A synergistic anti-blocking optimization control method and system of inhibitor-coating for key pipe sections and extreme working conditions

Abstract

The application discloses a kind of inhibitor-coating synergistic anti-blocking optimization control method and system for key pipe section and extreme condition, comprising: obtaining the spatial risk attribute of each spatial sub-region in target pipeline;Identify the time mutation state of the current operating environment of target pipeline;Evaluate the synergistic residual performance of multiple protection measures combination;Based on spatial risk attribute, time mutation state and synergistic residual performance, calculate the protection control priority;According to the protection control priority, generate and execute the differentiated protection control strategy, and trigger the temporary enhanced mode when the time mutation state is identified and automatically rollback after ending.The application realizes the differentiated accurate allocation of protection resources and adaptive dynamic regulation under extreme condition, and considers the anti-blocking effect, cost and environmental load.

Description

Technical Field

[0001] This invention relates to the field of anti-clogging control technology for hydrate slurry transportation, and in particular to an inhibitor-coating synergistic anti-clogging optimization control method and system for critical pipe sections and extreme operating conditions. Background Technology

[0002] In practical hydrate slurry transportation projects, anti-clogging strategies cannot remain static indefinitely. Different pipe sections have varying heat exchange capacities, flow field structures, insulation conditions, flow interruption frequencies, support forms, and historical clogging risks, thus requiring different levels of inhibitors and coatings. For example, elbows, tees, areas before and after valves, localized temperature drop zones, and high-risk areas for flow interruption and restart are often more prone to near-wall deposition and localized clogging than ordinary straight pipe sections.

[0003] While adopting a uniform injection concentration, maintenance cycle, and interface scheme for the entire pipeline is simple to implement, resource allocation may not be concentrated in the areas most in need. For low-risk straight pipe sections, excessive injection intensity can lead to chemical waste and environmental burden; for high-risk bends, tees, or areas experiencing temperature drops, a uniform strategy may not provide sufficient protection.

[0004] On the other hand, the impact of extreme operating conditions on blockage risk is sudden and non-linear. Rapid temperature drops, sudden decreases in flow velocity, increases in water content, restarting flow after a shutdown, and local pressure fluctuations can all significantly amplify the risk of hydrate formation and deposition in a short period of time. Solutions that are economical and effective under normal operating conditions may not provide sufficient protection under extreme conditions; while high-intensity solutions that cover the most extreme conditions at all times may result in excessively high costs and unnecessary environmental burdens.

[0005] Current anti-blockage operation control in engineering projects is generally still relatively crude. Common practices include uniformly increasing the concentration of chemicals across the entire line, using the same coating in all key areas, maintaining according to a fixed schedule, or manually adding chemicals temporarily when the risk increases. These methods have shortcomings such as low resource allocation efficiency, inability to make detailed responses to the different risks of different key pipe sections, and difficulty in translating offline assessment results into online control actions in real time.

[0006] Furthermore, even if existing technologies possess comprehensive evaluation methods encompassing effectiveness, cost, and environment, they typically remain at the level of comparing different options, rarely delving into the online operational control layer. Evaluation results often only provide static conclusions about which option is better, without addressing dynamic issues such as how to adjust reagent levels, initiate temporary enhancements, adjust flow rate windows, or prioritize maintenance of a specific segment under the current moment, pipe section, and extreme operating conditions. Summary of the Invention

[0007] The purpose of this invention is to provide an inhibitor-coating synergistic anti-clogging optimization control method and system for critical pipeline sections and extreme operating conditions. Based on real-time operating data, risk information of critical pipeline sections, and synergistic performance parameters, it dynamically generates differentiated agent injection strategies, local operating condition correction strategies, local reinforcement priorities, and maintenance window suggestions to control costs and environmental impact while ensuring anti-clogging effectiveness. This invention is applicable to deep-water oil and gas pipelines, natural gas hydrate risk pipelines, oil and gas mixed transportation pipelines, and solid-slurry-containing transportation systems. It can be used to dynamically generate differentiated agent injection strategies, local operating correction strategies, local reinforcement priorities, and maintenance window suggestions under different critical pipeline sections and extreme operating conditions.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] In a first aspect, the present invention provides an inhibitor-coating synergistic anti-clogging optimization control method for critical pipe sections and extreme operating conditions, comprising:

[0010] Obtain the spatial risk attributes of each spatial sub-region in the target pipeline; identify the temporal abrupt changes in the current operating environment of the target pipeline;

[0011] Assess the synergistic residual effectiveness of the combination of various protective measures currently employed on the target pipeline;

[0012] Based on spatial risk attributes, temporal abrupt changes, and collaborative residual effectiveness, the protection and control priorities of each spatial sub-region are calculated.

[0013] Based on the protection control priority, differentiated protection control strategies are generated and executed for each spatial sub-region; wherein, when a time change state is identified, a temporary enhanced mode of the differentiated protection control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time change state ends.

[0014] As one implementation method, obtaining the spatial risk attributes of each spatial sub-region in the target pipeline includes: dividing the target pipeline into multiple spatial sub-regions with different spatial risk levels based on the physical topology attributes and historical operation data of the spatial sub-regions; identifying the time-change state of the current operating environment of the target pipeline includes: identifying the time-change state based on the comparison result of the change rate of the real-time operating parameters of the target pipeline and a preset threshold.

[0015] As one implementation, the physical topology attributes include geometric structural features and heat exchange conditions; the historical operating data includes historical anomaly frequencies; the real-time operating parameters include at least one of temperature, pressure, flow rate, and moisture content; the time-abrupt state includes at least one of the following: temperature change rate exceeding a first preset threshold, pressure fluctuation amplitude exceeding a second preset threshold, flow rate fluctuation amplitude exceeding a third preset threshold, or being in a stop-and-start condition.

[0016] As one implementation method, the assessment of the synergistic residual effectiveness of the combination of multiple protective measures currently used in the target pipeline includes: constructing a multi-parameter weighted attenuation model; based on the multi-parameter weighted attenuation model, integrating the effective concentration of chemical protective agents and the residual effectiveness of physical protective layers in the combination of multiple protective measures, calculating a synergistic protection effectiveness index; and using the synergistic protection effectiveness index as the synergistic residual effectiveness.

[0017] As one implementation, the input parameters of the multi-parameter weighted attenuation model also include near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters; the chemical protective agent includes fluid additives, and the physical protective layer includes pipe wall protective coatings; the calculation of the synergistic protection effectiveness index includes: calculating the synergistic protection effectiveness index by weighted summation based on effective concentration, residual effectiveness, near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters.

[0018] As one implementation method, the step of calculating the protection control priority of each spatial sub-region based on the spatial risk attributes, the temporal abrupt change state, and the collaborative residual effectiveness includes: under preset cost constraints and environmental constraints, dynamically allocating the protection resource weights of each spatial sub-region based on the probability of blockage formation, the severity of blockage consequences, and the collaborative residual effectiveness of each spatial sub-region; and determining the protection control priority of each spatial sub-region based on the protection resource weights and the temporal abrupt change state.

[0019] As one implementation method, the step of triggering a temporary enhanced mode of the differentiated protection control strategy when a time-abrupt state is identified, and automatically reverting to the normal control mode after the time-abrupt state ends, includes: when a time-abrupt state is identified, increasing the protection control priority of the spatial sub-region whose spatial risk attributes meet the preset high-risk conditions, and triggering a temporary enhanced strategy that increases the local protective agent concentration and shortens the refueling cycle; after executing the differentiated protection control strategy, acquiring pressure drop change data and risk error data before and after execution; dynamically adjusting the protection resource weights based on the pressure drop change data and risk error data, and exiting the temporary enhanced mode when the risk error data falls back to the preset safe range.

[0020] Secondly, the present invention also provides an inhibitor-coating synergistic anti-clogging optimization control system for critical pipe sections and extreme operating conditions, used to implement the method described above, comprising:

[0021] The spatial risk assessment module is used to obtain the spatial risk attributes of each spatial sub-region in the target pipeline.

[0022] The time-change identification module is used to identify the time-change status of the current operating environment of the target pipeline;

[0023] The synergy effectiveness assessment module is used to assess the synergistic residual effectiveness of the combination of various protection measures currently used in the target pipeline;

[0024] The priority calculation module is used to calculate the protection and control priority of each spatial sub-region based on spatial risk attributes, temporal abrupt change status, and collaborative residual effectiveness.

[0025] The strategy generation and execution module is used to generate and execute differentiated protection and control strategies for each spatial sub-region based on the protection and control priority. When a time-abrupt state is detected, a temporary enhanced mode of the differentiated protection and control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time-abrupt state ends.

[0026] Thirdly, the present invention also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method described above.

[0027] Fourthly, the present invention also provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method described above.

[0028] Compared with the prior art, the present invention has the following advantages:

[0029] The technical solution provided in this application solves the technical problem of mismatch between static resource allocation and dynamic risk in traditional anti-blocking control by constructing a three-dimensional driven control logic of "spatial risk attributes - temporal abrupt change state - synergistic residual effectiveness". Specifically, it uses spatial risk attributes to classify pipelines in a refined manner, combined with real-time identification of temporal abrupt change state, so that protection resources can be tilted towards high-risk areas and extreme operating conditions, significantly improving the targeting of protection; it introduces synergistic residual effectiveness assessment, quantifies the combined effect of chemical protective agents and physical protective layers and their attenuation state into the decision, avoiding protection blind spots caused by single-dimensional evaluation; furthermore, through the automatic triggering of temporary enhancement mode and the automatic backoff mechanism based on pressure drop and risk error feedback, an online closed loop of "perception-decision-execution-feedback" is formed, which not only ensures the safety margin under extreme operating conditions, but also prevents the cost waste and environmental burden caused by long-term excessive protection, and achieves a global dynamic optimal balance between anti-blocking effect, economic benefits and environmental friendliness. Attached Figure Description

[0030] Figure 1 Optimize the control flow chart for collaborative blocking.

[0031] Figure 2 This is a schematic diagram illustrating the classification and differentiated control of key pipe sections.

[0032] Figure 3 This is a schematic diagram illustrating the changes in control priority under extreme operating conditions.

[0033] Figure 4 A diagram showing the comparison of effects before and after optimization control. Detailed Implementation

[0034] The technical solution of the present invention will be further described below with reference to specific embodiments and accompanying drawings, but the present invention is not limited to specific embodiments.

[0035] like Figure 1 As shown, this embodiment provides an inhibitor-coating synergistic anti-clogging optimization control method for critical pipe sections and extreme operating conditions, including:

[0036] S100: Obtain the spatial risk attributes of each spatial sub-region in the target pipeline; identify the temporal abrupt change state of the current operating environment of the target pipeline.

[0037] Based on the physical topology attributes and historical operational data of the spatial sub-regions, the target pipeline is divided into multiple spatial sub-regions with different spatial risk levels. Specifically, this division comprehensively considers the pipeline's inherent static characteristics and long-term operational performance. The physical topology attributes include geometric structural features and heat exchange conditions, while the historical operational data includes the frequency of historical anomalies. For example... Figure 2 As shown, in practical engineering applications, the target pipeline can be finely divided into three typical risk level zones: Level I spatial sub-regions typically include elbows, tees, valve bodies, and areas with significant local temperature drops. These areas are prone to severe flow field disturbances due to their complex geometric structures, or to becoming nucleation hotspots for hydrate or wax deposition due to poor heat exchange conditions such as damaged insulation layers or insufficient burial depth. Historical records show that their blockage failure rate is significantly higher than the average level. Level II spatial sub-regions mainly include straight pipe sections before and after valves, and upstream and downstream transition sections of elbows. Their risk characteristics are between Level I and Level III. Although their structure is relatively simple, they are easily affected by upstream disturbance transmission or downstream back pressure fluctuations, and belong to the risk fluctuation zone. Level III spatial sub-regions are long-distance ordinary straight pipe sections with regular geometric structures, stable heat exchange environments, and stable historical operation, belonging to the low-risk baseline zone.

[0038] Simultaneously, based on the comparison between the rate of change of real-time operating parameters of the target pipeline and preset thresholds, time-abrupt states are identified. Specifically, real-time operating parameters include at least one of temperature, pressure, flow rate, and moisture content. Correspondingly, time-abrupt states include at least one of the following: temperature change rate exceeding a first preset threshold, pressure fluctuation exceeding a second preset threshold, flow rate fluctuation exceeding a third preset threshold, or being in a stop-and-startup condition. For example, when the rate of temperature decrease in a certain pipeline segment exceeds the first preset threshold per unit time, the system determines that it has entered a time-abrupt state of sudden temperature drop; or, when the pipeline undergoes a restart process after an unplanned shutdown, since an initial deposit layer may have formed near the wall during the static period, the flow rate shear force change at the moment of restart and the particle resuspension effect are superimposed, constituting a special composite time-abrupt state, the risk mechanism of which is completely different from steady-state transportation.

[0039] S200 assesses the synergistic residual effectiveness of a combination of various protective measures currently employed on the target pipeline.

[0040] A multi-parameter weighted attenuation model was constructed to characterize the dynamic failure process of protective measures over time and under changing operating conditions. Based on the multi-parameter weighted attenuation model, the effective concentration of chemical protective agents and the remaining effectiveness of physical protective layers in a combination of various protective measures were integrated to calculate the synergistic protective effectiveness index. The chemical protective agents include fluid additives, and the physical protective layers include pipe wall protective coatings. Specifically, the effective concentration refers to the concentration of active components that exert an inhibitory effect within a spatial sub-region; the remaining effectiveness refers to the integrity and functional retention rate of the pipe wall protective coating at the current moment relative to its initial design state, which can be obtained through online impedance monitoring, ultrasonic thickness measurement, or a life prediction model based on historical erosion rates.

[0041] The input parameters of the multi-parameter weighted attenuation model also include near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters. Based on the effective concentration, residual effectiveness, near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters, the synergistic protection effectiveness index is calculated by weighted summation.

[0042] Finally, the calculated collaborative protection effectiveness index is used as the collaborative residual effectiveness.

[0043] S300 calculates the protection and control priority of each spatial sub-region based on spatial risk attributes, temporal abrupt change status, and collaborative residual effectiveness.

[0044] Under pre-defined cost and environmental constraints, the protection resource weights for each spatial sub-region are dynamically allocated based on the probability of congestion formation, the severity of congestion consequences, and the collaborative residual effectiveness. Specifically, the probability of congestion formation is first multiplied by the severity of congestion consequences to obtain an expected risk value, which characterizes the potential losses that may be faced without intervention. Subsequently, the expected risk value is normalized using collaborative residual effectiveness to obtain the demand intensity reflecting the actual protection gap. Based on this, the pre-defined cost and environmental constraints are incorporated as boundary conditions into the optimization objective function to solve for the optimal protection resource weight allocation scheme that minimizes global risk under the current constraints.

[0045] When no sudden time change is detected, the system operates in normal control mode; when a sudden time change is detected, the protection control priority of the affected area is rapidly increased within a short period. For example... Figure 3 As shown, within the extreme operating condition window, the control priority curve for Level I critical pipe sections exhibits a steep upward trend, rapidly climbing to the highest level and maintaining high-level fluctuations, while the priority of Level III ordinary straight pipe sections remains basically at a low level. This differentiated response mechanism ensures that limited emergency resources can be accurately deployed to the most vulnerable nodes, avoiding resource congestion caused by simultaneous upgrades across the entire line.

[0046] S400: Based on the protection control priority, generate and execute differentiated protection control strategies for each spatial sub-region; wherein, when a time change state is identified, a temporary enhanced mode of the differentiated protection control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time change state ends.

[0047] When a temporal abrupt change is detected, the protection control priority of the spatial sub-region that meets the preset high-risk conditions is increased, and a temporary enhancement strategy is triggered to increase the local protective agent concentration and shorten the injection cycle. The preset high-risk conditions include areas with a spatial risk level of I or II. The execution parameters of the temporary enhancement strategy can be adaptively matched according to the type of abrupt change. For example, under the condition of a sudden drop in temperature, the system can increase the injection concentration of the local fluid additive by 20% to 50% based on the baseline value, while adjusting the injection cycle from once per hour to once every 15 minutes to quickly build a supersaturated chemical protective barrier near the wall. Under the condition of stopping and restarting, in addition to increasing the concentration, the system can also link with the correction module to suggest appropriately increasing the initial flow rate, using fluid shear force to assist in the removal of the initial deposit nuclei formed during the quiescent period.

[0048] After implementing the differentiated protection and control strategy, pressure drop change data and risk error data are acquired before and after implementation. The pressure drop change data is obtained by measuring the difference in readings of upstream and downstream pressure sensors in the target spatial sub-region; the risk error data is obtained by measuring the absolute value of the deviation between the risk index predicted by the system and the risk characterization parameters actually monitored.

[0049] Based on pressure drop change data and risk error data, the weights of protective resources are dynamically adjusted, and the temporary enhancement mode is exited when the risk error data falls back to the preset safe range. Specifically, if after implementing the temporary enhancement strategy, the pressure drop change data shows a significant decrease in flow resistance (i.e., a reduction in pressure drop), and the risk error data shows a convergence trend, it indicates that the current enhancement strategy is effective, and the system will maintain the current weight configuration until the risk is eliminated. If the pressure drop does not improve significantly or even increases, and the risk error continues to diverge, it indicates that the current strategy has failed to effectively suppress blockage or has caused new flow problems. The system will automatically lower the weight coefficient of the chemical protective agent while raising the weight coefficient of physical flushing or operating parameter correction, attempting to switch the protection-dominant mechanism. When the risk error data consistently falls within the preset safe range for multiple consecutive sampling periods, and the pressure drop change rate tends to stabilize, it is determined that the risk has been substantially eliminated. The protection control priority is then reverted to the normal level, and the standard refueling concentration and cycle time are gradually restored.

[0050] This embodiment also provides an inhibitor-coating synergistic anti-clogging optimization control system for critical pipe sections and extreme operating conditions, used to implement the method provided in this embodiment, including:

[0051] The spatial risk assessment module is used to obtain the spatial risk attributes of each spatial sub-region in the target pipeline.

[0052] The time-change identification module is used to identify the time-change status of the current operating environment of the target pipeline;

[0053] The synergy effectiveness assessment module is used to assess the synergistic residual effectiveness of the combination of various protection measures currently used in the target pipeline;

[0054] The priority calculation module is used to calculate the protection and control priority of each spatial sub-region based on spatial risk attributes, temporal abrupt change status, and collaborative residual effectiveness.

[0055] The strategy generation and execution module is used to generate and execute differentiated protection and control strategies for each spatial sub-region based on the protection and control priority. When a time-abrupt state is detected, a temporary enhanced mode of the differentiated protection and control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time-abrupt state ends.

[0056] This embodiment also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method provided in this embodiment.

[0057] This embodiment also provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method provided in this embodiment.

[0058] Example 2

[0059] This embodiment takes a deep-water oil and gas pipeline as an example to comprehensively apply and verify the aforementioned inhibitor-coating synergistic anti-clogging optimization control method for critical pipeline sections and extreme operating conditions. In this scenario, the target pipeline is tens of kilometers long, the transport medium is a hydrate-containing slurry, and the operating environment is complex and variable, including critical pipeline sections with different geometries, and frequently faces extreme operating conditions such as flow stoppage and restart, and sudden drop in temperature.

[0060] Specifically, during the normal operation phase, the system implements differentiated resource allocation for pipelines based on spatial risk attributes. For example... Figure 2 As shown, for elbows, tees, and local temperature drop areas classified as Class I space sub-regions, the system sets them as key protection targets, adopts a high-concentration fluid additive injection strategy, and combines it with a shorter injection cycle and high-frequency online monitoring; while for long-distance ordinary straight pipe sections classified as Class III space sub-regions, the system adopts an economical maintenance strategy, maintaining only the basic concentration of fluid additive supply to avoid resource waste caused by excessive protection.

[0061] When the pipeline encounters a time-varying event, the system's dynamic adaptive capability is activated. For example, in an unplanned restart from a flow interruption, the time-varying event identification module detects the transient process of the flow rate rapidly recovering from zero to the normal delivery value, determining that the current situation is a high-risk time-varying event. At this time, the priority calculation module immediately raises the protection control priority of the Level I spatial sub-region, and the strategy generation and execution module triggers a temporary enhancement mode: increasing the fluid additive injection concentration in the elbow area by 30% from the baseline value, and adjusting the injection cycle from once per hour to once every 15 minutes, to quickly build a supersaturated chemical protection barrier near the wall, resisting the risk of blockage caused by the initial deposition nuclei that may have formed during the quiescent period at the moment of restart. At the same time, the protection strategy for the Level III straight pipe section remains unchanged, avoiding the ineffective diffusion of emergency resources. Once the flow rate stabilizes and the feedback learning module detects that the pressure drop data tends to stabilize and the risk error data falls back to the preset safe range for several consecutive sampling cycles, the system automatically exits the temporary enhancement mode and smoothly reverts to the normal control strategy.

[0062] Throughout the control process, the synergistic effectiveness assessment module continuously calculates the synergistic residual effectiveness of the chemical protective agent and the pipe wall protective coating. When the residual effectiveness of the pipe wall protective coating in a certain Class I space sub-region decreases due to long-term erosion, the multi-parameter weighted attenuation model automatically reduces the synergistic protective effectiveness index score of that region. This prompts the priority calculation module to increase the protective resource weight of that region, compensating for the performance degradation of the physical protective layer by increasing the effective concentration of fluid additives. Conversely, if the coating in a region is in good condition and has sufficient near-wall protection capability, the system will appropriately reduce the chemical protective agent injection intensity to minimize agent consumption while ensuring safety.

[0063] like Figure 4 As shown, after long-term operation of the above-mentioned optimized control strategy, many key indicators of the deep-water oil and gas pipeline have been significantly improved. Compared with the unified control mode across the entire pipeline before optimization, the blockage risk after optimization was reduced by 45%, mainly due to the precise and enhanced protection resources obtained in high-risk areas at critical moments; chemical consumption was reduced by 40%, which stemmed from the avoidance of unnecessary overfilling in low-risk areas under the economical strategy; maintenance costs were reduced by 35%, because the system can intelligently prioritize maintenance windows based on the dynamic changes in synergistic residual effectiveness, allowing limited maintenance resources to be concentrated on sections that truly need treatment; environmental load was reduced by 50%, which directly reflects the comprehensive effectiveness of chemical reduction and emission control; and the synergistic effectiveness was improved by 30%, proving that chemical protection and physical protection achieved a deeper level of coupling and synergistic effect under dynamic regulation. These data fully demonstrate that the technical solution provided by this invention establishes a globally dynamic optimal balance between safety, economy, and environmental friendliness, and has significant industrial application value and promotion prospects.

[0064] The above description represents 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 method for inhibitor-coating synergistic anti-clogging optimization control for critical pipe sections and extreme operating conditions, characterized in that, include: Obtain the spatial risk attributes of each spatial sub-region in the target pipeline; Identify the time-varying state of the current operating environment of the target pipeline; Assess the synergistic residual effectiveness of the various protective measures currently employed on the target pipeline; Based on spatial risk attributes, temporal abrupt changes, and collaborative residual effectiveness, the protection and control priorities of each spatial sub-region are calculated. Based on the protection control priority, differentiated protection control strategies are generated and executed for each spatial sub-region; wherein, when a time change state is identified, a temporary enhanced mode of the differentiated protection control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time change state ends.

2. The method according to claim 1, characterized in that, The step of obtaining the spatial risk attributes of each spatial sub-region in the target pipeline includes: dividing the target pipeline into multiple spatial sub-regions with different spatial risk levels based on the physical topology attributes and historical operation data of the spatial sub-regions; the step of identifying the time-change state of the current operating environment of the target pipeline includes: identifying the time-change state based on the comparison result of the change rate of the real-time operating parameters of the target pipeline and the preset threshold.

3. The method according to claim 2, characterized in that, The physical topology attributes include geometric structural features and heat exchange conditions; the historical operating data includes historical anomaly frequencies; the real-time operating parameters include at least one of temperature, pressure, flow rate, and moisture content; the time-abrupt state includes at least one of the following: temperature change rate exceeding a first preset threshold, pressure fluctuation amplitude exceeding a second preset threshold, flow rate fluctuation amplitude exceeding a third preset threshold, or being in a stop-and-start condition.

4. The method according to claim 1, characterized in that, The assessment of the synergistic residual effectiveness of the combination of multiple protective measures currently used in the target pipeline includes: constructing a multi-parameter weighted attenuation model; based on the multi-parameter weighted attenuation model, integrating the effective concentration of chemical protective agents and the residual effectiveness of physical protective layers in the combination of multiple protective measures, calculating the synergistic protection effectiveness index; and using the synergistic protection effectiveness index as the synergistic residual effectiveness.

5. The method according to claim 4, characterized in that, The input parameters of the multi-parameter weighted attenuation model also include near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters; the chemical protective agent includes fluid additives, and the physical protective layer includes pipe wall protective coatings; The calculation of the synergistic protection effectiveness index includes: calculating the synergistic protection effectiveness index by weighted summation based on effective concentration, residual effectiveness, near-wall protection capability parameters, environmental constraint parameters, and reagent cost constraint parameters.

6. The method according to claim 1, characterized in that, The step of calculating the protection control priority of each spatial sub-region based on the spatial risk attributes, the temporal abrupt change state, and the collaborative residual effectiveness includes: under preset cost constraints and environmental constraints, dynamically allocating the protection resource weights of each spatial sub-region based on the probability of blockage formation, the severity of blockage consequences, and the collaborative residual effectiveness of each spatial sub-region; and determining the protection control priority of each spatial sub-region based on the protection resource weights and the temporal abrupt change state.

7. The method according to claim 6, characterized in that, When a time-abrupt state is detected, a temporary enhanced mode of the differentiated protection control strategy is triggered, and the system automatically reverts to the normal control mode after the time-abrupt state ends. This includes: when a time-abrupt state is detected, increasing the protection control priority of the spatial sub-regions whose spatial risk attributes meet preset high-risk conditions, and triggering a temporary enhanced strategy that increases the local protective agent concentration and shortens the refueling cycle; after executing the differentiated protection control strategy, acquiring pressure drop change data and risk error data before and after execution; dynamically adjusting the protection resource weights based on the pressure drop change data and risk error data, and exiting the temporary enhanced mode when the risk error data falls back to a preset safe range.

8. A suppressor-coating synergistic anti-clogging optimization control system for critical pipe sections and extreme operating conditions, used to implement the method as described in any one of claims 1-7, comprising: The spatial risk assessment module is used to obtain the spatial risk attributes of each spatial sub-region in the target pipeline. The time-change identification module is used to identify the time-change status of the current operating environment of the target pipeline; The synergy effectiveness assessment module is used to assess the synergistic residual effectiveness of the combination of various protection measures currently used in the target pipeline; The priority calculation module is used to calculate the protection and control priority of each spatial sub-region based on spatial risk attributes, temporal abrupt change status, and collaborative residual effectiveness. The strategy generation and execution module is used to generate and execute differentiated protection and control strategies for each spatial sub-region based on the protection and control priority. When a time-abrupt state is detected, a temporary enhanced mode of the differentiated protection and control strategy is triggered, and the strategy automatically reverts to the normal control mode after the time-abrupt state ends.

9. An electronic device, comprising: At least one processor; And a memory communicatively connected to at least one processor; wherein the memory stores instructions executable by at least one processor to enable at least one processor to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method as described in any one of claims 1-7.

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