Ball valve control system based on working condition situation awareness

Abstract

The invention discloses a ball valve control system based on working condition situation awareness, and particularly relates to the field of ball valve control, which comprises a path reconstruction module, a conflict identification module, a credibility evaluation module and a stability feedback module, the path reconstruction module constructs an initial control path set by extracting trigger nodes in the control command information, and sequentially generates a path execution graph, a data delay matrix and a synchronous node sequence to form a basic expression of a control path structure and a time sequence relationship; the conflict identification module marks credibility states of the node pairs by calculating response deviation values of the trigger node pairs in the synchronous node sequence and combining tolerance values set by response types of the trigger node pairs; according to the method, the trigger node relation in the control command is analyzed, the path structure is extracted, the response conflict is recognized, the command credibility is evaluated, and the path stability is fed back in sequence, so that synchronous judgment and dynamic regulation and control of the ball valve control behavior chain are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ball valve control, more particularly, to a ball valve control system based on working condition situation awareness. BACKGROUND

[0002] In the current industrial process control scene, the ball valve control system as a key component of the execution layer, its control command often needs to be transmitted and responded among multiple types of heterogeneous devices. Limited by the differences in device physical location, network topology and response mechanism, the system generally has the problems of response asynchrony and propagation delay.

[0003] Traditional solutions rely on static timing configuration and single-path feedback, which are difficult to fully perceive the structural conflict and dynamic behavior evolution process of the control path, resulting in a lack of effective synchronization judgment mechanism before command execution, and a lack of structured analysis and stability feedback on response consistency after execution, which further affects the coordination, reliability and evolution adjustment ability of the overall system. SUMMARY

[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a ball valve control system based on working condition situation awareness, which analyzes the trigger node relationship in the control command, extracts the path structure, identifies the response conflict, evaluates the command credibility and feeds back the path stability in sequence, to realize the synchronization judgment and dynamic regulation of the ball valve control behavior chain.

[0005] To achieve the above object, the present application provides the following technical scheme: a ball valve control system based on working condition situation awareness, comprising a path reconstruction module, a conflict identification module, a credibility evaluation module and a stability feedback module.

[0006] The path reconstruction module extracts the trigger nodes in the control command information, constructs an initial control path set, and generates a path execution graph, a data delay matrix and a synchronization node sequence in sequence, forming a basic expression of the control path structure and timing relationship.

[0007] The conflict identification module calculates the response offset value of each trigger node pair in the synchronization node sequence, and combines the tolerance value set according to the response type to mark the credibility state of the node pair, and then constructs a conflict node pair set and an inertial asynchronous path to identify the structural conflict characteristics in the control path.

[0008] The credibility evaluation module extracts the control command information based on the inertial asynchronous path, calculates the credibility of the control command according to the credibility ratio of the node pair, and determines whether it is allowed to execute through a threshold judgment mechanism, constructs a synchronization judgment process before action and generates a blocking factor.

[0009] The stable feedback module updates the behavior chain record by writing the executed control command information and marking the state, and identifies the potential structural lag path and evaluates the path stability by combining the trigger node asynchronous probability matrix, to form the feedback basis of the behavior evolution trend.

[0010] In a preferred embodiment, the path reconstruction module extracts the corresponding trigger node, the device to which the node belongs, and the associated control command information from each data record by converging the operation state data and control response data collected by the execution device in the ball valve control system according to the time tag, to construct an initial control path set;

[0011] The control command information of each control path in the initial control path set is arranged in chronological order, and the trigger nodes are sequentially extracted to generate a path execution graph, the trigger nodes including a control action identifier, a target device number, and a command effective time.

[0012] In a preferred embodiment, in the path reconstruction module, the time interval between each pair of adjacent trigger nodes in the path execution graph is calculated as a propagation delay value, and all propagation delay values are combined to form a data delay matrix, which is used to represent the transmission timeliness characteristics of control instructions between different devices;

[0013] The path execution graph and the data delay matrix are used as inputs to perform a structural ordering operation, the control dependency relationship between the nodes is analyzed, and a synchronous node sequence with time sequence consistency is output.

[0014] In a preferred embodiment, the conflict identification module calculates the time difference between any two consecutive trigger nodes in the synchronous node sequence as a response offset value, and defines each group of consecutive trigger nodes as a node pair;

[0015] By extracting the functional relationship of the node pair in the control path, the response type is identified, and each response type is directly corresponding to the response time tolerance value set in the control system;

[0016] Each response offset value is compared with the response time tolerance value set for its corresponding response type, if the response offset value is less than or equal to the response time tolerance value, the node pair is marked as trusted; otherwise, it is marked as a conflict.

[0017] In a preferred embodiment, in the conflict identification module, the node pairs marked as trusted are included in the trusted node sequence; the node pairs marked as conflicts are included in the conflict node pair set and enter the conflict analysis process, and the cause classification, condition tracing, and pattern recognition operations are performed;

[0018] The path segments where the node pairs in the set of conflict node pairs are located are counted, and if the same conflict node pair appears more than three times in a path segment, the path segment is marked as an inertial asynchronous path and sent to the consistency evaluation process.

[0019] In a preferred embodiment, the trusted evaluation module locates a control path containing the control command information in the initial control path set by taking the control command information in the inertial asynchronous path as input, extracts the node pairs in the path, and generates a set of action candidate instructions in combination with the position of the first node in the node pair;

[0020] The set of action candidate instructions is taken as input, the number of node pairs that have been marked as trusted is counted, and a ratio calculation is performed with the total number of node pairs in the control path to generate a trustworthiness value corresponding to the control command information.

[0021] In a preferred embodiment, in the trusted evaluation module, the generated trustworthiness value is compared with the system set synchronization tolerance threshold value, if the value meets the threshold condition, the control command information is marked as allowed to execute and enters the action confirmation process, otherwise it is marked as temporarily suspended and enters the blocking processing process;

[0022] The control command information marked as temporarily suspended is taken as input, all node pairs in its corresponding control path are extracted, and the node pairs that have been marked as conflict multiple times are counted to generate a corresponding blocking factor.

[0023] In a preferred embodiment, the stable feedback module forms a behavior evolution path by writing the control command information marked as allowed to execute into the node position in the corresponding control path, adding an executed state identifier, and synchronously updating to the behavior chain state record.

[0024] Based on the node pairs marked as conflict that the generated blocking factor depends on, the trigger nodes of each group of node pairs are extracted, the occurrence frequency and structural position of these trigger nodes in the historical path are counted, and a trigger node asynchronous probability matrix is constructed.

[0025] In a preferred embodiment, in the stable feedback module, the node asynchronous probability matrix is taken as input to determine whether there is a repeated asynchronous distribution pattern in the matrix within three consecutive analysis periods.

[0026] If it exists, output the potential structural lag path, if it does not exist, clear the current matrix cache and enter the next round of calculation;

[0027] The trigger nodes of the executed state and the trigger node asynchronous probability matrix constructed in the last period are taken as joint input to perform path stability scoring operation and output the stability score result.

[0028] The technical effects and advantages of the present application are as follows:

[0029] 1、The present application quantifies the propagation delay characteristics of each trigger node in the ball valve control system by constructing a control path execution graph and a data delay matrix, and establishes a synchronization node sequence expression mechanism, thereby solving the problem of synchronization determination difficulty caused by asynchronous response and uneven propagation, and providing structured support for dynamic awareness and regulation before control command execution.

[0030] 2、The present application sets timing tolerance based on response type, and introduces a response offset calculation method to mark the credibility of trigger node pairs, further divides the conflict node pair set and the inertial asynchronous path, and identifies the structural conflict mode that may cause timing disorder in the control behavior chain.

[0031] 3、The present application combines the conflict marking result and the path structure to design a control command credibility evaluation mechanism, constructs a pre-execution judgment process based on the credibility of node pairs and the synchronization tolerance threshold, reduces the risk of triggering instructions without synchronization basis, and improves the overall scheduling stability.

[0032] 4、The present application establishes a trigger node asynchronous probability matrix and a lag path identification model, periodically analyzes the distribution mode that may cause instruction mismatch in the behavior chain, and constructs a stability score feedback system accordingly, strengthens the dynamic control ability of path evolution trend, and supports the optimization of scheduling strategy under complex working conditions. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The system module diagram of the present application.

[0034] Figure 2 The path reconstruction flowchart of the present application.

[0035] Figure 3 The conflict identification flowchart of the present application.

[0036] Figure 4 The credibility evaluation flowchart of the present application.

[0037] Figure 5 The stability feedback flowchart of the present application. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0039] Refer to the drawings in the description Figures 1-5The embodiment of the application is a ball valve control system based on working condition situation awareness, which comprises a path reconstruction module, a conflict identification module, a trust evaluation module and a stable feedback module.

[0040] The path reconstruction module constructs an initial control path set by extracting trigger nodes in control command information, and generates a path execution graph, a data delay matrix and a synchronization node sequence in sequence to form a basic expression of control path structure and timing relationship.

[0041] The conflict identification module calculates the response offset value of each trigger node pair in the synchronization node sequence, and combines the tolerance value set according to the response type to mark the trustworthiness state of the node pair, and then constructs a conflict node pair set and an inertial asynchronous path to identify the structural conflict characteristics in the control path.

[0042] The trust evaluation module extracts control command information based on the inertial asynchronous path, calculates the trustworthiness of the control command according to the trustworthiness ratio of the node pair, and determines whether it is allowed to execute through a threshold judgment mechanism, constructs a synchronization judgment process before action and generates a blocking factor.

[0043] The stable feedback module updates the behavior chain record by writing the executed control command information and marking the state, and identifies the potential structural lag path and evaluates the path stability by combining the trigger node asynchronous probability matrix to form the feedback basis of the behavior evolution trend.

[0044] The path reconstruction module aggregates the running state data and control response data collected by the execution device in the ball valve control system according to the time label, extracts the corresponding trigger node, the device to which the node belongs and the associated control command information from each data record to construct an initial control path set; wherein the control command information includes control action identification, target device number and command effective time limit, which is used to describe the behavior intention of driving device state change.

[0045] The control command information of each control path in the initial control path set is arranged in chronological order, and the trigger nodes are extracted in sequence to generate a path execution graph, including control action identification, target device number and command effective time.

[0046] It should be noted that for the formula structure involved in the present scheme, the dimensionless term can be used as a proportional or structural adjustment factor, which only plays a numerical scaling role when combined with quantities with units, without introducing new physical dimensions, so it will not change or confuse the unit system of the whole expression; such combination of "dimensionless term and quantity unit term" can be understood as the composite structure expression form commonly used in mathematical and physical modeling, which conforms to the principle of dimensional consistency and has a clear physical interpretation basis.

[0047] Secondly, in the formula structure of the scheme, if it involves multiple variable terms with different physical units, including but not limited to time, mass or energy variables, their joint occurrence is to express the cooperative modeling relationship of multiple physical mechanisms. Each variable can be mapped by a function, combined by a ratio or adjusted by a normalization to form a unified structure with clear units and explicit meaning, and the overall expression conforms to the principle of dimensional consistency and the general norm of engineering modeling.

[0048] In the scheme, if design constants, weights, adjustment factors, threshold parameters, and proportion coefficients are designed, they are adjustable control parameters for different application environments. Their values depend on the target device configuration, data input characteristics, and performance optimization goals. In the implementation stage, they are set within a reasonable range through model verification, performance constraints, or engineering calibration. Although these parameters do not have a unique value, they have clear adjustment logic and calculation paths, and belong to the deterministic setting process in engineering implementation. The purpose of such setting is to ensure that the scheme has general adaptability, reproducibility, and operability, without affecting its technical clarity and implementability.

[0049] In the path reconstruction module, the time interval between each pair of adjacent trigger nodes in the path execution graph is calculated as the propagation delay value, and all propagation delay values are combined to form a data delay matrix, which is used to represent the transmission time characteristics of control commands between different devices.

[0050]

[0051] wherein is the propagation delay value between the i-th trigger node and the j-th trigger node in the control path k; is the command sending time of the i-th trigger node in the path k; is the response receiving time of the j-th trigger node in the path k; N (k) is the total number of trigger nodes in the control path k; D (k) is the propagation delay matrix of the control path k, and each matrix element in the propagation delay matrix corresponds to the command transmission time difference of a pair of trigger nodes;

[0052] Further, The formula aims to quantify the command propagation time between adjacent trigger nodes i and j in the control path k. By constructing the propagation delay matrix D (k) , it provides a unified time reference for subsequent response offset analysis. Specifically, represents the total time consumption of the control command from node i to node j, which constitutes the basic structure of the path time topology and is used to construct the synchronization node sequence and propagation relationship graph in the scheme.

[0053] The path execution graph and data delay matrix are used as input to perform a structure sorting operation, which resolves the control dependencies between nodes and outputs a sequence of synchronized nodes with time-series consistency.

[0054] The conflict identification module calculates the response offset value by the time difference between any two consecutively triggered nodes in the synchronization node sequence, and defines each group of consecutively triggered nodes as a node pair;

[0055] By extracting the functional relationships between nodes in the control path, we can identify their response types and directly map each response type to the response time tolerance value set in the control system. The response types include command issuance and status confirmation, status acquisition and data upload, alarm triggering and linkage response, status feedback and archiving, and equipment linkage and logic locking.

[0056] Each response offset value is compared with the response time tolerance value set for its corresponding response type. If the response offset value is less than or equal to the response time tolerance value, the node pair is marked as trustworthy; otherwise, it is marked as conflicting.

[0057]

[0058] in The offset value of the response of the trigger node in the control path k to i→j; This is the propagation delay value; To control the credibility of the trigger node pair (i, j) in path k, a value of 1 indicates that the node pair meets the response timing requirements and is judged as credible, and a value of 0 indicates that the node pair has excessive response deviation and is judged as conflicting. Let r be the response type of the node pair (i, j). i,j The response time tolerance value; r i,j Encode the response type of node pair (i, j) to identify its functional relationship in the control flow, such as predefined types like "instruction issuance and status confirmation" or "status acquisition and data upload";

[0059] Furthermore, The formula is used to determine whether each pair of trigger nodes in control path k meets the response timing requirements, thus realizing the basic classification operation for structural conflict identification. This is achieved by calculating the response offset value. and compare it with the response type tolerance threshold. Comparison yields reliability ratings This marker serves as the basis for dividing the set of conflicting nodes into sets of trusted nodes and is a prerequisite criterion for generating inertial asynchronous paths.

[0060] In the conflict identification module, the node pairs marked as trusted are included in the trusted node sequence; the node pairs marked as conflict are included in the conflict node pair set and enter the conflict analysis process to perform cause classification, condition tracing and pattern recognition operations;

[0061] The path segments where the node pairs in the conflict node pair set are located are counted, and if the number of times the same conflict node pair appears in the path segment exceeds three times, the path segment is marked as an inertial asynchronous path and sent to the consistency evaluation process for evaluating the degree of interference caused by the structural conflict pairs on the behavior chain consistency, and adjusting the verification strategy and scheduling parameters of the subsequent control instructions accordingly.

[0062] The trusted evaluation module locates the control path containing the control command information in the initial control path set by taking the control command information in the inertial asynchronous path as input, extracts the node pairs in the path, and generates the action candidate instruction set in combination with the position of the first node in the node pair;

[0063] Taking the action candidate instruction set as input, the number of node pairs marked as trusted is counted, and the ratio calculation is performed with the total number of node pairs in the control path to generate the trustworthiness value of the corresponding control command information;

[0064]

[0065] Where C cmd is the trustworthiness value of the current control command information; is the set composed of all trigger node pairs associated with the control command information in the control path; is the trustworthiness label of node pair i-j in path k; is the number of node pairs associated with the control command information;

[0066] Further, C cmd The formula is used to evaluate the overall timing trustworthiness of a control command information in the structural environment of its control path, by counting the number of node pairs marked as trusted in the set of associated node pairs and calculating the ratio with the total number of the set to obtain the trustworthiness index The value is the quantitative basis for whether the action is allowed to be executed, and is the core calculation logic for realizing the pre-synchronization judgment and generating the blocking factor.

[0067] In the trusted evaluation module, the generated trustworthiness value is compared with the synchronization tolerance threshold set by the system, and if the value meets the threshold condition, the control command information is marked as allowed to be executed and enters the action confirmation process, otherwise it is marked as temporarily suspended and enters the blocking process.

[0068] The control command information marked as temporarily suspended is inputted, all node pairs in the control path to which the control command information belongs are extracted, and the node pairs marked as conflict multiple times are counted to generate the corresponding blocking factor.

[0069] The stable feedback module writes the control command information marked as allowed execution into the node position in the corresponding control path, adds an executed state identifier, and synchronously updates the behavior chain state record to form a behavior evolution path;

[0070] Based on the node pairs marked as conflict on which the generated blocking factor depends, the trigger nodes of each group of node pairs are extracted, the occurrence frequency and structure position of the trigger nodes in the historical path are counted, and a trigger node asynchronous probability matrix is constructed.

[0071] In the stable feedback module, the node asynchronous probability matrix is inputted, and it is judged whether there is a repeated asynchronous distribution pattern in the matrix in three consecutive analysis periods;

[0072] If there is, a potential structural lag path is outputted, and if there is not, the current matrix cache is cleared to enter the next round of calculation;

[0073] The trigger nodes of the executed state and the trigger node asynchronous probability matrix constructed in the last period are taken as joint inputs, a path stability score operation is performed, and a stability score result is outputted, which is used as the basis for subsequent scheduling priority adjustment;

[0074]

[0075] wherein is the stability score result of the control path in the current period t; ε t is the set of trigger node pairs of the executed state in the current period t; is the response offset value of the node pair i→j in period t; is the tolerance value of the response type to which the node pair i→j belongs; is the asynchronous probability value of the node pair i→j in the last period (t-1); |ε t | is the number of executed node pairs in the current period;

[0076] Further, The formula is used to evaluate the stability degree of the control path in terms of structural response within the system running period t, which combines the response offset of the executed trigger node pair in the current period its response tolerance and the asynchronous probability of the previous period Through the scoring function The output path stability level, the path stability score is used to determine whether the behavior chain has persistence lag or interference, and is the basis for analyzing the evolution trend of control behavior.

[0077] In addition, the whole scheme needs to be explained, the formation process of the scheme is based on the problems of response asynchrony, propagation delay and lack of behavior chain synchronization judgment mechanism in the ball valve control system, and a regulation and control system architecture with working condition situation awareness as the core is proposed.

[0078] Traditional ball valve control often relies on static configuration and single path feedback, which is difficult to deal with structural conflicts and synchronization judgment problems in the process of multi-device collaborative response. Especially in industrial field, the controllability of command execution process and the structural dynamics of feedback path are highly coupled, so a system scheme with path analysis, conflict identification, evaluation and feedback ability is needed. The scheme of the control behavior chain is constructed on this basis;

[0079] At the system implementation level, the scheme first sets up a path reconstruction module, which extracts the trigger nodes in sequence according to the time tag based on the control response data collected by the device, constructs an initial path set containing control actions, device identification and effective time, and further generates a path execution graph. This process is not simply data aggregation, but through the time difference of command propagation between nodes to construct a propagation delay matrix, so that each path has a time-effective topology expression, and then through structural sorting to form a synchronization node sequence, providing a standard time alignment basis and control logic chain basis for the subsequent module;

[0080] Then the conflict identification module calculates the response offset of any two consecutive trigger nodes in the synchronization node sequence, and combines the control logic functions (such as command issuing and confirmation, state collection and uploading, etc.) undertaken by the node pair, and assigns a response time tolerance value to each function type. The system compares the offset value with the tolerance value to mark the response relationship of the node pair, and divides it into trusted nodes and conflict nodes.

[0081] Further, the system classifies the path segment with repeated conflict node pairs as inertial asynchronous path, so as to reveal the timing mismatch hidden danger caused by structural inertia, which is also the premise of path consistency evaluation;

[0082] Next, the trust evaluation module generates the trust value of the command by counting the proportion of the node pairs involved in the command that have been marked as trusted, and compares it with the preset synchronization tolerance threshold. If the trust value meets the execution standard, the command is allowed to enter the subsequent action confirmation process. If it does not meet the execution standard, the execution is suspended, and a blocking factor is generated, which is based on the node pairs where conflicts occur frequently. This design enables the system to have dynamic perception and autonomous judgment ability before the action is triggered, thereby improving the system stability and anti-interference ability.

[0083] Finally, the stable feedback module writes the executed command information into the behavior chain structure with an execution mark, and counts the occurrence frequency and structure position of the command in the historical path, and then constructs an asynchronous probability matrix of the trigger node, which is used to mine repetitive asynchronous patterns. The system regularly checks whether there is a repetitive asynchronous pattern in consecutive cycles. If there is, the system outputs a potential structural lag path to provide early warning. If there is not, the system clears the cache data to perform a new round of iteration. Combined with the matrix and the behavior data of the executed nodes, the system performs a path stability score to measure whether the current path is in an evolutionary stable state or has potential disturbances. This score result is not only used for subsequent scheduling priority adjustment, but also serves as a quantitative basis for global behavior chain adjustment.

[0084] The reason for using the above process is that in complex industrial conditions, ball valve control is not a single command execution problem, but a time sequence response network with multiple nodes and multiple paths. Only by combining path structure analysis, conflict identification and trust evaluation can the dynamic regulation of control behavior chain be realized. The introduction of the stable feedback mechanism is to change one-time control into a retroactive and evolutionary process, and to realize the trend grasping of the overall scheduling behavior of the system.

[0085] The above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A ball valve control system based on situational awareness, comprising a path reconstruction module, a conflict identification module, a trust evaluation module, and a stable feedback module, characterized in that: The path reconstruction module extracts trigger nodes from control command information, constructs an initial control path set, and sequentially generates a path execution graph, a data delay matrix, and a synchronization node sequence to form a basic expression of the control path structure and timing relationship. The conflict identification module calculates the response offset value of each trigger node pair in the synchronization node sequence, and combines the tolerance value set according to the response type to mark the trustworthiness state of the node pair, and then constructs a conflict node pair set and an inertial asynchronous path to identify the structural conflict characteristics in the control path. The trust evaluation module extracts control command information based on the inertial asynchronous path, calculates the trustworthiness of the control command according to the trustworthiness ratio of the node pair, and determines whether it is allowed to execute through a threshold judgment mechanism, constructs a synchronization judgment process before action and generates a blocking factor. The stable feedback module updates the behavior chain record by writing the executed control command information and marking the state, and identifies potential structural lag paths and evaluates path stability by combining the trigger node asynchronous probability matrix to form the feedback basis for behavior evolution trend.

2. The ball valve control system based on operating condition situation awareness according to claim 1, characterized in that: The path reconstruction module aggregates the running state data and control response data collected by the execution device in the ball valve control system according to the time tag, extracts the corresponding trigger node, the device to which the node belongs, and the associated control command information from each data record, and constructs an initial control path set. The control command information of each control path in the initial control path set is arranged in chronological order, and the trigger nodes are sequentially extracted to generate a path execution graph. The trigger nodes include control action identification, target device number, and command effective time.

3. The ball valve control system based on operating condition situation awareness according to claim 2, characterized in that: In the path reconstruction module, the time interval between each pair of adjacent trigger nodes in the path execution graph is calculated as a propagation delay value, and all propagation delay values are combined to form a data delay matrix, which is used to represent the transmission time efficiency characteristics of control instructions between different devices. The path execution graph and the data delay matrix are used as input to perform a structure sorting operation, analyze the control dependency relationship between nodes, and output a synchronization node sequence with consistent time sequence.

4. The ball valve control system based on operating condition situation awareness according to claim 3, characterized in that: The conflict identification module calculates the time difference between any two consecutive trigger nodes in the synchronization node sequence as the response offset value, and defines each group of consecutive trigger nodes as a node pair. By extracting the functional relationship of the node pair in the control path, the response type is identified, and each response type is directly corresponding to the response time tolerance value set in the control system. Each response offset value is compared with the response time tolerance value set according to its response type. If the response offset value is less than or equal to the response time tolerance value, the node pair is marked as trustworthy; otherwise, it is marked as conflict.

5. The ball valve control system based on operating condition situation awareness according to claim 4, characterized in that: In the conflict identification module, the node pairs marked as trustworthy are included in the trust node sequence; the node pairs marked as conflict are included in the conflict node pair set and enter the conflict analysis process to perform cause classification, condition tracing, and pattern recognition operations. The path segments where the node pairs in the conflict node pair set are located are counted, and if the same conflict node pair appears more than three times in a path segment, the path segment is marked as an inertial asynchronous path and sent to the consistency evaluation process.

6. The ball valve control system based on operating condition situation awareness according to claim 5, characterized in that: The trusted evaluation module locates the control path containing the control command information in the initial control path set by taking the control command information in the inertial asynchronous path as input, extracts the node pairs in the path, and generates a set of action candidate instructions in combination with the position of the first node in the node pair. The set of action candidate instructions is taken as input, the number of node pairs marked as trusted is counted, and a ratio calculation is performed with the total number of node pairs in the control path to generate a trust value corresponding to the control command information.

7. The ball valve control system based on operating condition situation awareness according to claim 6, characterized in that: In the trusted evaluation module, the generated trust value is compared with the system set synchronization tolerance threshold, if the value meets the threshold condition, the control command information is marked as allowed to execute and enters the action confirmation process, otherwise it is marked as temporarily suspended and enters the blocking process. The control command information marked as temporarily suspended is taken as input, all node pairs in its corresponding control path are extracted, and the node pairs marked as conflict multiple times are counted to generate the corresponding blocking factor.

8. The ball valve control system based on operating condition situation awareness according to claim 7, characterized in that: The stable feedback module writes the control command information marked as allowed to execute into the node position in the corresponding control path, adds an executed state identifier, and synchronously updates the behavior chain state record to form the behavior evolution path. Based on the conflict node pairs marked as conflict on which the generated blocking factor depends, the trigger nodes of each group of node pairs are extracted, the occurrence frequency and structure position of these trigger nodes in the historical path are counted, and a trigger node asynchronous probability matrix is constructed.

9. The ball valve control system based on operating condition situation awareness according to claim 8, characterized in that: In the stable feedback module, the node asynchronous probability matrix is taken as input to determine whether there is a repeated asynchronous distribution pattern in the matrix in the last three analysis periods. If there is, output the potential structural lag path, if not, clear the current matrix cache and enter the next round of calculation. The trigger nodes with executed state and the trigger node asynchronous probability matrix constructed in the last period are taken as joint input to perform path stability scoring operation and output the stability score result.

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