Gate station operation risk monitoring method and system based on digital twinning and storage medium
By collecting high-precision data and building a three-dimensional model at the historical collapse point of the gate station building, and using digital twin models for simulation and analysis, the problem of difficulty in realizing intelligent diagnosis and risk prediction in the existing technology is solved, and the accuracy and real-time monitoring of gate station operation risk are improved.
Patent Information
- Application Number
- CN202411764303.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-03-28
AI Technical Summary
The existing gate station operation risk monitoring methods are difficult to accurately establish models between complex factors, and cannot achieve intelligent diagnosis and risk prediction, which makes it difficult to detect potential safety hazards and structural damage in a timely manner.
The gate station operation risk monitoring method based on digital twins is adopted, and a high-precision data collection point is preset at the gate station building historical collapse point is used to build a three-dimensional model of the gate station building, and a digital twin model is used to simulate and reflect the real situation of physical entities, and similarity comparison and risk control are carried out.
It improves monitoring accuracy and real-time performance, improves risk warning and response capabilities, optimizes gate station operation and maintenance strategies, and reduces operating costs and risks.
Smart Images
Figure CN119721686A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of building risk monitoring, and more specifically to a gate station operation risk monitoring method, system and storage medium based on digital twins. Background Art
[0002] As a key node in water conservancy projects, sluice stations play a core role in flood control, drainage, irrigation, and water supply. For example, during flood season, sluices need to accurately control water levels to prevent floods from overflowing the embankments and causing disasters to surrounding towns and farmland. Safety monitoring can grasp the stress conditions of sluice station structures and the operating status of equipment in real time, and promptly discover potential safety hazards, such as uneven settlement of the sluice chamber and deformation of the gate, to avoid failure of water conservancy facilities due to structural damage.
[0003] Some coastal tidal gate stations have to withstand the repeated effects of tides and storm surges. Long-term seawater erosion and water flow impact may weaken the structural strength of the gate station. Through safety monitoring, these damages caused by natural factors can be discovered in time, and reinforcement or maintenance measures can be taken in advance to ensure the safe operation of the gate station in complex environments.
[0004] In summary, the safety of the sluice station is of vital importance, but the current data analysis still mainly relies on simple threshold judgment and statistical analysis methods. For the complex operation status and risk status of the sluice station, this analysis method is difficult to dig out the deep rules and potential risk factors. For example, the safety status of the sluice station structure may be affected by a variety of factors (such as water flow load, structural aging, foundation settlement, etc.). The existing analysis technology is difficult to accurately establish a complex model between these factors, and it is impossible to achieve true intelligent diagnosis and risk prediction. Summary of the invention
[0005] In view of this, the present invention provides a gate station operation risk monitoring method, system and storage medium based on digital twins, which have significant beneficial effects in improving monitoring accuracy and real-time performance, enhancing risk warning and response capabilities, optimizing gate station operation and maintenance strategies, and reducing operating costs and risks.
[0006] In order to achieve the above object, the present invention adopts the following technical solution:
[0007] A gate station operation risk monitoring method based on digital twins includes the following steps:
[0008] Step 1: Preset data collection points according to the historical collapse points of the gate station building, and place data collection devices at the data collection points to complete self-calibration and self-leveling, and collect relevant data of the gate station building in sequence;
[0009] Step 2: construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the twin structure of the gate station building;
[0010] Step 3: Compare the similarity between the twin structure of the gate station building and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety test is completed and the test result is qualified;
[0011] Step 4: Collect relevant data of the gate station building at preset time intervals, build a three-dimensional model of the gate station, and update the twin structure of the gate station building. Return to step 3 and perform the next gate station safety check. If the similarity is lower than the preset threshold, initiate risk control.
[0012] Optionally, when risk control is initiated, the risk type is determined based on the twin structures of the gate station building, including structural risk and environmental risk; if it is a structural risk, the leakage severity assessment coefficient and the difference in leakage overlap area allowed for the gate station building under safe conditions are determined in combination with the data acquisition device, and corresponding strategies are formulated; if it is an environmental risk, meteorological data is used to determine whether to discharge flood water.
[0013] Optionally, the gate station related data include three-dimensional basic image data, environmental data and building planning data; the three-dimensional basic image data include overall deformation data, relative settlement data, tilt data and crack data.
[0014] Optionally, in step three, a similarity comparison is performed between the gate station building twin structure and the standard gate station structure data, including the following steps:
[0015] Collect the geometric shape, physical properties and functional characteristics of the twin structure of the gate station building, and extract the structural feature data as the first feature after completing data cleaning;
[0016] The standard features of the standard gate station structure data are extracted, and the standard features are compared with the first features using cosine similarity to obtain the similarity value.
[0017] Optionally, in step 2, constructing the three-dimensional model of the gate station building includes the following steps:
[0018] According to the 3D basic image data of the gate station building, the structural surface model and risk point hierarchy model of the gate station building are constructed, the correlation between the structural surface model and the risk point hierarchy model is analyzed, and the 3D basic model of the gate station building is obtained with the building planning data as the constraint condition;
[0019] The three-dimensional basic model of the gate station building is supplemented according to the environmental data of the gate station building to obtain a three-dimensional model of the gate station building.
[0020] Optionally, the environmental data includes the evolution process of sudden water disasters. The specific acquisition process is: based on MIDAS GTS NX finite element software, fluid-solid coupling analysis is adopted, and the evolution process of sudden water disasters is analyzed from the perspectives of hydrological engineering geology, displacement field, stress field and seepage field based on the sudden water accidents of the sluice station buildings to be evaluated.
[0021] A gate station operation risk monitoring system based on digital twin, including:
[0022] The gate station building related data collection module is used to preset data collection points according to the historical collapse points of the gate station building. The data collection device is arranged at the data collection point to complete self-calibration and self-leveling, and collect the relevant data of the gate station building in sequence;
[0023] The gate station building twin structure construction module is used to construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the gate station building twin structure;
[0024] Gate station safety detection module: used to compare the similarity between the gate station building twin structure and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety detection is completed and the detection result is qualified;
[0025] Gate station building twin structure update module: used to collect relevant data of gate station buildings at preset time intervals, build a three-dimensional model of the gate station to update the twin structure of the gate station building, return to the previous module, and perform the next gate station safety test. If the similarity is lower than the preset threshold, risk control is initiated.
[0026] A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any one of the steps of a gate station operation risk monitoring method based on digital twins.
[0027] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a gate station operation risk monitoring method, system and storage medium based on digital twins, which have the following beneficial effects:
[0028] 1. By presetting data collection points at the historical collapse points of the gate station building and using a high-precision data collection device for data collection, the accuracy and representativeness of the data can be ensured. The self-calibration and self-leveling functions of the data collection device further improve the accuracy of data collection and reduce errors. At the same time, the present invention can monitor the relevant data of the gate station building in real time, and construct a three-dimensional model for simulation analysis, so as to timely discover potential risks. Through the real-time synchronization of the digital twin model and the physical entity, the real situation of the gate station building can be quickly reflected, and the real-time monitoring can be improved.
[0029] 2. Through the simulation analysis of the gate station building by the digital twin model, the operation strategy of the gate station can be optimized, such as adjusting the water level, flow and other parameters to improve the operation efficiency and safety of the gate station. According to the simulation results of the digital twin model, the maintenance needs of the gate station building can be predicted and the maintenance plan can be formulated in advance. By regularly updating the gate station building twin structure, the status of the gate station building can be continuously monitored and maintained, extending the service life of the gate station. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0031] Figure 1 It is a schematic diagram of the method flow of the present invention;
[0032] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION
[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0034] The embodiment of the present invention discloses a gate station operation risk monitoring method based on digital twin, such as Figure 1 As shown, the following steps are included:
[0035] Step 1: Preset data collection points according to the historical collapse points of the gate station building, and place data collection devices at the data collection points to complete self-calibration and self-leveling, and collect relevant data of the gate station building in sequence;
[0036] Step 2: construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the twin structure of the gate station building;
[0037] Step 3: Compare the similarity between the twin structure of the gate station building and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety test is completed and the test result is qualified;
[0038] Step 4: Collect relevant data of the gate station building at preset time intervals, build a three-dimensional model of the gate station, and update the twin structure of the gate station building. Return to step 3 and perform the next gate station safety check. If the similarity is lower than the preset threshold, initiate risk control.
[0039] Furthermore, when risk control is initiated, the risk type is determined based on the twin structure of the gate station building, including structural risk and environmental risk; if it is a structural risk, the leakage severity assessment coefficient and the difference in leakage overlap area allowed by the gate station building under safe conditions are determined in combination with the data acquisition device, and corresponding strategies are formulated; if it is an environmental risk, meteorological data is combined to determine whether to discharge the flood. The core of the leakage monitoring system lies in the application of integrated sensors and data collectors. The sensors are responsible for collecting leakage data (such as seepage volume, pore water pressure, temperature, etc.) at key locations in real time, while the data collector is responsible for transmitting these data to the processing center in real time.
[0040] Furthermore, the leakage overlap area refers to the part where multiple leakage points or leakage areas overlap each other in space. In the gate station building, the size of the leakage overlap area is directly related to the stability and safety of the structure.
[0041] When conducting a safety assessment of a sluice station building, multiple factors should be considered, including its structural characteristics, usage conditions, environmental conditions, etc. The impact of leakage on structural stability can be assessed through structural analysis, seepage calculation, and other means.
[0042] Allowable leakage overlap area difference: Under the premise of ensuring structural safety, a range of allowable leakage overlap area difference can be set. This range should be determined according to specific engineering conditions, design requirements and safety standards. Once the actual leakage overlap area exceeds this range, measures should be taken immediately for repair and reinforcement.
[0043] The data acquisition device is used to monitor the leakage in real time. When the overlapping area of leakage approaches or exceeds the allowable range, the system should be able to automatically issue an early warning. The early warning information should include the location, degree and possible impact range of the leakage, so that the management personnel can take timely measures to respond.
[0044] Furthermore, the gate station related data include three-dimensional basic image data, environmental data and building planning data; the three-dimensional basic image data include overall deformation data, relative settlement data, tilt data and crack data.
[0045] Furthermore, in step three, the gate station building twin structure and the standard gate station structure data are compared for similarity, including the following steps:
[0046] Collect the geometric shape, physical properties and functional characteristics of the twin structure of the gate station building, and extract the structural feature data as the first feature after completing data cleaning;
[0047] The standard features of the standard gate station structure data are extracted, and the standard features are compared with the first features using cosine similarity to obtain the similarity value.
[0048] Furthermore, in step 2, constructing the three-dimensional model of the gate station building includes the following steps:
[0049] According to the 3D basic image data of the gate station building, the structural surface model and risk point hierarchy model of the gate station building are constructed, the correlation between the structural surface model and the risk point hierarchy model is analyzed, and the 3D basic model of the gate station building is obtained with the building planning data as the constraint condition;
[0050] The three-dimensional basic model of the gate station building is supplemented according to the environmental data of the gate station building to obtain a three-dimensional model of the gate station building.
[0051] Furthermore, the environmental data include the evolution process of sudden water disasters. The specific acquisition process is: based on MIDAS GTSNX finite element software, fluid-solid coupling analysis is adopted, and the sudden water disaster of the sluice station building to be evaluated is used as the basis to analyze the evolution process of sudden water disasters from the perspectives of hydrological engineering geology, displacement field, stress field and seepage field.
[0052] In this embodiment, the following technical solutions can also be used to predict the safety risks of the gate station:
[0053] A historical model corresponding to the twin building is read from a pre-constructed building model database, wherein the historical model includes a dangerous gate station building model and a safe gate station building model; wherein the building model database refers to a database that constructs a corresponding building model of the gate station building to be detected in advance based on the monitoring data of each dangerous gate station building and the monitoring data of the safe gate station building, and stores the building type according to the type of the gate station building to be detected, and the historical model is used to compare with the constructed twin building to determine which building type the constructed twin building belongs to, and when the building type is determined, data prediction is performed on the gate station building to be detected;
[0054] Calculate the similarity between the dangerous gate station building and the twin building to obtain a first similarity value, and calculate the similarity between the safe gate station building and the twin building to obtain a second similarity value; compare the first similarity value with the second similarity value to determine a historical model with a large similarity value to the twin building; perform data trend prediction on the building to be monitored based on the model with a large similarity value of the twin building in combination with the twin building, and send an alarm message when the predicted value of the data trend prediction is greater than a preset threshold.
[0055] and Figure 1 Corresponding to the method shown, the present invention also discloses a gate station operation risk monitoring system based on digital twin for Figure 1 The implementation of the method, the specific structure is as follows Figure 2 As shown, including:
[0056] The gate station building related data collection module is used to preset data collection points according to the historical collapse points of the gate station building. The data collection device is arranged at the data collection point to complete self-calibration and self-leveling, and collect the relevant data of the gate station building in sequence;
[0057] The gate station building twin structure construction module is used to construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the gate station building twin structure;
[0058] Gate station safety detection module: used to compare the similarity between the gate station building twin structure and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety detection is completed and the detection result is qualified;
[0059] Gate station building twin structure update module: used to collect relevant data of gate station buildings at preset time intervals, build a three-dimensional model of the gate station to update the twin structure of the gate station building, return to the previous module, and perform the next gate station safety test. If the similarity is lower than the preset threshold, risk control is initiated.
[0060] Finally, this embodiment discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, any step of a gate station operation risk monitoring method based on digital twins is implemented.
[0061] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0062] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A gate station operation risk monitoring method based on digital twin, characterized in that: The following steps are involved: Step 1: Preset data collection points according to the historical collapse points of the gate station building, and place data collection devices at the data collection points to complete self-calibration and self-leveling, and collect relevant data of the gate station building in sequence; Step 2: construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the twin structure of the gate station building; Step 3: Compare the similarity between the twin structure of the gate station building and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety test is completed and the test result is qualified; Step 4: Collect relevant data of the gate station building at preset time intervals, build a three-dimensional model of the gate station, and update the twin structure of the gate station building. Return to step 3 and perform the next gate station safety check. If the similarity is lower than the preset threshold, initiate risk control.
2. According to a method for monitoring gate operation risks based on digital twins according to claim 1, it is characterized in that: When risk control is initiated, the risk type is determined based on the twin structures of the gate station building, including structural risk and environmental risk; If it is a structural risk, the data acquisition device is used to determine the leakage severity assessment coefficient and the difference in leakage overlap area allowed for the sluice station building under safe conditions, and corresponding strategies are formulated. If it is an environmental risk, meteorological data is used to determine whether to discharge floodwater.
3. According to a method for monitoring gate operation risks based on digital twins according to claim 1, it is characterized in that: The gate station related data include three-dimensional basic image data, environmental data and building planning data; the three-dimensional basic image data include overall deformation data, relative settlement data, tilt data and crack data.
4. The gate station operation risk monitoring method based on digital twin according to claim 1 is characterized in that: In step three, the similarity comparison between the gate station building twin structure and the standard gate station structure data is performed, including the following steps: Collect the geometric shape, physical properties and functional characteristics of the twin structure of the gate station building, and extract the structural feature data as the first feature after completing data cleaning; The standard features of the standard gate station structure data are extracted, and the standard features are compared with the first features using cosine similarity to obtain the similarity value.
5. The gate station operation risk monitoring method based on digital twin according to claim 1 is characterized in that: In step 2, constructing the 3D model of the gate station building includes the following steps: According to the 3D basic image data of the gate station building, the structural surface model and risk point hierarchy model of the gate station building are constructed, the correlation between the structural surface model and the risk point hierarchy model is analyzed, and the 3D basic model of the gate station building is obtained with the building planning data as the constraint condition; The three-dimensional basic model of the gate station building is supplemented according to the environmental data of the gate station building to obtain a three-dimensional model of the gate station building.
6. The method for monitoring the operation risk of a sluice station based on digital twin according to claim 3 is characterized in that: Environmental data include the evolution process of sudden water disasters. The specific acquisition process is as follows: based on MIDAS GTS NX finite element software, fluid-solid coupling analysis is adopted, and the evolution process of sudden water disasters is analyzed from the perspectives of hydrological engineering geology, displacement field, stress field and seepage field, based on the sudden water accidents of the sluice station buildings to be evaluated.
7. A gate station operation risk monitoring system based on digital twin, characterized in that: include: The gate station building related data collection module is used to preset data collection points according to the historical collapse points of the gate station building. The data collection device is arranged at the data collection point to complete self-calibration and self-leveling, and collect the relevant data of the gate station building in sequence; The gate station building twin structure construction module is used to construct a three-dimensional model of the gate station building based on the relevant data of the gate station building, and input the three-dimensional model of the gate station building into the pre-trained digital twin model, so that the digital twin model simulates and reflects the real situation of the physical entity, and obtains the gate station building twin structure; Gate station safety detection module: used to compare the similarity between the gate station building twin structure and the standard gate station structure data. If the similarity is within the preset threshold, the gate station safety detection is completed and the detection result is qualified; Gate station building twin structure update module: used to collect relevant data of gate station buildings at preset time intervals, build a three-dimensional model of the gate station to update the twin structure of the gate station building, return to the previous module, and perform the next gate station safety test. If the similarity is lower than the preset threshold, risk control is initiated.
8. A computer storage medium, characterized in that: The computer storage medium stores a computer program, and when the computer program is executed by the processor, the steps of a gate station operation risk monitoring method based on digital twins as described in any one of claims 1 to 6 are implemented.