Intelligent monitoring optimization method and system for pre-shrinking-vacuum exhaust system

Abstract

The application discloses an intelligent monitoring optimization method and system for a pre-shrinking-vacuum tail gas system, mainly relates to the field of pre-shrinking-vacuum tail gas monitoring, and aims to solve the problem that the pre-shrinking-vacuum tail gas system in the prior art cannot accurately identify the gradual accumulation process of particulate matters, specifically includes a gradual plugging identification unit, a pipeline vibration leakage dynamic detection unit and a treatment efficiency evaluation unit. The application builds a closed-loop management and control system of "monitoring-identification-intervention-evaluation" through the cooperation of the units, greatly improves the operation stability, energy saving property and treatment efficiency of the pre-shrinking-vacuum tail gas system through multi-dimensional parameter monitoring, intelligent identification and accurate intervention, reduces operation and maintenance costs and safety hazards, and adapts to the development demand of industrial production scale and intelligence.

Description

Technical Field

[0001] This invention relates to the field of pre-vacuum exhaust gas monitoring, specifically to an intelligent monitoring and optimization method and system for pre-vacuum exhaust gas systems. Background Technology

[0002] In many industrial production fields such as chemical, textile, and pharmaceutical industries, pre-shrinking is one of the core production links. The exhaust gas generated during the pre-shrinking process needs to be efficiently extracted and treated through a vacuum exhaust gas system to ensure production continuity, product quality, and environmental compliance.

[0003] However, common pre-compressed vacuum exhaust gas systems cannot identify the gradual accumulation process of particulate matter. They can only passively deal with it after the pressure difference exceeds the standard. They do not intervene in time during the slight blockage stage, which leads to the gradual increase of pipeline resistance. At the same time, it is difficult to accurately identify the pipeline resonance node and operation type, distinguish between resonance interference and the pipeline's own operation fluctuations, and quickly predict the risk of resonance leakage. After the leakage problem occurs, targeted control measures should be taken in a timely manner.

[0004] To address the aforementioned technical shortcomings, we propose an intelligent monitoring and optimization method and system for pre-compressed vacuum exhaust gas systems. This method aims to address the core pain points of the inability to progressively identify pipeline blockages and the low efficiency of leak detection, thereby achieving intelligent and precise control of the entire pre-compressed vacuum exhaust gas system process. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by proposing an intelligent monitoring and optimization method and system for pre-compressed-vacuum exhaust gas systems.

[0006] The objective of this invention can be achieved through the following technical solution: an intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system, wherein the system is equipped with: The progressive blockage identification unit performs progressive blockage identification on the pre-compressed vacuum exhaust gas system, which facilitates phased monitoring. The operation phase is divided into a clear phase and a blockage phase, and phased data collection and analysis are performed to complete progressive blockage identification and execute control. When the system detects that the permeable stage has turned into the blocked stage, if there is no pressure difference fluctuation, the pipeline vibration leakage dynamic detection unit performs dynamic vibration leakage detection, extracts vibration characteristic parameters and operating characteristic parameters, constructs a vibration safety identification model, performs dynamic detection based on model data analysis, and makes control decisions. The effective evaluation unit is used to evaluate the effectiveness of pre-vacuum exhaust gas treatment.

[0007] Furthermore, the operational phase division process is as follows: The system collects the pressure difference between the inlet and outlet of the exhaust gas pipeline in real time and divides the operation into a permeable stage and a blocked stage based on the pressure difference. That is, if the pressure difference between the inlet and outlet exceeds the set pressure difference threshold, the operation stage is marked as a blocked stage; otherwise, if the pressure difference between the inlet and outlet does not exceed the set pressure difference threshold, the operation stage is marked as a permeable stage.

[0008] Furthermore, the phased data collection and analysis process is as follows: When the current operation phase is the transparent phase, the exhaust gas velocity at each moment under the same transmission power is collected and the exhaust gas velocity fluctuation is recorded. Based on the state analysis of the exhaust gas velocity fluctuation, it is set as occasional interference, stable velocity without fluctuation, and interference of decreased transparency.

[0009] Furthermore, occasional interference is recorded. If the frequency of occasional interference increases, or the flow rate after fluctuation and return to a stable state is in a downward trend, the occasional interference is transformed into continuous interference, generating an irregular interference signal and uploading it to the system. If the frequency of occasional interference does not increase, and the flow rate after fluctuation and return to a stable state is not in a downward trend, the fluctuation frequency of occasional interference continues to be recorded and uploaded to the system. After receiving irregular interference signals, the system monitors the inlet and outlet of the pre-compressed vacuum exhaust gas system, extracts the moment of flow velocity fluctuation and traces the source of the fluctuation interference. If there is repeated alternation of blockage and permeability at the inlet and outlet, a short-term low-pressure pulse backflushing is set, and the current setting is a temporary setting.

[0010] Furthermore, the permeability drop interference is recorded, the inlet and outlet pressure differences corresponding to each adjacent time point are identified, the pressure difference growth rate is obtained based on the time series data, the time points of the rising phase of the pressure difference growth rate are extracted, and the flow velocity decrease rate at the corresponding time points is extracted simultaneously. Trend analysis is then performed on the pressure difference growth rate and the flow velocity decrease rate. If the rate of increase in differential pressure and the rate of decrease in flow velocity both show an increasing trend, a bidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a standard-duration pressure-stabilized backflushing and simultaneously issues a blockage warning command to the equipment control terminal. If only one of the rate of increase in differential pressure and the rate of decrease in flow velocity shows an increasing trend, a unidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a short-duration low-pressure pulse backflushing and increases the currently temporarily set cycle frequency.

[0011] Furthermore, during the blockage phase, the exhaust gas flow rate at each moment is collected when the inlet and outlet pressure difference increases. If the exhaust gas flow rate drops to half of the initial delivery volume at the current time, the system will execute a shutdown cleaning warning. If the exhaust gas flow rate does not drop to half of the initial delivery volume at the current time, but is in a continuous decreasing state, the system will execute extended-duration pressure stabilization backflushing, simultaneously shorten the backflushing interval, and execute a shutdown cleaning warning while still in a decreasing state.

[0012] Furthermore, the vibration characteristic parameters are: the vibration frequency and amplitude of each node in the pipeline during the transition phase, and the operating characteristic parameters are: real-time data of pipeline airflow velocity and equipment operating speed.

[0013] Furthermore, the vibration safety identification model is constructed as follows: The fluctuation times of vibration frequency at each node of the pipeline are collected. Based on the changes in amplitude corresponding to the intervals and shortening phases of vibration frequency fluctuation, resonant nodes and stable nodes are obtained. Through node type analysis, the current pipeline operation is set to resonant interference operation or stable operation. Based on the operating characteristic parameters, according to the continuous fluctuation of pipeline airflow velocity and equipment operating speed fluctuation, the current operation is marked as pipeline-affected operation, pipeline stable operation, regulation interference operation, and regulation ineffective operation.

[0014] Furthermore, the operating type of all pipelines is identified. If the resonant interference operation overlaps with the pipeline's influence operation, a resonant leakage risk signal is generated and uploaded to the system. Upon receiving the signal, the system performs synchronous vibration leakage control. If the resonant interference operation overlaps with the pipeline's stable operation, a vibration interference-free signal is generated and uploaded to the system. If the resonant interference operation overlaps with the regulation interference operation, a vibration regulation-independent signal is generated and uploaded to the system. If the resonant interference operation overlaps with the regulation-ineffective operation, a vibration regulation interference signal is generated and uploaded to the system.

[0015] Furthermore, the specific operational process for processing effective evaluation units is as follows: Based on the system operation phase, the pre-shrinking tank discharge load is collected, specifically the real-time flow rate of the tail gas transported downstream from the pre-shrinking tank. At the same time, the discharge tail gas temperature and the internal temperature of the pipeline are extracted, and the temperature rise value is obtained by summing the temperature rise values. Monitor the fluctuation trends of the pre-shrinking reactor discharge load and temperature rise, and generate signals for fixed extraction capacity, increased extraction capacity, and decreased extraction capacity based on the fluctuation trends. These signals are then uploaded to the system. The quantitative parameter for extraction capacity is the extraction speed.

[0016] The present invention also proposes an intelligent monitoring and optimization method for a pre-compressed-vacuum exhaust gas system, comprising the following steps: Progressive blockage identification is used to progressively identify blockages in the pre-vacuum exhaust gas system, which facilitates phased monitoring. The operation phase is divided into a clear phase and a blockage phase, and phased data collection and analysis are performed to complete progressive blockage identification and execute control. Dynamic detection of pipeline vibration leakage: When the system detects the transition from the permeable stage to the blocked stage, if there is no pressure difference fluctuation, dynamic detection of vibration leakage is performed, vibration characteristic parameters and operating characteristic parameters are extracted, a vibration safety identification model is constructed, dynamic detection is performed based on model data analysis, and control decisions are made. Effectiveness assessment of the pre-vacuum exhaust gas treatment was conducted.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. By progressively identifying and intervening in blockages, early detection and treatment of blockages can be achieved, avoiding the problems of vacuum pumping power reduction and tail gas treatment efficiency decline caused by the aggravation of minor blockages, and ensuring the continuity and stability of pre-compression process production; by distinguishing different types of flow velocity disturbances and pressure difference-flow velocity coordinated change trends, targeted and differentiated backflushing measures can be implemented, avoiding the waste of gas source and disturbance of vacuum stability caused by excessively frequent backflushing, and solving the problem of incomplete blockage treatment caused by insufficient backflushing force; by setting reasonable shutdown cleaning thresholds, progressive intervention in the blockage stage can be achieved, reducing unnecessary shutdowns, while providing operation and maintenance personnel with accurate blockage warnings and treatment guidance, and improving the level of intelligent management and control of the system.

[0018] 2. By constructing a vibration safety identification model, dynamic monitoring and accurate prediction of pipeline vibration leakage can be achieved, replacing the traditional manual periodic inspection mode. This significantly improves the efficiency and timeliness of leakage detection and avoids environmental and safety hazards caused by exhaust gas leakage. By accurately identifying resonance nodes and pipeline operation types, different vibration interference scenarios can be distinguished, and targeted intervention measures such as synchronous control of vibration leakage and staggered parameter adjustment can be implemented to reduce the risk of resonance leakage and ensure the stability of pipeline operation. By distributing the collection of vibration and operation parameters of each node in the pipeline, vibration monitoring of the entire pipeline network can be achieved, avoiding the omission of local leakage hazards and improving the overall safety management level of the system.

[0019] 3. By monitoring the fluctuation trends of the pre-shrinking reactor discharge load and temperature rise in real time, the adaptability of vacuum extraction capacity to the current production scenario can be accurately assessed, avoiding ineffective vacuum extraction, ensuring the stability of exhaust gas treatment efficiency, and meeting environmental compliance requirements. By generating differentiated signals such as fixed, increased, and decreased extraction capacity, precise guidance is provided for the regulation of the vacuum system, realizing dynamic adaptation of vacuum extraction capacity, avoiding energy waste, and solving the problem of incomplete exhaust gas treatment caused by insufficient extraction capacity. By quantitatively assessing the effectiveness of exhaust gas treatment, intelligent control of the exhaust gas treatment process is achieved, improving the overall operating efficiency of the system. Attached Figure Description

[0020] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0021] Figure 1 This is a system principle block diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] Please see Figure 1 As shown, this is an intelligent monitoring and optimization system for pre-compressed vacuum exhaust gas systems. The system includes a progressive blockage identification unit to progressively identify blockages in the pre-compressed vacuum exhaust gas system, facilitating phased monitoring to avoid the risk of blockage. This addresses the limitations of traditional technologies, which only require manual cleaning or periodic backflushing after the pipeline pressure differential exceeds the limit. These technologies cannot identify the progressive accumulation of particulate matter, and failure to address minor blockages promptly can gradually increase pipeline resistance, leading to decreased vacuum pumping force and reduced exhaust gas treatment efficiency. Excessive backflushing wastes gas resources and disrupts the system's vacuum stability. Furthermore, there is no mechanism for predicting and precisely addressing the degree of blockage. The pressure difference between the inlet and outlet of the exhaust gas pipeline is collected in real time. Based on the pressure difference, the operation stage is divided into a clear stage and a blocked stage. That is, if the pressure difference between the inlet and outlet exceeds the set pressure difference threshold, the operation stage is marked as a blocked stage. Conversely, if the pressure difference between the inlet and outlet does not exceed the set pressure difference threshold, the operation stage is marked as a clear stage. The pressure difference threshold is a threshold parameter that is manually set based on the current exhaust gas pipeline delivery specifications and actual operating conditions. When the current operating phase is the transparent phase, the exhaust gas velocity is collected at each moment under the same delivery power, and the exhaust gas velocity fluctuation is recorded. If the exhaust gas velocity fluctuation trajectory is in a reciprocating oscillation, it is inferred that the current exhaust gas delivery velocity fluctuation is an occasional disturbance; if the exhaust gas velocity fluctuation trajectory is in a horizontal state, it is inferred that the current exhaust gas delivery velocity is stable without fluctuation; if the exhaust gas velocity fluctuation trajectory is in a continuously decreasing state, it is inferred that the current exhaust gas delivery velocity fluctuation is aggravated, and it is calibrated as a transparent decreasing disturbance. Record occasional interferences. If the frequency of occasional interferences increases, or if the flow rate stabilizes after fluctuations and is trending downwards, then the occasional interferences are converted into continuous interferences, generating irregular interference signals and uploading them to the system. If the frequency of occasional interferences does not increase, and the flow rate stabilizes after fluctuations and is not trending downwards, then continue to record the frequency of occasional interferences and upload them to the system. After receiving irregular interference signals, the system monitors the inlet and outlet of the pre-vacuum exhaust gas system, extracts the moment of flow velocity fluctuation and traces the source of the fluctuation interference. If there is a situation of repeated alternation between blockage and permeability at the inlet and outlet, a short-term low-pressure pulse backflushing is set. The current setting is temporary, and continuous monitoring is carried out after backflushing. If there is no blockage at the inlet and outlet, the exhaust gas delivery is controlled to avoid situations such as pipeline rupture. The permeability drop disturbance is recorded, the inlet and outlet pressure differences corresponding to each adjacent time point are identified, the pressure difference growth rate is obtained based on the time series data, the time points of the rising phase of the pressure difference growth rate are extracted, and the flow velocity decrease rate at the corresponding time points is extracted simultaneously. Furthermore, the trends of the pressure difference growth rate and the flow velocity decrease rate are analyzed. If the rate of increase in differential pressure and the rate of decrease in flow velocity both show an increasing trend, a bidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a standard-duration pressure-stabilized backflushing and simultaneously issues a blockage warning command to the equipment control terminal. If only one of the rate of increase in differential pressure and the rate of decrease in flow velocity shows an increasing trend, a unidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a short-duration low-pressure pulse backflushing and increases the currently temporarily set cycle frequency. When the system enters the blockage stage, a blockage warning command is generated, and the system cannot control the standard duration of pressure stabilization backflushing. The system collects the exhaust gas flow rate at each moment when the inlet and outlet pressure difference increases. If the exhaust gas flow rate drops to half of the initial delivery volume at the current time, the system will execute a shutdown cleaning warning. If the exhaust gas flow rate does not drop to half of the initial delivery volume at the current time, but is in a continuous decreasing state, the system will execute an extended duration of pressure stabilization backflushing, simultaneously shorten the backflushing interval, and execute a shutdown cleaning warning while the flow rate is still decreasing. When the system detects that the permeable stage has turned into the blocked stage, if there is no pressure difference fluctuation, the system’s built-in pipeline vibration and leakage dynamic detection unit performs dynamic detection of vibration and leakage. This is mainly for situations where there is no way to avoid pipeline vibration and leakage interference when there are abnormalities in the exhaust gas delivery. Relying solely on manual periodic inspections to check for leaks results in low maintenance and control efficiency when delivery is abnormal. Set the current transition phase, collect the vibration frequency and amplitude of each node in the distributed acquisition pipeline and mark them as vibration characteristic parameters, collect real-time data of airflow velocity and equipment operating speed in the distributed acquisition pipeline and mark them as operating characteristic parameters; A vibration safety identification model is constructed, and the fluctuation time of vibration frequency at each node of the pipeline is collected. If the interval between vibration frequency fluctuations continues to shorten, or the amplitude corresponding to the shortening phase continues to increase, the current pipeline node is marked as a resonant node. If the interval between vibration frequency fluctuations does not continue to shorten, and the amplitude corresponding to the shortening phase does not increase, the current pipeline node is marked as a stable node. Identify all node types in the pipeline network. When the number of stable nodes around a resonant node is decreasing, set the current pipeline to operate under resonant interference. When the number of resonant nodes is fixed and the vibration frequency is lower than the set frequency threshold, set the current pipeline to operate under stable conditions. Based on the operating characteristic parameters, when the airflow velocity in the pipeline fluctuates continuously and the equipment operating speed is constant, the current operation is marked as pipeline-affected operation; when the airflow velocity in the pipeline does not fluctuate and the equipment operating speed is constant, the current operation is marked as pipeline stable operation; when the airflow velocity in the pipeline fluctuates continuously and the equipment operating speed fluctuates continuously, the current operation is marked as regulation-interference operation; when the airflow velocity in the pipeline is constant and the equipment operating speed fluctuates continuously, the current operation is marked as regulation-ineffective operation. The system identifies the operating type of all pipelines. If resonance interference operation overlaps with pipeline-affected operation, a resonance leakage risk signal is generated and uploaded to the system. Upon receiving the signal, the system performs synchronous vibration leakage control. If resonance interference operation overlaps with stable pipeline operation, a vibration interference-free signal is generated and uploaded to the system. If resonance interference operation overlaps with regulation interference operation, a vibration regulation-independent signal is generated and uploaded to the system. If resonance interference operation overlaps with ineffective regulation operation, a vibration regulation interference signal is generated and uploaded to the system. Upon receiving the signal, the system staggers the resonance occurrence time with the parameter adjustment time to avoid interference. During the pre-vacuum exhaust gas treatment stage, this system has a built-in effective evaluation unit to evaluate the effectiveness of the pre-vacuum exhaust gas treatment, avoiding ineffective vacuum extraction, which would reduce the exhaust gas treatment efficiency and cause abnormal exhaust gas treatment efficiency. Based on the system operation phase, the pre-shrinking tank discharge load is collected, specifically the real-time flow rate of the tail gas transported downstream from the pre-shrinking tank. At the same time, the discharge tail gas temperature and the internal temperature of the pipeline are extracted, and the temperature rise value is obtained by summing the temperature rise values. The system monitors the fluctuation trends of the pre-shrinking reactor discharge load and the temperature rise. If the discharge load and temperature rise are stable, the current vacuuming capacity is fixed and the system adapts to the current vacuum extraction scenario, generating a fixed extraction capacity signal and uploading it to the system. If either the discharge load or the temperature rise is trending upwards, the current fixed vacuuming capacity cannot adapt to the current vacuum extraction scenario, generating an increased extraction capacity signal and uploading it to the system. If either the discharge load or the temperature rise is trending downwards, the current fixed vacuuming capacity cannot adapt to the current vacuum extraction scenario, generating a decreased extraction capacity signal and uploading it to the system. The quantitative parameter for extraction capacity is the extraction speed.

[0025] The present invention also proposes an intelligent monitoring and optimization method for a pre-compressed-vacuum exhaust gas system, comprising the following steps: Progressive blockage identification is used to progressively identify blockages in the pre-vacuum exhaust gas system, which facilitates phased monitoring. The operation phase is divided into a clear phase and a blockage phase, and phased data collection and analysis are performed to complete progressive blockage identification and execute control. Dynamic detection of pipeline vibration leakage: When the system detects the transition from the permeable stage to the blocked stage, if there is no pressure difference fluctuation, dynamic detection of vibration leakage is performed, vibration characteristic parameters and operating characteristic parameters are extracted, a vibration safety identification model is constructed, dynamic detection is performed based on model data analysis, and control decisions are made. Effectiveness assessment of the pre-vacuum exhaust gas treatment was conducted.

[0026] In summary, this significantly improves the operational stability and exhaust gas treatment efficiency of the pre-compressed vacuum exhaust gas system, reduces unnecessary downtime and production losses, and achieves energy conservation and consumption reduction goals by reducing gas waste, energy consumption and manual maintenance costs through differentiated and precise intervention measures. Furthermore, dynamic monitoring and risk prediction help avoid safety and environmental hazards such as pipeline leaks and exhaust gas leaks, ensuring production safety and environmental compliance.

[0027] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system, characterized in that, The system is configured with: The progressive blockage identification unit performs progressive blockage identification on the pre-compressed vacuum exhaust gas system, which facilitates phased monitoring. The operation phase is divided into a permeable phase and a blockage phase, and phased data collection and analysis are performed to complete progressive blockage identification and execute control. When the system detects that the permeable stage has turned into the blocked stage, if there is no pressure difference fluctuation, the pipeline vibration leakage dynamic detection unit performs dynamic vibration leakage detection, extracts vibration characteristic parameters and operating characteristic parameters, constructs a vibration safety identification model, performs dynamic detection based on the model data analysis results, and makes control decisions. The effective evaluation unit is used to evaluate the effectiveness of pre-vacuum exhaust gas treatment.

2. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 1, characterized in that, The process of dividing the operation phases is as follows: The system collects the pressure difference between the inlet and outlet of the exhaust gas pipeline in real time and divides the operation into a permeable stage and a blocked stage based on the pressure difference. That is, if the pressure difference between the inlet and outlet exceeds the set pressure difference threshold, the operation stage is marked as a blocked stage; otherwise, if the pressure difference between the inlet and outlet does not exceed the set pressure difference threshold, the operation stage is marked as a permeable stage.

3. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 2, characterized in that, The phased data acquisition and analysis process is as follows: When the current operating phase is the transparent phase, the exhaust gas velocity at each moment under the same transmission power is collected and the exhaust gas velocity fluctuation is recorded. Based on the state analysis of the exhaust gas velocity fluctuation, the state is set as occasional interference, stable flow velocity without fluctuation, and decreased transparency interference.

4. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 3, characterized in that, Record occasional interferences. If the frequency of occasional interferences increases, or if the flow rate stabilizes after fluctuations and is trending downwards, then the occasional interferences are converted into continuous interferences, generating irregular interference signals and uploading them to the system. If the frequency of occasional interferences does not increase, and the flow rate stabilizes after fluctuations and is not trending downwards, then continue to record the frequency of occasional interferences and upload them to the system. After receiving irregular interference signals, the system monitors the inlet and outlet of the pre-compressed vacuum exhaust gas system, extracts the moment of flow velocity fluctuation and traces the source of the fluctuation interference. If there is repeated alternation of blockage and permeability at the inlet and outlet, a short-term low-pressure pulse backflushing is set, and the current setting is a temporary setting.

5. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 4, characterized in that, The permeability drop disturbance is recorded, the inlet and outlet pressure differences corresponding to each adjacent time point are identified, the pressure difference growth rate is obtained based on the time series data, the time points of the rising phase of the pressure difference growth rate are extracted, and the flow velocity decrease rate at the corresponding time points is extracted simultaneously. Furthermore, the trends of the pressure difference growth rate and the flow velocity decrease rate are analyzed. If the rate of increase in differential pressure and the rate of decrease in flow velocity both show an increasing trend, a bidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a standard-duration pressure-stabilized backflushing and simultaneously issues a blockage warning command to the equipment control terminal. If only one of the rate of increase in differential pressure and the rate of decrease in flow velocity shows an increasing trend, a unidirectional increasing interference signal is generated and uploaded to the system. Upon receiving the signal, the system executes a short-duration low-pressure pulse backflushing and increases the currently temporarily set cycle frequency.

6. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 5, characterized in that, When entering the blockage stage, the exhaust gas flow rate at each moment is collected when the pressure difference between the inlet and outlet increases. If the exhaust gas flow rate drops to half of the initial delivery volume at the current time, the system will execute a shutdown cleaning warning. If the exhaust gas flow rate does not drop to half of the initial delivery volume at the current time, but is in a continuous decreasing state, the system will execute extended-duration pressure stabilization backflushing, simultaneously shorten the backflushing interval, and execute a shutdown cleaning warning while still in a decreasing state.

7. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 1, characterized in that, The vibration characteristic parameters are: the vibration frequency and amplitude of each node in the pipeline during the transition phase; the operating characteristic parameters are: real-time data of pipeline airflow velocity and equipment operating speed. The process of constructing the vibration safety identification model is as follows: The fluctuation times of vibration frequency at each node of the pipeline are collected. Based on the changes in amplitude corresponding to the intervals and shortening phases of vibration frequency fluctuation, resonant nodes and stable nodes are obtained. Through node type analysis, the current pipeline operation is set to resonant interference operation or stable operation. Based on the operating characteristic parameters, according to the continuous fluctuation of pipeline airflow velocity and equipment operating speed fluctuation, the current operation is marked as pipeline-affected operation, pipeline stable operation, regulation interference operation, and regulation ineffective operation.

8. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 7, characterized in that, The system identifies the operating type of all pipelines. If the operation of the pipeline overlaps with the operation of the pipeline affected by resonance interference, a resonance leakage risk signal is generated and uploaded to the system. After receiving the signal, the system performs synchronous control of vibration leakage. If the operation of the pipeline overlaps with the stable operation of the pipeline, a vibration non-interference signal is generated and uploaded to the system. If the resonance interference operation overlaps with the control interference operation, a vibration control-irrelevant signal will be generated and uploaded to the system; If the resonance interference operation overlaps with the ineffective regulation operation, a vibration regulation interference signal will be generated and uploaded to the system.

9. The intelligent monitoring and optimization system for a pre-compressed-vacuum exhaust gas system according to claim 8, characterized in that, The specific operational process for processing effective evaluation units is as follows: Based on the system operation phase, the pre-shrinking tank discharge load is collected, specifically the real-time flow rate of the tail gas transported downstream from the pre-shrinking tank. At the same time, the discharge tail gas temperature and the internal temperature of the pipeline are extracted, and the temperature rise value is obtained by summing the temperature rise values. Monitor the fluctuation trends of the pre-shrinking reactor discharge load and temperature rise, and generate signals for fixed extraction capacity, increased extraction capacity, and decreased extraction capacity based on the fluctuation trends. These signals are then uploaded to the system, and the quantitative parameter for extraction capacity is the extraction speed.

10. A smart monitoring and optimization method for a pre-compressed-vacuum exhaust gas system, characterized in that, The intelligent monitoring and optimization system for pre-compression-vacuum exhaust gas systems as described in any one of claims 1-9.

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