Power transmission and transformation engineering construction simulation method based on digital twinning
By simulating the dynamic behavior of construction equipment using digital twin models and physics engines, this technology solves the problem of not being able to accurately simulate construction equipment in real physical environments. It enables the prediction of the dynamic behavior of construction equipment and the impact of accidents, thereby reducing construction safety hazards.
Patent Information
- Application Number
- CN202510324917.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-19
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2045-03-19
AI Technical Summary
Existing technologies cannot accurately simulate the dynamic behavior of construction equipment in real physical environments, cannot effectively predict accidents and their impacts, and lack an immersive risk experience, making it difficult to reduce construction safety hazards.
By constructing a digital twin model and combining it with a physics engine to simulate the dynamic behavior of construction equipment, calculating collision impulse and friction, assessing associated risk indices, simulating oil leaks and combustion scenarios, and providing immersive interactive scenarios to predict future risks.
It enables accurate simulation of the dynamic behavior of construction equipment in a real environment, predicts the impact of accidents, improves users' ability to experience risks in a virtual environment, and reduces safety hazards in the real world.
Smart Images

Figure CN119849213B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of engineering construction simulation technology, specifically to a method for simulating the construction of power transmission and transformation projects based on digital twins. Background Technology
[0002] During the construction and operation of power transmission and transformation projects, there are many challenges in the disassembly, installation, maintenance and accident response of construction equipment. Traditional methods mainly rely on two-dimensional design drawings, human experience and basic physical simulation for operation guidance, which makes it difficult to accurately predict dynamic risks during construction. In particular, when critical accidents such as abnormal disassembly, equipment collisions and oil leaks occur, existing technical means are difficult to provide real-time feedback and pre-response mechanisms.
[0003] Therefore, the existing shortcomings include:
[0004] Lacking real-time dynamic simulation, current power transmission and transformation engineering construction simulation is usually based on BIM (Building Information Modeling). However, BIM focuses on structural and information management and lacks deep integration with the physics engine, making it unable to accurately simulate the dynamic behavior of construction equipment in the real physical environment (such as collision, sliding, and damage).
[0005] Traditional safety analysis, based on historical data and empirical rules, cannot effectively predict accidents and their impacts. It cannot predict equipment damage caused by misoperation, mutual influence between construction equipment, and possible chain accidents before construction.
[0006] The lack of immersive risk experience means that existing construction training and risk avoidance strategies mainly rely on text, images, or 2D videos, which are difficult to combine with future work scenarios to provide an immersive experience. As a result, users are unable to perceive potential risks in advance in the real world in the future, thus failing to improve their decision-making ability and reduce safety hazards. Summary of the Invention
[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a simulation method for power transmission and transformation engineering construction based on digital twins, which can effectively solve the problem that the existing technology cannot accurately simulate the dynamic behavior of construction equipment in the real physical environment, making it difficult to apply it to the real world and unable to reduce the safety hazards of users in the real world.
[0008] To achieve the above objectives, the present invention provides the following technical solution:
[0009] This invention provides a simulation method for the construction of power transmission and transformation projects based on digital twins, comprising the following steps:
[0010] By combining the 3D model of power transmission and transformation projects with environmental data, a digital twin model is constructed, defining immersive interactive scenarios;
[0011] To determine whether a user will perform disassembly, assembly, or maintenance work on power transmission and transformation equipment in the future, if the user does perform such work in the future, then:
[0012] The immersive interactive scene combines a physics engine to simulate abnormal disassembly and assembly scenarios when virtual construction equipment is disassembled and assembled by a robotic arm and collides with the virtual ground, including:
[0013] The collision impulse is calculated and the relative velocity components are updated by using the relative velocity components of the virtual construction equipment and the virtual ground in the collision normal direction. The rebound intensity is controlled based on the rebound coefficient to simulate the running state of the virtual construction equipment during the collision. Furthermore, the frictional force affects the tangential velocity to simulate frictional damping, thus simulating the virtual construction equipment gradually stopping on the virtual ground.
[0014] Based on the abnormal disassembly and assembly scenario, the associated impact factors on other virtual construction equipment are defined. The associated risk index is calculated based on the associated impact factors. The associated risk index is combined with the damage index to calculate the impact of virtual construction equipment on other virtual construction equipment, thereby realizing the simulation of associated virtual impact scenarios.
[0015] When the virtual construction equipment is a transformer:
[0016] Based on the damage index, it is determined whether transformer oil leakage is triggered. If it is triggered, the electrical damage index of the transformer in the collision is defined. The oil leakage and electrical damage index are combined to simulate and associate virtual combustion scenarios. Based on abnormal disassembly and assembly scenarios, associated virtual impact scenarios, and associated virtual combustion scenarios, a pre-response for disassembly and maintenance operations in the real world in the future is realized.
[0017] Furthermore, the method for determining environmental data is as follows:
[0018] To obtain the future location information of power transmission and transformation projects in the real world;
[0019] Determine the corresponding environmental data for the location information, including temperature and humidity data, air pollution data, wind speed data, and rainfall and snowfall data.
[0020] The system determines whether an abnormal disassembly / assembly process is triggered based on the position of the robotic arm holding the virtual construction equipment. If triggered, the abnormal disassembly / assembly scenario is simulated.
[0021] The abnormal disassembly and assembly scenario also includes a simulated transformer free fall trajectory, specifically:
[0022] Calculate its instantaneous velocity and position using the gravity update formula:
[0023]
[0024] in, Indicates the transformer in time Instantaneous velocity at time This indicates the initial position of the transformer when it is in the robotic arm. Represents gravitational acceleration. Indicates the time since the start of free fall. Indicates the transformer in time The position at that time This indicates the initial velocity of the transformer when it detaches from the robotic arm;
[0025] The physics engine updates the instantaneous velocity and position of the transformer using a gravity update formula at each simulation time step to simulate the transformer's free fall trajectory.
[0026] Furthermore, by setting collision bodies for the transformer, robotic arm, and virtual ground respectively, a collision event is triggered when the transformer falls onto the virtual ground, and collision response calculation is performed. This simulates the gradual stopping of the virtual construction equipment through the calculation of friction and tangential velocity, thereby simulating abnormal disassembly and assembly scenarios.
[0027] The method for calculating the frictional force is as follows:
[0028] Calculate the relative velocity components of the transformer with respect to the virtual ground in the collision normal direction before the collision. ;
[0029] Utilizing collision impulse Update the relative velocity components of the transformer as follows:
[0030]
[0031] Indicates virtual ground quality. Indicates the rebound coefficient. Indicates the quality of the transformer;
[0032] After the collision, the relative velocity components are updated to :
[0033]
[0034] After the collision, regarding friction... Then we have:
[0035] , Indicates the duration of the collision process. This represents the coefficient of friction, describing the frictional characteristics between the transformer and the virtual ground.
[0036] Furthermore, the tangential velocity is obtained through the initial velocity. The update is as follows:
[0037]
[0038] Therefore, the updated tangential velocity is obtained. :
[0039]
[0040] It represents the tangential impulse generated by friction during the collision.
[0041] Furthermore, based on the associated impact factors, an associated risk index is calculated. This associated risk index, combined with damage indicators, is used to calculate the impact of virtual construction equipment on other virtual construction equipment. The specific solution is as follows:
[0042] Define the correlation influence factor , This indicates the distance from the transformer collision center to other virtual devices;
[0043] Definition of the first Associated risk index of other affected virtual devices , Indicates the original risks of other virtual devices. Indicates the proportionality coefficient;
[0044] Combining transformer damage indicators Risk index related to other virtual devices Obtain the overall risk index :
[0045]
[0046] Indicates the basic risk value. This represents the damage weighting coefficient. This indicates the number of other affected virtual devices, based on the overall risk index. The impact on other virtual construction equipment was obtained.
[0047] Furthermore, the method for simulating and associating virtual combustion scenarios is as follows:
[0048] Define electrical damage index ;
[0049] If electrical damage index An electric arc or spark is triggered if the electrical abnormality threshold is exceeded.
[0050] Calculate ignition energy , Indicates the proportionality coefficient;
[0051] When the oil concentration in the oil leak area Reaching the concentration threshold, combined with ignition energy The following conditions are met:
[0052] , This represents the minimum ignition energy required at a given oil concentration to trigger the associated virtual combustion scenario.
[0053] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.
[0054] The technical solution provided by this invention has the following advantages compared with the known prior art:
[0055] When misoperation occurs during disassembly and assembly (such as the robotic arm not being precisely aligned with the center of gravity of the equipment, insufficient clamping force, etc.), the simulation system can calculate the changes in the forces on the virtual construction in real time and determine whether there is a possible abnormal situation of falling or collision. When a collision occurs, the system calculates the impact impulse based on the relative velocity, controls the bouncing behavior of the virtual construction after the collision by combining the rebound coefficient, and uses friction to simulate tangential motion to ensure the reasonable movement trajectory of the virtual construction equipment on the virtual ground.
[0056] By calculating the correlation impact factors, a multi-level impact assessment model for virtual construction collisions is constructed to solve the problem that traditional simulation technology can only analyze individual equipment and cannot effectively predict cascading failures. After a collision occurs, the system calculates the damage index of the equipment based on the quality, structural stiffness and impulse of the virtual construction, and assesses whether the surrounding equipment may be subject to secondary impacts through the impact factor attenuation model (impulse / distance squared).
[0057] Immersive interactive scenarios and future time pre-response mechanisms allow users to experience potential construction risks in advance in a virtual environment, receive early warnings of potentially dangerous operations, and be provided with optimization suggestions. This enables construction workers to identify risks before actual operations, improve their ability to respond promptly and make decisions, and avoid risks. Attached Figure Description
[0058] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.
[0059] Figure 1 This is a schematic diagram of the overall method of the present invention. Detailed Implementation
[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0061] The present invention will be further described below with reference to embodiments.
[0062] Example 1 (see Figure 1 The simulation method for power transmission and transformation engineering construction based on digital twins includes at least the following steps:
[0063] Obtain the preset power transmission and transformation engineering drawing data, and construct a three-dimensional model of the power transmission and transformation project through BIM model, covering key components such as buildings, tower cranes, transmission towers, and construction buildings of the power transmission and transformation project;
[0064] Obtain the future location information of the power transmission and transformation project in the real world, determine the corresponding environmental data under the current location information in the real world, including temperature and humidity data, air pollution data, wind data, rain and snow data, etc., and perform dynamic simulation of environmental data during the construction process on the 3D model to generate a digital twin model;
[0065] Thus, a preliminary simulation of power transmission and transformation engineering construction is achieved. It is worth noting that the simulation here uses environmental data corresponding to the future location information of the power transmission and transformation project in the real world. The resulting digital twin model can be continuously updated based on actual construction data and simulation results, so that the digital twin model always remains consistent with the physical system. (Any changes that occur during the construction process, such as equipment status, resource scheduling, construction progress, environmental parameters, etc., will be updated in real time to the digital twin model through data acquisition, transmission and processing, thereby ensuring that the digital twin model is always synchronized with the physical system in the real world.)
[0066] Furthermore, it also includes:
[0067] Immersive interactive scenarios can be built based on digital twin models (using virtual reality or augmented reality devices) to enable users to experience the operational status of power transmission and transformation engineering construction sites in real time. This allows users to obtain detailed engineering data and safety warning information based on their actual experience of the operational status.
[0068] Furthermore, in order to combine the current immersive interactive scenario with the user's actual physical examination, and to simulate construction while predicting the operational risks the user will face during the construction of power transmission and transformation projects in the real world at a future time, thereby reducing potential safety hazards for the user, the following steps are also included:
[0069] To determine whether a user will perform disassembly, assembly, or maintenance work on power transmission and transformation equipment in the future in the real world, if so:
[0070] The immersive interactive scene, combined with a physics engine, simulates abnormal disassembly and assembly scenarios that occur when virtual construction equipment (transformers) is disassembled and assembled by a robotic arm (such as a user-operated lifting robotic arm). During the simulation, it also simulates scenarios where the virtual construction equipment collides due to misoperation and loss of assisted positioning. The specific simulation construction method is as follows:
[0071] During normal operation, the robotic arm follows the preset ideal receiving position. Calculation error , This indicates the actual position where the robotic arm should be holding the virtual construction equipment. If the value exceeds the threshold, the erroneous operation trigger condition is met. At this time, the robotic arm's assisted positioning fails, the system disconnects the virtual connection (assisted positioning), and triggers the abnormal disassembly and assembly process.
[0072] If the virtual construction equipment is a transformer, then the following steps are performed:
[0073] The transformer begins its free fall from its current position. Calculate its instantaneous velocity and position using the gravity update formula:
[0074]
[0075] in, Indicates the transformer in time Instantaneous velocity at time This indicates the initial position of the transformer when it is in the robotic arm. Represents gravitational acceleration. Indicates the time since the start of free fall. Indicates the transformer in time The position at that time This represents the initial velocity of the transformer when it detaches from the robotic arm. The physics engine updates the instantaneous velocity and position of the transformer using the above formula at each simulation time step, thereby simulating the free fall trajectory of the transformer.
[0076] Subsequently, colliders are set for the transformer, the robotic arm, and the virtual ground. These colliders approximate the actual object's shape with a simplified form (e.g., a box or sphere) to detect whether they are in contact. Therefore, when the transformer falls onto the virtual ground, the physics engine triggers a collision event, and the collision response is calculated.
[0077] Calculate the relative velocity components of the transformer with respect to the virtual ground in the collision normal direction before the collision. ;
[0078] Based on the rebound coefficient (Describe the degree of velocity reversal after the collision) and the mass of the transformer. Utilizing the impact momentum Update the relative velocity components of the transformer as follows:
[0079]
[0080] in, Indicates virtual ground quality, due to The impact is significant, suggesting that the transformer absorbs most of the shock.
[0081] After the collision, the relative velocity component of the transformer in the normal direction is updated to... :
[0082]
[0083] in, This represents the relative velocity component in the normal direction after the collision, which ensures that the rebound effect meets expectations;
[0084] After the collision, in addition to the normal impulse, friction will also be generated, causing the transformer's tangential (parallel to the virtual ground) motion to decay. The calculation is as follows:
[0085]
[0086] Indicates the duration of the collision process. This represents the coefficient of friction, describing the frictional characteristics between the transformer and the virtual ground.
[0087] Friction will generate a frictional impulse in the tangential direction, causing the transformer's tangential velocity to decrease. Let the initial velocity of the transformer in the tangential direction after the collision be... Then the tangential impulse generated by friction during the collision for:
[0088]
[0089] Then, update the tangential velocity. :
[0090]
[0091] Friction reduces tangential velocity, causing the equipment to gradually stop after the collision. Therefore, after the entire accident response process is completed, the deformation, cracks, and rupture of the shell or tank caused by the impact are recorded. The degree of damage can be determined based on simulation algorithms (such as finite element method, fault tree analysis, etc., which will not be elaborated here). This enables accurate simulation of the virtual transformer's post-collision state and the entire abnormal disassembly and assembly scenario, providing quantitative data for subsequent risk assessment.
[0092] It should be noted that in abnormal disassembly and assembly scenarios, and when reflecting the risk of collisions with virtual construction equipment, the system can simultaneously acquire the associated virtual impacts on other nearby virtual equipment when the virtual construction equipment collides with the virtual ground. This allows for the observation of the immersive interactive scenario corresponding to the entire power transmission and transformation project construction, effectively improving the fit of the entire immersive interactive scenario with the real world. Furthermore, this enables users to anticipate the risk of abnormal disassembly and assembly scenarios and implement corresponding risk avoidance measures during subsequent power transmission and transformation project construction in the real world, as detailed below:
[0093] Determine the total deformation area, number of cracks, crack area, and number of rupture points of the transformer casing and tank after the collision, and calculate the damage index using weighted average. ;
[0094] Define the correlation influence factor , This represents the distance from the transformer collision center to other virtual devices, and is related to the influencing factor. This describes the intensity of the impact of a collision on other virtual devices in the vicinity. Virtual areas that are closer to the impact experience a greater impact, and the impact decreases with the square of the distance.
[0095] Definition of the first Associated risk index of other affected virtual devices , Indicates the original risks of other virtual devices. Indicates the proportionality coefficient;
[0096] Combining transformer damage indicators with the risk index of correlation with other virtual devices Obtain the overall risk index :
[0097]
[0098] in, Indicates the basic risk value. This represents the damage weighting coefficient. This indicates the number of other affected virtual devices, based on the overall risk index. The simulation of the impact of a transformer collision on surrounding virtual devices creates a related virtual impact scenario. Since the triggered abnormal disassembly and assembly scenario is based on whether the user will perform disassembly and maintenance work on power transmission and transformation engineering equipment in the future in the real world, when the user leaves the immersive interactive scenario and returns to the real world to perform disassembly and maintenance work on power transmission and transformation engineering, the user can intuitively understand the accident risks based on the abnormal disassembly and assembly scenario and the related virtual impact scenario in the immersive interactive scenario, which is beneficial for predicting and avoiding risks in subsequent real-world operations.
[0099] Furthermore, under the abnormal disassembly and assembly scenarios obtained above, we can obtain various virtual ground surfaces when the virtual ground is subjected to collisions. Simultaneously, we can simulate the deformation, cracks, and rupture of the transformer oil tank, which leads to the diffusion of oil. This is a related virtual impact scenario. This coupled simulation helps to assess the subsequent risks of accidents in future real-world power transmission and transformation engineering construction and facilitates the formulation of corresponding control plans.
[0100] Correspondingly, if multiple related virtual impact scenarios are obtained, and these scenarios are distributed across different virtual regions, meaning each of the multiple related virtual impact scenarios corresponds to a different virtual region:
[0101] In corresponding related virtual impact scenarios, when the collision of virtual construction equipment (transformer) causes oil leakage to expand, the simulation shows that the electrical components inside the virtual construction equipment (such as high-voltage components or connecting terminals inside the transformer) come into contact with the virtual ground or other metal parts after the collision, and an electric arc or spark is formed due to the damage to the insulation layer. The simulation simulates the collision between the oil leakage and the electric arc or spark, resulting in a related virtual combustion scenario, providing a comprehensive and realistic related virtual combustion scenario.
[0102] The specific method for simulating and associating virtual combustion scenarios is as follows:
[0103] If damage index If the damage threshold is exceeded, the fuel tank is considered ruptured. Simulating an oil leak and describing the oil diffusion process on a virtual surface, we have:
[0104]
[0105] in, Indicates time and location The oil concentration at that location, This represents the oil diffusion coefficient, reflecting the rate at which the oil diffuses. This indicates local flow velocity, such as localized movement caused by gravity or other environmental factors. The source term describes the continuous leakage of oil at the rupture point. This diffusion equation is used to simulate the diffusion of oil over time on a virtual surface, thus forming the spatial distribution of oil coverage and infiltration.
[0106] Based on the above, during a collision, high-voltage components or connection terminals inside the transformer may be damaged due to contact with the virtual ground or other metal parts. Therefore, an electrical damage index is defined. This indicator can be estimated by the temperature rise or the magnitude of local electric field anomalies caused by the collision;
[0107] Among them, if electrical damage index If the electrical anomaly threshold is exceeded, triggering an arc or spark, then the ignition energy is calculated. Ignition energy This describes the energy released by an electric arc or spark after a collision due to damage to its internal electrical system, providing the initial energy input for oil ignition. Indicates the proportionality coefficient;
[0108] When the oil concentration in the oil leak area Reaching the concentration threshold, plus ignition energy The following conditions are met:
[0109] , Indicates oil concentration The minimum ignition energy required is determined by the spark energy. Therefore, combustion is triggered when the spark energy is sufficient to ignite a high-concentration oil. Once the ignition conditions are met, the combustion simulation stage begins. This stage uses a chemical reaction coupled with fluid dynamics model to describe the evolution of flame propagation, heat release, and temperature field, as detailed below:
[0110] The combustion process is described using Arrheniu reaction kinetics to depict the chemical reaction rate of the leaked oil with oxygen:
[0111]
[0112] in, Indicates the pre-reaction factor. Indicates the mass fraction of the oil. They represent the kinetic indices, Indicates activation energy. Represents the gas constant. Indicates the gas phase temperature of the combustion zone. It represents the mass fraction of oxygen, describes the reaction rate between oil and oxygen, and determines the combustion rate and the rate of oil consumption.
[0113] Combustion releases heat, causing the temperature to rise. The energy equation is as follows:
[0114]
[0115] in, It represents the density of the fluid (the density of the combustion gases, which is affected by temperature and the combustion reaction). This represents the specific heat capacity at constant pressure. The thermal conductivity of combustion gases indicates their ability to affect heat diffusion. It represents the amount of heat released per unit volume during combustion and describes the heat transfer during the combustion process;
[0116] When describing the combustion of oil vapor, a mass conservation relationship is defined (to ensure the total mass is conserved during the combustion process):
[0117]
[0118] It represents the velocity field (gas flow velocity, affected by thermal expansion and buoyancy), describing the velocity vector of the airflow;
[0119] Combustion causes changes in airflow, and its equation of motion is as follows:
[0120]
[0121] in, Indicates the pressure of the combustion gas phase. Indicates the viscosity of combustion gases (a mixture of oil vapor and air). This indicates the buoyancy term (due to the rise in temperature, hot gas rises, affecting the shape of the flame). Represents turbulent forces;
[0122] Describe the propagation of the flame front:
[0123]
[0124] The flame front indicator function (describes the position of the flame front; the direction of flame propagation depends on the flow field). The propagation speed of a laminar flame is affected by the properties of the oil and turbulence.
[0125] Calculate the combustion intensity and flame propagation range:
[0126]
[0127] in, Represents the total volume of the virtual combustion region. This represents the total heat release of the entire virtual combustion zone and assesses the intensity of combustion. Through the above, a realistic virtual combustion scenario can be constructed.
[0128] It is worth noting that during the simulation of associated virtual combustion scenarios, because each associated virtual combustion scenario is located in a different virtual area, multiple associated virtual combustion scenarios are simulated simultaneously. This allows for the simulation of multiple virtual combustion areas within an immersive interactive scenario, defining the extreme risk scenario constituted by multiple associated virtual combustion scenarios. Consequently, it is possible to determine target virtual area scenarios at different risk levels. For example, if the virtual areas containing multiple associated virtual combustion scenarios form a ring, the risk level of the center point of the ring gradually increases as the fire spreads inward and outward, because the fire in multiple associated virtual combustion scenarios will move towards it. Therefore, it is possible to predict target virtual area scenarios at different risk levels under this condition. Furthermore, based on resource costs within the target virtual area scenario, it is possible to simultaneously provide auxiliary predictions of the degree of damage. Moreover, based on this extreme risk scenario, it is convenient to plan for potential risks and hazards during the construction of power transmission and transformation projects in the real world, such as barrier-free paths, the quantity and location of fire protection facilities, etc.
[0129] If fire-fighting facilities are pre-configured in the immersive interactive scenario, the working status of pre-built fire-fighting facilities (smoke alarms, sprinkler systems) in other virtual areas within the immersive interactive scenario can be further monitored as multiple related virtual combustion scenarios operate synchronously. If the working status of the fire-fighting facilities is abnormal (e.g., smoke alarms and sprinkler systems are not working or are malfunctioning; abnormalities include sprinkler systems failing to spray normally or spraying at low volumes, and smoke alarms having reduced sound levels), it is easier to observe changes in the fire's combustion process, such as its spread trend. At the same time, the actual performance of the fire-fighting facilities under this extreme risk scenario can be obtained to determine whether the configuration of fire-fighting facilities should be improved based on the current simulated extreme risk scenario. Simultaneously, synchronous simulations can be performed for different types of fire-fighting facilities to clarify their actual performance and avoid inadequate fire-fighting facilities.
[0130] The multiple virtual scenarios triggered, including associated virtual combustion scenarios, associated virtual impact scenarios, and extreme risk scenarios, are all constructed based on whether users will carry out disassembly and maintenance work on power transmission and transformation engineering-related equipment in the future in the real world. Based on the abnormal disassembly and maintenance scenarios, associated virtual combustion scenarios, associated virtual impact scenarios, and extreme risk scenarios encountered in the previous immersive interactive scenarios, these scenarios can reveal the risks and hidden dangers that users will encounter when performing disassembly and maintenance work in the future, guiding users to perform disassembly and maintenance work in a standardized manner and reducing safety hazards.
[0131] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.
Claims
1. A simulation method for power transmission and transformation engineering construction based on digital twins, characterized in that, Includes the following steps: By combining the 3D model of power transmission and transformation projects with environmental data, a digital twin model is constructed, defining immersive interactive scenarios; To determine whether a user will perform disassembly, assembly, or maintenance work on power transmission and transformation equipment in the future, if the user does perform such work in the future, then: The immersive interactive scene combines a physics engine to simulate abnormal disassembly and assembly scenarios when virtual construction equipment is disassembled and assembled by a robotic arm and collides with the virtual ground, including: The collision impulse is calculated and the relative velocity components are updated by using the relative velocity components of the virtual construction equipment and the virtual ground in the collision normal direction. The rebound intensity is controlled based on the rebound coefficient to simulate the running state of the virtual construction equipment during the collision. Furthermore, the frictional force affects the tangential velocity to simulate frictional damping, thus simulating the virtual construction equipment gradually stopping on the virtual ground. Based on the abnormal disassembly and assembly scenario, the associated impact factors on other virtual construction equipment are defined. The associated risk index is calculated based on the associated impact factors. The associated risk index is combined with the damage index to calculate the impact of virtual construction equipment on other virtual construction equipment, thereby realizing the simulation of associated virtual impact scenarios. When the virtual construction equipment is a transformer: Based on the damage index, it is determined whether transformer oil leakage is triggered. If it is triggered, the electrical damage index of the transformer in the collision is defined. The oil leakage and electrical damage index are combined to simulate and correlate virtual combustion scenarios. Based on abnormal disassembly and assembly scenarios, correlated virtual impact scenarios, and correlated virtual combustion scenarios, a pre-response for disassembly and maintenance operations in the real world in the future is realized. Determine the total deformation area, number of cracks, crack area, and number of rupture points of the transformer casing and tank after the collision, and calculate the damage index using weighted average. ; Define the correlation influence factor , This indicates the distance from the transformer collision center to other virtual devices. Indicates the impact impulse; Definition of the first Associated risk index of other affected virtual devices , Indicates the original risks of other virtual devices. Indicates the proportionality coefficient; Combining transformer damage indicators Risk index related to other virtual devices Obtain the overall risk index : Indicates the basic risk value. This represents the damage weighting coefficient. This indicates the number of other virtual devices affected.
2. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 1, characterized in that, The method for determining the environmental data is as follows: To obtain the future location information of power transmission and transformation projects in the real world; Determine the corresponding environmental data for the location information, including temperature and humidity data, air pollution data, wind speed data, and rainfall and snowfall data.
3. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 1, characterized in that, The system determines whether an abnormal disassembly / assembly process is triggered based on the position of the robotic arm holding the virtual construction equipment. If triggered, the abnormal disassembly / assembly scenario is simulated.
4. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 3, characterized in that, The abnormal disassembly and assembly scenario also includes a simulated transformer free fall trajectory, specifically: Calculate its instantaneous velocity and position using the gravity update formula: in, Indicates the transformer in time Instantaneous velocity at time This indicates the initial position of the transformer when it is in the robotic arm. Represents gravitational acceleration. Indicates the time since the start of free fall. Indicates the transformer in time The position at that time This indicates the initial velocity of the transformer when it detaches from the robotic arm; The physics engine updates the instantaneous velocity and position of the transformer using a gravity update formula at each simulation time step to simulate the transformer's free fall trajectory.
5. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 4, characterized in that, By setting collision bodies for the transformer, robotic arm, and virtual ground respectively, a collision event is triggered when the transformer falls onto the virtual ground, and collision response calculation is performed. This simulates the gradual stopping of the virtual construction equipment through the calculation of friction and tangential velocity, thus simulating abnormal disassembly and assembly scenarios.
6. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 5, characterized in that, The method for calculating the frictional force is as follows: Calculate the relative velocity components of the transformer with respect to the virtual ground in the collision normal direction before the collision. ; Utilizing collision impulse Update the relative velocity components of the transformer as follows: Indicates virtual ground quality. Indicates the rebound coefficient. Indicates the quality of the transformer; After the collision, the relative velocity components are updated to : After the collision, regarding friction... Then we have: , Indicates the duration of the collision process. This represents the coefficient of friction, describing the frictional characteristics between the transformer and the virtual ground.
7. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 6, characterized in that, The tangential velocity is obtained through the initial velocity. The update is as follows: Therefore, the updated tangential velocity is obtained. : It represents the tangential impulse generated by friction during the collision.
8. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 7, characterized in that, Based on the overall risk index The impact on other virtual construction equipment was obtained.
9. The simulation method for power transmission and transformation engineering construction based on digital twins according to claim 1, characterized in that, The method for simulating and associating virtual combustion scenarios is as follows: Define electrical damage index ; If electrical damage index An electric arc or spark is triggered if the electrical abnormality threshold is exceeded. Calculate ignition energy , Indicates the proportionality coefficient; When the oil concentration in the oil leak area Reaching the concentration threshold, combined with ignition energy The following conditions are met: , This represents the minimum ignition energy required at a given oil concentration to trigger the associated virtual combustion scenario.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 1.
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