Segmented mixed gas deoxidation self-adaptive adjusting method and device based on multiple channels

Abstract

The invention discloses a multi-channel sectional type mixed gas deoxidation self-adaptive adjustment method and device, and relates to the technical field of mixed gas deoxidation adjustment, and the method comprises the following steps: obtaining first data of each section in a multi-channel sectional type mixed gas reaction system, and constructing a boundary coupling map of adjacent adjustment sections; based on the boundary coupling atlas, boundary coupling response features are extracted, and an inter-segment disturbance propagation function is constructed; according to the disturbance propagation function, a coupling sensitive section is identified, and a buffer control region is dynamically delimited; based on the disturbance propagation function prediction result and the configuration of the buffer control area, executing a synchronous compensation adjustment operation on the buffer control area; and based on the deviation between the adjusted system state and the predicted response, updating the disturbance propagation function and the boundary map to realize adaptive boundary decoupling control. According to the method, by constructing the inter-segment disturbance propagation function and combining the boundary coupling map, the response influence of the adjustment operation on the adjacent segments can be accurately quantified, the coupling sensitive boundary is identified, and the buffer control region is dynamically delimited.

Description

Technical Field

[0001] This invention relates to the field of mixed gas deoxygenation regulation technology, and more specifically, to a multi-channel segmented mixed gas deoxygenation adaptive regulation method and apparatus. Background Technology

[0002] Gas deoxygenation reactions are widely used in industrial applications such as gas purification, catalytic reactions, and material synthesis. Particularly in multi-channel segmented reaction systems, to achieve efficient deoxygenation and precise control, the reaction pipeline is typically divided into multiple series or parallel sections, and multi-point coordinated regulation is achieved by combining temperature control, flow regulation, and concentration feedback. However, with the increasing complexity of reaction processes and the expansion of structural scale, traditional regulation methods face numerous challenges.

[0003] In multi-segment structures, there are clear boundaries for heat exchange and gas mass transfer between segments. Adjustment operations in a single segment often cause inter-segment coupling disturbances, leading to nonlinear changes in the reaction states of adjacent segments and even instability in the overall system. Most existing control strategies are based on local feedback or fixed adjustment templates, which are insufficient to cope with the dynamic uncertainties caused by such coupling disturbances. They also lack the ability to model and decouple boundary propagation mechanisms, resulting in severely limited adjustment accuracy and system stability.

[0004] The aforementioned disclosed technical solutions suffer from at least the following technical problems: In multi-channel segmented mixed gas deoxygenation systems, significant boundary coupling occurs between the regulating sections during heat exchange, gas flow, and reaction product migration. Individual regulating actions often influence the temperature gradient and reaction rate of adjacent sections through boundary propagation, causing what was originally local regulation to evolve into systemic disturbances, thus forming unstable or uncontrollable states in the boundary regions. Existing regulation strategies are typically based on local feedback mechanisms, lacking modeling and identification of the propagation paths of inter-segment coupling disturbances, making it difficult to actively avoid and dynamically decouple boundary effects.

[0005] To address the above problems, this invention proposes a solution. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a multi-channel segmented adaptive regulation method and apparatus for deoxygenation of mixed gas. By constructing inter-segment disturbance propagation functions and boundary coupling maps, coupling-sensitive regions are identified and buffer control areas are dynamically delineated. Synchronous compensation regulation is performed, and the propagation path is adaptively updated based on feedback deviation. This achieves path-based control of regulation disturbances and isolation of coupling risks, thereby solving the technical problems of difficulty in suppressing boundary cross-interference, lag in identifying unstable reaction regions, and lack of adaptive system response in existing multi-segment regulation processes.

[0007] To achieve the above objectives, the present invention provides the following technical solution: The adaptive regulation method for deoxygenation of mixed gas based on a multi-channel segmented system includes the following steps: acquiring the first data of each segment in the multi-channel segmented mixed gas reaction system and constructing the boundary coupling map of adjacent regulation segments; the first data includes temperature, pressure, deoxygenation product concentration, and gas flow rate; extracting boundary coupling response features based on the boundary coupling map and constructing an inter-segment disturbance propagation function; identifying coupling-sensitive segments according to the disturbance propagation function and dynamically delineating a buffer control zone; performing synchronous compensation regulation on the buffer control zone based on the disturbance propagation function prediction results and the buffer control zone configuration; updating the disturbance propagation function and boundary map based on the deviation between the regulated system state and the predicted response to achieve adaptive boundary decoupling control.

[0008] In a preferred embodiment, the step of acquiring the first data of each segment in the multi-channel segmented mixed gas reaction system and constructing the boundary coupling map of adjacent regulating segments specifically involves: applying different single disturbance commands sequentially to multiple target regulating segments, recording the dynamic response sequence of the first data of each segment before and after the disturbance; based on the dynamic response sequence, extracting the response amplitude, rate of change, and initial delay characteristics of each regulating segment under the disturbance, constructing a disturbance response sample set with the disturbance segment as the input node and the indirect regulating segment as the output node, and labeling the disturbance type, propagation delay, and response intensity in each sample chain; and training a causal inference graph model based on the disturbance response sample set to infer the implicit coupling relationship between segments from the system response behavior induced by the regulating disturbance, thereby obtaining the boundary coupling map.

[0009] In a preferred embodiment, the step of training a causal inference graph model based on a set of disturbance response samples to infer the implicit coupling relationship between segments from the system response behavior induced by the disturbance specifically involves: based on the set of disturbance response samples, when training the causal inference graph model, calculating the causal association strength between any two segments and determining the association direction for the response characteristics corresponding to each disturbance type in the sample set; based on the causal association strength and association direction, identifying the inter-segment coupling paths with response dependencies in the graph structure using the causal graph inference method.

[0010] In a preferred embodiment, the steps of extracting boundary coupling response features and constructing an inter-segment perturbation propagation function based on the boundary coupling map are as follows: Based on the association direction between each adjustment segment and adjacent segments in the boundary coupling map, extract the perturbation input sequence and boundary response output sequence between each pair of adjacent segments to construct a segment pair response sample set; perform feature compression on the segment pair response sample set to extract the amplitude gain, response delay, hysteresis integral, and perturbation type label in the perturbation-response correspondence to construct a coupled response vector; based on the coupled response vector, establish an initial propagation function model driven by the perturbation input and outputting the boundary response; independently train and fit the initial propagation function model among multiple segment pairs to form the final inter-segment perturbation propagation function.

[0011] In a preferred embodiment, the step of identifying coupled sensitive segments and dynamically delineating buffer control areas based on the disturbance propagation function specifically involves: calculating the cumulative impact intensity index of each adjustment segment on the disturbances of its adjacent segments based on the predicted response amplitude and propagation delay of the inter-segment disturbance propagation function; selecting adjustment segments with larger cumulative impact intensity according to a preset impact intensity threshold to form a buffer candidate set; and dynamically generating the corresponding buffer control area based on the buffer candidate set combined with the geographical location of the coupled sensitive segments and the system operating status.

[0012] In a preferred embodiment, the dynamic delineation of the buffer control area further includes setting the adjustment priority and compensation constraint rules of the buffer control area, specifically: based on the inter-segment disturbance propagation function, extracting the disturbance response amplitude, propagation delay, and frequency response characteristics of each adjustment segment to adjacent segments within the buffer control area, and constructing a disturbance influence vector for the adjustment segments; based on the disturbance influence vector and system operating status indicators, quantifying the adjustment sensitivity and coordinated adjustment capability of each adjustment segment, and constructing an adjustment segment priority ranking matrix; dynamically setting the adjustment execution sequence of the buffer control area according to the adjustment segment priority ranking result and the positional relationship of the coupled sensitive area; and constructing a set of compensation constraint rules within the buffer control area based on compensation constraint conditions. By combining the aforementioned adjustment execution sequence with the compensation constraint rule set, control instructions for the buffer control area are generated.

[0013] In a preferred embodiment, the step of performing synchronous compensation adjustment operations on the buffer control area based on the disturbance propagation function prediction results and the buffer control area configuration specifically involves: extracting the disturbance impact area and impact time point of the current adjustment operation in space and time based on the disturbance propagation function prediction results, forming an adjustment prediction mapping matrix; generating an adjustment capability evaluation matrix based on the adjustment priority and compensation response rules of each segment within the buffer control area, combined with the real-time adjustment margin and execution delay of each adjustment unit; constructing a matching model between disturbance response intensity and adjustment capability based on the adjustment prediction mapping matrix and the adjustment capability evaluation matrix, determining the start time and amplitude distribution of the adjustment action on the time axis, and obtaining an adjustment synchronization schedule; initiating multiple synchronous compensation operations within the buffer control area according to the timing and spatial location in the adjustment synchronization schedule; recording the feedback value after compensation for each response segment, and updating the adjustment efficiency weight of the corresponding segment in the adjustment capability evaluation matrix.

[0014] In a preferred embodiment, updating the disturbance propagation function and boundary map based on the deviation between the adjusted system state and the predicted response specifically involves: comparing the system state data after adjustment with the predicted disturbance response data, extracting the residual sequence, and identifying abnormal drift points and attenuation offset trends in the propagation mode as key dynamic features for disturbance propagation correction; constructing a disturbance propagation correction factor group based on the key dynamic features, including a propagation gain adjustment coefficient, a response delay offset factor, and a reflection link strengthening factor, for updating the original disturbance propagation function segment by segment; mapping the corrected propagation function onto the original boundary coupling map structure, re-evaluating the correlation strength of the coupling boundary, extracting the effective adjustment boundary, redundant boundary, and potential conflict coupling region, and generating the latest boundary decoupling map; dynamically adjusting the control amplitude and adjustment priority based on the updated boundary map, the controllable margin of the combined adjustment segment, and the response timing of the target buffer segment, outputting a decoupling control strategy with boundary dynamic adaptability, thereby realizing dynamic reconstruction of the control path and conflict avoidance.

[0015] The multi-channel segmented mixed gas deoxygenation adaptive control device includes the following modules: a boundary coupling map construction module, used to acquire the first data of each segment in the multi-channel segmented mixed gas reaction system and construct the boundary coupling map of adjacent control segments; the first data includes temperature, pressure, deoxygenation product concentration, and gas flow rate; a response extraction and propagation modeling module, used to extract boundary coupling response features based on the boundary coupling map and construct the inter-segment disturbance propagation function; a buffer zone delineation module, used to identify coupling sensitive segments according to the disturbance propagation function and dynamically delineate the buffer control area; a synchronous control and disturbance compensation module, used to perform synchronous compensation control operation on the buffer control area based on the disturbance propagation function prediction result and the buffer control area configuration; and a feedback correction module, used to update the disturbance propagation function and boundary map based on the deviation between the adjusted system state and the predicted response, to achieve adaptive boundary decoupling control.

[0016] The technical effects and advantages of this invention based on a multi-channel segmented mixed gas deoxygenation adaptive regulation method and device are as follows: 1. This invention, by constructing an inter-segment disturbance propagation function and combining it with boundary coupling maps, achieves for the first time path-based modeling and intensity prediction of regulation disturbances in a multi-channel segmented response system. It can accurately quantify the impact of regulation operations on the responses of adjacent segments, identify coupling-sensitive boundaries, and dynamically delineate buffer control zones. Furthermore, a synchronous compensation mechanism based on matching response timing with regulation capability is designed to ensure that disturbance control dissipates within a locally closed path, thereby achieving effective buffering of cross-segment disturbances and isolation of coupling risks.

[0017] 2. This invention dynamically identifies response offset characteristics and constructs a propagation correction factor set based on the residual sequence of disturbance propagation prediction and system state, thereby achieving progressive iterative updates to the disturbance propagation function and boundary map. Combined with the feedback results after adjustment, the adjustment path, control amplitude, and priority are adjusted in a coordinated manner, forming a decoupled control strategy with time-varying structural adaptive capabilities. This improves the adjustment accuracy, stability, and resource allocation efficiency under complex multi-channel operating conditions, and enhances the dynamic adaptability and response flexibility of the system during long-term operation. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the process of the multi-channel segmented mixed gas deoxygenation adaptive adjustment method of the present invention; Figure 2 This is a schematic diagram of the structure of the multi-channel segmented mixed gas deoxygenation adaptive adjustment device of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1, Figure 1 The present invention provides an adaptive regulation method for deoxygenation of mixed gas based on a multi-channel segmented approach, comprising the following steps: S1, acquire the first data of each segment in the multi-channel segmented mixed gas reaction system and construct the boundary coupling map of adjacent adjustment segments; the first data includes temperature, pressure, deoxygenation product concentration, time delay and gas flow rate; In this embodiment, the first data of each segment in the multi-channel segmented gas-mixing reaction system are obtained and the boundary coupling map of adjacent adjustment segments is constructed, specifically as follows: Different single disturbance commands are applied sequentially to multiple target control segments, and the dynamic response sequence of the first data of each segment before and after the disturbance is recorded. The first data includes temperature, pressure, deoxygenation product concentration, time delay and gas flow rate. The single disturbance commands include step disturbance of main gas flow rate, pulse disturbance of temperature control setpoint and component ratio disturbance. Based on the dynamic response sequence, the response amplitude, rate of change and initial delay characteristics of each adjustment segment under the disturbance are extracted. A disturbance response sample set is constructed with the disturbance segment as the input node and the indirect adjustment segment as the output node. The disturbance type, propagation delay and response intensity in each sample chain are marked. Based on a set of disturbance response samples, a causal reasoning graph model is trained to infer the implicit coupling relationship between segments from the system response behavior induced by the disturbance, and obtain a boundary coupling graph with directionality and weight values. The coupling graph is based on the disturbance-induced path and maps the boundary segments with strong response coupling characteristics under the actual operating state.

[0021] The aforementioned training of a causal inference graph model based on a set of disturbance response samples, inferring the implicit coupling relationships between segments from the system response behavior induced by the disturbance, specifically: Based on the disturbance response sample set, when training the causal inference graph model, for the response characteristics corresponding to each disturbance type in the sample set, the causal correlation strength between any two segments is calculated and the correlation direction is determined. The correlation direction is locked by the order of the start time delay, and the node connection weights and directions of the causal inference graph model are assigned accordingly. Based on the strength and direction of causal association, the causal graph reasoning method is used to identify inter-segment coupling paths with response dependencies in the graph structure.

[0022] The strength of the causal relationship is specifically as follows:

[0023] in, The strength of the causal relationship between node i and node j. For nodes , Pearson correlation coefficient of dynamic response sequence In response to the observation window length, The observation start time, Let i be the propagation delay from node i to node j. Let be the response change value of node j. Let be the response change value of node i.

[0024] S2, based on the boundary coupling map, extract the boundary coupling response features and construct the inter-segment perturbation propagation function; In this embodiment, boundary coupling response features are extracted based on the boundary coupling map, and an inter-segment perturbation propagation function is constructed. The specific steps are as follows: Based on the association direction between each adjustment segment and its adjacent segments in the boundary coupling map, the perturbation input sequence and boundary response output sequence between each pair of adjacent segments are extracted to construct a segment pair response sample set; Feature compression is performed on the segment response sample set to extract the magnitude gain, response delay, hysteresis integral and disturbance type label in the disturbance-response correspondence, and a coupled response vector is constructed. Based on the coupled response vector, an initial propagation function model is established with the perturbation input as the driving force and the boundary response as the output. The initial propagation function model is trained and fitted independently across multiple segment pairs to form the final inter-segment perturbation propagation function.

[0025] The inter-segment disturbance propagation function is specifically calculated using the following formula:

[0026] in, For section At time t, the segment The predicted value of the disturbance response, The boundary coupling gain coefficient is obtained by performing regression analysis on the disturbance response sample data, statistically analyzing the ratio of the response amplitudes of the disturbance input and output between segments, and calculating the average amplification factor. For section During the propagation delay time The preceding disturbance input signal, The coupling sensitivity factor corresponding to perturbation type k is obtained by classifying and statistically analyzing the response amplitude and propagation characteristics under different perturbation types, and then normalizing the result. The response decay factor (obtained by fitting an exponential decay model to the disturbance response curve) represents the degree of dissipation of the disturbance during propagation. This is a random perturbation term, representing unmodeled dynamic changes and measurement noise (calculated by fitting the residuals through the perturbation propagation function, usually assumed to be a small random perturbation with zero mean).

[0027] S3. Based on the disturbance propagation function, identify the coupling sensitive segment and dynamically delineate the buffer control area; In this embodiment, based on the disturbance propagation function, the coupling-sensitive segment is identified, and the buffer control area is dynamically defined, specifically as follows: Based on the predicted response amplitude and propagation delay of the inter-segment disturbance propagation function, the cumulative influence intensity index of each adjustment segment on the disturbance of its adjacent segments is calculated. Adjustment segments with large cumulative impact intensity are selected according to a preset impact intensity threshold to form a buffer candidate set. The impact intensity threshold is set based on a comprehensive consideration of system security and stability and response timeliness. Based on the candidate set of buffers, combined with the geographical location of the coupled sensitive segment and the system operating status, the corresponding buffer control area is dynamically generated. The buffer range is adaptively adjusted according to the disturbance propagation delay and the trend of response amplitude change.

[0028] The dynamic delineation of the buffer control area also includes setting the adjustment priority and compensation constraint rules for the buffer control area, specifically: Based on the inter-segment disturbance propagation function, the disturbance response amplitude, propagation delay and frequency response characteristics of each regulating segment in the buffer control area to the adjacent segment are extracted, and the disturbance influence vector of the regulating segment is constructed. Based on the disturbance impact vector and system operating status indicators, the adjustment sensitivity and coordinated adjustment capability of each adjustment segment are quantified, and an adjustment segment priority ranking matrix is ​​constructed. Based on the priority ranking of the adjustment segments and the positional relationship with the coupled sensitive areas, the adjustment execution sequence of the buffer control area is dynamically set, and the action window and response range of each adjustment segment are defined. A set of compensation constraint rules is constructed within the buffer control area based on compensation constraints. The compensation constraints are: to avoid interference regulation superposition between high-priority adjustment segments; when compensation conflicts occur between adjacent adjustment segments, the path with the minimum local disturbance dissipation is preferred; and a response redundancy index is introduced to ensure coordinated sharing of multi-path responses. By combining the aforementioned adjustment execution sequence with the compensation constraint rule set, control instructions for the buffer control area are generated.

[0029] The specific calculation formula for the cumulative impact intensity index is as follows:

[0030] in, To accumulate the intensity of the impact, Let be the amplitude of the inter-segment disturbance propagation function at time t. The preset time decay factor, This is the effective time window for the propagation function.

[0031] S4, based on the prediction results of the disturbance propagation function and the configuration of the buffer control area, perform synchronous compensation adjustment operation on the buffer control area; In this embodiment, based on the disturbance propagation function prediction results and the buffer control region configuration, a synchronization compensation adjustment operation is performed on the buffer control region, specifically as follows: Based on the prediction results of the disturbance propagation function, the spatial and temporal disturbance influence areas and influence times of the current regulation operation are extracted to form a regulation prediction mapping matrix. This includes the response segment number on the disturbance-affected path. Expected response amplitude Propagation delay ; Based on the adjustment priority and compensation response rules of each segment within the buffer control area, and combined with the real-time adjustment margin and execution delay of each adjustment unit, an adjustment capability evaluation matrix is ​​generated. ,in, For section Remaining adjustment margin For section Adjustment response delay, For section The adjustment priority is determined by this matrix, which is used to calibrate the adjustment start sequence and adjustment amplitude upper limit for each response segment. Based on the regulation prediction mapping matrix and the regulation capability evaluation matrix, a matching model between disturbance response intensity and regulation capability is constructed to determine the start time and amplitude distribution of regulation actions on the time axis, and to obtain the regulation synchronization scheduling table. Based on the timing and spatial location in the adjustment and synchronization scheduling table, multiple synchronous compensation operations are initiated in the buffer control area. The compensation operations include main gas flow rate adjustment, temperature control device adjustment and gas ratio correction, forming a segmented collaborative response mechanism. Record the post-compensation feedback value for each response segment and update the regulation efficiency weight of the corresponding segment in the regulation capability assessment matrix.

[0032] The matching model is specifically as follows: Calculate the moment when the target segment disturbance has an effect on the response segment:

[0033] The compensation start time for segment i is calculated as follows:

[0034] Calculation segment Recommended compensation value:

[0035]

[0036] in, Let i be the actual time point when the disturbance occurs. The start time for issuing the disturbance to the target adjustment segment. The propagation delay of the disturbance from the target segment to the i-th response segment is given by the following formula: Let i be the compensation start time for the i-th segment. The action response delay of the i-th segment adjustment unit from startup to activation is given by [the function name]. To suggest a compensation amplitude, This represents the current maximum available adjustment margin for the i-th segment. To predict the magnitude of the response caused by the disturbance to the i-th segment, The preset adjustment efficiency factor, To adjust the synchronization schedule.

[0037] S5 updates the disturbance propagation function and boundary map based on the deviation between the adjusted system state and the predicted response, thereby achieving adaptive boundary decoupling control.

[0038] In this embodiment, the disturbance propagation function and boundary map are updated based on the deviation between the adjusted system state and the predicted response, specifically as follows: The system state data after the adjustment is executed is compared with the predicted disturbance response data, the residual sequence is extracted, and the abnormal drift points and attenuation offset trends in the propagation mode are identified as key dynamic features for disturbance propagation correction. Based on key dynamic characteristics, a set of disturbance propagation correction factors is constructed, including propagation gain adjustment coefficient, response delay offset factor and reflection link enhancement factor, which are used to update the original disturbance propagation function piece by piece. The modified propagation function is mapped onto the original boundary coupling map structure, the correlation strength of the coupling boundary is re-evaluated, and the effective boundary, redundant boundary and potential conflict coupling region are extracted to generate the latest boundary decoupling map. Based on the updated boundary map, the controllable margin of the joint regulation segment and the response timing of the target buffer segment are dynamically adjusted to dynamically adjust the regulation amplitude and regulation priority, outputting a decoupled control strategy with boundary dynamic adaptability, thereby realizing dynamic reconstruction and conflict avoidance of the regulation path.

[0039] Example 2, Figure 2 The present invention provides a multi-channel segmented mixed gas deoxygenation adaptive adjustment device, comprising the following modules: Boundary coupling map construction module: used to acquire the first data of each segment in the multi-channel segmented mixed gas reaction system and construct the boundary coupling map of adjacent adjustment segments; the first data includes temperature, pressure, deoxygenation product concentration and gas flow rate; Response extraction and propagation modeling module: used to extract boundary coupling response features based on boundary coupling maps and construct inter-segment perturbation propagation functions; Buffer delineation module: used to identify coupling-sensitive segments and dynamically delineate buffer control areas based on the disturbance propagation function; Synchronization adjustment and disturbance compensation module: Used to perform synchronization compensation adjustment operations on the buffer control area based on the disturbance propagation function prediction results and the buffer control area configuration; Feedback correction module: used to update the disturbance propagation function and boundary map based on the deviation between the adjusted system state and the predicted response, so as to realize adaptive boundary decoupling control.

[0040] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0041] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0042] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0043] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0044] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0045] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-channel segmented adaptive regulation method and device for deoxygenation of mixed gas, characterized in that, Includes the following steps: Acquire the first data of each segment in the multi-channel segmented mixed gas reaction system and construct the boundary coupling map of adjacent regulation segments; the first data includes temperature, pressure, deoxygenation product concentration and gas flow rate; Based on the boundary coupling map, boundary coupling response features are extracted, and inter-segment perturbation propagation functions are constructed; Based on the disturbance propagation function, identify the coupling sensitive segment and dynamically delineate the buffer control area; Based on the disturbance propagation function prediction results and the buffer control area configuration, a synchronous compensation adjustment operation is performed on the buffer control area. Based on the deviation between the adjusted system state and the predicted response, the disturbance propagation function and boundary map are updated to achieve adaptive boundary decoupling control.

2. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 1, characterized in that, The acquisition of the first data of each segment in the multi-channel segmented gas-mixing reaction system and the construction of the boundary coupling map of adjacent adjustment segments are specifically as follows: Different single disturbance commands are applied sequentially to multiple target control segments, and the dynamic response sequence of the first data of each segment before and after the disturbance is recorded. Based on the dynamic response sequence, the response amplitude, rate of change and initial delay characteristics of each adjustment segment under the disturbance are extracted. A disturbance response sample set is constructed with the disturbance segment as the input node and the indirect adjustment segment as the output node. The disturbance type, propagation delay and response intensity in each sample chain are marked. Based on a set of disturbance response samples, a causal reasoning graph model is trained to infer the implicit coupling relationship between segments from the system response behavior induced by the regulation disturbance, and obtain the boundary coupling spectrum.

3. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 2, characterized in that, The aforementioned training of a causal inference graph model based on a set of disturbance response samples, inferring the implicit coupling relationships between segments from the system response behavior induced by the disturbance, specifically: Based on the disturbance response sample set, when training the causal inference graph model, the causal correlation strength between any two segments is calculated and the correlation direction is determined for the response characteristics corresponding to each disturbance type in the sample set. Based on the strength and direction of causal association, the causal graph reasoning method is used to identify inter-segment coupling paths with response dependencies in the graph structure.

4. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 3, characterized in that, The steps for extracting boundary coupling response features based on the boundary coupling map and constructing the inter-segment perturbation propagation function are as follows: Based on the association direction between each adjustment segment and its adjacent segments in the boundary coupling map, the perturbation input sequence and boundary response output sequence between each pair of adjacent segments are extracted to construct a segment pair response sample set; Feature compression is performed on the segment response sample set to extract the magnitude gain, response delay, hysteresis integral and disturbance type label in the disturbance-response correspondence, and a coupled response vector is constructed. Based on the coupled response vector, an initial propagation function model is established with the perturbation input as the driving force and the boundary response as the output. The initial propagation function model is trained and fitted independently across multiple segment pairs to form the final inter-segment perturbation propagation function.

5. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 4, characterized in that, The process of identifying coupling-sensitive segments and dynamically defining buffer control regions based on the disturbance propagation function specifically involves: Based on the predicted response amplitude and propagation delay of the inter-segment disturbance propagation function, the cumulative influence intensity index of each adjustment segment on the disturbance of its adjacent segments is calculated. Adjustment segments with significant cumulative impact intensity are selected according to a preset impact intensity threshold to form a buffer candidate set; Based on the candidate set of buffers, combined with the geographical location of the coupled sensitive segment and the system operating status, the corresponding buffer control area is dynamically generated.

6. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 5, characterized in that, The dynamic delineation of the buffer control area also includes setting the adjustment priority and compensation constraint rules for the buffer control area, specifically: Based on the inter-segment disturbance propagation function, the disturbance response amplitude, propagation delay and frequency response characteristics of each regulating segment in the buffer control area to the adjacent segment are extracted, and the disturbance influence vector of the regulating segment is constructed. Based on the disturbance impact vector and system operating status indicators, the adjustment sensitivity and coordinated adjustment capability of each adjustment segment are quantified, and an adjustment segment priority ranking matrix is ​​constructed. Based on the priority ranking of the adjustment segments and the positional relationship with the coupling sensitive areas, the adjustment execution sequence of the buffer control area is dynamically set. Construct a set of compensation constraint rules within the buffer control area based on compensation constraint conditions; By combining the aforementioned adjustment execution sequence with the compensation constraint rule set, control instructions for the buffer control area are generated.

7. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 6, characterized in that, The synchronous compensation adjustment operation performed on the buffer control region based on the disturbance propagation function prediction result and the buffer control region configuration is as follows: Based on the prediction results of the disturbance propagation function, the spatial and temporal disturbance influence areas and influence times of the current regulation operation are extracted to form a regulation prediction mapping matrix; Based on the adjustment priority and compensation response rules of each segment in the buffer control area, and combined with the real-time adjustment margin and execution delay of each adjustment unit, an adjustment capability evaluation matrix is ​​generated. Based on the regulation prediction mapping matrix and the regulation capability evaluation matrix, a matching model between disturbance response intensity and regulation capability is constructed to determine the start time and amplitude distribution of regulation actions on the time axis, and to obtain the regulation synchronization scheduling table. Based on the timing and spatial location in the adjustment synchronization schedule table, initiate multi-segment synchronization compensation operations within the buffer control area; Record the compensated feedback value for each response segment and update the regulation efficiency weight of the corresponding segment in the regulation capability assessment matrix.

8. The adaptive adjustment method and apparatus for deoxygenation of mixed gas based on multi-channel segmented system according to claim 7, characterized in that, The process of updating the perturbation propagation function and boundary map based on the deviation between the adjusted system state and the predicted response is as follows: The system state data after the adjustment is executed is compared with the predicted disturbance response data, the residual sequence is extracted, and the abnormal drift points and attenuation offset trends in the propagation mode are identified as key dynamic features for disturbance propagation correction. Based on key dynamic characteristics, a set of disturbance propagation correction factors is constructed, including propagation gain adjustment coefficient, response delay offset factor and reflection link enhancement factor, which are used to update the original disturbance propagation function piece by piece. The modified propagation function is mapped onto the original boundary coupling map structure, the correlation strength of the coupling boundary is re-evaluated, and the effective boundary, redundant boundary and potential conflict coupling region are extracted to generate the latest boundary decoupling map. Based on the updated boundary map, the controllable margin of the joint regulation segment and the response timing of the target buffer segment are dynamically adjusted to dynamically adjust the regulation amplitude and regulation priority, outputting a decoupled control strategy with boundary dynamic adaptability, thereby realizing dynamic reconstruction and conflict avoidance of the regulation path.

9. An apparatus using the multi-channel segmented mixed gas deoxygenation adaptive adjustment method as described in any one of claims 1-8, characterized in that, Includes the following modules: Boundary coupling map construction module: used to acquire the first data of each segment in the multi-channel segmented mixed gas reaction system and construct the boundary coupling map of adjacent adjustment segments; the first data includes temperature, pressure, deoxygenation product concentration and gas flow rate; Response extraction and propagation modeling module: used to extract boundary coupling response features based on boundary coupling maps and construct inter-segment perturbation propagation functions; Buffer delineation module: used to identify coupling-sensitive segments and dynamically delineate buffer control areas based on the disturbance propagation function; Synchronization adjustment and disturbance compensation module: Used to perform synchronization compensation adjustment operations on the buffer control area based on the disturbance propagation function prediction results and the buffer control area configuration; Feedback correction module: used to update the disturbance propagation function and boundary map based on the deviation between the adjusted system state and the predicted response, so as to realize adaptive boundary decoupling control.

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