal Synchronization Input: The signal processing module receives two types of signals in real time from the main and backup pressure tapping lines—the raw pressure signal collected by the pressure sensor. , and the calibrated flow signal transmitted by the microflow sensor. , All signals are input synchronously at a frequency of 1-10Hz to ensure signal timing alignment and avoid processing misalignment. The input signals must meet the following requirements: , ,in These are the upper and lower limits of the working pressure of the reaction vessel; S202: The signal filtering unit operates, performing bidirectional filtering on the input pressure and micro-flow signals. It focuses on eliminating electromagnetic and vibration interference, employing a combination of RC low-pass filtering and moving average filtering to balance filtering effectiveness and real-time signal performance. The specific formula is as follows: Pressure signal filtering formula: ,in This is the filtered pressure signal. The current sampled raw pressure signal, This is the pressure signal after the previous sampling and filtering. This is the filter coefficient, preset to 0.1-0.3, adjusted according to the interference intensity. Stronger interference results in higher values. The smaller the value; Micro-flow signal filtering formula: ,in The signal is the final filtered micro-flow rate signal, where M is the length of the filtering window. The calibrated microflow signal is obtained from the j-th sample. This represents the current number of samples. S203: The temperature compensation unit operates, synchronously acquiring the ambient temperature T, and performing temperature compensation on the filtered pressure signal and micro-flow signal respectively to eliminate errors caused by temperature drift. The compensation formula is as follows: Pressure signal temperature compensation formula: ,in This is the pressure signal after temperature compensation. The temperature coefficient of the pressure sensor. For standard calibration temperature; Micro-flow signal temperature compensation formula: ,in This is the micro-flow signal after temperature compensation. Temperature coefficient of the microflow sensor; S204: The micro-flow linkage compensation unit is working, using the temperature-compensated micro-flow signal. As the basis for judgment, combined with the preset threshold of micro-flow rate For the pressure signal after temperature compensation Dynamic correction is performed to compensate for measurement deviations caused by pipeline blockage, liquid accumulation, or gas accumulation. This is implemented under two operating conditions, as detailed below: Operating Condition 1: The pipeline is normal, no compensation is required, and the pressure signal remains unchanged, i.e.: ; Operating Condition 2: Pipeline abnormality, dynamic compensation is activated. The compensation formula consists of two steps: S2041: Calculate the flow deviation coefficient : ,in This is the flow deviation coefficient; S2042: Calculate the pressure compensation amount and correct the pressure signal. ; ; in This is the pressure compensation amount. For compensation coefficient, This is the final compensated pressure signal; S205: The data fusion unit is working, processing the pressure signals after compensation from the main and backup pipelines. and To achieve a balance between measurement accuracy and system reliability, a weighted average fusion algorithm is employed, along with fault diagnosis logic. The specific logic and formulas are as follows: Fault diagnosis: If a small flow signal in a certain pipeline... If the pressure signal of the pipeline fails to persist for more than 10 sampling cycles, the pipeline is determined to be faulty. During fusion, the pressure signal of the pipeline is removed and only the pressure signal of the normal pipeline is used as the output. If both pipelines are normal, weighted fusion is performed. Weighted fusion formula: ,in The final pressure measurement value output by the system. For the main road weighting coefficient, This is the weighting coefficient for the backup pipeline, and it satisfies... Under normal operating conditions, the main pipeline weight backup pipeline weight If the main pipeline fails Conversely ; S206: Signal output and linkage; the data fusion unit will input the final pressure measurement value. Synchronously transmitted to the early warning module and the remote monitoring module; if If the preset safety threshold is exceeded, or if the micro-flow linkage compensation unit determines that the pipeline is abnormal, the signal processing module will simultaneously trigger the early warning module to start the audible and visual early warning and the remote early warning, thus completing the entire signal processing process.
[0008] Preferably, the early warning module includes an audible and visual early warning unit and a remote early warning unit. When the pressure measurement value exceeds the preset safety threshold and the micro-flow sensor detects an abnormality in the pipeline, the audible and visual early warning unit immediately issues an audible and visual alarm, and the remote early warning unit sends the early warning information to the operation and maintenance terminal through the wireless communication module, while recording the abnormal data for subsequent traceability. The specific logical steps are as follows: S301: Warning Module Initialization: After the system is powered on, the warning module completes a self-test, confirming that the audible and visual warning unit and the remote warning unit are fault-free, and simultaneously loads preset parameters, including the pressure safety threshold. Threshold for detecting micro-flow anomalies After initialization, the system sets the warning priority and data recording frequency, enters standby mode, and receives signals transmitted by the signal processing module in real time. S302: Warning Trigger Determination: The warning module receives three core signals transmitted from the signal processing module in real time, including the final pressure measurement value. Micro-flow signal after temperature compensation for main / standby pipelines Simultaneously determine whether the early warning triggering conditions are met. The determination formula and logic are as follows: Pressure exceeding threshold warning determination, Level 1 warning: when When the pressure is abnormal, a Level 1 warning is triggered. To avoid misjudgment due to instantaneous pressure fluctuations, a pressure fluctuation judgment coefficient is introduced. The pressure fluctuation value over three consecutive sampling periods is calculated using the following formula: ,in Let i be the final pressure measurement value from the k-th sampling, and i be the current sampling number. ,and If the safety threshold is exceeded, a Level 1 warning is triggered. If the fluctuation is determined to be instantaneous, no warning will be triggered for the time being. The situation will be reassessed after two more sampling periods of continuous monitoring. Pipeline anomaly early warning judgment, Level 2 warning: When the supervisor road or backup piping If this state is maintained for 3-5 consecutive sampling cycles, it is determined to be a pipeline abnormality, triggering a level-two warning. To quantify the degree of pipeline abnormality, an abnormality level coefficient is introduced. The formula is as follows: ,in This is the pipeline anomaly level coefficient. The larger the pipe, the more serious the pipeline abnormality. At that time, it was a slight abnormality. At that time, it was considered moderately abnormal; when At this time, it is considered a severe anomaly, and different anomaly levels correspond to different audio-visual warning frequencies; S303: Audible and visual early warning unit execution: Activate the corresponding audible and visual alarm according to the warning level to ensure that on-site personnel can quickly identify the type and severity of the abnormality. The specific execution logic and related parameter formulas are as follows: Level 1 Warning: The LED warning light remains constantly red, and the buzzer sounds a continuous alarm at a frequency of 1Hz. ; Level 2 warning: based on the anomaly level coefficient Adjust the alarm frequency and volume using the following formula: ; in This refers to the alarm frequency of the buzzer. To increase the alarm volume, the LED warning light flashes yellow, with the flashing frequency matching the buzzer alarm frequency. S304: Remote Early Warning Unit Execution: Simultaneously with the activation of the audible and visual early warning system, the remote early warning unit pushes the warning information to the maintenance terminal via the wireless communication module. The pushed information includes the warning type, abnormal parameters, abnormal time, and abnormal level, and also calculates the warning information push delay. To ensure timely push notifications, the formula is as follows: ,in Due to push delay, For the time of early warning information push, Preset push delay threshold for warning trigger time. ,when When this happens, the remote early warning unit automatically switches to the backup communication module and re-push the early warning information to ensure that maintenance personnel receive it in a timely manner. S305: Abnormal Data Recording: After an alert is triggered, the alert module synchronously records abnormal data. The recorded content includes: alert trigger time. Warning type, anomaly level Pressure measurement value Microflow values of main / standby pipelines Pressure compensation amount The recording frequency is consistent with the sampling frequency, and the data storage period is no less than one year. To facilitate subsequent traceability, a data integrity verification formula is introduced to ensure that the recorded data is complete. The formula is as follows: ,in Percentage of data integrity This represents the actual number of data entries recorded. This refers to the total number of data entries that should be recorded during the early warning period. When this happens, the early warning module issues a data recording anomaly alert and simultaneously pushes the alert information to the operation and maintenance terminal; S306: Warning Stop Judgment and Execution: The warning module continuously receives signals transmitted by the signal processing module. When any of the following stop conditions are met, the audible and visual warnings and remote warnings are stopped, and the warning stop time is recorded. Complete one early warning process: Level 1 warning: [Termination] Pressure fluctuation values that have returned to within the safe threshold and for five consecutive sampling periods. ; Level 2 Warning Termination: The micro-flow signal in the main / standby pipeline returns to the normal range and remains normal for 5 consecutive sampling cycles, while the pipeline anomaly level coefficient... ; Manual Stop: Maintenance personnel send a manual stop command through the maintenance terminal or on-site control cabinet. After receiving the command, the early warning module immediately stops the early warning and records the information of the person who manually stopped the operation.
[0009] Preferably, the heat tracing device uses electric heat tracing wire, which is wound around the outside of the main pressure tapping pipeline and the backup pressure tapping pipeline. The start and stop are controlled by the signal processing module to maintain the stable temperature of the medium in the pipeline and avoid pipeline blockage caused by low temperature freezing. The drain valve is an automatic drain valve. Based on the detection signal of the micro-flow sensor, the signal processing module controls the periodic draining to discharge the accumulated liquid and gas in the pipeline.
[0010] Preferably, the power supply module adopts a dual-power redundant design, including a main power supply and a backup power supply. When the main power supply fails, the backup power supply automatically switches to ensure the continuous and stable operation of the system and avoid measurement interruption due to power failure.
[0011] Preferably, the pressure sensor is a corrosion-resistant and high-temperature resistant diffused silicon pressure sensor, with a measurement range adapted to the working pressure range of the reaction vessel body and an accuracy of not less than ±0.2%. The housings of both the pressure sensor and the micro-flow sensor are made of Hastelloy alloy and coated with an anti-corrosion coating, with a sealing rating of IP68 and an explosion-proof rating of Exd II CT6, making them suitable for high-temperature, highly corrosive, and high-risk working conditions. The microflow sensor and pressure sensor adopt a synchronous sampling mode with a sampling frequency of 1-10Hz.
[0012] Compared with existing technologies, the beneficial effects of this invention are: 1. By optimizing the design of the pressure tap location, the pressure tap is placed in the stable fluid area inside the reaction vessel, avoiding interference from turbulent flow field and liquid / gas accumulation on pressure tapping. The specifications of the pressure tapping pipeline are reasonably designed, shortening the pipeline length, optimizing the pipeline route, and reducing structures that are prone to liquid / gas accumulation, such as U-bends, thereby reducing pressure transmission lag and fluctuations. At the same time, it suppresses the interference of thermal expansion and contraction of the pressure tapping medium on small-range pressure measurement, reduces measurement deviations caused by pipeline blockage and liquid / gas accumulation, and significantly improves the accuracy and stability of pressure measurement. 2. Abandoning the existing system's single pressure tap and single sensor design, a redundant backup design is adopted, setting up main and backup pressure taps and corresponding measurement branches. When one of the pressure taps is blocked or the sensor fails, the system can automatically switch to the backup branch to continue pressure monitoring, avoiding pressure monitoring interruption due to single-point failure. It can promptly detect abnormal pressure in the reaction tank, effectively prevent safety accidents such as overpressure, leakage, and explosion, and improve the reliability of system operation. 3. Optimize the sensor structure design, select shell materials and sealing structures suitable for high temperature and strong corrosion conditions, and avoid problems such as sensor damage, sealing failure, and signal leakage due to harsh environment; at the same time, add an anti-interference mechanism to suppress the interference of ambient temperature and vibration on the sensor detection signal, and ensure that the system can operate continuously and stably under the typical harsh conditions of closed reaction tanks such as high temperature, strong corrosion, and strong vibration, thereby extending the service life of the equipment and reducing operation and maintenance costs. This invention significantly improves pressure measurement accuracy by optimizing the location of pressure taps and the design of pressure tapping pipelines, avoiding interference from turbulent flow fields, liquid and gas accumulation, pipeline blockage, and thermal expansion and contraction of the pressure-tapping medium. By employing a redundant backup design for main and backup pressure taps and measurement branches, it avoids pressure monitoring interruptions caused by single-point failures, effectively preventing safety accidents and improving system reliability. Furthermore, by optimizing sensor materials and sealing structures and adding anti-interference mechanisms, it enhances the system's tolerance to harsh conditions such as high temperature, strong corrosion, and strong vibration, ensuring continuous and stable system operation, reducing maintenance costs, and comprehensively guaranteeing the reaction efficiency, product quality, and production safety of the sealed reaction vessel. Attached Figure Description
[0013] Figure 1 This is a block diagram of the pressure measurement system inside the sealed reaction vessel proposed in this invention. Detailed Implementation
[0014] The present invention will be further explained below with reference to specific embodiments.
[0015] Example Reference Figure 1This embodiment proposes a pressure measurement system for a sealed reaction vessel, including a reaction vessel body, a pressure tapping module, a measurement module, a signal processing module, an early warning module, and a power supply module; The pressure tapping module is connected to the reaction vessel body and is used to collect the pressure medium inside the reaction vessel body; The pressure tapping module includes a main pressure tap, a backup pressure tap, a main pressure tapping pipeline, a backup pressure tapping pipeline, and a manifold. The main pressure tap and the backup pressure tap are respectively located at different positions on the reaction vessel body. The main pressure tap is located in the fluid stability zone inside the reaction vessel, and the backup pressure tap serves as a redundant backup. One end of the main pressure tap is connected to the main pressure tap and the other end is connected to the manifold. One end of the backup pressure tap is connected to the backup pressure tap and the other end is connected to the manifold. A micro-flow sensor and a pressure sensor are connected in series on both the main pressure tap and the backup pressure tap. Each main pressure tap and the backup pressure tap is equipped with a drain valve and a heat tracing device. The heat tracing device uses electric heat tracing wire, which is wrapped around the outside of the main pressure tapping pipeline and the backup pressure tapping pipeline. It is controlled to start and stop by the signal processing module to maintain the stable temperature of the medium in the pipeline and avoid pipeline blockage caused by low temperature freezing. The drain valve is an automatic drain valve. Based on the detection signal of the micro-flow sensor, the signal processing module controls the periodic draining to discharge the accumulated liquid and gas in the pipeline. The measurement module includes a pressure sensor and a micro-flow sensor. The micro-flow sensor is connected in series in the pipeline of the pressure tapping module to monitor the micro-flow status of the medium in the pressure tapping pipeline. The pressure sensor is used to collect the pressure signal transmitted by the pressure tapping module. The micro-flow sensor is a MEMS micro-flow sensor with a measurement range of 0.01-10 mL / min and an accuracy of no less than ±0.1%. It can monitor the flow status of the medium in the main pressure tapping pipeline and the backup pressure tapping pipeline in real time. When the micro-flow sensor detects that the flow rate of the medium in the pipeline is lower than the preset threshold, it is determined that the pipeline is blocked, liquid is accumulated or gas is accumulated. The signal processing module immediately starts the dynamic compensation algorithm and triggers the early warning module to issue a pipeline abnormality warning. Its operational logic steps are as follows: S101: System Initialization: After the micro-flow sensor is powered on, it completes a self-test to confirm that the sensor is fault-free. At the same time, it loads preset parameters, including measurement range, accuracy calibration coefficient, sampling frequency, and micro-flow preset threshold. After initialization, it enters real-time monitoring mode; S102: Real-time flow signal acquisition: The micro-flow sensor acquires the instantaneous flow rate of the medium in the pressure tapping pipeline through the thermal detection principle of the MEMS chip. Where i is the number of samples, i=1,2,3...n, and the sampling time is recorded synchronously during the sampling process. To ensure complete synchronization with the sampling time of the pressure sensor and avoid signal misalignment, the raw flow signal acquired needs to undergo preliminary filtering to eliminate electromagnetic and vibration interference. The filtering formula adopts the moving average filtering method, and its formula is as follows: ,in Let N be the filtered instantaneous flow rate after the i-th sample, and N be the sliding window length. The original instantaneous flow rate is the value of the k-th sample. S103: Flow Accuracy Calibration: Based on the accuracy specifications of the micro-flow sensor, the filtered instantaneous flow rate is calibrated to eliminate sensor-specific errors. The calibration formula is as follows: ,in Let K be the instantaneous flow rate after calibration for the i-th sample, and K be the accuracy calibration coefficient, which is preset according to the sensor's factory calibration data, with a value range of -0.001 to +0.001 to ensure that the flow rate accuracy after calibration is not less than ±0.1%. S104: Abnormal State Judgment: The calibrated instantaneous flow rate... With preset threshold A comparison is performed to determine whether there is any blockage, fluid accumulation, or gas accumulation in the pressure tapping line. The determination logic is as follows: when When the pipeline is deemed to be in normal condition, the micro-flow sensor will transmit the calibrated flow signal. The signal is transmitted to the signal processing module, which does not initiate dynamic compensation but only synchronously receives the pressure signal from the pressure sensor. when During this time, continuous monitoring is performed for 3-5 consecutive sampling cycles to avoid misjudgment caused by instantaneous fluctuations. After the misjudgment is eliminated, it is officially determined that there is a blockage, liquid accumulation, or gas accumulation in the pipeline. At this time, the micro-flow sensor sends an abnormal trigger signal to the signal processing module. S105: Linkage Compensation and Early Warning Trigger: After receiving the abnormal trigger signal from the micro-flow sensor, the signal processing module immediately starts the dynamic compensation algorithm, calculates the pressure measurement deviation based on the micro-flow deviation, and dynamically corrects the pressure signal collected by the pressure sensor. The compensation formula is as follows: ; ; in This is the pressure compensation amount. For compensation coefficient, The raw pressure signal acquired by the pressure sensor. The pressure signal after compensation; Simultaneously, the signal processing module triggers the early warning module, sending a pipeline abnormality signal. The early warning module immediately activates audible and visual warnings and remote warnings, while simultaneously recording the flow rate value at the time of the abnormality. Pressure value and compensation amount This facilitates subsequent tracing and troubleshooting; S106: Anomaly Recovery Monitoring: After the warning is triggered, the micro-flow sensor continuously monitors the pipeline flow in real time. The flow rate recovers after 3-5 consecutive sampling cycles of calibration. When the pipeline abnormality is determined to have been resolved, the micro-flow sensor sends a recovery signal to the signal processing module, the signal processing module stops the dynamic compensation algorithm, the early warning module stops issuing early warnings, and the system returns to normal monitoring status; The pressure sensor is a corrosion-resistant and high-temperature resistant diffused silicon pressure sensor. The measurement range is adapted to the working pressure range of the reaction vessel body, and the accuracy is not less than ±0.2%. The housings of the pressure sensor and the micro-flow sensor are both made of Hastelloy alloy and coated with anti-corrosion coating. The sealing level reaches IP68 and the explosion-proof level reaches Exd II CT6, making it suitable for high temperature, strong corrosion and high-risk working conditions. The micro-flow sensor and the pressure sensor adopt a synchronous sampling mode with a sampling frequency of 1-10Hz. The signal processing module is electrically connected to the pressure sensor and the micro-flow sensor, and is used to receive and process the pressure signal and the micro-flow signal to realize dynamic compensation of pressure measurement. The signal processing module includes a signal filtering unit, a temperature compensation unit, a micro-flow linkage compensation unit, and a data fusion unit. The signal filtering unit is used to filter electromagnetic interference and vibration interference in the pressure signal and micro-flow signal. The temperature compensation unit is used to eliminate the influence of ambient temperature on the pressure sensor and the micro-flow sensor. The micro-flow linkage compensation unit is used to dynamically correct the pressure signal collected by the pressure sensor based on the detection signal of the micro-flow sensor, and to compensate for measurement deviations caused by pipeline blockage, liquid accumulation, and gas accumulation. The data fusion unit is used to fuse the pressure signals of the main and backup pressure tapping pipelines and output the final pressure measurement value. The specific logical steps are as follows: S201: Signal Synchronization Input: The signal processing module receives two types of signals in real time from the main and backup pressure tapping lines—the raw pressure signal collected by the pressure sensor. , and the calibrated flow signal transmitted by the microflow sensor. , All signals are input synchronously at a frequency of 1-10Hz to ensure signal timing alignment and avoid processing misalignment. The input signals must meet the following requirements: , ,in These are the upper and lower limits of the working pressure of the reaction vessel; S202: The signal filtering unit operates, performing bidirectional filtering on the input pressure and micro-flow signals. It focuses on eliminating electromagnetic and vibration interference, employing a combination of RC low-pass filtering and moving average filtering to balance filtering effectiveness and real-time signal performance. The specific formula is as follows: Pressure signal filtering formula: ,in This is the filtered pressure signal. The current sampled raw pressure signal, This is the pressure signal after the previous sampling and filtering. This is the filter coefficient, preset to 0.1-0.3, adjusted according to the interference intensity. Stronger interference results in higher values. The smaller the value; Micro-flow signal filtering formula: ,in The signal is the final filtered micro-flow rate signal, where M is the length of the filtering window. The calibrated microflow signal is obtained from the j-th sample. This represents the current number of samples. S203: The temperature compensation unit operates, synchronously acquiring the ambient temperature T, and performing temperature compensation on the filtered pressure signal and micro-flow signal respectively to eliminate errors caused by temperature drift. The compensation formula is as follows: Pressure signal temperature compensation formula: ,in This is the pressure signal after temperature compensation. The temperature coefficient of the pressure sensor. For standard calibration temperature; Micro-flow signal temperature compensation formula: ,in This is the micro-flow signal after temperature compensation. Temperature coefficient of the microflow sensor; S204: The micro-flow linkage compensation unit is working, using the temperature-compensated micro-flow signal. As the basis for judgment, combined with the preset threshold of micro-flow rate For the pressure signal after temperature compensation Dynamic correction is performed to compensate for measurement deviations caused by pipeline blockage, liquid accumulation, or gas accumulation. This is implemented under two operating conditions, as detailed below: Operating Condition 1: The pipeline is normal, no compensation is required, and the pressure signal remains unchanged, i.e.: ; Operating Condition 2: Pipeline abnormality, dynamic compensation is activated. The compensation formula consists of two steps: S2041: Calculate the flow deviation coefficient : ,in This is the flow deviation coefficient; S2042: Calculate the pressure compensation amount and correct the pressure signal. ; ; in This is the pressure compensation amount. For compensation coefficient, This is the final compensated pressure signal; S205: The data fusion unit is working, processing the pressure signals after compensation from the main and backup pipelines. and To achieve a balance between measurement accuracy and system reliability, a weighted average fusion algorithm is employed, along with fault diagnosis logic. The specific logic and formulas are as follows: Fault diagnosis: If a small flow signal in a certain pipeline... If the pressure signal of the pipeline fails to persist for more than 10 sampling cycles, the pipeline is determined to be faulty. During fusion, the pressure signal of the pipeline is removed and only the pressure signal of the normal pipeline is used as the output. If both pipelines are normal, weighted fusion is performed. Weighted fusion formula: ,in The final pressure measurement value output by the system. For the main road weighting coefficient, This is the weighting coefficient for the backup pipeline, and it satisfies... Under normal operating conditions, the main pipeline weight backup pipeline weight If the main pipeline fails Conversely ; S206: Signal output and linkage; the data fusion unit will input the final pressure measurement value. Synchronously transmitted to the early warning module and the remote monitoring module; if If the preset safety threshold is exceeded, or if the micro-flow linkage compensation unit determines that the pipeline is abnormal, the signal processing module will simultaneously trigger the early warning module to start the audible and visual early warning and the remote early warning, thus completing the entire signal processing process. The early warning module is electrically connected to the signal processing module and is used to issue early warnings based on the processed pressure signal and micro-flow signal. The early warning module includes an audible and visual early warning unit and a remote early warning unit. When the pressure measurement value exceeds the preset safety threshold and the micro-flow sensor detects an abnormality in the pipeline, the audible and visual early warning unit immediately issues an audible and visual alarm. The remote early warning unit sends the early warning information to the operation and maintenance terminal through the wireless communication module and records the abnormal data for subsequent traceability. The specific logical steps are as follows: S301: Warning Module Initialization: After the system is powered on, the warning module completes a self-test, confirming that the audible and visual warning unit and the remote warning unit are fault-free, and simultaneously loads preset parameters, including the pressure safety threshold. Threshold for detecting micro-flow anomalies After initialization, the system sets the warning priority and data recording frequency, enters standby mode, and receives signals transmitted by the signal processing module in real time. S302: Warning Trigger Determination: The warning module receives three core signals transmitted from the signal processing module in real time, including the final pressure measurement value. Micro-flow signal after temperature compensation for main / standby pipelines Simultaneously determine whether the early warning triggering conditions are met. The determination formula and logic are as follows: Pressure exceeding threshold warning determination, Level 1 warning: when When the pressure is abnormal, a Level 1 warning is triggered. To avoid misjudgment due to instantaneous pressure fluctuations, a pressure fluctuation judgment coefficient is introduced. The pressure fluctuation value over three consecutive sampling periods is calculated using the following formula: ,in Let i be the final pressure measurement value from the k-th sampling, and i be the current sampling number. ,and If the safety threshold is exceeded, a Level 1 warning is triggered. If the fluctuation is determined to be instantaneous, no warning will be triggered for the time being. The situation will be reassessed after two more sampling periods of continuous monitoring. Pipeline anomaly early warning judgment, Level 2 warning: When the supervisor road or backup piping If this state is maintained for 3-5 consecutive sampling cycles, it is determined to be a pipeline abnormality, triggering a level-two warning. To quantify the degree of pipeline abnormality, an abnormality level coefficient is introduced. The formula is as follows: ,in This is the pipeline anomaly level coefficient. The larger the pipe, the more serious the pipeline abnormality. At that time, it was a slight abnormality. At that time, it was considered moderately abnormal; when At this time, it is considered a severe anomaly, and different anomaly levels correspond to different audio-visual warning frequencies;
[0016] S303: Audible and visual early warning unit execution: Activate the corresponding audible and visual alarm according to the warning level to ensure that on-site personnel can quickly identify the type and severity of the abnormality. The specific execution logic and related parameter formulas are as follows: Level 1 Warning: The LED warning light remains constantly red, and the buzzer sounds a continuous alarm at a frequency of 1Hz. ; Level 2 warning: based on the anomaly level coefficient Adjust the alarm frequency and volume using the following formula: ; in This refers to the alarm frequency of the buzzer. To increase the alarm volume, the LED warning light flashes yellow, with the flashing frequency matching the buzzer alarm frequency. S304: Remote Early Warning Unit Execution: Simultaneously with the activation of the audible and visual early warning system, the remote early warning unit pushes the warning information to the maintenance terminal via the wireless communication module. The pushed information includes the warning type, abnormal parameters, abnormal time, and abnormal level, and also calculates the warning information push delay. To ensure timely push notifications, the formula is as follows: ,in Due to push delay, For the time of early warning information push, Preset push delay threshold for warning trigger time. ,when When this happens, the remote early warning unit automatically switches to the backup communication module and re-push the early warning information to ensure that maintenance personnel receive it in a timely manner. S305: Abnormal Data Recording: After an alert is triggered, the alert module synchronously records abnormal data. The recorded content includes: alert trigger time. Warning type, anomaly level Pressure measurement value Microflow values of main / standby pipelines Pressure compensation amount The recording frequency is consistent with the sampling frequency, and the data storage period is no less than one year. To facilitate subsequent traceability, a data integrity verification formula is introduced to ensure that the recorded data is complete. The formula is as follows: ,in Percentage of data integrity This represents the actual number of data entries recorded. This refers to the total number of data entries that should be recorded during the early warning period. When this happens, the early warning module issues a data recording anomaly alert and simultaneously pushes the alert information to the operation and maintenance terminal; S306: Warning Stop Judgment and Execution: The warning module continuously receives signals transmitted by the signal processing module. When any of the following stop conditions are met, the audible and visual warnings and remote warnings are stopped, and the warning stop time is recorded. Complete one early warning process: Level 1 warning: [Termination] Pressure fluctuation values that have returned to within the safe threshold and for five consecutive sampling periods.
[0017] Level 2 Warning Termination: The micro-flow signal in the main / standby pipeline returns to the normal range and remains normal for 5 consecutive sampling cycles, while the pipeline anomaly level coefficient... ; Manual stop: Maintenance personnel send a manual stop command through the maintenance terminal or field control cabinet. After receiving the command, the early warning module immediately stops the early warning and records the information of the person who manually stopped the operation. The power supply module provides a stable power supply for the entire system. The power supply module adopts a dual power redundancy design, including a main power supply and a backup power supply. When the main power supply fails, the backup power supply automatically switches to ensure the continuous and stable operation of the system and avoid measurement interruption due to power failure. This embodiment significantly improves pressure measurement accuracy by optimizing the location of the pressure tapping port and the design of the pressure tapping pipeline, avoiding interference from turbulent flow, liquid and gas accumulation, pipeline blockage, and thermal expansion and contraction of the pressure-tapping medium. By employing a redundant backup design for the main and backup pressure tapping ports and measurement branches, pressure monitoring interruptions caused by single-point failures are avoided, effectively preventing safety accidents and improving system reliability. Furthermore, by optimizing sensor materials and sealing structures and adding anti-interference mechanisms, the system's tolerance to harsh conditions such as high temperature, strong corrosion, and strong vibration is enhanced, ensuring continuous and stable system operation, reducing maintenance costs, and comprehensively guaranteeing the reaction efficiency, product quality, and production safety of the sealed reaction vessel.
[0018] In this embodiment, after the system starts up, the power supply module with dual power redundancy design ensures continuous and stable power supply. The pressure tapping module collects the pressure medium in the reaction tank through the main and backup pressure tapping ports. The main pressure tapping port ensures accurate pressure tapping, and the backup pressure tapping port provides redundancy backup. Both pressure tapping pipelines are connected in series with micro flow sensors and pressure sensors. The heating device prevents the pipeline from freezing. The automatic drain valve drains the pipes periodically according to the micro flow signal to ensure unobstructed pipeline flow. The measurement module adopts a synchronous sampling mode. The pressure sensor collects the raw pressure signal, and the MEMS micro-flow sensor collects the flow signal. After moving average filtering and accuracy calibration, the signal is compared with a preset threshold to determine pipeline abnormalities. When an abnormality occurs, a trigger signal is sent. The signal processing module receives two types of signals and processes them in layers: filtering and temperature compensation eliminate errors; the micro-flow linkage compensation unit then processes the signals according to... The pressure signal is dynamically corrected; the data fusion unit outputs the final pressure value through a weighted average algorithm and transmits it to the early warning module. After receiving the signal, the early warning module determines the early warning level through the pressure fluctuation coefficient and the abnormality level coefficient, triggers the corresponding audible and visual early warning, and records the abnormal data. The early warning is terminated after the stop conditions are met. The modules work together to effectively solve the pain points of the existing system, realize high-precision and high-reliability monitoring of the reaction tank pressure, and ensure production safety.
[0019] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A pressure measurement system within a closed reaction vessel, characterized by, It includes the reaction vessel body, pressure tapping module, measurement module, signal processing module, early warning module, and power supply module; The pressure tapping module is connected to the reaction vessel body and is used to collect the pressure medium inside the reaction vessel body; The measurement module includes a pressure sensor and a micro-flow sensor. The micro-flow sensor is connected in series in the pipeline of the pressure tapping module to monitor the micro-flow status of the medium in the pressure tapping pipeline. The pressure sensor is used to collect the pressure signal transmitted by the pressure tapping module. The signal processing module is electrically connected to the pressure sensor and the micro-flow sensor, and is used to receive and process the pressure signal and the micro-flow signal to realize dynamic compensation of pressure measurement. The early warning module is electrically connected to the signal processing module and is used to issue early warnings based on the processed pressure signal and micro-flow signal. The power supply module provides a stable power supply for the entire system.
2. The pressure measurement system within a closed reaction vessel of claim 1, wherein, The pressure tapping module includes a main pressure tap, a backup pressure tap, a main pressure tapping pipeline, a backup pressure tapping pipeline, and a manifold. The main pressure tap and the backup pressure tap are respectively located at different positions on the reaction vessel body. The main pressure tap is located in the fluid stability zone inside the reaction vessel, and the backup pressure tap serves as a redundant backup. One end of the main pressure tap is connected to the main pressure tap, and the other end is connected to the manifold. One end of the backup pressure tap is connected to the backup pressure tap, and the other end is connected to the manifold. A micro-flow sensor and a pressure sensor are connected in series on both the main pressure tap and the backup pressure tap, and each main pressure tap and the backup pressure tap is equipped with a drain valve and a heat tracing device.
3. The pressure measurement system within a closed reaction vessel of claim 1, wherein, The micro-flow sensor is a MEMS micro-flow sensor with a measurement range of 0.01-10 mL / min and an accuracy of no less than ±0.1%. It can monitor the flow status of the medium in the main pressure tapping pipeline and the backup pressure tapping pipeline in real time. When the micro-flow sensor detects that the flow rate of the medium in the pipeline is lower than the preset threshold, it is determined that the pipeline is blocked, liquid is accumulated or gas is accumulated. The signal processing module immediately starts the dynamic compensation algorithm and triggers the early warning module to issue a pipeline abnormality warning. Its operational logic steps are as follows: S101: system initialization: after the micro-flow sensor is powered on, self-checking is completed, it is confirmed that the sensor has no fault, and preset parameters including measurement range, accuracy calibration coefficient, sampling frequency, and micro-flow preset threshold are loaded After initialization is completed, the real-time monitoring state is entered; S102: Real-time flow signal acquisition: The micro-flow sensor acquires the instantaneous flow rate of the medium in the pressure tapping pipeline through the thermal detection principle of the MEMS chip. Where i is the number of samples, i=1,2,3...n, and the sampling time is recorded synchronously during the sampling process. To ensure complete synchronization with the sampling time of the pressure sensor and avoid signal misalignment, the raw flow signal acquired needs to undergo preliminary filtering to eliminate electromagnetic and vibration interference. The filtering formula adopts the moving average filtering method, and its formula is as follows: ,in Let N be the filtered instantaneous flow rate after the i-th sample, and N be the sliding window length. The original instantaneous flow rate is the value of the k-th sample. S103: Flow Accuracy Calibration: Based on the accuracy specifications of the micro-flow sensor, the filtered instantaneous flow rate is calibrated to eliminate sensor-specific errors. The calibration formula is as follows: ,in Let K be the instantaneous flow rate after calibration for the i-th sample, and K be the accuracy calibration coefficient, which is preset according to the sensor's factory calibration data, with a value range of -0.001 to +0.001 to ensure that the flow rate accuracy after calibration is not less than ±0.1%. S104: Abnormal State Judgment: The calibrated instantaneous flow rate... With preset threshold A comparison is performed to determine whether there is any blockage, fluid accumulation, or gas accumulation in the pressure tapping line. The determination logic is as follows: when When the pipeline is deemed to be in normal condition, the micro-flow sensor will transmit the calibrated flow signal. The signal is transmitted to the signal processing module, which does not initiate dynamic compensation but only synchronously receives the pressure signal from the pressure sensor. when During this time, continuous monitoring is performed for 3-5 consecutive sampling cycles to avoid misjudgment caused by instantaneous fluctuations. After the misjudgment is eliminated, it is officially determined that there is a blockage, liquid accumulation, or gas accumulation in the pipeline. At this time, the micro-flow sensor sends an abnormal trigger signal to the signal processing module. S105: Linkage Compensation and Early Warning Trigger: After receiving the abnormal trigger signal from the micro-flow sensor, the signal processing module immediately starts the dynamic compensation algorithm, calculates the pressure measurement deviation based on the micro-flow deviation, and dynamically corrects the pressure signal collected by the pressure sensor. The compensation formula is as follows: ; ; in This is the pressure compensation amount. For compensation coefficient, The raw pressure signal acquired by the pressure sensor. The pressure signal after compensation; Simultaneously, the signal processing module triggers the early warning module, sending a pipeline abnormality signal. The early warning module immediately activates audible and visual warnings and remote warnings, while simultaneously recording the flow rate value at the time of the abnormality. Pressure value and compensation amount This facilitates subsequent tracing and troubleshooting; S106: Anomaly Recovery Monitoring: After the warning is triggered, the micro-flow sensor continuously monitors the pipeline flow in real time. The flow rate recovers after 3-5 consecutive sampling cycles of calibration. When the pipeline abnormality is determined to have been resolved, the micro-flow sensor sends a recovery signal to the signal processing module. The signal processing module then stops the dynamic compensation algorithm, the early warning module stops issuing warnings, and the system returns to normal monitoring status.
4. The pressure measurement system inside the sealed reaction vessel according to claim 3, characterized in that, The signal processing module includes a signal filtering unit, a temperature compensation unit, a micro-flow linkage compensation unit, and a data fusion unit. The signal filtering unit is used to filter electromagnetic interference and vibration interference in the pressure signal and micro-flow signal. The temperature compensation unit is used to eliminate the influence of ambient temperature on the pressure sensor and the micro-flow sensor. The micro-flow linkage compensation unit is used to dynamically correct the pressure signal collected by the pressure sensor based on the detection signal of the micro-flow sensor, and to compensate for measurement deviations caused by pipeline blockage, liquid accumulation, and gas accumulation. The data fusion unit is used to fuse the pressure signals of the main and backup pressure tapping pipelines and output the final pressure measurement value. The specific logical steps are as follows: S201: Signal Synchronization Input: The signal processing module receives two types of signals in real time from the main and backup pressure tapping lines—the raw pressure signal collected by the pressure sensor. , and the calibrated flow signal transmitted by the microflow sensor. , All signals are input synchronously at a frequency of 1-10Hz to ensure signal timing alignment and avoid processing misalignment. The input signals must meet the following requirements: , ,in These are the upper and lower limits of the working pressure of the reaction vessel; S202: The signal filtering unit operates, performing bidirectional filtering on the input pressure and micro-flow signals. It focuses on eliminating electromagnetic and vibration interference, employing a combination of RC low-pass filtering and moving average filtering to balance filtering effectiveness and real-time signal performance. The specific formula is as follows: Pressure signal filtering formula: ,in This is the filtered pressure signal. The current sampled raw pressure signal, This is the pressure signal after the previous sampling and filtering. This is the filter coefficient, preset to 0.1-0.3, adjusted according to the interference intensity. Stronger interference results in higher values. The smaller the value; Micro-flow signal filtering formula: ,in The signal is the final filtered micro-flow rate signal, where M is the length of the filtering window. The calibrated microflow signal is obtained from the j-th sample. This represents the current number of samples. S203: The temperature compensation unit operates, synchronously acquiring the ambient temperature T, and performing temperature compensation on the filtered pressure signal and micro-flow signal respectively to eliminate errors caused by temperature drift. The compensation formula is as follows: Pressure signal temperature compensation formula: ,in This is the pressure signal after temperature compensation. The temperature coefficient of the pressure sensor. For standard calibration temperature; Micro-flow signal temperature compensation formula: ,in This is the micro-flow signal after temperature compensation. Temperature coefficient of the microflow sensor; S204: The micro-flow linkage compensation unit is working, using the temperature-compensated micro-flow signal. As the basis for judgment, combined with the preset threshold of micro-flow rate For the pressure signal after temperature compensation Dynamic correction is performed to compensate for measurement deviations caused by pipeline blockage, liquid accumulation, or gas accumulation. This is implemented under two operating conditions, as detailed below: Operating Condition 1: The pipeline is normal, no compensation is required, and the pressure signal remains unchanged, i.e.: ; Operating Condition 2: Pipeline abnormality, dynamic compensation is activated. The compensation formula consists of two steps: S2041: Calculate the flow deviation coefficient : ,in This is the flow deviation coefficient; S2042: Calculate the pressure compensation amount and correct the pressure signal. ; ; in This is the pressure compensation amount. For compensation coefficient, This is the final compensated pressure signal; S205: The data fusion unit is working, processing the pressure signals after compensation from the main and backup pipelines. and To achieve a balance between measurement accuracy and system reliability, a weighted average fusion algorithm is employed, along with fault diagnosis logic. The specific logic and formulas are as follows: Fault diagnosis: If a small flow signal in a certain pipeline... If the pressure signal of the pipeline fails to persist for more than 10 sampling cycles, the pipeline is determined to be faulty. During fusion, the pressure signal of the pipeline is removed and only the pressure signal of the normal pipeline is used as the output. If both pipelines are normal, weighted fusion is performed. Weighted fusion formula: ,in The final pressure measurement value output by the system. For the main road weighting coefficient, This is the weighting coefficient for the backup pipeline, and it satisfies... Under normal operating conditions, the main pipeline weight backup pipeline weight If the main pipeline fails Conversely ; S206: Signal output and linkage; the data fusion unit will input the final pressure measurement value. Synchronously transmitted to the early warning module and the remote monitoring module; if If the preset safety threshold is exceeded, or if the micro-flow linkage compensation unit determines that the pipeline is abnormal, the signal processing module will simultaneously trigger the early warning module to start the audible and visual early warning and the remote early warning, thus completing the entire signal processing process.
5. The pressure measurement system inside the sealed reaction vessel according to claim 1, characterized in that, The early warning module includes an audible and visual early warning unit and a remote early warning unit. When the pressure measurement value exceeds the preset safety threshold and the micro-flow sensor detects an abnormality in the pipeline, the audible and visual early warning unit immediately issues an audible and visual alarm. The remote early warning unit sends the early warning information to the operation and maintenance terminal through the wireless communication module and records the abnormal data for subsequent traceability. The specific logical steps are as follows: S301: Warning Module Initialization: After the system is powered on, the warning module completes a self-test, confirming that the audible and visual warning unit and the remote warning unit are fault-free, and simultaneously loads preset parameters, including the pressure safety threshold. Threshold for detecting micro-flow anomalies After initialization, the system sets the warning priority and data recording frequency, enters standby mode, and receives signals transmitted by the signal processing module in real time. S302: Warning Trigger Determination: The warning module receives three core signals transmitted from the signal processing module in real time, including the final pressure measurement value. Micro-flow signal after temperature compensation for main / standby pipelines Simultaneously determine whether the early warning triggering conditions are met. The determination formula and logic are as follows: Pressure exceeding threshold warning determination, Level 1 warning: when When the pressure is abnormal, a Level 1 warning is triggered. To avoid misjudgment due to instantaneous pressure fluctuations, a pressure fluctuation judgment coefficient is introduced. The pressure fluctuation value over three consecutive sampling periods is calculated using the following formula: ,in Let i be the final pressure measurement value from the k-th sampling, and i be the current sampling number. ,and If the safety threshold is exceeded, a Level 1 warning is triggered. If the fluctuation is determined to be instantaneous, no warning will be triggered for the time being. The situation will be reassessed after two more sampling periods of continuous monitoring. Pipeline anomaly early warning judgment, Level 2 warning: When the supervisor road or backup piping If this state is maintained for 3-5 consecutive sampling cycles, it is determined to be a pipeline abnormality, triggering a level-two warning. To quantify the degree of pipeline abnormality, an abnormality level coefficient is introduced. The formula is as follows: ,in This is the pipeline anomaly level coefficient. The larger the pipe, the more serious the pipeline abnormality. At that time, it was a slight abnormality. At that time, it was considered moderately abnormal; when At this time, it is considered a severe anomaly, and different anomaly levels correspond to different audio-visual warning frequencies; S303: Audible and visual early warning unit execution: Activate the corresponding audible and visual alarm according to the warning level to ensure that on-site personnel can quickly identify the type and severity of the abnormality. The specific execution logic and related parameter formulas are as follows: Level 1 Warning: The LED warning light remains constantly red, and the buzzer sounds a continuous alarm at a frequency of 1Hz. ; Level 2 warning: based on the anomaly level coefficient Adjust the alarm frequency and volume using the following formula: ; in This refers to the alarm frequency of the buzzer. To increase the alarm volume, the LED warning light flashes yellow, with the flashing frequency matching the buzzer alarm frequency. S304: Remote Early Warning Unit Execution: Simultaneously with the activation of the audible and visual early warning system, the remote early warning unit pushes the warning information to the maintenance terminal via the wireless communication module. The pushed information includes the warning type, abnormal parameters, abnormal time, and abnormal level, and also calculates the warning information push delay. To ensure timely push notifications, the formula is as follows: ,in Due to push delay, For the time of early warning information push, Preset push delay threshold for warning trigger time. ,when When this happens, the remote early warning unit automatically switches to the backup communication module and re-push the early warning information to ensure that maintenance personnel receive it in a timely manner. S305: Abnormal Data Recording: After an alert is triggered, the alert module synchronously records abnormal data. The recorded content includes: alert trigger time. Warning type, anomaly level Pressure measurement value Microflow values of main / standby pipelines Pressure compensation amount The recording frequency is consistent with the sampling frequency, and the data storage period is no less than one year. To facilitate subsequent traceability, a data integrity verification formula is introduced to ensure that the recorded data is complete. The formula is as follows: ,in Percentage of data integrity This represents the actual number of data entries recorded. This refers to the total number of data entries that should be recorded during the early warning period. When this happens, the early warning module issues a data recording anomaly alert and simultaneously pushes the alert information to the operation and maintenance terminal; S306: Warning Stop Judgment and Execution: The warning module continuously receives signals transmitted by the signal processing module. When any of the following stop conditions are met, the audible and visual warnings and remote warnings are stopped, and the warning stop time is recorded. Complete one early warning process: Level 1 warning: [Termination] Pressure fluctuation values that have returned to within the safe threshold and for five consecutive sampling periods. Level 2 Warning Termination: The micro-flow signal in the main / standby pipeline returns to the normal range and remains normal for 5 consecutive sampling cycles, while the pipeline anomaly level coefficient... ; Manual Stop: Maintenance personnel send a manual stop command through the maintenance terminal or on-site control cabinet. After receiving the command, the early warning module immediately stops the early warning and records the information of the person who manually stopped the operation.
6. The pressure measurement system inside the sealed reaction vessel according to claim 2, characterized in that, The heat tracing device uses electric heat tracing wire, which is wrapped around the outside of the main pressure tapping pipeline and the backup pressure tapping pipeline. It is controlled to start and stop by the signal processing module to maintain the stable temperature of the medium in the pipeline and avoid pipeline blockage caused by low temperature freezing. The drain valve is an automatic drain valve. Based on the detection signal of the micro-flow sensor, the signal processing module controls the periodic draining to discharge the accumulated liquid and gas in the pipeline.
7. The pressure measurement system inside the sealed reaction vessel according to claim 1, characterized in that, The power supply module adopts a dual-power redundancy design, including a main power supply and a backup power supply. When the main power supply fails, the backup power supply automatically switches to ensure the continuous and stable operation of the system and avoid measurement interruption due to power failure.
8. The pressure measurement system inside the sealed reaction vessel according to claim 1, characterized in that, The pressure sensor is a corrosion-resistant and high-temperature resistant diffused silicon pressure sensor. The measurement range is adapted to the working pressure range of the reaction vessel body, and the accuracy is not less than ±0.2%. The housings of the pressure sensor and the micro-flow sensor are both made of Hastelloy alloy and coated with anti-corrosion coating. The sealing level reaches IP68 and the explosion-proof level reaches Exd II CT6, making it suitable for high temperature, strong corrosion and high-risk working conditions. The microflow sensor and pressure sensor adopt a synchronous sampling mode with a sampling frequency of 1-10Hz.