Sluice hub operation state simulation and safety evaluation method based on digital twinning

Abstract

The invention discloses a sluice hub operation state simulation and safety evaluation method based on digital twinning, and the method comprises the steps: obtaining a key structure of a sluice hub, building an action simulation model of control steps, obtaining an operation abnormality coefficient of the key structure, and predicting a correction operation result of the key structure. Therefore, according to the current operation condition of the key structure of the sluice hub, the abnormal operation coefficient is obtained through analysis, then the corrected operation result of the key structure under the maximum operation load is predicted by using the abnormal operation coefficient in a simulation mode, and whether the corrected operation result of the key structure under the maximum operation load is abnormal or not is judged. Therefore, whether the sluice hub can operate normally or not under any condition can be determined, so that fault hidden dangers can be recognized in advance, and targeted treatment is carried out.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of water gate hub management, and particularly relates to a water gate hub operation state simulation and safety evaluation method based on digital twinning. BACKGROUND

[0002] A water gate hub is a core facility in a water conservancy project, and is usually not a single water gate, but a complex composed of multiple functionally different buildings, which work together to achieve complex control targets. A water gate hub refers to a complex of a series of hydraulic structures built at a proper position of a river channel, a canal or a reservoir for centralized and effective control of water flow. It is like a water conservancy transportation hub, which accurately commands and dispatches water.

[0003] The water gate hub may have potential faults, but under the conventional operation parameter setting, the potential faults will not actually act, but when operated at the maximum load, the potential faults will actually act, which will affect the operation of the water gate hub. The prior art lacks identification of potential faults, which leads to failure to handle the potential faults in advance. SUMMARY

[0004] In view of the above problems, the purpose of the present application is to provide a water gate hub operation state simulation and safety evaluation method based on digital twinning.

[0005] The specific technical scheme for achieving the purpose of the present application is as follows:

[0006] A water gate hub operation state simulation and safety evaluation method based on digital twinning, comprising the following steps:

[0007] Obtaining at least one key structure of the water gate hub, obtaining at least one control step of the key structure at runtime, and establishing an action simulation model of the control step;

[0008] Forming a running error coefficient of the key structure, obtaining an actual running result of the key structure, and obtaining an actual parameter of the control step of the key structure;

[0009] Using the action simulation model, simulating to obtain a predicted running result of the key structure, based on the running error coefficient, analyzing the predicted running result and the actual running result to obtain a running abnormality coefficient of the key structure;

[0010] Forming a safety evaluation standard for the running of the key structure;

[0011] Obtaining a maximum running parameter of the control step of the key structure, based on the action simulation model and the running abnormality coefficient of the key structure, predicting a corrected running result of the key structure under the maximum running load;

[0012] Based on the safety evaluation standard, it is judged whether the modified operation result is abnormal, if yes, the safety hazard exists in the water gate hub, if no, no treatment is made.

[0013] Compared with the prior art, the present application has the beneficial effects that:

[0014] The scheme of the present application can obtain the key structure of the water gate hub, establish the action simulation model of the operation step, obtain the operation abnormality coefficient of the key structure, and predict the modified operation result of the key structure, so as to analyze the operation abnormality coefficient according to the current operation condition of the key structure of the water gate hub, and then predict the modified operation result of the key structure under the maximum operation load by using the operation abnormality coefficient in a simulation manner, and then judge whether the modified operation result of the key structure under the maximum operation load is abnormal, thereby it can be determined whether the water gate hub can normally operate under any condition, so as to realize the early identification of the fault hidden danger and the targeted treatment.

[0015] The present application will be further described below in combination with specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a flowchart of the water gate hub operation state simulation and safety evaluation method based on digital twinning of the present application.

[0017] Figure 2 It is a flowchart of obtaining at least one key structure of the water gate hub of the present application.

[0018] Figure 3 It is a flowchart of obtaining at least one operation step of the key structure at the running time of the present application.

[0019] Figure 4 It is a flowchart of establishing the action simulation model of the operation step of the present application.

[0020] Figure 5 It is a flowchart of forming the operation error coefficient of the key structure of the present application.

[0021] Figure 6 It is a flowchart of simulating to obtain the predicted operation result of the key structure by using the action simulation model of the present application.

[0022] Figure 7 It is a flowchart of obtaining the operation abnormality coefficient of the key structure of the present application.

[0023] Figure 8 It is a flowchart of predicting the modified operation result of the key structure under the maximum operation load of the present application.

[0024] Figure 9A flowchart for judging whether the operation result of the present application is abnormal. DETAILED DESCRIPTION

[0025] EMBODIMENT

[0026] The technical solutions in the embodiments of the present application will be clearly and completely described in connection with the drawings in the embodiments of the present application. The described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present application.

[0027] As shown in the present application and claims, unless the context clearly indicates otherwise, the words "one", "an", "a", and / or "the" do not mean to specify a single number, but also can include a plurality. Generally, the terms "comprise" and "include" only indicate the inclusion of the steps and elements explicitly identified, and these steps and elements do not constitute an exclusive list, and the method or device can also include other steps or elements.

[0028] Unless specifically stated otherwise, the relative arrangement of components and steps, numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, for the convenience of description, the sizes of the various parts shown in the drawings are not drawn in accordance with the actual proportional relationship. The technology, method and device known to those skilled in the relevant art can not be discussed in detail, but in appropriate cases, the technology, method and device should be considered as part of the authorized description. In all examples shown and discussed here, any specific value should be interpreted as merely exemplary, and not as a limitation. Therefore, other examples of exemplary embodiments can have different values. It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0029] Whether the water gate hub is safe is mainly related to whether there is a hidden danger of failure. When there is a hidden danger of failure, if it is not found and repaired in time, the hidden danger will intensify once, which is easy to cause safety accidents. The control of the water gate hub is mainly completed through the circuit, and the lack of control accuracy will inevitably be caused by the hidden danger in the circuit. Therefore, the safety hidden danger can be identified by using the control accuracy.

[0030] In this scheme, the main purpose is to predict the operation of the water gate hub under the maximum operating load by simulation, so as to judge whether the water gate hub has hidden troubles according to the predicted results. These hidden troubles may not appear in the conventional operation, but in some cases the water gate hub needs to run at full load, so its parameters will be adjusted to the maximum. Therefore, it is necessary to predict the operation under the maximum operating load. As long as its operation under the maximum operating load is normal, the water gate hub has no hidden troubles, otherwise, it means that there are hidden troubles;

[0031] However, there are multiple structures in the water gate hub, and the key structure is the regulation gate, the intake gate, the flood discharge gate, the ship lock or the hydropower station. However, different water gate hubs contain different structures, which may be a combination of multiple regulation gates and intake gates, or other combination forms. Therefore, when simulating, the structure needs to be identified in advance. Since the operation of the water gate hub is mainly determined by these structures, as long as these structures are judged, if these structures have hidden troubles, the water gate hub also has hidden troubles;

[0032] The structure in the water gate hub is relatively large. In order to obtain the operation under the maximum operating load, additional control is needed, which consumes additional energy. Since the operation of the water gate hub is changing, there may be no hidden troubles at present, but after a long time of operation, there may be hidden troubles. Therefore, if the operation under the maximum operating load is obtained by actual control, it is necessary to perform this operation regularly, which is not only troublesome, but also consumes additional energy. Therefore, this scheme proposes a water gate hub operation state simulation and safety evaluation method based on digital twinning, including the following steps, as shown in Figure 1 .

[0033] Step 1, obtain at least one key structure of the water gate hub, obtain at least one control step of the key structure at the time of operation, establish an action simulation model of the control step, including:

[0034] Among them, the process of obtaining at least one key structure of the water gate hub is as shown in Figure 2 , including:

[0035] (1) The reference structure of the water gate hub includes regulation gate, intake gate, flood discharge gate, ship lock or hydropower station, at least one sample image of the regulation gate, intake gate, flood discharge gate, ship lock and hydropower station is formed in advance;

[0036] (2) Classify the sample images to form at least one sample image set, and the sample images in the sample image set are the same type of reference structure;

[0037] (3) Divide the sample image into at least one sample block, summarize the sample blocks of the sample image into the feature set of the sample image, and take at least one scaling point uniformly in the (0,1) interval.

[0038] (4) Reduce the sample block according to the value of the scaling point to obtain the control block, and summarize the control blocks formed by the sample block to form the scaling set of the sample block;

[0039] (5) If the intersection of the scaling sets of two sample blocks is not an empty set, then the two sample blocks are the same; otherwise, the two sample blocks are not the same.

[0040] (6) Summarize the identical sample blocks to obtain a sample block set, and randomly select one sample block from the sample block set as the feature sample block;

[0041] (7) Replace the same sample block with the feature sample block. After the replacement is completed, take the intersection of the feature sets of the sample images in the sample image set to obtain the target set. Use the feature sample blocks in the target set as the recognition features of the reference structure corresponding to the sample image set.

[0042] (8) Obtain the actual image of the sluice gate hub and divide the actual image into at least one actual block. If the identification features of the reference structure are the same as those of one of the actual blocks, then the reference structure is taken as the key structure of the sluice gate hub.

[0043] Specifically, there are differences among similar benchmark structures. For example, control gates may have differences in size and external features. Therefore, direct identification cannot determine at least one key structure of the sluice gate hub. It is necessary to identify it through the identification features of similar benchmark structures. The identification features are at least one feature sample block common to similar benchmark structures.

[0044] To obtain the recognition features of the baseline structure, the sample images first need to be classified. Since the subject of the sample image is determined when it is acquired, the category of the corresponding baseline structure can be known, thus obtaining a set of sample images. When determining whether two sample blocks are the same, the judgment is mainly made through their respective scaling sets. This is because when sample blocks come from different images, the image acquisition ratio is unknown, and the actual size of the objects in the images is also unknown. Therefore, these dimensions will interfere with the comparison between the two. The scaling set is a summary of the results after the sample blocks are reduced. As long as the two have the same features, the comparison result will be the same when their sizes are the same, and the intersection of their scaling sets will be non-empty. Otherwise, it means that the two are different.

[0045] Once the criteria for whether sample blocks are identical are determined, sample blocks with the same relationship can be identified. For these sample blocks, they need to be made consistent, so feature sample blocks are used to replace them. If the feature sample block is the same as the replaced sample block, then the intersection of the feature sets of the sample images in the sample image set is taken to obtain the target set. The target set is the common feature of the reference structure corresponding to the sample image set. It should be noted that the identification features of the reference structure are composed of at least one feature sample block. Therefore, it can be used to identify the reference structure. During identification, the criterion for judging whether the feature sample block is the same as that for judging whether two sample blocks are the same is the same, which is also completed by scaling comparison. When the identification features of the reference structure are all contained in the actual image, it indicates that the reference structure is the key structure of the sluice gate hub.

[0046] The acquisition of at least one operational step during the runtime of the key structure, such as Figure 2 As shown, specifically:

[0047] (1) Obtain the historical operation process of the key structure, divide the historical operation process of the key structure into at least one local process, and satisfy the consistency of the operation parameters in the local process;

[0048] (2) The options that are adjusted in the operating parameters of the key structure at the start of the local process are used as the control steps.

[0049] In each step, the parameters remain unchanged because the control of the sluice gate hub is accomplished through parameter adjustment. When the parameters remain consistent, the operating state remains consistent. Since the control mainly operates on the parameters, each control step corresponds to the option of the parameter it controls. When controlling key structures, since they all have corresponding functions, the options of the parameters they control are the same, mainly differing in parameter settings.

[0050] Combination Figure 4 The simulation model for establishing the control steps is specifically as follows:

[0051] (1) Obtain the parameter value range of the control step, divide the parameter value range of the control step evenly, and obtain at least one control point;

[0052] (2) Take the line connecting the center of the key structure to any point on the surface of the key structure as the feature line;

[0053] (3) Under the condition that the parameters of the control step are equal to the control point, obtain the movement distance and rotation angle of the feature line of the key structure, wherein the movement distance of the feature line is equal to the movement distance of the center of the key structure.

[0054] (4) Pair and fit the movement distance of the control point and the feature line to obtain the first simulation function, and pair and fit the rotation angle of the control point and the feature line to obtain the second simulation function;

[0055] (5) Use the first simulation function and the second simulation function as the simulation model of the operation steps.

[0056] The key structures are control gates, intake gates, flood discharge gates, ship locks, or hydropower stations. Control gates, intake gates, flood discharge gates, and ship locks are all controlled by lifting and lowering. The key to hydropower stations lies in the rotation of the generator windings. Therefore, when identifying the operation results, classification processing is required. The movement distance of the feature line can be used to identify the vertical movement height of the gate, while the rotation angle of the feature line can be used to identify the rotation of the generator windings.

[0057] Each control step generates its corresponding first simulation function and second simulation function. It is easy to see that the second simulation function of the gate control step is 0 because the feature line does not change angle, while the first simulation function of the power station control step is 0 because the feature line does not change distance. This is because the movement distance of the feature line is equal to the movement distance of the center of the critical structure, and the center of the critical structure is the winding center of the generator set, which only rotates but does not move. That is, the gate control step is characterized by the first simulation function, and the power station control step is characterized by the second simulation function.

[0058] Although feature lines are formed by connecting the center of the key structure to any point on the surface of the key structure, for ease of identification, easily identifiable points on the surface of the key structure are selected to form feature lines. The center of the key structure can be estimated by the overall movement of the key structure, thereby performing three-dimensional coordinate modeling. The feature lines are obtained using the coordinates of these two points.

[0059] Step 2, Combining Figure 5 This involves generating operational error coefficients for key structures, obtaining actual operational results for key structures, and acquiring actual parameters for the control steps of key structures, including:

[0060] One of the parameters of the control step is randomly set and used as the sample parameter of the control step.

[0061] Set the parameters of the manipulation steps as sample parameters, and obtain the sample movement distance and sample rotation angle of the feature lines of the key structures corresponding to the manipulation steps.

[0062] Repeat the previous step a preset number of times, and take the difference between the maximum and minimum values ​​of the sample movement distance to obtain the first error of the control step. Take the difference between the maximum and minimum values ​​of the sample rotation angle to obtain the second error of the control step.

[0063] The distance error is obtained by superimposing the first error of at least one control step of the critical structure, and the angle error is obtained by superimposing the second error of at least one control step of the critical structure. The distance error and the angle error are used as the operating error coefficient of the critical structure.

[0064] The operating error coefficient characterizes the error fluctuation under normal conditions. Therefore, in order to obtain this error, it is necessary to repeatedly acquire data using the same parameters to obtain the operating error coefficient.

[0065] Step 3: Using the simulation model, simulate the predicted operating results of the key structure. Based on the operating error coefficient, analyze the predicted operating results and the actual operating results to obtain the operating anomaly coefficient of the key structure.

[0066] Among them, combined Figure 6 The aforementioned simulation model is used to obtain the predicted operating results of the key structures, specifically as follows:

[0067] (1) Substitute the actual parameters of the control steps into the first simulation function corresponding to the control steps to obtain the first simulation result, and substitute the actual parameters of the control steps into the second simulation function corresponding to the control steps to obtain the second simulation result.

[0068] (2) The first simulation results of at least one control step of the key structure are superimposed to obtain the first prediction result of the key structure. The second simulation results of at least one control step of the key structure are superimposed to obtain the second prediction result of the key structure. The first prediction result and the second prediction result are summarized into the prediction operation result of the key structure.

[0069] Since there are multiple control steps in the critical structure, it is necessary to synthesize the results to obtain the predicted operating results of the critical structure. Superimposing the results of the first simulation function and the second simulation function will not affect the actual results, because if the critical structure is a gate, the second simulation function is 0 and the second predicted result is also 0. If the critical structure is a power station, the first simulation function is 0 and the first predicted result is also 0.

[0070] In addition, combined Figure 7 The process of obtaining the operational anomaly coefficient of the key structure includes:

[0071] In the actual operation results of the key structure, the actual movement distance and actual rotation angle of the feature line of the key structure are identified. The difference between the actual movement distance and the first prediction result is taken as the first difference. If the first difference does not exceed the distance error, the first anomaly coefficient is equal to 0. Otherwise, the first anomaly coefficient is equal to the first difference divided by the first prediction result.

[0072] The difference between the actual rotation angle and the second estimated result is taken as the second difference. If the second difference does not exceed the angle error, the second anomaly coefficient is equal to 0; otherwise, the second anomaly coefficient is equal to the second difference divided by the second estimated result.

[0073] The operational anomaly coefficient is equal to the sum of the first anomaly coefficient and the second anomaly coefficient.

[0074] For example, if the key structure is a gate, the feature line does not change angle, the actual rotation angle and the second prediction result are both 0, the second difference is equal to 0, the second anomaly coefficient is equal to 0, and therefore the operation anomaly coefficient is actually equal to the first anomaly coefficient.

[0075] If the critical structure is a power station, then the characteristic line does not change in distance, the actual movement distance is 0 and the first prediction result is 0, the first difference is equal to 0, then the first anomaly coefficient is equal to 0, therefore, the operational anomaly coefficient is actually equal to the second anomaly coefficient.

[0076] The abnormal operation coefficient will automatically select the first or second abnormal operation coefficient according to the type of critical structure. This is consistent with reality because, according to common sense, the error of the gate is the distance, so the first abnormal operation coefficient should be used, while the error of the power station is the rotation angle of the winding, so the second abnormal operation coefficient should be used. In other words, the same steps can be used for the abnormal operation coefficient of critical structures, without the need for classification.

[0077] Step 4: Develop safety assessment standards for the operation of critical structures. Under normal operating conditions, the movement distance of the feature line when the critical structure is running at maximum operating load is taken as the upper limit of the movement distance, and the rotation angle of the feature line is taken as the upper limit of the rotation angle.

[0078] Combination Figure 8 The maximum operating parameters of the key structure's control steps are obtained. Based on the operational simulation model and the operational anomaly coefficient of the key structure, the corrected operating results of the key structure under maximum operating load are predicted.

[0079] Substitute the maximum operating parameters of the control step into the first simulation function corresponding to the control step to obtain the first fitting result, and substitute the maximum operating parameters of the control step into the second simulation function corresponding to the control step to obtain the second fitting result.

[0080] The first fitting results of at least one manipulation step of the key structure are superimposed to obtain the first corrected result, and the second fitting results of at least one manipulation step of the key structure are superimposed to obtain the second corrected result.

[0081] The first correction result is superimposed with the second correction result to obtain the cumulative correction value. The cumulative correction value is multiplied by the abnormal operation coefficient to obtain the correction value. The cumulative correction value is superimposed with the correction value to obtain the corrected operation result.

[0082] It is easy to know that the maximum operating load of the critical structure corresponds to the setting of each control step according to the maximum operating parameters;

[0083] If the critical structure is a gate, the second correction result is 0, meaning the cumulative correction value is the first correction result. If the critical structure is a power station, the first correction result is 0, meaning the cumulative correction value is the second correction result. The cumulative correction value automatically selects either the first or second correction result based on the type of critical structure, thus eliminating the need for categorized calculation of the cumulative correction value for the critical structure. The cumulative correction value is the prediction result under normal conditions, but it is necessary to predict abnormalities under the maximum operating load based on the abnormal operation of the sluice gate hub, i.e., the correction value. Therefore, the corrected operating result can be obtained.

[0084] Step 5, Combining Figure 9 Based on safety assessment standards, determine whether there are any anomalies in the corrected operation results. If so, the sluice gate hub has a safety hazard; otherwise, no action is taken.

[0085] When the critical structure is a hydropower station, it is determined whether the difference between the corrected operation result of the critical structure and the upper limit of the rotation angle is greater than the angle error. If yes, the corrected operation result is abnormal; otherwise, the corrected operation result is not abnormal.

[0086] When the critical structure is not a hydropower station, it is determined whether the difference between the corrected operation result of the critical structure and the upper limit of the moving distance is greater than the distance error. If so, the corrected operation result is abnormal; otherwise, the corrected operation result is not abnormal.

[0087] Under maximum load, there is a certain degree of permissible fluctuation in operation. However, if the fluctuation is too large, it indicates that there is a deviation in control precision. Therefore, it can be considered that there is a potential fault in the current operation. If the potential fault is not repaired for a long time, it will further expand and lead to safety problems.

[0088] The present invention obtains the key structure of the sluice gate hub, establishes a simulation model of the operation steps, obtains the operational anomaly coefficient of the key structure, and predicts the corrected operation result of the key structure. Based on the current operation of the key structure of the sluice gate hub, the operational anomaly coefficient can be analyzed and obtained. Then, through simulation, the operational anomaly coefficient is used to predict the corrected operation result of the key structure under the maximum operating load, thereby determining whether there is anomaly in the corrected operation result under the maximum operating load. Thus, it can be determined whether the sluice gate hub can operate normally under any circumstances, thereby enabling early identification of potential faults and targeted treatment.

[0089] The embodiments described above are merely one implementation method of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for simulating and assessing the operational status and safety of a sluice gate hub based on digital twins, characterized in that, Includes the following steps: Obtain at least one key structure of the sluice gate hub, obtain at least one control step of the key structure during operation, and establish a simulation model of the function of the control step. The operational error coefficients of the key structures are generated, the actual operational results of the key structures are obtained, and the actual parameters of the control steps of the key structures are obtained. Using the simulation model, the predicted operating results of the key structure are obtained. Based on the operating error coefficient, the predicted operating results and the actual operating results are analyzed to obtain the operating anomaly coefficient of the key structure. Establish safety assessment standards for the operation of critical structures; Obtain the maximum operating parameters of the control steps of the key structure, and predict the corrected operating results of the key structure under the maximum operating load based on the operation simulation model and the operating anomaly coefficient of the key structure. Based on safety assessment standards, determine whether there are any abnormalities in the corrected operation results. If so, there are potential safety hazards in the sluice gate hub; otherwise, no action is taken.

2. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 1, characterized in that, The acquisition of at least one key structure of the sluice gate hub specifically refers to: The reference structure of the sluice gate hub includes a control gate, an intake gate, a flood discharge gate, a ship lock, or a hydroelectric power station, and at least one sample image of the control gate, intake gate, flood discharge gate, ship lock, and hydroelectric power station is pre-formed. The sample images are classified to form at least one sample image set, such that the sample images in the sample image set are of the same type of baseline structure; The sample image is uniformly divided into at least one sample block, and the sample blocks of the sample image are summarized into the feature set of the sample image. At least one scaling point is uniformly selected in the interval (0,1). The sample blocks are scaled down according to the scaling point values ​​to obtain control blocks. The control blocks formed by the sample blocks are then aggregated to form a scaled set of sample blocks. If the intersection of the scaled sets of two sample blocks is not an empty set, then the two sample blocks are considered to be the same; otherwise, the two sample blocks are considered to be different. Collect identical sample blocks to obtain a sample block set, and randomly select one sample block from the sample block set as the feature sample block; Replace the same sample block with the feature sample block. After the replacement is completed, take the intersection of the feature sets of the sample images in the sample image set to obtain the target set. Use the feature sample blocks in the target set as the recognition features of the reference structure corresponding to the sample image set. Obtain the actual image of the sluice gate hub, and divide the actual image into at least one actual block. If the identification features of the reference structure are all the same as those of one of the actual blocks, then the reference structure is regarded as the key structure of the sluice gate hub.

3. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 2, characterized in that, The at least one operational step for obtaining the key structure during runtime specifically includes: Obtain the historical operation process of the key structure, divide the historical operation process of the key structure into at least one local process, and satisfy the consistency of the operation parameters in the local process; The options that are adjusted in the operating parameters of the critical structures at the start of the local process are used as control steps.

4. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 3, characterized in that, The simulation model for establishing the control steps is specifically as follows: Obtain the parameter value range of the control step, evenly divide the parameter value range of the control step, and obtain at least one control point; The line connecting the center of the critical structure to any point on the surface of the critical structure is taken as the feature line; Under the condition that the parameters of the control step are equal to the control point, the movement distance and rotation angle of the feature line of the key structure are obtained, wherein the movement distance of the feature line is equal to the movement distance of the center of the key structure. The first simulation function is obtained by pairing and fitting the movement distance of the control point with the feature line, and the second simulation function is obtained by pairing and fitting the rotation angle of the control point with the feature line. The first and second simulation functions are used as the simulation model for the effects of the control steps.

5. The method for simulating and assessing the operational status and safety of a sluice gate hub based on digital twins according to claim 4, characterized in that, The aforementioned operating error coefficient is specifically as follows: One of the parameters of the control step is randomly set and used as the sample parameter of the control step. Set the parameters of the manipulation steps as sample parameters, and obtain the sample movement distance and sample rotation angle of the feature lines of the key structures corresponding to the manipulation steps. Repeat the previous step a preset number of times, and take the difference between the maximum and minimum values ​​of the sample movement distance to obtain the first error of the control step. Take the difference between the maximum and minimum values ​​of the sample rotation angle to obtain the second error of the control step. The distance error is obtained by superimposing the first error of at least one control step of the critical structure, and the angle error is obtained by superimposing the second error of at least one control step of the critical structure. The distance error and the angle error are used as the operating error coefficient of the critical structure.

6. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 4, characterized in that, The aforementioned simulation model is used to obtain the predicted operating results of the key structures, specifically as follows: Substitute the actual parameters of the control steps into the first simulation function corresponding to the control steps to obtain the first simulation result, and substitute the actual parameters of the control steps into the second simulation function corresponding to the control steps to obtain the second simulation result. The first simulation results of at least one control step of the critical structure are superimposed to obtain the first prediction result of the critical structure. The second simulation results of at least one control step of the critical structure are superimposed to obtain the second prediction result of the critical structure. The first prediction result and the second prediction result are combined to obtain the prediction result of the critical structure.

7. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 4, characterized in that, The operational anomaly coefficient of the key structure is obtained as follows: In the actual operation results of the key structure, the actual movement distance and actual rotation angle of the feature line of the key structure are identified. The difference between the actual movement distance and the first prediction result is taken as the first difference. If the first difference does not exceed the distance error, the first anomaly coefficient is equal to 0. Otherwise, the first anomaly coefficient is equal to the first difference divided by the first prediction result. The difference between the actual rotation angle and the second estimated result is taken as the second difference. If the second difference does not exceed the angle error, the second anomaly coefficient is equal to 0; otherwise, the second anomaly coefficient is equal to the second difference divided by the second estimated result. The operational anomaly coefficient is equal to the sum of the first anomaly coefficient and the second anomaly coefficient.

8. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 4, characterized in that, The safety assessment criteria for the formation of critical structural operation are as follows: Under normal operating conditions, the movement distance of the feature line when the critical structure is running at maximum operating load is taken as the upper limit of the movement distance, and the rotation angle of the feature line is taken as the upper limit of the rotation angle.

9. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 8, characterized in that, The predicted corrected operating results of the key structures under maximum operating load are as follows: Substitute the maximum operating parameters of the control step into the first simulation function corresponding to the control step to obtain the first fitting result, and substitute the maximum operating parameters of the control step into the second simulation function corresponding to the control step to obtain the second fitting result. The first fitting results of at least one manipulation step of the key structure are superimposed to obtain the first corrected result, and the second fitting results of at least one manipulation step of the key structure are superimposed to obtain the second corrected result. The first correction result is superimposed with the second correction result to obtain the cumulative correction value. The cumulative correction value is multiplied by the abnormal operation coefficient to obtain the correction value. The cumulative correction value is superimposed with the correction value to obtain the corrected operation result.

10. The method for simulating and assessing the operational status of a sluice gate hub based on digital twins according to claim 9, characterized in that, The determination of whether the correction result is abnormal is as follows: When the critical structure is a hydropower station, it is determined whether the difference between the corrected operation result of the critical structure and the upper limit of the rotation angle is greater than the angle error. If yes, the corrected operation result is abnormal; otherwise, the corrected operation result is not abnormal. When the critical structure is not a hydropower station, it is determined whether the difference between the corrected operation result of the critical structure and the upper limit of the moving distance is greater than the distance error. If so, the corrected operation result is abnormal; otherwise, the corrected operation result is not abnormal.

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