Multi-scenario switching and evaluation method based on construction simulation of power transmission and transformation projects

Abstract

The present invention relates to the technical field of construction risk assessment, and specifically to a multi-scenario switching and assessment method based on power transmission and transformation engineering construction simulation, comprising the following steps: Step 1: Collecting model construction data; Step 2: Using the model construction data to create a construction simulation scene with a terrain scene and dynamic weather; Step 3: Applying a dynamic change value to each weather parameter in the dynamic weather, adjusting the weather parameters according to time nodes, generating new weather parameters, and fusing the new weather parameters with the terrain scene to construct a change data set. The present invention adopts a multi-scenario switching method, which can effectively identify and assess potential risks in different construction scenarios. At the same time, it introduces multi-dimensional data such as meteorology, terrain, and historical construction in the scene switching to construct a more realistic construction simulation scene, and combines the calculation of dynamic interference, weather changes and other factors to improve the analysis of construction safety hazards and ensure more effective formulation of response measures.

Description

Technical Field

[0001] The present invention relates to the technical field of construction risk assessment, and in particular to a multi-scenario switching and assessment method based on construction simulation of a power transmission and transformation project. Background Art

[0002] As a crucial component of the power system, power transmission and transformation projects are responsible for the transmission, conversion, and distribution of electrical energy. Construction simulation technology, as an emerging field, can dynamically adjust simulation models to simulate and evaluate different construction scenarios, based on varying construction plans and environmental conditions, and in response to actual site conditions.

[0003] However, traditional construction simulation methods are primarily based on fixed scenario models and static historical data. When actual construction scenarios differ significantly from pre-set scenario models, construction teams often face difficulties adjusting their plans. This can lead to project delays and waste of resources, especially in complex and changing environments. Fixed assumptions limit the applicability of scenario models, and the lack of adaptability and update capabilities to real-time data makes it difficult for construction teams to respond to emergencies and changes. Consequently, they are unable to identify and assess new risk factors, increasing construction safety risks.

[0004] Therefore, a multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation is proposed to solve the above problems. Summary of the Invention

[0005] Technical issues solved:

[0006] In response to the above-mentioned shortcomings of the existing technology, the present invention provides a multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation, which can effectively solve the problem in the existing technology that static historical data limits the applicability of the scenario model and makes it impossible to identify and evaluate new risk factors.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] The present invention provides a multi-scenario switching and evaluation method based on power transmission and transformation project construction simulation. The technical solution adopted by the present invention is as follows: comprising the following steps:

[0009] Step 1: Collect data for model building;

[0010] Step 2: Use the model construction data to create a construction simulation scene with terrain scenes and dynamic weather;

[0011] Step 3: Apply dynamic change values ​​to each weather parameter in the dynamic weather, adjust the weather parameters according to the time node, generate new weather parameters, and integrate the new weather parameters with the terrain scene to construct a change dataset; use the change dataset to construct the dynamic interaction between the weather scene and the terrain scene, and generate dynamic interference to the construction simulation scene;

[0012] Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, determine whether to switch the current construction simulation scene;

[0013] If the construction simulation scene is switched, a simulation scene after the switch is generated, and a comprehensive evaluation score of the dynamic interference on the simulation scene after the switch is calculated;

[0014] If the construction simulation scene does not need to be switched, repeat step 3 until the construction simulation scene needs to be switched;

[0015] Step 5: Compare the comprehensive assessment score of the simulated scenario after switching with the pre-set risk threshold to determine whether the simulated scenario after switching can be safely implemented under the current conditions; if it cannot be safely implemented, extract the changing weather parameters and dynamic interference and analyze the reasons for unsafe implementation.

[0016] The model building data includes meteorological data, topographic and geological data, new technology data and historical construction data;

[0017] The dynamic disturbances include: terrain subsidence, soil flow, surface water flow, strong wind disturbance, construction efficiency and construction safety.

[0018] The method of creating a construction simulation scene is as follows:

[0019] Use terrain and geological data to create terrain scenes; use meteorological data to create dynamic weather; use new technology data to build simulated construction parameters; use historical construction data to build safety assessment parameters; integrate terrain scenes, weather scenes, simulated construction parameters and safety assessment parameters to build an initial data set, and use the initial data set to generate construction simulation scenes.

[0020] The method of generating new weather parameters is as follows:

[0021] Where, is the parameter value of the i-th weather parameter in the initial data set at time t; is the initial value of the i-th weather parameter; is the dynamic change value imposed on the i-th weather parameter at time t;

[0022] The calculation formula of the dynamic change value is:

[0023] ;

[0024] Where, Indicates the periodic change of the dynamic change value; A represents the amplitude; is the angular frequency; Indicates phase; represents random noise; Represents the interactive effects between related weather parameters.

[0025] The functional expression of the interaction between the associated weather parameters is:

[0026] ;

[0027] Where, is a constant term; n is the number of weather parameters; is the influence coefficient of the i-th weather parameter; is the jth weather parameter; is the interaction coefficient between the i-th weather parameter and the j-th weather parameter, represents the i-th weather parameter.

[0028] The formula for the comprehensive evaluation score is:

[0029] Where, It is the comprehensive evaluation score of the simulation scenario after switching; is the risk factor of dynamic interference, is the weight coefficient of the risk factor; C is the cost factor of the simulated construction, is the weight coefficient of the cost factor; S is the safety factor of the simulated construction, is the weight coefficient of the safety factor; T is the effect factor of the application of new technology in simulated construction, is the weight coefficient of the effect factor.

[0030] The calculation formula of the risk factor of dynamic interference is:

[0031] ;

[0032] Where, is the validity indicator of weather parameters; It is an indicator of the impact of topographic and geological changes; is the weight coefficient of the impact index of topographic and geological changes; It is an influencing indicator of construction efficiency; Weight coefficient of influencing indicators of construction efficiency; is a risk indicator of environmental disturbance; is the weight coefficient of the risk index of environmental interference, is the weight coefficient of the effectiveness index of weather parameters.

[0033] The calculation formula of the risk index of environmental interference is:

[0034] ;

[0035] Where, is the adjustment coefficient of the risk indicator; the number of new technologies introduced; The degree of resource scarcity; is the weight coefficient of resource shortage degree; F is the frequency of emergency events; is the weight coefficient of the frequency of emergencies; R is the total amount of risk transmission.

[0036] The method for obtaining the total amount of risk transmission is as follows:

[0037] Collect historical construction data, extract risk factors and their impact consequences; classify risk factors and extract direct and indirect risks;

[0038] Taking each risk factor as a node, a risk propagation network diagram is established. Nodes are connected by edge paths, and priority is assigned to edge paths based on the degree of impact of the consequences between risk factors.

[0039] Calculate the centrality index of each node, and calculate the comprehensive centrality value of the node based on the centrality index. The calculation formula is:

[0040] Where, is the weight of degree centrality, is the weight of proximity centrality, is the weight of betweenness centrality; is the degree centrality of the vth node; is the betweenness centrality of the vth node; is the closeness centrality of the v-th node, represents the comprehensive central value;

[0041] The formula for calculating the total amount of risk transmission is: ; Where G is the total number of nodes, is the comprehensive centrality value of the u-th node, is the weight coefficient of the u-th node.

[0042] The calculation formula of the centrality index is:

[0043] ;

[0044] Where, is the number of connections of the vth node; Indicates the number of shortest edge paths passing through the vth node; is the number of shortest edge paths between the e-th node and the r-th node; is the number of shortest edge paths from the vth node to other nodes u; G is the total number of nodes, is the degree centrality of the v-th node, is the betweenness centrality of the v-th node, is the closeness centrality of the vth node.

[0045] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0046] 1. In the present invention, by dynamically adjusting the construction simulation model in real time, a flexible response to construction situations can be achieved according to different environmental conditions and actual data; thus, potential risks in different construction scenarios can be identified and evaluated. This can effectively reduce safety hazards in complex engineering projects, especially in environments where uncertain factors frequently appear.

[0047] 2. In the present invention, by realizing the switching and evaluation of multiple scenarios, the construction team can allocate resources more reasonably. In different construction scenarios, the team can optimize the configuration of personnel, equipment and materials based on real-time data to improve the overall economic benefits; and based on various data support of scenario simulation, it helps the construction team make scientific decisions in a dynamic construction environment.

[0048] 3. In the present invention, by introducing multi-dimensional data, such as meteorological, topographical, and historical construction data, the constructed simulation scene is more realistic, enabling the construction team to more effectively respond to unforeseen construction challenges, thereby promoting the smooth completion of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 The figure is a schematic diagram of the method flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0051] Example 1, reference Figure 1 ,This case proposes a multi-scenario switching and evaluation method based on the construction simulation of power transmission and transformation projects, which includes the following steps:

[0052] Step 1: Collect model building data, including:

[0053] Meteorological data: temperature, humidity, rainfall, wind speed and direction, as well as the frequency and intensity of extreme weather events (such as heavy rain, hail, and lightning). Meteorological data can be used to create weather scenarios for construction simulations, simulating the challenges and coping strategies of construction under different meteorological conditions. At the same time, by collecting historical meteorological data, the climate characteristics of the area where the construction project is located can be evaluated to help predict potential risks.

[0054] Topographic and geological data: Topographic maps of the construction project (including slope, soil type, water distribution, etc.), geological structures (such as rock type, fault distribution, etc.), and soil layer structure. Topographic and geological data can be used to create terrain scenarios for construction simulation scenarios, simulating problems that may be encountered in construction under different terrain characteristics, such as landslides, floods, and other geological disasters.

[0055] New technology data: technical parameters of the new technology (such as the flight altitude and coverage radius of drone inspections), case data of the new technology used in other projects (such as construction efficiency, construction cost, construction effect, etc.); by introducing new technology data into construction simulation scenarios, the performance of the new technology can be analyzed, its advantages and limitations in the construction process can be clarified, and a reference for risks and operating methods that may be encountered during use is provided, ensuring adaptation to the environment while improving the safety and economy of technology application.

[0056] Historical construction data: historical construction cycles, resource utilization data, interference records (such as severe weather, technical failures, material shortages, etc.) and corresponding measures; by introducing historical construction data into construction simulation scenarios, factors that caused delays and safety risks in historical projects can be effectively identified and applied to new construction simulation scenarios to predict the progress of new projects.

[0057] Through multi-dimensional information support and comprehensive analysis of meteorological data, topographic and geological data, new technology data, and historical construction data, we ensure that the constructed construction simulation scenarios cover a wide range of possible situations, ensuring that each scenario truly reflects the challenges encountered during the construction process, thereby creating a more realistic simulation environment. This provides comprehensive information support for the switching evaluation of construction simulation scenarios, enabling construction teams to make reasonable decisions in a dynamic environment and minimize risks.

[0058] Step 2: Input the model construction data into the modeling software (such as SketchUp, ArcGIS, etc.) to create a construction simulation scene. The creation method is:

[0059] S201: Create a terrain scene using terrain and geological data; create a contour map based on the topographic map, plot the ups and downs of the ground, and then add landform data (such as rivers, mountains, plains, etc.) to it to ensure that the 3D terrain model can accurately reflect the site where the construction project is located.

[0060] S202: Create dynamic weather using meteorological data; set weather parameters (such as temperature, humidity, wind speed, wind direction, rainfall, etc.) based on the meteorological data. Different weather scenes can be simulated by combining different weather parameters; and set dynamic thresholds for each weather parameter. When the weather parameter is adjusted and exceeds the dynamic threshold, it will trigger a weather change, thereby switching the weather scene.

[0061] S203: Use new technical data to construct simulated construction parameters; create a three-dimensional model application model of construction equipment through simulated construction parameters, parameterize the simulated construction parameters (based on construction efficiency, cost fluctuations, failure rate, etc. in case data), and generate technical adaptability evaluation indicators under different scenarios.

[0062] S204: Construct safety assessment parameters using historical construction data; create a safety assessment model using historical construction data, and convert historical construction data (such as historical interference events, historical accident data, etc.) into quantitative data for construction safety assessment.

[0063] S205: Integrate the terrain scene, weather scene, simulated construction parameters, and safety assessment parameters to construct an initial data set, and use the initial data set to generate a construction simulation scenario (import the terrain scene and weather scene into the simulation platform; create a three-dimensional model of construction equipment, materials, and building structures; use the physics engine to simulate the mechanical behavior of the construction process, and collect simulation behavior data);

[0064] Step 3: Apply dynamic change values ​​to each weather parameter in the initial data set, adjust the weather parameters according to the time nodes, generate new weather parameters, and integrate the new weather parameters with the terrain scene to construct a change data set; use the change data set to construct the dynamic interaction between the weather scene and the terrain scene, and generate dynamic interference to the construction simulation scene.

[0065] Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, determine whether to switch the current construction simulation scene;

[0066] If the construction simulation scene needs to be switched, generate the simulation scene after the switch, and calculate the comprehensive evaluation score of the dynamic interference on the simulation scene after the switch;

[0067] If the construction simulation scene does not need to be switched, repeat step 3 until the construction simulation scene needs to be switched.

[0068] Step 5: Compare the comprehensive assessment score of the simulated scenario after switching with the pre-set risk threshold. If the comprehensive assessment score is greater than the generated risk threshold, it indicates that the simulated scenario after switching is feasible and safe under the current conditions. The team can adjust the construction strategy, optimize resource allocation, and enhance safety measures based on this. If the comprehensive assessment score is less than the generated risk threshold, extract the changing weather parameters and dynamic interference during the switching process of the construction simulation scenario to the simulated scenario after switching, analyze the reasons for the substandard assessment score (such as changes in meteorological parameters, the adaptability of construction equipment, personnel safety measures, and other factors), and take corresponding corrective measures (modify the construction process, adjust personnel allocation, or implement stricter safety precautions).

[0069] Evaluation report of construction simulation scenario.

[0070] In step 3, new weather parameters are generated as follows:

[0071] Where, is the parameter value of the i-th weather parameter in the initial data set at time t; is the initial value of the i-th weather parameter, that is, the parameter value at time t=0; is the dynamic change value imposed on the i-th weather parameter at time t.

[0072] By applying dynamically changing parameters to each weather parameter to form different new weather parameter combinations, different construction simulation scenarios can be simulated. During the multi-scenario switching process, the construction simulation scenario can randomly generate different switched simulation scenarios, and each switched simulation scenario has different external environmental conditions, thereby identifying the risks that may be faced in construction under different external environmental conditions, and evaluating construction strategies for different risks (including priority allocation of construction resources, risk protection for construction safety, etc.), so that the construction team can respond scientifically in a variety of scenarios; it can not only improve the flexibility and safety of the actual construction process, but also effectively promote the scientific management of projects, avoid waste of resources, improve construction efficiency and economic benefits, and ensure the smooth completion of projects.

[0073] The calculation formula for the dynamic change value is:

[0074] ;

[0075] Where, It represents the dynamic change value caused by the periodic change of meteorological conditions (such as the temperature difference between day and night, seasonal changes). A represents the amplitude, which is the maximum degree of periodic change. is a sine function, used to simulate periodic phenomena; is the angular frequency, which is used to control the period of change; Indicates the phase, which is used to control the starting position of the waveform; represents random noise, reflecting unpredictable changes in the environment; is a multivariate function representing the interactions between related weather parameters. By incorporating the interactions between different weather parameters into the calculation of new weather parameters, dynamic weather changes can be more accurately and realistically described. This allows construction simulation scenarios to more scientifically and effectively predict potential impacts during multi-scenario switching and formulate scientific emergency response strategies.

[0076] Where, is a constant term, which represents the baseline value when all input variables (weather parameters) are zero; n is the number of weather parameters; is the influence coefficient of the i-th weather parameter; is the jth weather parameter; is the interaction coefficient between the ith weather parameter and the jth weather parameter, reflecting the degree of interaction between the ith weather parameter and the jth weather parameter, and is determined based on the experimental data fitting. represents the i-th weather parameter.

[0077] In S205, dynamic disturbances include: terrain subsidence, soil flow, surface water flow, strong wind disturbance, construction efficiency and construction safety. Specifically:

[0078] Based on rainfall or snowfall during dynamic weather conditions, soil moisture changes within the terrain scenario are calculated (using soil type and its physical properties, and using fluid dynamics formulas to calculate seepage velocity and soil saturation). The impact of rainfall or snowfall on soil shear strength is then assessed, resulting in a shear strength analysis value. This shear strength analysis helps identify risky areas (i.e., soil flow zones) within the construction simulation scenario, preventing heavy construction from occurring under conditions of reduced soil strength, which could impact infrastructure. Hydrological models (such as the SCS-CN method or the Rational method) are used to simulate water flow direction and volume, determining the flow path of rainfall within the terrain scenario during dynamic weather conditions. This flow path allows for the prediction of the impact of rainfall on the construction simulation site, assessing potential areas of water accumulation, which could cause flooding or secondary disasters, and the potential for landslides on slopes, posing a safety threat to construction activities near the slopes.

[0079] Based on wind speed and direction in dynamic weather conditions, the Bernoulli equation is used to calculate wind pressure on buildings and facilities in construction simulation scenarios. Strong winds can exert significant pressure on building structures, potentially causing them to fail (i.e., strong wind disturbance). Different safety operating standards are clearly defined based on wind speed, simulating work restrictions under high-wind conditions to facilitate flexible construction schedules. Wind intensity also increases dust, potentially causing equipment failure or reduced visibility, leading to construction delays.

[0080] Based on the temperature in dynamic weather, the changes in the physical properties of building materials (such as concrete, steel, etc.) under different temperature conditions in construction simulation scenarios (such as structural deformation, cracking or stress concentration) are evaluated to ensure the effectiveness of the materials in extreme weather; as well as the impact of extreme weather on the work efficiency of construction workers.

[0081] Based on the amount of snowfall in dynamic weather, the load of different snow depths is simulated to calculate the burden it may cause on the building structure in the construction simulation scenario; and the snow or ice layer increases the slipperiness of the ground, which may cause the stability of construction equipment to decrease during movement and operation, increasing the risk of accidents.

[0082] In step 4, the formula for calculating the comprehensive evaluation score is:

[0083] Where, It is the comprehensive evaluation score of the simulation scenario after switching; is the risk factor of dynamic interference, is the weight coefficient of the risk factor; C is the cost factor of the simulated construction (including material cost, construction period and other related operations, etc., obtained by evaluating historical construction data), is the weight coefficient of the cost factor; S is the safety factor of the simulated construction (including accident rate, risk assessment and safety compliance, etc., obtained based on the analysis of historical accident records and report data), is the weight coefficient of the safety factor; T is the effect factor of the application of new technologies in simulated construction (efficiency improvement, cost savings, and project quality improvement of new technologies, etc., obtained based on the technical parameters of new technologies and historical case data analysis and evaluation), is the weight coefficient of the effect factor. By taking the risk factor of dynamic interference as the core element, the comprehensive evaluation score can truly reflect the actual environmental changes at the construction site, including meteorological conditions and other external interferences. This dynamic adaptability enables the construction team to respond more flexibly to different construction scenarios. The exception also integrates multiple important factors to provide a comprehensive evaluation framework. Specifically: by simulating the cost factors of construction and the effect factors of new technology applications, construction projects can better optimize resource allocation to ensure that the use of resources is maximized in a dynamic environment and waste is avoided; and the safety factors of simulated construction can enable the construction team to more deeply analyze the potential safety hazards that may be encountered during the construction process, so as to take targeted measures to reduce the accident rate.

[0084] The calculation formula of the risk factor of dynamic interference is:

[0085] ;

[0086] Where, Is the effectiveness indicator of weather parameters, which can be obtained as follows: ,in is the control coefficient of the i-th weather parameter; is the weight coefficient of the effectiveness index of weather parameters; The impact indicators of topographic and geological changes are obtained using the topographic map data after the changes; is the weight coefficient of the impact index of topographic and geological changes; It is an influencing indicator of construction efficiency. It is calculated by obtaining relevant data of construction efficiency through historical construction data and equipment failure records. The calculation formula is: ; Where O is the baseline value, representing the ideal or standard output of construction (such as baseline workload); is the equipment failure rate, used to measure equipment reliability; is the current construction cycle, which is used to measure the time required for construction; I is the experience level of the construction team. The higher the experience level, the higher the construction efficiency; is the weight coefficient of the construction team's experience level, reflecting the impact of team experience on efficiency; Weight coefficient of influencing indicators of construction efficiency; It is a risk indicator of environmental interference, used to quantify the potential risks brought about by environmental factors (such as the introduction of new technologies, resource shortages and emergencies) during the construction process; is the weight coefficient of the risk index of environmental interference.

[0087] The calculation formula of the environmental interference risk index is:

[0088] ;

[0089] Where, is the adjustment coefficient of the risk indicator, reflecting the overall scale of the risk indicator; the number of new technologies introduced; The resource shortage degree indicates the adequacy or scarcity of material supply; is the weight coefficient of resource shortage, reflecting the impact of material shortage on the overall risk; F is the frequency of emergencies, reflecting the unpredictability of the construction environment, based on historical data analysis; is the weight coefficient of the frequency of emergencies; R is the total amount of risk transmission, which is used to quantify the risk impact of a series of chain reactions caused by the occurrence of a certain risk factor. The total amount of risk transmission is obtained as follows:

[0090] Collect historical construction data, extract risk factors and their impacts, and categorize risk factors to identify direct and indirect risks. Establish the impact relationships between direct and indirect risks (for example, how extreme weather affects construction speed, and how construction speed affects material usage). Then, using each risk factor as a node, create a risk propagation network diagram, connecting nodes with edge paths to represent the propagation relationships between nodes. Based on the degree of impact of the impact of risk factors (derived from historical experience), assign a priority (i.e., a weight) to each edge path.

[0091] Then calculate the centrality index of each node, including degree centrality , betweenness centrality and closeness centrality The calculation formula is:

[0092] ;

[0093] Where, is the degree centrality of the vth node, which measures the number of connections of the node in the risk propagation network graph (i.e., the number of other nodes directly connected to the node); is the number of connections of the v-th node, indicating the number of other nodes directly connected to the v-th node; is the betweenness centrality of the vth node, which measures the role of the node in connecting other nodes. A higher value means that the node has a stronger ability to transmit information between other nodes. Represents the number of shortest edge paths passing through the vth node (that is, how many edge paths from the eth node to the rth node pass through v); is the number of shortest edge paths between the e-th node and the r-th node; is the closeness centrality of the vth node, which measures the average distance between the node and all other nodes in the risk propagation network graph. The smaller the value, the closer the distance between the node and other nodes, reflecting the accessibility of the node in the network; is the number of shortest edge paths from the vth node to other nodes u; G is the total number of nodes.

[0094] The comprehensive centrality value of a node is calculated based on its centrality index. The calculation formula is:

[0095] Where, represents the comprehensive central value, is the weight of degree centrality, is the weight of proximity centrality, is the weight of betweenness centrality; both are determined based on experimental data fitting.

[0096] By classifying and organizing risk factors in historical construction data, the relationships between different risk factors can be clearly identified and understood. This clear risk mapping helps construction teams identify which factors are key risk points, thereby better managing and responding to these risks. In addition, the risk propagation network diagram visualizes each risk factor and its impact in a system, helping construction teams grasp the interactions and influence chains between risk factors, making it easier to quickly locate the source and key nodes when risks occur and implement effective intervention measures.

[0097] The formula for calculating the total amount of risk transmission is: ; where G is the total number of risk factors, is the comprehensive centrality value of the u-th node, is the weight coefficient of the u-th node.

[0098] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A multi-scenario switching and evaluation method based on power transmission and transformation project construction simulation is characterized by: The following steps are involved: Step 1: Collect data for model building; Step 2: Use the model construction data to create a construction simulation scene with terrain scenes and dynamic weather; Step 3: Apply dynamic change values ​​to each weather parameter in the dynamic weather, adjust the weather parameters according to the time node, generate new weather parameters, and integrate the new weather parameters with the terrain scene to construct a change dataset; use the change dataset to construct the dynamic interaction between the weather scene and the terrain scene, and generate dynamic interference to the construction simulation scene; Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, determine whether to switch the current construction simulation scene; If the construction simulation scene is switched, a simulation scene after the switch is generated, and a comprehensive evaluation score of the dynamic interference on the simulation scene after the switch is calculated; If the construction simulation scene does not need to be switched, repeat step 3 until the construction simulation scene needs to be switched; Step 5: Compare the comprehensive evaluation score of the simulated scenario after switching with the pre-set risk threshold to determine whether the simulated scenario after switching is safe to implement under the current conditions; If it is not safe to do so, extract the changing weather parameters and dynamic interference and analyze the reasons why it is not safe to do so; The formula for the comprehensive evaluation score is: Where, It is the comprehensive evaluation score of the simulation scenario after switching; is the risk factor of dynamic interference, is the weight coefficient of the risk factor; C is the cost factor of the simulated construction, is the weight coefficient of the cost factor; S is the safety factor of the simulated construction, is the weight coefficient of the safety factor; T is the effect factor of the application of new technology in simulated construction, is the weight coefficient of the effect factor; The calculation formula of the risk factor of dynamic interference is: ； Where, is the validity indicator of weather parameters; It is an indicator of the impact of topographic and geological changes; is the weight coefficient of the impact index of topographic and geological changes; It is an influencing indicator of construction efficiency; Weight coefficient of influencing indicators of construction efficiency; is a risk indicator of environmental disturbance; is the weight coefficient of the risk index of environmental interference, is the weight coefficient of the effectiveness index of weather parameters; The calculation formula of the risk index of environmental interference is: ； Where, is the adjustment coefficient of the risk indicator; the number of new technologies introduced; The degree of resource scarcity; is the weight coefficient of resource shortage degree; F is the frequency of emergency events; is the weight coefficient of the frequency of emergencies; R is the total amount of risk transmission; The total amount of risk transmission is obtained as follows: Collect historical construction data, extract risk factors and their impact consequences; classify risk factors and extract direct and indirect risks; Taking each risk factor as a node, a risk propagation network diagram is established. Nodes are connected by edge paths, and priority is assigned to edge paths based on the degree of impact of the consequences between risk factors. Calculate the centrality index of each node, and calculate the comprehensive centrality value of the node based on the centrality index. The calculation formula is: Where, is the weight of degree centrality, is the weight of proximity centrality, is the weight of betweenness centrality; is the degree centrality of the vth node; is the betweenness centrality of the vth node; is the closeness centrality of the v-th node, represents the comprehensive central value; The formula for calculating the total amount of risk transmission is: ; Where G is the total number of nodes, is the comprehensive centrality value of the u-th node, is the weight coefficient of the u-th node; The calculation formula of the centrality index is: ； Where, is the number of connections of the vth node; Indicates the number of shortest edge paths passing through the vth node; is the number of shortest edge paths between the e-th node and the r-th node; is the number of shortest edge paths from the vth node to other nodes u; G is the total number of nodes, is the degree centrality of the v-th node, is the betweenness centrality of the v-th node, is the closeness centrality of the vth node.

2. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation according to claim 1 is characterized in that: The model building data includes meteorological data, topographic and geological data, new technology data and historical construction data; The dynamic disturbances include: terrain subsidence, soil flow, surface water flow, strong wind disturbance, construction efficiency and construction safety.

3. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation according to claim 2 is characterized in that: The method for creating a construction simulation scene with terrain scenes and dynamic weather is as follows: Use terrain and geological data to create terrain scenes; use meteorological data to create dynamic weather; use new technology data to build simulated construction parameters; use historical construction data to build safety assessment parameters; integrate terrain scenes, weather scenes, simulated construction parameters and safety assessment parameters to build an initial data set, and use the initial data set to generate construction simulation scenes.

4. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation according to claim 3 is characterized in that: The method of generating new weather parameters is: Where, is the parameter value of the i-th weather parameter in the initial data set at time t; is the initial value of the i-th weather parameter; is the dynamic change value of the i-th weather parameter at time t; The calculation formula of the dynamic change value is: ； Where, Indicates the periodic change of the dynamic change value; A represents the amplitude; is the angular frequency; Indicates phase; represents random noise; Represents the interactive effects between related weather parameters.

5. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation according to claim 4 is characterized in that: The functional expression of the interaction between the associated weather parameters is: ； Where, is a constant term; n is the number of weather parameters; is the influence coefficient of the i-th weather parameter; is the jth weather parameter; is the interaction coefficient between the i-th weather parameter and the j-th weather parameter, represents the i-th weather parameter.

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