Multi-scene switching and evaluation method based on power transmission and transformation project construction analogue simulation

Abstract

The invention relates to the technical field of construction risk assessment, in particular to a power transmission and transformation project construction analogue simulation-based multi-scene switching and assessment method, which comprises the following steps of 1, acquiring model building data; 2, creating a construction analogue simulation scene with a terrain scene and dynamic weather by using the model building data; and 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 and the terrain scene to construct a change data set. According to the method, a multi-scene switching mode is adopted, potential risks in different construction scenes can be effectively recognized and evaluated, meanwhile, multi-dimensional data such as weather, terrain and historical construction are introduced in scene switching, a more real construction simulation scene is constructed, and by combining and calculating factors such as dynamic interference and weather change, the construction safety is improved. Analysis of construction potential safety hazards is improved, and it is ensured that response measures are made more effectively.

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 an important part of the power system, power transmission and transformation projects undertake the functions of transmitting, transforming and distributing electric energy. As an emerging field, construction simulation technology can dynamically adjust the simulation model to simulate and evaluate different construction scenarios according to the actual changes on site under different construction plans or construction environment conditions.

[0003] However, traditional construction simulation methods are mainly based on fixed scenario models and static historical data. When there are significant differences between the actual construction scenario and the preset scenario model, the construction team often faces difficulties in adjusting the plan. This situation may lead to project delays and waste of resources, especially in complex environmental changes. Fixed assumptions limit the applicability of scenario models, and the lack of adaptability and update capabilities to real-time data makes it difficult for the construction team to respond to emergencies and changes; thus, it is impossible to identify and evaluate new risk factors, increasing construction safety hazards.

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

[0005] Technical issues solved: In view of the above-mentioned shortcomings of the prior art, 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 prior art that the static historical data limits the applicability of the scenario model and makes it impossible to identify and evaluate new risk factors.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The present invention provides a multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation. The technical solution adopted by the present invention is as follows: comprising the following steps: Step 1: Collect data for model building; Step 2: Use the model building 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 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; Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, it is determined whether to switch the current construction simulation scene; If the construction simulation scene is switched, the simulation scene after switching is generated, and the comprehensive evaluation score of dynamic interference on the simulation scene after switching 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 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 why it cannot be safely implemented.

[0007] 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.

[0008] The method of creating a construction simulation scene 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.

[0009] The method of generating new weather parameters is as follows: ; In the formula, 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; The calculation formula of the dynamic change value is: ; In the formula, Indicates the periodic change of the dynamic change value; A indicates the amplitude; is the angular frequency; Indicates phase; represents random noise; Represents the interactive effects between associated weather parameters.

[0010] The functional expression of the interaction between the associated weather parameters is: ; In the formula, 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.

[0011] The formula for the comprehensive evaluation score is: ; In the formula, 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.

[0012] The calculation formula of the risk factor of dynamic interference is: ; In the formula, It 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 index that affects construction efficiency; The weight coefficient of the influencing index of construction efficiency; It is an indicator of the risk 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.

[0013] The calculation formula of the risk index of environmental interference is: ; In the formula, is the adjustment coefficient of the risk indicator; the number of new technologies introduced; The degree of resource shortage; is the weight coefficient of resource shortage degree; F is the frequency of emergencies; is the weight coefficient of the frequency of emergencies; R is the total amount of risk transmission.

[0014] The method for obtaining the total amount of risk transmission is as follows: Collect historical construction data, extract risk factors and their consequences; classify risk factors, and extract direct and indirect risks; Taking each risk factor as a node, a risk propagation network diagram is established. The nodes are connected by edge paths, and the edge paths are assigned priorities based on the degree of impact of the consequences between the 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: ; In the formula, is the weight of degree centrality, is the weight of betweenness centrality, is the weight of proximity centrality; is the degree centrality of the vth node; is the betweenness centrality of the vth node; is the closeness centrality of the vth 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.

[0015] The calculation formula of the centrality index is: ; In the formula, is the number of connections of the vth node; Represents 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 vth node, is the betweenness centrality of the vth node, is the closeness centrality of the vth node.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. In the present invention, by dynamically adjusting the construction simulation model in real time, 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, which can effectively reduce safety hazards in complex engineering projects, especially in environments where uncertain factors frequently appear.

[0017] 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 according to real-time data to improve the overall economic benefits; and based on various data support of scenario simulation, help the construction team make scientific decisions in a dynamic construction environment.

[0018] 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

[0019] Figure 1 The following is a simplified diagram showing the method flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 used to limit the present invention.

[0021] Example 1, reference Figure 1 ,This case proposes a multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation, including the following steps: Step 1: Collect model building data, including: 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 in construction simulation scenarios, 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.

[0022] Topographic and geological data: topographic map of the construction project (including slope, soil type, water distribution, etc.), geological structure (such as rock type, fault distribution, etc.) and soil layer structure; terrain and geological data can be used to create terrain scenes in construction simulation scenarios, simulating problems that may be encountered in construction under different terrain features, such as landslides, floods and other geological disasters.

[0023] New technology data: technical parameters of new technologies (such as the flight altitude and coverage radius of drone inspections), case data of new technologies 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 new technologies can be analyzed, and their advantages and limitations in the construction process can be clarified. It also provides a reference for the risks and operating methods that may be encountered during use, ensuring adaptation to the environment while improving the safety and economy of technology applications.

[0024] Historical construction data: historical construction cycles, resource utilization data, interference records (such as bad weather, technical failures, material shortages, etc.) and corresponding measures; by introducing historical construction data into construction simulation scenarios, factors that cause 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.

[0025] Through multi-dimensional information support, using 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 variety of possible situations, so that each scenario can truly reflect the challenges that may be encountered during the construction process, thereby creating a more realistic simulation environment. Provide comprehensive information support for the switching evaluation of construction simulation scenarios, so that the construction team can make reasonable decisions in a dynamic environment and minimize risks.

[0026] Step 2: Input the model building data into the modeling software (such as SketchUp, ArcGIS, etc.) to create a construction simulation scene. The creation method is: S201: Create terrain scenes using terrain and geological data; create contour maps based on topographic maps, plot the ups and downs of the ground, and then add landform data (such as rivers, mountains, plains, etc.) to ensure that the three-dimensional terrain model can accurately reflect the site where the construction project is located.

[0027] 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 through different combinations of 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.

[0028] S203: Use new technical data to construct simulated construction parameters; create a three-dimensional model application model of construction equipment by simulating 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.

[0029] 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.

[0030] S205: The terrain scene, weather scene, simulated construction parameters and safety assessment parameters are integrated to construct an initial data set, and the initial data set is used to generate a construction simulation scene (the terrain scene and weather scene are imported into the simulation platform; three-dimensional models of construction equipment, materials and building structures are created; the physical engine is used to simulate the mechanical behavior of the construction process, and the simulation behavior data is collected); 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 and terrain scenes to construct a change data set; use the change data set to construct the dynamic interaction between weather scenes and terrain scenes, and generate dynamic interference to the construction simulation scene.

[0031] Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, it is determined whether to switch the current construction simulation scene; 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; If the construction simulation scene does not need to be switched, repeat step 3 until the construction simulation scene needs to be switched.

[0032] Step 5: Compare the comprehensive evaluation score of the simulated scenario after switching with the pre-set risk threshold. If the comprehensive evaluation 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 on this basis, optimize resource allocation and enhance safety measures. If the comprehensive evaluation score is less than the generated risk threshold, extract the changing weather parameters and dynamic interference during the switching of the construction simulation scenario to the simulated scenario after switching, analyze the reasons for the failure to meet the evaluation score (such as changes in meteorological parameters, adaptability of construction equipment, safety measures of personnel, etc.), and on this basis, take corresponding corrective measures (modify the construction process, adjust personnel allocation or implement stricter safety precautions).

[0033] Evaluation report of construction simulation scenario.

[0034] In step 3, new weather parameters are generated as follows: ; In the formula, 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.

[0035] 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 enable the project to be completed smoothly.

[0036] The calculation formula for the dynamic change value is: ; In the formula, It indicates the dynamic change value caused by the periodic change of meteorological conditions (such as temperature difference between day and night, seasonal change); where 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, 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 that represents the interaction between related weather parameters. By incorporating the interaction between different weather parameters into the calculation of new weather parameters, the dynamic weather changes in the simulation can be described more accurately and realistically, so that the construction simulation scene can more scientifically and effectively predict potential impacts during the multi-scene switching process and formulate scientific emergency response strategies.

[0037] ; In the formula, is a constant term, which represents the reference 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 experimental data fitting. represents the i-th weather parameter.

[0038] In S205, dynamic disturbances include: terrain subsidence, soil flow, surface water flow, strong wind disturbance, construction efficiency and construction safety. Specifically: Based on the rainfall or snowfall in dynamic weather, the soil moisture changes in the terrain scene are calculated (the type of soil is combined with its physical properties, and the fluid mechanics calculation formula is used to calculate the seepage velocity and soil saturation), and the impact of rainfall or snowfall on the shear strength of the soil is obtained to obtain the shear strength analysis value. The shear strength analysis value can be used to identify the risk area (i.e., the soil flow area) in the construction simulation scene to avoid heavy construction under the condition of reduced soil strength, which affects the infrastructure. The water flow direction and flow rate are simulated using a hydrological model (such as the SCS-CN method or the Rational method) to determine the water flow path of rainfall in the terrain scene in dynamic weather. The water flow path can be used to predict the on-site impact of rainfall in the construction simulation scene, evaluate potential water accumulation areas, which may cause flooding or cause secondary disasters, and the risk of landslides in slope areas that may be caused by rainfall, posing a safety threat to construction activities near the slope.

[0039] Based on the wind speed and direction in dynamic weather, the Bernoulli equation is used to calculate the wind pressure of different wind speeds and directions on building facilities in the construction simulation scenario. Strong winds will exert great pressure on the building structure, causing structural instability (i.e. strong wind interference). Different safety operation standards are clearly set based on wind speed to simulate work restrictions under high wind conditions, so as to better arrange a flexible construction schedule; and the intensity of the wind leads to increased dust, and construction equipment may malfunction due to the influence of dust, or cause reduced visibility, resulting in delays in construction progress.

[0040] Based on the temperature in dynamic weather, the physical property changes of building materials (such as concrete, steel, etc.) under different temperature conditions in the construction simulation scenario are evaluated (such as structural deformation, cracking or stress concentration), 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.

[0041] Based on the amount of snowfall in dynamic weather, the loads of different snow depths are simulated to calculate the burden that may be caused to the building structure in the construction simulation scenario; and the snow or ice layer increases the slipperiness of the ground, which may cause the construction equipment to have reduced stability during movement and operation, increasing the risk of accidents.

[0042] In step 4, the formula for calculating the comprehensive evaluation score is: ; In the formula, 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, 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 technology in simulated construction (the efficiency improvement, cost savings and project quality improvement of the new technology, etc., which is obtained based on the technical parameters of the new technology and the analysis and evaluation of historical case data). 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 to different construction scenarios more flexibly. The exception also combines multiple important factors to provide a comprehensive basic 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 resources are used to the maximum extent in a dynamic environment and to avoid waste; 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.

[0043] The calculation formula of the risk factor of dynamic interference is: ; In the formula, It is the validity index of weather parameters, which can be obtained by: ,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 index influencing 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 benchmark value, representing the ideal or standard output of construction (such as benchmark 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; The weight coefficient of the influencing index of construction efficiency; It is a risk indicator of environmental disturbance, used to quantify the potential risks caused 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.

[0044] The calculation formula of the risk index of environmental interference is: ; In the formula, 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 sufficiency 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, which is obtained 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: Collect historical construction data, extract risk factors and their consequences; classify risk factors, and extract direct and indirect risks. Establish the impact relationship between direct and indirect risks (for example, how extreme weather affects construction speed, and how construction speed affects material use), and then use each risk factor as a node to establish a risk propagation network diagram, with nodes connected by edge paths to represent the propagation relationship between nodes; and set the allocation priority (i.e., allocation weight) for each edge path based on the degree of impact of the consequences between risk factors (obtained based on historical experience analysis).

[0045] Then calculate the centrality index of each node, including degree centrality , Betweenness Centrality and closeness centrality ; The calculation formula is: ; In the formula, 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 vth node, indicating the number of other nodes directly connected to the vth node; is the betweenness centrality of the vth node, which measures the role of the node in connecting other nodes. The higher the value, the stronger the ability of this node to transmit information between other nodes. represents the number of shortest edge paths passing through the vth node (i.e., 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.

[0046] The comprehensive centrality value of a node is calculated based on its centrality index. The calculation formula is: ; In the formula, represents the comprehensive central value, is the weight of degree centrality, is the weight of betweenness centrality, are the weights close to the centrality; they are all determined based on experimental data fitting.

[0047] By classifying and organizing the risk factors in historical construction data, the relationship between different risk factors can be clearly identified and understood. This clear risk mapping helps the construction team identify which factors are key risk points, so as to better manage and respond to these risks. In addition, the risk propagation network diagram visualizes each risk factor and its impact in a system, helping the construction team to grasp the interaction and influence chain between risk factors, so that when risks occur, they can quickly locate the source and key nodes and implement effective intervention measures.

[0048] 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.

[0049] 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 protection scope of the present invention.

Claims

1. A multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation, characterized in that: The following steps are involved: Step 1: Collect data for model building; Step 2: Use the model building 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 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; Step 4: Based on the comparison between the change value of the weather parameter and the preset dynamic threshold, it is determined whether to switch the current construction simulation scene; If the construction simulation scene is switched, the simulation scene after switching is generated, and the comprehensive evaluation score of dynamic interference on the simulation scene after switching 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 can be safely implemented under the current conditions; If it cannot be implemented safely, extract the changing weather parameters and dynamic interference, and analyze the reasons why it cannot be implemented safely.

2. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in 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 as claimed in claim 2 is characterized by: The method of creating a construction simulation scene 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 as claimed in claim 3 is characterized by: The method of generating new weather parameters is: ; In the formula, 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; The calculation formula of the dynamic change value is: ； In the formula, Indicates the periodic change of the dynamic change value; A indicates the amplitude; is the angular frequency; Indicates phase; represents random noise; Represents the interactive effects between associated weather parameters.

5. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 4 is characterized in that: The functional expression of the interaction between the associated weather parameters is: ； In the formula, 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.

6. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 5, characterized in that: The formula for the comprehensive evaluation score is: ; In the formula, It is the comprehensive evaluation score of the simulated 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.

7. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 6, characterized in that: The calculation formula of the risk factor of dynamic interference is: ； In the formula, It 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 index influencing construction efficiency; The weight coefficient of the influencing index of construction efficiency; It is an indicator of the risk 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.

8. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 7, characterized in that: The calculation formula of the risk index of environmental interference is: ； In the formula, is the adjustment coefficient of the risk indicator; the number of new technologies introduced; The degree of resource shortage; is the weight coefficient of resource shortage degree; F is the frequency of emergencies; is the weight coefficient of the frequency of emergencies; R is the total amount of risk transmission.

9. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 8, characterized in that: The total amount of risk transmission is obtained as follows: Collect historical construction data, extract risk factors and their consequences; classify risk factors, and extract direct and indirect risks; Taking each risk factor as a node, a risk propagation network diagram is established. The nodes are connected by edge paths, and the edge paths are assigned priorities based on the degree of impact of the consequences between the 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: ; In the formula, is the weight of degree centrality, is the weight of betweenness centrality, is the weight of proximity centrality; is the degree centrality of the vth node; is the betweenness centrality of the vth node; is the closeness centrality of the vth 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.

10. The multi-scenario switching and evaluation method based on power transmission and transformation engineering construction simulation as claimed in claim 9, characterized in that: The calculation formula of the centrality index is: ； In the formula, is the number of connections of the vth node; Represents 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 vth node, is the betweenness centrality of the vth node, is the closeness centrality of the vth node.

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