System dynamics tunnel construction environment dynamic evaluation method and system

Abstract

The invention provides a system dynamics tunnel construction environment dynamic evaluation method and system. The system dynamics tunnel construction environment dynamic evaluation method comprises the steps of inputting tunnel construction environment data into an LSTM-Transform model to predict a change condition of a pollution index; establishing a causal relationship diagram and a stock flow diagram including a tunnel construction water environment, a solid waste environment, an atmospheric environment and an ecological environment according to the change condition of the pollution indexes, and determining a calculation equation and a weight of relative pollution degrees of the tunnel construction water environment, the solid waste environment, the atmospheric environment and the ecological environment based on the causal relationship diagram and the stock flow diagram; calculating the relative pollution degree of the environment by utilizing the calculation equation and the weight; and when the relative pollution degree of the environment exceeds a set threshold value, early warning is triggered. According to the method, the deep learning model combined with the LSTM-Transformer is adopted, complex nonlinear changes in the time sequence data can be captured, more accurate pollution index change prediction can be provided, in this way, the future environment change trend can be mastered in advance, a scientific basis is provided for decision making, and sudden environment pollution events are effectively avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dynamic evaluation of construction environment, in particular to a system dynamics tunnel construction environment dynamic evaluation method and system. BACKGROUND

[0002] Tunnels have become an important infrastructure for improving urban and rural transportation networks and promoting regional economic development due to their significant advantages of overcoming terrain elevation, shortening transportation distance, and improving driving safety. With the progress of construction technology, the proportion of tunnel projects in transportation construction continues to increase, and the length and construction difficulty of tunnels are constantly breaking new records. However, large-scale tunnel construction also has a non-negligible negative impact on the environment. The excavation of mountains and the disposal of waste during tunnel construction can easily cause soil erosion, and blasting vibration, dust, and noise can interfere with the surrounding flora and fauna. For long tunnels, tunnel construction will inevitably cause more serious damage to the environment, and it is of great significance to study the environmental evaluation of tunnel construction.

[0003] Due to the hierarchical, high-order, and nonlinear characteristics of tunnel construction environment, traditional environmental evaluation methods have strong subjectivity, insufficient reliability of evaluation results, and delayed emergency response, which cannot well reflect the impact of tunnel construction on the environment. Therefore, a system dynamics method based on field monitoring data is selected to evaluate the tunnel construction environment. SUMMARY

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present application is to provide a system dynamics tunnel construction environment dynamic evaluation method and system.

[0005] To achieve the above-mentioned purpose, the present application provides the following scheme:

[0006] A system dynamics tunnel construction environment dynamic evaluation method, comprising:

[0007] collecting current tunnel construction environment data;

[0008] inputting the current tunnel construction environment data into an LSTM-Transformer model to predict the change of the pollution index;

[0009] establishing a causal relationship diagram and a stock-flow diagram containing tunnel construction water environment, solid waste environment, atmospheric environment, and ecological environment according to the change of the pollution index;

[0010] determining the calculation equation of the relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment, and ecological environment according to the causal relationship diagram and the stock-flow diagram;

[0011] determining the weight of the tunnel construction water environment, atmospheric environment, solid waste environment, and ecological environment using the analytic hierarchy process;

[0012] The relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment is calculated by using a calculation equation and a weight calculation environment relative pollution degree;

[0013] The early warning is triggered when the environment relative pollution degree exceeds a set threshold.

[0014] Preferably, after collecting the current tunnel construction environment data, the method further comprises: performing data cleaning and noise reduction processing on the current tunnel construction environment data.

[0015] Preferably, the current tunnel construction environment data is input into an LSTM-Transformer model to predict the change of the pollution index, including:

[0016] The current tunnel construction environment data is feature extracted, and the feature extracted data is input into an LSTM model to extract short-term dependency relationships of sequences;

[0017] The feature extracted data is input into a Transformer model to capture long-distance dependency relationships of sequences through a multi-head attention mechanism;

[0018] The short-term dependency relationships of sequences and the long-distance dependency relationships of sequences are input into a linear layer of the Transformer model to output as predicted values of the pollution index.

[0019] Preferably, the method for determining the weights of the tunnel construction water environment, atmospheric environment, solid waste environment and ecological environment by using the analytic hierarchy process comprises:

[0020] The relative importance between the tunnel construction water environment, atmospheric environment, solid waste environment and ecological environment is quantified by using a scale method through expert scoring to obtain an environment element judgment matrix;

[0021] The weight vector of the environment element judgment matrix is calculated by using a geometric mean method;

[0022] The weight vector is normalized to obtain a normalized weight vector;

[0023] The environment element judgment matrix is subjected to consistency check, and when the consistency check is passed, the normalized weight vector is taken as the weight of the tunnel construction water environment, atmospheric environment, solid waste environment and ecological environment, respectively.

[0024] The present application also provides a system dynamics tunnel construction environment dynamic evaluation system, comprising:

[0025] An environment data acquisition module is configured to acquire current tunnel construction environment data.

[0026] The prediction module is used to input current tunnel construction environment data into the LSTM-Transformer model to predict changes in pollution indicators.

[0027] The correlation diagram construction module is used to create causal relationship diagrams and stock-flow diagrams that include water environment, solid waste environment, atmospheric environment and ecological environment during tunnel construction based on changes in pollution indicators.

[0028] The calculation equation determination module is used to determine the calculation equations for the relative pollution levels of water environment, solid waste environment, atmospheric environment, and ecological environment during tunnel construction based on the cause-and-effect diagram and the stock-flow diagram.

[0029] The weight determination module is used to determine the weights of water environment, atmospheric environment, solid waste environment and ecological environment in tunnel construction using the analytic hierarchy process.

[0030] The relative environmental pollution degree calculation module is used to calculate the relative environmental pollution degree using the calculation equations and weights of the relative pollution degree of water environment, solid waste environment, atmospheric environment and ecological environment during tunnel construction.

[0031] The early warning module is used to trigger an early warning when the relative pollution level of the environment exceeds a set threshold.

[0032] The present invention also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are connected via the bus. The computer program, when executed by the processor, implements the steps in the above-described method for dynamic evaluation of the system dynamics tunnel construction environment.

[0033] The present invention also provides a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps in the above-described method for dynamic evaluation of the system dynamics tunnel construction environment.

[0034] The beneficial effects of the system dynamics tunnel construction environment dynamic evaluation method provided by this invention are as follows: Compared with the prior art, this invention, by adopting a deep learning model combining LSTM-Transformer, can capture complex nonlinear changes in time series data, provide more accurate predictions of pollution index changes, thus enabling early understanding of future environmental change trends, providing a scientific basis for decision-making, and effectively avoiding sudden environmental pollution events. Attached Figure Description

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0036] Figure 1 is a system dynamics tunnel construction environment dynamic evaluation method flow chart provided by the present application;

[0037] Figure 2 is a causal relationship diagram of tunnel construction environment evaluation provided by the present application;

[0038] Figure 3 is a stock flow diagram of tunnel construction water environment evaluation provided by the present application;

[0039] Figure 4 is a stock flow diagram of tunnel construction solid waste environment evaluation provided by the present application;

[0040] Figure 5 is a stock flow diagram of tunnel construction ecological environment evaluation provided by the present application;

[0041] Figure 6 is a stock flow diagram of tunnel construction atmospheric environment evaluation provided by the present application;

[0042] Figure 7 is a principle diagram of LSTM-Transformer model provided by the present application;

[0043] Figure 8 is a trend diagram of solid waste change amount and regional soil erosion change amount provided by the present application;

[0044] Figure 9 is a trend diagram of regional particulate matter change amount and regional NOx change amount provided by the present application;

[0045] Figure 10 is a trend diagram of water body COD change amount and water body SS change amount provided by the present application;

[0046] Figure 11 is a trend diagram of environmental relative pollution degree and solid waste relative pollution degree provided by the present application;

[0047] Figure 12 is a trend diagram of atmospheric environment relative pollution degree and water environment relative pollution degree provided by the present application;

[0048] Figure 13 is a trend diagram of ecological environment relative pollution degree provided by the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0050] Reference to "an embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another.

[0051] The terms "first", "second", "third", and "fourth" and the like in the description and in the claims of the present application and the drawings referred to herein are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. Moreover, the terms "include", "have", and "contain" and any variations thereof are intended to cover a non-exclusive inclusion. For example, a process, method, product, or apparatus that comprises a list of steps, processes, methods, or components does not necessarily comprise only those listed steps, processes, methods, or components but can optionally include additional steps, processes, methods, or components not expressly listed or inherent to such process, method, product, or apparatus.

[0052] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0053] Please refer to Figure 1 A system dynamics tunnel construction environment dynamic evaluation method, comprising:

[0054] Step 1: Collect current tunnel construction environment data;

[0055] In practical application, the present application can collect tunnel construction environment data in real time through a sensor network, including water quality parameters, air quality parameters, etc., and perform data cleaning and noise reduction. Further, the present application can determine environment evaluation indexes and determine the arrangement position of monitoring equipment according to the actual engineering profile and environmental conditions of tunnel construction;

[0056] The specific environment monitoring device includes a ground sampling device and an air detection device. The ground monitoring device mainly has a gas monitoring station and a water quality monitoring station, and the air monitoring device uses a drone carrying a scent sensor to monitor air pollutants. By setting monitoring equipment at the tunnel portal and 500m away from the tunnel portal, data is saved into a monitoring data database through an API interface.

[0057] The environmental monitoring device collects tunnel construction atmospheric pollutants at the tunnel portal and within a certain distance from the tunnel portal every certain period of time, calculates the concentrations of various pollutants in tunnel construction and the dissipation rates of various pollutants with time and space as part of the tunnel environmental evaluation system equation.

[0058] The tunnel environmental evaluation system includes a water environmental evaluation subsystem, an atmospheric environmental evaluation subsystem, a solid waste environmental evaluation subsystem, and an ecological environmental evaluation subsystem, determines the evaluation objects of various environmental evaluation subsystems, constructs a cause-and-effect diagram and a stock-flow diagram of tunnel construction environmental evaluation, and an example schematic diagram is shown in Figure 2 The environmental evaluation is divided into water environment, atmospheric environment, solid waste environment and ecological environment for evaluation.

[0059] Step 2: input the current tunnel construction environmental data into the LSTM-Transformer model to predict the change of the pollution index;

[0060] In step 2, the current tunnel construction environmental data is feature extracted, and the feature extracted data is input into the LSTM model to extract the short-term dependency relationship of the sequence;

[0061] The feature extracted data is input into the Transformer model to capture the long-distance dependency relationship of the sequence through the multi-head attention mechanism;

[0062] The short-term dependency relationship of the sequence and the long-distance dependency relationship of the sequence are input into the linear layer of the Transformer model to output the predicted value of the pollution index.

[0063] Further, step 2 includes:

[0064] As shown in Figure 7 , the original data of the time series is obtained through data screening and preprocessing. The data is feature extracted and input into the LSTM input layer as input data. The LSTM model is used to extract the short-term dependency relationship of the sequence while maintaining the data order. Then the sequence is input into the Transformer model to further capture the long-distance dependency relationship of the sequence through the multi-head attention mechanism. Finally, the Transformer encoder outputs the complex features to the predicted value through the linear layer. In the LSTM model, the related formulas are shown in (1)-(6):

[0065] f t =σ(w f ·[h t-1 ,x t ]+b f ) (1)

[0066] i t =σ(wi · [h t-1 , x t ] + b i ) (2)

[0067]

[0068] O t = σ(w o · [h t-1 , x t ] + b i ) (5)

[0069] h t = O t · tanh(C t ) (6)

[0070] where σ is the Sigmoid function, f t and C t are in the range of 0 to 1. When f t = 0 and i t = 1, all historical information is discarded and the candidate state is completely injected into the memory unit. When f t = 1 and i t = 0, the new input information is discarded and all historical information in the architecture is injected into the memory unit. x t is the input vector at the current time t, i t represents the output vector of the input gate at time t, h t-1 is the hidden state at the previous time step (t-1). C t is the cell state vector at the current time t, which is the long-term memory carrier of the network and is selectively updated through the gating mechanism. is the candidate cell state generated at the current time, which represents the potential update content of the cell state. O t represents the output vector of the output gate (0-1), which controls the output degree of the current cell state. W f , W i , W c , W o are the weight matrices of the forget gate, input gate, candidate state, and output gate, respectively, which are used to calculate the mapping of the input to the output of each gate. b f , b i , b c , b o are the bias vectors of the forget gate, input gate, candidate state, and output gate, respectively, which are used to adjust the calculation of each gate. tanh is the hyperbolic tangent function, which compresses the input value to the interval (-1-1), and is used to generate the candidate state or output standardization.

[0071] In the transformer model, the relevant formulas are shown in (7)-(10):

[0072]

[0073] where Q, K, V represent query, key and value tokens respectively, C is the channel dimension, h ∈ [1,..., N], C' is the channel dimension along each head, i.e., C' = C / N. W represents the side length of the local window, denotes the number of windows. is the Q / K / V dimension within each window. To simplify the derivation, the subscript h is omitted in the following. Given the flattened Q i , K i and V i tokens in the i-th window, the window-based attention layer performs self-attention as follows:

[0074] F i = SA(Q i ,K i ,V i ) (9)

[0075] F = (softmax(QK T )+ r)V (10) SA(·) is the self-attention function, softmax(QK T ) is the attention weight, r is the scaling factor, and F is the final self-attention output.

[0076] Step 3: According to the changes of pollution indicators, a causal relationship diagram and a stock flow diagram containing the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment are established, as shown in Figures 3-6 .

[0077] Step 4: According to the causal relationship diagram and the stock flow diagram, the calculation equation of the relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment is determined;

[0078] Step 5: The weights of the tunnel construction water environment, atmospheric environment, solid waste environment and ecological environment are determined by the analytic hierarchy process;

[0079] When calculating the environmental protection investment proportion of each environmental part and the relative pollution degree of the tunnel construction environment, the analytic hierarchy process is used to establish a judgment matrix to determine the appropriate environmental protection investment proportion and the weights of each environmental subsystem. The specific method is as follows:

[0080] The system dynamics parameters and equations are assigned values, including constants, equations, and table functions, as follows, including tunnel excavation table functions, spoil site erosion modulus table functions, and various pollutant concentration table functions, as well as environmental assessment weights of various environmental assessment subsystems, and environmental carrying capacity limits. After the system dynamics model is established, the model is verified with historical data and the model boundaries and dimensions are verified to ensure that the model structure is reasonable.

[0081] The equations are as follows:

[0082] Tunnel construction intensity table function:

[0083] According to the organization plan arrangement of tunnel construction, the table function of tunnel construction intensity and time correlation is set. The tunnel construction period is 51 months, of which the first three months are construction site arrangement and preparation, and no tunnel excavation is performed. Then, according to the progress requirements, the excavation speed of grade III surrounding rock is set to 120 m / month, the excavation speed of grade IV surrounding rock is set to 80 m / month, and the excavation speed of grade V surrounding rock is set to 50 m / month. The excavation method adopts import, export and inclined shaft multi-work area excavation. The table function is set according to the excavation speed as follows:

[0084] ([0, 0] - (51, 559)], (0, 0), (3, 0), (4, 108), (6, 108), (9, 160), (12, 168.2), (15, 228.5), (18, 163.6), (21, 179), (24, 193.7), (27, 344.3), (30, 559), (33, 492), (36, 325), (39, 352.6), (42, 173.5), (45, 177.2), (48, 189.3), (51, 145.3))

[0085] Soil erosion modulus table function:

[0086] Considering that the first three months before tunnel excavation are for construction site arrangement and preparation, the soil erosion modulus of the construction site with time is set. The data is set according to the environmental impact report, and the table function is set as follows:

[0087] ([(0, 0) - (51, 5000)], (0, 500), (1, 1500), (2, 2500), (3, 5000), (6, 5000), (12, 5000), (24, 5000), (42, 5000), (51, 5000))

[0088] Determination of equations in the model:

[0089] Regional water resources change = INTEG (water resources reduction, initial value)

[0090] Solid waste change amount = INTEG (solid waste generation amount - solid waste treatment amount, initial value)

[0091] Regional soil erosion change amount = INTEG (soil erosion generation amount - soil erosion prevention amount, initial value)

[0092] Water body COD change amount = INTEG (water body COD increase amount - water body COD treatment amount, initial value)

[0093] Water body SS change amount = INTEG (water body SS increase amount - water body SS treatment amount, initial value)

[0094] Regional particulate matter change amount = INTEG (particulate matter increase amount - particulate matter treatment amount, initial value)

[0095] Regional NOx change amount = INTEG (NOx increase amount - NOx reduction amount, initial value)

[0096] Solid waste generation amount = tunnel hole residue generation amount + household garbage generation amount

[0097] Solid waste treatment amount = solid waste environmental protection investment / unit solid waste treatment cost + tunnel abandoned residue generation amount * tunnel abandoned residue utilization rate

[0098] Solid waste treatment investment = environmental protection investment amount * solid waste treatment investment proportion

[0099] Soil erosion generation amount = tunnel portal soil erosion amount + abandoned residue field soil erosion amount + construction road soil erosion amount + construction site soil erosion amount

[0100] Soil erosion prevention amount = ecological protection investment * soil conservation investment proportion

[0101] Atmospheric environmental protection investment = environmental protection investment amount * atmospheric environmental protection investment proportion

[0102] Regional particulate matter generation amount = construction blasting dust * tunnel excavation intensity * 0.001 + construction vehicle particulate matter emission amount

[0103] Regional NOx emission amount = tunnel construction vehicle generation amount + tunnel blasting generation amount

[0104] Water body COD increase amount = tunnel water inflow amount * construction wastewater COD concentration * 1e-06 + household wastewater COD concentration * household water amount * 1e-06

[0105] Water body SS increase amount = construction wastewater SS concentration * tunnel water inflow amount * 1e-06 + household water amount * household wastewater SS concentration * 1e-06

[0106] Abandoned residue field soil erosion amount = abandoned residue field soil erosion modulus increase amount * abandoned residue field area

[0107] Construction road soil loss amount = construction road soil erosion modulus increment * construction road area

[0108] Water environmental protection investment = environmental protection investment * water environmental protection investment ratio

[0109] Water resource reduction amount = tunnel water inflow + domestic water consumption

[0110] Ecological protection investment = environmental protection investment * ecological protection investment ratio

[0111] Domestic waste generation = 30 * domestic waste generation quota * number of personnel in tunnel site area / 1000

[0112] Tunnel muck generation = 2 * tunnel excavation intensity * tunnel cross-sectional area * tunnel muck density

[0113] Tunnel muck utilization investment = solid waste treatment investment * tunnel muck utilization investment ratio

[0114] Tunnel muck utilization amount = tunnel muck utilization investment / unit tunnel muck utilization cost

[0115] Environmental relative pollution degree = atmospheric relative pollution degree * atmospheric environment weight + water environment relative pollution degree * water environment relative weight + solid waste relative pollution degree * solid waste environment relative + ecological environment relative pollution degree * ecological environment relative weight

[0116] Experts compare the relative importance of the environmental subsystem by referring to the above determined equation through scoring, and use 1-9 scale method to quantify the relative importance, and obtain the judgment matrix, as shown in Table 1 below.

[0117] Table 1

[0118] Environmental element Solid waste environment Water environment Atmospheric environment Ecological environment Solid waste environment 1 1 / 3 1 / 5 1 / 2 Water environment 3 1 1 / 2 2 Atmospheric environment 5 2 1 3 Ecological environment 2 1 / 2 1 / 3 1

[0119] The weight vector of the judgment matrix is calculated, and the geometric average method is used for calculation:

[0120]

[0121] Where i represents the number of rows of the matrix, the calculation result is that the first row is 0.43, the second row is 1.32, the third row is 2.34, and the fourth row is 0.76.

[0122] The weight is normalized to obtain the weight vector, and the calculation formula is as follows:

[0123]

[0124] The calculation result is: w = [0.09, 0.27, 0.48, 0.16]

[0125] The consistency of the obtained matrix is checked, the maximum eigenvalue is calculated first, the maximum eigenvalue is calculated as follows, the calculation result is λ max = 4.15.

[0126]

[0127] The consistency index CI is calculated, CI = 0.05

[0128]

[0129] The random consistency index (RI) is obtained by looking up the table, and the fourth-order matrix RI = 0.9

[0130]

[0131] The consistency check is passed, the model is effective, so the final determination is made, the weight indexes of the solid waste environment, water environment, atmospheric environment and ecological environment are water environment 0.48, atmospheric environment 0.27, ecological environment 0.16 and solid waste environment 0.09.

[0132] Step 6: The relative pollution degree of the environment is calculated by using the calculation equation of the relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment and the weight;

[0133] Step 7: Trigger the early warning when the relative pollution degree of the environment exceeds the set threshold.

[0134] The calculation method of the relative pollution degree of the environment is:

[0135] The relative pollution degree of the environment = atmospheric relative pollution degree * atmospheric environment weight + water environment relative pollution degree * water environment relative weight + solid waste relative pollution degree * solid waste environment relative + ecological environment relative pollution degree * ecological environment relative weight.

[0136] Among them, the solid waste system is mainly the tunnel spoil generated by tunnel construction, considering the spoil yard capacity as the limit value of tunnel solid waste pollution degree, then the calculation method of the relative pollution degree of the solid waste environment is:

[0137] The relative pollution degree of the solid waste environment = solid waste change amount / 5.17512e+06

[0138] The relative pollution degree of the atmospheric environment is estimated by the A value method recommended in the current atmospheric environmental evaluation technical guide of China to estimate the regional quasi-static atmospheric environment capacity, the calculation formula is as follows:

[0139] Q = A·S·ΔC (16)

[0140] Where, Q - the quasi-static environmental capacity of atmospheric pollutants, 104 tons / year

[0141] A—total amount control coefficient, 104km2 / year

[0142] S—area, km2

[0143] AC—difference between ambient air quality standards and background concentration, mg / m 3

[0144] According to the provisions of the Ambient Air Quality Standards GB3095-2012, the secondary standard particle suspended matter concentration is 0.2mg / m3, NOx is 0.04mg / m3, the background concentration of particle suspended matter is 0.04mg / m3, NOx is 0.024mg / m3, since the tunnel is located in the Yili River Valley of Xinjiang Uygur Autonomous Region, A value is 1.8, the tunnel site area is 19.04km2, the calculated quasi-static environmental allowable value is: QTSP=54835t / year; QNOx=6854.4t / year, considering the simulation step is 1 month when performing system dynamics simulation, the calculation needs to be divided by 12.

[0145] The ecological environment mainly considers the impact of soil erosion on the environment, and the construction disturbance area is considered as the moderate soil erosion intensity in the calculation process, and the soil erosion modulus of 2500t / (km2*year) is taken for calculation, which also needs to be divided by 12.

[0146] The relative pollution degree of water environment mainly considers the content of water pollutants in the tunnel construction process and the loss of water resources in the construction process, and the water pollutants are COD content and SS content. By default, the water pollutants are discharged with the loss of tunnel water resources. According to the Environmental Quality Standards for Surface Water (GB3838-2002), the allowable value of COD content is 100mg / L, and the allowable value of SS content is 70mg / L. Considering that the evaluation weight of COD is 0.4 and the evaluation weight of SS is 0.6, the relative pollution index of water environment is:

[0147] 0.6*water SS change / (70*water loss*10e-6)+0.4*water COD change / (70*water loss*10e-6)

[0148] If the types of pollutants considered in the construction of each environmental subsystem model are more, the weights of each item in the relative pollution index calculation are determined by using the analytic hierarchy process.

[0149] Through the above calculation, the stock of environmental pollutants during tunnel construction can be converted into the relative pollution degree of various environmental subsystems, and the pollution of tunnel construction on the environment can be intuitively represented.

[0150] By bringing the above equation into the tunnel construction environment evaluation stock flow diagram, the changes of various pollutants of the tunnel construction and the changes of the environmental pollution degree can be calculated. The calculated results are output in a curve graph, and the output results are shown in the following Figures 8-13 According to the output result graph, the changes of the pollutant concentration and the relative environmental pollution degree during the tunnel construction process can be predicted.

[0151] According to the real-time monitoring results of the construction site, the construction speed and the concentration of pollutants can be modified in real time, and the environmental pollution degree of the tunnel construction process can be dynamically analyzed.

[0152] According to the environmental evaluation calculation results, for the time period when the environmental pollutants are generated quickly and the time period when the environmental pollution degree is high, the construction strategy can be changed, the environmental protection investment can be increased, and the influence of the construction on the environment can be reduced.

[0153] The application also provides a system dynamics tunnel construction environment dynamic evaluation system, which comprises:

[0154] An environmental data acquisition module is configured to acquire current tunnel construction environmental data.

[0155] A prediction module is configured to input the current tunnel construction environmental data into an LSTM-Transformer model to predict the changes of pollution indicators.

[0156] A correlation graph construction module is configured to establish a causal relationship graph and a stock flow graph containing the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment according to the changes of the pollution indicators.

[0157] A calculation equation determination module is configured to determine the calculation equation of the relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment according to the causal relationship graph and the stock flow graph.

[0158] A weight determination module is configured to determine the weights of the tunnel construction water environment, atmospheric environment, solid waste environment and ecological environment by using the analytic hierarchy process.

[0159] An environmental relative pollution degree calculation module is configured to calculate the environmental relative pollution degree by using the calculation equation of the relative pollution degree of the tunnel construction water environment, solid waste environment, atmospheric environment and ecological environment and the weights.

[0160] An early warning module is configured to trigger an early warning when the environmental relative pollution degree exceeds a set threshold.

[0161] Compared with the prior art, the beneficial effects of the system dynamics tunnel construction environment dynamic evaluation system provided by the application are the same as those of the system dynamics tunnel construction environment dynamic evaluation method described in the above technical solution, and will not be repeated here.

[0162] The application further provides an electronic device, comprising a bus, a transceiver, a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory and the processor are connected through the bus, and wherein the computer program, when executed by the processor, implements the steps of the system dynamics tunnel construction environment dynamic evaluation method.

[0163] The application further provides a computer readable storage medium, which stores a computer program, and wherein the computer program, when executed by a processor, implements the steps of the system dynamics tunnel construction environment dynamic evaluation method.

[0164] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts of each embodiment can be mutually referred to. For the method disclosed by the embodiments, since it corresponds to the device disclosed by the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the device.

[0165] The principles and implementation manners of the application are described by using specific examples in this paper, and the above description of the embodiments is only used to help understand the method of the application and its core idea; meanwhile, for those skilled in the art, according to the idea of the application, the specific implementation manners and application ranges can be changed. In conclusion, the content of the specification should not be understood as a limitation of the application.

Claims

1. A method for dynamic evaluation of the tunnel construction environment based on system dynamics, characterized in that, include: Collect current tunnel construction environment data; Input the current tunnel construction environment data into the LSTM-Transformer model to predict changes in pollution indicators; Based on changes in pollution indicators, establish causal relationship diagrams and stock-flow diagrams that include water environment, solid waste environment, atmospheric environment, and ecological environment during tunnel construction. The calculation equations for the relative pollution levels of water environment, solid waste environment, atmospheric environment, and ecological environment during tunnel construction are determined based on the cause-and-effect diagram and the stock-flow diagram. The weights of water environment, atmospheric environment, solid waste environment and ecological environment in tunnel construction were determined using the analytic hierarchy process (AHP). The relative pollution level of the environment is calculated using the calculation equations and weights for the relative pollution levels of water environment, solid waste environment, atmospheric environment, and ecological environment during tunnel construction. An alert is triggered when the relative level of environmental pollution exceeds a set threshold.

2. The method for dynamic evaluation of the tunnel construction environment according to claim 1, characterized in that, After collecting current tunnel construction environment data, the process also includes: data cleaning and noise reduction of the current tunnel construction environment data.

3. The method for dynamic evaluation of the tunnel construction environment according to claim 2, characterized in that, The current tunnel construction environment data is input into the LSTM-Transformer model to predict changes in pollution indicators, including: Feature extraction is performed on the current tunnel construction environment data, and the extracted data is then input into an LSTM model to extract short-term dependencies of sequences. The data after feature extraction is input into the Transformer model, and the long-distance dependencies of the sequence are captured through the multi-head attention mechanism; The short-term and long-term dependencies of the sequences are input into the linear layer of the Transformer model, and the output is the predicted value of the pollution index.

4. The method for dynamic evaluation of the tunnel construction environment according to claim 3, characterized in that, The determination of the weights of water environment, atmospheric environment, solid waste environment, and ecological environment during tunnel construction using the analytic hierarchy process includes: An environmental element judgment matrix was obtained by using a scaling method to quantify the relative importance of water environment, atmospheric environment, solid waste environment and ecological environment in tunnel construction through expert scoring. The weight vector of the environmental factor judgment matrix is ​​calculated using the geometric mean method. Normalize the weight vector to obtain the normalized weight vector; A consistency test is performed on the environmental element judgment matrix. When the consistency test is passed, the normalized weight vector is used as the weights for water environment, atmospheric environment, solid waste environment and ecological environment in tunnel construction.

5. A system dynamics evaluation system for tunnel construction environment, characterized in that, include: The environmental data acquisition module is used to collect current tunnel construction environment data; The prediction module is used to input current tunnel construction environment data into the LSTM-Transformer model to predict changes in pollution indicators. The correlation diagram construction module is used to create causal relationship diagrams and stock-flow diagrams that include water environment, solid waste environment, atmospheric environment and ecological environment during tunnel construction based on changes in pollution indicators. The calculation equation determination module is used to determine the calculation equations for the relative pollution levels of water environment, solid waste environment, atmospheric environment, and ecological environment during tunnel construction based on the cause-and-effect diagram and the stock-flow diagram. The weight determination module is used to determine the weights of water environment, atmospheric environment, solid waste environment and ecological environment in tunnel construction using the analytic hierarchy process. The relative environmental pollution degree calculation module is used to calculate the relative environmental pollution degree using the calculation equations and weights of the relative pollution degree of water environment, solid waste environment, atmospheric environment and ecological environment during tunnel construction. The early warning module is used to trigger an early warning when the relative pollution level of the environment exceeds a set threshold.

6. An electronic device comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, characterized in that, When the computer program is executed by the processor, it implements the steps in the system dynamics tunnel construction environment dynamic evaluation method as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the system dynamics tunnel construction environment dynamic evaluation method as described in any one of claims 1-4.

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