Self-adaptive pressure regulation and leakage real-time blocking system for electric valve of natural gas pipeline

Abstract

The invention relates to the technical field of valve control, in particular to a natural gas pipeline electric valve self-adaption pressure adjusting and leakage real-time blocking system which comprises a pressure state collecting module, a difference value driving judging module, an electric driving control stabilizing module, a locking abnormity recognizing module and a leakage blocking triggering module. According to the method, through dynamic tracking of the pressure deviation rate and trend, the perspectiveness and accuracy of valve adjustment are improved, and combined judgment of the symbol direction and the tolerance band limit value is achieved, so that adjustment direction judgment is more reliable, false operation is avoided, double verification of operation time deviation and the current fluctuation state is achieved, the stability and effectiveness of adjustment action are enhanced, and the adjustment accuracy is improved. Adjustment abnormity is classified in a numbering statistical mode, periodic interruption counting is formed, continuous and datamation support is provided for the locking action, active recognition and response of abnormity blocking are achieved, and the safety guarantee and the self-adaptive adjustment capacity of the natural gas pipeline are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of valve control technology, and in particular to a self-adaptive pressure regulation and real-time leakage blocking system for electric valves in natural gas pipelines. Background Art

[0002] The field of valve control technology encompasses technical research and equipment development for the opening, closing, regulation, and control of various valves in fluid conveying systems. Its core focus is the systematic design and optimization of valve actuation methods, response mechanisms, and control accuracy to ensure effective management of the pressure, flow rate, and direction of fluids during transportation. This system, which involves mechanical transmission structures, electrical control devices, and sensor-interactive response mechanisms, is widely used in industries such as petroleum, natural gas, water treatment, and the chemical industry, and serves as a crucial technical foundation for ensuring the stability and safety of pipeline operations.

[0003] Among them, the natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system refers to a system used in natural gas transmission pipelines to control valves through electric actuators, and dynamically adjust them in combination with pressure sensor signals to adapt to real-time pressure changes in the pipeline. At the same time, when abnormal pressure mutations or leakage signals are detected, the system automatically triggers emergency shutdown operations. It mainly involves continuous monitoring of natural gas pipeline pressure changes, obtaining real-time data through pressure sensors, judging abnormal conditions based on preset pressure thresholds and change rates, and then adjusting the valve opening or implementing flow interruption through electric drive devices. In terms of leak detection, the system judges pipeline anomalies based on signal threshold recognition methods and performs locking operations with a rapid response strategy to interrupt the flow of the medium, thus forming a comprehensive control system based on electric drive and combining pressure judgment standards and response mechanisms.

[0004] Current electric valve control systems in natural gas pipelines often rely solely on static pressure thresholds, ignoring the dynamic process and trend evolution of pressure changes. This results in a lack of sensitivity to subtle changes in operating conditions, making them susceptible to delayed or ineffective responses to rapid fluctuations or slowly changing anomalies. The mechanism for determining control direction is limited to comparing upper and lower limits within a single numerical range, failing to fully consider the continuity and cumulative nature of deviations. This frequently triggers ineffective adjustments, increases mechanical load on the equipment, and weakens overall control accuracy and stability. Electric actuator status monitoring relies on instantaneous current signals, ignoring the synergistic effects of factors such as motor operating time and load fluctuations. This makes it difficult to accurately identify long-term fatigue or latent faults, creating the risk of misjudgment and missed detection, impacting control reliability. The method for identifying control anomalies is limited to responding to sudden alarm signals. It lacks statistical analysis and trend analysis based on action sequence and cycle characteristics. This makes it impossible to effectively detect hidden issues such as control interruptions and jams, resulting in delayed response to leak blocking actions and compromising the safety and control of natural gas pipelines. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system comprises:

[0007] The pressure state acquisition module obtains the real-time gas pressure value before and after the pressure regulating valve in the natural gas pipeline network, calculates the pressure difference rate before and after the current unit time, calculates the offset change between the current pressure state and the regulation target, and generates the pipeline section regulation offset rate;

[0008] The differential drive determination module determines the trend based on the pipe section adjustment deviation rate by comparing the sign and direction of the deviation rate with the upper and lower limits of the valve pressure difference setting value tolerance band, determines whether the current valve adjustment direction needs to be changed, and generates a valve opening adjustment response trend record;

[0009] The electric drive control stabilization module reads the accumulated motor running time and current feedback signal value of the current electric actuator according to the valve opening adjustment response trend record, compares them with the rated continuous working time of the motor and the allowable range of current fluctuation, determines whether the current valve adjustment is stable, and generates a valve adjustment stability state indicator;

[0010] The locking abnormality identification module identifies the abnormal adjustment response problem based on the valve adjustment stable state identifier, statistically classifies the corresponding valve advancement action number, determines the number of adjustment interruptions in the current cycle, and generates an interruption count threshold judgment result.

[0011] As a further solution of the present invention, the pipe section adjustment offset rate includes the offset direction, offset amplitude, and rate change trend; the valve opening adjustment response trend record includes the adjustment direction determination mark, the number of consecutive offset cycles, and the offset trend category; the valve adjustment stable state identifier includes the motor time offset, the current fluctuation state, and the adjustment stability state; the interruption count threshold judgment result includes the number of adjustment interruptions, the number of action jams, and the abnormal distribution record within the locking period.

[0012] As a further solution of the present invention, the pressure state acquisition module:

[0013] The pressure data acquisition submodule obtains the real-time gas pressure values ​​of the front and rear sections of the pressure regulating valve through the pressure transmitter, collects the current timestamp, establishes the corresponding pressure data sequence, and generates a real-time pressure data sequence;

[0014] The pressure difference rate calculation submodule calculates the pressure difference between the gas pressure values ​​before and after the real-time pressure data sequence per unit time, calculates the pressure difference change rate, records the difference increment per cycle, and obtains the periodic pressure difference change rate;

[0015] The adjustment offset rate generating submodule calls a preset pressure difference safety range according to the periodic pressure difference change rate, calculates the adjustment offset rate, and outputs the pipe section adjustment offset rate.

[0016] As a further solution of the present invention, the differential drive determination module includes:

[0017] The excursion trend identification submodule adjusts the excursion rate of the pipe section, extracts the excursion rate data of consecutive cycles, determines the positive and negative signs and directions of the excursion rate of each cycle, compares the pressure difference caused by the excursion rate cycle by cycle to see if it exceeds the upper limit of the tolerance band, records the current excursion trend, and establishes a trend determination result;

[0018] The direction consistency check submodule obtains the current adjustment direction of the valve according to the trend determination result, compares the valve adjustment direction with the offset trend direction, records the direction consistency state, and establishes an adjustment direction consistency mark;

[0019] The adjustment response generation submodule performs linkage processing based on the adjustment direction consistency mark and the trend judgment result. If the direction is consistent and continuously upward, it is marked as needing to adjust the adjustment strategy and perform response summary to establish the valve opening adjustment response trend record.

[0020] As a further solution of the present invention, the electric drive control stabilization module includes:

[0021] The time offset comparison submodule collects the current electric actuator motor cumulative running time according to the valve opening adjustment response trend record, reads the motor rated continuous working time, calculates the time offset, determines whether there is a time limit overrun risk, and obtains the motor time offset determination result;

[0022] The current fluctuation determination submodule reads the current feedback signal value according to the motor time offset determination result, compares the current feedback signal with the tolerance band, records the current fluctuation exceeding the limit in the current cycle, and obtains the motor current fluctuation state;

[0023] The stable state generation submodule calculates the valve regulation stability coefficient according to the motor current fluctuation state and the motor time offset determination result, combined with the previous offset trend and the regulation response data, and generates a valve regulation stable state identifier.

[0024] As a further solution of the present invention, the locking abnormality identification module includes:

[0025] The response interruption detection submodule obtains valve advancement action feedback information within the locking control cycle based on the valve regulation stable state identifier, detects the continuity and response timeliness of the feedback signal cycle by cycle, detects response interruption conditions, and establishes a response interruption record;

[0026] The action jam identification submodule extracts all marked propulsion action numbers based on the response interruption record, analyzes the corresponding action execution status, compares the actual completion time with the valve standard action completion time, identifies abnormal jamming phenomena in the execution process, and establishes an action jam number list;

[0027] The interruption count statistics submodule counts the number of adjustment response interruptions and the number of action jams that occurred in the current control cycle based on the action jam number list and the response interruption record, compares them with the interruption count threshold, determines whether the adjustment action in the current cycle meets the lockout abnormality recognition condition, and generates an interruption count threshold judgment result.

[0028] As a further embodiment of the present invention, the system further comprises:

[0029] The leakage blocking trigger module collects the pressure change rate per unit time in the current natural gas pipeline section based on the interruption count threshold judgment result, and compares it with the leakage pressure threshold. If the pressure change rate exceeds the limit, it is marked as a trigger event, outputs the forced blocking command of the current natural gas pipeline section and the leakage prevention and control feedback mark, and generates the execution result of the leakage blocking action;

[0030] The execution result of the leakage blocking and locking action includes the leakage triggering event type, the forced locking command, and the leakage prevention and control feedback mark.

[0031] As a further solution of the present invention, the leakage blocking trigger module includes:

[0032] The pressure change monitoring submodule expands the continuously collected pressure data into a time series according to the interruption count threshold determination result, calculates the pressure change rate per unit time, compares it with the leakage pressure threshold, marks abnormal changes, and generates a pressure change status record;

[0033] The over-limit trigger determination submodule analyzes all abnormal change marks detected in the current cycle based on the pressure change state record, compares the number of abnormal changes with the trigger threshold, determines the leakage blocking trigger event, and outputs a leakage prevention and control feedback mark;

[0034] The locking command issuing submodule issues a forced locking instruction based on the leakage prevention and control feedback identifier, executes the valve closing operation, synchronously detects the immediacy of the pipe section isolation operation, records the execution status of the current pipe section forced locking action, and generates the leakage blocking locking action execution result.

[0035] Compared with the prior art, the advantages and positive effects of the present invention are:

[0036] In the present invention, the foresight and accuracy of valve regulation are improved by dynamically tracking the pressure offset rate and trend. The combined discrimination of sign direction and tolerance band limit makes the judgment of regulation direction more reliable and avoids false operation. The dual verification of running time offset and current fluctuation state enhances the stability and effectiveness of regulation action. Regulation anomalies are classified in a numbered statistical manner to form a periodic interruption count, providing continuity and data support for locking action, and realizing active identification and response of abnormal blocking. The overall process is centered on trend perception and state coordination to ensure high-precision and high-robustness control under complex working conditions, and to enhance the safety protection and adaptive regulation capability of natural gas pipelines. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a system flow chart of the present invention;

[0038] Figure 2 This is a flow chart of the pressure state acquisition module of the present invention;

[0039] Figure 3 This is a flow chart of the differential drive determination module of the present invention;

[0040] Figure 4 This is a flow chart of the electric drive control stabilization module of the present invention;

[0041] Figure 5 This is a flow chart of the locking abnormality identification module of the present invention;

[0042] Figure 6 This is a flow chart of the leakage blocking trigger module of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0045] See also Figure 1 The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system includes:

[0046] The pressure state acquisition module uses a pressure transmitter (a sensor used in industrial process control to convert physical pressure signals into standard electrical signals, compliant with the GB / T17614 standard) to obtain real-time gas pressure values ​​before and after the pressure regulating valve in the natural gas pipeline network. It then uses the acquisition timestamp to establish a data sequence, calculates the pressure differential rate before and after the current unit time, records the incremental difference per cycle, and compares it with the preset pressure differential safety range (the allowable pressure differential fluctuation range determined by the pipeline design specification GB50251). It then calculates the offset between the current pressure state and the regulation target, generating the pipeline section regulation offset rate.

[0047] The differential drive judgment module is based on the pipe section adjustment deviation rate. It compares the deviation rate sign and direction with the upper and lower limits of the valve pressure differential set value tolerance band (the pressure differential allowable deviation range preset in the valve control system, usually ±5%-10% of the set value). If the deviation direction is positive and exceeds the upper limit of the pressure differential set value tolerance band for three consecutive cycles, it is recorded as an upward deviation trend. Otherwise, it is a downward deviation trend. Combined with the current valve adjustment direction, a judgment mark is established to determine whether the current valve adjustment direction needs to be changed, and a valve opening adjustment response trend record is generated.

[0048] The electric drive control stability module records the valve opening adjustment response trend, reads the current electric actuator's motor cumulative running time (electric actuator maintenance parameters, recording the total time the motor is powered on) and current feedback signal value (4-20mA analog signal monitored in real time in the motor drive circuit), compares the motor's cumulative running time with the motor's rated continuous working time (the maximum time allowed for uninterrupted operation as calibrated by the motor manufacturer) to obtain the time offset, and compares the current feedback signal value with the current fluctuation allowable range (the allowable fluctuation range set according to the motor's rated current, usually ±15% of the rated value) to determine whether the current fluctuation trend during the electric drive process exceeds the control standard. The module then integrates the information to determine whether the current valve adjustment is stable and generates a valve adjustment stability status indicator.

[0049] The lockout anomaly recognition module identifies whether there are interruptions in the valve adjustment response or stuck motion problems within the valve lockout control cycle based on the valve adjustment stable state identification. It statistically classifies the valve advancement action numbers with interruption and hysteresis abnormality marks, determines the number of adjustment interruptions in the current cycle, and generates an interruption count threshold judgment result.

[0050] The leakage blocking trigger module collects the pressure change rate per unit time in the current natural gas pipeline section based on the interruption count threshold judgment result, and compares it with the leakage pressure threshold (the pressure drop rate alarm value set according to the pipeline operating pressure). If the pressure change rate exceeds the limit, it is marked as a trigger event, and the current natural gas pipeline section forced locking command and leakage prevention and control feedback mark are output to generate the leakage blocking locking action execution result.

[0051] The pipe section adjustment offset rate includes the offset direction, offset amplitude, and rate change trend. The valve opening adjustment response trend record includes the adjustment direction judgment mark, the number of consecutive offset cycles, and the offset trend category. The valve adjustment stable state identifier includes the motor time offset, the current fluctuation state, and the adjustment stability state. The interruption count threshold judgment result includes the number of adjustment interruptions, the number of action jams, and the abnormal distribution record within the locking cycle. The leakage blocking locking action execution result includes the leakage trigger event type, the forced locking command, and the leakage prevention and control feedback identifier.

[0052] See also Figure 2 , pressure state acquisition module:

[0053] The pressure data acquisition submodule obtains the real-time gas pressure values ​​of the front and rear sections of the pressure regulating valve through the pressure transmitter, collects the current timestamp, establishes the corresponding pressure data sequence, and generates a real-time pressure data sequence;

[0054] Obtain the real-time gas pressure values ​​before and after the pressure regulating valve. Install a P1 pressure transmitter before the pressure regulating valve and a P2 pressure transmitter after the pressure regulating valve. Collect the pressure readings of natural gas at the same time point. For example, at T=0s, the P1 pressure value is 3.5MPa and the P2 pressure value is 3.2MPa. Collect the current timestamp and record it as T=0s through the embedded PLC acquisition module. Construct a sequence data table consisting of timestamps and corresponding pressure values. For example, the sequence data is {(T0, 3.5MPa, 3.2MPa), (T1, 3.4MPa, 3.1MPa), (T2, 3.3MPa)}. a, 3.0MPa)}, write the sequence data into the data cache in real time, call the sequence data of the latest three cycles in the data cache, take the difference one by one, calculate the pressure difference ΔP1 = 3.4-3.1 = 0.3MPa at time T1, and the pressure difference ΔP2 = 3.3-3.0 = 0.3MPa at time T2, establish a periodic pressure difference change rate sequence, and by comparing the pressure difference change rates Δ(ΔP) = ΔP2-ΔP1 = 0.0MPa at T1 and T2, combined with the periodic time interval ΔT = 1s, obtain the periodic pressure difference change rate Vd = Δ(ΔP) / ΔT = 0.0MPa / s, and generate a real-time pressure data sequence.

[0055] The pressure difference rate calculation submodule calculates the pressure difference between the gas pressure values ​​before and after the unit time based on the real-time pressure data sequence, calculates the pressure difference change rate, records the difference increment per cycle, and obtains the periodic pressure difference change rate;

[0056] Based on the real-time pressure data sequence, the pressure difference data of two consecutive time periods are extracted, ΔP1=0.3MPa, ΔP2=0.3MPa, and the periodic pressure difference change rate Vd=(ΔP2-ΔP1) / ΔT=0.0MPa / s is calculated. The current period difference increment Δ(ΔP)=0.0MPa is recorded. The time interval ΔT within the period is fixed to 1s by the system clock. The calculation result of the periodic pressure difference change rate is stored in array form. The example array is [0.0MPa / s], and the periodic pressure difference change rate is obtained.

[0057] The offset rate generation submodule adjusts the pressure difference according to the periodic pressure difference change rate and calls the preset pressure difference safety range using the formula:

[0058]

[0059] Calculate the adjustment deviation rate Vadj and output the adjustment deviation rate of the pipe section, where: Represents the actual pressure difference value in the i-th cycle, represents the preset pressure difference safety range value of the i-th cycle, ΔPrms represents the root mean square value of the pressure difference change rate during the cycle, Tvar represents the pressure fluctuation time change during the cycle, Sflow represents the gas flow rate increment during the cycle, and Apipe represents the cross-sectional area of ​​the pipe section;

[0060] According to the cyclic pressure difference change rate [0.0MPa / s], the preset pressure difference safety range is called. Assuming that the pipeline design specification stipulates that the pressure difference safety range is 0.2MPa to 0.5MPa, the deviation between the cyclic pressure difference change rate and the range is compared. The offset change calculation method is adopted. The flow rate increment Sflow within the cycle is assumed to be 5m3 / h, the pipe section cross-sectional area Apipe is 0.1m2, the cyclic pressure difference change rate root mean square value ΔPrms is √(Σ(ΔP2) / n)=√(0.32 / 2)=0.212MPa, and the pressure fluctuation time change Tvar is taken as 0.05s. Substitute it into the formula:

[0061]

[0062] Calculate and obtain the adjustment deviation rate, and generate the pipe section adjustment deviation rate.

[0063] Table 1 Parameters for calculating pipe section adjustment deviation rate

[0064]

[0065] As shown in Table 1, the calculation parameters for the pipe section adjustment deviation rate used in the embodiment are listed. These parameters are obtained by collecting pressure transmitters and flow meters before and after the pressure regulating valve, combined with the physical dimensions of the pipeline and the actual operating cycle. The results show that the deviation rate of the current pipe section under the shown working conditions is 0.00121 MPa / s.

[0066] The regulation deviation rate is a numerical indicator that measures the trend of changes in the difference between the current pressure state of a certain pipe section in the natural gas pipeline network and the preset regulation target. By comparing the deviation between the actual pressure difference before and after the pressure regulating valve and the pressure difference safety range allowed in the design specifications, combined with multiple factors such as the periodic pressure difference change rate, instantaneous flow velocity increment, pipeline cross-sectional area and pressure fluctuation time change, it reflects the rate and intensity of the pressure deviation of the pipe section per unit time. The larger the value, the faster the current pipe section pressure deviates from the regulation target, requiring priority attention and intervention. A smaller value indicates that the pressure state is relatively stable and the regulation action can be appropriately relaxed. This indicator is not only used to monitor the operating status of the pipe section in real time, but also serves as an important basis for the regulation amplitude and response frequency in the pressure regulation control strategy to achieve quantitative judgment of the dynamic changes in the natural gas pipeline network pressure.

[0067] The formula's operational logic is based on a three-tiered, progressive relationship: accumulation of differences, fluctuation amplification, and flow normalization. First, the absolute difference between the actual pressure differential and the preset safety range is summed to reflect the accumulated pressure excursion over consecutive cycles, serving as a measure of the overall deviation trend. Second, the root mean square (RMS) value of the cyclic pressure differential rate of change is squared and square-rooted, then multiplied by the temporal variation in pressure fluctuations. This amplifies the impact of short-term, drastic fluctuations and introduces dynamic variation, ensuring that transient anomalies are not masked by a simple mean. This total deviation is then divided by a normalizing term consisting of the ratio of flow velocity increment to pipeline cross-sectional area. The flow velocity increment reflects the coupled effect of natural gas flow conditions on the pressure regulation response, while the cross-sectional area reflects the ability of different pipe diameters to buffer the deviation rate. The normalization factor, "1 + flow velocity to cross-sectional area ratio," is used to constrain the deviation rate, preventing inflated deviation rates caused by a single, sudden change in flow velocity. Ultimately, a balanced integration of pressure deviation, dynamic fluctuation intensity, and physical flow characteristics is achieved, resulting in a regulation deviation rate that conforms to actual pipeline network operating conditions.

[0068] See also Figure 3 , the difference drive determination module includes:

[0069] The excursion trend identification submodule extracts excursion rate data for consecutive cycles based on the pipe segment adjustment excursion rate. It then determines the sign and direction of the excursion rate for each cycle, compares the pressure difference caused by the excursion rate cycle by cycle to see if it exceeds the upper limit of the tolerance band, records the current excursion trend, and establishes a trend determination result.

[0070] Based on the pipe section adjustment offset rate, first obtain the three-cycle offset rate data collected by the pressure transmitters before and after the pressure regulating valve, record the offset rate of the first cycle as 0.012MPa / s, the offset rate of the second cycle as 0.015MPa / s, and the offset rate of the third cycle as 0.018MPa / s. Extract the offset rate sign cycle by cycle, and judge that the offset rates of the three cycles are all positive. Then, according to the preset pressure difference setting value of 0.3MPa of the valve control system, the upper limit is determined as 0.33MPa according to the upper and lower limits of the tolerance band of ±10%, and the three-cycle offset rate is converted into the offset rate of 0.012MPa / s. The influence of the shift rate on the transient pressure difference is added to the adjustment results respectively. The transient pressure difference of the first cycle is calculated to be 0.335MPa, the second cycle is 0.340MPa, and the third cycle is 0.345MPa. These three sets of transient pressure difference values ​​are compared with the upper limit of the tolerance band of 0.33MPa cycle by cycle. It is confirmed that the transient pressure difference of the three cycles is greater than 0.33MPa, which meets the judgment condition of exceeding the upper limit of the tolerance band for three consecutive cycles. The judgment basis for the deviation trend is upward is formed. The above data is combined to form tabular information and included in the judgment, as follows:

[0071] Table 2 Offset trend determination data table

[0072]

[0073]

[0074] Table 2 shows the specific values ​​of the three-cycle migration rate, transient pressure difference, and upper limit of the tolerance band used for migration trend determination. Combined with the comparison results, the migration trend is finally recorded as an upward deviation direction, and the trend determination result is established.

[0075] The direction consistency check submodule obtains the current adjustment direction of the valve based on the trend judgment result, compares the valve adjustment direction with the offset trend direction, records the direction consistency status, and establishes an adjustment direction consistency mark;

[0076] According to the trend judgment results obtained above, the adjustment direction status of the current valve is extracted, the valve action record of the current cycle is queried, and the adjustment direction is confirmed to be "opening increase". The adjustment direction is directional compared with the offset trend direction, and the corresponding sign of the "opening increase" direction is defined as positive, which is the same as the upward trend direction. Confirm that the two directions are consistent. The judgment basis is the consistency of the signs of the offset trend direction and the adjustment action direction. If the signs are the same, they are considered to be consistent. If they are opposite, they are determined to be inconsistent. The comparison result is recorded as "direction consistency", and an adjustment direction consistency mark is established accordingly.

[0077] The regulation response generation submodule processes the regulation direction consistency mark in conjunction with the trend determination result. If the direction is consistent and continuously upward, it is marked as requiring adjustment of the regulation strategy and the response is summarized to establish a valve opening regulation response trend record.

[0078] Based on the direction consistency mark and trend judgment results, it is determined whether the adjustment strategy needs to be adjusted under the current valve adjustment state. If the offset trend is in the upward direction and the direction is consistent, it is determined that the current adjustment strategy needs to be adjusted. The offset trend intensity, the current adjustment direction state and the aforementioned transient pressure difference data are comprehensively analyzed, and the above data are incorporated into the adjustment response strategy. A highly targeted opening adjustment response trend is gradually generated, and the response trend is incorporated into the valve adjustment control sequence to complete the adjustment response judgment of this cycle, and finally a valve opening adjustment response trend record is established.

[0079] See also Figure 4 , the electric drive control stabilization module includes:

[0080] The time offset comparison submodule records the valve opening adjustment response trend, collects the current electric actuator motor's cumulative running time, reads the motor's rated continuous working time, calculates the time offset, determines whether there is a time limit risk, and obtains the motor time offset determination result;

[0081] Based on the valve opening adjustment response trend record, the current cumulative running time of the electric actuator motor is first collected. The sample data of 4500 hours is read through the real-time monitoring module in the drive control system. Then, the rated continuous working time of the motor provided by the manufacturer is called and set to 5000 hours. The two are compared to calculate the motor running time offset. The calculation method is 5000 hours minus 4500 hours, which is an offset of 500 hours. To evaluate the large offset, according to industry experience, an offset exceeding 10% of the rated continuous working time will be considered risky. Dividing 500 hours by 5000 hours yields an offset rate of 0.1, which is 10%, which belongs to the critical offset range. Table 4 lists the key data in this process.

[0082] Table 3 Motor time offset comparison data table

[0083] Current cumulative time (h) Rated continuous time (h) Time offset (h) Deviation rate 4500 5000 500 10％

[0084] As shown in Table 3, the various data used in the motor time offset determination process are recorded. The offset is confirmed to reach the determination threshold through offset rate analysis, and the motor time offset determination result is obtained.

[0085] The current fluctuation determination submodule reads the current feedback signal value based on the motor time offset determination result, compares the current feedback signal with the tolerance band, records the current fluctuation exceeding the limit in the current cycle, and obtains the motor current fluctuation status;

[0086] According to the result of the motor time offset judgment, the current feedback signal value in the motor drive circuit is further collected. The example collected value is 18.5mA. At the same time, the motor rated current setting value of 16mA is called. According to the ±15% tolerance band standard, the allowable fluctuation range is calculated to be 13.6mA to 18.4mA. The feedback signal value is compared with the upper tolerance limit of 18.4mA. It is found that the current value 18.5mA exceeds the upper tolerance limit by 0.1mA. Based on the comparison result, it is determined that the current current fluctuation exceeds the limit. Combined with the deviation amplitude of the motor feedback signal and the judgment standard, a current fluctuation state mark is generated and marked as "overlimit", thereby completing the current fluctuation state judgment and obtaining the motor current fluctuation state.

[0087] The stable state generation submodule uses the formula:

[0088]

[0089] Calculate the valve regulation stability coefficient Ks and generate the valve regulation stability state identifier, where Pd is the offset trend strength (unit: MPa / s), Df is the regulation direction consistency state (1 indicates consistency, -1 indicates inconsistency), To is the motor time offset (unit: hours), Tr is the motor rated continuous working time (unit: hours), If is the current feedback signal value (unit: mA), Ir is the motor rated current (unit: mA), Fl is the current pipe load flow (unit: m3 / h), and Cv is the valve flow coefficient (unit: m3 / h·√MPa).

[0090] Based on the results of the motor current fluctuation state and the motor time offset, combined with the valve opening adjustment response trend, we first extract the offset trend intensity example value 0.018 MPa / s and use it as the initial term of the current adjustment offset impact. We then read the adjustment direction consistency state example value 1 and multiply the two to obtain the offset trend term:

[0091] 0.018×1=0.018;

[0092] Then, the motor time offset of 500 hours and the rated continuous working time of the motor of 5000 hours are obtained to calculate the offset ratio:

[0093]

[0094] Taking the square root of the offset ratio yields the time offset term:

[0095]

[0096] Continue to read the current feedback signal value 18.5mA and the motor rated current 16mA, and calculate the relative current deviation:

[0097]

[0098] Add the offset trend term, time offset term, and current deviation term to calculate the total impact:

[0099] 0.018+0.316+0.15625=0.49025;

[0100] Then obtain the current pipe flow rate of 10m3 / h and the valve flow coefficient of 50m3 / h·√MPa, and calculate the flow correction factor:

[0101]

[0102] The final calculated valve regulation stability coefficient is:

[0103]

[0104] This stability coefficient is compared with the system-set stability threshold of 0.3 (derived from the critical value of the system's sensitivity to regulation deviations under rated flow conditions. This is based on a joint test of the valve opening change rate and motor load current fluctuation amplitude at 80% of the rated load by the valve design unit. Statistics show that when the deviation trend intensity reaches 0.02 MPa / s, the motor time deviation rate does not exceed 0.1, and the current deviation does not exceed 0.12, the valve response remains within ±3% opening fluctuation. This corresponds to a stability coefficient of approximately 0.3. Furthermore, when the flow load variation does not exceed 20% of the rated flow, this value remains relatively stable. Beyond this range, valve opening fluctuations become abnormal. Therefore, 0.3, as the critical value for regulation stability, decreases linearly with increasing flow load, but remains constant within the 0-80% load range, ensuring engineering applicability and matching actual operating conditions). Since 0.40854 > 0.3, the current valve regulation state is determined to be "unstable." Combined with the calculation results, the valve regulation state for this cycle is determined, and the valve regulation stability indicator is generated as "unstable." The results show that the combined effect of the offset trend intensity, motor aging degree and current fluctuation causes the valve adjustment state to exceed the allowable fluctuation range, which is consistent with the abnormal judgment logic of the on-site application scenario.

[0105] The valve regulation stability coefficient is a quantitative indicator that reflects the fluctuation amplitude of the comprehensive regulation state of the valve under the current operating conditions. The larger the value, the more significant the superimposed influence of factors such as offset trend, motor aging and current fluctuation on the valve regulation process, and the more unstable the regulation action. This coefficient uses a unified normalization process to comprehensively measure key parameters such as offset trend intensity, motor time offset and current feedback deviation, eliminating differences in different units and dimensions, and intuitively reflecting the degree of response deviation caused by external load changes, internal aging effects and transient disturbances in the valve regulation process within the current cycle. If the coefficient value exceeds the judgment threshold set by the valve system, it indicates that the current valve regulation state has exceeded the controllable range and there is a risk of unstable regulation. Otherwise, the regulation state is considered to be stable. Therefore, this coefficient is not only a real-time reflection of the valve regulation behavior, but also an important basis for subsequent regulation strategy optimization and safety control.

[0106] The formula's operational logic is based on the combined impact of various factors in the regulation stability assessment on the valve's actual operating state. The offset trend strength is multiplied by the regulation direction consistency. This is because the offset trend only exacerbates the regulation offset when the direction is consistent; if the direction is opposite, the offset tends to cancel it out. Therefore, the directional effect needs to be quantified and added using a directional factor. The impact of the motor's cumulative operating time is reflected in the offset rate, which reflects its aging. Aging-related performance degradation has a nonlinear effect on regulation stability. Taking its square root reflects its incremental effect, with early slowness and later acceleration. Current deviation directly reflects the impact of transient motor load changes on regulation. Therefore, it is added to the total impact factor in absolute terms. The sum of these three influencing factors forms a composite offset of the regulation state, reflecting the combined effect of these different factors within the same cycle. The flow correction factor is modified based on the ratio of the valve's flow load to the flow coefficient. Because flow changes have an amplifying effect on valve response, it needs to be normalized using a denominator correction. Finally, the composite offset is divided by the flow correction factor to obtain the stability coefficient. This ensures comparability and adaptability of the assessment results across different operating conditions, enabling accurate quantitative assessment of the current valve regulation state.

[0107] See also Figure 5 , the lockout abnormality identification module includes:

[0108] The response interruption detection submodule obtains the valve advancement action feedback information within the locking control cycle based on the valve regulation stable state identification, detects the continuity and response timeliness of the feedback signal cycle by cycle, detects the response interruption situation, and establishes the response interruption record;

[0109] Based on the valve regulation stable state identification, the feedback signal data of the valve propulsion action within the locking control cycle is obtained, and all propulsion action numbers within the cycle are extracted in sequence. The corresponding feedback signal acquisition timestamps are compared with the control instruction issuance time one by one to determine whether the feedback signal is returned on time. If it is detected that the feedback signal delay exceeds the allowable response time, or the feedback signal is missing, the cycle number is marked as a response interruption. For example, the 7th cycle number P-007 is marked because the feedback signal delay exceeds the limit, and the 13th cycle number P-013 is marked because the feedback signal is not detected. Both are identified as response interruption events. Table 4 shows the specific records of response interruptions in the process of valve locking abnormality identification, and establishes response interruption records.

[0110] The stuck motion identification submodule extracts all marked propulsion motion numbers based on the response interruption records, analyzes the corresponding motion execution status, compares the actual completion time with the standard valve motion completion time, identifies abnormal stuck phenomena during the execution process, and establishes a list of stuck motion numbers;

[0111] According to the response interruption record, the propulsion action number corresponding to the marked cycle is extracted, the action execution status of the number is analyzed, and the time interval from the issuance of the action instruction to the return of the feedback is compared with the standard completion time set by the system. The feedback completion time of the 7th cycle number P-007 exceeds the standard action time limit and is determined to be an action stuck. The 13th cycle number P-013 is directly identified as a stuck abnormality due to the lack of feedback signal return. Both are included in the stuck number list. Combined with the classification of the stuck reasons, the 7th cycle is a timeout stuck, and the 13th cycle is a no-feedback stuck. Table 4 records the action stuck conditions of each cycle number in detail, and establishes an action stuck number list.

[0112] The interruption count submodule counts the number of regulation response interruptions and action jams that occurred in the current control cycle based on the action jam number list and response interruption records, compares them with the interruption count threshold, determines whether the regulation action in the current cycle meets the lockout abnormality recognition condition, and generates the interruption count threshold judgment result;

[0113] According to the response interruption record and action stuck number list, the number of abnormal events in this cycle is counted, and the abnormal events of the 7th cycle and the 13th cycle are counted as 1 time each, totaling 2 times. The statistical value is compared with the interruption number threshold set by the system. The threshold is set according to the valve model and load conditions. The reference is to the lockout protection standard triggered when the adjustment response is abnormal for three consecutive times at 75% of the rated load. The threshold value is set to 3 times. The current cumulative abnormality is 2 times, which does not reach the threshold. Therefore, it is determined that the lockout abnormality condition is not met in this cycle. Table 4 records all the abnormal numbers and corresponding states involved in the lockout abnormality identification process to form the interruption count threshold determination result.

[0114] Table 4 Valve locking abnormality identification data table

[0115] Cycle Number Response interrupt flag Action stuck marker Action completion time exceeds limit Accumulated number of times in the locking control cycle P-007 yes yes time out 1 P-013 yes yes No feedback 1

[0116] As shown in Table 4, the table lists in detail the cycle numbers and abnormal states of response interruptions and action jams that occurred within this cycle, forming the basic data for identifying this locking abnormality.

[0117] See also Figure 6 , the leakage blocking trigger module includes:

[0118] The pressure change monitoring submodule expands the continuously collected pressure data into a time series based on the interruption count threshold judgment result, calculates the pressure change rate per unit time, compares it with the leakage pressure threshold, marks abnormal changes, and generates a pressure change status record;

[0119] According to the interruption count threshold judgment result, the pressure data sequence in the current natural gas pipeline section is obtained, the acquisition range is limited to the key period within the lock cycle, data sampling is performed in minutes, and the starting pressure and ending pressure data of the two consecutive time periods of 08:00-08:01 and 08:01-08:02 are obtained to ensure that the data acquisition covers the potential time interval of abnormal fluctuations. First, the starting pressure of 5.2MPa and the ending pressure of 5.0MPa in the time period of 08:00-08:01 are extracted, and the difference operation is performed to obtain the pressure change of -0.2MPa. This value is divided by the 1-minute time interval to convert the pressure change rate to -0.2MPa / min. Then, the starting pressure of 5.0MPa and the ending pressure of 4.7MPa in the time period of 08:01-08:02 are obtained. The difference is -0.3MPa, and the pressure change rate is -0.3MPa / min. The data is completed. After data collection, the change rates of the two data segments were compared with the leakage pressure threshold set by the system. This threshold was set to -0.25 MPa / min based on the designed rated pressure of the pipe segment and the operating conditions. It was specifically determined by the design unit based on the gas transmission capacity, material strength, and safety factor. During the time period of 08:00-08:01, the pressure change rate of -0.2 MPa / min did not exceed the threshold and was determined to be normal. However, during the time period of 08:01-08:02, the pressure change rate of -0.3 MPa / min exceeded the threshold and was determined to be an abnormal change. This time period was marked as an over-limit trigger event, and a pressure change status record was generated. Table 6 lists the starting pressure, ending pressure, calculated change rate, set leakage threshold, and final trigger judgment for each time period during this test process to ensure the traceability and consistency of the test data. Combined with the results of Table 5, a pressure change status record was generated.

[0120] Table 5 Leakage blocking trigger judgment data table

[0121]

[0122] The over-limit trigger judgment submodule analyzes all abnormal change marks detected in the current cycle based on the pressure change status record, determines whether the abnormal change meets the trigger conditions, compares the number of abnormal changes with the trigger threshold, determines the leak blocking trigger event, and outputs the leak prevention and control feedback mark;

[0123] Based on the pressure change status records generated in Table 5, statistics and judgments are performed on abnormal events. All marked abnormal events in the current cycle are accumulated and compared with the leak blocking trigger judgment threshold. This threshold is set by the design department based on the pipeline safety level, pressure bearing capacity, and adjustment frequency. The judgment standard is generally that abnormal change events occurring within two consecutive cycles are considered a trigger to prevent short-term fluctuations from falsely triggering the lockout protection. The system threshold is dynamically adjusted based on the pipeline material type and the actual operating pressure range. For this cycle, statistics show that the time period from 08:01 to 08:02 was marked as abnormal, with a cumulative number of abnormalities of one, which does not meet the system-set trigger judgment standard of two. Therefore, it is determined that the leak blocking trigger conditions are not met in the current cycle. However, the prevention and control feedback results must still be output. The trigger judgment status of this cycle is recorded. According to the prevention and control requirements, a leak prevention and control feedback flag is output with the flag status as "not triggered". At the same time, the abnormal event details, judgment basis, and trigger threshold for this cycle are archived together to ensure trend analysis and traceability in subsequent cycles and to ensure the integrity of the system judgment logic and data collection results.

[0124] The locking command issuing submodule issues a forced locking instruction based on the leakage prevention and control feedback indicator, executes the valve closing operation, and simultaneously detects the immediacy of the pipe section isolation operation. It records the execution status of the current pipe section forced locking action and generates the leakage blocking locking action execution result;

[0125] According to the leakage prevention and control feedback mark "not triggered", the valve control system is linked to determine whether a forced locking instruction needs to be issued. Based on the prevention and control feedback results and the locking action judgment logic, the system will only execute forced locking when the feedback mark is "triggered". Since the trigger conditions are not met in this cycle, there is no need to issue a locking instruction. However, the detection data, pressure change status records, prevention and control feedback marks and judgment results in this cycle need to be archived to form a periodic locking action execution record. The archived content includes the starting pressure, ending pressure, pressure change rate, leakage threshold, trigger judgment status, abnormal event number statistics and trigger judgment results of each detection time period, ensuring a clear and complete data link and supporting subsequent direct reference in abnormal trend analysis, emergency backtracking and operation and maintenance management. Finally, the judgment result of this cycle is generated into a leak blocking locking action execution result, and the record status is "not locked". It is synchronously updated to the valve control system monitoring interface and the background database to ensure the consistency and traceability of the operation instructions and judgment results.

[0126] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system is characterized by: The system comprises: The pressure state acquisition module obtains the real-time gas pressure value before and after the pressure regulating valve in the natural gas pipeline network, calculates the pressure difference rate before and after the current unit time, calculates the offset change between the current pressure state and the regulation target, and generates the pipeline section regulation offset rate; The differential drive determination module determines the trend based on the pipe section adjustment deviation rate by comparing the sign and direction of the deviation rate with the upper and lower limits of the valve pressure difference setting value tolerance band, determines whether the current valve adjustment direction needs to be changed, and generates a valve opening adjustment response trend record; The electric drive control stabilization module reads the accumulated motor running time and current feedback signal value of the current electric actuator according to the valve opening adjustment response trend record, compares them with the rated continuous working time of the motor and the allowable range of current fluctuation, determines whether the current valve adjustment is stable, and generates a valve adjustment stability state indicator; The locking abnormality identification module identifies the abnormal adjustment response problem based on the valve adjustment stable state identifier, statistically classifies the corresponding valve advancement action number, determines the number of adjustment interruptions in the current cycle, and generates an interruption count threshold judgment result.

2. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The pipe section adjustment offset rate includes the offset direction, offset amplitude, and rate change trend; the valve opening adjustment response trend record includes the adjustment direction determination mark, the number of consecutive offset cycles, and the offset trend category; the valve adjustment stable state identifier includes the motor time offset, the current fluctuation state, and the adjustment stability state; the interruption count threshold judgment result includes the number of adjustment interruptions, the number of action jams, and the abnormal distribution record within the locking period.

3. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The pressure state acquisition module: The pressure data acquisition submodule obtains the real-time gas pressure values ​​of the front and rear sections of the pressure regulating valve through the pressure transmitter, collects the current timestamp, establishes the corresponding pressure data sequence, and generates a real-time pressure data sequence; The pressure difference rate calculation submodule calculates the pressure difference between the gas pressure values ​​before and after the real-time pressure data sequence per unit time, calculates the pressure difference change rate, records the difference increment per cycle, and obtains the periodic pressure difference change rate; The adjustment offset rate generating submodule calls a preset pressure difference safety range according to the periodic pressure difference change rate, calculates the adjustment offset rate, and outputs the pipe section adjustment offset rate.

4. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The differential drive determination module includes: The excursion trend identification submodule adjusts the excursion rate of the pipe section, extracts the excursion rate data of consecutive cycles, determines the positive and negative signs and directions of the excursion rate of each cycle, compares the pressure difference caused by the excursion rate cycle by cycle to see if it exceeds the upper limit of the tolerance band, records the current excursion trend, and establishes a trend determination result; The direction consistency check submodule obtains the current adjustment direction of the valve according to the trend determination result, compares the valve adjustment direction with the offset trend direction, records the direction consistency state, and establishes an adjustment direction consistency mark; The adjustment response generation submodule performs linkage processing based on the adjustment direction consistency mark and the trend judgment result. If the direction is consistent and continuously upward, it is marked as needing to adjust the adjustment strategy and perform response summary to establish the valve opening adjustment response trend record.

5. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The electric drive control stabilization module includes: The time offset comparison submodule collects the current electric actuator motor cumulative running time according to the valve opening adjustment response trend record, reads the motor rated continuous working time, calculates the time offset, determines whether there is a time limit overrun risk, and obtains the motor time offset determination result; The current fluctuation determination submodule reads the current feedback signal value according to the motor time offset determination result, compares the current feedback signal with the tolerance band, records the current fluctuation exceeding the limit in the current cycle, and obtains the motor current fluctuation state; The stable state generation submodule calculates the valve regulation stability coefficient according to the motor current fluctuation state and the motor time offset determination result, combined with the previous offset trend and the regulation response data, and generates a valve regulation stable state identifier.

6. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The locking abnormality identification module includes: The response interruption detection submodule obtains valve advancement action feedback information within the locking control cycle based on the valve regulation stable state identifier, detects the continuity and response timeliness of the feedback signal cycle by cycle, detects response interruption conditions, and establishes a response interruption record; The action jam identification submodule extracts all marked propulsion action numbers based on the response interruption record, analyzes the corresponding action execution status, compares the actual completion time with the valve standard action completion time, identifies abnormal jamming phenomena in the execution process, and establishes an action jam number list; The interruption count statistics submodule counts the number of adjustment response interruptions and the number of action jams that occurred in the current control cycle based on the action jam number list and the response interruption record, compares them with the interruption count threshold, determines whether the adjustment action in the current cycle meets the lockout abnormality recognition condition, and generates an interruption count threshold judgment result.

7. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 1 is characterized in that: The system further comprises: The leakage blocking trigger module collects the pressure change rate per unit time in the current natural gas pipeline section based on the interruption count threshold judgment result, and compares it with the leakage pressure threshold. If the pressure change rate exceeds the limit, it is marked as a trigger event, outputs the forced blocking command of the current natural gas pipeline section and the leakage prevention and control feedback mark, and generates the execution result of the leakage blocking action; The execution result of the leakage blocking and locking action includes the leakage triggering event type, the forced locking command, and the leakage prevention and control feedback mark.

8. The natural gas pipeline electric valve adaptive pressure regulation and real-time leakage blocking system according to claim 7 is characterized in that: The leakage blocking trigger module includes: The pressure change monitoring submodule expands the continuously collected pressure data into a time series according to the interruption count threshold determination result, calculates the pressure change rate per unit time, compares it with the leakage pressure threshold, marks abnormal changes, and generates a pressure change status record; The over-limit trigger determination submodule analyzes all abnormal change marks detected in the current cycle based on the pressure change state record, compares the number of abnormal changes with the trigger threshold, determines the leakage blocking trigger event, and outputs a leakage prevention and control feedback mark; The locking command issuing submodule issues a forced locking instruction based on the leakage prevention and control feedback identifier, executes the valve closing operation, synchronously detects the immediacy of the pipe section isolation operation, records the execution status of the current pipe section forced locking action, and generates the leakage blocking locking action execution result.

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